diff --git a/research/experiments/EXP-BATCH-20260908200906-19/report.md b/research/experiments/EXP-BATCH-20260908200906-19/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..b59c57aa7f77c7ae423a5f0f64b7562b287c083b
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-19/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260908200906-19: Experiment workflow: exploratory RQ-STORAGE-001
+
+## Forschungsfrage
+RQ-STORAGE-001
+
+## Hypothese
+H-STOR-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 157.806376 s
+
+## Ergebnis
+Tick: 17000 -> 18000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260908200906-19/summary.md b/research/experiments/EXP-BATCH-20260908200906-19/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..0b9bd210cceffd1a1591400e5b5fbd026b812526
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-19/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260908200906-19: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-STORAGE-001`
+- Hypothese: `H-STOR-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-STORAGE-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `50eb28586c715b0e17872caf016c04c7c38a53dd`
+- Git dirty: `True`
+- Runtime: `157.80637640005443` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260908200906-19/workflow.json b/research/experiments/EXP-BATCH-20260908200906-19/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..e3d50974268070cdbf646f1380cc1de1930919de
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-19/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-STORAGE-001",
+  "research_question": "RQ-STORAGE-001",
+  "hypothesis": "H-STOR-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-20/analysis/statistics.json b/research/experiments/EXP-BATCH-20260908200906-20/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-20/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-20/manifest.json b/research/experiments/EXP-BATCH-20260908200906-20/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..efc29a87e4e4418e1ce513cd411992c425c23d80
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-20/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260908200906-20/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-08T22:08:54.506342+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260908200906-20",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "50eb28586c715b0e17872caf016c04c7c38a53dd",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-STOR-002-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-STORAGE-002"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 19000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 18000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 153.42878449999262
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-09T00:08:54.506333",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-20/report.md b/research/experiments/EXP-BATCH-20260908200906-20/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..b15ded667fb93491eba67f65aafdde9e782603a8
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-20/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260908200906-20: Experiment workflow: exploratory RQ-STORAGE-002
+
+## Forschungsfrage
+RQ-STORAGE-002
+
+## Hypothese
+H-STOR-002-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 153.428784 s
+
+## Ergebnis
+Tick: 18000 -> 19000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260908200906-20/summary.md b/research/experiments/EXP-BATCH-20260908200906-20/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf7707d75bd24118da2ed4e459cfae5e72c1807f
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-20/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260908200906-20: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-STORAGE-002`
+- Hypothese: `H-STOR-002-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-STORAGE-002
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `50eb28586c715b0e17872caf016c04c7c38a53dd`
+- Git dirty: `True`
+- Runtime: `153.42878449999262` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260908200906-20/workflow.json b/research/experiments/EXP-BATCH-20260908200906-20/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..5cd76a998525821c2daef5c1a03b9febb044e267
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-20/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-STORAGE-002",
+  "research_question": "RQ-STORAGE-002",
+  "hypothesis": "H-STOR-002-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-21/analysis/statistics.json b/research/experiments/EXP-BATCH-20260908200906-21/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-21/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-21/manifest.json b/research/experiments/EXP-BATCH-20260908200906-21/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..7b7f75320850cb3af12a98016aaad6d270d8c990
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-21/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260908200906-21/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-08T22:11:28.111876+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260908200906-21",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "50eb28586c715b0e17872caf016c04c7c38a53dd",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-STOR-003-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-STORAGE-003"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 20000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 19000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 150.55060850002337
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-09T00:11:28.111868",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-21/report.md b/research/experiments/EXP-BATCH-20260908200906-21/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..aa9174f77321b75615649162cba616ccf17e3f5b
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-21/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260908200906-21: Experiment workflow: exploratory RQ-STORAGE-003
+
+## Forschungsfrage
+RQ-STORAGE-003
+
+## Hypothese
+H-STOR-003-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 150.550609 s
+
+## Ergebnis
+Tick: 19000 -> 20000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260908200906-21/summary.md b/research/experiments/EXP-BATCH-20260908200906-21/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..04f7217fd0afcb693c7b67bf6d0577ef6abe836a
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-21/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260908200906-21: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-STORAGE-003`
+- Hypothese: `H-STOR-003-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-STORAGE-003
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `50eb28586c715b0e17872caf016c04c7c38a53dd`
+- Git dirty: `True`
+- Runtime: `150.55060850002337` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260908200906-21/workflow.json b/research/experiments/EXP-BATCH-20260908200906-21/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..570fa8c3a80266e4aee20a69902d8829ac24c12d
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-21/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-STORAGE-003",
+  "research_question": "RQ-STORAGE-003",
+  "hypothesis": "H-STOR-003-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-22/analysis/statistics.json b/research/experiments/EXP-BATCH-20260908200906-22/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-22/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-22/manifest.json b/research/experiments/EXP-BATCH-20260908200906-22/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..b490740ab7b020df71673c57d95e755f81c926d4
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-22/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260908200906-22/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-08T22:13:59.046419+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260908200906-22",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "50eb28586c715b0e17872caf016c04c7c38a53dd",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-STOR-004-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-STORAGE-004"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 21000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 20000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 159.26429709990043
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-09T00:13:59.046414",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-22/report.md b/research/experiments/EXP-BATCH-20260908200906-22/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..a2fff2fc8bc2c71e631c6199a1eae68ff8d8427f
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-22/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260908200906-22: Experiment workflow: exploratory RQ-STORAGE-004
+
+## Forschungsfrage
+RQ-STORAGE-004
+
+## Hypothese
+H-STOR-004-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 159.264297 s
+
+## Ergebnis
+Tick: 20000 -> 21000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260908200906-22/summary.md b/research/experiments/EXP-BATCH-20260908200906-22/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..f8034b1a62a77f566fe95d753c14828634ac8f87
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-22/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260908200906-22: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-STORAGE-004`
+- Hypothese: `H-STOR-004-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-STORAGE-004
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `50eb28586c715b0e17872caf016c04c7c38a53dd`
+- Git dirty: `True`
+- Runtime: `159.26429709990043` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260908200906-22/workflow.json b/research/experiments/EXP-BATCH-20260908200906-22/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..58424eaecdf6b1960d66bf0644b2d09263146bfd
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-22/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-STORAGE-004",
+  "research_question": "RQ-STORAGE-004",
+  "hypothesis": "H-STOR-004-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-23/analysis/statistics.json b/research/experiments/EXP-BATCH-20260908200906-23/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-23/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-23/manifest.json b/research/experiments/EXP-BATCH-20260908200906-23/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..77cd726e9be2bfea533eef7b1506a82bab08c5dc
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-23/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260908200906-23/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-08T22:16:38.507286+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260908200906-23",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "50eb28586c715b0e17872caf016c04c7c38a53dd",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-SCALE-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-SCALE-001"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 22000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 21000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 157.40443200001027
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-09T00:16:38.507277",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-23/report.md b/research/experiments/EXP-BATCH-20260908200906-23/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..d580298be9313670f97cde8df7674261cd35b3e1
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-23/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260908200906-23: Experiment workflow: exploratory RQ-SCALE-001
+
+## Forschungsfrage
+RQ-SCALE-001
+
+## Hypothese
+H-SCALE-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 157.404432 s
+
+## Ergebnis
+Tick: 21000 -> 22000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260908200906-23/summary.md b/research/experiments/EXP-BATCH-20260908200906-23/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..00c778f5f0a09917f3f0b1dbf23ff2f10498335f
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-23/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260908200906-23: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-SCALE-001`
+- Hypothese: `H-SCALE-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-SCALE-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `50eb28586c715b0e17872caf016c04c7c38a53dd`
+- Git dirty: `True`
+- Runtime: `157.40443200001027` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260908200906-23/workflow.json b/research/experiments/EXP-BATCH-20260908200906-23/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..584bb5dcc9b12a2e94b42d310da1fbdf2b288a3d
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-23/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-SCALE-001",
+  "research_question": "RQ-SCALE-001",
+  "hypothesis": "H-SCALE-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-24/analysis/statistics.json b/research/experiments/EXP-BATCH-20260908200906-24/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-24/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-24/manifest.json b/research/experiments/EXP-BATCH-20260908200906-24/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..1e0a5bc1a8888beb3de5641cfc560cb1f78cedfe
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-24/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260908200906-24/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-08T22:19:16.119904+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260908200906-24",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "50eb28586c715b0e17872caf016c04c7c38a53dd",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-SELF-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-SELF-001"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 23000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 22000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 154.8571313000284
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-09T00:19:16.119895",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-24/report.md b/research/experiments/EXP-BATCH-20260908200906-24/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..104e7f4576cd154c2acb5ac7804943db10323de8
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-24/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260908200906-24: Experiment workflow: exploratory RQ-SELF-001
+
+## Forschungsfrage
+RQ-SELF-001
+
+## Hypothese
+H-SELF-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 154.857131 s
+
+## Ergebnis
+Tick: 22000 -> 23000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260908200906-24/summary.md b/research/experiments/EXP-BATCH-20260908200906-24/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..0905053034cc4fee97c08a25ec2ae665d6d55a7d
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-24/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260908200906-24: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-SELF-001`
+- Hypothese: `H-SELF-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-SELF-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `50eb28586c715b0e17872caf016c04c7c38a53dd`
+- Git dirty: `True`
+- Runtime: `154.8571313000284` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260908200906-24/workflow.json b/research/experiments/EXP-BATCH-20260908200906-24/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..5dd6de2e1e647a94ca6d03e303b74dd72d6eac7b
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-24/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-SELF-001",
+  "research_question": "RQ-SELF-001",
+  "hypothesis": "H-SELF-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-25/analysis/statistics.json b/research/experiments/EXP-BATCH-20260908200906-25/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-25/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-25/manifest.json b/research/experiments/EXP-BATCH-20260908200906-25/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..f772a3c4aa4f37caa23c891a8f2c84758819989c
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-25/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260908200906-25/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-08T22:21:51.445887+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260908200906-25",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "50eb28586c715b0e17872caf016c04c7c38a53dd",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-SELF-002-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-SELF-002"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 24000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 23000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 160.5657054000767
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-09T00:21:51.445881",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-25/report.md b/research/experiments/EXP-BATCH-20260908200906-25/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..90113ea4360bab5663dbd86bfaf5f09aa046f2a3
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-25/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260908200906-25: Experiment workflow: exploratory RQ-SELF-002
+
+## Forschungsfrage
+RQ-SELF-002
+
+## Hypothese
+H-SELF-002-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 160.565705 s
+
+## Ergebnis
+Tick: 23000 -> 24000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260908200906-25/summary.md b/research/experiments/EXP-BATCH-20260908200906-25/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..d5f78aefb43befd1f37b613217c4faeaf1c149ba
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-25/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260908200906-25: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-SELF-002`
+- Hypothese: `H-SELF-002-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-SELF-002
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `50eb28586c715b0e17872caf016c04c7c38a53dd`
+- Git dirty: `True`
+- Runtime: `160.5657054000767` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260908200906-25/workflow.json b/research/experiments/EXP-BATCH-20260908200906-25/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..0c5e94181a414b8b023efe6a328dde2796418ab5
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-25/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-SELF-002",
+  "research_question": "RQ-SELF-002",
+  "hypothesis": "H-SELF-002-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-26/analysis/statistics.json b/research/experiments/EXP-BATCH-20260908200906-26/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-26/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-26/manifest.json b/research/experiments/EXP-BATCH-20260908200906-26/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..bb191c68a1ed300bb828cdaa0cf34322e81e0863
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-26/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260908200906-26/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-08T22:24:32.217343+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260908200906-26",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "50eb28586c715b0e17872caf016c04c7c38a53dd",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-STRUCT-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-STRUCT-001"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 25000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 24000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 157.4252426000312
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-09T00:24:32.217334",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-26/report.md b/research/experiments/EXP-BATCH-20260908200906-26/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..e7233aac52e97b2be3fb9fb0e64116e36d9c2ef7
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-26/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260908200906-26: Experiment workflow: exploratory RQ-STRUCT-001
+
+## Forschungsfrage
+RQ-STRUCT-001
+
+## Hypothese
+H-STRUCT-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 157.425243 s
+
+## Ergebnis
+Tick: 24000 -> 25000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260908200906-26/summary.md b/research/experiments/EXP-BATCH-20260908200906-26/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..a6c3c83f4b00c99bc97c7a6513d0d106f576c1f9
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-26/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260908200906-26: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-STRUCT-001`
+- Hypothese: `H-STRUCT-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-STRUCT-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `50eb28586c715b0e17872caf016c04c7c38a53dd`
+- Git dirty: `True`
+- Runtime: `157.4252426000312` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260908200906-26/workflow.json b/research/experiments/EXP-BATCH-20260908200906-26/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..97b28cdc73aece1408cdbdb8455065fee96732c9
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-26/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-STRUCT-001",
+  "research_question": "RQ-STRUCT-001",
+  "hypothesis": "H-STRUCT-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260908200906-27/workflow.json b/research/experiments/EXP-BATCH-20260908200906-27/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..a099031e855e11255d88ad17d5eecf1ee7044d34
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260908200906-27/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-MEM-001",
+  "research_question": "RQ-MEM-001",
+  "hypothesis": "H-MEM-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-04/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-04/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-04/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-04/manifest.json b/research/experiments/EXP-BATCH-20260909223705-04/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..70197000418bfd5f1ba9507cfa7856d2a523838e
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-04/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-04/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-09T22:52:17.886136+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-04",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "EXPLORATORY-UNSPECIFIED"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-SNN-003"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 3000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 2000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 485.59091729999636
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T00:52:17.886129",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-04/report.md b/research/experiments/EXP-BATCH-20260909223705-04/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..a57e2682f4923b556d5f602fbbc3ad59ea3b8dbe
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-04/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-04: Experiment workflow: exploratory RQ-SNN-003
+
+## Forschungsfrage
+RQ-SNN-003
+
+## Hypothese
+EXPLORATORY-UNSPECIFIED
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 485.590917 s
+
+## Ergebnis
+Tick: 2000 -> 3000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-04/summary.md b/research/experiments/EXP-BATCH-20260909223705-04/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..602fb3b1f3d081a654dcddbee1a62283bf947016
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-04/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-04: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-SNN-003`
+- Hypothese: `EXPLORATORY-UNSPECIFIED`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-SNN-003
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `485.59091729999636` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-04/workflow.json b/research/experiments/EXP-BATCH-20260909223705-04/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..a94179f7243807d28deaafe7a23f9fd254e892dc
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-04/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-SNN-003",
+  "research_question": "RQ-SNN-003",
+  "hypothesis": "EXPLORATORY-UNSPECIFIED",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-05/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-05/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-05/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-05/manifest.json b/research/experiments/EXP-BATCH-20260909223705-05/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..99e55fef107d4f9f0b94f2b8a09301a0fe9af473
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-05/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-05/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-09T23:00:23.839131+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-05",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-SNN-004-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-SNN-004"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 4000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 3000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 487.5800569999992
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T01:00:23.839122",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-05/report.md b/research/experiments/EXP-BATCH-20260909223705-05/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..d8fce83277377767894b52379458f3d5f7e5c5b6
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-05/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-05: Experiment workflow: exploratory RQ-SNN-004
+
+## Forschungsfrage
+RQ-SNN-004
+
+## Hypothese
+H-SNN-004-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 487.580057 s
+
+## Ergebnis
+Tick: 3000 -> 4000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-05/summary.md b/research/experiments/EXP-BATCH-20260909223705-05/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..242e5dd8d033f3cd5cc6ecf3146498170eb23b5b
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-05/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-05: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-SNN-004`
+- Hypothese: `H-SNN-004-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-SNN-004
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `487.5800569999992` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-05/workflow.json b/research/experiments/EXP-BATCH-20260909223705-05/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..8931845f2c130f5c018b9c13444f20dcbd33dbf9
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-05/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-SNN-004",
+  "research_question": "RQ-SNN-004",
+  "hypothesis": "H-SNN-004-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-06/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-06/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-06/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-06/manifest.json b/research/experiments/EXP-BATCH-20260909223705-06/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..91c49df96308b649df2ab5103031cea660c59d8d
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-06/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-06/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-09T23:08:31.771816+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-06",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-SNN-005-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-SNN-005"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 5000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 4000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 498.5685669999948
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T01:08:31.771811",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-06/report.md b/research/experiments/EXP-BATCH-20260909223705-06/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..0ea8c80f3dd1784f3eb1fb01327a6cf607c99fa3
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-06/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-06: Experiment workflow: exploratory RQ-SNN-005
+
+## Forschungsfrage
+RQ-SNN-005
+
+## Hypothese
+H-SNN-005-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 498.568567 s
+
+## Ergebnis
+Tick: 4000 -> 5000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-06/summary.md b/research/experiments/EXP-BATCH-20260909223705-06/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..7b41f54a2255b3df6686a90777a98b7c21f11214
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-06/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-06: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-SNN-005`
+- Hypothese: `H-SNN-005-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-SNN-005
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `498.5685669999948` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-06/workflow.json b/research/experiments/EXP-BATCH-20260909223705-06/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..46ddd84d40364dba973ecc69c9a3da90e614b7d6
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-06/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-SNN-005",
+  "research_question": "RQ-SNN-005",
+  "hypothesis": "H-SNN-005-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-07/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-07/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-07/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-07/manifest.json b/research/experiments/EXP-BATCH-20260909223705-07/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..93b35f6720a6608d3022fada201130c8a780fb9f
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-07/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-07/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-09T23:16:50.700868+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-07",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-PING-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-PING-001"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 6000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 5000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 497.09675250000146
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T01:16:50.700862",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-07/report.md b/research/experiments/EXP-BATCH-20260909223705-07/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..b870ba70d664126db7ec21e4c40274aed5344d00
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-07/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-07: Experiment workflow: exploratory RQ-PING-001
+
+## Forschungsfrage
+RQ-PING-001
+
+## Hypothese
+H-PING-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 497.096753 s
+
+## Ergebnis
+Tick: 5000 -> 6000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-07/summary.md b/research/experiments/EXP-BATCH-20260909223705-07/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..898d590721585b4a25bb5151fc7ecfae39b5cc5e
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-07/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-07: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-PING-001`
+- Hypothese: `H-PING-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `MISMATCH`
+- Evidence Readiness: `BLOCKED_SEMANTIC_MISMATCH`
+- Begründung: PING erwartet recurrence_off und recurrence_on.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-PING-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `497.09675250000146` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `MISMATCH`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-07/workflow.json b/research/experiments/EXP-BATCH-20260909223705-07/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..daae3f34f41dc0457592222d1fced58a5e3d097b
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-07/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-PING-001",
+  "research_question": "RQ-PING-001",
+  "hypothesis": "H-PING-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-08/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-08/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-08/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-08/manifest.json b/research/experiments/EXP-BATCH-20260909223705-08/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..72cd9edf37af0e07c04361b5ca50ad2ba984ccf6
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-08/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-08/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-09T23:25:08.261208+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-08",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-TEMP-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-TEMP-001"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 7000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 6000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 507.1024305000028
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T01:25:08.261201",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-08/report.md b/research/experiments/EXP-BATCH-20260909223705-08/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..3baec2e5528b0ea635c28061f3d0ea8ea5d08d8d
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-08/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-08: Experiment workflow: exploratory RQ-TEMP-001
+
+## Forschungsfrage
+RQ-TEMP-001
+
+## Hypothese
+H-TEMP-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 507.102431 s
+
+## Ergebnis
+Tick: 6000 -> 7000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-08/summary.md b/research/experiments/EXP-BATCH-20260909223705-08/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..88083d4d6185d60ddbccbe205a5776632bfb270b
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-08/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-08: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-TEMP-001`
+- Hypothese: `H-TEMP-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `MISMATCH`
+- Evidence Readiness: `BLOCKED_SEMANTIC_MISMATCH`
+- Begründung: TEMP erwartet fast_medium_slow mit FAST/MEDIUM/SLOW-Horizonten.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-TEMP-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `507.1024305000028` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `MISMATCH`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-08/workflow.json b/research/experiments/EXP-BATCH-20260909223705-08/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..7fe349ead1042650185b69d0550d8101d10d1218
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-08/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-TEMP-001",
+  "research_question": "RQ-TEMP-001",
+  "hypothesis": "H-TEMP-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-09/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-09/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-09/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-09/manifest.json b/research/experiments/EXP-BATCH-20260909223705-09/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..82090d39ca453e1daa801f21452ff844a447b8d5
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-09/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-09/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-09T23:33:35.781772+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-09",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-TIME-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-TIME-001"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 8000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 7000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 505.0149822999956
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T01:33:35.781766",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-09/report.md b/research/experiments/EXP-BATCH-20260909223705-09/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..b3d8c86f9f224b90e6f203f3d13e549e5c036019
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-09/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-09: Experiment workflow: exploratory RQ-TIME-001
+
+## Forschungsfrage
+RQ-TIME-001
+
+## Hypothese
+H-TIME-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 505.014982 s
+
+## Ergebnis
+Tick: 7000 -> 8000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-09/summary.md b/research/experiments/EXP-BATCH-20260909223705-09/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..4bbcdd674ce1820cdd2ec48b22114ad8e28f6c23
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-09/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-09: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-TIME-001`
+- Hypothese: `H-TIME-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `MISMATCH`
+- Evidence Readiness: `BLOCKED_SEMANTIC_MISMATCH`
+- Begründung: TIME erwartet numerische Tick-Leiter-Bedingungen.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-TIME-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `505.0149822999956` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `MISMATCH`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-09/workflow.json b/research/experiments/EXP-BATCH-20260909223705-09/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..841707f9f01ee9394f7c274db862d7e99332a3be
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-09/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-TIME-001",
+  "research_question": "RQ-TIME-001",
+  "hypothesis": "H-TIME-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-10/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-10/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-10/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-10/manifest.json b/research/experiments/EXP-BATCH-20260909223705-10/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..ad24603fb8a3a22270590f860b60191ffbf726f5
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-10/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-10/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-09T23:42:01.149778+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-10",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-REG-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-REG-001"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 9000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 8000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 513.6403007000044
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T01:42:01.149770",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-10/report.md b/research/experiments/EXP-BATCH-20260909223705-10/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..535d66c1e6ce63dee88f5e8a622b31044c43f0b9
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-10/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-10: Experiment workflow: exploratory RQ-REG-001
+
+## Forschungsfrage
+RQ-REG-001
+
+## Hypothese
+H-REG-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 513.640301 s
+
+## Ergebnis
+Tick: 8000 -> 9000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-10/summary.md b/research/experiments/EXP-BATCH-20260909223705-10/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..b6a1ba573a7bbd5f9ada1a80e70e1224e1f1a5f8
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-10/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-10: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-REG-001`
+- Hypothese: `H-REG-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-REG-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `513.6403007000044` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-10/workflow.json b/research/experiments/EXP-BATCH-20260909223705-10/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..10e8c146d7929542fc5ab1635bfc7a919d471880
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-10/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-REG-001",
+  "research_question": "RQ-REG-001",
+  "hypothesis": "H-REG-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-11/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-11/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-11/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-11/manifest.json b/research/experiments/EXP-BATCH-20260909223705-11/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..0bf7d9e23b977f501fd86af2cc053ac704c8e321
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-11/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-11/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-09T23:50:35.267300+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-11",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-STDP-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-STDP-001"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 10000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 9000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 508.8830897000007
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T01:50:35.267294",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-11/report.md b/research/experiments/EXP-BATCH-20260909223705-11/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..d95aa4eb4626ffade7502f76278c044d23b0a834
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-11/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-11: Experiment workflow: exploratory RQ-STDP-001
+
+## Forschungsfrage
+RQ-STDP-001
+
+## Hypothese
+H-STDP-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 508.883090 s
+
+## Ergebnis
+Tick: 9000 -> 10000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-11/summary.md b/research/experiments/EXP-BATCH-20260909223705-11/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..01e8931b83e2660e63dfc74882cafca836489355
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-11/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-11: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-STDP-001`
+- Hypothese: `H-STDP-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-STDP-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `508.8830897000007` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-11/workflow.json b/research/experiments/EXP-BATCH-20260909223705-11/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..42911417059824badb492925f9eb9639713ad371
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-11/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-STDP-001",
+  "research_question": "RQ-STDP-001",
+  "hypothesis": "H-STDP-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-12/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-12/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-12/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-12/manifest.json b/research/experiments/EXP-BATCH-20260909223705-12/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..64ac5e2cb6f4b6d63feb5d921cf469c1a72cdef8
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-12/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-12/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-09T23:59:04.406686+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-12",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-STDP-002-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-STDP-002"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 11000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 10000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 507.97838890001003
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T01:59:04.406679",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-12/report.md b/research/experiments/EXP-BATCH-20260909223705-12/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..00f16da9681b83e2dcb116d8f4d46a1441f54860
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-12/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-12: Experiment workflow: exploratory RQ-STDP-002
+
+## Forschungsfrage
+RQ-STDP-002
+
+## Hypothese
+H-STDP-002-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 507.978389 s
+
+## Ergebnis
+Tick: 10000 -> 11000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-12/summary.md b/research/experiments/EXP-BATCH-20260909223705-12/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..e5f0721e14ee9f247f9c1d8e8c89d342adc7b0c2
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-12/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-12: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-STDP-002`
+- Hypothese: `H-STDP-002-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-STDP-002
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `507.97838890001003` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-12/workflow.json b/research/experiments/EXP-BATCH-20260909223705-12/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..6299bd28d556e196fdcd2da0404f96acca5616e8
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-12/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-STDP-002",
+  "research_question": "RQ-STDP-002",
+  "hypothesis": "H-STDP-002-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-13/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-13/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-13/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-13/manifest.json b/research/experiments/EXP-BATCH-20260909223705-13/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..a02e113092d5c2556785758760b3dcfb1c7e2be2
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-13/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-13/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T00:07:32.880814+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-13",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-HOM-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-HOM-001"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 12000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 11000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 511.057914399993
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T02:07:32.880806",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-13/report.md b/research/experiments/EXP-BATCH-20260909223705-13/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..4fa16d5df7b128c4f48be9f82bc920eb13f42c7d
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-13/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-13: Experiment workflow: exploratory RQ-HOM-001
+
+## Forschungsfrage
+RQ-HOM-001
+
+## Hypothese
+H-HOM-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 511.057914 s
+
+## Ergebnis
+Tick: 11000 -> 12000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-13/summary.md b/research/experiments/EXP-BATCH-20260909223705-13/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..d642b5fa64859364def8bb55f8a3d1195582f42d
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-13/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-13: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-HOM-001`
+- Hypothese: `H-HOM-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-HOM-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `511.057914399993` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-13/workflow.json b/research/experiments/EXP-BATCH-20260909223705-13/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..8ef102500f3d76b724b0a24858265bf8c7a01b73
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-13/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-HOM-001",
+  "research_question": "RQ-HOM-001",
+  "hypothesis": "H-HOM-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-14/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-14/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-14/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-14/manifest.json b/research/experiments/EXP-BATCH-20260909223705-14/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..2639b0e37c7a71b98f3f03087dda335c47cb9f3b
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-14/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-14/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T00:16:04.440873+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-14",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-HOM-002-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-HOM-002"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 13000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 12000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 508.77711479998834
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T02:16:04.440853",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-14/report.md b/research/experiments/EXP-BATCH-20260909223705-14/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..88d61733bd51569896398936d321773aa969a768
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-14/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-14: Experiment workflow: exploratory RQ-HOM-002
+
+## Forschungsfrage
+RQ-HOM-002
+
+## Hypothese
+H-HOM-002-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 508.777115 s
+
+## Ergebnis
+Tick: 12000 -> 13000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-14/summary.md b/research/experiments/EXP-BATCH-20260909223705-14/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..fae5f315ac15cd85c7598bcf790ac4b9e0658848
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-14/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-14: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-HOM-002`
+- Hypothese: `H-HOM-002-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-HOM-002
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `508.77711479998834` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-14/workflow.json b/research/experiments/EXP-BATCH-20260909223705-14/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..951fb2572bf9cb8dea123d13fa4d7ba490f4cfa0
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-14/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-HOM-002",
+  "research_question": "RQ-HOM-002",
+  "hypothesis": "H-HOM-002-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-15/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-15/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-15/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-15/manifest.json b/research/experiments/EXP-BATCH-20260909223705-15/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..76d4709aa1b0989b970def212129d2d38338b1f3
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-15/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-15/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T00:24:33.707815+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-15",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-5D-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-5D-001"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 14000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 13000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 517.4316528000054
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T02:24:33.707808",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-15/report.md b/research/experiments/EXP-BATCH-20260909223705-15/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..90602596cc546882170bdfbdb379cc1978025105
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-15/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-15: Experiment workflow: exploratory RQ-5D-001
+
+## Forschungsfrage
+RQ-5D-001
+
+## Hypothese
+H-5D-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 517.431653 s
+
+## Ergebnis
+Tick: 13000 -> 14000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-15/summary.md b/research/experiments/EXP-BATCH-20260909223705-15/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..10c2aef58e899c13f90a49b480b5edd8384b2705
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-15/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-15: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-5D-001`
+- Hypothese: `H-5D-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `MISMATCH`
+- Evidence Readiness: `BLOCKED_SEMANTIC_MISMATCH`
+- Begründung: 5D erwartet die registrierten Dimensions-/Topologiebedingungen.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-5D-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `517.4316528000054` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `MISMATCH`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-15/workflow.json b/research/experiments/EXP-BATCH-20260909223705-15/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..0fe1e55193c2369bdbce887ac7a4ef114b5eabf3
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-15/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-5D-001",
+  "research_question": "RQ-5D-001",
+  "hypothesis": "H-5D-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-16/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-16/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-16/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-16/manifest.json b/research/experiments/EXP-BATCH-20260909223705-16/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..d5ac67a74c011f14ae120f012b5fa54d9acc6ff6
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-16/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-16/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T00:33:11.475275+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-16",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-5D-002-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-5D-002"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 15000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 14000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 454.4433679000067
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T02:33:11.475268",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-16/report.md b/research/experiments/EXP-BATCH-20260909223705-16/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..c4cb7f4056e6e2b88f804dc7b47bc04551210f32
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-16/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-16: Experiment workflow: exploratory RQ-5D-002
+
+## Forschungsfrage
+RQ-5D-002
+
+## Hypothese
+H-5D-002-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 454.443368 s
+
+## Ergebnis
+Tick: 14000 -> 15000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-16/summary.md b/research/experiments/EXP-BATCH-20260909223705-16/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..c10e228ac596e8bfbcceed731be495ce8759ab1c
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-16/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-16: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-5D-002`
+- Hypothese: `H-5D-002-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `MISMATCH`
+- Evidence Readiness: `BLOCKED_SEMANTIC_MISMATCH`
+- Begründung: 5D erwartet die registrierten Dimensions-/Topologiebedingungen.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-5D-002
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `454.4433679000067` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `MISMATCH`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-16/workflow.json b/research/experiments/EXP-BATCH-20260909223705-16/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..5191c4d9d7dced23b65329bf34b5783a0faf7998
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-16/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-5D-002",
+  "research_question": "RQ-5D-002",
+  "hypothesis": "H-5D-002-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-17/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-17/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-17/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-17/manifest.json b/research/experiments/EXP-BATCH-20260909223705-17/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..15a863fa2d66cd84f26130a24e52d261302dad24
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-17/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-17/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T00:40:46.163273+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-17",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-5D-003-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-5D-003"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 16000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 15000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 167.38218760000018
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T02:40:46.163267",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-17/report.md b/research/experiments/EXP-BATCH-20260909223705-17/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..c24807cde33dd4b185f7113e22a360cae928786f
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-17/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-17: Experiment workflow: exploratory RQ-5D-003
+
+## Forschungsfrage
+RQ-5D-003
+
+## Hypothese
+H-5D-003-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 167.382188 s
+
+## Ergebnis
+Tick: 15000 -> 16000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-17/summary.md b/research/experiments/EXP-BATCH-20260909223705-17/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..e39f074314f2a0a322d212fd9ce1fdfa07313f3e
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-17/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-17: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-5D-003`
+- Hypothese: `H-5D-003-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `MISMATCH`
+- Evidence Readiness: `BLOCKED_SEMANTIC_MISMATCH`
+- Begründung: 5D erwartet die registrierten Dimensions-/Topologiebedingungen.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-5D-003
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `167.38218760000018` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `MISMATCH`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-17/workflow.json b/research/experiments/EXP-BATCH-20260909223705-17/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..da076f6be21da6505b0dfaa409114015614985fa
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-17/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-5D-003",
+  "research_question": "RQ-5D-003",
+  "hypothesis": "H-5D-003-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-18/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-18/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-18/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-18/manifest.json b/research/experiments/EXP-BATCH-20260909223705-18/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..28ba4f908a1b0f177c6ea020b7e71a0b37bc6d17
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-18/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-18/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T00:43:33.878417+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-18",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-5D-004-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-5D-004"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 17000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 16000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 166.6271698999917
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T02:43:33.878408",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-18/report.md b/research/experiments/EXP-BATCH-20260909223705-18/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..c15fb1fb1cc6cdea9cba132de1b0cb7613d739e6
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-18/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-18: Experiment workflow: exploratory RQ-5D-004
+
+## Forschungsfrage
+RQ-5D-004
+
+## Hypothese
+H-5D-004-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 166.627170 s
+
+## Ergebnis
+Tick: 16000 -> 17000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-18/summary.md b/research/experiments/EXP-BATCH-20260909223705-18/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..64ddec8fb94db12d477ce4d049256c7ae4473eb1
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-18/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-18: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-5D-004`
+- Hypothese: `H-5D-004-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `MISMATCH`
+- Evidence Readiness: `BLOCKED_SEMANTIC_MISMATCH`
+- Begründung: 5D erwartet die registrierten Dimensions-/Topologiebedingungen.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-5D-004
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `166.6271698999917` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `MISMATCH`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-18/workflow.json b/research/experiments/EXP-BATCH-20260909223705-18/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..7f2ae937b70f98e15d651e45007677246189e19c
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-18/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-5D-004",
+  "research_question": "RQ-5D-004",
+  "hypothesis": "H-5D-004-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-19/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-19/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-19/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-19/manifest.json b/research/experiments/EXP-BATCH-20260909223705-19/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..088f780561475cef2d497d677cae9532b3fe1d9b
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-19/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-19/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T00:46:20.777731+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-19",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-STOR-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-STORAGE-001"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 18000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 17000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 160.7564691000007
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T02:46:20.777724",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-19/report.md b/research/experiments/EXP-BATCH-20260909223705-19/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..f03f8fb5abf3d9faf8edb5ef0e3e31a0821b7385
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-19/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-19: Experiment workflow: exploratory RQ-STORAGE-001
+
+## Forschungsfrage
+RQ-STORAGE-001
+
+## Hypothese
+H-STOR-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 160.756469 s
+
+## Ergebnis
+Tick: 17000 -> 18000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-19/summary.md b/research/experiments/EXP-BATCH-20260909223705-19/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..3b1334e35e1e00541a37f71113e3388783d48814
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-19/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-19: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-STORAGE-001`
+- Hypothese: `H-STOR-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-STORAGE-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `160.7564691000007` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-19/workflow.json b/research/experiments/EXP-BATCH-20260909223705-19/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..e3d50974268070cdbf646f1380cc1de1930919de
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-19/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-STORAGE-001",
+  "research_question": "RQ-STORAGE-001",
+  "hypothesis": "H-STOR-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-20/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-20/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-20/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-20/manifest.json b/research/experiments/EXP-BATCH-20260909223705-20/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..5c0ae7f93662cb86d763fe55ac61437296d4129e
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-20/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-20/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T00:49:02.116531+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-20",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-STOR-002-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-STORAGE-002"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 19000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 18000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 159.03122579999035
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T02:49:02.116524",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-20/report.md b/research/experiments/EXP-BATCH-20260909223705-20/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..e92e126cf894395edd300fd5748bf73f43e60d6b
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-20/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-20: Experiment workflow: exploratory RQ-STORAGE-002
+
+## Forschungsfrage
+RQ-STORAGE-002
+
+## Hypothese
+H-STOR-002-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 159.031226 s
+
+## Ergebnis
+Tick: 18000 -> 19000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-20/summary.md b/research/experiments/EXP-BATCH-20260909223705-20/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..dd59620840788fe8e5151fe6ad3c32da8e509193
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-20/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-20: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-STORAGE-002`
+- Hypothese: `H-STOR-002-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-STORAGE-002
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `159.03122579999035` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-20/workflow.json b/research/experiments/EXP-BATCH-20260909223705-20/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..5cd76a998525821c2daef5c1a03b9febb044e267
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-20/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-STORAGE-002",
+  "research_question": "RQ-STORAGE-002",
+  "hypothesis": "H-STOR-002-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-21/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-21/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-21/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-21/manifest.json b/research/experiments/EXP-BATCH-20260909223705-21/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..c3e1b96eb55e11212f55b44a6ff2c534ab64e736
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-21/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-21/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T00:51:41.402374+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-21",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-STOR-003-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-STORAGE-003"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 20000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 19000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 157.52361879999808
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T02:51:41.402367",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-21/report.md b/research/experiments/EXP-BATCH-20260909223705-21/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..69149a8da827b44cc59ad69c0e2c6b4bfe7a4e77
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-21/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-21: Experiment workflow: exploratory RQ-STORAGE-003
+
+## Forschungsfrage
+RQ-STORAGE-003
+
+## Hypothese
+H-STOR-003-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 157.523619 s
+
+## Ergebnis
+Tick: 19000 -> 20000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-21/summary.md b/research/experiments/EXP-BATCH-20260909223705-21/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..3f2d3295c66385d0bef135c24140990b4aa179be
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-21/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-21: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-STORAGE-003`
+- Hypothese: `H-STOR-003-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-STORAGE-003
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `157.52361879999808` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-21/workflow.json b/research/experiments/EXP-BATCH-20260909223705-21/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..570fa8c3a80266e4aee20a69902d8829ac24c12d
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-21/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-STORAGE-003",
+  "research_question": "RQ-STORAGE-003",
+  "hypothesis": "H-STOR-003-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-22/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-22/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-22/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-22/manifest.json b/research/experiments/EXP-BATCH-20260909223705-22/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..e224f2a7a2d5627b1c408e53041db35aef38831c
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-22/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-22/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T00:54:19.173404+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-22",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-STOR-004-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-STORAGE-004"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 21000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 20000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 157.73753769999894
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T02:54:19.173397",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-22/report.md b/research/experiments/EXP-BATCH-20260909223705-22/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..bde70a45b723256e7ec53d4f3a0747802e6698bd
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-22/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-22: Experiment workflow: exploratory RQ-STORAGE-004
+
+## Forschungsfrage
+RQ-STORAGE-004
+
+## Hypothese
+H-STOR-004-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 157.737538 s
+
+## Ergebnis
+Tick: 20000 -> 21000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-22/summary.md b/research/experiments/EXP-BATCH-20260909223705-22/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..436eca523c62aa532c1a3cb4136fe8af76ed450c
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-22/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-22: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-STORAGE-004`
+- Hypothese: `H-STOR-004-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-STORAGE-004
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `157.73753769999894` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-22/workflow.json b/research/experiments/EXP-BATCH-20260909223705-22/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..58424eaecdf6b1960d66bf0644b2d09263146bfd
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-22/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-STORAGE-004",
+  "research_question": "RQ-STORAGE-004",
+  "hypothesis": "H-STOR-004-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-23/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-23/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-23/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-23/manifest.json b/research/experiments/EXP-BATCH-20260909223705-23/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..04e11cd3b6127e40841b20c21d77441242990cc3
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-23/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-23/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T00:56:57.162859+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-23",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-SCALE-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-SCALE-001"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 22000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 21000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 157.4790747000079
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T02:56:57.162853",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-23/report.md b/research/experiments/EXP-BATCH-20260909223705-23/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..b239314db7918ea1b11a242b586120b8ce1f1a90
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-23/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-23: Experiment workflow: exploratory RQ-SCALE-001
+
+## Forschungsfrage
+RQ-SCALE-001
+
+## Hypothese
+H-SCALE-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 157.479075 s
+
+## Ergebnis
+Tick: 21000 -> 22000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-23/summary.md b/research/experiments/EXP-BATCH-20260909223705-23/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..f66193c9cd71e4146cc55d713cbed9fdbf9b11c6
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-23/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-23: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-SCALE-001`
+- Hypothese: `H-SCALE-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-SCALE-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `157.4790747000079` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-23/workflow.json b/research/experiments/EXP-BATCH-20260909223705-23/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..584bb5dcc9b12a2e94b42d310da1fbdf2b288a3d
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-23/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-SCALE-001",
+  "research_question": "RQ-SCALE-001",
+  "hypothesis": "H-SCALE-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-24/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-24/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-24/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-24/manifest.json b/research/experiments/EXP-BATCH-20260909223705-24/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..46897cc610859814e52ca0196be4f996c1c2baa5
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-24/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-24/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T00:59:34.907283+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-24",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-SELF-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-SELF-001"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 23000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 22000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 156.94414490000054
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T02:59:34.907275",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-24/report.md b/research/experiments/EXP-BATCH-20260909223705-24/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..60c374e3eb8ffcd8df2f46dc2fa0790f63ecbfe2
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-24/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-24: Experiment workflow: exploratory RQ-SELF-001
+
+## Forschungsfrage
+RQ-SELF-001
+
+## Hypothese
+H-SELF-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 156.944145 s
+
+## Ergebnis
+Tick: 22000 -> 23000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-24/summary.md b/research/experiments/EXP-BATCH-20260909223705-24/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..75b8f9c27bde9542b4c65bbf1aaa63e642a330c1
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-24/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-24: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-SELF-001`
+- Hypothese: `H-SELF-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-SELF-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `156.94414490000054` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-24/workflow.json b/research/experiments/EXP-BATCH-20260909223705-24/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..5dd6de2e1e647a94ca6d03e303b74dd72d6eac7b
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-24/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-SELF-001",
+  "research_question": "RQ-SELF-001",
+  "hypothesis": "H-SELF-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-25/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-25/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-25/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-25/manifest.json b/research/experiments/EXP-BATCH-20260909223705-25/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..926ef9d784b8779b31e446fada5d8e58068b30c2
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-25/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-25/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T01:02:12.127843+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-25",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-SELF-002-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-SELF-002"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 24000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 23000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 155.23711750000075
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T03:02:12.127833",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-25/report.md b/research/experiments/EXP-BATCH-20260909223705-25/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..2afed14978f727df2463a78386122bf3daf76054
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-25/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-25: Experiment workflow: exploratory RQ-SELF-002
+
+## Forschungsfrage
+RQ-SELF-002
+
+## Hypothese
+H-SELF-002-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 155.237118 s
+
+## Ergebnis
+Tick: 23000 -> 24000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-25/summary.md b/research/experiments/EXP-BATCH-20260909223705-25/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..5ac5a6962af3e1b04cb741375b6b56e0c94f42f5
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-25/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-25: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-SELF-002`
+- Hypothese: `H-SELF-002-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-SELF-002
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `155.23711750000075` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-25/workflow.json b/research/experiments/EXP-BATCH-20260909223705-25/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..0c5e94181a414b8b023efe6a328dde2796418ab5
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-25/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-SELF-002",
+  "research_question": "RQ-SELF-002",
+  "hypothesis": "H-SELF-002-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-26/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-26/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-26/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-26/manifest.json b/research/experiments/EXP-BATCH-20260909223705-26/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..23b65fedf7eb71279e2dbbdf345c9fabd5f2becd
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-26/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-26/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T01:04:47.634232+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-26",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-STRUCT-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-STRUCT-001"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 25000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 24000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 151.40121910000744
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T03:04:47.634225",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-26/report.md b/research/experiments/EXP-BATCH-20260909223705-26/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..86bdda47b8f07202030accbc8eb89ff0b2deabed
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-26/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-26: Experiment workflow: exploratory RQ-STRUCT-001
+
+## Forschungsfrage
+RQ-STRUCT-001
+
+## Hypothese
+H-STRUCT-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 151.401219 s
+
+## Ergebnis
+Tick: 24000 -> 25000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-26/summary.md b/research/experiments/EXP-BATCH-20260909223705-26/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..ba74b3ffb0e4d3c99ffa8af3265eeeba2ed5a159
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-26/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-26: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-STRUCT-001`
+- Hypothese: `H-STRUCT-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-STRUCT-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `151.40121910000744` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-26/workflow.json b/research/experiments/EXP-BATCH-20260909223705-26/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..97b28cdc73aece1408cdbdb8455065fee96732c9
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-26/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-STRUCT-001",
+  "research_question": "RQ-STRUCT-001",
+  "hypothesis": "H-STRUCT-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-27/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-27/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-27/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-27/manifest.json b/research/experiments/EXP-BATCH-20260909223705-27/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..40f69f073718bad7e92e94ceea4dbc167f02030d
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-27/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-27/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T01:07:19.311164+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-27",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-MEM-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-MEM-001"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 26000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 25000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 151.79776070000662
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T03:07:19.311155",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-27/report.md b/research/experiments/EXP-BATCH-20260909223705-27/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..f68abac56a35ca332a51fd7e0b29bcf37a4c1a85
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-27/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-27: Experiment workflow: exploratory RQ-MEM-001
+
+## Forschungsfrage
+RQ-MEM-001
+
+## Hypothese
+H-MEM-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 151.797761 s
+
+## Ergebnis
+Tick: 25000 -> 26000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-27/summary.md b/research/experiments/EXP-BATCH-20260909223705-27/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..d41a4cf4e9e1ea8c319a64d688532e080c60f015
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-27/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-27: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-MEM-001`
+- Hypothese: `H-MEM-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-MEM-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `151.79776070000662` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-27/workflow.json b/research/experiments/EXP-BATCH-20260909223705-27/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..a099031e855e11255d88ad17d5eecf1ee7044d34
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-27/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-MEM-001",
+  "research_question": "RQ-MEM-001",
+  "hypothesis": "H-MEM-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-28/DATA/current_run.json b/research/experiments/EXP-BATCH-20260909223705-28/DATA/current_run.json
new file mode 100644
index 0000000000000000000000000000000000000000..0f70752862c0aaefc3bcb767053737457828b0ad
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-28/DATA/current_run.json
@@ -0,0 +1,11 @@
+{
+  "last_archived_run": 8,
+  "raw_artifact": {
+    "format": "json.gz",
+    "path": "DATA/raw/run-0008-feedback_absent-seed-103.json.gz",
+    "sha256": "b3ead47a35a698869c85c6b7c839a508129ae51c0816124fba4997be72fd189e",
+    "size_bytes": 36585,
+    "uncompressed_bytes": 255949
+  },
+  "status": "idle"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-28/DATA/gateway_state.json b/research/experiments/EXP-BATCH-20260909223705-28/DATA/gateway_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..b763ff1f2575876e1b2ac9cc598ada31fd094e35
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-28/DATA/gateway_state.json
@@ -0,0 +1,539 @@
+{
+  "canonical_snn_state": false,
+  "kind": "synthetic_joint_boundary",
+  "resume_supported": false,
+  "runs": [
+    {
+      "after": {
+        "body": {
+          "contact_count": 0,
+          "elapsed_s": 1.0000000000000007,
+          "modelled_absolute_work_j": 0.004715948645326781,
+          "omega_rad_s": 0.7776678733365624,
+          "parameters": {
+            "damping_nm_s": 0.002,
+            "inertia_kg_m2": 5e-05,
+            "lower_rad": -0.75,
+            "torque_limit_nm": 0.015,
+            "upper_rad": 0.75
+          },
+          "q_rad": -0.2571579501489215,
+          "saturation_count": 18
+        },
+        "filtered_motor": 0.26813978335705974,
+        "neural_digest": "f8fd11391391affa49a40baf92c8dfdafed85bf75a53e1e26ac21257ea25617b",
+        "pending_steps": 0,
+        "sensor": [
+          -0.25793561802225806,
+          0.7653807374994092
+        ],
+        "ticks": 1000
+      },
+      "before": {
+        "body": {
+          "contact_count": 0,
+          "elapsed_s": 0.0,
+          "modelled_absolute_work_j": 0.0,
+          "omega_rad_s": 0.0,
+          "parameters": {
+            "damping_nm_s": 0.002,
+            "inertia_kg_m2": 5e-05,
+            "lower_rad": -0.75,
+            "torque_limit_nm": 0.015,
+            "upper_rad": 0.75
+          },
+          "q_rad": 0.008115213250456464,
+          "saturation_count": 0
+        },
+        "filtered_motor": 0.0
+      },
+      "boundary_contract": {
+        "UI_dependency": "none",
+        "decoder_decay": 0.95,
+        "decoder_nm_per_unit": 0.008,
+        "input_gain": 70.0,
+        "learning": "disabled",
+        "tonic_current": 2.0,
+        "velocity_gain": 1.5,
+        "version": "joint-v1"
+      },
+      "condition": "closed_loop",
+      "neural_digest_after": "f8fd11391391affa49a40baf92c8dfdafed85bf75a53e1e26ac21257ea25617b",
+      "neural_digest_before": "698fb31486b5cc429d46042f61e634d60146db77f698bbb1ecc4cbfdadc487f6",
+      "seed": 101
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diff --git a/research/experiments/EXP-BATCH-20260909223705-28/DATA/runs_index.json b/research/experiments/EXP-BATCH-20260909223705-28/DATA/runs_index.json
new file mode 100644
index 0000000000000000000000000000000000000000..3e2b56d253c803e1689aa453fd0e6b6d4d670652
--- /dev/null
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diff --git a/research/experiments/EXP-BATCH-20260909223705-28/analysis/AIAR-critical_reviewer-20260910011152174184-b4020ad8.json b/research/experiments/EXP-BATCH-20260909223705-28/analysis/AIAR-critical_reviewer-20260910011152174184-b4020ad8.json
new file mode 100644
index 0000000000000000000000000000000000000000..eb83657001e12d36492efc5f1cfe32fd36d34330
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-28/analysis/AIAR-critical_reviewer-20260910011152174184-b4020ad8.json
@@ -0,0 +1,56 @@
+{
+  "analysis_id": "AIAR-critical_reviewer-20260910011152174184-b4020ad8",
+  "role": "critical_reviewer",
+  "model": {
+    "provider": "system-fallback",
+    "model_name": "unavailable",
+    "model_digest": "not_applicable",
+    "quantization": "unknown",
+    "context_length": "unknown",
+    "temperature": 0.0,
+    "top_p": 1.0,
+    "seed": "not_reported",
+    "backend_version": "unknown"
+  },
+  "inputs": {
+    "experiment_id": "EXP-BATCH-20260909223705-28",
+    "packet_digest": "b4020ad8d9cebc3d51fa0959a0bc0aa938bfd93080522fefd43ab3aec4e2d244"
+  },
+  "output": {
+    "assessment": "Die Rolle critical_reviewer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+    "observations": [],
+    "effect_direction": "not_determined",
+    "methodological_concerns": [
+      "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+      "Technical reason: TimeoutError: timed out"
+    ],
+    "alternative_explanations": [],
+    "recommended_experiments": [],
+    "requested_evidence": [
+      "Run the role again with a schema-conforming backend response.",
+      "Complete mandatory human review before interpreting this report."
+    ],
+    "confidence": 0.0,
+    "analysis_unavailable": true
+  },
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+    "model_self_confidence": "0.0"
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+  "epistemic_status": {
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diff --git a/research/experiments/EXP-BATCH-20260909223705-28/analysis/AIAR-scientific_analyst-20260910011052145699-b4020ad8.json b/research/experiments/EXP-BATCH-20260909223705-28/analysis/AIAR-scientific_analyst-20260910011052145699-b4020ad8.json
new file mode 100644
index 0000000000000000000000000000000000000000..bc5be5e293a9f0d45581bc61dc401f0eb0e89e98
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-28/analysis/AIAR-scientific_analyst-20260910011052145699-b4020ad8.json
@@ -0,0 +1,56 @@
+{
+  "analysis_id": "AIAR-scientific_analyst-20260910011052145699-b4020ad8",
+  "role": "scientific_analyst",
+  "model": {
+    "provider": "system-fallback",
+    "model_name": "unavailable",
+    "model_digest": "not_applicable",
+    "quantization": "unknown",
+    "context_length": "unknown",
+    "temperature": 0.0,
+    "top_p": 1.0,
+    "seed": "not_reported",
+    "backend_version": "unknown"
+  },
+  "inputs": {
+    "experiment_id": "EXP-BATCH-20260909223705-28",
+    "packet_digest": "b4020ad8d9cebc3d51fa0959a0bc0aa938bfd93080522fefd43ab3aec4e2d244"
+  },
+  "output": {
+    "assessment": "Die Rolle scientific_analyst konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+    "observations": [],
+    "effect_direction": "not_determined",
+    "methodological_concerns": [
+      "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+      "Technical reason: TimeoutError: timed out"
+    ],
+    "alternative_explanations": [],
+    "recommended_experiments": [],
+    "requested_evidence": [
+      "Run the role again with a schema-conforming backend response.",
+      "Complete mandatory human review before interpreting this report."
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+  "provenance": {
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+    "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "model_self_confidence": "0.0"
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new file mode 100644
index 0000000000000000000000000000000000000000..4705283f09ca703eecfa163c800cff5697a4aae6
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-28/analysis/AIAR-scientific_writer-20260910011252208116-b4020ad8.json
@@ -0,0 +1,56 @@
+{
+  "analysis_id": "AIAR-scientific_writer-20260910011252208116-b4020ad8",
+  "role": "scientific_writer",
+  "model": {
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+    "model_name": "unavailable",
+    "model_digest": "not_applicable",
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+    "top_p": 1.0,
+    "seed": "not_reported",
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+    "experiment_id": "EXP-BATCH-20260909223705-28",
+    "packet_digest": "b4020ad8d9cebc3d51fa0959a0bc0aa938bfd93080522fefd43ab3aec4e2d244"
+  },
+  "output": {
+    "assessment": "Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+    "observations": [],
+    "effect_direction": "not_determined",
+    "methodological_concerns": [
+      "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+      "Technical reason: TimeoutError: timed out"
+    ],
+    "alternative_explanations": [],
+    "recommended_experiments": [],
+    "requested_evidence": [
+      "Run the role again with a schema-conforming backend response.",
+      "Complete mandatory human review before interpreting this report."
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+    "assistant_schema_version": "1.2",
+    "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "model_self_confidence": "0.0"
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+  "generated_at": "2026-09-10T01:12:52.208116+00:00"
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+++ b/research/experiments/EXP-BATCH-20260909223705-28/report.md
@@ -0,0 +1,35 @@
+# EXP-BATCH-20260909223705-28: Experiment workflow: embodied_closed_loop_v1
+
+## Forschungszuordnung
+Forschungsfrage: `RQ-EMB-001`
+Hypothese: `H-EMB-001-B`
+Aufgeloester Runner: `run_embodied_closed_loop`
+
+## Protokoll und Einstellungen
+Protokoll: `embodied_closed_loop_v1`
+Angeforderte Mindest-Ticks: `1000`
+Seeds: `101, 102, 103`
+Tick-Vertrag: `{"mode": "minimum_per_run", "observed_max": 1000, "observed_min": 1000, "requested_ticks": 1000, "status": "SATISFIED"}`
+
+## Bedingungen
+Registered protocol conditions
+Runs: 9; Dauer: 0.304555 s
+
+## Daten und Statistik
+Kompakte Run-Projektion: `DATA/runs.json`
+Unveränderlicher Rohdatenindex: `DATA/runs_index.json`
+KI-Eingabepaket: `analysis/ai_packet.json` (hart begrenzt)
+Deterministische deskriptive Statistik: `analysis/statistics.json`
+Die Summary verbindet Rohdaten, Formeln, Einzelruns, Bedingungen, Reproduzierbarkeit und AIRR ohne KI-generierte Statistik.
+
+## Epistemische Ebenen
+UI-Zustand: Dashboard-Steuerung und Fortschritt; kein wissenschaftliches Ergebnis.
+DATA: Rohdaten, Run-Index und deterministische Statistik.
+EVID: nicht erzeugt; Clean Freeze, semantische Zuordnung und Human Review erforderlich.
+Interpretation: nachgelagerte KI-/Human-Interpretation; keine Ausfuehrungseingabe.
+
+## Evidenzstatus
+DATA, Manifest, Workflow und deterministische Statistik sind erzeugt. Wissenschaftliche EVID entsteht erst nach passender semantischer Zuordnung, Clean Freeze und Human Review.
+
+## Hinweise
+Keine.
diff --git a/research/experiments/EXP-BATCH-20260909223705-28/reports/AIRR-2026-0001.json b/research/experiments/EXP-BATCH-20260909223705-28/reports/AIRR-2026-0001.json
new file mode 100644
index 0000000000000000000000000000000000000000..9f4946e49a4caae0977f5d01c5e7eca6387de0a9
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-28/reports/AIRR-2026-0001.json
@@ -0,0 +1,6635 @@
+{
+  "report_id": "AIRR-2026-0001",
+  "experiment_id": "EXP-BATCH-20260909223705-28",
+  "research_question_id": "RQ-EMB-001",
+  "hypothesis_ids": [],
+  "claim_ids": [],
+  "generated_at": "2026-09-10T01:12:52.221346+00:00",
+  "report_schema_version": "1.0",
+  "report_protocol_version": "PROTOCOL-AIRR-001",
+  "generated_by": "artificial_intelligence",
+  "ai_generated": true,
+  "scientific_evidence": false,
+  "human_review_required": true,
+  "status": "review_pending",
+  "content": {
+    "identification": {
+      "experiment": "EXP-BATCH-20260909223705-28",
+      "research_question": "Kann Brain-5D in einer Sensor-Aktor-Schleife (Embodiment) sinnvoll agieren?",
+      "hypotheses": [],
+      "date": "2026-09-10",
+      "source_sha": "8184fc74654169e4d01552f093dd807f065c34e3"
+    },
+    "executive_summary": "Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+    "research_question": {
+      "id": "RQ-EMB-001",
+      "domain": "Embodiment",
+      "question": "Kann Brain-5D in einer Sensor-Aktor-Schleife (Embodiment) sinnvoll agieren?",
+      "relevance": "Embodiment erweitert Brain-5D von einer reinen Simulation zu einem interaktiven System.",
+      "literature": [],
+      "hypotheses": [
+        "H-EMB-001-B",
+        "H-EMB-001-A"
+      ],
+      "evidence": [],
+      "status": "open",
+      "answer": {
+        "current": null,
+        "confidence": "none",
+        "limitations": null
+      },
+      "created": "2026-08-23",
+      "updated": "2026-08-23"
+    },
+    "experimental_design": {
+      "experiment_id": "EXP-BATCH-20260909223705-28",
+      "research_question": "RQ-EMB-001",
+      "hypothesis": "H-EMB-001-B",
+      "title": "Experiment workflow: embodied_closed_loop_v1",
+      "conditions": "Registered protocol conditions",
+      "ticks": 1000,
+      "ticks_contract": "minimum requested observation window",
+      "seeds": [
+        101,
+        102,
+        103
+      ],
+      "protocol": "embodied_closed_loop_v1",
+      "resolved_runner": "run_embodied_closed_loop",
+      "tick_validation": {
+        "status": "SATISFIED",
+        "mode": "minimum_per_run",
+        "requested_ticks": 1000,
+        "observed_min": 1000,
+        "observed_max": 1000
+      },
+      "notes": "",
+      "execution": "registered experiment_suite runner",
+      "assistant_policy": "AI is post-hoc interpretation only.",
+      "epistemic_layers": {
+        "ui_state": "operator/dashboard progress only; not a scientific result",
+        "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+        "evid": "not_created; requires semantic validation, clean freeze and human review",
+        "interpretation": "post-hoc AI or human interpretation; never execution input"
+      }
+    },
+    "data_basis": {
+      "data": {
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+              "trace_sha256": "2297f675a173664d411780bbccc40bd183192f12bfd002a5196570db6fb39b93",
+              "tracking_rmse_rad": 0.4793199488956435,
+              "units": {
+                "angles": "rad",
+                "angular_velocity": "rad/s",
+                "modelled_work": "J",
+                "torque": "N m"
+              }
+            },
+            "runtime_error": null,
+            "seed": 103,
+            "state_digest_after": "515ebf38973e4b537b408b338d6fc629dfd2abd9f2ce77011004a72aac7ebbc9",
+            "state_digest_before": "a5cf88ee525e75cb59ba6bee596519e3f1b1faa526f3cc6538ad7b2491953a8c"
+          }
+        ],
+        "schema_version": "2.0",
+        "statistics": {
+          "conditions": {
+            "closed_loop": {
+              "metrics": {
+                "ticks_executed": {
+                  "max": 1000.0,
+                  "mean": 1000.0,
+                  "median": 1000.0,
+                  "min": 1000.0,
+                  "n": 3,
+                  "std": 0.0
+                },
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+                  "mean": 51.0,
+                  "median": 51.0,
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+                  "std": 2.449489742783178
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+              },
+              "run_count": 3,
+              "seeds": [
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+                102,
+                103
+              ]
+            },
+            "feedback_absent": {
+              "metrics": {
+                "ticks_executed": {
+                  "max": 1000.0,
+                  "mean": 1000.0,
+                  "median": 1000.0,
+                  "min": 1000.0,
+                  "n": 3,
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+                "total_spikes": {
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+                  "mean": 120.0,
+                  "median": 120.0,
+                  "min": 120.0,
+                  "n": 3,
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+                }
+              },
+              "run_count": 3,
+              "seeds": [
+                101,
+                102,
+                103
+              ]
+            },
+            "yoked_replay": {
+              "metrics": {
+                "ticks_executed": {
+                  "max": 1000.0,
+                  "mean": 1000.0,
+                  "median": 1000.0,
+                  "min": 1000.0,
+                  "n": 3,
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+              },
+              "run_count": 3,
+              "seeds": [
+                101,
+                102,
+                103
+              ]
+            }
+          },
+          "formulas": {
+            "difference": "Delta_x = mean(x_B) - mean(x_A)",
+            "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+            "mean": "mean(x) = (1/n) * sum_i x_i",
+            "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+            "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+          },
+          "generated_by": "deterministic_statistics_engine",
+          "run_count": 9,
+          "schema_version": "2.0"
+        }
+      },
+      "evid": [],
+      "literature": []
+    },
+    "quantitative_results": {
+      "conditions": {
+        "closed_loop": {
+          "metrics": {
+            "ticks_executed": {
+              "max": 1000.0,
+              "mean": 1000.0,
+              "median": 1000.0,
+              "min": 1000.0,
+              "n": 3,
+              "std": 0.0
+            },
+            "total_spikes": {
+              "max": 54.0,
+              "mean": 51.0,
+              "median": 51.0,
+              "min": 48.0,
+              "n": 3,
+              "std": 2.449489742783178
+            }
+          },
+          "run_count": 3,
+          "seeds": [
+            101,
+            102,
+            103
+          ]
+        },
+        "feedback_absent": {
+          "metrics": {
+            "ticks_executed": {
+              "max": 1000.0,
+              "mean": 1000.0,
+              "median": 1000.0,
+              "min": 1000.0,
+              "n": 3,
+              "std": 0.0
+            },
+            "total_spikes": {
+              "max": 120.0,
+              "mean": 120.0,
+              "median": 120.0,
+              "min": 120.0,
+              "n": 3,
+              "std": 0.0
+            }
+          },
+          "run_count": 3,
+          "seeds": [
+            101,
+            102,
+            103
+          ]
+        },
+        "yoked_replay": {
+          "metrics": {
+            "ticks_executed": {
+              "max": 1000.0,
+              "mean": 1000.0,
+              "median": 1000.0,
+              "min": 1000.0,
+              "n": 3,
+              "std": 0.0
+            },
+            "total_spikes": {
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+              "mean": 45.0,
+              "median": 45.0,
+              "min": 42.0,
+              "n": 3,
+              "std": 2.449489742783178
+            }
+          },
+          "run_count": 3,
+          "seeds": [
+            101,
+            102,
+            103
+          ]
+        }
+      },
+      "formulas": {
+        "difference": "Delta_x = mean(x_B) - mean(x_A)",
+        "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+        "mean": "mean(x) = (1/n) * sum_i x_i",
+        "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+        "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+      },
+      "generated_by": "deterministic_statistics_engine",
+      "run_count": 9,
+      "schema_version": "2.0"
+    },
+    "observations": [],
+    "interpretation": {
+      "assessment": "Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+      "observations": [],
+      "effect_direction": "not_determined",
+      "methodological_concerns": [
+        "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+        "Technical reason: TimeoutError: timed out"
+      ],
+      "alternative_explanations": [],
+      "recommended_experiments": [],
+      "requested_evidence": [
+        "Run the role again with a schema-conforming backend response.",
+        "Complete mandatory human review before interpreting this report."
+      ],
+      "confidence": 0.0,
+      "analysis_unavailable": true
+    },
+    "methodological_critique": [
+      "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+      "Technical reason: TimeoutError: timed out"
+    ],
+    "alternative_explanations": [],
+    "reproducibility": {
+      "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+      "experiment_status": "completed",
+      "evidence_mode": "not_reported",
+      "git_dirty": "True",
+      "source_freeze_sha": "43b44fa451a85501665a78db4fe2ec7f20262519733444cd60351f2a3084b2f6",
+      "configuration_path": "F:\\Brain-5D\\configs\\learning_experiment.yaml",
+      "configuration_sha256": "6f6cd457caf6216c286fee47ef03b529a0b496ed2dd53ee96b85d3b51e7b3a1c",
+      "experiment_manifest_digest": "9b88c3fabe4b52f01bc56880828dc522aa560f54c4fb1c9816bd61bf7c12e10d",
+      "data_ids": "NOT_AVAILABLE",
+      "evid_ids": "NOT_AVAILABLE",
+      "protocol_id": "NOT_AVAILABLE",
+      "protocol_digest": "e733a00884292e05f7f2dfe6d7ace05b4a163b45a15a1e49a0ef1f0f97f1e653",
+      "data_digest": "26628d3433b132546620f0911a3065e2babbfb0cab66f7ad8cbe7377a537530e",
+      "evid_digests": "[]"
+    },
+    "epistemic_status": {
+      "implementation": "NOT_DETERMINED",
+      "experiment_data": "PRESENT",
+      "registered_evidence": "ABSENT",
+      "ai_interpretation": "PRESENT",
+      "human_review": "PENDING",
+      "claim_support": "NOT_DETERMINED",
+      "rq_status": "IN_PROGRESS"
+    },
+    "ai_confidence": 0.0,
+    "missing_evidence": [
+      "Run the role again with a schema-conforming backend response.",
+      "Complete mandatory human review before interpreting this report."
+    ],
+    "recommended_follow_up": [],
+    "conclusion": "Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+    "human_review": {
+      "status": "PENDING",
+      "reviewer": null,
+      "reviewed_at": null,
+      "disposition": null,
+      "comments": null
+    },
+    "aiar": {
+      "analyst": {
+        "analysis_id": "AIAR-scientific_analyst-20260910011052145699-b4020ad8",
+        "role": "scientific_analyst",
+        "model": {
+          "provider": "system-fallback",
+          "model_name": "unavailable",
+          "model_digest": "not_applicable",
+          "quantization": "unknown",
+          "context_length": "unknown",
+          "temperature": 0.0,
+          "top_p": 1.0,
+          "seed": "not_reported",
+          "backend_version": "unknown"
+        },
+        "inputs": {
+          "experiment_id": "EXP-BATCH-20260909223705-28",
+          "packet_digest": "b4020ad8d9cebc3d51fa0959a0bc0aa938bfd93080522fefd43ab3aec4e2d244"
+        },
+        "output": {
+          "assessment": "Die Rolle scientific_analyst konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+          "observations": [],
+          "effect_direction": "not_determined",
+          "methodological_concerns": [
+            "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+            "Technical reason: TimeoutError: timed out"
+          ],
+          "alternative_explanations": [],
+          "recommended_experiments": [],
+          "requested_evidence": [
+            "Run the role again with a schema-conforming backend response.",
+            "Complete mandatory human review before interpreting this report."
+          ],
+          "confidence": 0.0,
+          "analysis_unavailable": true
+        },
+        "provenance": {
+          "prompt_sha256": "186e4083dbdff89a17a7643b1bb089e4ea68598430021cb939ced6be1cbfb1b0",
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+          "prompt_protocol_version": "research_assistant_v1",
+          "assistant_schema_version": "1.2",
+          "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+          "model_self_confidence": "0.0"
+        },
+        "epistemic_status": {
+          "evidence": false,
+          "interpretation_only": true,
+          "human_review_required": true
+        },
+        "review": {
+          "status": "pending",
+          "reviewer": null,
+          "reviewed_at": null,
+          "disposition": null
+        },
+        "generated_at": "2026-09-10T01:10:52.145699+00:00"
+      },
+      "reviewer": {
+        "analysis_id": "AIAR-critical_reviewer-20260910011152174184-b4020ad8",
+        "role": "critical_reviewer",
+        "model": {
+          "provider": "system-fallback",
+          "model_name": "unavailable",
+          "model_digest": "not_applicable",
+          "quantization": "unknown",
+          "context_length": "unknown",
+          "temperature": 0.0,
+          "top_p": 1.0,
+          "seed": "not_reported",
+          "backend_version": "unknown"
+        },
+        "inputs": {
+          "experiment_id": "EXP-BATCH-20260909223705-28",
+          "packet_digest": "b4020ad8d9cebc3d51fa0959a0bc0aa938bfd93080522fefd43ab3aec4e2d244"
+        },
+        "output": {
+          "assessment": "Die Rolle critical_reviewer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+          "observations": [],
+          "effect_direction": "not_determined",
+          "methodological_concerns": [
+            "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+            "Technical reason: TimeoutError: timed out"
+          ],
+          "alternative_explanations": [],
+          "recommended_experiments": [],
+          "requested_evidence": [
+            "Run the role again with a schema-conforming backend response.",
+            "Complete mandatory human review before interpreting this report."
+          ],
+          "confidence": 0.0,
+          "analysis_unavailable": true
+        },
+        "provenance": {
+          "prompt_sha256": "83263c5a445438ee0b005dbd6bc03bc4995052f695ac6cd86dae3019ce28dcd0",
+          "research_packet_digest": "b4020ad8d9cebc3d51fa0959a0bc0aa938bfd93080522fefd43ab3aec4e2d244",
+          "prompt_protocol_version": "research_assistant_v1",
+          "assistant_schema_version": "1.2",
+          "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+          "model_self_confidence": "0.0"
+        },
+        "epistemic_status": {
+          "evidence": false,
+          "interpretation_only": true,
+          "human_review_required": true
+        },
+        "review": {
+          "status": "pending",
+          "reviewer": null,
+          "reviewed_at": null,
+          "disposition": null
+        },
+        "generated_at": "2026-09-10T01:11:52.174184+00:00"
+      },
+      "writer": {
+        "analysis_id": "AIAR-scientific_writer-20260910011252208116-b4020ad8",
+        "role": "scientific_writer",
+        "model": {
+          "provider": "system-fallback",
+          "model_name": "unavailable",
+          "model_digest": "not_applicable",
+          "quantization": "unknown",
+          "context_length": "unknown",
+          "temperature": 0.0,
+          "top_p": 1.0,
+          "seed": "not_reported",
+          "backend_version": "unknown"
+        },
+        "inputs": {
+          "experiment_id": "EXP-BATCH-20260909223705-28",
+          "packet_digest": "b4020ad8d9cebc3d51fa0959a0bc0aa938bfd93080522fefd43ab3aec4e2d244"
+        },
+        "output": {
+          "assessment": "Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+          "observations": [],
+          "effect_direction": "not_determined",
+          "methodological_concerns": [
+            "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+            "Technical reason: TimeoutError: timed out"
+          ],
+          "alternative_explanations": [],
+          "recommended_experiments": [],
+          "requested_evidence": [
+            "Run the role again with a schema-conforming backend response.",
+            "Complete mandatory human review before interpreting this report."
+          ],
+          "confidence": 0.0,
+          "analysis_unavailable": true
+        },
+        "provenance": {
+          "prompt_sha256": "a3f331ba90675bf388b582e81323ed776fabb8888f12ca003e9e79bb1989df7b",
+          "research_packet_digest": "b4020ad8d9cebc3d51fa0959a0bc0aa938bfd93080522fefd43ab3aec4e2d244",
+          "prompt_protocol_version": "research_assistant_v1",
+          "assistant_schema_version": "1.2",
+          "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+          "model_self_confidence": "0.0"
+        },
+        "epistemic_status": {
+          "evidence": false,
+          "interpretation_only": true,
+          "human_review_required": true
+        },
+        "review": {
+          "status": "pending",
+          "reviewer": null,
+          "reviewed_at": null,
+          "disposition": null
+        },
+        "generated_at": "2026-09-10T01:12:52.208116+00:00"
+      }
+    }
+  },
+  "provenance": {
+    "research_packet_digest": "b4020ad8d9cebc3d51fa0959a0bc0aa938bfd93080522fefd43ab3aec4e2d244",
+    "source": {
+      "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+      "experiment_status": "completed",
+      "evidence_mode": "not_reported",
+      "git_dirty": "True",
+      "source_freeze_sha": "43b44fa451a85501665a78db4fe2ec7f20262519733444cd60351f2a3084b2f6",
+      "configuration_path": "F:\\Brain-5D\\configs\\learning_experiment.yaml",
+      "configuration_sha256": "6f6cd457caf6216c286fee47ef03b529a0b496ed2dd53ee96b85d3b51e7b3a1c",
+      "experiment_manifest_digest": "9b88c3fabe4b52f01bc56880828dc522aa560f54c4fb1c9816bd61bf7c12e10d",
+      "data_ids": "NOT_AVAILABLE",
+      "evid_ids": "NOT_AVAILABLE",
+      "protocol_id": "NOT_AVAILABLE",
+      "protocol_digest": "e733a00884292e05f7f2dfe6d7ace05b4a163b45a15a1e49a0ef1f0f97f1e653",
+      "data_digest": "26628d3433b132546620f0911a3065e2babbfb0cab66f7ad8cbe7377a537530e",
+      "evid_digests": "[]"
+    }
+  },
+  "analysis_ids": [
+    "AIAR-scientific_analyst-20260910011052145699-b4020ad8",
+    "AIAR-critical_reviewer-20260910011152174184-b4020ad8",
+    "AIAR-scientific_writer-20260910011252208116-b4020ad8"
+  ],
+  "supersedes": null,
+  "content_digest": "afa2195e52bb0a3cd24b2c099a57fdc673fc50b322a70ed249b33640729ae924",
+  "markdown_digest": "543db88cec5937a1e60188c992fe3f69a158fcc76fd4f631fde20efc8fce8b91"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-28/reports/AIRR-2026-0001.md b/research/experiments/EXP-BATCH-20260909223705-28/reports/AIRR-2026-0001.md
new file mode 100644
index 0000000000000000000000000000000000000000..c7d26bc8bf1ecb74625d4e7211e2aac5386c03fe
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-28/reports/AIRR-2026-0001.md
@@ -0,0 +1,6512 @@
+============================================================
+BRAIN-5D - AI GENERATED SCIENTIFIC ANALYSIS
+============================================================
+
+Dieser Bericht wurde durch ein kuenstliches Intelligenzsystem erzeugt.
+
+Er stellt eine wissenschaftliche Interpretation von MHRN-Forschungsdaten dar.
+
+Er ist KEINE wissenschaftliche Evidenz.
+
+Er wurde zum Zeitpunkt der Erstellung noch nicht automatisch durch einen Menschen bestaetigt.
+
+Human Review Status: PENDING
+============================================================
+
+# AI Research Report AIRR-2026-0001
+
+Status: review_pending | Experiment: EXP-BATCH-20260909223705-28
+Research Question: RQ-EMB-001
+## Executive Summary
+
+```json
+"Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor."
+```
+
+## Research Question
+
+```json
+{
+  "id": "RQ-EMB-001",
+  "domain": "Embodiment",
+  "question": "Kann Brain-5D in einer Sensor-Aktor-Schleife (Embodiment) sinnvoll agieren?",
+  "relevance": "Embodiment erweitert Brain-5D von einer reinen Simulation zu einem interaktiven System.",
+  "literature": [],
+  "hypotheses": [
+    "H-EMB-001-B",
+    "H-EMB-001-A"
+  ],
+  "evidence": [],
+  "status": "open",
+  "answer": {
+    "current": null,
+    "confidence": "none",
+    "limitations": null
+  },
+  "created": "2026-08-23",
+  "updated": "2026-08-23"
+}
+```
+
+## Experimental Design
+
+```json
+{
+  "experiment_id": "EXP-BATCH-20260909223705-28",
+  "research_question": "RQ-EMB-001",
+  "hypothesis": "H-EMB-001-B",
+  "title": "Experiment workflow: embodied_closed_loop_v1",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "ticks_contract": "minimum requested observation window",
+  "seeds": [
+    101,
+    102,
+    103
+  ],
+  "protocol": "embodied_closed_loop_v1",
+  "resolved_runner": "run_embodied_closed_loop",
+  "tick_validation": {
+    "status": "SATISFIED",
+    "mode": "minimum_per_run",
+    "requested_ticks": 1000,
+    "observed_min": 1000,
+    "observed_max": 1000
+  },
+  "notes": "",
+  "execution": "registered experiment_suite runner",
+  "assistant_policy": "AI is post-hoc interpretation only.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
+```
+
+## Data Basis
+
+```json
+{
+  "data": {
+    "ai_input_policy": "compact_only_raw_on_explicit_deterministic_extract",
+    "generated_by": "deterministic_research_data_v2",
+    "limits": {
+      "ai_packet_max_bytes": 1000000,
+      "run_summary_max_bytes": 5000000,
+      "sequence_preview_items": 16
+    },
+    "raw_index": {
+      "path": "DATA/runs_index.json",
+      "run_count": 9,
+      "sha256": "9a791b272d3136533607c4bb625abe70ded765cb08b7f262afa3266b88152e20"
+    },
+    "run_count": 9,
+    "run_preview": [
+      {
+        "_raw_artifact": {
+          "format": "json.gz",
+          "path": "DATA/raw/run-0000-closed_loop-seed-101.json.gz",
+          "sha256": "20ea3e92deb4def3433c8972b3d08fbadf3ca37926d1294651860e5880848ee3",
+          "size_bytes": 51085,
+          "uncompressed_bytes": 297691
+        },
+        "condition": "closed_loop",
+        "experiment_id": "EXP-BATCH-20260909223705-28",
+        "metrics": {
+          "activated_neuron_count": 6,
+          "biological_replication": false,
+          "boundary_contract": {
+            "UI_dependency": "none",
+            "decoder_decay": 0.95,
+            "decoder_nm_per_unit": 0.008,
+            "input_gain": 70.0,
+            "learning": "disabled",
+            "tonic_current": 2.0,
+            "velocity_gain": 1.5,
+            "version": "joint-v1"
+          },
+          "closed_loop_state_sha256": "fc5cbe84106ba43d7256a8a3f1e996fd8f6d66af85878f3a5b9ee7f41d789aca",
+          "controller": "FIXED_SPIKE_TO_TORQUE",
+          "data_kind": "SYNTHETIC",
+          "donor_motor_sha256": "f85943c279b367485e9b5f405578dc83a6c03a09ae1d2d075a2b97982e1d1e89",
+          "donor_runtime_error": null,
+          "donor_tape_sha256": "01f7abe96ee3a203a11f974322464cc7ae19581f0db5af9cb042612dc05e1b3e",
+          "donor_ticks_overhead": 1000,
+          "effective_config": {
+            "dimensions": [
+              6,
+              1,
+              1,
+              1,
+              1
+            ],
+            "eligibility": {
+              "enabled": true,
+              "tau_ticks": 200.0
+            },
+            "energy": {
+              "affects_firing": false,
+              "initial": 1.0,
+              "spike_cost": 0.001
+            },
+            "initial_neurons": 0,
+            "learning_experiment": {
+              "connection_delay_ticks": 1,
+              "drive_current": 100.0,
+              "initial_weight": 0.05,
+              "pair_delay_ticks": 5,
+              "partitions": {
+                "holdout": [
+                  16,
+                  17,
+                  18,
+                  19
+                ],
+                "train": [
+                  0,
+                  1,
+                  2,
+                  3,
+                  4,
+                  5,
+                  6,
+                  7,
+                  8,
+                  9,
+                  10,
+                  11
+                ],
+                "validation": [
+                  12,
+                  13,
+                  14,
+                  15
+                ]
+              },
+              "presynaptic_neurons": 48,
+              "probe_ticks": 5,
+              "protocol_id": "PROTOCOL-STDP-0002",
+              "protocol_version": 1,
+              "reward_value": 1.0,
+              "training_trials": 20,
+              "trial_spacing_ticks": 25
+            },
+            "max_neurons": 3125,
+            "network": {
+              "initial_connections_per_neuron": 0,
+              "neighbour_radius": 2.0,
+              "weight_max": 0.5,
+              "weight_min": 0.0
+            },
+            "neuron": {
+              "a": 0.02,
+              "b": 0.2,
+              "c": -65.0,
+              "d": 8.0
+            },
+            "reward": {
+              "clamp_weights": true,
+              "delay_ticks": 0,
+              "enabled": true,
+              "learning_rate": 0.5,
+              "reset_trace_after_reward": true,
+              "reward_source": "external",
+              "trace_epsilon": 1e-12
+            },
+            "seed": 42,
+            "simulation": {
+              "dt_ms": 1.0,
+              "max_delay": 20
+            },
+            "stdp": {
+              "enabled": false
+            },
+            "topology": {
+              "allow_parallel_connections": false,
+              "allow_self_connections": false,
+              "input": {
+                "coordinate": 0,
+                "dimension": "x"
+              },
+              "output": {
+                "coordinate": 4,
+                "dimension": "x"
+              }
+            }
+          },
+          "execution_batch_ticks": 1,
+          "gateway_state_after": {
+            "body": {
+              "contact_count": 0,
+              "elapsed_s": 1.0000000000000007,
+              "modelled_absolute_work_j": 0.004715948645326781,
+              "omega_rad_s": 0.7776678733365624,
+              "parameters": {
+                "damping_nm_s": 0.002,
+                "inertia_kg_m2": 5e-05,
+                "lower_rad": -0.75,
+                "torque_limit_nm": 0.015,
+                "upper_rad": 0.75
+              },
+              "q_rad": -0.2571579501489215,
+              "saturation_count": 18
+            },
+            "filtered_motor": 0.26813978335705974,
+            "neural_digest": "f8fd11391391affa49a40baf92c8dfdafed85bf75a53e1e26ac21257ea25617b",
+            "pending_steps": 0,
+            "sensor": [
+              -0.25793561802225806,
+              0.7653807374994092
+            ],
+            "ticks": 1000
+          },
+          "gateway_state_before": {
+            "body": {
+              "contact_count": 0,
+              "elapsed_s": 0.0,
+              "modelled_absolute_work_j": 0.0,
+              "omega_rad_s": 0.0,
+              "parameters": {
+                "damping_nm_s": 0.002,
+                "inertia_kg_m2": 5e-05,
+                "lower_rad": -0.75,
+                "torque_limit_nm": 0.015,
+                "upper_rad": 0.75
+              },
+              "q_rad": 0.008115213250456464,
+              "saturation_count": 0
+            },
+            "filtered_motor": 0.0
+          },
+          "graph": {
+            "data_kind": "SYNTHETIC",
+            "degree_by_original_id": {
+              "0": [
+                0,
+                1
+              ],
+              "1": [
+                0,
+                1
+              ],
+              "2": [
+                2,
+                1
+              ],
+              "3": [
+                2,
+                1
+              ],
+              "4": [
+                1,
+                1
+              ],
+              "5": [
+                1,
+                1
+              ]
+            },
+            "edge_count": 6,
+            "graph_sha256": "58fb79ebd376e2cc7749b16abc5bf7465e97d3aacbe32e460aa541d8b582bbb3",
+            "node_count": 6,
+            "reciprocal_edge_fraction": 0.6666666666666666
+          },
+          "inference": "engineering_screen_only_no_EVID_promotion",
+          "integrity_contact_count": 0,
+          "learning_enabled": false,
+          "measured_hardware_energy_j": null,
+          "modelled_absolute_work_j": 0.004715948645326781,
+          "neural_dt_ms": 1.0,
+          "nonzero_action_ticks": 996,
+          "physics_period_ticks": 1,
+          "preregistration_sha256": "6d720a0a9cee725ac0896735054fafb625c19d98ab4821490c0865eaa4f88639",
+          "protocol_id": "embodied_closed_loop_v1",
+          "sensor_period_ticks": 1,
+          "synaptic_events_delivered": 54,
+          "ticks_executed": 1000,
+          "ticks_requested": 1000,
+          "torque_saturation_count": 18,
+          "total_spikes": 54,
+          "trace": {
+            "_projection": "bounded_sequence",
+            "head": [
+              {
+                "actuator_gain": 1.0,
+                "applied_nm": 0.0,
+                "blocked": false,
+                "command_nm": 0.0,
+                "observed_omega_rad_s": 0.0,
+                "observed_q_rad": 0.008115213250456464,
+                "omega_rad_s": 0.0,
+                "q_rad": 0.008115213250456464,
+                "spike_ids": [],
+                "target_rad": 0.25,
+                "tick": 1
+              },
+              {
+                "actuator_gain": 1.0,
+                "applied_nm": 0.0,
+                "blocked": false,
+                "command_nm": 0.0,
+                "observed_omega_rad_s": 0.0,
+                "observed_q_rad": 0.008115213250456464,
+                "omega_rad_s": 0.0,
+                "q_rad": 0.008115213250456464,
+                "spike_ids": [],
+                "target_rad": 0.25,
+                "tick": 2
+              },
+              {
+                "actuator_gain": 1.0,
+                "applied_nm": 0.0,
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+                "command_nm": 0.0,
+                "observed_omega_rad_s": 0.0,
+                "observed_q_rad": 0.008115213250456464,
+                "omega_rad_s": 0.0,
+                "q_rad": 0.008115213250456464,
+                "spike_ids": [
+                  0
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+                "target_rad": 0.25,
+                "tick": 3
+              },
+              {
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+                "blocked": false,
+                "command_nm": 0.0,
+                "observed_omega_rad_s": 0.0,
+                "observed_q_rad": 0.008115213250456464,
+                "omega_rad_s": 0.0,
+                "q_rad": 0.008115213250456464,
+                "spike_ids": [
+                  2
+                ],
+                "target_rad": 0.25,
+                "tick": 4
+              },
+              {
+                "actuator_gain": 1.0,
+                "applied_nm": 0.008,
+                "blocked": false,
+                "command_nm": 0.008,
+                "observed_omega_rad_s": 0.0,
+                "observed_q_rad": 0.008115213250456464,
+                "omega_rad_s": 0.16,
+                "q_rad": 0.008275213250456465,
+                "spike_ids": [
+                  4
+                ],
+                "target_rad": 0.25,
+                "tick": 5
+              },
+              {
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+                "observed_omega_rad_s": 0.16,
+                "observed_q_rad": 0.008275213250456465,
+                "omega_rad_s": 0.3056,
+                "q_rad": 0.008580813250456464,
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+              {
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+              {
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+                "observed_q_rad": 0.009018589250456465,
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+              {
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+            }
+          },
+          "run_count": 3,
+          "seeds": [
+            101,
+            102,
+            103
+          ]
+        },
+        "yoked_replay": {
+          "metrics": {
+            "ticks_executed": {
+              "max": 1000.0,
+              "mean": 1000.0,
+              "median": 1000.0,
+              "min": 1000.0,
+              "n": 3,
+              "std": 0.0
+            },
+            "total_spikes": {
+              "max": 48.0,
+              "mean": 45.0,
+              "median": 45.0,
+              "min": 42.0,
+              "n": 3,
+              "std": 2.449489742783178
+            }
+          },
+          "run_count": 3,
+          "seeds": [
+            101,
+            102,
+            103
+          ]
+        }
+      },
+      "formulas": {
+        "difference": "Delta_x = mean(x_B) - mean(x_A)",
+        "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+        "mean": "mean(x) = (1/n) * sum_i x_i",
+        "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+        "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+      },
+      "generated_by": "deterministic_statistics_engine",
+      "run_count": 9,
+      "schema_version": "2.0"
+    }
+  },
+  "evid": [],
+  "literature": []
+}
+```
+
+## Quantitative Results
+
+```json
+{
+  "conditions": {
+    "closed_loop": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 3,
+          "std": 0.0
+        },
+        "total_spikes": {
+          "max": 54.0,
+          "mean": 51.0,
+          "median": 51.0,
+          "min": 48.0,
+          "n": 3,
+          "std": 2.449489742783178
+        }
+      },
+      "run_count": 3,
+      "seeds": [
+        101,
+        102,
+        103
+      ]
+    },
+    "feedback_absent": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 3,
+          "std": 0.0
+        },
+        "total_spikes": {
+          "max": 120.0,
+          "mean": 120.0,
+          "median": 120.0,
+          "min": 120.0,
+          "n": 3,
+          "std": 0.0
+        }
+      },
+      "run_count": 3,
+      "seeds": [
+        101,
+        102,
+        103
+      ]
+    },
+    "yoked_replay": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 3,
+          "std": 0.0
+        },
+        "total_spikes": {
+          "max": 48.0,
+          "mean": 45.0,
+          "median": 45.0,
+          "min": 42.0,
+          "n": 3,
+          "std": 2.449489742783178
+        }
+      },
+      "run_count": 3,
+      "seeds": [
+        101,
+        102,
+        103
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 9,
+  "schema_version": "2.0"
+}
+```
+
+## Observations
+
+```json
+[]
+```
+
+## Interpretation
+
+```json
+{
+  "assessment": "Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+  "observations": [],
+  "effect_direction": "not_determined",
+  "methodological_concerns": [
+    "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+    "Technical reason: TimeoutError: timed out"
+  ],
+  "alternative_explanations": [],
+  "recommended_experiments": [],
+  "requested_evidence": [
+    "Run the role again with a schema-conforming backend response.",
+    "Complete mandatory human review before interpreting this report."
+  ],
+  "confidence": 0.0,
+  "analysis_unavailable": true
+}
+```
+
+## Methodological Critique
+
+```json
+[
+  "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+  "Technical reason: TimeoutError: timed out"
+]
+```
+
+## Alternative Explanations
+
+```json
+[]
+```
+
+## Reproducibility
+
+```json
+{
+  "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+  "experiment_status": "completed",
+  "evidence_mode": "not_reported",
+  "git_dirty": "True",
+  "source_freeze_sha": "43b44fa451a85501665a78db4fe2ec7f20262519733444cd60351f2a3084b2f6",
+  "configuration_path": "F:\\Brain-5D\\configs\\learning_experiment.yaml",
+  "configuration_sha256": "6f6cd457caf6216c286fee47ef03b529a0b496ed2dd53ee96b85d3b51e7b3a1c",
+  "experiment_manifest_digest": "9b88c3fabe4b52f01bc56880828dc522aa560f54c4fb1c9816bd61bf7c12e10d",
+  "data_ids": "NOT_AVAILABLE",
+  "evid_ids": "NOT_AVAILABLE",
+  "protocol_id": "NOT_AVAILABLE",
+  "protocol_digest": "e733a00884292e05f7f2dfe6d7ace05b4a163b45a15a1e49a0ef1f0f97f1e653",
+  "data_digest": "26628d3433b132546620f0911a3065e2babbfb0cab66f7ad8cbe7377a537530e",
+  "evid_digests": "[]"
+}
+```
+
+## Epistemic Status
+
+```json
+{
+  "implementation": "NOT_DETERMINED",
+  "experiment_data": "PRESENT",
+  "registered_evidence": "ABSENT",
+  "ai_interpretation": "PRESENT",
+  "human_review": "PENDING",
+  "claim_support": "NOT_DETERMINED",
+  "rq_status": "IN_PROGRESS"
+}
+```
+
+## Missing Evidence
+
+```json
+[
+  "Run the role again with a schema-conforming backend response.",
+  "Complete mandatory human review before interpreting this report."
+]
+```
+
+## Recommended Follow-up Experiments
+
+```json
+[]
+```
+
+## Conclusion
+
+```json
+"Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor."
+```
+
+## Human Review
+
+```json
+{
+  "status": "PENDING",
+  "reviewer": null,
+  "reviewed_at": null,
+  "disposition": null,
+  "comments": null
+}
+```
+
+AI confidence: 0.0
+This value describes internal AI confidence and is not a statistical confidence interval.
+
+Content digest: afa2195e52bb0a3cd24b2c099a57fdc673fc50b322a70ed249b33640729ae924
+JSON/Markdown link digest: 543db88cec5937a1e60188c992fe3f69a158fcc76fd4f631fde20efc8fce8b91
diff --git a/research/experiments/EXP-BATCH-20260909223705-28/reports/AIRR-2026-0001.review.json b/research/experiments/EXP-BATCH-20260909223705-28/reports/AIRR-2026-0001.review.json
new file mode 100644
index 0000000000000000000000000000000000000000..3e3d0455a59c25113236ccd66e5b3952b93f3870
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-28/reports/AIRR-2026-0001.review.json
@@ -0,0 +1,8 @@
+{
+  "report_id": "AIRR-2026-0001",
+  "review_status": "accepted_as_interpretation",
+  "reviewer": "Thomas Heisig",
+  "reviewed_at": "2026-09-10T06:05:13.163206+00:00",
+  "comments": "Fehler",
+  "report_content_digest": "afa2195e52bb0a3cd24b2c099a57fdc673fc50b322a70ed249b33640729ae924"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-28/summary.md b/research/experiments/EXP-BATCH-20260909223705-28/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..50d9eabaa121cc4fb57e59a56fee92eb079c1153
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-28/summary.md
@@ -0,0 +1,144 @@
+# EXP-BATCH-20260909223705-28: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-EMB-001`
+- Hypothese: `H-EMB-001-B`
+- Protokoll: `embodied_closed_loop_v1`
+- Durchlaeufe: `9`
+- Seeds: `[101, 102, 103]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `closed_loop, feedback_absent, yoked_replay`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: embodied_closed_loop_v1
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `F:\Brain-5D\configs\learning_experiment.yaml`
+- Config SHA-256: `6f6cd457caf6216c286fee47ef03b529a0b496ed2dd53ee96b85d3b51e7b3a1c`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `0.304554599992116` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| closed_loop | 3 | 101,102,103 | 1000 | 51 | — | — | — | — |
+| feedback_absent | 3 | 101,102,103 | 1000 | 120 | — | — | — | — |
+| yoked_replay | 3 | 101,102,103 | 1000 | 45 | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 101 | closed_loop | 1000 | 54 | — | — | — | — | — |
+| 101 | yoked_replay | 1000 | 42 | — | — | — | — | — |
+| 101 | feedback_absent | 1000 | 120 | — | — | — | — | — |
+| 102 | closed_loop | 1000 | 48 | — | — | — | — | — |
+| 102 | yoked_replay | 1000 | 45 | — | — | — | — | — |
+| 102 | feedback_absent | 1000 | 120 | — | — | — | — | — |
+| 103 | closed_loop | 1000 | 51 | — | — | — | — | — |
+| 103 | yoked_replay | 1000 | 48 | — | — | — | — | — |
+| 103 | feedback_absent | 1000 | 120 | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `generated`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+- AIRR Markdown: [`reports/AIRR-2026-0001.md`](reports/AIRR-2026-0001.md)
+- AIRR JSON: [`reports/AIRR-2026-0001.json`](reports/AIRR-2026-0001.json)
+
+### 8.1 KI-Einschaetzung
+
+Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.
+
+KI-Konfidenz: `0.0` — dies ist keine statistische Konfidenz.
+
+### Methodische Kritik
+
+- AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.
+- Technical reason: TimeoutError: timed out
+
+### Alternative Erklaerungen
+
+- Keine expliziten Angaben.
+
+### Fehlende Nachweise
+
+- Run the role again with a schema-conforming backend response.
+- Complete mandatory human review before interpreting this report.
+
+### Empfohlene Folgeexperimente
+
+- Keine expliziten Folgeexperimente im AIRR angegeben.
+
+## 9. Artefakte
+
+- [analysis/ai_packet.json](analysis/ai_packet.json)
+- [analysis/ai_packet_digest.json](analysis/ai_packet_digest.json)
+- [analysis/AIAR-critical_reviewer-20260910011152174184-b4020ad8.json](analysis/AIAR-critical_reviewer-20260910011152174184-b4020ad8.json)
+- [analysis/AIAR-scientific_analyst-20260910011052145699-b4020ad8.json](analysis/AIAR-scientific_analyst-20260910011052145699-b4020ad8.json)
+- [analysis/AIAR-scientific_writer-20260910011252208116-b4020ad8.json](analysis/AIAR-scientific_writer-20260910011252208116-b4020ad8.json)
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/current_run.json](DATA/current_run.json)
+- [DATA/gateway_state.json](DATA/gateway_state.json)
+- [DATA/raw/run-0000-closed_loop-seed-101.json.gz](DATA/raw/run-0000-closed_loop-seed-101.json.gz)
+- [DATA/raw/run-0001-yoked_replay-seed-101.json.gz](DATA/raw/run-0001-yoked_replay-seed-101.json.gz)
+- [DATA/raw/run-0002-feedback_absent-seed-101.json.gz](DATA/raw/run-0002-feedback_absent-seed-101.json.gz)
+- [DATA/raw/run-0003-closed_loop-seed-102.json.gz](DATA/raw/run-0003-closed_loop-seed-102.json.gz)
+- [DATA/raw/run-0004-yoked_replay-seed-102.json.gz](DATA/raw/run-0004-yoked_replay-seed-102.json.gz)
+- [DATA/raw/run-0005-feedback_absent-seed-102.json.gz](DATA/raw/run-0005-feedback_absent-seed-102.json.gz)
+- [DATA/raw/run-0006-closed_loop-seed-103.json.gz](DATA/raw/run-0006-closed_loop-seed-103.json.gz)
+- [DATA/raw/run-0007-yoked_replay-seed-103.json.gz](DATA/raw/run-0007-yoked_replay-seed-103.json.gz)
+- [DATA/raw/run-0008-feedback_absent-seed-103.json.gz](DATA/raw/run-0008-feedback_absent-seed-103.json.gz)
+- [DATA/runs.json](DATA/runs.json)
+- [DATA/runs_index.json](DATA/runs_index.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [reports/AIRR-2026-0001.json](reports/AIRR-2026-0001.json)
+- [reports/AIRR-2026-0001.md](reports/AIRR-2026-0001.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-28/workflow.json b/research/experiments/EXP-BATCH-20260909223705-28/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..a6617bcfb5a08d2ae196ba137fb41e619c3cda82
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-28/workflow.json
@@ -0,0 +1,32 @@
+{
+  "experiment_id": "EXP-BATCH-20260909223705-28",
+  "research_question": "RQ-EMB-001",
+  "hypothesis": "H-EMB-001-B",
+  "title": "Experiment workflow: embodied_closed_loop_v1",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "ticks_contract": "minimum requested observation window",
+  "seeds": [
+    101,
+    102,
+    103
+  ],
+  "protocol": "embodied_closed_loop_v1",
+  "resolved_runner": "run_embodied_closed_loop",
+  "tick_validation": {
+    "status": "SATISFIED",
+    "mode": "minimum_per_run",
+    "requested_ticks": 1000,
+    "observed_min": 1000,
+    "observed_max": 1000
+  },
+  "notes": "",
+  "execution": "registered experiment_suite runner",
+  "assistant_policy": "AI is post-hoc interpretation only.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-29/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-29/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-29/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-29/manifest.json b/research/experiments/EXP-BATCH-20260909223705-29/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..19091ecfc92334861465f052ec736c6bb10af4b5
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-29/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-29/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T01:12:52.554682+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-29",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-LLM-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-LLM-001"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 27000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 26000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 164.0866657000006
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T03:12:52.554670",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-29/report.md b/research/experiments/EXP-BATCH-20260909223705-29/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..b11f80db7f98f9f367c6344fa354d23345cdc0e2
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-29/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-29: Experiment workflow: exploratory RQ-LLM-001
+
+## Forschungsfrage
+RQ-LLM-001
+
+## Hypothese
+H-LLM-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 164.086666 s
+
+## Ergebnis
+Tick: 26000 -> 27000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-29/summary.md b/research/experiments/EXP-BATCH-20260909223705-29/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..4ba2bcb3486c9ac24db94d2afb4e100d0b03ab37
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-29/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-29: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-LLM-001`
+- Hypothese: `H-LLM-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-LLM-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `164.0866657000006` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-29/workflow.json b/research/experiments/EXP-BATCH-20260909223705-29/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..acaa565d3b049e45904854b0717c7ae9e54d6c81
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-29/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-LLM-001",
+  "research_question": "RQ-LLM-001",
+  "hypothesis": "H-LLM-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-30/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-30/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-30/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-30/manifest.json b/research/experiments/EXP-BATCH-20260909223705-30/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..cee0928bbe8bd7a9a7eee878e545203caf75ba5d
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-30/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-30/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T01:15:36.851203+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-30",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-ETH-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-ETH-001"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 28000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 27000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 157.6863480000029
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T03:15:36.851196",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-30/report.md b/research/experiments/EXP-BATCH-20260909223705-30/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..ddc41eacd2670fc2e0b387e0437002a5e9adc222
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-30/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-30: Experiment workflow: exploratory RQ-ETH-001
+
+## Forschungsfrage
+RQ-ETH-001
+
+## Hypothese
+H-ETH-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 157.686348 s
+
+## Ergebnis
+Tick: 27000 -> 28000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-30/summary.md b/research/experiments/EXP-BATCH-20260909223705-30/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..9df54b4160263e4dfe15a9d6fbd4950f3aaa2cf0
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-30/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-30: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-ETH-001`
+- Hypothese: `H-ETH-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-ETH-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `157.6863480000029` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-30/workflow.json b/research/experiments/EXP-BATCH-20260909223705-30/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..f83713683e0d7ed8bcc0f3e837bb2816c45db932
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-30/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-ETH-001",
+  "research_question": "RQ-ETH-001",
+  "hypothesis": "H-ETH-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-31/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-31/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-31/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-31/manifest.json b/research/experiments/EXP-BATCH-20260909223705-31/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..958d04dc44d567fd98e77e1ab78e8b8d7ff34135
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-31/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-31/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T01:18:14.779461+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-31",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-ETH-002-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-ETH-002"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 29000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 28000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 152.45292699999118
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T03:18:14.779453",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-31/report.md b/research/experiments/EXP-BATCH-20260909223705-31/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..30d7758dec5e4a67c56e1add3858fc35776b2c89
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-31/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-31: Experiment workflow: exploratory RQ-ETH-002
+
+## Forschungsfrage
+RQ-ETH-002
+
+## Hypothese
+H-ETH-002-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 152.452927 s
+
+## Ergebnis
+Tick: 28000 -> 29000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-31/summary.md b/research/experiments/EXP-BATCH-20260909223705-31/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..b9c2ef9777629b455b1633c1d2741e96151b3d80
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-31/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-31: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-ETH-002`
+- Hypothese: `H-ETH-002-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-ETH-002
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `152.45292699999118` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-31/workflow.json b/research/experiments/EXP-BATCH-20260909223705-31/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..8a9bb3dc348a244b9b00e50f34440e258555da77
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-31/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-ETH-002",
+  "research_question": "RQ-ETH-002",
+  "hypothesis": "H-ETH-002-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-32/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-32/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-32/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-32/manifest.json b/research/experiments/EXP-BATCH-20260909223705-32/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..7c3e69f98614bdb4f8fc78ed8b4e7354b2b2b99e
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-32/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-32/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T01:20:47.498476+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-32",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-EPIST-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-EPIST-001"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 30000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 29000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 158.3660579999996
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T03:20:47.498470",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-32/report.md b/research/experiments/EXP-BATCH-20260909223705-32/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..9288e1ca33bf241ee2b484468dbb1018d4f8f610
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-32/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-32: Experiment workflow: exploratory RQ-EPIST-001
+
+## Forschungsfrage
+RQ-EPIST-001
+
+## Hypothese
+H-EPIST-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 158.366058 s
+
+## Ergebnis
+Tick: 29000 -> 30000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-32/summary.md b/research/experiments/EXP-BATCH-20260909223705-32/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..9ab105453059b298cc09cca63e770b6baf98bb1e
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-32/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-32: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-EPIST-001`
+- Hypothese: `H-EPIST-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-EPIST-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `158.3660579999996` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-32/workflow.json b/research/experiments/EXP-BATCH-20260909223705-32/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..590e06eb2c1c673ef72b8bc382960c40133f26a0
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-32/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-EPIST-001",
+  "research_question": "RQ-EPIST-001",
+  "hypothesis": "H-EPIST-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-33/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-33/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-33/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-33/manifest.json b/research/experiments/EXP-BATCH-20260909223705-33/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..05480e68cc0b5e55f5ff0445d74efe9c589635d9
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-33/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-33/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T01:23:26.217825+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-33",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-AIR-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-AIR-001"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 31000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 30000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 160.94574710000597
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T03:23:26.217817",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-33/report.md b/research/experiments/EXP-BATCH-20260909223705-33/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..3eea1b89cba4b09c3196b5d6a44aed3c1b25b386
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-33/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-33: Experiment workflow: exploratory RQ-AIR-001
+
+## Forschungsfrage
+RQ-AIR-001
+
+## Hypothese
+H-AIR-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 160.945747 s
+
+## Ergebnis
+Tick: 30000 -> 31000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-33/summary.md b/research/experiments/EXP-BATCH-20260909223705-33/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..2fd8160e98e992ceb222acd882709dad8028622b
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-33/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-33: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-AIR-001`
+- Hypothese: `H-AIR-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `NOT_AUTOMATICALLY_CLASSIFIED`
+- Evidence Readiness: `BLOCKED_UNCLASSIFIED_SEMANTICS`
+- Begründung: Keine automatische semantische Regel fuer diese RQ-Familie registriert.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-AIR-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `160.94574710000597` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `NOT_AUTOMATICALLY_CLASSIFIED`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-33/workflow.json b/research/experiments/EXP-BATCH-20260909223705-33/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..d92282385221ba72c1a884ccba60df04a744c1b1
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-33/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-AIR-001",
+  "research_question": "RQ-AIR-001",
+  "hypothesis": "H-AIR-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-34/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-34/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..736314042364614309a7dc031b67a19cb547dc50
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-34/analysis/statistics.json
@@ -0,0 +1,30 @@
+{
+  "conditions": {
+    "exploratory_runtime_ticks": {
+      "metrics": {
+        "ticks_executed": {
+          "max": 1000.0,
+          "mean": 1000.0,
+          "median": 1000.0,
+          "min": 1000.0,
+          "n": 1,
+          "std": 0.0
+        }
+      },
+      "run_count": 1,
+      "seeds": [
+        42
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 1,
+  "schema_version": "2.0"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-34/manifest.json b/research/experiments/EXP-BATCH-20260909223705-34/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..f10e201a256f706b270abd3e8f71a4d596bd288f
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-34/manifest.json
@@ -0,0 +1,85 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "data": "DATA/runs.json",
+    "workflow": "experiments/EXP-BATCH-20260909223705-34/workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {},
+  "created_at": "2026-09-10T01:26:07.375805+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-34",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-SUITE-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "research_questions": [
+    "RQ-SUITE-001"
+  ],
+  "research_run_mode": "EXPLORATORY",
+  "results": {
+    "end": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 32000
+    },
+    "observed_ticks": 1000,
+    "passed": true,
+    "start": {
+      "neurons": 5000,
+      "synapses": 36031,
+      "tick": 31000
+    },
+    "tick_contract": "SATISFIED",
+    "ticks_requested": 1000
+  },
+  "runtime": {
+    "duration_seconds": 157.56058789999224
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "runtime_ticks_v1",
+    "seed": 42,
+    "seeds": [
+      42,
+      43,
+      44
+    ],
+    "ticks": 1000
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "timestamp": "2026-09-10T03:26:07.375797",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-34/report.md b/research/experiments/EXP-BATCH-20260909223705-34/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..81df2ec84106bd2d513fe067e4b58e5666336eb2
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-34/report.md
@@ -0,0 +1,40 @@
+# EXP-BATCH-20260909223705-34: Experiment workflow: exploratory RQ-SUITE-001
+
+## Forschungsfrage
+RQ-SUITE-001
+
+## Hypothese
+H-SUITE-001-A
+
+## Bedingungen
+Registered protocol conditions
+
+## Ausfuehrung
+Controller: `step(1000)`
+Ausfuehrungsmodus: kontrollierter Runtime-Lauf
+Dauer: 157.560588 s
+
+## Ergebnis
+Tick: 31000 -> 32000
+Neuronen: 5000 -> 5000
+Synapsen: 36031 -> 36031
+Angeforderte Ticks: 1000
+Beobachtete Ticks: 1000
+Tick-Vertrag: SATISFIED
+
+## Epistemische Ebenen
+UI-Zustand ist nur Dashboard-Steuerung und Fortschritt.
+DATA sind Manifest, Workflow und gemessene Laufwerte.
+EVID wurde nicht erzeugt.
+Interpretation bleibt nachgelagert und hat keine Ausfuehrungsautoritaet.
+
+## Reproduzierbarkeit
+Git-Commit, Laufzeitumgebung und Runtime-Parameter stehen im Manifest.
+
+## Evidenzstatus
+Keine EVID erzeugt. Fuer wissenschaftliche Evidenz sind ein sauberer Source-Freeze, ein registriertes Protokoll, kontrollierte unabhaengige Variablen und definierte Messgroessen erforderlich.
+
+## Hinweise
+Keine.
+
+KI-Ausgaben sind weder Ausfuehrungseingabe noch Evidenz. Eine finale Antwort auf die Forschungsfrage bleibt einer menschlichen wissenschaftlichen Bewertung vorbehalten.
diff --git a/research/experiments/EXP-BATCH-20260909223705-34/summary.md b/research/experiments/EXP-BATCH-20260909223705-34/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..3ddd5a2453409f40aaba6092ad7ee00e7a97691e
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-34/summary.md
@@ -0,0 +1,89 @@
+# EXP-BATCH-20260909223705-34: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-SUITE-001`
+- Hypothese: `H-SUITE-001-A`
+- Protokoll: `runtime_ticks_v1`
+- Durchlaeufe: `1`
+- Seeds: `[42, 43, 44]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `1000 .. 1000` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `EXPLORATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `MISMATCH`
+- Evidence Readiness: `BLOCKED_SEMANTIC_MISMATCH`
+- Begründung: SUITE erwartet science_all_v1 und PING, TEMP, STDP, Learning, TIME, 5D sowie Regulation unter gemeinsamer Provenienz.
+- Beobachtete Conditions: `exploratory_runtime_ticks`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: exploratory RQ-SUITE-001
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `NOT_AVAILABLE`
+- Config SHA-256: `NOT_AVAILABLE`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `157.56058789999224` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| exploratory_runtime_ticks | 1 | 42 | 1000 | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 42 | exploratory_runtime_ticks | 1000 | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `unavailable`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+
+## 9. Artefakte
+
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/runs.json](DATA/runs.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `MISMATCH`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-34/workflow.json b/research/experiments/EXP-BATCH-20260909223705-34/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..6613f37c35868df7125f0f04e1413a085dac2a4a
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-34/workflow.json
@@ -0,0 +1,22 @@
+{
+  "title": "Experiment workflow: exploratory RQ-SUITE-001",
+  "research_question": "RQ-SUITE-001",
+  "hypothesis": "H-SUITE-001-A",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "protocol": "runtime_ticks_v1",
+  "seeds": [
+    42,
+    43,
+    44
+  ],
+  "notes": "",
+  "execution": "controller.step",
+  "assistant_policy": "No AI-generated input is executed or used as evidence.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-35/DATA/current_run.json b/research/experiments/EXP-BATCH-20260909223705-35/DATA/current_run.json
new file mode 100644
index 0000000000000000000000000000000000000000..30af9269d0fc616ca7699643f76f16a6edb7de7d
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-35/DATA/current_run.json
@@ -0,0 +1,11 @@
+{
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+  },
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+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-35/DATA/runs_index.json b/research/experiments/EXP-BATCH-20260909223705-35/DATA/runs_index.json
new file mode 100644
index 0000000000000000000000000000000000000000..8550944a256af10311372ce045919636b492ea83
--- /dev/null
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diff --git a/research/experiments/EXP-BATCH-20260909223705-35/analysis/AIAR-critical_reviewer-20260910013047134097-e1bb28f6.json b/research/experiments/EXP-BATCH-20260909223705-35/analysis/AIAR-critical_reviewer-20260910013047134097-e1bb28f6.json
new file mode 100644
index 0000000000000000000000000000000000000000..8a4545ba269a5923898f1272cc2449f4d7bb7ccb
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-35/analysis/AIAR-critical_reviewer-20260910013047134097-e1bb28f6.json
@@ -0,0 +1,56 @@
+{
+  "analysis_id": "AIAR-critical_reviewer-20260910013047134097-e1bb28f6",
+  "role": "critical_reviewer",
+  "model": {
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+    "model_name": "unavailable",
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+    "packet_digest": "e1bb28f67f023d6cc930dab08f2cd444bd04626c6a02cb7e126e3455241447d4"
+  },
+  "output": {
+    "assessment": "Die Rolle critical_reviewer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+    "observations": [],
+    "effect_direction": "not_determined",
+    "methodological_concerns": [
+      "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+      "Technical reason: TimeoutError: timed out"
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+    "alternative_explanations": [],
+    "recommended_experiments": [],
+    "requested_evidence": [
+      "Run the role again with a schema-conforming backend response.",
+      "Complete mandatory human review before interpreting this report."
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+++ b/research/experiments/EXP-BATCH-20260909223705-35/analysis/AIAR-scientific_analyst-20260910012947112176-e1bb28f6.json
@@ -0,0 +1,56 @@
+{
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+  "output": {
+    "assessment": "Die Rolle scientific_analyst konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+    "observations": [],
+    "effect_direction": "not_determined",
+    "methodological_concerns": [
+      "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+      "Technical reason: TimeoutError: timed out"
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+    "alternative_explanations": [],
+    "recommended_experiments": [],
+    "requested_evidence": [
+      "Run the role again with a schema-conforming backend response.",
+      "Complete mandatory human review before interpreting this report."
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+++ b/research/experiments/EXP-BATCH-20260909223705-35/analysis/AIAR-scientific_writer-20260910013147151285-e1bb28f6.json
@@ -0,0 +1,56 @@
+{
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+  "role": "scientific_writer",
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+    "packet_digest": "e1bb28f67f023d6cc930dab08f2cd444bd04626c6a02cb7e126e3455241447d4"
+  },
+  "output": {
+    "assessment": "Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+    "observations": [],
+    "effect_direction": "not_determined",
+    "methodological_concerns": [
+      "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
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diff --git a/research/experiments/EXP-BATCH-20260909223705-35/analysis/ai_packet_digest.json b/research/experiments/EXP-BATCH-20260909223705-35/analysis/ai_packet_digest.json
new file mode 100644
index 0000000000000000000000000000000000000000..c3422f9b735f03b289e9f7de0c2045138ec62dfd
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-35/analysis/ai_packet_digest.json
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diff --git a/research/experiments/EXP-BATCH-20260909223705-35/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-35/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..c07ebb6f0b584634b1abf368ca1bc9ae6e8425e8
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-35/analysis/statistics.json
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diff --git a/research/experiments/EXP-BATCH-20260909223705-35/manifest.json b/research/experiments/EXP-BATCH-20260909223705-35/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..e2c7013289957cb6d1aa124f18bb161d9b1197b4
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-35/manifest.json
@@ -0,0 +1,138 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "ai_packet": "analysis/ai_packet.json",
+    "ai_packet_digest": "analysis/ai_packet_digest.json",
+    "ai_report_json": "experiments/EXP-BATCH-20260909223705-35/reports/AIRR-2026-0001.json",
+    "ai_report_markdown": "experiments/EXP-BATCH-20260909223705-35/reports/AIRR-2026-0001.md",
+    "current_run": "DATA/current_run.json",
+    "data": "DATA/runs.json",
+    "data_index": "DATA/runs_index.json",
+    "preregistration": "preregistrations/PREREG-REC-001.json",
+    "raw_run_index": "DATA/runs_index.json",
+    "report": "report.md",
+    "statistics": "analysis/statistics.json",
+    "workflow": "workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {
+    "path": "F:\\Brain-5D\\configs\\learning_experiment.yaml",
+    "sha256": "6f6cd457caf6216c286fee47ef03b529a0b496ed2dd53ee96b85d3b51e7b3a1c"
+  },
+  "created_at": "2026-09-10T01:28:45.760836+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "execution_contract": {
+    "hypothesis_id": "H-REC-001-A",
+    "protocol": "recurrence_map_v1",
+    "question_id": "RQ-REC-001",
+    "resolved_runner": "run_recurrence_map",
+    "runtime_runner_bytecode_sha256": "6ca2dbcb20a7d93ba61068175c46ccacc41164031f749bf5da1c88dc0b902fc5",
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+    "source_runner_bytecode_sha256": "6ca2dbcb20a7d93ba61068175c46ccacc41164031f749bf5da1c88dc0b902fc5",
+    "source_runtime_consistency": "MATCH",
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+      "observed_min": 256,
+      "requested_ticks": 256,
+      "status": "SATISFIED"
+    },
+    "ticks_requested": 256
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-35",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
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+  "hypotheses": [
+    "H-REC-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "provenance_digests": {
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+    "prompt": "dd18e473908e7e75b1717c240bac221729ea38753abfd28b701b37b20d5f5e14"
+  },
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+    "RQ-REC-001"
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+  "research_run_mode": "CONFIRMATORY",
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+    "protocol": "recurrence_map_v1",
+    "run_count": 300,
+    "runner": "run_recurrence_map",
+    "tick_contract": {
+      "mode": "minimum_per_run",
+      "observed_max": 256,
+      "observed_min": 256,
+      "requested_ticks": 256,
+      "status": "SATISFIED"
+    },
+    "ticks_requested": 256
+  },
+  "runtime": {
+    "duration_seconds": 0.5824941000028048
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "recurrence_map_v1",
+    "seed": 101,
+    "seeds": [
+      101,
+      102,
+      103,
+      104,
+      105,
+      106,
+      107,
+      108,
+      109,
+      110,
+      111,
+      112,
+      113,
+      114,
+      115,
+      116,
+      117,
+      118,
+      119,
+      120
+    ],
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+  },
+  "software": {
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+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
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+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-35/report.md b/research/experiments/EXP-BATCH-20260909223705-35/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..5ef4590da2480283507b85ae9a4232d31bf1a176
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-35/report.md
@@ -0,0 +1,35 @@
+# EXP-BATCH-20260909223705-35: Experiment workflow: recurrence_map_v1
+
+## Forschungszuordnung
+Forschungsfrage: `RQ-REC-001`
+Hypothese: `H-REC-001-A`
+Aufgeloester Runner: `run_recurrence_map`
+
+## Protokoll und Einstellungen
+Protokoll: `recurrence_map_v1`
+Angeforderte Mindest-Ticks: `256`
+Seeds: `101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120`
+Tick-Vertrag: `{"mode": "minimum_per_run", "observed_max": 256, "observed_min": 256, "requested_ticks": 256, "status": "SATISFIED"}`
+
+## Bedingungen
+Registered protocol conditions
+Runs: 300; Dauer: 0.582494 s
+
+## Daten und Statistik
+Kompakte Run-Projektion: `DATA/runs.json`
+Unveränderlicher Rohdatenindex: `DATA/runs_index.json`
+KI-Eingabepaket: `analysis/ai_packet.json` (hart begrenzt)
+Deterministische deskriptive Statistik: `analysis/statistics.json`
+Die Summary verbindet Rohdaten, Formeln, Einzelruns, Bedingungen, Reproduzierbarkeit und AIRR ohne KI-generierte Statistik.
+
+## Epistemische Ebenen
+UI-Zustand: Dashboard-Steuerung und Fortschritt; kein wissenschaftliches Ergebnis.
+DATA: Rohdaten, Run-Index und deterministische Statistik.
+EVID: nicht erzeugt; Clean Freeze, semantische Zuordnung und Human Review erforderlich.
+Interpretation: nachgelagerte KI-/Human-Interpretation; keine Ausfuehrungseingabe.
+
+## Evidenzstatus
+DATA, Manifest, Workflow und deterministische Statistik sind erzeugt. Wissenschaftliche EVID entsteht erst nach passender semantischer Zuordnung, Clean Freeze und Human Review.
+
+## Hinweise
+Keine.
diff --git a/research/experiments/EXP-BATCH-20260909223705-35/reports/AIRR-2026-0001.json b/research/experiments/EXP-BATCH-20260909223705-35/reports/AIRR-2026-0001.json
new file mode 100644
index 0000000000000000000000000000000000000000..5dae3beeb246d844d546235858d2fea0f95f6347
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-35/reports/AIRR-2026-0001.json
@@ -0,0 +1,5628 @@
+{
+  "report_id": "AIRR-2026-0001",
+  "experiment_id": "EXP-BATCH-20260909223705-35",
+  "research_question_id": "RQ-REC-001",
+  "hypothesis_ids": [
+    "H-REC-001-A"
+  ],
+  "claim_ids": [],
+  "generated_at": "2026-09-10T01:31:47.156695+00:00",
+  "report_schema_version": "1.0",
+  "report_protocol_version": "PROTOCOL-AIRR-001",
+  "generated_by": "artificial_intelligence",
+  "ai_generated": true,
+  "scientific_evidence": false,
+  "human_review_required": true,
+  "status": "review_pending",
+  "content": {
+    "identification": {
+      "experiment": "EXP-BATCH-20260909223705-35",
+      "research_question": "Unter welchen Rekurrenzgewichten und Delays wechselt Brain-5D zwischen sofortigem Erlöschen, transienter rekurrenter Aktivität und bis zum Beobachtungsende persistierender Aktivität?",
+      "hypotheses": [
+        {
+          "id": "H-REC-001-A",
+          "research_question": "RQ-REC-001",
+          "hypothesis": "Rekurrenzgewicht und Delay erzeugen reproduzierbare Übergänge zwischen sofortigem Erlöschen, transienter Aktivität und Aktivität bis zum Ende des registrierten Beobachtungsfensters.",
+          "status": "untested",
+          "evidence": [],
+          "created": "2026-09-05",
+          "updated": "2026-09-05"
+        }
+      ],
+      "date": "2026-09-10",
+      "source_sha": "8184fc74654169e4d01552f093dd807f065c34e3"
+    },
+    "executive_summary": "Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+    "research_question": {
+      "id": "RQ-REC-001",
+      "domain": "Recurrent Dynamics",
+      "question": "Unter welchen Rekurrenzgewichten und Delays wechselt Brain-5D zwischen sofortigem Erlöschen, transienter rekurrenter Aktivität und bis zum Beobachtungsende persistierender Aktivität?",
+      "relevance": "EXP-GEN-0021 zeigte einen klaren rekurrenzabhängigen Dynamikunterschied, aber noch keine Parametergrenze.",
+      "literature": [],
+      "hypotheses": [
+        "H-REC-001-A"
+      ],
+      "evidence": [],
+      "status": "open",
+      "answer": {
+        "current": null,
+        "confidence": "none",
+        "limitations": "Abgeleitet aus EXP-GEN-0021; persistente Aktivität ist nicht gleichbedeutend mit Gedächtnis oder Kognition."
+      },
+      "created": "2026-09-05",
+      "updated": "2026-09-05"
+    },
+    "experimental_design": {
+      "experiment_id": "EXP-BATCH-20260909223705-35",
+      "research_question": "RQ-REC-001",
+      "hypothesis": "H-REC-001-A",
+      "title": "Experiment workflow: recurrence_map_v1",
+      "conditions": "Registered protocol conditions",
+      "ticks": 256,
+      "ticks_contract": "minimum requested observation window",
+      "seeds": [
+        101,
+        102,
+        103,
+        104,
+        105,
+        106,
+        107,
+        108,
+        109,
+        110,
+        111,
+        112,
+        113,
+        114,
+        115,
+        116,
+        117,
+        118,
+        119,
+        120
+      ],
+      "protocol": "recurrence_map_v1",
+      "resolved_runner": "run_recurrence_map",
+      "tick_validation": {
+        "status": "SATISFIED",
+        "mode": "minimum_per_run",
+        "requested_ticks": 256,
+        "observed_min": 256,
+        "observed_max": 256
+      },
+      "notes": "",
+      "execution": "registered experiment_suite runner",
+      "assistant_policy": "AI is post-hoc interpretation only.",
+      "epistemic_layers": {
+        "ui_state": "operator/dashboard progress only; not a scientific result",
+        "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+        "evid": "not_created; requires semantic validation, clean freeze and human review",
+        "interpretation": "post-hoc AI or human interpretation; never execution input"
+      }
+    },
+    "data_basis": {
+      "data": {
+        "ai_input_policy": "compact_only_raw_on_explicit_deterministic_extract",
+        "generated_by": "deterministic_research_data_v2",
+        "limits": {
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+          "run_summary_max_bytes": 5000000,
+          "sequence_preview_items": 16
+        },
+        "raw_index": {
+          "path": "DATA/runs_index.json",
+          "run_count": 300,
+          "sha256": "ff93d62003c6df7e3023808fa0def734907bf3310d486d308fd663a1f4091dd1"
+        },
+        "run_count": 300,
+        "run_preview": {
+          "_projection": "bounded_sequence",
+          "head": [
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+                "path": "DATA/raw/run-0000-w0_d1-seed-101.json.gz",
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+      "configuration_path": "F:\\Brain-5D\\configs\\learning_experiment.yaml",
+      "configuration_sha256": "6f6cd457caf6216c286fee47ef03b529a0b496ed2dd53ee96b85d3b51e7b3a1c",
+      "experiment_manifest_digest": "01ba197996a6fe2c65a0b186281bd3e7eb6dbb2ad94c28f8d11ecff91bf9cf2a",
+      "data_ids": "NOT_AVAILABLE",
+      "evid_ids": "NOT_AVAILABLE",
+      "protocol_id": "NOT_AVAILABLE",
+      "protocol_digest": "a82b7b7802289e71f7d381ac84eadcb3219eaf764d4c1eb2f71a34632d6d2d20",
+      "data_digest": "23af14d384ccbcbfc9afd82ca25d47cc4d871e20aee79e54a5f6ecd116d94bcf",
+      "evid_digests": "[]"
+    },
+    "epistemic_status": {
+      "implementation": "NOT_DETERMINED",
+      "experiment_data": "PRESENT",
+      "registered_evidence": "ABSENT",
+      "ai_interpretation": "PRESENT",
+      "human_review": "PENDING",
+      "claim_support": "NOT_DETERMINED",
+      "rq_status": "IN_PROGRESS"
+    },
+    "ai_confidence": 0.0,
+    "missing_evidence": [
+      "Run the role again with a schema-conforming backend response.",
+      "Complete mandatory human review before interpreting this report."
+    ],
+    "recommended_follow_up": [],
+    "conclusion": "Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+    "human_review": {
+      "status": "PENDING",
+      "reviewer": null,
+      "reviewed_at": null,
+      "disposition": null,
+      "comments": null
+    },
+    "aiar": {
+      "analyst": {
+        "analysis_id": "AIAR-scientific_analyst-20260910012947112176-e1bb28f6",
+        "role": "scientific_analyst",
+        "model": {
+          "provider": "system-fallback",
+          "model_name": "unavailable",
+          "model_digest": "not_applicable",
+          "quantization": "unknown",
+          "context_length": "unknown",
+          "temperature": 0.0,
+          "top_p": 1.0,
+          "seed": "not_reported",
+          "backend_version": "unknown"
+        },
+        "inputs": {
+          "experiment_id": "EXP-BATCH-20260909223705-35",
+          "packet_digest": "e1bb28f67f023d6cc930dab08f2cd444bd04626c6a02cb7e126e3455241447d4"
+        },
+        "output": {
+          "assessment": "Die Rolle scientific_analyst konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+          "observations": [],
+          "effect_direction": "not_determined",
+          "methodological_concerns": [
+            "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+            "Technical reason: TimeoutError: timed out"
+          ],
+          "alternative_explanations": [],
+          "recommended_experiments": [],
+          "requested_evidence": [
+            "Run the role again with a schema-conforming backend response.",
+            "Complete mandatory human review before interpreting this report."
+          ],
+          "confidence": 0.0,
+          "analysis_unavailable": true
+        },
+        "provenance": {
+          "prompt_sha256": "eaf4fbf7a8f82735922efc8aed3471a8960fb73427ffb1d110f9c1ab9ef1c887",
+          "research_packet_digest": "e1bb28f67f023d6cc930dab08f2cd444bd04626c6a02cb7e126e3455241447d4",
+          "prompt_protocol_version": "research_assistant_v1",
+          "assistant_schema_version": "1.2",
+          "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+          "model_self_confidence": "0.0"
+        },
+        "epistemic_status": {
+          "evidence": false,
+          "interpretation_only": true,
+          "human_review_required": true
+        },
+        "review": {
+          "status": "pending",
+          "reviewer": null,
+          "reviewed_at": null,
+          "disposition": null
+        },
+        "generated_at": "2026-09-10T01:29:47.112176+00:00"
+      },
+      "reviewer": {
+        "analysis_id": "AIAR-critical_reviewer-20260910013047134097-e1bb28f6",
+        "role": "critical_reviewer",
+        "model": {
+          "provider": "system-fallback",
+          "model_name": "unavailable",
+          "model_digest": "not_applicable",
+          "quantization": "unknown",
+          "context_length": "unknown",
+          "temperature": 0.0,
+          "top_p": 1.0,
+          "seed": "not_reported",
+          "backend_version": "unknown"
+        },
+        "inputs": {
+          "experiment_id": "EXP-BATCH-20260909223705-35",
+          "packet_digest": "e1bb28f67f023d6cc930dab08f2cd444bd04626c6a02cb7e126e3455241447d4"
+        },
+        "output": {
+          "assessment": "Die Rolle critical_reviewer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+          "observations": [],
+          "effect_direction": "not_determined",
+          "methodological_concerns": [
+            "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+            "Technical reason: TimeoutError: timed out"
+          ],
+          "alternative_explanations": [],
+          "recommended_experiments": [],
+          "requested_evidence": [
+            "Run the role again with a schema-conforming backend response.",
+            "Complete mandatory human review before interpreting this report."
+          ],
+          "confidence": 0.0,
+          "analysis_unavailable": true
+        },
+        "provenance": {
+          "prompt_sha256": "2f3a6f30dab8a2b2ab6ca644619a84ca863c4f4b5d2cc1469267e81d45173edc",
+          "research_packet_digest": "e1bb28f67f023d6cc930dab08f2cd444bd04626c6a02cb7e126e3455241447d4",
+          "prompt_protocol_version": "research_assistant_v1",
+          "assistant_schema_version": "1.2",
+          "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+          "model_self_confidence": "0.0"
+        },
+        "epistemic_status": {
+          "evidence": false,
+          "interpretation_only": true,
+          "human_review_required": true
+        },
+        "review": {
+          "status": "pending",
+          "reviewer": null,
+          "reviewed_at": null,
+          "disposition": null
+        },
+        "generated_at": "2026-09-10T01:30:47.134097+00:00"
+      },
+      "writer": {
+        "analysis_id": "AIAR-scientific_writer-20260910013147151285-e1bb28f6",
+        "role": "scientific_writer",
+        "model": {
+          "provider": "system-fallback",
+          "model_name": "unavailable",
+          "model_digest": "not_applicable",
+          "quantization": "unknown",
+          "context_length": "unknown",
+          "temperature": 0.0,
+          "top_p": 1.0,
+          "seed": "not_reported",
+          "backend_version": "unknown"
+        },
+        "inputs": {
+          "experiment_id": "EXP-BATCH-20260909223705-35",
+          "packet_digest": "e1bb28f67f023d6cc930dab08f2cd444bd04626c6a02cb7e126e3455241447d4"
+        },
+        "output": {
+          "assessment": "Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+          "observations": [],
+          "effect_direction": "not_determined",
+          "methodological_concerns": [
+            "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+            "Technical reason: TimeoutError: timed out"
+          ],
+          "alternative_explanations": [],
+          "recommended_experiments": [],
+          "requested_evidence": [
+            "Run the role again with a schema-conforming backend response.",
+            "Complete mandatory human review before interpreting this report."
+          ],
+          "confidence": 0.0,
+          "analysis_unavailable": true
+        },
+        "provenance": {
+          "prompt_sha256": "b3006a85b27cff4dee40928f99a14af1f74387629ab5904af0e9429dda01e992",
+          "research_packet_digest": "e1bb28f67f023d6cc930dab08f2cd444bd04626c6a02cb7e126e3455241447d4",
+          "prompt_protocol_version": "research_assistant_v1",
+          "assistant_schema_version": "1.2",
+          "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+          "model_self_confidence": "0.0"
+        },
+        "epistemic_status": {
+          "evidence": false,
+          "interpretation_only": true,
+          "human_review_required": true
+        },
+        "review": {
+          "status": "pending",
+          "reviewer": null,
+          "reviewed_at": null,
+          "disposition": null
+        },
+        "generated_at": "2026-09-10T01:31:47.151285+00:00"
+      }
+    }
+  },
+  "provenance": {
+    "research_packet_digest": "e1bb28f67f023d6cc930dab08f2cd444bd04626c6a02cb7e126e3455241447d4",
+    "source": {
+      "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+      "experiment_status": "completed",
+      "evidence_mode": "not_reported",
+      "git_dirty": "True",
+      "source_freeze_sha": "b1fcf44ba863e4cf27a5c0fb57e5dc43d163caeeda63506eaa53595ced7e0d0a",
+      "configuration_path": "F:\\Brain-5D\\configs\\learning_experiment.yaml",
+      "configuration_sha256": "6f6cd457caf6216c286fee47ef03b529a0b496ed2dd53ee96b85d3b51e7b3a1c",
+      "experiment_manifest_digest": "01ba197996a6fe2c65a0b186281bd3e7eb6dbb2ad94c28f8d11ecff91bf9cf2a",
+      "data_ids": "NOT_AVAILABLE",
+      "evid_ids": "NOT_AVAILABLE",
+      "protocol_id": "NOT_AVAILABLE",
+      "protocol_digest": "a82b7b7802289e71f7d381ac84eadcb3219eaf764d4c1eb2f71a34632d6d2d20",
+      "data_digest": "23af14d384ccbcbfc9afd82ca25d47cc4d871e20aee79e54a5f6ecd116d94bcf",
+      "evid_digests": "[]"
+    }
+  },
+  "analysis_ids": [
+    "AIAR-scientific_analyst-20260910012947112176-e1bb28f6",
+    "AIAR-critical_reviewer-20260910013047134097-e1bb28f6",
+    "AIAR-scientific_writer-20260910013147151285-e1bb28f6"
+  ],
+  "supersedes": null,
+  "content_digest": "78771d4a87092c9e85950dc88d99e399a08c151c3054ed25aa66a0d1c2519f5f",
+  "markdown_digest": "ce1a249a266ea8607ca2d2c0a4d7879be2fc345830280c9254f2b6af88c2db5d"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-35/reports/AIRR-2026-0001.md b/research/experiments/EXP-BATCH-20260909223705-35/reports/AIRR-2026-0001.md
new file mode 100644
index 0000000000000000000000000000000000000000..9c335474db6b58a593ce0a30bb73589d7d04f62c
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-35/reports/AIRR-2026-0001.md
@@ -0,0 +1,5493 @@
+============================================================
+BRAIN-5D - AI GENERATED SCIENTIFIC ANALYSIS
+============================================================
+
+Dieser Bericht wurde durch ein kuenstliches Intelligenzsystem erzeugt.
+
+Er stellt eine wissenschaftliche Interpretation von MHRN-Forschungsdaten dar.
+
+Er ist KEINE wissenschaftliche Evidenz.
+
+Er wurde zum Zeitpunkt der Erstellung noch nicht automatisch durch einen Menschen bestaetigt.
+
+Human Review Status: PENDING
+============================================================
+
+# AI Research Report AIRR-2026-0001
+
+Status: review_pending | Experiment: EXP-BATCH-20260909223705-35
+Research Question: RQ-REC-001
+## Executive Summary
+
+```json
+"Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor."
+```
+
+## Research Question
+
+```json
+{
+  "id": "RQ-REC-001",
+  "domain": "Recurrent Dynamics",
+  "question": "Unter welchen Rekurrenzgewichten und Delays wechselt Brain-5D zwischen sofortigem Erlöschen, transienter rekurrenter Aktivität und bis zum Beobachtungsende persistierender Aktivität?",
+  "relevance": "EXP-GEN-0021 zeigte einen klaren rekurrenzabhängigen Dynamikunterschied, aber noch keine Parametergrenze.",
+  "literature": [],
+  "hypotheses": [
+    "H-REC-001-A"
+  ],
+  "evidence": [],
+  "status": "open",
+  "answer": {
+    "current": null,
+    "confidence": "none",
+    "limitations": "Abgeleitet aus EXP-GEN-0021; persistente Aktivität ist nicht gleichbedeutend mit Gedächtnis oder Kognition."
+  },
+  "created": "2026-09-05",
+  "updated": "2026-09-05"
+}
+```
+
+## Experimental Design
+
+```json
+{
+  "experiment_id": "EXP-BATCH-20260909223705-35",
+  "research_question": "RQ-REC-001",
+  "hypothesis": "H-REC-001-A",
+  "title": "Experiment workflow: recurrence_map_v1",
+  "conditions": "Registered protocol conditions",
+  "ticks": 256,
+  "ticks_contract": "minimum requested observation window",
+  "seeds": [
+    101,
+    102,
+    103,
+    104,
+    105,
+    106,
+    107,
+    108,
+    109,
+    110,
+    111,
+    112,
+    113,
+    114,
+    115,
+    116,
+    117,
+    118,
+    119,
+    120
+  ],
+  "protocol": "recurrence_map_v1",
+  "resolved_runner": "run_recurrence_map",
+  "tick_validation": {
+    "status": "SATISFIED",
+    "mode": "minimum_per_run",
+    "requested_ticks": 256,
+    "observed_min": 256,
+    "observed_max": 256
+  },
+  "notes": "",
+  "execution": "registered experiment_suite runner",
+  "assistant_policy": "AI is post-hoc interpretation only.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
+```
+
+## Data Basis
+
+```json
+{
+  "data": {
+    "ai_input_policy": "compact_only_raw_on_explicit_deterministic_extract",
+    "generated_by": "deterministic_research_data_v2",
+    "limits": {
+      "ai_packet_max_bytes": 1000000,
+      "run_summary_max_bytes": 5000000,
+      "sequence_preview_items": 16
+    },
+    "raw_index": {
+      "path": "DATA/runs_index.json",
+      "run_count": 300,
+      "sha256": "ff93d62003c6df7e3023808fa0def734907bf3310d486d308fd663a1f4091dd1"
+    },
+    "run_count": 300,
+    "run_preview": {
+      "_projection": "bounded_sequence",
+      "head": [
+        {
+          "_raw_artifact": {
+            "format": "json.gz",
+            "path": "DATA/raw/run-0000-w0_d1-seed-101.json.gz",
+            "sha256": "d7ee1b47bc760f9de4550bf2163d89d8103a60e2d9a31feefd29a0291259058f",
+            "size_bytes": 544,
+            "uncompressed_bytes": 1048
+          },
+          "condition": "w0_d1",
+          "experiment_id": "EXP-BATCH-20260909223705-35",
+          "metrics": {
+            "activated_neurons": 3,
+            "activity_fraction": 0.0078125,
+            "delivered_synaptic_events": 2,
+            "first_response_latency": 2,
+            "last_response_latency": 2,
+            "max_synaptic_current_targets": 1,
+            "network_state_digest_after": "73f066f74a6fef6cefa74a2abf1ca915888f6d3a01334af4e7830d7891d68c01",
+            "network_state_digest_before": "1771a5db39762c3f7493abcddc6e461322470687395291a7b18bfb719f8ac27f",
+            "peak_spike_rate": 1.0,
+            "persistence_class": "immediate_decay",
+            "propagation_depth": 1,
+            "recurrent_delay": 1,
+            "recurrent_events": 0,
+            "recurrent_weight": 0.0,
+            "return_latency": null,
+            "spike_sequence": [
+              {
+                "neuron_id": 0,
+                "tick": 0
+              },
+              {
+                "neuron_id": 1,
+                "tick": 1
+              },
+              {
+                "neuron_id": 2,
+                "tick": 2
+              }
+            ],
+            "stopped_on_quiescence": false,
+            "synaptic_activity_ticks": 2,
+            "ticks_executed": 256,
+            "ticks_requested": 256,
+            "total_spikes": 3,
+            "total_synapses": 2
+          },
+          "runtime_error": null,
+          "seed": 101,
+          "state_digest_after": "73f066f74a6fef6cefa74a2abf1ca915888f6d3a01334af4e7830d7891d68c01",
+          "state_digest_before": "1771a5db39762c3f7493abcddc6e461322470687395291a7b18bfb719f8ac27f"
+        },
+        {
+          "_raw_artifact": {
+            "format": "json.gz",
+            "path": "DATA/raw/run-0001-w0_d2-seed-101.json.gz",
+            "sha256": "50a27acc5de82977a5bc0fca5fe704f974220c3476fb31bc7b16c39334f60f28",
+            "size_bytes": 544,
+            "uncompressed_bytes": 1048
+          },
+          "condition": "w0_d2",
+          "experiment_id": "EXP-BATCH-20260909223705-35",
+          "metrics": {
+            "activated_neurons": 3,
+            "activity_fraction": 0.0078125,
+            "delivered_synaptic_events": 2,
+            "first_response_latency": 2,
+            "last_response_latency": 2,
+            "max_synaptic_current_targets": 1,
+            "network_state_digest_after": "73f066f74a6fef6cefa74a2abf1ca915888f6d3a01334af4e7830d7891d68c01",
+            "network_state_digest_before": "1771a5db39762c3f7493abcddc6e461322470687395291a7b18bfb719f8ac27f",
+            "peak_spike_rate": 1.0,
+            "persistence_class": "immediate_decay",
+            "propagation_depth": 1,
+            "recurrent_delay": 2,
+            "recurrent_events": 0,
+            "recurrent_weight": 0.0,
+            "return_latency": null,
+            "spike_sequence": [
+              {
+                "neuron_id": 0,
+                "tick": 0
+              },
+              {
+                "neuron_id": 1,
+                "tick": 1
+              },
+              {
+                "neuron_id": 2,
+                "tick": 2
+              }
+            ],
+            "stopped_on_quiescence": false,
+            "synaptic_activity_ticks": 2,
+            "ticks_executed": 256,
+            "ticks_requested": 256,
+            "total_spikes": 3,
+            "total_synapses": 2
+          },
+          "runtime_error": null,
+          "seed": 101,
+          "state_digest_after": "73f066f74a6fef6cefa74a2abf1ca915888f6d3a01334af4e7830d7891d68c01",
+          "state_digest_before": "1771a5db39762c3f7493abcddc6e461322470687395291a7b18bfb719f8ac27f"
+        },
+        {
+          "_raw_artifact": {
+            "format": "json.gz",
+            "path": "DATA/raw/run-0002-w0_d4-seed-101.json.gz",
+            "sha256": "71a2a2ccf2b03dc93f498e4c92842801141ac04096b14a7aaef1f153af48aa38",
+            "size_bytes": 545,
+            "uncompressed_bytes": 1048
+          },
+          "condition": "w0_d4",
+          "experiment_id": "EXP-BATCH-20260909223705-35",
+          "metrics": {
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+            "activity_fraction": 0.0078125,
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+            "last_response_latency": 2,
+            "max_synaptic_current_targets": 1,
+            "network_state_digest_after": "73f066f74a6fef6cefa74a2abf1ca915888f6d3a01334af4e7830d7891d68c01",
+            "network_state_digest_before": "1771a5db39762c3f7493abcddc6e461322470687395291a7b18bfb719f8ac27f",
+            "peak_spike_rate": 1.0,
+            "persistence_class": "immediate_decay",
+            "propagation_depth": 1,
+            "recurrent_delay": 4,
+            "recurrent_events": 0,
+            "recurrent_weight": 0.0,
+            "return_latency": null,
+            "spike_sequence": [
+              {
+                "neuron_id": 0,
+                "tick": 0
+              },
+              {
+                "neuron_id": 1,
+                "tick": 1
+              },
+              {
+                "neuron_id": 2,
+                "tick": 2
+              }
+            ],
+            "stopped_on_quiescence": false,
+            "synaptic_activity_ticks": 2,
+            "ticks_executed": 256,
+            "ticks_requested": 256,
+            "total_spikes": 3,
+            "total_synapses": 2
+          },
+          "runtime_error": null,
+          "seed": 101,
+          "state_digest_after": "73f066f74a6fef6cefa74a2abf1ca915888f6d3a01334af4e7830d7891d68c01",
+          "state_digest_before": "1771a5db39762c3f7493abcddc6e461322470687395291a7b18bfb719f8ac27f"
+        },
+        {
+          "_raw_artifact": {
+            "format": "json.gz",
+            "path": "DATA/raw/run-0003-w50_d1-seed-101.json.gz",
+            "sha256": "8e6daff0f271a5bf8fdeb61d031d1e7820e7ef2ec523df4ba3af775b97345331",
+            "size_bytes": 562,
+            "uncompressed_bytes": 1117
+          },
+          "condition": "w50_d1",
+          "experiment_id": "EXP-BATCH-20260909223705-35",
+          "metrics": {
+            "activated_neurons": 3,
+            "activity_fraction": 0.02734375,
+            "delivered_synaptic_events": 6,
+            "first_response_latency": 2,
+            "last_response_latency": 7,
+            "max_synaptic_current_targets": 1,
+            "network_state_digest_after": "61aa7d88408f526645cdb4d7b80c646ba36776363e18c13933764ea77912f82e",
+            "network_state_digest_before": "b8b97af2e21d6d54e0e373444b180f79281447ef30391ac88ee0670354f9c9a7",
+            "peak_spike_rate": 1.0,
+            "persistence_class": "transient",
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+          "std": 0.8
+        },
+        "w50_d2": {
+          "max": 4.0,
+          "mean": 1.6,
+          "median": 1.0,
+          "min": 1.0,
+          "n": 100,
+          "std": 1.2
+        },
+        "w50_d4": {
+          "max": 6.0,
+          "mean": 2.0,
+          "median": 1.0,
+          "min": 1.0,
+          "n": 100,
+          "std": 2.0
+        },
+        "w75_d1": {
+          "max": 3.0,
+          "mean": 1.7857142857142858,
+          "median": 2.0,
+          "min": 1.0,
+          "n": 280,
+          "std": 0.5578749768504753
+        },
+        "w75_d2": {
+          "max": 4.0,
+          "mean": 2.0714285714285716,
+          "median": 2.0,
+          "min": 1.0,
+          "n": 280,
+          "std": 0.8835226340609272
+        },
+        "w75_d4": {
+          "max": 7.0,
+          "mean": 2.85,
+          "median": 2.0,
+          "min": 1.0,
+          "n": 400,
+          "std": 1.8241436346954698
+        }
+      },
+      "run_count": 300,
+      "schema_version": "2.0"
+    }
+  },
+  "evid": [],
+  "literature": []
+}
+```
+
+## Quantitative Results
+
+```json
+{
+  "conditions": {
+    "w0_d1": {
+      "metrics": {
+        "activated_neurons": {
+          "max": 3.0,
+          "mean": 3.0,
+          "median": 3.0,
+          "min": 3.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "delivered_synaptic_events": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "first_response_latency": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "last_response_latency": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "propagation_depth": {
+          "max": 1.0,
+          "mean": 1.0,
+          "median": 1.0,
+          "min": 1.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "recurrent_events": {
+          "max": 0.0,
+          "mean": 0.0,
+          "median": 0.0,
+          "min": 0.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "synaptic_activity_ticks": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "ticks_executed": {
+          "max": 256.0,
+          "mean": 256.0,
+          "median": 256.0,
+          "min": 256.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "total_spikes": {
+          "max": 3.0,
+          "mean": 3.0,
+          "median": 3.0,
+          "min": 3.0,
+          "n": 20,
+          "std": 0.0
+        }
+      },
+      "run_count": 20,
+      "seeds": [
+        101,
+        102,
+        103,
+        104,
+        105,
+        106,
+        107,
+        108,
+        109,
+        110,
+        111,
+        112,
+        113,
+        114,
+        115,
+        116,
+        117,
+        118,
+        119,
+        120
+      ]
+    },
+    "w0_d2": {
+      "metrics": {
+        "activated_neurons": {
+          "max": 3.0,
+          "mean": 3.0,
+          "median": 3.0,
+          "min": 3.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "delivered_synaptic_events": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "first_response_latency": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "last_response_latency": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "propagation_depth": {
+          "max": 1.0,
+          "mean": 1.0,
+          "median": 1.0,
+          "min": 1.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "recurrent_events": {
+          "max": 0.0,
+          "mean": 0.0,
+          "median": 0.0,
+          "min": 0.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "synaptic_activity_ticks": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "ticks_executed": {
+          "max": 256.0,
+          "mean": 256.0,
+          "median": 256.0,
+          "min": 256.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "total_spikes": {
+          "max": 3.0,
+          "mean": 3.0,
+          "median": 3.0,
+          "min": 3.0,
+          "n": 20,
+          "std": 0.0
+        }
+      },
+      "run_count": 20,
+      "seeds": [
+        101,
+        102,
+        103,
+        104,
+        105,
+        106,
+        107,
+        108,
+        109,
+        110,
+        111,
+        112,
+        113,
+        114,
+        115,
+        116,
+        117,
+        118,
+        119,
+        120
+      ]
+    },
+    "w0_d4": {
+      "metrics": {
+        "activated_neurons": {
+          "max": 3.0,
+          "mean": 3.0,
+          "median": 3.0,
+          "min": 3.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "delivered_synaptic_events": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "first_response_latency": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "last_response_latency": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "propagation_depth": {
+          "max": 1.0,
+          "mean": 1.0,
+          "median": 1.0,
+          "min": 1.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "recurrent_events": {
+          "max": 0.0,
+          "mean": 0.0,
+          "median": 0.0,
+          "min": 0.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "synaptic_activity_ticks": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "ticks_executed": {
+          "max": 256.0,
+          "mean": 256.0,
+          "median": 256.0,
+          "min": 256.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "total_spikes": {
+          "max": 3.0,
+          "mean": 3.0,
+          "median": 3.0,
+          "min": 3.0,
+          "n": 20,
+          "std": 0.0
+        }
+      },
+      "run_count": 20,
+      "seeds": [
+        101,
+        102,
+        103,
+        104,
+        105,
+        106,
+        107,
+        108,
+        109,
+        110,
+        111,
+        112,
+        113,
+        114,
+        115,
+        116,
+        117,
+        118,
+        119,
+        120
+      ]
+    },
+    "w100_d1": {
+      "metrics": {
+        "activated_neurons": {
+          "max": 3.0,
+          "mean": 3.0,
+          "median": 3.0,
+          "min": 3.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "delivered_synaptic_events": {
+          "max": 33.0,
+          "mean": 33.0,
+          "median": 33.0,
+          "min": 33.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "first_response_latency": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "last_response_latency": {
+          "max": 62.0,
+          "mean": 62.0,
+          "median": 62.0,
+          "min": 62.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "propagation_depth": {
+          "max": 61.0,
+          "mean": 61.0,
+          "median": 61.0,
+          "min": 61.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "recurrent_events": {
+          "max": 10.0,
+          "mean": 10.0,
+          "median": 10.0,
+          "min": 10.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "return_latency": {
+          "max": 3.0,
+          "mean": 3.0,
+          "median": 3.0,
+          "min": 3.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "synaptic_activity_ticks": {
+          "max": 33.0,
+          "mean": 33.0,
+          "median": 33.0,
+          "min": 33.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "ticks_executed": {
+          "max": 256.0,
+          "mean": 256.0,
+          "median": 256.0,
+          "min": 256.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "total_spikes": {
+          "max": 33.0,
+          "mean": 33.0,
+          "median": 33.0,
+          "min": 33.0,
+          "n": 20,
+          "std": 0.0
+        }
+      },
+      "run_count": 20,
+      "seeds": [
+        101,
+        102,
+        103,
+        104,
+        105,
+        106,
+        107,
+        108,
+        109,
+        110,
+        111,
+        112,
+        113,
+        114,
+        115,
+        116,
+        117,
+        118,
+        119,
+        120
+      ]
+    },
+    "w100_d2": {
+      "metrics": {
+        "activated_neurons": {
+          "max": 3.0,
+          "mean": 3.0,
+          "median": 3.0,
+          "min": 3.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "delivered_synaptic_events": {
+          "max": 102.0,
+          "mean": 102.0,
+          "median": 102.0,
+          "min": 102.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "first_response_latency": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "last_response_latency": {
+          "max": 252.0,
+          "mean": 252.0,
+          "median": 252.0,
+          "min": 252.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "propagation_depth": {
+          "max": 251.0,
+          "mean": 251.0,
+          "median": 251.0,
+          "min": 251.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "recurrent_events": {
+          "max": 33.0,
+          "mean": 33.0,
+          "median": 33.0,
+          "min": 33.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "return_latency": {
+          "max": 4.0,
+          "mean": 4.0,
+          "median": 4.0,
+          "min": 4.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "synaptic_activity_ticks": {
+          "max": 102.0,
+          "mean": 102.0,
+          "median": 102.0,
+          "min": 102.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "ticks_executed": {
+          "max": 256.0,
+          "mean": 256.0,
+          "median": 256.0,
+          "min": 256.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "total_spikes": {
+          "max": 102.0,
+          "mean": 102.0,
+          "median": 102.0,
+          "min": 102.0,
+          "n": 20,
+          "std": 0.0
+        }
+      },
+      "run_count": 20,
+      "seeds": [
+        101,
+        102,
+        103,
+        104,
+        105,
+        106,
+        107,
+        108,
+        109,
+        110,
+        111,
+        112,
+        113,
+        114,
+        115,
+        116,
+        117,
+        118,
+        119,
+        120
+      ]
+    },
+    "w100_d4": {
+      "metrics": {
+        "activated_neurons": {
+          "max": 3.0,
+          "mean": 3.0,
+          "median": 3.0,
+          "min": 3.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "delivered_synaptic_events": {
+          "max": 87.0,
+          "mean": 87.0,
+          "median": 87.0,
+          "min": 87.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "first_response_latency": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "last_response_latency": {
+          "max": 251.0,
+          "mean": 251.0,
+          "median": 251.0,
+          "min": 251.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "propagation_depth": {
+          "max": 250.0,
+          "mean": 250.0,
+          "median": 250.0,
+          "min": 250.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "recurrent_events": {
+          "max": 28.0,
+          "mean": 28.0,
+          "median": 28.0,
+          "min": 28.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "return_latency": {
+          "max": 6.0,
+          "mean": 6.0,
+          "median": 6.0,
+          "min": 6.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "synaptic_activity_ticks": {
+          "max": 87.0,
+          "mean": 87.0,
+          "median": 87.0,
+          "min": 87.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "ticks_executed": {
+          "max": 256.0,
+          "mean": 256.0,
+          "median": 256.0,
+          "min": 256.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "total_spikes": {
+          "max": 87.0,
+          "mean": 87.0,
+          "median": 87.0,
+          "min": 87.0,
+          "n": 20,
+          "std": 0.0
+        }
+      },
+      "run_count": 20,
+      "seeds": [
+        101,
+        102,
+        103,
+        104,
+        105,
+        106,
+        107,
+        108,
+        109,
+        110,
+        111,
+        112,
+        113,
+        114,
+        115,
+        116,
+        117,
+        118,
+        119,
+        120
+      ]
+    },
+    "w125_d1": {
+      "metrics": {
+        "activated_neurons": {
+          "max": 3.0,
+          "mean": 3.0,
+          "median": 3.0,
+          "min": 3.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "delivered_synaptic_events": {
+          "max": 43.0,
+          "mean": 43.0,
+          "median": 43.0,
+          "min": 43.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "first_response_latency": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "last_response_latency": {
+          "max": 84.0,
+          "mean": 84.0,
+          "median": 84.0,
+          "min": 84.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "propagation_depth": {
+          "max": 83.0,
+          "mean": 83.0,
+          "median": 83.0,
+          "min": 83.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "recurrent_events": {
+          "max": 14.0,
+          "mean": 14.0,
+          "median": 14.0,
+          "min": 14.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "return_latency": {
+          "max": 3.0,
+          "mean": 3.0,
+          "median": 3.0,
+          "min": 3.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "synaptic_activity_ticks": {
+          "max": 43.0,
+          "mean": 43.0,
+          "median": 43.0,
+          "min": 43.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "ticks_executed": {
+          "max": 256.0,
+          "mean": 256.0,
+          "median": 256.0,
+          "min": 256.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "total_spikes": {
+          "max": 43.0,
+          "mean": 43.0,
+          "median": 43.0,
+          "min": 43.0,
+          "n": 20,
+          "std": 0.0
+        }
+      },
+      "run_count": 20,
+      "seeds": [
+        101,
+        102,
+        103,
+        104,
+        105,
+        106,
+        107,
+        108,
+        109,
+        110,
+        111,
+        112,
+        113,
+        114,
+        115,
+        116,
+        117,
+        118,
+        119,
+        120
+      ]
+    },
+    "w125_d2": {
+      "metrics": {
+        "activated_neurons": {
+          "max": 3.0,
+          "mean": 3.0,
+          "median": 3.0,
+          "min": 3.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "delivered_synaptic_events": {
+          "max": 104.0,
+          "mean": 104.0,
+          "median": 104.0,
+          "min": 104.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "first_response_latency": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "last_response_latency": {
+          "max": 255.0,
+          "mean": 255.0,
+          "median": 255.0,
+          "min": 255.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "propagation_depth": {
+          "max": 254.0,
+          "mean": 254.0,
+          "median": 254.0,
+          "min": 254.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "recurrent_events": {
+          "max": 34.0,
+          "mean": 34.0,
+          "median": 34.0,
+          "min": 34.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "return_latency": {
+          "max": 4.0,
+          "mean": 4.0,
+          "median": 4.0,
+          "min": 4.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "synaptic_activity_ticks": {
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+          "median": 104.0,
+          "min": 104.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "ticks_executed": {
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+          "min": 256.0,
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+        },
+        "total_spikes": {
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+          "mean": 105.0,
+          "median": 105.0,
+          "min": 105.0,
+          "n": 20,
+          "std": 0.0
+        }
+      },
+      "run_count": 20,
+      "seeds": [
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+        102,
+        103,
+        104,
+        105,
+        106,
+        107,
+        108,
+        109,
+        110,
+        111,
+        112,
+        113,
+        114,
+        115,
+        116,
+        117,
+        118,
+        119,
+        120
+      ]
+    },
+    "w125_d4": {
+      "metrics": {
+        "activated_neurons": {
+          "max": 3.0,
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+      "n": 280,
+      "std": 0.8835226340609272
+    },
+    "w75_d4": {
+      "max": 7.0,
+      "mean": 2.85,
+      "median": 2.0,
+      "min": 1.0,
+      "n": 400,
+      "std": 1.8241436346954698
+    }
+  },
+  "run_count": 300,
+  "schema_version": "2.0"
+}
+```
+
+## Observations
+
+```json
+[]
+```
+
+## Interpretation
+
+```json
+{
+  "assessment": "Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+  "observations": [],
+  "effect_direction": "not_determined",
+  "methodological_concerns": [
+    "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+    "Technical reason: TimeoutError: timed out"
+  ],
+  "alternative_explanations": [],
+  "recommended_experiments": [],
+  "requested_evidence": [
+    "Run the role again with a schema-conforming backend response.",
+    "Complete mandatory human review before interpreting this report."
+  ],
+  "confidence": 0.0,
+  "analysis_unavailable": true
+}
+```
+
+## Methodological Critique
+
+```json
+[
+  "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+  "Technical reason: TimeoutError: timed out"
+]
+```
+
+## Alternative Explanations
+
+```json
+[]
+```
+
+## Reproducibility
+
+```json
+{
+  "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+  "experiment_status": "completed",
+  "evidence_mode": "not_reported",
+  "git_dirty": "True",
+  "source_freeze_sha": "b1fcf44ba863e4cf27a5c0fb57e5dc43d163caeeda63506eaa53595ced7e0d0a",
+  "configuration_path": "F:\\Brain-5D\\configs\\learning_experiment.yaml",
+  "configuration_sha256": "6f6cd457caf6216c286fee47ef03b529a0b496ed2dd53ee96b85d3b51e7b3a1c",
+  "experiment_manifest_digest": "01ba197996a6fe2c65a0b186281bd3e7eb6dbb2ad94c28f8d11ecff91bf9cf2a",
+  "data_ids": "NOT_AVAILABLE",
+  "evid_ids": "NOT_AVAILABLE",
+  "protocol_id": "NOT_AVAILABLE",
+  "protocol_digest": "a82b7b7802289e71f7d381ac84eadcb3219eaf764d4c1eb2f71a34632d6d2d20",
+  "data_digest": "23af14d384ccbcbfc9afd82ca25d47cc4d871e20aee79e54a5f6ecd116d94bcf",
+  "evid_digests": "[]"
+}
+```
+
+## Epistemic Status
+
+```json
+{
+  "implementation": "NOT_DETERMINED",
+  "experiment_data": "PRESENT",
+  "registered_evidence": "ABSENT",
+  "ai_interpretation": "PRESENT",
+  "human_review": "PENDING",
+  "claim_support": "NOT_DETERMINED",
+  "rq_status": "IN_PROGRESS"
+}
+```
+
+## Missing Evidence
+
+```json
+[
+  "Run the role again with a schema-conforming backend response.",
+  "Complete mandatory human review before interpreting this report."
+]
+```
+
+## Recommended Follow-up Experiments
+
+```json
+[]
+```
+
+## Conclusion
+
+```json
+"Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor."
+```
+
+## Human Review
+
+```json
+{
+  "status": "PENDING",
+  "reviewer": null,
+  "reviewed_at": null,
+  "disposition": null,
+  "comments": null
+}
+```
+
+AI confidence: 0.0
+This value describes internal AI confidence and is not a statistical confidence interval.
+
+Content digest: 78771d4a87092c9e85950dc88d99e399a08c151c3054ed25aa66a0d1c2519f5f
+JSON/Markdown link digest: ce1a249a266ea8607ca2d2c0a4d7879be2fc345830280c9254f2b6af88c2db5d
diff --git a/research/experiments/EXP-BATCH-20260909223705-35/reports/AIRR-2026-0001.review.json b/research/experiments/EXP-BATCH-20260909223705-35/reports/AIRR-2026-0001.review.json
new file mode 100644
index 0000000000000000000000000000000000000000..36b630644f77d5eef8c566afec7f757722070717
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-35/reports/AIRR-2026-0001.review.json
@@ -0,0 +1,8 @@
+{
+  "report_id": "AIRR-2026-0001",
+  "review_status": "accepted_as_interpretation",
+  "reviewer": "Thomas Heisig",
+  "reviewed_at": "2026-09-10T06:05:16.623052+00:00",
+  "comments": "Fehler",
+  "report_content_digest": "78771d4a87092c9e85950dc88d99e399a08c151c3054ed25aa66a0d1c2519f5f"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-35/summary.md b/research/experiments/EXP-BATCH-20260909223705-35/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..947e22104e5f27edbbf7340a1ffdde71a4725399
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-35/summary.md
@@ -0,0 +1,755 @@
+# EXP-BATCH-20260909223705-35: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-REC-001`
+- Hypothese: `H-REC-001-A`
+- Protokoll: `recurrence_map_v1`
+- Durchlaeufe: `300`
+- Seeds: `[101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120]`
+- Angeforderte Ticks: `256`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `256 .. 256` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `CONFIRMATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `DIRECT_MATCH`
+- Evidence Readiness: `BLOCKED_DIRTY_SOURCE_TREE`
+- Begründung: REC-001 erwartet eine registrierte Rekurrenz-Gewicht/Delay-Karte mit Nullkontrolle.
+- Beobachtete Conditions: `w0_d1, w0_d2, w0_d4, w100_d1, w100_d2, w100_d4, w125_d1, w125_d2, w125_d4, w50_d1, w50_d2, w50_d4, w75_d1, w75_d2, w75_d4`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: recurrence_map_v1
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `F:\Brain-5D\configs\learning_experiment.yaml`
+- Config SHA-256: `6f6cd457caf6216c286fee47ef03b529a0b496ed2dd53ee96b85d3b51e7b3a1c`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `0.5824941000028048` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| w0_d1 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | 256 | 3 | 2 | 3 | 0 | 1 |
+| w0_d2 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | 256 | 3 | 2 | 3 | 0 | 1 |
+| w0_d4 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | 256 | 3 | 2 | 3 | 0 | 1 |
+| w100_d1 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | 256 | 33 | 33 | 3 | 10 | 61 |
+| w100_d2 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | 256 | 102 | 102 | 3 | 33 | 251 |
+| w100_d4 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | 256 | 87 | 87 | 3 | 28 | 250 |
+| w125_d1 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | 256 | 43 | 43 | 3 | 14 | 83 |
+| w125_d2 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | 256 | 105 | 104 | 3 | 34 | 254 |
+| w125_d4 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | 256 | 91 | 90 | 3 | 30 | 249 |
+| w50_d1 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | 256 | 6 | 6 | 3 | 1 | 6 |
+| w50_d2 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | 256 | 6 | 6 | 3 | 1 | 7 |
+| w50_d4 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | 256 | 6 | 6 | 3 | 1 | 9 |
+| w75_d1 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | 256 | 15 | 15 | 3 | 4 | 24 |
+| w75_d2 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | 256 | 15 | 15 | 3 | 4 | 28 |
+| w75_d4 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | 256 | 21 | 21 | 3 | 6 | 56 |
+
+### 5.2 Inter-Spike-Intervalle
+
+- `w0_d1`: n=40, mean=1, median=1, min=1, max=1 Ticks.
+- `w0_d2`: n=40, mean=1, median=1, min=1, max=1 Ticks.
+- `w0_d4`: n=40, mean=1, median=1, min=1, max=1 Ticks.
+- `w100_d1`: n=640, mean=1.9375, median=2, min=1, max=4 Ticks.
+- `w100_d2`: n=2020, mean=2.49505, median=2, min=1, max=4 Ticks.
+- `w100_d4`: n=1720, mean=2.9186, median=2, min=1, max=5 Ticks.
+- `w125_d1`: n=840, mean=2.04762, median=2, min=1, max=5 Ticks.
+- `w125_d2`: n=2080, mean=2.45192, median=2, min=1, max=3 Ticks.
+- `w125_d4`: n=1800, mean=2.83333, median=2, min=1, max=5 Ticks.
+- `w50_d1`: n=100, mean=1.4, median=1, min=1, max=3 Ticks.
+- `w50_d2`: n=100, mean=1.6, median=1, min=1, max=4 Ticks.
+- `w50_d4`: n=100, mean=2, median=1, min=1, max=6 Ticks.
+- `w75_d1`: n=280, mean=1.78571, median=2, min=1, max=3 Ticks.
+- `w75_d2`: n=280, mean=2.07143, median=2, min=1, max=4 Ticks.
+- `w75_d4`: n=400, mean=2.85, median=2, min=1, max=7 Ticks.
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 101 | w0_d1 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 101 | w0_d2 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 101 | w0_d4 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 101 | w50_d1 | 256 | 6 | 6 | 3 | 1 | 6 | — |
+| 101 | w50_d2 | 256 | 6 | 6 | 3 | 1 | 7 | — |
+| 101 | w50_d4 | 256 | 6 | 6 | 3 | 1 | 9 | — |
+| 101 | w75_d1 | 256 | 15 | 15 | 3 | 4 | 24 | — |
+| 101 | w75_d2 | 256 | 15 | 15 | 3 | 4 | 28 | — |
+| 101 | w75_d4 | 256 | 21 | 21 | 3 | 6 | 56 | — |
+| 101 | w100_d1 | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 101 | w100_d2 | 256 | 102 | 102 | 3 | 33 | 251 | — |
+| 101 | w100_d4 | 256 | 87 | 87 | 3 | 28 | 250 | — |
+| 101 | w125_d1 | 256 | 43 | 43 | 3 | 14 | 83 | — |
+| 101 | w125_d2 | 256 | 105 | 104 | 3 | 34 | 254 | — |
+| 101 | w125_d4 | 256 | 91 | 90 | 3 | 30 | 249 | — |
+| 102 | w0_d1 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 102 | w0_d2 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 102 | w0_d4 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 102 | w50_d1 | 256 | 6 | 6 | 3 | 1 | 6 | — |
+| 102 | w50_d2 | 256 | 6 | 6 | 3 | 1 | 7 | — |
+| 102 | w50_d4 | 256 | 6 | 6 | 3 | 1 | 9 | — |
+| 102 | w75_d1 | 256 | 15 | 15 | 3 | 4 | 24 | — |
+| 102 | w75_d2 | 256 | 15 | 15 | 3 | 4 | 28 | — |
+| 102 | w75_d4 | 256 | 21 | 21 | 3 | 6 | 56 | — |
+| 102 | w100_d1 | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 102 | w100_d2 | 256 | 102 | 102 | 3 | 33 | 251 | — |
+| 102 | w100_d4 | 256 | 87 | 87 | 3 | 28 | 250 | — |
+| 102 | w125_d1 | 256 | 43 | 43 | 3 | 14 | 83 | — |
+| 102 | w125_d2 | 256 | 105 | 104 | 3 | 34 | 254 | — |
+| 102 | w125_d4 | 256 | 91 | 90 | 3 | 30 | 249 | — |
+| 103 | w0_d1 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 103 | w0_d2 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 103 | w0_d4 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 103 | w50_d1 | 256 | 6 | 6 | 3 | 1 | 6 | — |
+| 103 | w50_d2 | 256 | 6 | 6 | 3 | 1 | 7 | — |
+| 103 | w50_d4 | 256 | 6 | 6 | 3 | 1 | 9 | — |
+| 103 | w75_d1 | 256 | 15 | 15 | 3 | 4 | 24 | — |
+| 103 | w75_d2 | 256 | 15 | 15 | 3 | 4 | 28 | — |
+| 103 | w75_d4 | 256 | 21 | 21 | 3 | 6 | 56 | — |
+| 103 | w100_d1 | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 103 | w100_d2 | 256 | 102 | 102 | 3 | 33 | 251 | — |
+| 103 | w100_d4 | 256 | 87 | 87 | 3 | 28 | 250 | — |
+| 103 | w125_d1 | 256 | 43 | 43 | 3 | 14 | 83 | — |
+| 103 | w125_d2 | 256 | 105 | 104 | 3 | 34 | 254 | — |
+| 103 | w125_d4 | 256 | 91 | 90 | 3 | 30 | 249 | — |
+| 104 | w0_d1 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 104 | w0_d2 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 104 | w0_d4 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 104 | w50_d1 | 256 | 6 | 6 | 3 | 1 | 6 | — |
+| 104 | w50_d2 | 256 | 6 | 6 | 3 | 1 | 7 | — |
+| 104 | w50_d4 | 256 | 6 | 6 | 3 | 1 | 9 | — |
+| 104 | w75_d1 | 256 | 15 | 15 | 3 | 4 | 24 | — |
+| 104 | w75_d2 | 256 | 15 | 15 | 3 | 4 | 28 | — |
+| 104 | w75_d4 | 256 | 21 | 21 | 3 | 6 | 56 | — |
+| 104 | w100_d1 | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 104 | w100_d2 | 256 | 102 | 102 | 3 | 33 | 251 | — |
+| 104 | w100_d4 | 256 | 87 | 87 | 3 | 28 | 250 | — |
+| 104 | w125_d1 | 256 | 43 | 43 | 3 | 14 | 83 | — |
+| 104 | w125_d2 | 256 | 105 | 104 | 3 | 34 | 254 | — |
+| 104 | w125_d4 | 256 | 91 | 90 | 3 | 30 | 249 | — |
+| 105 | w0_d1 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 105 | w0_d2 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 105 | w0_d4 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 105 | w50_d1 | 256 | 6 | 6 | 3 | 1 | 6 | — |
+| 105 | w50_d2 | 256 | 6 | 6 | 3 | 1 | 7 | — |
+| 105 | w50_d4 | 256 | 6 | 6 | 3 | 1 | 9 | — |
+| 105 | w75_d1 | 256 | 15 | 15 | 3 | 4 | 24 | — |
+| 105 | w75_d2 | 256 | 15 | 15 | 3 | 4 | 28 | — |
+| 105 | w75_d4 | 256 | 21 | 21 | 3 | 6 | 56 | — |
+| 105 | w100_d1 | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 105 | w100_d2 | 256 | 102 | 102 | 3 | 33 | 251 | — |
+| 105 | w100_d4 | 256 | 87 | 87 | 3 | 28 | 250 | — |
+| 105 | w125_d1 | 256 | 43 | 43 | 3 | 14 | 83 | — |
+| 105 | w125_d2 | 256 | 105 | 104 | 3 | 34 | 254 | — |
+| 105 | w125_d4 | 256 | 91 | 90 | 3 | 30 | 249 | — |
+| 106 | w0_d1 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 106 | w0_d2 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 106 | w0_d4 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 106 | w50_d1 | 256 | 6 | 6 | 3 | 1 | 6 | — |
+| 106 | w50_d2 | 256 | 6 | 6 | 3 | 1 | 7 | — |
+| 106 | w50_d4 | 256 | 6 | 6 | 3 | 1 | 9 | — |
+| 106 | w75_d1 | 256 | 15 | 15 | 3 | 4 | 24 | — |
+| 106 | w75_d2 | 256 | 15 | 15 | 3 | 4 | 28 | — |
+| 106 | w75_d4 | 256 | 21 | 21 | 3 | 6 | 56 | — |
+| 106 | w100_d1 | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 106 | w100_d2 | 256 | 102 | 102 | 3 | 33 | 251 | — |
+| 106 | w100_d4 | 256 | 87 | 87 | 3 | 28 | 250 | — |
+| 106 | w125_d1 | 256 | 43 | 43 | 3 | 14 | 83 | — |
+| 106 | w125_d2 | 256 | 105 | 104 | 3 | 34 | 254 | — |
+| 106 | w125_d4 | 256 | 91 | 90 | 3 | 30 | 249 | — |
+| 107 | w0_d1 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 107 | w0_d2 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 107 | w0_d4 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 107 | w50_d1 | 256 | 6 | 6 | 3 | 1 | 6 | — |
+| 107 | w50_d2 | 256 | 6 | 6 | 3 | 1 | 7 | — |
+| 107 | w50_d4 | 256 | 6 | 6 | 3 | 1 | 9 | — |
+| 107 | w75_d1 | 256 | 15 | 15 | 3 | 4 | 24 | — |
+| 107 | w75_d2 | 256 | 15 | 15 | 3 | 4 | 28 | — |
+| 107 | w75_d4 | 256 | 21 | 21 | 3 | 6 | 56 | — |
+| 107 | w100_d1 | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 107 | w100_d2 | 256 | 102 | 102 | 3 | 33 | 251 | — |
+| 107 | w100_d4 | 256 | 87 | 87 | 3 | 28 | 250 | — |
+| 107 | w125_d1 | 256 | 43 | 43 | 3 | 14 | 83 | — |
+| 107 | w125_d2 | 256 | 105 | 104 | 3 | 34 | 254 | — |
+| 107 | w125_d4 | 256 | 91 | 90 | 3 | 30 | 249 | — |
+| 108 | w0_d1 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 108 | w0_d2 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 108 | w0_d4 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 108 | w50_d1 | 256 | 6 | 6 | 3 | 1 | 6 | — |
+| 108 | w50_d2 | 256 | 6 | 6 | 3 | 1 | 7 | — |
+| 108 | w50_d4 | 256 | 6 | 6 | 3 | 1 | 9 | — |
+| 108 | w75_d1 | 256 | 15 | 15 | 3 | 4 | 24 | — |
+| 108 | w75_d2 | 256 | 15 | 15 | 3 | 4 | 28 | — |
+| 108 | w75_d4 | 256 | 21 | 21 | 3 | 6 | 56 | — |
+| 108 | w100_d1 | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 108 | w100_d2 | 256 | 102 | 102 | 3 | 33 | 251 | — |
+| 108 | w100_d4 | 256 | 87 | 87 | 3 | 28 | 250 | — |
+| 108 | w125_d1 | 256 | 43 | 43 | 3 | 14 | 83 | — |
+| 108 | w125_d2 | 256 | 105 | 104 | 3 | 34 | 254 | — |
+| 108 | w125_d4 | 256 | 91 | 90 | 3 | 30 | 249 | — |
+| 109 | w0_d1 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 109 | w0_d2 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 109 | w0_d4 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 109 | w50_d1 | 256 | 6 | 6 | 3 | 1 | 6 | — |
+| 109 | w50_d2 | 256 | 6 | 6 | 3 | 1 | 7 | — |
+| 109 | w50_d4 | 256 | 6 | 6 | 3 | 1 | 9 | — |
+| 109 | w75_d1 | 256 | 15 | 15 | 3 | 4 | 24 | — |
+| 109 | w75_d2 | 256 | 15 | 15 | 3 | 4 | 28 | — |
+| 109 | w75_d4 | 256 | 21 | 21 | 3 | 6 | 56 | — |
+| 109 | w100_d1 | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 109 | w100_d2 | 256 | 102 | 102 | 3 | 33 | 251 | — |
+| 109 | w100_d4 | 256 | 87 | 87 | 3 | 28 | 250 | — |
+| 109 | w125_d1 | 256 | 43 | 43 | 3 | 14 | 83 | — |
+| 109 | w125_d2 | 256 | 105 | 104 | 3 | 34 | 254 | — |
+| 109 | w125_d4 | 256 | 91 | 90 | 3 | 30 | 249 | — |
+| 110 | w0_d1 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 110 | w0_d2 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 110 | w0_d4 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 110 | w50_d1 | 256 | 6 | 6 | 3 | 1 | 6 | — |
+| 110 | w50_d2 | 256 | 6 | 6 | 3 | 1 | 7 | — |
+| 110 | w50_d4 | 256 | 6 | 6 | 3 | 1 | 9 | — |
+| 110 | w75_d1 | 256 | 15 | 15 | 3 | 4 | 24 | — |
+| 110 | w75_d2 | 256 | 15 | 15 | 3 | 4 | 28 | — |
+| 110 | w75_d4 | 256 | 21 | 21 | 3 | 6 | 56 | — |
+| 110 | w100_d1 | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 110 | w100_d2 | 256 | 102 | 102 | 3 | 33 | 251 | — |
+| 110 | w100_d4 | 256 | 87 | 87 | 3 | 28 | 250 | — |
+| 110 | w125_d1 | 256 | 43 | 43 | 3 | 14 | 83 | — |
+| 110 | w125_d2 | 256 | 105 | 104 | 3 | 34 | 254 | — |
+| 110 | w125_d4 | 256 | 91 | 90 | 3 | 30 | 249 | — |
+| 111 | w0_d1 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 111 | w0_d2 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 111 | w0_d4 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 111 | w50_d1 | 256 | 6 | 6 | 3 | 1 | 6 | — |
+| 111 | w50_d2 | 256 | 6 | 6 | 3 | 1 | 7 | — |
+| 111 | w50_d4 | 256 | 6 | 6 | 3 | 1 | 9 | — |
+| 111 | w75_d1 | 256 | 15 | 15 | 3 | 4 | 24 | — |
+| 111 | w75_d2 | 256 | 15 | 15 | 3 | 4 | 28 | — |
+| 111 | w75_d4 | 256 | 21 | 21 | 3 | 6 | 56 | — |
+| 111 | w100_d1 | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 111 | w100_d2 | 256 | 102 | 102 | 3 | 33 | 251 | — |
+| 111 | w100_d4 | 256 | 87 | 87 | 3 | 28 | 250 | — |
+| 111 | w125_d1 | 256 | 43 | 43 | 3 | 14 | 83 | — |
+| 111 | w125_d2 | 256 | 105 | 104 | 3 | 34 | 254 | — |
+| 111 | w125_d4 | 256 | 91 | 90 | 3 | 30 | 249 | — |
+| 112 | w0_d1 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 112 | w0_d2 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 112 | w0_d4 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 112 | w50_d1 | 256 | 6 | 6 | 3 | 1 | 6 | — |
+| 112 | w50_d2 | 256 | 6 | 6 | 3 | 1 | 7 | — |
+| 112 | w50_d4 | 256 | 6 | 6 | 3 | 1 | 9 | — |
+| 112 | w75_d1 | 256 | 15 | 15 | 3 | 4 | 24 | — |
+| 112 | w75_d2 | 256 | 15 | 15 | 3 | 4 | 28 | — |
+| 112 | w75_d4 | 256 | 21 | 21 | 3 | 6 | 56 | — |
+| 112 | w100_d1 | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 112 | w100_d2 | 256 | 102 | 102 | 3 | 33 | 251 | — |
+| 112 | w100_d4 | 256 | 87 | 87 | 3 | 28 | 250 | — |
+| 112 | w125_d1 | 256 | 43 | 43 | 3 | 14 | 83 | — |
+| 112 | w125_d2 | 256 | 105 | 104 | 3 | 34 | 254 | — |
+| 112 | w125_d4 | 256 | 91 | 90 | 3 | 30 | 249 | — |
+| 113 | w0_d1 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 113 | w0_d2 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 113 | w0_d4 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 113 | w50_d1 | 256 | 6 | 6 | 3 | 1 | 6 | — |
+| 113 | w50_d2 | 256 | 6 | 6 | 3 | 1 | 7 | — |
+| 113 | w50_d4 | 256 | 6 | 6 | 3 | 1 | 9 | — |
+| 113 | w75_d1 | 256 | 15 | 15 | 3 | 4 | 24 | — |
+| 113 | w75_d2 | 256 | 15 | 15 | 3 | 4 | 28 | — |
+| 113 | w75_d4 | 256 | 21 | 21 | 3 | 6 | 56 | — |
+| 113 | w100_d1 | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 113 | w100_d2 | 256 | 102 | 102 | 3 | 33 | 251 | — |
+| 113 | w100_d4 | 256 | 87 | 87 | 3 | 28 | 250 | — |
+| 113 | w125_d1 | 256 | 43 | 43 | 3 | 14 | 83 | — |
+| 113 | w125_d2 | 256 | 105 | 104 | 3 | 34 | 254 | — |
+| 113 | w125_d4 | 256 | 91 | 90 | 3 | 30 | 249 | — |
+| 114 | w0_d1 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 114 | w0_d2 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 114 | w0_d4 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 114 | w50_d1 | 256 | 6 | 6 | 3 | 1 | 6 | — |
+| 114 | w50_d2 | 256 | 6 | 6 | 3 | 1 | 7 | — |
+| 114 | w50_d4 | 256 | 6 | 6 | 3 | 1 | 9 | — |
+| 114 | w75_d1 | 256 | 15 | 15 | 3 | 4 | 24 | — |
+| 114 | w75_d2 | 256 | 15 | 15 | 3 | 4 | 28 | — |
+| 114 | w75_d4 | 256 | 21 | 21 | 3 | 6 | 56 | — |
+| 114 | w100_d1 | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 114 | w100_d2 | 256 | 102 | 102 | 3 | 33 | 251 | — |
+| 114 | w100_d4 | 256 | 87 | 87 | 3 | 28 | 250 | — |
+| 114 | w125_d1 | 256 | 43 | 43 | 3 | 14 | 83 | — |
+| 114 | w125_d2 | 256 | 105 | 104 | 3 | 34 | 254 | — |
+| 114 | w125_d4 | 256 | 91 | 90 | 3 | 30 | 249 | — |
+| 115 | w0_d1 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 115 | w0_d2 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 115 | w0_d4 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 115 | w50_d1 | 256 | 6 | 6 | 3 | 1 | 6 | — |
+| 115 | w50_d2 | 256 | 6 | 6 | 3 | 1 | 7 | — |
+| 115 | w50_d4 | 256 | 6 | 6 | 3 | 1 | 9 | — |
+| 115 | w75_d1 | 256 | 15 | 15 | 3 | 4 | 24 | — |
+| 115 | w75_d2 | 256 | 15 | 15 | 3 | 4 | 28 | — |
+| 115 | w75_d4 | 256 | 21 | 21 | 3 | 6 | 56 | — |
+| 115 | w100_d1 | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 115 | w100_d2 | 256 | 102 | 102 | 3 | 33 | 251 | — |
+| 115 | w100_d4 | 256 | 87 | 87 | 3 | 28 | 250 | — |
+| 115 | w125_d1 | 256 | 43 | 43 | 3 | 14 | 83 | — |
+| 115 | w125_d2 | 256 | 105 | 104 | 3 | 34 | 254 | — |
+| 115 | w125_d4 | 256 | 91 | 90 | 3 | 30 | 249 | — |
+| 116 | w0_d1 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 116 | w0_d2 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 116 | w0_d4 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 116 | w50_d1 | 256 | 6 | 6 | 3 | 1 | 6 | — |
+| 116 | w50_d2 | 256 | 6 | 6 | 3 | 1 | 7 | — |
+| 116 | w50_d4 | 256 | 6 | 6 | 3 | 1 | 9 | — |
+| 116 | w75_d1 | 256 | 15 | 15 | 3 | 4 | 24 | — |
+| 116 | w75_d2 | 256 | 15 | 15 | 3 | 4 | 28 | — |
+| 116 | w75_d4 | 256 | 21 | 21 | 3 | 6 | 56 | — |
+| 116 | w100_d1 | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 116 | w100_d2 | 256 | 102 | 102 | 3 | 33 | 251 | — |
+| 116 | w100_d4 | 256 | 87 | 87 | 3 | 28 | 250 | — |
+| 116 | w125_d1 | 256 | 43 | 43 | 3 | 14 | 83 | — |
+| 116 | w125_d2 | 256 | 105 | 104 | 3 | 34 | 254 | — |
+| 116 | w125_d4 | 256 | 91 | 90 | 3 | 30 | 249 | — |
+| 117 | w0_d1 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 117 | w0_d2 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 117 | w0_d4 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 117 | w50_d1 | 256 | 6 | 6 | 3 | 1 | 6 | — |
+| 117 | w50_d2 | 256 | 6 | 6 | 3 | 1 | 7 | — |
+| 117 | w50_d4 | 256 | 6 | 6 | 3 | 1 | 9 | — |
+| 117 | w75_d1 | 256 | 15 | 15 | 3 | 4 | 24 | — |
+| 117 | w75_d2 | 256 | 15 | 15 | 3 | 4 | 28 | — |
+| 117 | w75_d4 | 256 | 21 | 21 | 3 | 6 | 56 | — |
+| 117 | w100_d1 | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 117 | w100_d2 | 256 | 102 | 102 | 3 | 33 | 251 | — |
+| 117 | w100_d4 | 256 | 87 | 87 | 3 | 28 | 250 | — |
+| 117 | w125_d1 | 256 | 43 | 43 | 3 | 14 | 83 | — |
+| 117 | w125_d2 | 256 | 105 | 104 | 3 | 34 | 254 | — |
+| 117 | w125_d4 | 256 | 91 | 90 | 3 | 30 | 249 | — |
+| 118 | w0_d1 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 118 | w0_d2 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 118 | w0_d4 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 118 | w50_d1 | 256 | 6 | 6 | 3 | 1 | 6 | — |
+| 118 | w50_d2 | 256 | 6 | 6 | 3 | 1 | 7 | — |
+| 118 | w50_d4 | 256 | 6 | 6 | 3 | 1 | 9 | — |
+| 118 | w75_d1 | 256 | 15 | 15 | 3 | 4 | 24 | — |
+| 118 | w75_d2 | 256 | 15 | 15 | 3 | 4 | 28 | — |
+| 118 | w75_d4 | 256 | 21 | 21 | 3 | 6 | 56 | — |
+| 118 | w100_d1 | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 118 | w100_d2 | 256 | 102 | 102 | 3 | 33 | 251 | — |
+| 118 | w100_d4 | 256 | 87 | 87 | 3 | 28 | 250 | — |
+| 118 | w125_d1 | 256 | 43 | 43 | 3 | 14 | 83 | — |
+| 118 | w125_d2 | 256 | 105 | 104 | 3 | 34 | 254 | — |
+| 118 | w125_d4 | 256 | 91 | 90 | 3 | 30 | 249 | — |
+| 119 | w0_d1 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 119 | w0_d2 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 119 | w0_d4 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 119 | w50_d1 | 256 | 6 | 6 | 3 | 1 | 6 | — |
+| 119 | w50_d2 | 256 | 6 | 6 | 3 | 1 | 7 | — |
+| 119 | w50_d4 | 256 | 6 | 6 | 3 | 1 | 9 | — |
+| 119 | w75_d1 | 256 | 15 | 15 | 3 | 4 | 24 | — |
+| 119 | w75_d2 | 256 | 15 | 15 | 3 | 4 | 28 | — |
+| 119 | w75_d4 | 256 | 21 | 21 | 3 | 6 | 56 | — |
+| 119 | w100_d1 | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 119 | w100_d2 | 256 | 102 | 102 | 3 | 33 | 251 | — |
+| 119 | w100_d4 | 256 | 87 | 87 | 3 | 28 | 250 | — |
+| 119 | w125_d1 | 256 | 43 | 43 | 3 | 14 | 83 | — |
+| 119 | w125_d2 | 256 | 105 | 104 | 3 | 34 | 254 | — |
+| 119 | w125_d4 | 256 | 91 | 90 | 3 | 30 | 249 | — |
+| 120 | w0_d1 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 120 | w0_d2 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 120 | w0_d4 | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 120 | w50_d1 | 256 | 6 | 6 | 3 | 1 | 6 | — |
+| 120 | w50_d2 | 256 | 6 | 6 | 3 | 1 | 7 | — |
+| 120 | w50_d4 | 256 | 6 | 6 | 3 | 1 | 9 | — |
+| 120 | w75_d1 | 256 | 15 | 15 | 3 | 4 | 24 | — |
+| 120 | w75_d2 | 256 | 15 | 15 | 3 | 4 | 28 | — |
+| 120 | w75_d4 | 256 | 21 | 21 | 3 | 6 | 56 | — |
+| 120 | w100_d1 | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 120 | w100_d2 | 256 | 102 | 102 | 3 | 33 | 251 | — |
+| 120 | w100_d4 | 256 | 87 | 87 | 3 | 28 | 250 | — |
+| 120 | w125_d1 | 256 | 43 | 43 | 3 | 14 | 83 | — |
+| 120 | w125_d2 | 256 | 105 | 104 | 3 | 34 | 254 | — |
+| 120 | w125_d4 | 256 | 91 | 90 | 3 | 30 | 249 | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `generated`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+- AIRR Markdown: [`reports/AIRR-2026-0001.md`](reports/AIRR-2026-0001.md)
+- AIRR JSON: [`reports/AIRR-2026-0001.json`](reports/AIRR-2026-0001.json)
+
+### 8.1 KI-Einschaetzung
+
+Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.
+
+KI-Konfidenz: `0.0` — dies ist keine statistische Konfidenz.
+
+### Methodische Kritik
+
+- AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.
+- Technical reason: TimeoutError: timed out
+
+### Alternative Erklaerungen
+
+- Keine expliziten Angaben.
+
+### Fehlende Nachweise
+
+- Run the role again with a schema-conforming backend response.
+- Complete mandatory human review before interpreting this report.
+
+### Empfohlene Folgeexperimente
+
+- Keine expliziten Folgeexperimente im AIRR angegeben.
+
+## 9. Artefakte
+
+- [analysis/ai_packet.json](analysis/ai_packet.json)
+- [analysis/ai_packet_digest.json](analysis/ai_packet_digest.json)
+- [analysis/AIAR-critical_reviewer-20260910013047134097-e1bb28f6.json](analysis/AIAR-critical_reviewer-20260910013047134097-e1bb28f6.json)
+- [analysis/AIAR-scientific_analyst-20260910012947112176-e1bb28f6.json](analysis/AIAR-scientific_analyst-20260910012947112176-e1bb28f6.json)
+- [analysis/AIAR-scientific_writer-20260910013147151285-e1bb28f6.json](analysis/AIAR-scientific_writer-20260910013147151285-e1bb28f6.json)
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/current_run.json](DATA/current_run.json)
+- [DATA/raw/run-0000-w0_d1-seed-101.json.gz](DATA/raw/run-0000-w0_d1-seed-101.json.gz)
+- [DATA/raw/run-0001-w0_d2-seed-101.json.gz](DATA/raw/run-0001-w0_d2-seed-101.json.gz)
+- [DATA/raw/run-0002-w0_d4-seed-101.json.gz](DATA/raw/run-0002-w0_d4-seed-101.json.gz)
+- [DATA/raw/run-0003-w50_d1-seed-101.json.gz](DATA/raw/run-0003-w50_d1-seed-101.json.gz)
+- [DATA/raw/run-0004-w50_d2-seed-101.json.gz](DATA/raw/run-0004-w50_d2-seed-101.json.gz)
+- [DATA/raw/run-0005-w50_d4-seed-101.json.gz](DATA/raw/run-0005-w50_d4-seed-101.json.gz)
+- [DATA/raw/run-0006-w75_d1-seed-101.json.gz](DATA/raw/run-0006-w75_d1-seed-101.json.gz)
+- [DATA/raw/run-0007-w75_d2-seed-101.json.gz](DATA/raw/run-0007-w75_d2-seed-101.json.gz)
+- [DATA/raw/run-0008-w75_d4-seed-101.json.gz](DATA/raw/run-0008-w75_d4-seed-101.json.gz)
+- [DATA/raw/run-0009-w100_d1-seed-101.json.gz](DATA/raw/run-0009-w100_d1-seed-101.json.gz)
+- [DATA/raw/run-0010-w100_d2-seed-101.json.gz](DATA/raw/run-0010-w100_d2-seed-101.json.gz)
+- [DATA/raw/run-0011-w100_d4-seed-101.json.gz](DATA/raw/run-0011-w100_d4-seed-101.json.gz)
+- [DATA/raw/run-0012-w125_d1-seed-101.json.gz](DATA/raw/run-0012-w125_d1-seed-101.json.gz)
+- [DATA/raw/run-0013-w125_d2-seed-101.json.gz](DATA/raw/run-0013-w125_d2-seed-101.json.gz)
+- [DATA/raw/run-0014-w125_d4-seed-101.json.gz](DATA/raw/run-0014-w125_d4-seed-101.json.gz)
+- [DATA/raw/run-0015-w0_d1-seed-102.json.gz](DATA/raw/run-0015-w0_d1-seed-102.json.gz)
+- [DATA/raw/run-0016-w0_d2-seed-102.json.gz](DATA/raw/run-0016-w0_d2-seed-102.json.gz)
+- [DATA/raw/run-0017-w0_d4-seed-102.json.gz](DATA/raw/run-0017-w0_d4-seed-102.json.gz)
+- [DATA/raw/run-0018-w50_d1-seed-102.json.gz](DATA/raw/run-0018-w50_d1-seed-102.json.gz)
+- [DATA/raw/run-0019-w50_d2-seed-102.json.gz](DATA/raw/run-0019-w50_d2-seed-102.json.gz)
+- [DATA/raw/run-0020-w50_d4-seed-102.json.gz](DATA/raw/run-0020-w50_d4-seed-102.json.gz)
+- [DATA/raw/run-0021-w75_d1-seed-102.json.gz](DATA/raw/run-0021-w75_d1-seed-102.json.gz)
+- [DATA/raw/run-0022-w75_d2-seed-102.json.gz](DATA/raw/run-0022-w75_d2-seed-102.json.gz)
+- [DATA/raw/run-0023-w75_d4-seed-102.json.gz](DATA/raw/run-0023-w75_d4-seed-102.json.gz)
+- [DATA/raw/run-0024-w100_d1-seed-102.json.gz](DATA/raw/run-0024-w100_d1-seed-102.json.gz)
+- [DATA/raw/run-0025-w100_d2-seed-102.json.gz](DATA/raw/run-0025-w100_d2-seed-102.json.gz)
+- [DATA/raw/run-0026-w100_d4-seed-102.json.gz](DATA/raw/run-0026-w100_d4-seed-102.json.gz)
+- [DATA/raw/run-0027-w125_d1-seed-102.json.gz](DATA/raw/run-0027-w125_d1-seed-102.json.gz)
+- [DATA/raw/run-0028-w125_d2-seed-102.json.gz](DATA/raw/run-0028-w125_d2-seed-102.json.gz)
+- [DATA/raw/run-0029-w125_d4-seed-102.json.gz](DATA/raw/run-0029-w125_d4-seed-102.json.gz)
+- [DATA/raw/run-0030-w0_d1-seed-103.json.gz](DATA/raw/run-0030-w0_d1-seed-103.json.gz)
+- [DATA/raw/run-0031-w0_d2-seed-103.json.gz](DATA/raw/run-0031-w0_d2-seed-103.json.gz)
+- [DATA/raw/run-0032-w0_d4-seed-103.json.gz](DATA/raw/run-0032-w0_d4-seed-103.json.gz)
+- [DATA/raw/run-0033-w50_d1-seed-103.json.gz](DATA/raw/run-0033-w50_d1-seed-103.json.gz)
+- [DATA/raw/run-0034-w50_d2-seed-103.json.gz](DATA/raw/run-0034-w50_d2-seed-103.json.gz)
+- [DATA/raw/run-0035-w50_d4-seed-103.json.gz](DATA/raw/run-0035-w50_d4-seed-103.json.gz)
+- [DATA/raw/run-0036-w75_d1-seed-103.json.gz](DATA/raw/run-0036-w75_d1-seed-103.json.gz)
+- [DATA/raw/run-0037-w75_d2-seed-103.json.gz](DATA/raw/run-0037-w75_d2-seed-103.json.gz)
+- [DATA/raw/run-0038-w75_d4-seed-103.json.gz](DATA/raw/run-0038-w75_d4-seed-103.json.gz)
+- [DATA/raw/run-0039-w100_d1-seed-103.json.gz](DATA/raw/run-0039-w100_d1-seed-103.json.gz)
+- [DATA/raw/run-0040-w100_d2-seed-103.json.gz](DATA/raw/run-0040-w100_d2-seed-103.json.gz)
+- [DATA/raw/run-0041-w100_d4-seed-103.json.gz](DATA/raw/run-0041-w100_d4-seed-103.json.gz)
+- [DATA/raw/run-0042-w125_d1-seed-103.json.gz](DATA/raw/run-0042-w125_d1-seed-103.json.gz)
+- [DATA/raw/run-0043-w125_d2-seed-103.json.gz](DATA/raw/run-0043-w125_d2-seed-103.json.gz)
+- [DATA/raw/run-0044-w125_d4-seed-103.json.gz](DATA/raw/run-0044-w125_d4-seed-103.json.gz)
+- [DATA/raw/run-0045-w0_d1-seed-104.json.gz](DATA/raw/run-0045-w0_d1-seed-104.json.gz)
+- [DATA/raw/run-0046-w0_d2-seed-104.json.gz](DATA/raw/run-0046-w0_d2-seed-104.json.gz)
+- [DATA/raw/run-0047-w0_d4-seed-104.json.gz](DATA/raw/run-0047-w0_d4-seed-104.json.gz)
+- [DATA/raw/run-0048-w50_d1-seed-104.json.gz](DATA/raw/run-0048-w50_d1-seed-104.json.gz)
+- [DATA/raw/run-0049-w50_d2-seed-104.json.gz](DATA/raw/run-0049-w50_d2-seed-104.json.gz)
+- [DATA/raw/run-0050-w50_d4-seed-104.json.gz](DATA/raw/run-0050-w50_d4-seed-104.json.gz)
+- [DATA/raw/run-0051-w75_d1-seed-104.json.gz](DATA/raw/run-0051-w75_d1-seed-104.json.gz)
+- [DATA/raw/run-0052-w75_d2-seed-104.json.gz](DATA/raw/run-0052-w75_d2-seed-104.json.gz)
+- [DATA/raw/run-0053-w75_d4-seed-104.json.gz](DATA/raw/run-0053-w75_d4-seed-104.json.gz)
+- [DATA/raw/run-0054-w100_d1-seed-104.json.gz](DATA/raw/run-0054-w100_d1-seed-104.json.gz)
+- [DATA/raw/run-0055-w100_d2-seed-104.json.gz](DATA/raw/run-0055-w100_d2-seed-104.json.gz)
+- [DATA/raw/run-0056-w100_d4-seed-104.json.gz](DATA/raw/run-0056-w100_d4-seed-104.json.gz)
+- [DATA/raw/run-0057-w125_d1-seed-104.json.gz](DATA/raw/run-0057-w125_d1-seed-104.json.gz)
+- [DATA/raw/run-0058-w125_d2-seed-104.json.gz](DATA/raw/run-0058-w125_d2-seed-104.json.gz)
+- [DATA/raw/run-0059-w125_d4-seed-104.json.gz](DATA/raw/run-0059-w125_d4-seed-104.json.gz)
+- [DATA/raw/run-0060-w0_d1-seed-105.json.gz](DATA/raw/run-0060-w0_d1-seed-105.json.gz)
+- [DATA/raw/run-0061-w0_d2-seed-105.json.gz](DATA/raw/run-0061-w0_d2-seed-105.json.gz)
+- [DATA/raw/run-0062-w0_d4-seed-105.json.gz](DATA/raw/run-0062-w0_d4-seed-105.json.gz)
+- [DATA/raw/run-0063-w50_d1-seed-105.json.gz](DATA/raw/run-0063-w50_d1-seed-105.json.gz)
+- [DATA/raw/run-0064-w50_d2-seed-105.json.gz](DATA/raw/run-0064-w50_d2-seed-105.json.gz)
+- [DATA/raw/run-0065-w50_d4-seed-105.json.gz](DATA/raw/run-0065-w50_d4-seed-105.json.gz)
+- [DATA/raw/run-0066-w75_d1-seed-105.json.gz](DATA/raw/run-0066-w75_d1-seed-105.json.gz)
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+- [DATA/raw/run-0242-w0_d4-seed-117.json.gz](DATA/raw/run-0242-w0_d4-seed-117.json.gz)
+- [DATA/raw/run-0243-w50_d1-seed-117.json.gz](DATA/raw/run-0243-w50_d1-seed-117.json.gz)
+- [DATA/raw/run-0244-w50_d2-seed-117.json.gz](DATA/raw/run-0244-w50_d2-seed-117.json.gz)
+- [DATA/raw/run-0245-w50_d4-seed-117.json.gz](DATA/raw/run-0245-w50_d4-seed-117.json.gz)
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+- [DATA/raw/run-0284-w125_d4-seed-119.json.gz](DATA/raw/run-0284-w125_d4-seed-119.json.gz)
+- [DATA/raw/run-0285-w0_d1-seed-120.json.gz](DATA/raw/run-0285-w0_d1-seed-120.json.gz)
+- [DATA/raw/run-0286-w0_d2-seed-120.json.gz](DATA/raw/run-0286-w0_d2-seed-120.json.gz)
+- [DATA/raw/run-0287-w0_d4-seed-120.json.gz](DATA/raw/run-0287-w0_d4-seed-120.json.gz)
+- [DATA/raw/run-0288-w50_d1-seed-120.json.gz](DATA/raw/run-0288-w50_d1-seed-120.json.gz)
+- [DATA/raw/run-0289-w50_d2-seed-120.json.gz](DATA/raw/run-0289-w50_d2-seed-120.json.gz)
+- [DATA/raw/run-0290-w50_d4-seed-120.json.gz](DATA/raw/run-0290-w50_d4-seed-120.json.gz)
+- [DATA/raw/run-0291-w75_d1-seed-120.json.gz](DATA/raw/run-0291-w75_d1-seed-120.json.gz)
+- [DATA/raw/run-0292-w75_d2-seed-120.json.gz](DATA/raw/run-0292-w75_d2-seed-120.json.gz)
+- [DATA/raw/run-0293-w75_d4-seed-120.json.gz](DATA/raw/run-0293-w75_d4-seed-120.json.gz)
+- [DATA/raw/run-0294-w100_d1-seed-120.json.gz](DATA/raw/run-0294-w100_d1-seed-120.json.gz)
+- [DATA/raw/run-0295-w100_d2-seed-120.json.gz](DATA/raw/run-0295-w100_d2-seed-120.json.gz)
+- [DATA/raw/run-0296-w100_d4-seed-120.json.gz](DATA/raw/run-0296-w100_d4-seed-120.json.gz)
+- [DATA/raw/run-0297-w125_d1-seed-120.json.gz](DATA/raw/run-0297-w125_d1-seed-120.json.gz)
+- [DATA/raw/run-0298-w125_d2-seed-120.json.gz](DATA/raw/run-0298-w125_d2-seed-120.json.gz)
+- [DATA/raw/run-0299-w125_d4-seed-120.json.gz](DATA/raw/run-0299-w125_d4-seed-120.json.gz)
+- [DATA/runs.json](DATA/runs.json)
+- [DATA/runs_index.json](DATA/runs_index.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [reports/AIRR-2026-0001.json](reports/AIRR-2026-0001.json)
+- [reports/AIRR-2026-0001.md](reports/AIRR-2026-0001.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `DIRECT_MATCH`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-35/workflow.json b/research/experiments/EXP-BATCH-20260909223705-35/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..ea160caa7ce39b89416c8c97ccd5b7b4a3c40fdf
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-35/workflow.json
@@ -0,0 +1,49 @@
+{
+  "experiment_id": "EXP-BATCH-20260909223705-35",
+  "research_question": "RQ-REC-001",
+  "hypothesis": "H-REC-001-A",
+  "title": "Experiment workflow: recurrence_map_v1",
+  "conditions": "Registered protocol conditions",
+  "ticks": 256,
+  "ticks_contract": "minimum requested observation window",
+  "seeds": [
+    101,
+    102,
+    103,
+    104,
+    105,
+    106,
+    107,
+    108,
+    109,
+    110,
+    111,
+    112,
+    113,
+    114,
+    115,
+    116,
+    117,
+    118,
+    119,
+    120
+  ],
+  "protocol": "recurrence_map_v1",
+  "resolved_runner": "run_recurrence_map",
+  "tick_validation": {
+    "status": "SATISFIED",
+    "mode": "minimum_per_run",
+    "requested_ticks": 256,
+    "observed_min": 256,
+    "observed_max": 256
+  },
+  "notes": "",
+  "execution": "registered experiment_suite runner",
+  "assistant_policy": "AI is post-hoc interpretation only.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-36/DATA/current_run.json b/research/experiments/EXP-BATCH-20260909223705-36/DATA/current_run.json
new file mode 100644
index 0000000000000000000000000000000000000000..5875b730f7d3eb85f00bd5b8a777c86114b2c1b4
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-36/DATA/current_run.json
@@ -0,0 +1,11 @@
+{
+  "last_archived_run": 179,
+  "raw_artifact": {
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+    "path": "DATA/raw/run-0179-sham_replay_drive_1.15-seed-120.json.gz",
+    "sha256": "1a6cc84009cfbd4b4fa74356cf1147f0304cb0050e51126c351e452543f426a6",
+    "size_bytes": 421,
+    "uncompressed_bytes": 738
+  },
+  "status": "idle"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-36/DATA/runs_index.json b/research/experiments/EXP-BATCH-20260909223705-36/DATA/runs_index.json
new file mode 100644
index 0000000000000000000000000000000000000000..6dfcc40b3d4da878003ceae865501c3cc8d3935e
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-36/DATA/runs_index.json
@@ -0,0 +1,1807 @@
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+{
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diff --git a/research/experiments/EXP-BATCH-20260909223705-36/analysis/ai_packet_digest.json b/research/experiments/EXP-BATCH-20260909223705-36/analysis/ai_packet_digest.json
new file mode 100644
index 0000000000000000000000000000000000000000..5f85edf901f620bfe693f86e2d74bc8053261045
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-36/analysis/ai_packet_digest.json
@@ -0,0 +1,7 @@
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+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 180,
+  "schema_version": "2.0"
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diff --git a/research/experiments/EXP-BATCH-20260909223705-36/manifest.json b/research/experiments/EXP-BATCH-20260909223705-36/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..55ca6bf20c976d854d2a2286b250a241b8727986
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-36/manifest.json
@@ -0,0 +1,134 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "ai_packet": "analysis/ai_packet.json",
+    "ai_packet_digest": "analysis/ai_packet_digest.json",
+    "ai_report_json": "experiments/EXP-BATCH-20260909223705-36/reports/AIRR-2026-0001.json",
+    "ai_report_markdown": "experiments/EXP-BATCH-20260909223705-36/reports/AIRR-2026-0001.md",
+    "current_run": "DATA/current_run.json",
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+    "hypothesis_id": "H-GEN-001-A",
+    "protocol": "learning_generalization_v1",
+    "question_id": "RQ-GEN-001",
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+    "ticks_requested": 1000
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diff --git a/research/experiments/EXP-BATCH-20260909223705-36/report.md b/research/experiments/EXP-BATCH-20260909223705-36/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..8c21699f39220b92ee2bc2d39145ce300dd5e257
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-36/report.md
@@ -0,0 +1,35 @@
+# EXP-BATCH-20260909223705-36: Experiment workflow: learning_generalization_v1
+
+## Forschungszuordnung
+Forschungsfrage: `RQ-GEN-001`
+Hypothese: `H-GEN-001-A`
+Aufgeloester Runner: `run_generalization`
+
+## Protokoll und Einstellungen
+Protokoll: `learning_generalization_v1`
+Angeforderte Mindest-Ticks: `1000`
+Seeds: `101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120`
+Tick-Vertrag: `{"mode": "protocol_defined_internal_trials", "requested_ticks": 1000, "status": "NOT_APPLICABLE"}`
+
+## Bedingungen
+Registered protocol conditions
+Runs: 180; Dauer: 1.724316 s
+
+## Daten und Statistik
+Kompakte Run-Projektion: `DATA/runs.json`
+Unveränderlicher Rohdatenindex: `DATA/runs_index.json`
+KI-Eingabepaket: `analysis/ai_packet.json` (hart begrenzt)
+Deterministische deskriptive Statistik: `analysis/statistics.json`
+Die Summary verbindet Rohdaten, Formeln, Einzelruns, Bedingungen, Reproduzierbarkeit und AIRR ohne KI-generierte Statistik.
+
+## Epistemische Ebenen
+UI-Zustand: Dashboard-Steuerung und Fortschritt; kein wissenschaftliches Ergebnis.
+DATA: Rohdaten, Run-Index und deterministische Statistik.
+EVID: nicht erzeugt; Clean Freeze, semantische Zuordnung und Human Review erforderlich.
+Interpretation: nachgelagerte KI-/Human-Interpretation; keine Ausfuehrungseingabe.
+
+## Evidenzstatus
+DATA, Manifest, Workflow und deterministische Statistik sind erzeugt. Wissenschaftliche EVID entsteht erst nach passender semantischer Zuordnung, Clean Freeze und Human Review.
+
+## Hinweise
+Keine.
diff --git a/research/experiments/EXP-BATCH-20260909223705-36/reports/AIRR-2026-0001.json b/research/experiments/EXP-BATCH-20260909223705-36/reports/AIRR-2026-0001.json
new file mode 100644
index 0000000000000000000000000000000000000000..84c645e93c9d3ca6a7003cc941fad0a20ce1777b
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-36/reports/AIRR-2026-0001.json
@@ -0,0 +1,2952 @@
+{
+  "report_id": "AIRR-2026-0001",
+  "experiment_id": "EXP-BATCH-20260909223705-36",
+  "research_question_id": "RQ-GEN-001",
+  "hypothesis_ids": [
+    "H-GEN-001-A"
+  ],
+  "claim_ids": [],
+  "generated_at": "2026-09-10T01:34:50.874289+00:00",
+  "report_schema_version": "1.0",
+  "report_protocol_version": "PROTOCOL-AIRR-001",
+  "generated_by": "artificial_intelligence",
+  "ai_generated": true,
+  "scientific_evidence": false,
+  "human_review_required": true,
+  "status": "review_pending",
+  "content": {
+    "identification": {
+      "experiment": "EXP-BATCH-20260909223705-36",
+      "research_question": "Verbessert reward-moduliertes lokales Lernen die Leistung auf Holdout- und Perturbationsbedingungen, die nicht zur Anpassung verwendet wurden?",
+      "hypotheses": [
+        {
+          "id": "H-GEN-001-A",
+          "research_question": "RQ-GEN-001",
+          "hypothesis": "Learning-on verbessert die Erfolgsrate auf vorab registrierten Perturbationsproben gegenüber Learning-off und Sham-Replay.",
+          "status": "untested",
+          "evidence": [],
+          "created": "2026-09-05",
+          "updated": "2026-09-05"
+        }
+      ],
+      "date": "2026-09-10",
+      "source_sha": "8184fc74654169e4d01552f093dd807f065c34e3"
+    },
+    "executive_summary": "Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+    "research_question": {
+      "id": "RQ-GEN-001",
+      "domain": "Learning Generalization",
+      "question": "Verbessert reward-moduliertes lokales Lernen die Leistung auf Holdout- und Perturbationsbedingungen, die nicht zur Anpassung verwendet wurden?",
+      "relevance": "EXP-GEN-0021 zeigte funktionelle Änderung unter Learning-on, aber keine Generalisierung.",
+      "literature": [],
+      "hypotheses": [
+        "H-GEN-001-A"
+      ],
+      "evidence": [],
+      "status": "open",
+      "answer": {
+        "current": null,
+        "confidence": "none",
+        "limitations": "Generalisierung muss gegenüber Learning-off und Sham-Replay getrennt werden."
+      },
+      "created": "2026-09-05",
+      "updated": "2026-09-05"
+    },
+    "experimental_design": {
+      "experiment_id": "EXP-BATCH-20260909223705-36",
+      "research_question": "RQ-GEN-001",
+      "hypothesis": "H-GEN-001-A",
+      "title": "Experiment workflow: learning_generalization_v1",
+      "conditions": "Registered protocol conditions",
+      "ticks": 1000,
+      "ticks_contract": "minimum requested observation window",
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+      "tick_validation": {
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+        "mode": "protocol_defined_internal_trials",
+        "requested_ticks": 1000
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+      "notes": "",
+      "execution": "registered experiment_suite runner",
+      "assistant_policy": "AI is post-hoc interpretation only.",
+      "epistemic_layers": {
+        "ui_state": "operator/dashboard progress only; not a scientific result",
+        "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+        "evid": "not_created; requires semantic validation, clean freeze and human review",
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+              "max": 12.0,
+              "mean": 12.0,
+              "median": 12.0,
+              "min": 12.0,
+              "n": 20,
+              "std": 0.0
+            },
+            "validation_trial_count": {
+              "max": 4.0,
+              "mean": 4.0,
+              "median": 4.0,
+              "min": 4.0,
+              "n": 20,
+              "std": 0.0
+            }
+          },
+          "run_count": 20,
+          "seeds": [
+            101,
+            102,
+            103,
+            104,
+            105,
+            106,
+            107,
+            108,
+            109,
+            110,
+            111,
+            112,
+            113,
+            114,
+            115,
+            116,
+            117,
+            118,
+            119,
+            120
+          ]
+        }
+      },
+      "formulas": {
+        "difference": "Delta_x = mean(x_B) - mean(x_A)",
+        "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+        "mean": "mean(x) = (1/n) * sum_i x_i",
+        "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+        "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+      },
+      "generated_by": "deterministic_statistics_engine",
+      "run_count": 180,
+      "schema_version": "2.0"
+    },
+    "observations": [],
+    "interpretation": {
+      "assessment": "Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+      "observations": [],
+      "effect_direction": "not_determined",
+      "methodological_concerns": [
+        "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+        "Technical reason: TimeoutError: timed out"
+      ],
+      "alternative_explanations": [],
+      "recommended_experiments": [],
+      "requested_evidence": [
+        "Run the role again with a schema-conforming backend response.",
+        "Complete mandatory human review before interpreting this report."
+      ],
+      "confidence": 0.0,
+      "analysis_unavailable": true
+    },
+    "methodological_critique": [
+      "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+      "Technical reason: TimeoutError: timed out"
+    ],
+    "alternative_explanations": [],
+    "reproducibility": {
+      "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+      "experiment_status": "completed",
+      "evidence_mode": "not_reported",
+      "git_dirty": "True",
+      "source_freeze_sha": "0efd5d52b6ddeed37ab4737b46f241c0aa5112841092e0bbd9829456b899ea81",
+      "configuration_path": "F:\\Brain-5D\\configs\\learning_experiment.yaml",
+      "configuration_sha256": "6f6cd457caf6216c286fee47ef03b529a0b496ed2dd53ee96b85d3b51e7b3a1c",
+      "experiment_manifest_digest": "28f3b11e8d798ee4e3c7e2f62f73dc7b9b681fce4b0fa72792f4f6b2ec093d10",
+      "data_ids": "NOT_AVAILABLE",
+      "evid_ids": "NOT_AVAILABLE",
+      "protocol_id": "NOT_AVAILABLE",
+      "protocol_digest": "448c5a06df7f7e39964185f6a5e2c7a8e8331586aae381105354c4cfd3db77c0",
+      "data_digest": "29739018a00e5ab4b474d62ea1095dc6682a7bd445c2ce04938496fa282346cc",
+      "evid_digests": "[]"
+    },
+    "epistemic_status": {
+      "implementation": "NOT_DETERMINED",
+      "experiment_data": "PRESENT",
+      "registered_evidence": "ABSENT",
+      "ai_interpretation": "PRESENT",
+      "human_review": "PENDING",
+      "claim_support": "NOT_DETERMINED",
+      "rq_status": "IN_PROGRESS"
+    },
+    "ai_confidence": 0.0,
+    "missing_evidence": [
+      "Run the role again with a schema-conforming backend response.",
+      "Complete mandatory human review before interpreting this report."
+    ],
+    "recommended_follow_up": [],
+    "conclusion": "Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+    "human_review": {
+      "status": "PENDING",
+      "reviewer": null,
+      "reviewed_at": null,
+      "disposition": null,
+      "comments": null
+    },
+    "aiar": {
+      "analyst": {
+        "analysis_id": "AIAR-scientific_analyst-20260910013250763607-75f86d8c",
+        "role": "scientific_analyst",
+        "model": {
+          "provider": "system-fallback",
+          "model_name": "unavailable",
+          "model_digest": "not_applicable",
+          "quantization": "unknown",
+          "context_length": "unknown",
+          "temperature": 0.0,
+          "top_p": 1.0,
+          "seed": "not_reported",
+          "backend_version": "unknown"
+        },
+        "inputs": {
+          "experiment_id": "EXP-BATCH-20260909223705-36",
+          "packet_digest": "75f86d8cab3fb39966353074c27038e70cd490e5b9a5b78add37bf0416c1e122"
+        },
+        "output": {
+          "assessment": "Die Rolle scientific_analyst konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+          "observations": [],
+          "effect_direction": "not_determined",
+          "methodological_concerns": [
+            "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+            "Technical reason: TimeoutError: timed out"
+          ],
+          "alternative_explanations": [],
+          "recommended_experiments": [],
+          "requested_evidence": [
+            "Run the role again with a schema-conforming backend response.",
+            "Complete mandatory human review before interpreting this report."
+          ],
+          "confidence": 0.0,
+          "analysis_unavailable": true
+        },
+        "provenance": {
+          "prompt_sha256": "93f233bbb523bdfd2b7bff304214d1f1a3ea8b3cdd219df8641d38cbee7bce53",
+          "research_packet_digest": "75f86d8cab3fb39966353074c27038e70cd490e5b9a5b78add37bf0416c1e122",
+          "prompt_protocol_version": "research_assistant_v1",
+          "assistant_schema_version": "1.2",
+          "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+          "model_self_confidence": "0.0"
+        },
+        "epistemic_status": {
+          "evidence": false,
+          "interpretation_only": true,
+          "human_review_required": true
+        },
+        "review": {
+          "status": "pending",
+          "reviewer": null,
+          "reviewed_at": null,
+          "disposition": null
+        },
+        "generated_at": "2026-09-10T01:32:50.763607+00:00"
+      },
+      "reviewer": {
+        "analysis_id": "AIAR-critical_reviewer-20260910013350781285-75f86d8c",
+        "role": "critical_reviewer",
+        "model": {
+          "provider": "system-fallback",
+          "model_name": "unavailable",
+          "model_digest": "not_applicable",
+          "quantization": "unknown",
+          "context_length": "unknown",
+          "temperature": 0.0,
+          "top_p": 1.0,
+          "seed": "not_reported",
+          "backend_version": "unknown"
+        },
+        "inputs": {
+          "experiment_id": "EXP-BATCH-20260909223705-36",
+          "packet_digest": "75f86d8cab3fb39966353074c27038e70cd490e5b9a5b78add37bf0416c1e122"
+        },
+        "output": {
+          "assessment": "Die Rolle critical_reviewer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+          "observations": [],
+          "effect_direction": "not_determined",
+          "methodological_concerns": [
+            "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+            "Technical reason: TimeoutError: timed out"
+          ],
+          "alternative_explanations": [],
+          "recommended_experiments": [],
+          "requested_evidence": [
+            "Run the role again with a schema-conforming backend response.",
+            "Complete mandatory human review before interpreting this report."
+          ],
+          "confidence": 0.0,
+          "analysis_unavailable": true
+        },
+        "provenance": {
+          "prompt_sha256": "412a37073e1456e5dfd94430999b87a58ea56be9817e65434023d9c6e8bca7d7",
+          "research_packet_digest": "75f86d8cab3fb39966353074c27038e70cd490e5b9a5b78add37bf0416c1e122",
+          "prompt_protocol_version": "research_assistant_v1",
+          "assistant_schema_version": "1.2",
+          "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+          "model_self_confidence": "0.0"
+        },
+        "epistemic_status": {
+          "evidence": false,
+          "interpretation_only": true,
+          "human_review_required": true
+        },
+        "review": {
+          "status": "pending",
+          "reviewer": null,
+          "reviewed_at": null,
+          "disposition": null
+        },
+        "generated_at": "2026-09-10T01:33:50.781285+00:00"
+      },
+      "writer": {
+        "analysis_id": "AIAR-scientific_writer-20260910013450831680-75f86d8c",
+        "role": "scientific_writer",
+        "model": {
+          "provider": "system-fallback",
+          "model_name": "unavailable",
+          "model_digest": "not_applicable",
+          "quantization": "unknown",
+          "context_length": "unknown",
+          "temperature": 0.0,
+          "top_p": 1.0,
+          "seed": "not_reported",
+          "backend_version": "unknown"
+        },
+        "inputs": {
+          "experiment_id": "EXP-BATCH-20260909223705-36",
+          "packet_digest": "75f86d8cab3fb39966353074c27038e70cd490e5b9a5b78add37bf0416c1e122"
+        },
+        "output": {
+          "assessment": "Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+          "observations": [],
+          "effect_direction": "not_determined",
+          "methodological_concerns": [
+            "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+            "Technical reason: TimeoutError: timed out"
+          ],
+          "alternative_explanations": [],
+          "recommended_experiments": [],
+          "requested_evidence": [
+            "Run the role again with a schema-conforming backend response.",
+            "Complete mandatory human review before interpreting this report."
+          ],
+          "confidence": 0.0,
+          "analysis_unavailable": true
+        },
+        "provenance": {
+          "prompt_sha256": "a513ac86d70f42f76670bf98d9b6e8717f287a4734c3ab9e39e3e6eda43df3e9",
+          "research_packet_digest": "75f86d8cab3fb39966353074c27038e70cd490e5b9a5b78add37bf0416c1e122",
+          "prompt_protocol_version": "research_assistant_v1",
+          "assistant_schema_version": "1.2",
+          "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+          "model_self_confidence": "0.0"
+        },
+        "epistemic_status": {
+          "evidence": false,
+          "interpretation_only": true,
+          "human_review_required": true
+        },
+        "review": {
+          "status": "pending",
+          "reviewer": null,
+          "reviewed_at": null,
+          "disposition": null
+        },
+        "generated_at": "2026-09-10T01:34:50.831680+00:00"
+      }
+    }
+  },
+  "provenance": {
+    "research_packet_digest": "75f86d8cab3fb39966353074c27038e70cd490e5b9a5b78add37bf0416c1e122",
+    "source": {
+      "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+      "experiment_status": "completed",
+      "evidence_mode": "not_reported",
+      "git_dirty": "True",
+      "source_freeze_sha": "0efd5d52b6ddeed37ab4737b46f241c0aa5112841092e0bbd9829456b899ea81",
+      "configuration_path": "F:\\Brain-5D\\configs\\learning_experiment.yaml",
+      "configuration_sha256": "6f6cd457caf6216c286fee47ef03b529a0b496ed2dd53ee96b85d3b51e7b3a1c",
+      "experiment_manifest_digest": "28f3b11e8d798ee4e3c7e2f62f73dc7b9b681fce4b0fa72792f4f6b2ec093d10",
+      "data_ids": "NOT_AVAILABLE",
+      "evid_ids": "NOT_AVAILABLE",
+      "protocol_id": "NOT_AVAILABLE",
+      "protocol_digest": "448c5a06df7f7e39964185f6a5e2c7a8e8331586aae381105354c4cfd3db77c0",
+      "data_digest": "29739018a00e5ab4b474d62ea1095dc6682a7bd445c2ce04938496fa282346cc",
+      "evid_digests": "[]"
+    }
+  },
+  "analysis_ids": [
+    "AIAR-scientific_analyst-20260910013250763607-75f86d8c",
+    "AIAR-critical_reviewer-20260910013350781285-75f86d8c",
+    "AIAR-scientific_writer-20260910013450831680-75f86d8c"
+  ],
+  "supersedes": null,
+  "content_digest": "dbc61a265307c058de919f77b6ff55cbadbf83c207d36d733848d44acd9a13cd",
+  "markdown_digest": "d25295ab4a9ed6178f91a28e2231870f5e713042adf65ebe99f8468736f083ec"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-36/reports/AIRR-2026-0001.md b/research/experiments/EXP-BATCH-20260909223705-36/reports/AIRR-2026-0001.md
new file mode 100644
index 0000000000000000000000000000000000000000..74a12976e38796fec801b120344ab33fbbd1ac2a
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-36/reports/AIRR-2026-0001.md
@@ -0,0 +1,2817 @@
+============================================================
+BRAIN-5D - AI GENERATED SCIENTIFIC ANALYSIS
+============================================================
+
+Dieser Bericht wurde durch ein kuenstliches Intelligenzsystem erzeugt.
+
+Er stellt eine wissenschaftliche Interpretation von MHRN-Forschungsdaten dar.
+
+Er ist KEINE wissenschaftliche Evidenz.
+
+Er wurde zum Zeitpunkt der Erstellung noch nicht automatisch durch einen Menschen bestaetigt.
+
+Human Review Status: PENDING
+============================================================
+
+# AI Research Report AIRR-2026-0001
+
+Status: review_pending | Experiment: EXP-BATCH-20260909223705-36
+Research Question: RQ-GEN-001
+## Executive Summary
+
+```json
+"Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor."
+```
+
+## Research Question
+
+```json
+{
+  "id": "RQ-GEN-001",
+  "domain": "Learning Generalization",
+  "question": "Verbessert reward-moduliertes lokales Lernen die Leistung auf Holdout- und Perturbationsbedingungen, die nicht zur Anpassung verwendet wurden?",
+  "relevance": "EXP-GEN-0021 zeigte funktionelle Änderung unter Learning-on, aber keine Generalisierung.",
+  "literature": [],
+  "hypotheses": [
+    "H-GEN-001-A"
+  ],
+  "evidence": [],
+  "status": "open",
+  "answer": {
+    "current": null,
+    "confidence": "none",
+    "limitations": "Generalisierung muss gegenüber Learning-off und Sham-Replay getrennt werden."
+  },
+  "created": "2026-09-05",
+  "updated": "2026-09-05"
+}
+```
+
+## Experimental Design
+
+```json
+{
+  "experiment_id": "EXP-BATCH-20260909223705-36",
+  "research_question": "RQ-GEN-001",
+  "hypothesis": "H-GEN-001-A",
+  "title": "Experiment workflow: learning_generalization_v1",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "ticks_contract": "minimum requested observation window",
+  "seeds": [
+    101,
+    102,
+    103,
+    104,
+    105,
+    106,
+    107,
+    108,
+    109,
+    110,
+    111,
+    112,
+    113,
+    114,
+    115,
+    116,
+    117,
+    118,
+    119,
+    120
+  ],
+  "protocol": "learning_generalization_v1",
+  "resolved_runner": "run_generalization",
+  "tick_validation": {
+    "status": "NOT_APPLICABLE",
+    "mode": "protocol_defined_internal_trials",
+    "requested_ticks": 1000
+  },
+  "notes": "",
+  "execution": "registered experiment_suite runner",
+  "assistant_policy": "AI is post-hoc interpretation only.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
+```
+
+## Data Basis
+
+```json
+{
+  "data": {
+    "ai_input_policy": "compact_only_raw_on_explicit_deterministic_extract",
+    "generated_by": "deterministic_research_data_v2",
+    "limits": {
+      "ai_packet_max_bytes": 1000000,
+      "run_summary_max_bytes": 5000000,
+      "sequence_preview_items": 16
+    },
+    "raw_index": {
+      "path": "DATA/runs_index.json",
+      "run_count": 180,
+      "sha256": "69a80dd421e7f209eb75ddc444dc018225048e658f90f427d39511a5ac50a0a5"
+    },
+    "run_count": 180,
+    "run_preview": {
+      "_projection": "bounded_sequence",
+      "head": [
+        {
+          "_raw_artifact": {
+            "format": "json.gz",
+            "path": "DATA/raw/run-0000-learning_on_drive_0.85-seed-101.json.gz",
+            "sha256": "4aecda82f158fd36ed49cd31e8c0786bfe9f46f1328e6582065076d9408a7cbf",
+            "size_bytes": 461,
+            "uncompressed_bytes": 777
+          },
+          "condition": "learning_on_drive_0.85",
+          "experiment_id": "EXP-BATCH-20260909223705-36",
+          "metrics": {
+            "baseline_target_peak_v": -65.0,
+            "baseline_target_spike_tick": null,
+            "final_mean_weight": 0.517280469842843,
+            "generalization_success": true,
+            "held_out_perturbation": true,
+            "holdout_trial_count": 4,
+            "initial_mean_weight": 0.05,
+            "mean_weight_delta": 0.46728046984284305,
+            "p_success_after": 1.0,
+            "p_success_before": 0.0,
+            "probe_after_training_only": true,
+            "probe_drive_scale": 0.85,
+            "reward_weight_updates": 576,
+            "rewards_received": 12,
+            "success_after": true,
+            "success_before": false,
+            "train_trial_count": 12,
+            "trained_target_peak_v": 26.239795413974708,
+            "trained_target_spike_tick": 4,
+            "training_drive_scale": 1.0,
+            "validation_trial_count": 4
+          },
+          "runtime_error": null,
+          "seed": 101,
+          "state_digest_after": "",
+          "state_digest_before": ""
+        },
+        {
+          "_raw_artifact": {
+            "format": "json.gz",
+            "path": "DATA/raw/run-0001-learning_on_drive_1.00-seed-101.json.gz",
+            "sha256": "5214462fb3308dd4402f3fe80a3183af5954c5ddf4f07d92926c96d8f54a7456",
+            "size_bytes": 458,
+            "uncompressed_bytes": 777
+          },
+          "condition": "learning_on_drive_1.00",
+          "experiment_id": "EXP-BATCH-20260909223705-36",
+          "metrics": {
+            "baseline_target_peak_v": -65.0,
+            "baseline_target_spike_tick": null,
+            "final_mean_weight": 0.517280469842843,
+            "generalization_success": true,
+            "held_out_perturbation": false,
+            "holdout_trial_count": 4,
+            "initial_mean_weight": 0.05,
+            "mean_weight_delta": 0.46728046984284305,
+            "p_success_after": 1.0,
+            "p_success_before": 0.0,
+            "probe_after_training_only": true,
+            "probe_drive_scale": 1.0,
+            "reward_weight_updates": 576,
+            "rewards_received": 12,
+            "success_after": true,
+            "success_before": false,
+            "train_trial_count": 12,
+            "trained_target_peak_v": 26.239795413974708,
+            "trained_target_spike_tick": 4,
+            "training_drive_scale": 1.0,
+            "validation_trial_count": 4
+          },
+          "runtime_error": null,
+          "seed": 101,
+          "state_digest_after": "",
+          "state_digest_before": ""
+        },
+        {
+          "_raw_artifact": {
+            "format": "json.gz",
+            "path": "DATA/raw/run-0002-learning_on_drive_1.15-seed-101.json.gz",
+            "sha256": "6a8ac55615e357168f6d5ba62ab5f4bf9b5223b3d5449bfdfad4f30b612e3614",
+            "size_bytes": 461,
+            "uncompressed_bytes": 777
+          },
+          "condition": "learning_on_drive_1.15",
+          "experiment_id": "EXP-BATCH-20260909223705-36",
+          "metrics": {
+            "baseline_target_peak_v": -65.0,
+            "baseline_target_spike_tick": null,
+            "final_mean_weight": 0.517280469842843,
+            "generalization_success": true,
+            "held_out_perturbation": true,
+            "holdout_trial_count": 4,
+            "initial_mean_weight": 0.05,
+            "mean_weight_delta": 0.46728046984284305,
+            "p_success_after": 1.0,
+            "p_success_before": 0.0,
+            "probe_after_training_only": true,
+            "probe_drive_scale": 1.15,
+            "reward_weight_updates": 576,
+            "rewards_received": 12,
+            "success_after": true,
+            "success_before": false,
+            "train_trial_count": 12,
+            "trained_target_peak_v": 26.239795413974708,
+            "trained_target_spike_tick": 4,
+            "training_drive_scale": 1.0,
+            "validation_trial_count": 4
+          },
+          "runtime_error": null,
+          "seed": 101,
+          "state_digest_after": "",
+          "state_digest_before": ""
+        },
+        {
+          "_raw_artifact": {
+            "format": "json.gz",
+            "path": "DATA/raw/run-0003-learning_off_drive_0.85-seed-101.json.gz",
+            "sha256": "9617585620b3bf2be96c1e5e8b02d2abe41994c0bf15e043071aa64cab6c7cca",
+            "size_bytes": 421,
+            "uncompressed_bytes": 738
+          },
+          "condition": "learning_off_drive_0.85",
+          "experiment_id": "EXP-BATCH-20260909223705-36",
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+        "sham_replay_drive_1.00": {
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+            },
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+              "std": 0.0
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+          },
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+          "seeds": [
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+            105,
+            106,
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+            109,
+            110,
+            111,
+            112,
+            113,
+            114,
+            115,
+            116,
+            117,
+            118,
+            119,
+            120
+          ]
+        }
+      },
+      "formulas": {
+        "difference": "Delta_x = mean(x_B) - mean(x_A)",
+        "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+        "mean": "mean(x) = (1/n) * sum_i x_i",
+        "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+        "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+      },
+      "generated_by": "deterministic_statistics_engine",
+      "run_count": 180,
+      "schema_version": "2.0"
+    }
+  },
+  "evid": [],
+  "literature": []
+}
+```
+
+## Quantitative Results
+
+```json
+{
+  "conditions": {
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+          "n": 20,
+          "std": 0.0
+        },
+        "p_success_after": {
+          "max": 0.0,
+          "mean": 0.0,
+          "median": 0.0,
+          "min": 0.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "p_success_before": {
+          "max": 0.0,
+          "mean": 0.0,
+          "median": 0.0,
+          "min": 0.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "reward_weight_updates": {
+          "max": 0.0,
+          "mean": 0.0,
+          "median": 0.0,
+          "min": 0.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "rewards_received": {
+          "max": 12.0,
+          "mean": 12.0,
+          "median": 12.0,
+          "min": 12.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "train_trial_count": {
+          "max": 12.0,
+          "mean": 12.0,
+          "median": 12.0,
+          "min": 12.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "validation_trial_count": {
+          "max": 4.0,
+          "mean": 4.0,
+          "median": 4.0,
+          "min": 4.0,
+          "n": 20,
+          "std": 0.0
+        }
+      },
+      "run_count": 20,
+      "seeds": [
+        101,
+        102,
+        103,
+        104,
+        105,
+        106,
+        107,
+        108,
+        109,
+        110,
+        111,
+        112,
+        113,
+        114,
+        115,
+        116,
+        117,
+        118,
+        119,
+        120
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "run_count": 180,
+  "schema_version": "2.0"
+}
+```
+
+## Observations
+
+```json
+[]
+```
+
+## Interpretation
+
+```json
+{
+  "assessment": "Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+  "observations": [],
+  "effect_direction": "not_determined",
+  "methodological_concerns": [
+    "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+    "Technical reason: TimeoutError: timed out"
+  ],
+  "alternative_explanations": [],
+  "recommended_experiments": [],
+  "requested_evidence": [
+    "Run the role again with a schema-conforming backend response.",
+    "Complete mandatory human review before interpreting this report."
+  ],
+  "confidence": 0.0,
+  "analysis_unavailable": true
+}
+```
+
+## Methodological Critique
+
+```json
+[
+  "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+  "Technical reason: TimeoutError: timed out"
+]
+```
+
+## Alternative Explanations
+
+```json
+[]
+```
+
+## Reproducibility
+
+```json
+{
+  "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+  "experiment_status": "completed",
+  "evidence_mode": "not_reported",
+  "git_dirty": "True",
+  "source_freeze_sha": "0efd5d52b6ddeed37ab4737b46f241c0aa5112841092e0bbd9829456b899ea81",
+  "configuration_path": "F:\\Brain-5D\\configs\\learning_experiment.yaml",
+  "configuration_sha256": "6f6cd457caf6216c286fee47ef03b529a0b496ed2dd53ee96b85d3b51e7b3a1c",
+  "experiment_manifest_digest": "28f3b11e8d798ee4e3c7e2f62f73dc7b9b681fce4b0fa72792f4f6b2ec093d10",
+  "data_ids": "NOT_AVAILABLE",
+  "evid_ids": "NOT_AVAILABLE",
+  "protocol_id": "NOT_AVAILABLE",
+  "protocol_digest": "448c5a06df7f7e39964185f6a5e2c7a8e8331586aae381105354c4cfd3db77c0",
+  "data_digest": "29739018a00e5ab4b474d62ea1095dc6682a7bd445c2ce04938496fa282346cc",
+  "evid_digests": "[]"
+}
+```
+
+## Epistemic Status
+
+```json
+{
+  "implementation": "NOT_DETERMINED",
+  "experiment_data": "PRESENT",
+  "registered_evidence": "ABSENT",
+  "ai_interpretation": "PRESENT",
+  "human_review": "PENDING",
+  "claim_support": "NOT_DETERMINED",
+  "rq_status": "IN_PROGRESS"
+}
+```
+
+## Missing Evidence
+
+```json
+[
+  "Run the role again with a schema-conforming backend response.",
+  "Complete mandatory human review before interpreting this report."
+]
+```
+
+## Recommended Follow-up Experiments
+
+```json
+[]
+```
+
+## Conclusion
+
+```json
+"Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor."
+```
+
+## Human Review
+
+```json
+{
+  "status": "PENDING",
+  "reviewer": null,
+  "reviewed_at": null,
+  "disposition": null,
+  "comments": null
+}
+```
+
+AI confidence: 0.0
+This value describes internal AI confidence and is not a statistical confidence interval.
+
+Content digest: dbc61a265307c058de919f77b6ff55cbadbf83c207d36d733848d44acd9a13cd
+JSON/Markdown link digest: d25295ab4a9ed6178f91a28e2231870f5e713042adf65ebe99f8468736f083ec
diff --git a/research/experiments/EXP-BATCH-20260909223705-36/reports/AIRR-2026-0001.review.json b/research/experiments/EXP-BATCH-20260909223705-36/reports/AIRR-2026-0001.review.json
new file mode 100644
index 0000000000000000000000000000000000000000..3737519c1afc9e2095e834bec1bcf65c9a07b1b3
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-36/reports/AIRR-2026-0001.review.json
@@ -0,0 +1,8 @@
+{
+  "report_id": "AIRR-2026-0001",
+  "review_status": "accepted_as_interpretation",
+  "reviewer": "Thomas Heisig",
+  "reviewed_at": "2026-09-10T06:05:25.156454+00:00",
+  "comments": "Fehler",
+  "report_content_digest": "dbc61a265307c058de919f77b6ff55cbadbf83c207d36d733848d44acd9a13cd"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-36/summary.md b/research/experiments/EXP-BATCH-20260909223705-36/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..0e5e2eba54a88ef92cc656ea725f270a5f842c39
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-36/summary.md
@@ -0,0 +1,491 @@
+# EXP-BATCH-20260909223705-36: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-GEN-001`
+- Hypothese: `H-GEN-001-A`
+- Protokoll: `learning_generalization_v1`
+- Durchlaeufe: `180`
+- Seeds: `[101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120]`
+- Angeforderte Ticks: `1000`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `nicht direkt messbar .. nicht direkt messbar` ausgeführte Ticks
+- Tick-Vertrag: `NOT_APPLICABLE`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `CONFIRMATORY`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `DIRECT_MATCH`
+- Evidence Readiness: `BLOCKED_DIRTY_SOURCE_TREE`
+- Begründung: GEN-001 erwartet Learning-on, Learning-off und Sham-Replay über registrierte Perturbationsproben.
+- Beobachtete Conditions: `learning_off_drive_0.85, learning_off_drive_1.00, learning_off_drive_1.15, learning_on_drive_0.85, learning_on_drive_1.00, learning_on_drive_1.15, sham_replay_drive_0.85, sham_replay_drive_1.00, sham_replay_drive_1.15`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: learning_generalization_v1
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `F:\Brain-5D\configs\learning_experiment.yaml`
+- Config SHA-256: `6f6cd457caf6216c286fee47ef03b529a0b496ed2dd53ee96b85d3b51e7b3a1c`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `1.7243159000063315` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| learning_off_drive_0.85 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | — | — | — | — | — | — |
+| learning_off_drive_1.00 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | — | — | — | — | — | — |
+| learning_off_drive_1.15 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | — | — | — | — | — | — |
+| learning_on_drive_0.85 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | — | — | — | — | — | — |
+| learning_on_drive_1.00 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | — | — | — | — | — | — |
+| learning_on_drive_1.15 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | — | — | — | — | — | — |
+| sham_replay_drive_0.85 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | — | — | — | — | — | — |
+| sham_replay_drive_1.00 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | — | — | — | — | — | — |
+| sham_replay_drive_1.15 | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | — | — | — | — | — | — |
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 101 | learning_on_drive_0.85 | — | — | — | — | — | — | — |
+| 101 | learning_on_drive_1.00 | — | — | — | — | — | — | — |
+| 101 | learning_on_drive_1.15 | — | — | — | — | — | — | — |
+| 101 | learning_off_drive_0.85 | — | — | — | — | — | — | — |
+| 101 | learning_off_drive_1.00 | — | — | — | — | — | — | — |
+| 101 | learning_off_drive_1.15 | — | — | — | — | — | — | — |
+| 101 | sham_replay_drive_0.85 | — | — | — | — | — | — | — |
+| 101 | sham_replay_drive_1.00 | — | — | — | — | — | — | — |
+| 101 | sham_replay_drive_1.15 | — | — | — | — | — | — | — |
+| 102 | learning_on_drive_0.85 | — | — | — | — | — | — | — |
+| 102 | learning_on_drive_1.00 | — | — | — | — | — | — | — |
+| 102 | learning_on_drive_1.15 | — | — | — | — | — | — | — |
+| 102 | learning_off_drive_0.85 | — | — | — | — | — | — | — |
+| 102 | learning_off_drive_1.00 | — | — | — | — | — | — | — |
+| 102 | learning_off_drive_1.15 | — | — | — | — | — | — | — |
+| 102 | sham_replay_drive_0.85 | — | — | — | — | — | — | — |
+| 102 | sham_replay_drive_1.00 | — | — | — | — | — | — | — |
+| 102 | sham_replay_drive_1.15 | — | — | — | — | — | — | — |
+| 103 | learning_on_drive_0.85 | — | — | — | — | — | — | — |
+| 103 | learning_on_drive_1.00 | — | — | — | — | — | — | — |
+| 103 | learning_on_drive_1.15 | — | — | — | — | — | — | — |
+| 103 | learning_off_drive_0.85 | — | — | — | — | — | — | — |
+| 103 | learning_off_drive_1.00 | — | — | — | — | — | — | — |
+| 103 | learning_off_drive_1.15 | — | — | — | — | — | — | — |
+| 103 | sham_replay_drive_0.85 | — | — | — | — | — | — | — |
+| 103 | sham_replay_drive_1.00 | — | — | — | — | — | — | — |
+| 103 | sham_replay_drive_1.15 | — | — | — | — | — | — | — |
+| 104 | learning_on_drive_0.85 | — | — | — | — | — | — | — |
+| 104 | learning_on_drive_1.00 | — | — | — | — | — | — | — |
+| 104 | learning_on_drive_1.15 | — | — | — | — | — | — | — |
+| 104 | learning_off_drive_0.85 | — | — | — | — | — | — | — |
+| 104 | learning_off_drive_1.00 | — | — | — | — | — | — | — |
+| 104 | learning_off_drive_1.15 | — | — | — | — | — | — | — |
+| 104 | sham_replay_drive_0.85 | — | — | — | — | — | — | — |
+| 104 | sham_replay_drive_1.00 | — | — | — | — | — | — | — |
+| 104 | sham_replay_drive_1.15 | — | — | — | — | — | — | — |
+| 105 | learning_on_drive_0.85 | — | — | — | — | — | — | — |
+| 105 | learning_on_drive_1.00 | — | — | — | — | — | — | — |
+| 105 | learning_on_drive_1.15 | — | — | — | — | — | — | — |
+| 105 | learning_off_drive_0.85 | — | — | — | — | — | — | — |
+| 105 | learning_off_drive_1.00 | — | — | — | — | — | — | — |
+| 105 | learning_off_drive_1.15 | — | — | — | — | — | — | — |
+| 105 | sham_replay_drive_0.85 | — | — | — | — | — | — | — |
+| 105 | sham_replay_drive_1.00 | — | — | — | — | — | — | — |
+| 105 | sham_replay_drive_1.15 | — | — | — | — | — | — | — |
+| 106 | learning_on_drive_0.85 | — | — | — | — | — | — | — |
+| 106 | learning_on_drive_1.00 | — | — | — | — | — | — | — |
+| 106 | learning_on_drive_1.15 | — | — | — | — | — | — | — |
+| 106 | learning_off_drive_0.85 | — | — | — | — | — | — | — |
+| 106 | learning_off_drive_1.00 | — | — | — | — | — | — | — |
+| 106 | learning_off_drive_1.15 | — | — | — | — | — | — | — |
+| 106 | sham_replay_drive_0.85 | — | — | — | — | — | — | — |
+| 106 | sham_replay_drive_1.00 | — | — | — | — | — | — | — |
+| 106 | sham_replay_drive_1.15 | — | — | — | — | — | — | — |
+| 107 | learning_on_drive_0.85 | — | — | — | — | — | — | — |
+| 107 | learning_on_drive_1.00 | — | — | — | — | — | — | — |
+| 107 | learning_on_drive_1.15 | — | — | — | — | — | — | — |
+| 107 | learning_off_drive_0.85 | — | — | — | — | — | — | — |
+| 107 | learning_off_drive_1.00 | — | — | — | — | — | — | — |
+| 107 | learning_off_drive_1.15 | — | — | — | — | — | — | — |
+| 107 | sham_replay_drive_0.85 | — | — | — | — | — | — | — |
+| 107 | sham_replay_drive_1.00 | — | — | — | — | — | — | — |
+| 107 | sham_replay_drive_1.15 | — | — | — | — | — | — | — |
+| 108 | learning_on_drive_0.85 | — | — | — | — | — | — | — |
+| 108 | learning_on_drive_1.00 | — | — | — | — | — | — | — |
+| 108 | learning_on_drive_1.15 | — | — | — | — | — | — | — |
+| 108 | learning_off_drive_0.85 | — | — | — | — | — | — | — |
+| 108 | learning_off_drive_1.00 | — | — | — | — | — | — | — |
+| 108 | learning_off_drive_1.15 | — | — | — | — | — | — | — |
+| 108 | sham_replay_drive_0.85 | — | — | — | — | — | — | — |
+| 108 | sham_replay_drive_1.00 | — | — | — | — | — | — | — |
+| 108 | sham_replay_drive_1.15 | — | — | — | — | — | — | — |
+| 109 | learning_on_drive_0.85 | — | — | — | — | — | — | — |
+| 109 | learning_on_drive_1.00 | — | — | — | — | — | — | — |
+| 109 | learning_on_drive_1.15 | — | — | — | — | — | — | — |
+| 109 | learning_off_drive_0.85 | — | — | — | — | — | — | — |
+| 109 | learning_off_drive_1.00 | — | — | — | — | — | — | — |
+| 109 | learning_off_drive_1.15 | — | — | — | — | — | — | — |
+| 109 | sham_replay_drive_0.85 | — | — | — | — | — | — | — |
+| 109 | sham_replay_drive_1.00 | — | — | — | — | — | — | — |
+| 109 | sham_replay_drive_1.15 | — | — | — | — | — | — | — |
+| 110 | learning_on_drive_0.85 | — | — | — | — | — | — | — |
+| 110 | learning_on_drive_1.00 | — | — | — | — | — | — | — |
+| 110 | learning_on_drive_1.15 | — | — | — | — | — | — | — |
+| 110 | learning_off_drive_0.85 | — | — | — | — | — | — | — |
+| 110 | learning_off_drive_1.00 | — | — | — | — | — | — | — |
+| 110 | learning_off_drive_1.15 | — | — | — | — | — | — | — |
+| 110 | sham_replay_drive_0.85 | — | — | — | — | — | — | — |
+| 110 | sham_replay_drive_1.00 | — | — | — | — | — | — | — |
+| 110 | sham_replay_drive_1.15 | — | — | — | — | — | — | — |
+| 111 | learning_on_drive_0.85 | — | — | — | — | — | — | — |
+| 111 | learning_on_drive_1.00 | — | — | — | — | — | — | — |
+| 111 | learning_on_drive_1.15 | — | — | — | — | — | — | — |
+| 111 | learning_off_drive_0.85 | — | — | — | — | — | — | — |
+| 111 | learning_off_drive_1.00 | — | — | — | — | — | — | — |
+| 111 | learning_off_drive_1.15 | — | — | — | — | — | — | — |
+| 111 | sham_replay_drive_0.85 | — | — | — | — | — | — | — |
+| 111 | sham_replay_drive_1.00 | — | — | — | — | — | — | — |
+| 111 | sham_replay_drive_1.15 | — | — | — | — | — | — | — |
+| 112 | learning_on_drive_0.85 | — | — | — | — | — | — | — |
+| 112 | learning_on_drive_1.00 | — | — | — | — | — | — | — |
+| 112 | learning_on_drive_1.15 | — | — | — | — | — | — | — |
+| 112 | learning_off_drive_0.85 | — | — | — | — | — | — | — |
+| 112 | learning_off_drive_1.00 | — | — | — | — | — | — | — |
+| 112 | learning_off_drive_1.15 | — | — | — | — | — | — | — |
+| 112 | sham_replay_drive_0.85 | — | — | — | — | — | — | — |
+| 112 | sham_replay_drive_1.00 | — | — | — | — | — | — | — |
+| 112 | sham_replay_drive_1.15 | — | — | — | — | — | — | — |
+| 113 | learning_on_drive_0.85 | — | — | — | — | — | — | — |
+| 113 | learning_on_drive_1.00 | — | — | — | — | — | — | — |
+| 113 | learning_on_drive_1.15 | — | — | — | — | — | — | — |
+| 113 | learning_off_drive_0.85 | — | — | — | — | — | — | — |
+| 113 | learning_off_drive_1.00 | — | — | — | — | — | — | — |
+| 113 | learning_off_drive_1.15 | — | — | — | — | — | — | — |
+| 113 | sham_replay_drive_0.85 | — | — | — | — | — | — | — |
+| 113 | sham_replay_drive_1.00 | — | — | — | — | — | — | — |
+| 113 | sham_replay_drive_1.15 | — | — | — | — | — | — | — |
+| 114 | learning_on_drive_0.85 | — | — | — | — | — | — | — |
+| 114 | learning_on_drive_1.00 | — | — | — | — | — | — | — |
+| 114 | learning_on_drive_1.15 | — | — | — | — | — | — | — |
+| 114 | learning_off_drive_0.85 | — | — | — | — | — | — | — |
+| 114 | learning_off_drive_1.00 | — | — | — | — | — | — | — |
+| 114 | learning_off_drive_1.15 | — | — | — | — | — | — | — |
+| 114 | sham_replay_drive_0.85 | — | — | — | — | — | — | — |
+| 114 | sham_replay_drive_1.00 | — | — | — | — | — | — | — |
+| 114 | sham_replay_drive_1.15 | — | — | — | — | — | — | — |
+| 115 | learning_on_drive_0.85 | — | — | — | — | — | — | — |
+| 115 | learning_on_drive_1.00 | — | — | — | — | — | — | — |
+| 115 | learning_on_drive_1.15 | — | — | — | — | — | — | — |
+| 115 | learning_off_drive_0.85 | — | — | — | — | — | — | — |
+| 115 | learning_off_drive_1.00 | — | — | — | — | — | — | — |
+| 115 | learning_off_drive_1.15 | — | — | — | — | — | — | — |
+| 115 | sham_replay_drive_0.85 | — | — | — | — | — | — | — |
+| 115 | sham_replay_drive_1.00 | — | — | — | — | — | — | — |
+| 115 | sham_replay_drive_1.15 | — | — | — | — | — | — | — |
+| 116 | learning_on_drive_0.85 | — | — | — | — | — | — | — |
+| 116 | learning_on_drive_1.00 | — | — | — | — | — | — | — |
+| 116 | learning_on_drive_1.15 | — | — | — | — | — | — | — |
+| 116 | learning_off_drive_0.85 | — | — | — | — | — | — | — |
+| 116 | learning_off_drive_1.00 | — | — | — | — | — | — | — |
+| 116 | learning_off_drive_1.15 | — | — | — | — | — | — | — |
+| 116 | sham_replay_drive_0.85 | — | — | — | — | — | — | — |
+| 116 | sham_replay_drive_1.00 | — | — | — | — | — | — | — |
+| 116 | sham_replay_drive_1.15 | — | — | — | — | — | — | — |
+| 117 | learning_on_drive_0.85 | — | — | — | — | — | — | — |
+| 117 | learning_on_drive_1.00 | — | — | — | — | — | — | — |
+| 117 | learning_on_drive_1.15 | — | — | — | — | — | — | — |
+| 117 | learning_off_drive_0.85 | — | — | — | — | — | — | — |
+| 117 | learning_off_drive_1.00 | — | — | — | — | — | — | — |
+| 117 | learning_off_drive_1.15 | — | — | — | — | — | — | — |
+| 117 | sham_replay_drive_0.85 | — | — | — | — | — | — | — |
+| 117 | sham_replay_drive_1.00 | — | — | — | — | — | — | — |
+| 117 | sham_replay_drive_1.15 | — | — | — | — | — | — | — |
+| 118 | learning_on_drive_0.85 | — | — | — | — | — | — | — |
+| 118 | learning_on_drive_1.00 | — | — | — | — | — | — | — |
+| 118 | learning_on_drive_1.15 | — | — | — | — | — | — | — |
+| 118 | learning_off_drive_0.85 | — | — | — | — | — | — | — |
+| 118 | learning_off_drive_1.00 | — | — | — | — | — | — | — |
+| 118 | learning_off_drive_1.15 | — | — | — | — | — | — | — |
+| 118 | sham_replay_drive_0.85 | — | — | — | — | — | — | — |
+| 118 | sham_replay_drive_1.00 | — | — | — | — | — | — | — |
+| 118 | sham_replay_drive_1.15 | — | — | — | — | — | — | — |
+| 119 | learning_on_drive_0.85 | — | — | — | — | — | — | — |
+| 119 | learning_on_drive_1.00 | — | — | — | — | — | — | — |
+| 119 | learning_on_drive_1.15 | — | — | — | — | — | — | — |
+| 119 | learning_off_drive_0.85 | — | — | — | — | — | — | — |
+| 119 | learning_off_drive_1.00 | — | — | — | — | — | — | — |
+| 119 | learning_off_drive_1.15 | — | — | — | — | — | — | — |
+| 119 | sham_replay_drive_0.85 | — | — | — | — | — | — | — |
+| 119 | sham_replay_drive_1.00 | — | — | — | — | — | — | — |
+| 119 | sham_replay_drive_1.15 | — | — | — | — | — | — | — |
+| 120 | learning_on_drive_0.85 | — | — | — | — | — | — | — |
+| 120 | learning_on_drive_1.00 | — | — | — | — | — | — | — |
+| 120 | learning_on_drive_1.15 | — | — | — | — | — | — | — |
+| 120 | learning_off_drive_0.85 | — | — | — | — | — | — | — |
+| 120 | learning_off_drive_1.00 | — | — | — | — | — | — | — |
+| 120 | learning_off_drive_1.15 | — | — | — | — | — | — | — |
+| 120 | sham_replay_drive_0.85 | — | — | — | — | — | — | — |
+| 120 | sham_replay_drive_1.00 | — | — | — | — | — | — | — |
+| 120 | sham_replay_drive_1.15 | — | — | — | — | — | — | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `generated`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+- AIRR Markdown: [`reports/AIRR-2026-0001.md`](reports/AIRR-2026-0001.md)
+- AIRR JSON: [`reports/AIRR-2026-0001.json`](reports/AIRR-2026-0001.json)
+
+### 8.1 KI-Einschaetzung
+
+Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.
+
+KI-Konfidenz: `0.0` — dies ist keine statistische Konfidenz.
+
+### Methodische Kritik
+
+- AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.
+- Technical reason: TimeoutError: timed out
+
+### Alternative Erklaerungen
+
+- Keine expliziten Angaben.
+
+### Fehlende Nachweise
+
+- Run the role again with a schema-conforming backend response.
+- Complete mandatory human review before interpreting this report.
+
+### Empfohlene Folgeexperimente
+
+- Keine expliziten Folgeexperimente im AIRR angegeben.
+
+## 9. Artefakte
+
+- [analysis/ai_packet.json](analysis/ai_packet.json)
+- [analysis/ai_packet_digest.json](analysis/ai_packet_digest.json)
+- [analysis/AIAR-critical_reviewer-20260910013350781285-75f86d8c.json](analysis/AIAR-critical_reviewer-20260910013350781285-75f86d8c.json)
+- [analysis/AIAR-scientific_analyst-20260910013250763607-75f86d8c.json](analysis/AIAR-scientific_analyst-20260910013250763607-75f86d8c.json)
+- [analysis/AIAR-scientific_writer-20260910013450831680-75f86d8c.json](analysis/AIAR-scientific_writer-20260910013450831680-75f86d8c.json)
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/current_run.json](DATA/current_run.json)
+- [DATA/raw/run-0000-learning_on_drive_0.85-seed-101.json.gz](DATA/raw/run-0000-learning_on_drive_0.85-seed-101.json.gz)
+- [DATA/raw/run-0001-learning_on_drive_1.00-seed-101.json.gz](DATA/raw/run-0001-learning_on_drive_1.00-seed-101.json.gz)
+- [DATA/raw/run-0002-learning_on_drive_1.15-seed-101.json.gz](DATA/raw/run-0002-learning_on_drive_1.15-seed-101.json.gz)
+- [DATA/raw/run-0003-learning_off_drive_0.85-seed-101.json.gz](DATA/raw/run-0003-learning_off_drive_0.85-seed-101.json.gz)
+- [DATA/raw/run-0004-learning_off_drive_1.00-seed-101.json.gz](DATA/raw/run-0004-learning_off_drive_1.00-seed-101.json.gz)
+- [DATA/raw/run-0005-learning_off_drive_1.15-seed-101.json.gz](DATA/raw/run-0005-learning_off_drive_1.15-seed-101.json.gz)
+- [DATA/raw/run-0006-sham_replay_drive_0.85-seed-101.json.gz](DATA/raw/run-0006-sham_replay_drive_0.85-seed-101.json.gz)
+- [DATA/raw/run-0007-sham_replay_drive_1.00-seed-101.json.gz](DATA/raw/run-0007-sham_replay_drive_1.00-seed-101.json.gz)
+- [DATA/raw/run-0008-sham_replay_drive_1.15-seed-101.json.gz](DATA/raw/run-0008-sham_replay_drive_1.15-seed-101.json.gz)
+- [DATA/raw/run-0009-learning_on_drive_0.85-seed-102.json.gz](DATA/raw/run-0009-learning_on_drive_0.85-seed-102.json.gz)
+- [DATA/raw/run-0010-learning_on_drive_1.00-seed-102.json.gz](DATA/raw/run-0010-learning_on_drive_1.00-seed-102.json.gz)
+- [DATA/raw/run-0011-learning_on_drive_1.15-seed-102.json.gz](DATA/raw/run-0011-learning_on_drive_1.15-seed-102.json.gz)
+- [DATA/raw/run-0012-learning_off_drive_0.85-seed-102.json.gz](DATA/raw/run-0012-learning_off_drive_0.85-seed-102.json.gz)
+- [DATA/raw/run-0013-learning_off_drive_1.00-seed-102.json.gz](DATA/raw/run-0013-learning_off_drive_1.00-seed-102.json.gz)
+- [DATA/raw/run-0014-learning_off_drive_1.15-seed-102.json.gz](DATA/raw/run-0014-learning_off_drive_1.15-seed-102.json.gz)
+- [DATA/raw/run-0015-sham_replay_drive_0.85-seed-102.json.gz](DATA/raw/run-0015-sham_replay_drive_0.85-seed-102.json.gz)
+- [DATA/raw/run-0016-sham_replay_drive_1.00-seed-102.json.gz](DATA/raw/run-0016-sham_replay_drive_1.00-seed-102.json.gz)
+- [DATA/raw/run-0017-sham_replay_drive_1.15-seed-102.json.gz](DATA/raw/run-0017-sham_replay_drive_1.15-seed-102.json.gz)
+- [DATA/raw/run-0018-learning_on_drive_0.85-seed-103.json.gz](DATA/raw/run-0018-learning_on_drive_0.85-seed-103.json.gz)
+- [DATA/raw/run-0019-learning_on_drive_1.00-seed-103.json.gz](DATA/raw/run-0019-learning_on_drive_1.00-seed-103.json.gz)
+- [DATA/raw/run-0020-learning_on_drive_1.15-seed-103.json.gz](DATA/raw/run-0020-learning_on_drive_1.15-seed-103.json.gz)
+- [DATA/raw/run-0021-learning_off_drive_0.85-seed-103.json.gz](DATA/raw/run-0021-learning_off_drive_0.85-seed-103.json.gz)
+- [DATA/raw/run-0022-learning_off_drive_1.00-seed-103.json.gz](DATA/raw/run-0022-learning_off_drive_1.00-seed-103.json.gz)
+- [DATA/raw/run-0023-learning_off_drive_1.15-seed-103.json.gz](DATA/raw/run-0023-learning_off_drive_1.15-seed-103.json.gz)
+- [DATA/raw/run-0024-sham_replay_drive_0.85-seed-103.json.gz](DATA/raw/run-0024-sham_replay_drive_0.85-seed-103.json.gz)
+- [DATA/raw/run-0025-sham_replay_drive_1.00-seed-103.json.gz](DATA/raw/run-0025-sham_replay_drive_1.00-seed-103.json.gz)
+- [DATA/raw/run-0026-sham_replay_drive_1.15-seed-103.json.gz](DATA/raw/run-0026-sham_replay_drive_1.15-seed-103.json.gz)
+- [DATA/raw/run-0027-learning_on_drive_0.85-seed-104.json.gz](DATA/raw/run-0027-learning_on_drive_0.85-seed-104.json.gz)
+- [DATA/raw/run-0028-learning_on_drive_1.00-seed-104.json.gz](DATA/raw/run-0028-learning_on_drive_1.00-seed-104.json.gz)
+- [DATA/raw/run-0029-learning_on_drive_1.15-seed-104.json.gz](DATA/raw/run-0029-learning_on_drive_1.15-seed-104.json.gz)
+- [DATA/raw/run-0030-learning_off_drive_0.85-seed-104.json.gz](DATA/raw/run-0030-learning_off_drive_0.85-seed-104.json.gz)
+- [DATA/raw/run-0031-learning_off_drive_1.00-seed-104.json.gz](DATA/raw/run-0031-learning_off_drive_1.00-seed-104.json.gz)
+- [DATA/raw/run-0032-learning_off_drive_1.15-seed-104.json.gz](DATA/raw/run-0032-learning_off_drive_1.15-seed-104.json.gz)
+- [DATA/raw/run-0033-sham_replay_drive_0.85-seed-104.json.gz](DATA/raw/run-0033-sham_replay_drive_0.85-seed-104.json.gz)
+- [DATA/raw/run-0034-sham_replay_drive_1.00-seed-104.json.gz](DATA/raw/run-0034-sham_replay_drive_1.00-seed-104.json.gz)
+- [DATA/raw/run-0035-sham_replay_drive_1.15-seed-104.json.gz](DATA/raw/run-0035-sham_replay_drive_1.15-seed-104.json.gz)
+- [DATA/raw/run-0036-learning_on_drive_0.85-seed-105.json.gz](DATA/raw/run-0036-learning_on_drive_0.85-seed-105.json.gz)
+- [DATA/raw/run-0037-learning_on_drive_1.00-seed-105.json.gz](DATA/raw/run-0037-learning_on_drive_1.00-seed-105.json.gz)
+- [DATA/raw/run-0038-learning_on_drive_1.15-seed-105.json.gz](DATA/raw/run-0038-learning_on_drive_1.15-seed-105.json.gz)
+- [DATA/raw/run-0039-learning_off_drive_0.85-seed-105.json.gz](DATA/raw/run-0039-learning_off_drive_0.85-seed-105.json.gz)
+- [DATA/raw/run-0040-learning_off_drive_1.00-seed-105.json.gz](DATA/raw/run-0040-learning_off_drive_1.00-seed-105.json.gz)
+- [DATA/raw/run-0041-learning_off_drive_1.15-seed-105.json.gz](DATA/raw/run-0041-learning_off_drive_1.15-seed-105.json.gz)
+- [DATA/raw/run-0042-sham_replay_drive_0.85-seed-105.json.gz](DATA/raw/run-0042-sham_replay_drive_0.85-seed-105.json.gz)
+- [DATA/raw/run-0043-sham_replay_drive_1.00-seed-105.json.gz](DATA/raw/run-0043-sham_replay_drive_1.00-seed-105.json.gz)
+- [DATA/raw/run-0044-sham_replay_drive_1.15-seed-105.json.gz](DATA/raw/run-0044-sham_replay_drive_1.15-seed-105.json.gz)
+- [DATA/raw/run-0045-learning_on_drive_0.85-seed-106.json.gz](DATA/raw/run-0045-learning_on_drive_0.85-seed-106.json.gz)
+- [DATA/raw/run-0046-learning_on_drive_1.00-seed-106.json.gz](DATA/raw/run-0046-learning_on_drive_1.00-seed-106.json.gz)
+- [DATA/raw/run-0047-learning_on_drive_1.15-seed-106.json.gz](DATA/raw/run-0047-learning_on_drive_1.15-seed-106.json.gz)
+- [DATA/raw/run-0048-learning_off_drive_0.85-seed-106.json.gz](DATA/raw/run-0048-learning_off_drive_0.85-seed-106.json.gz)
+- [DATA/raw/run-0049-learning_off_drive_1.00-seed-106.json.gz](DATA/raw/run-0049-learning_off_drive_1.00-seed-106.json.gz)
+- [DATA/raw/run-0050-learning_off_drive_1.15-seed-106.json.gz](DATA/raw/run-0050-learning_off_drive_1.15-seed-106.json.gz)
+- [DATA/raw/run-0051-sham_replay_drive_0.85-seed-106.json.gz](DATA/raw/run-0051-sham_replay_drive_0.85-seed-106.json.gz)
+- [DATA/raw/run-0052-sham_replay_drive_1.00-seed-106.json.gz](DATA/raw/run-0052-sham_replay_drive_1.00-seed-106.json.gz)
+- [DATA/raw/run-0053-sham_replay_drive_1.15-seed-106.json.gz](DATA/raw/run-0053-sham_replay_drive_1.15-seed-106.json.gz)
+- [DATA/raw/run-0054-learning_on_drive_0.85-seed-107.json.gz](DATA/raw/run-0054-learning_on_drive_0.85-seed-107.json.gz)
+- [DATA/raw/run-0055-learning_on_drive_1.00-seed-107.json.gz](DATA/raw/run-0055-learning_on_drive_1.00-seed-107.json.gz)
+- [DATA/raw/run-0056-learning_on_drive_1.15-seed-107.json.gz](DATA/raw/run-0056-learning_on_drive_1.15-seed-107.json.gz)
+- [DATA/raw/run-0057-learning_off_drive_0.85-seed-107.json.gz](DATA/raw/run-0057-learning_off_drive_0.85-seed-107.json.gz)
+- [DATA/raw/run-0058-learning_off_drive_1.00-seed-107.json.gz](DATA/raw/run-0058-learning_off_drive_1.00-seed-107.json.gz)
+- [DATA/raw/run-0059-learning_off_drive_1.15-seed-107.json.gz](DATA/raw/run-0059-learning_off_drive_1.15-seed-107.json.gz)
+- [DATA/raw/run-0060-sham_replay_drive_0.85-seed-107.json.gz](DATA/raw/run-0060-sham_replay_drive_0.85-seed-107.json.gz)
+- [DATA/raw/run-0061-sham_replay_drive_1.00-seed-107.json.gz](DATA/raw/run-0061-sham_replay_drive_1.00-seed-107.json.gz)
+- [DATA/raw/run-0062-sham_replay_drive_1.15-seed-107.json.gz](DATA/raw/run-0062-sham_replay_drive_1.15-seed-107.json.gz)
+- [DATA/raw/run-0063-learning_on_drive_0.85-seed-108.json.gz](DATA/raw/run-0063-learning_on_drive_0.85-seed-108.json.gz)
+- [DATA/raw/run-0064-learning_on_drive_1.00-seed-108.json.gz](DATA/raw/run-0064-learning_on_drive_1.00-seed-108.json.gz)
+- [DATA/raw/run-0065-learning_on_drive_1.15-seed-108.json.gz](DATA/raw/run-0065-learning_on_drive_1.15-seed-108.json.gz)
+- [DATA/raw/run-0066-learning_off_drive_0.85-seed-108.json.gz](DATA/raw/run-0066-learning_off_drive_0.85-seed-108.json.gz)
+- [DATA/raw/run-0067-learning_off_drive_1.00-seed-108.json.gz](DATA/raw/run-0067-learning_off_drive_1.00-seed-108.json.gz)
+- [DATA/raw/run-0068-learning_off_drive_1.15-seed-108.json.gz](DATA/raw/run-0068-learning_off_drive_1.15-seed-108.json.gz)
+- [DATA/raw/run-0069-sham_replay_drive_0.85-seed-108.json.gz](DATA/raw/run-0069-sham_replay_drive_0.85-seed-108.json.gz)
+- [DATA/raw/run-0070-sham_replay_drive_1.00-seed-108.json.gz](DATA/raw/run-0070-sham_replay_drive_1.00-seed-108.json.gz)
+- [DATA/raw/run-0071-sham_replay_drive_1.15-seed-108.json.gz](DATA/raw/run-0071-sham_replay_drive_1.15-seed-108.json.gz)
+- [DATA/raw/run-0072-learning_on_drive_0.85-seed-109.json.gz](DATA/raw/run-0072-learning_on_drive_0.85-seed-109.json.gz)
+- [DATA/raw/run-0073-learning_on_drive_1.00-seed-109.json.gz](DATA/raw/run-0073-learning_on_drive_1.00-seed-109.json.gz)
+- [DATA/raw/run-0074-learning_on_drive_1.15-seed-109.json.gz](DATA/raw/run-0074-learning_on_drive_1.15-seed-109.json.gz)
+- [DATA/raw/run-0075-learning_off_drive_0.85-seed-109.json.gz](DATA/raw/run-0075-learning_off_drive_0.85-seed-109.json.gz)
+- [DATA/raw/run-0076-learning_off_drive_1.00-seed-109.json.gz](DATA/raw/run-0076-learning_off_drive_1.00-seed-109.json.gz)
+- [DATA/raw/run-0077-learning_off_drive_1.15-seed-109.json.gz](DATA/raw/run-0077-learning_off_drive_1.15-seed-109.json.gz)
+- [DATA/raw/run-0078-sham_replay_drive_0.85-seed-109.json.gz](DATA/raw/run-0078-sham_replay_drive_0.85-seed-109.json.gz)
+- [DATA/raw/run-0079-sham_replay_drive_1.00-seed-109.json.gz](DATA/raw/run-0079-sham_replay_drive_1.00-seed-109.json.gz)
+- [DATA/raw/run-0080-sham_replay_drive_1.15-seed-109.json.gz](DATA/raw/run-0080-sham_replay_drive_1.15-seed-109.json.gz)
+- [DATA/raw/run-0081-learning_on_drive_0.85-seed-110.json.gz](DATA/raw/run-0081-learning_on_drive_0.85-seed-110.json.gz)
+- [DATA/raw/run-0082-learning_on_drive_1.00-seed-110.json.gz](DATA/raw/run-0082-learning_on_drive_1.00-seed-110.json.gz)
+- [DATA/raw/run-0083-learning_on_drive_1.15-seed-110.json.gz](DATA/raw/run-0083-learning_on_drive_1.15-seed-110.json.gz)
+- [DATA/raw/run-0084-learning_off_drive_0.85-seed-110.json.gz](DATA/raw/run-0084-learning_off_drive_0.85-seed-110.json.gz)
+- [DATA/raw/run-0085-learning_off_drive_1.00-seed-110.json.gz](DATA/raw/run-0085-learning_off_drive_1.00-seed-110.json.gz)
+- [DATA/raw/run-0086-learning_off_drive_1.15-seed-110.json.gz](DATA/raw/run-0086-learning_off_drive_1.15-seed-110.json.gz)
+- [DATA/raw/run-0087-sham_replay_drive_0.85-seed-110.json.gz](DATA/raw/run-0087-sham_replay_drive_0.85-seed-110.json.gz)
+- [DATA/raw/run-0088-sham_replay_drive_1.00-seed-110.json.gz](DATA/raw/run-0088-sham_replay_drive_1.00-seed-110.json.gz)
+- [DATA/raw/run-0089-sham_replay_drive_1.15-seed-110.json.gz](DATA/raw/run-0089-sham_replay_drive_1.15-seed-110.json.gz)
+- [DATA/raw/run-0090-learning_on_drive_0.85-seed-111.json.gz](DATA/raw/run-0090-learning_on_drive_0.85-seed-111.json.gz)
+- [DATA/raw/run-0091-learning_on_drive_1.00-seed-111.json.gz](DATA/raw/run-0091-learning_on_drive_1.00-seed-111.json.gz)
+- [DATA/raw/run-0092-learning_on_drive_1.15-seed-111.json.gz](DATA/raw/run-0092-learning_on_drive_1.15-seed-111.json.gz)
+- [DATA/raw/run-0093-learning_off_drive_0.85-seed-111.json.gz](DATA/raw/run-0093-learning_off_drive_0.85-seed-111.json.gz)
+- [DATA/raw/run-0094-learning_off_drive_1.00-seed-111.json.gz](DATA/raw/run-0094-learning_off_drive_1.00-seed-111.json.gz)
+- [DATA/raw/run-0095-learning_off_drive_1.15-seed-111.json.gz](DATA/raw/run-0095-learning_off_drive_1.15-seed-111.json.gz)
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+- [DATA/raw/run-0131-learning_off_drive_1.15-seed-115.json.gz](DATA/raw/run-0131-learning_off_drive_1.15-seed-115.json.gz)
+- [DATA/raw/run-0132-sham_replay_drive_0.85-seed-115.json.gz](DATA/raw/run-0132-sham_replay_drive_0.85-seed-115.json.gz)
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+- [DATA/raw/run-0163-learning_on_drive_1.00-seed-119.json.gz](DATA/raw/run-0163-learning_on_drive_1.00-seed-119.json.gz)
+- [DATA/raw/run-0164-learning_on_drive_1.15-seed-119.json.gz](DATA/raw/run-0164-learning_on_drive_1.15-seed-119.json.gz)
+- [DATA/raw/run-0165-learning_off_drive_0.85-seed-119.json.gz](DATA/raw/run-0165-learning_off_drive_0.85-seed-119.json.gz)
+- [DATA/raw/run-0166-learning_off_drive_1.00-seed-119.json.gz](DATA/raw/run-0166-learning_off_drive_1.00-seed-119.json.gz)
+- [DATA/raw/run-0167-learning_off_drive_1.15-seed-119.json.gz](DATA/raw/run-0167-learning_off_drive_1.15-seed-119.json.gz)
+- [DATA/raw/run-0168-sham_replay_drive_0.85-seed-119.json.gz](DATA/raw/run-0168-sham_replay_drive_0.85-seed-119.json.gz)
+- [DATA/raw/run-0169-sham_replay_drive_1.00-seed-119.json.gz](DATA/raw/run-0169-sham_replay_drive_1.00-seed-119.json.gz)
+- [DATA/raw/run-0170-sham_replay_drive_1.15-seed-119.json.gz](DATA/raw/run-0170-sham_replay_drive_1.15-seed-119.json.gz)
+- [DATA/raw/run-0171-learning_on_drive_0.85-seed-120.json.gz](DATA/raw/run-0171-learning_on_drive_0.85-seed-120.json.gz)
+- [DATA/raw/run-0172-learning_on_drive_1.00-seed-120.json.gz](DATA/raw/run-0172-learning_on_drive_1.00-seed-120.json.gz)
+- [DATA/raw/run-0173-learning_on_drive_1.15-seed-120.json.gz](DATA/raw/run-0173-learning_on_drive_1.15-seed-120.json.gz)
+- [DATA/raw/run-0174-learning_off_drive_0.85-seed-120.json.gz](DATA/raw/run-0174-learning_off_drive_0.85-seed-120.json.gz)
+- [DATA/raw/run-0175-learning_off_drive_1.00-seed-120.json.gz](DATA/raw/run-0175-learning_off_drive_1.00-seed-120.json.gz)
+- [DATA/raw/run-0176-learning_off_drive_1.15-seed-120.json.gz](DATA/raw/run-0176-learning_off_drive_1.15-seed-120.json.gz)
+- [DATA/raw/run-0177-sham_replay_drive_0.85-seed-120.json.gz](DATA/raw/run-0177-sham_replay_drive_0.85-seed-120.json.gz)
+- [DATA/raw/run-0178-sham_replay_drive_1.00-seed-120.json.gz](DATA/raw/run-0178-sham_replay_drive_1.00-seed-120.json.gz)
+- [DATA/raw/run-0179-sham_replay_drive_1.15-seed-120.json.gz](DATA/raw/run-0179-sham_replay_drive_1.15-seed-120.json.gz)
+- [DATA/runs.json](DATA/runs.json)
+- [DATA/runs_index.json](DATA/runs_index.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [reports/AIRR-2026-0001.json](reports/AIRR-2026-0001.json)
+- [reports/AIRR-2026-0001.md](reports/AIRR-2026-0001.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `NOT_APPLICABLE`, semantische Zuordnung `DIRECT_MATCH`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-36/workflow.json b/research/experiments/EXP-BATCH-20260909223705-36/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..d37f3a171c6d5a554c22c93bbf46774d2e4f9c03
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-36/workflow.json
@@ -0,0 +1,47 @@
+{
+  "experiment_id": "EXP-BATCH-20260909223705-36",
+  "research_question": "RQ-GEN-001",
+  "hypothesis": "H-GEN-001-A",
+  "title": "Experiment workflow: learning_generalization_v1",
+  "conditions": "Registered protocol conditions",
+  "ticks": 1000,
+  "ticks_contract": "minimum requested observation window",
+  "seeds": [
+    101,
+    102,
+    103,
+    104,
+    105,
+    106,
+    107,
+    108,
+    109,
+    110,
+    111,
+    112,
+    113,
+    114,
+    115,
+    116,
+    117,
+    118,
+    119,
+    120
+  ],
+  "protocol": "learning_generalization_v1",
+  "resolved_runner": "run_generalization",
+  "tick_validation": {
+    "status": "NOT_APPLICABLE",
+    "mode": "protocol_defined_internal_trials",
+    "requested_ticks": 1000
+  },
+  "notes": "",
+  "execution": "registered experiment_suite runner",
+  "assistant_policy": "AI is post-hoc interpretation only.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-37/DATA/current_run.json b/research/experiments/EXP-BATCH-20260909223705-37/DATA/current_run.json
new file mode 100644
index 0000000000000000000000000000000000000000..932bff0bfb6003f48c5b2d3a3ba707193ccb7671
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-37/DATA/current_run.json
@@ -0,0 +1,11 @@
+{
+  "last_archived_run": 39,
+  "raw_artifact": {
+    "format": "json.gz",
+    "path": "DATA/raw/run-0039-recurrence_on-seed-120.json.gz",
+    "sha256": "da4b92c265120e11dda2b4f9bfdc783a013446cacfd17fdc71853cce2579be35",
+    "size_bytes": 622,
+    "uncompressed_bytes": 1774
+  },
+  "status": "idle"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-37/DATA/runs_index.json b/research/experiments/EXP-BATCH-20260909223705-37/DATA/runs_index.json
new file mode 100644
index 0000000000000000000000000000000000000000..59e625382e4576a246337fdcbd19761092e49281
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-37/DATA/runs_index.json
@@ -0,0 +1,407 @@
+{
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diff --git a/research/experiments/EXP-BATCH-20260909223705-37/analysis/AIAR-critical_reviewer-20260910013652067606-75897eed.json b/research/experiments/EXP-BATCH-20260909223705-37/analysis/AIAR-critical_reviewer-20260910013652067606-75897eed.json
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index 0000000000000000000000000000000000000000..5a912aae3d6b9b26373869f7d6a8b074a7094a10
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+{
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+    "effect_direction": "not_determined",
+    "methodological_concerns": [
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+    "requested_evidence": [
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diff --git a/research/experiments/EXP-BATCH-20260909223705-37/analysis/AIAR-scientific_analyst-20260910013551995880-75897eed.json b/research/experiments/EXP-BATCH-20260909223705-37/analysis/AIAR-scientific_analyst-20260910013551995880-75897eed.json
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+{
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+    "effect_direction": "not_determined",
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+    "requested_evidence": [
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diff --git a/research/experiments/EXP-BATCH-20260909223705-37/analysis/AIAR-scientific_writer-20260910013752092401-75897eed.json b/research/experiments/EXP-BATCH-20260909223705-37/analysis/AIAR-scientific_writer-20260910013752092401-75897eed.json
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+{
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+  },
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+    "observations": [],
+    "effect_direction": "not_determined",
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diff --git a/research/experiments/EXP-BATCH-20260909223705-37/analysis/ai_packet_digest.json b/research/experiments/EXP-BATCH-20260909223705-37/analysis/ai_packet_digest.json
new file mode 100644
index 0000000000000000000000000000000000000000..925918af4ddcb5bce9904eef5e4f8295891217a0
--- /dev/null
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@@ -0,0 +1,7 @@
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diff --git a/research/experiments/EXP-BATCH-20260909223705-37/analysis/statistics.json b/research/experiments/EXP-BATCH-20260909223705-37/analysis/statistics.json
new file mode 100644
index 0000000000000000000000000000000000000000..8bfc585dd49e082cf0b4de549d37afd2aa45aa79
--- /dev/null
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+          "min": 33.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "ticks_executed": {
+          "max": 256.0,
+          "mean": 256.0,
+          "median": 256.0,
+          "min": 256.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "total_spikes": {
+          "max": 33.0,
+          "mean": 33.0,
+          "median": 33.0,
+          "min": 33.0,
+          "n": 20,
+          "std": 0.0
+        }
+      },
+      "run_count": 20,
+      "seeds": [
+        101,
+        102,
+        103,
+        104,
+        105,
+        106,
+        107,
+        108,
+        109,
+        110,
+        111,
+        112,
+        113,
+        114,
+        115,
+        116,
+        117,
+        118,
+        119,
+        120
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "inter_spike_intervals": {
+    "recurrence_off": {
+      "max": 1.0,
+      "mean": 1.0,
+      "median": 1.0,
+      "min": 1.0,
+      "n": 40,
+      "std": 0.0
+    },
+    "recurrence_on": {
+      "max": 4.0,
+      "mean": 1.9375,
+      "median": 2.0,
+      "min": 1.0,
+      "n": 640,
+      "std": 0.5555121510822243
+    }
+  },
+  "run_count": 40,
+  "schema_version": "2.0",
+  "two_condition_effects": {
+    "activated_neurons": {
+      "absolute_difference": 0.0,
+      "comparison_condition": "recurrence_on",
+      "ratio": 1.0,
+      "reference_condition": "recurrence_off"
+    },
+    "delivered_synaptic_events": {
+      "absolute_difference": 31.0,
+      "comparison_condition": "recurrence_on",
+      "ratio": 16.5,
+      "reference_condition": "recurrence_off"
+    },
+    "first_response_latency": {
+      "absolute_difference": 0.0,
+      "comparison_condition": "recurrence_on",
+      "ratio": 1.0,
+      "reference_condition": "recurrence_off"
+    },
+    "last_response_latency": {
+      "absolute_difference": 60.0,
+      "comparison_condition": "recurrence_on",
+      "ratio": 31.0,
+      "reference_condition": "recurrence_off"
+    },
+    "propagation_depth": {
+      "absolute_difference": 60.0,
+      "comparison_condition": "recurrence_on",
+      "ratio": 61.0,
+      "reference_condition": "recurrence_off"
+    },
+    "recurrent_events": {
+      "absolute_difference": 10.0,
+      "comparison_condition": "recurrence_on",
+      "ratio": null,
+      "reference_condition": "recurrence_off"
+    },
+    "synaptic_activity_ticks": {
+      "absolute_difference": 31.0,
+      "comparison_condition": "recurrence_on",
+      "ratio": 16.5,
+      "reference_condition": "recurrence_off"
+    },
+    "ticks_executed": {
+      "absolute_difference": 0.0,
+      "comparison_condition": "recurrence_on",
+      "ratio": 1.0,
+      "reference_condition": "recurrence_off"
+    },
+    "total_spikes": {
+      "absolute_difference": 30.0,
+      "comparison_condition": "recurrence_on",
+      "ratio": 11.0,
+      "reference_condition": "recurrence_off"
+    }
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-37/manifest.json b/research/experiments/EXP-BATCH-20260909223705-37/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..db2eb7acac725cef20ebe6981cd72d4d4fd66e54
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-37/manifest.json
@@ -0,0 +1,138 @@
+{
+  "ai_exposure": "none",
+  "ai_interactions": [],
+  "ai_protocol": {
+    "bump_reason": "initial registration",
+    "version": 1
+  },
+  "ai_reproducibility": "R0",
+  "artifacts": {
+    "ai_packet": "analysis/ai_packet.json",
+    "ai_packet_digest": "analysis/ai_packet_digest.json",
+    "ai_report_json": "experiments/EXP-BATCH-20260909223705-37/reports/AIRR-2026-0001.json",
+    "ai_report_markdown": "experiments/EXP-BATCH-20260909223705-37/reports/AIRR-2026-0001.md",
+    "current_run": "DATA/current_run.json",
+    "data": "DATA/runs.json",
+    "data_index": "DATA/runs_index.json",
+    "preregistration": "preregistrations/PREREG-REPL-001.json",
+    "raw_run_index": "DATA/runs_index.json",
+    "report": "report.md",
+    "statistics": "analysis/statistics.json",
+    "workflow": "workflow.json"
+  },
+  "causal_card": {
+    "classification": "PURE",
+    "interaction_ids": [],
+    "roles": []
+  },
+  "causal_taint": "PURE",
+  "config": {
+    "path": "F:\\Brain-5D\\configs\\learning_experiment.yaml",
+    "sha256": "6f6cd457caf6216c286fee47ef03b529a0b496ed2dd53ee96b85d3b51e7b3a1c"
+  },
+  "created_at": "2026-09-10T01:34:51.405530+00:00",
+  "data_partitions": [],
+  "epistemic_layers": {
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input",
+    "ui_state": "operator/dashboard progress only; not a scientific result"
+  },
+  "execution_contract": {
+    "hypothesis_id": "H-REPL-001-A",
+    "protocol": "independent_replication_v1",
+    "question_id": "RQ-REPL-001",
+    "resolved_runner": "run_replication",
+    "runtime_runner_bytecode_sha256": "b09e4f88dcf4b8f6608c15440f3dcb5fc3e96e58e7046788686c7300adcdc31b",
+    "runtime_summary_bytecode_sha256": "8d311e523e6093b1bbb23954dae163406f1836fb0defa5b8c4479ac68a929395",
+    "source_runner_bytecode_sha256": "b09e4f88dcf4b8f6608c15440f3dcb5fc3e96e58e7046788686c7300adcdc31b",
+    "source_runtime_consistency": "MATCH",
+    "source_summary_bytecode_sha256": "8d311e523e6093b1bbb23954dae163406f1836fb0defa5b8c4479ac68a929395",
+    "tick_validation": {
+      "mode": "minimum_per_run",
+      "observed_max": 256,
+      "observed_min": 256,
+      "requested_ticks": 256,
+      "status": "SATISFIED"
+    },
+    "ticks_requested": 256
+  },
+  "experiment_id": "EXP-BATCH-20260909223705-37",
+  "experiment_status": "completed",
+  "git": {
+    "branch": "main",
+    "commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+    "dirty": true
+  },
+  "hypotheses": [
+    "H-REPL-001-A"
+  ],
+  "network_mode": "OFFLINE",
+  "provenance_digests": {
+    "code": "5a11ea288e7e695c2dcd456642b533cbb3e6daf38b72e150134e60e69059531f",
+    "config": "6f6cd457caf6216c286fee47ef03b529a0b496ed2dd53ee96b85d3b51e7b3a1c",
+    "data": "b4e95831471962f43aeec2d3b1dcbb1b41d659f6b86e4901ec8bbaab4590b7b4",
+    "prompt": "dd18e473908e7e75b1717c240bac221729ea38753abfd28b701b37b20d5f5e14"
+  },
+  "research_questions": [
+    "RQ-REPL-001"
+  ],
+  "research_run_mode": "REPLICATION",
+  "results": {
+    "protocol": "independent_replication_v1",
+    "run_count": 40,
+    "runner": "run_replication",
+    "tick_contract": {
+      "mode": "minimum_per_run",
+      "observed_max": 256,
+      "observed_min": 256,
+      "requested_ticks": 256,
+      "status": "SATISFIED"
+    },
+    "ticks_requested": 256
+  },
+  "runtime": {
+    "duration_seconds": 0.15903179999440908
+  },
+  "runtime_errors": [],
+  "simulation": {
+    "protocol": "independent_replication_v1",
+    "seed": 101,
+    "seeds": [
+      101,
+      102,
+      103,
+      104,
+      105,
+      106,
+      107,
+      108,
+      109,
+      110,
+      111,
+      112,
+      113,
+      114,
+      115,
+      116,
+      117,
+      118,
+      119,
+      120
+    ],
+    "ticks": 256
+  },
+  "software": {
+    "brain5d_version": "0.6.0a1",
+    "os": "Windows 11",
+    "python": "3.13.14"
+  },
+  "source_freeze_sha": "237f18c71449d9dbde0b373e8a378175e8fb1dcdd3e3f9c2dfb75b81a96e2f80",
+  "timestamp": "2026-09-10T03:34:51.405517",
+  "validity": {
+    "fatal_error_count": 0,
+    "reason": null,
+    "runtime_error_count": 0,
+    "valid": true
+  }
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-37/report.md b/research/experiments/EXP-BATCH-20260909223705-37/report.md
new file mode 100644
index 0000000000000000000000000000000000000000..8837b270ee3b1437ff60802a235b9359d60ff898
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-37/report.md
@@ -0,0 +1,35 @@
+# EXP-BATCH-20260909223705-37: Experiment workflow: independent_replication_v1
+
+## Forschungszuordnung
+Forschungsfrage: `RQ-REPL-001`
+Hypothese: `H-REPL-001-A`
+Aufgeloester Runner: `run_replication`
+
+## Protokoll und Einstellungen
+Protokoll: `independent_replication_v1`
+Angeforderte Mindest-Ticks: `256`
+Seeds: `101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120`
+Tick-Vertrag: `{"mode": "minimum_per_run", "observed_max": 256, "observed_min": 256, "requested_ticks": 256, "status": "SATISFIED"}`
+
+## Bedingungen
+Registered protocol conditions
+Runs: 40; Dauer: 0.159032 s
+
+## Daten und Statistik
+Kompakte Run-Projektion: `DATA/runs.json`
+Unveränderlicher Rohdatenindex: `DATA/runs_index.json`
+KI-Eingabepaket: `analysis/ai_packet.json` (hart begrenzt)
+Deterministische deskriptive Statistik: `analysis/statistics.json`
+Die Summary verbindet Rohdaten, Formeln, Einzelruns, Bedingungen, Reproduzierbarkeit und AIRR ohne KI-generierte Statistik.
+
+## Epistemische Ebenen
+UI-Zustand: Dashboard-Steuerung und Fortschritt; kein wissenschaftliches Ergebnis.
+DATA: Rohdaten, Run-Index und deterministische Statistik.
+EVID: nicht erzeugt; Clean Freeze, semantische Zuordnung und Human Review erforderlich.
+Interpretation: nachgelagerte KI-/Human-Interpretation; keine Ausfuehrungseingabe.
+
+## Evidenzstatus
+DATA, Manifest, Workflow und deterministische Statistik sind erzeugt. Wissenschaftliche EVID entsteht erst nach passender semantischer Zuordnung, Clean Freeze und Human Review.
+
+## Hinweise
+Keine.
diff --git a/research/experiments/EXP-BATCH-20260909223705-37/reports/AIRR-2026-0001.json b/research/experiments/EXP-BATCH-20260909223705-37/reports/AIRR-2026-0001.json
new file mode 100644
index 0000000000000000000000000000000000000000..0f82f3ce2f1968d999b3f655d0d78fc477dd6b25
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-37/reports/AIRR-2026-0001.json
@@ -0,0 +1,2756 @@
+{
+  "report_id": "AIRR-2026-0001",
+  "experiment_id": "EXP-BATCH-20260909223705-37",
+  "research_question_id": "RQ-REPL-001",
+  "hypothesis_ids": [
+    "H-REPL-001-A"
+  ],
+  "claim_ids": [],
+  "generated_at": "2026-09-10T01:37:52.098453+00:00",
+  "report_schema_version": "1.0",
+  "report_protocol_version": "PROTOCOL-AIRR-001",
+  "generated_by": "artificial_intelligence",
+  "ai_generated": true,
+  "scientific_evidence": false,
+  "human_review_required": true,
+  "status": "review_pending",
+  "content": {
+    "identification": {
+      "experiment": "EXP-BATCH-20260909223705-37",
+      "research_question": "Bleiben die in EXP-GEN-0021 beobachteten Rekurrenz- und Learning-Effekte unter unabhängigen Initialisierungen und sauberem Prozess erhalten?",
+      "hypotheses": [
+        {
+          "id": "H-REPL-001-A",
+          "research_question": "RQ-REPL-001",
+          "hypothesis": "Der Rekurrenzbehandlungseffekt bleibt über mindestens 20 vorab registrierte Initialisierungsseeds in Richtung und Größenordnung konsistent.",
+          "status": "untested",
+          "evidence": [],
+          "created": "2026-09-05",
+          "updated": "2026-09-05"
+        }
+      ],
+      "date": "2026-09-10",
+      "source_sha": "8184fc74654169e4d01552f093dd807f065c34e3"
+    },
+    "executive_summary": "Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+    "research_question": {
+      "id": "RQ-REPL-001",
+      "domain": "Replication",
+      "question": "Bleiben die in EXP-GEN-0021 beobachteten Rekurrenz- und Learning-Effekte unter unabhängigen Initialisierungen und sauberem Prozess erhalten?",
+      "relevance": "Identische Seedsignaturen zeigen Determinismus, aber keine statistisch unabhängige Replikation.",
+      "literature": [],
+      "hypotheses": [
+        "H-REPL-001-A"
+      ],
+      "evidence": [],
+      "status": "open",
+      "answer": {
+        "current": null,
+        "confidence": "none",
+        "limitations": "Replikation erfordert echte Variation der Initialisierung und einen Clean Freeze."
+      },
+      "created": "2026-09-05",
+      "updated": "2026-09-05"
+    },
+    "experimental_design": {
+      "experiment_id": "EXP-BATCH-20260909223705-37",
+      "research_question": "RQ-REPL-001",
+      "hypothesis": "H-REPL-001-A",
+      "title": "Experiment workflow: independent_replication_v1",
+      "conditions": "Registered protocol conditions",
+      "ticks": 256,
+      "ticks_contract": "minimum requested observation window",
+      "seeds": [
+        101,
+        102,
+        103,
+        104,
+        105,
+        106,
+        107,
+        108,
+        109,
+        110,
+        111,
+        112,
+        113,
+        114,
+        115,
+        116,
+        117,
+        118,
+        119,
+        120
+      ],
+      "protocol": "independent_replication_v1",
+      "resolved_runner": "run_replication",
+      "tick_validation": {
+        "status": "SATISFIED",
+        "mode": "minimum_per_run",
+        "requested_ticks": 256,
+        "observed_min": 256,
+        "observed_max": 256
+      },
+      "notes": "",
+      "execution": "registered experiment_suite runner",
+      "assistant_policy": "AI is post-hoc interpretation only.",
+      "epistemic_layers": {
+        "ui_state": "operator/dashboard progress only; not a scientific result",
+        "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+        "evid": "not_created; requires semantic validation, clean freeze and human review",
+        "interpretation": "post-hoc AI or human interpretation; never execution input"
+      }
+    },
+    "data_basis": {
+      "data": {
+        "ai_input_policy": "compact_only_raw_on_explicit_deterministic_extract",
+        "generated_by": "deterministic_research_data_v2",
+        "limits": {
+          "ai_packet_max_bytes": 1000000,
+          "run_summary_max_bytes": 5000000,
+          "sequence_preview_items": 16
+        },
+        "raw_index": {
+          "path": "DATA/runs_index.json",
+          "run_count": 40,
+          "sha256": "a0b3db9d2c865dd9dad9016e8aad33d6af079203b4960392fb8c0d7b34abfe9c"
+        },
+        "run_count": 40,
+        "run_preview": {
+          "_projection": "bounded_sequence",
+          "head": [
+            {
+              "_raw_artifact": {
+                "format": "json.gz",
+                "path": "DATA/raw/run-0000-recurrence_off-seed-101.json.gz",
+                "sha256": "cf564a71e9eb9d9cd225438cee1529ba66cae884f393a7954ff888e34690c8cc",
+                "size_bytes": 521,
+                "uncompressed_bytes": 998
+              },
+              "condition": "recurrence_off",
+              "experiment_id": "EXP-BATCH-20260909223705-37",
+              "metrics": {
+                "activated_neurons": 3,
+                "delivered_synaptic_events": 2,
+                "first_response_latency": 2,
+                "last_response_latency": 2,
+                "max_synaptic_current_targets": 1,
+                "network_state_digest_after": "73f066f74a6fef6cefa74a2abf1ca915888f6d3a01334af4e7830d7891d68c01",
+                "network_state_digest_before": "1771a5db39762c3f7493abcddc6e461322470687395291a7b18bfb719f8ac27f",
+                "peak_spike_rate": 1.0,
+                "propagation_depth": 1,
+                "recurrent_events": 0,
+                "replication_seed": 101,
+                "return_latency": null,
+                "spike_sequence": [
+                  {
+                    "neuron_id": 0,
+                    "tick": 0
+                  },
+                  {
+                    "neuron_id": 1,
+                    "tick": 1
+                  },
+                  {
+                    "neuron_id": 2,
+                    "tick": 2
+                  }
+                ],
+                "stopped_on_quiescence": false,
+                "synaptic_activity_ticks": 2,
+                "ticks_executed": 256,
+                "ticks_requested": 256,
+                "total_spikes": 3,
+                "total_synapses": 2,
+                "treatment": "recurrence_off"
+              },
+              "runtime_error": null,
+              "seed": 101,
+              "state_digest_after": "73f066f74a6fef6cefa74a2abf1ca915888f6d3a01334af4e7830d7891d68c01",
+              "state_digest_before": "1771a5db39762c3f7493abcddc6e461322470687395291a7b18bfb719f8ac27f"
+            },
+            {
+              "_raw_artifact": {
+                "format": "json.gz",
+                "path": "DATA/raw/run-0001-recurrence_on-seed-101.json.gz",
+                "sha256": "a653244e7bfd1a8a7ef2920ad040e9aaab27e3467fd2b3ce63d701dd592954f0",
+                "size_bytes": 619,
+                "uncompressed_bytes": 1774
+              },
+              "condition": "recurrence_on",
+              "experiment_id": "EXP-BATCH-20260909223705-37",
+              "metrics": {
+                "activated_neurons": 3,
+                "delivered_synaptic_events": 33,
+                "first_response_latency": 2,
+                "last_response_latency": 62,
+                "max_synaptic_current_targets": 1,
+                "network_state_digest_after": "f81c01b8fcd4b4a55c8a1db466402c74a805aef460ce9898506cdedb9d74d526",
+                "network_state_digest_before": "ba402efb16e4d0d13da3fba5c3a01307f575e7643a4330b58f0717254e133d1d",
+                "peak_spike_rate": 1.0,
+                "propagation_depth": 61,
+                "recurrent_events": 10,
+                "replication_seed": 101,
+                "return_latency": 3,
+                "spike_sequence": {
+                  "_projection": "bounded_sequence",
+                  "head": [
+                    {
+                      "neuron_id": 0,
+                      "tick": 0
+                    },
+                    {
+                      "neuron_id": 1,
+                      "tick": 1
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+                    {
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+                      "tick": 2
+                    },
+                    {
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+                    {
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+                    {
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+                    {
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+                    {
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+                    {
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+                    }
+                  ],
+                  "item_count": 33,
+                  "tail": [
+                    {
+                      "neuron_id": 2,
+                      "tick": 29
+                    },
+                    {
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+                    {
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+      "comments": null
+    },
+    "aiar": {
+      "analyst": {
+        "analysis_id": "AIAR-scientific_analyst-20260910013551995880-75897eed",
+        "role": "scientific_analyst",
+        "model": {
+          "provider": "system-fallback",
+          "model_name": "unavailable",
+          "model_digest": "not_applicable",
+          "quantization": "unknown",
+          "context_length": "unknown",
+          "temperature": 0.0,
+          "top_p": 1.0,
+          "seed": "not_reported",
+          "backend_version": "unknown"
+        },
+        "inputs": {
+          "experiment_id": "EXP-BATCH-20260909223705-37",
+          "packet_digest": "75897eed7977673a183b22eb31b0c0a286ea7cd86999cd52a43e8a9ede1594ce"
+        },
+        "output": {
+          "assessment": "Die Rolle scientific_analyst konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+          "observations": [],
+          "effect_direction": "not_determined",
+          "methodological_concerns": [
+            "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+            "Technical reason: TimeoutError: timed out"
+          ],
+          "alternative_explanations": [],
+          "recommended_experiments": [],
+          "requested_evidence": [
+            "Run the role again with a schema-conforming backend response.",
+            "Complete mandatory human review before interpreting this report."
+          ],
+          "confidence": 0.0,
+          "analysis_unavailable": true
+        },
+        "provenance": {
+          "prompt_sha256": "cf124d2ad3411ced0194cba1d34c349296facec9020904c7461668b851e36763",
+          "research_packet_digest": "75897eed7977673a183b22eb31b0c0a286ea7cd86999cd52a43e8a9ede1594ce",
+          "prompt_protocol_version": "research_assistant_v1",
+          "assistant_schema_version": "1.2",
+          "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+          "model_self_confidence": "0.0"
+        },
+        "epistemic_status": {
+          "evidence": false,
+          "interpretation_only": true,
+          "human_review_required": true
+        },
+        "review": {
+          "status": "pending",
+          "reviewer": null,
+          "reviewed_at": null,
+          "disposition": null
+        },
+        "generated_at": "2026-09-10T01:35:51.995880+00:00"
+      },
+      "reviewer": {
+        "analysis_id": "AIAR-critical_reviewer-20260910013652067606-75897eed",
+        "role": "critical_reviewer",
+        "model": {
+          "provider": "system-fallback",
+          "model_name": "unavailable",
+          "model_digest": "not_applicable",
+          "quantization": "unknown",
+          "context_length": "unknown",
+          "temperature": 0.0,
+          "top_p": 1.0,
+          "seed": "not_reported",
+          "backend_version": "unknown"
+        },
+        "inputs": {
+          "experiment_id": "EXP-BATCH-20260909223705-37",
+          "packet_digest": "75897eed7977673a183b22eb31b0c0a286ea7cd86999cd52a43e8a9ede1594ce"
+        },
+        "output": {
+          "assessment": "Die Rolle critical_reviewer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+          "observations": [],
+          "effect_direction": "not_determined",
+          "methodological_concerns": [
+            "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+            "Technical reason: TimeoutError: timed out"
+          ],
+          "alternative_explanations": [],
+          "recommended_experiments": [],
+          "requested_evidence": [
+            "Run the role again with a schema-conforming backend response.",
+            "Complete mandatory human review before interpreting this report."
+          ],
+          "confidence": 0.0,
+          "analysis_unavailable": true
+        },
+        "provenance": {
+          "prompt_sha256": "7cb8dc3b43f7475e0322fdb8bd066ff89a1d950d66e5026d8bf62268fd80298f",
+          "research_packet_digest": "75897eed7977673a183b22eb31b0c0a286ea7cd86999cd52a43e8a9ede1594ce",
+          "prompt_protocol_version": "research_assistant_v1",
+          "assistant_schema_version": "1.2",
+          "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+          "model_self_confidence": "0.0"
+        },
+        "epistemic_status": {
+          "evidence": false,
+          "interpretation_only": true,
+          "human_review_required": true
+        },
+        "review": {
+          "status": "pending",
+          "reviewer": null,
+          "reviewed_at": null,
+          "disposition": null
+        },
+        "generated_at": "2026-09-10T01:36:52.067606+00:00"
+      },
+      "writer": {
+        "analysis_id": "AIAR-scientific_writer-20260910013752092401-75897eed",
+        "role": "scientific_writer",
+        "model": {
+          "provider": "system-fallback",
+          "model_name": "unavailable",
+          "model_digest": "not_applicable",
+          "quantization": "unknown",
+          "context_length": "unknown",
+          "temperature": 0.0,
+          "top_p": 1.0,
+          "seed": "not_reported",
+          "backend_version": "unknown"
+        },
+        "inputs": {
+          "experiment_id": "EXP-BATCH-20260909223705-37",
+          "packet_digest": "75897eed7977673a183b22eb31b0c0a286ea7cd86999cd52a43e8a9ede1594ce"
+        },
+        "output": {
+          "assessment": "Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+          "observations": [],
+          "effect_direction": "not_determined",
+          "methodological_concerns": [
+            "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+            "Technical reason: TimeoutError: timed out"
+          ],
+          "alternative_explanations": [],
+          "recommended_experiments": [],
+          "requested_evidence": [
+            "Run the role again with a schema-conforming backend response.",
+            "Complete mandatory human review before interpreting this report."
+          ],
+          "confidence": 0.0,
+          "analysis_unavailable": true
+        },
+        "provenance": {
+          "prompt_sha256": "a1ffe03e1b4fcfd242a1a52f7c98bcd8bee860eed3c7afdaef69a8d94c9925f5",
+          "research_packet_digest": "75897eed7977673a183b22eb31b0c0a286ea7cd86999cd52a43e8a9ede1594ce",
+          "prompt_protocol_version": "research_assistant_v1",
+          "assistant_schema_version": "1.2",
+          "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+          "model_self_confidence": "0.0"
+        },
+        "epistemic_status": {
+          "evidence": false,
+          "interpretation_only": true,
+          "human_review_required": true
+        },
+        "review": {
+          "status": "pending",
+          "reviewer": null,
+          "reviewed_at": null,
+          "disposition": null
+        },
+        "generated_at": "2026-09-10T01:37:52.092401+00:00"
+      }
+    }
+  },
+  "provenance": {
+    "research_packet_digest": "75897eed7977673a183b22eb31b0c0a286ea7cd86999cd52a43e8a9ede1594ce",
+    "source": {
+      "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+      "experiment_status": "completed",
+      "evidence_mode": "not_reported",
+      "git_dirty": "True",
+      "source_freeze_sha": "237f18c71449d9dbde0b373e8a378175e8fb1dcdd3e3f9c2dfb75b81a96e2f80",
+      "configuration_path": "F:\\Brain-5D\\configs\\learning_experiment.yaml",
+      "configuration_sha256": "6f6cd457caf6216c286fee47ef03b529a0b496ed2dd53ee96b85d3b51e7b3a1c",
+      "experiment_manifest_digest": "9baa29a57623da2dd1aa2b866094e03be9fc853a17d70daab6f20fab85f67379",
+      "data_ids": "NOT_AVAILABLE",
+      "evid_ids": "NOT_AVAILABLE",
+      "protocol_id": "NOT_AVAILABLE",
+      "protocol_digest": "52efed3d383cf1a13f1cc2ee9f5d3165e9cbde02d173248cea0914aff6c59819",
+      "data_digest": "447dfd461c7cb4a6f1aa9c35e8cb8577129068b82b14dae42142881691e592cf",
+      "evid_digests": "[]"
+    }
+  },
+  "analysis_ids": [
+    "AIAR-scientific_analyst-20260910013551995880-75897eed",
+    "AIAR-critical_reviewer-20260910013652067606-75897eed",
+    "AIAR-scientific_writer-20260910013752092401-75897eed"
+  ],
+  "supersedes": null,
+  "content_digest": "295884d6362280667c869f2e5fd109aa6c62c023f284ce054feff26d583de428",
+  "markdown_digest": "18cf4f291ee107afa28e4cbe7cf8835ff45a833a6f88d985373759ac268cdf4d"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-37/reports/AIRR-2026-0001.md b/research/experiments/EXP-BATCH-20260909223705-37/reports/AIRR-2026-0001.md
new file mode 100644
index 0000000000000000000000000000000000000000..43ebdfd0ac80e08408f4fc3c9f736709d513ad30
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-37/reports/AIRR-2026-0001.md
@@ -0,0 +1,2621 @@
+============================================================
+BRAIN-5D - AI GENERATED SCIENTIFIC ANALYSIS
+============================================================
+
+Dieser Bericht wurde durch ein kuenstliches Intelligenzsystem erzeugt.
+
+Er stellt eine wissenschaftliche Interpretation von MHRN-Forschungsdaten dar.
+
+Er ist KEINE wissenschaftliche Evidenz.
+
+Er wurde zum Zeitpunkt der Erstellung noch nicht automatisch durch einen Menschen bestaetigt.
+
+Human Review Status: PENDING
+============================================================
+
+# AI Research Report AIRR-2026-0001
+
+Status: review_pending | Experiment: EXP-BATCH-20260909223705-37
+Research Question: RQ-REPL-001
+## Executive Summary
+
+```json
+"Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor."
+```
+
+## Research Question
+
+```json
+{
+  "id": "RQ-REPL-001",
+  "domain": "Replication",
+  "question": "Bleiben die in EXP-GEN-0021 beobachteten Rekurrenz- und Learning-Effekte unter unabhängigen Initialisierungen und sauberem Prozess erhalten?",
+  "relevance": "Identische Seedsignaturen zeigen Determinismus, aber keine statistisch unabhängige Replikation.",
+  "literature": [],
+  "hypotheses": [
+    "H-REPL-001-A"
+  ],
+  "evidence": [],
+  "status": "open",
+  "answer": {
+    "current": null,
+    "confidence": "none",
+    "limitations": "Replikation erfordert echte Variation der Initialisierung und einen Clean Freeze."
+  },
+  "created": "2026-09-05",
+  "updated": "2026-09-05"
+}
+```
+
+## Experimental Design
+
+```json
+{
+  "experiment_id": "EXP-BATCH-20260909223705-37",
+  "research_question": "RQ-REPL-001",
+  "hypothesis": "H-REPL-001-A",
+  "title": "Experiment workflow: independent_replication_v1",
+  "conditions": "Registered protocol conditions",
+  "ticks": 256,
+  "ticks_contract": "minimum requested observation window",
+  "seeds": [
+    101,
+    102,
+    103,
+    104,
+    105,
+    106,
+    107,
+    108,
+    109,
+    110,
+    111,
+    112,
+    113,
+    114,
+    115,
+    116,
+    117,
+    118,
+    119,
+    120
+  ],
+  "protocol": "independent_replication_v1",
+  "resolved_runner": "run_replication",
+  "tick_validation": {
+    "status": "SATISFIED",
+    "mode": "minimum_per_run",
+    "requested_ticks": 256,
+    "observed_min": 256,
+    "observed_max": 256
+  },
+  "notes": "",
+  "execution": "registered experiment_suite runner",
+  "assistant_policy": "AI is post-hoc interpretation only.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}
+```
+
+## Data Basis
+
+```json
+{
+  "data": {
+    "ai_input_policy": "compact_only_raw_on_explicit_deterministic_extract",
+    "generated_by": "deterministic_research_data_v2",
+    "limits": {
+      "ai_packet_max_bytes": 1000000,
+      "run_summary_max_bytes": 5000000,
+      "sequence_preview_items": 16
+    },
+    "raw_index": {
+      "path": "DATA/runs_index.json",
+      "run_count": 40,
+      "sha256": "a0b3db9d2c865dd9dad9016e8aad33d6af079203b4960392fb8c0d7b34abfe9c"
+    },
+    "run_count": 40,
+    "run_preview": {
+      "_projection": "bounded_sequence",
+      "head": [
+        {
+          "_raw_artifact": {
+            "format": "json.gz",
+            "path": "DATA/raw/run-0000-recurrence_off-seed-101.json.gz",
+            "sha256": "cf564a71e9eb9d9cd225438cee1529ba66cae884f393a7954ff888e34690c8cc",
+            "size_bytes": 521,
+            "uncompressed_bytes": 998
+          },
+          "condition": "recurrence_off",
+          "experiment_id": "EXP-BATCH-20260909223705-37",
+          "metrics": {
+            "activated_neurons": 3,
+            "delivered_synaptic_events": 2,
+            "first_response_latency": 2,
+            "last_response_latency": 2,
+            "max_synaptic_current_targets": 1,
+            "network_state_digest_after": "73f066f74a6fef6cefa74a2abf1ca915888f6d3a01334af4e7830d7891d68c01",
+            "network_state_digest_before": "1771a5db39762c3f7493abcddc6e461322470687395291a7b18bfb719f8ac27f",
+            "peak_spike_rate": 1.0,
+            "propagation_depth": 1,
+            "recurrent_events": 0,
+            "replication_seed": 101,
+            "return_latency": null,
+            "spike_sequence": [
+              {
+                "neuron_id": 0,
+                "tick": 0
+              },
+              {
+                "neuron_id": 1,
+                "tick": 1
+              },
+              {
+                "neuron_id": 2,
+                "tick": 2
+              }
+            ],
+            "stopped_on_quiescence": false,
+            "synaptic_activity_ticks": 2,
+            "ticks_executed": 256,
+            "ticks_requested": 256,
+            "total_spikes": 3,
+            "total_synapses": 2,
+            "treatment": "recurrence_off"
+          },
+          "runtime_error": null,
+          "seed": 101,
+          "state_digest_after": "73f066f74a6fef6cefa74a2abf1ca915888f6d3a01334af4e7830d7891d68c01",
+          "state_digest_before": "1771a5db39762c3f7493abcddc6e461322470687395291a7b18bfb719f8ac27f"
+        },
+        {
+          "_raw_artifact": {
+            "format": "json.gz",
+            "path": "DATA/raw/run-0001-recurrence_on-seed-101.json.gz",
+            "sha256": "a653244e7bfd1a8a7ef2920ad040e9aaab27e3467fd2b3ce63d701dd592954f0",
+            "size_bytes": 619,
+            "uncompressed_bytes": 1774
+          },
+          "condition": "recurrence_on",
+          "experiment_id": "EXP-BATCH-20260909223705-37",
+          "metrics": {
+            "activated_neurons": 3,
+            "delivered_synaptic_events": 33,
+            "first_response_latency": 2,
+            "last_response_latency": 62,
+            "max_synaptic_current_targets": 1,
+            "network_state_digest_after": "f81c01b8fcd4b4a55c8a1db466402c74a805aef460ce9898506cdedb9d74d526",
+            "network_state_digest_before": "ba402efb16e4d0d13da3fba5c3a01307f575e7643a4330b58f0717254e133d1d",
+            "peak_spike_rate": 1.0,
+            "propagation_depth": 61,
+            "recurrent_events": 10,
+            "replication_seed": 101,
+            "return_latency": 3,
+            "spike_sequence": {
+              "_projection": "bounded_sequence",
+              "head": [
+                {
+                  "neuron_id": 0,
+                  "tick": 0
+                },
+                {
+                  "neuron_id": 1,
+                  "tick": 1
+                },
+                {
+                  "neuron_id": 2,
+                  "tick": 2
+                },
+                {
+                  "neuron_id": 0,
+                  "tick": 3
+                },
+                {
+                  "neuron_id": 1,
+                  "tick": 4
+                },
+                {
+                  "neuron_id": 2,
+                  "tick": 5
+                },
+                {
+                  "neuron_id": 0,
+                  "tick": 7
+                },
+                {
+                  "neuron_id": 1,
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+                },
+                {
+                  "neuron_id": 2,
+                  "tick": 11
+                },
+                {
+                  "neuron_id": 0,
+                  "tick": 13
+                },
+                {
+                  "neuron_id": 1,
+                  "tick": 15
+                },
+                {
+                  "neuron_id": 2,
+                  "tick": 17
+                },
+                {
+                  "neuron_id": 0,
+                  "tick": 19
+                },
+                {
+                  "neuron_id": 1,
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+                },
+                {
+                  "neuron_id": 2,
+                  "tick": 23
+                },
+                {
+                  "neuron_id": 0,
+                  "tick": 25
+                }
+              ],
+              "item_count": 33,
+              "tail": [
+                {
+                  "neuron_id": 2,
+                  "tick": 29
+                },
+                {
+                  "neuron_id": 0,
+                  "tick": 31
+                },
+                {
+                  "neuron_id": 1,
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+                },
+                {
+                  "neuron_id": 2,
+                  "tick": 35
+                },
+                {
+                  "neuron_id": 0,
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+                },
+                {
+                  "neuron_id": 1,
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+                },
+                {
+                  "neuron_id": 2,
+                  "tick": 41
+                },
+                {
+                  "neuron_id": 0,
+                  "tick": 43
+                },
+                {
+                  "neuron_id": 1,
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+                },
+                {
+                  "neuron_id": 2,
+                  "tick": 47
+                },
+                {
+                  "neuron_id": 0,
+                  "tick": 50
+                },
+                {
+                  "neuron_id": 1,
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+                },
+                {
+                  "neuron_id": 2,
+                  "tick": 54
+                },
+                {
+                  "neuron_id": 0,
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+                },
+                {
+                  "neuron_id": 1,
+                  "tick": 60
+                },
+                {
+                  "neuron_id": 2,
+                  "tick": 62
+                }
+              ]
+            },
+            "stopped_on_quiescence": false,
+            "synaptic_activity_ticks": 33,
+            "ticks_executed": 256,
+            "ticks_requested": 256,
+            "total_spikes": 33,
+            "total_synapses": 3,
+            "treatment": "recurrence_on"
+          },
+          "runtime_error": null,
+          "seed": 101,
+          "state_digest_after": "f81c01b8fcd4b4a55c8a1db466402c74a805aef460ce9898506cdedb9d74d526",
+          "state_digest_before": "ba402efb16e4d0d13da3fba5c3a01307f575e7643a4330b58f0717254e133d1d"
+        },
+        {
+          "_raw_artifact": {
+            "format": "json.gz",
+            "path": "DATA/raw/run-0002-recurrence_off-seed-102.json.gz",
+            "sha256": "6cdd4440abcbfcff9b3fe8bd44b12b298bc909518590c5f5558a4577f99de476",
+            "size_bytes": 519,
+            "uncompressed_bytes": 998
+          },
+          "condition": "recurrence_off",
+          "experiment_id": "EXP-BATCH-20260909223705-37",
+          "metrics": {
+            "activated_neurons": 3,
+            "delivered_synaptic_events": 2,
+            "first_response_latency": 2,
+            "last_response_latency": 2,
+            "max_synaptic_current_targets": 1,
+            "network_state_digest_after": "801392ff071990687711bed148cc9d0fdc3422a5d628e56d09f35b846d7061a6",
+            "network_state_digest_before": "dea90be4cc96ecd982339529935b2286e82c20cf45e76d435b23c29953c97dbe",
+            "peak_spike_rate": 1.0,
+            "propagation_depth": 1,
+            "recurrent_events": 0,
+            "replication_seed": 102,
+            "return_latency": null,
+            "spike_sequence": [
+              {
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+              },
+              {
+                "neuron_id": 1,
+                "tick": 1
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+              {
+                "neuron_id": 2,
+                "tick": 2
+              }
+            ],
+            "stopped_on_quiescence": false,
+            "synaptic_activity_ticks": 2,
+            "ticks_executed": 256,
+            "ticks_requested": 256,
+            "total_spikes": 3,
+            "total_synapses": 2,
+            "treatment": "recurrence_off"
+          },
+          "runtime_error": null,
+          "seed": 102,
+          "state_digest_after": "801392ff071990687711bed148cc9d0fdc3422a5d628e56d09f35b846d7061a6",
+          "state_digest_before": "dea90be4cc96ecd982339529935b2286e82c20cf45e76d435b23c29953c97dbe"
+        },
+        {
+          "_raw_artifact": {
+            "format": "json.gz",
+            "path": "DATA/raw/run-0003-recurrence_on-seed-102.json.gz",
+            "sha256": "c3990b499db5de1fb678a876d0a7a55d1ad9d96e80f6896f7b197a277cad6486",
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+          },
+          "condition": "recurrence_on",
+          "experiment_id": "EXP-BATCH-20260909223705-37",
+          "metrics": {
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+            "delivered_synaptic_events": 33,
+            "first_response_latency": 2,
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+              "std": 0.0
+            },
+            "last_response_latency": {
+              "max": 2.0,
+              "mean": 2.0,
+              "median": 2.0,
+              "min": 2.0,
+              "n": 20,
+              "std": 0.0
+            },
+            "propagation_depth": {
+              "max": 1.0,
+              "mean": 1.0,
+              "median": 1.0,
+              "min": 1.0,
+              "n": 20,
+              "std": 0.0
+            },
+            "recurrent_events": {
+              "max": 0.0,
+              "mean": 0.0,
+              "median": 0.0,
+              "min": 0.0,
+              "n": 20,
+              "std": 0.0
+            },
+            "synaptic_activity_ticks": {
+              "max": 2.0,
+              "mean": 2.0,
+              "median": 2.0,
+              "min": 2.0,
+              "n": 20,
+              "std": 0.0
+            },
+            "ticks_executed": {
+              "max": 256.0,
+              "mean": 256.0,
+              "median": 256.0,
+              "min": 256.0,
+              "n": 20,
+              "std": 0.0
+            },
+            "total_spikes": {
+              "max": 3.0,
+              "mean": 3.0,
+              "median": 3.0,
+              "min": 3.0,
+              "n": 20,
+              "std": 0.0
+            }
+          },
+          "run_count": 20,
+          "seeds": [
+            101,
+            102,
+            103,
+            104,
+            105,
+            106,
+            107,
+            108,
+            109,
+            110,
+            111,
+            112,
+            113,
+            114,
+            115,
+            116,
+            117,
+            118,
+            119,
+            120
+          ]
+        },
+        "recurrence_on": {
+          "metrics": {
+            "activated_neurons": {
+              "max": 3.0,
+              "mean": 3.0,
+              "median": 3.0,
+              "min": 3.0,
+              "n": 20,
+              "std": 0.0
+            },
+            "delivered_synaptic_events": {
+              "max": 33.0,
+              "mean": 33.0,
+              "median": 33.0,
+              "min": 33.0,
+              "n": 20,
+              "std": 0.0
+            },
+            "first_response_latency": {
+              "max": 2.0,
+              "mean": 2.0,
+              "median": 2.0,
+              "min": 2.0,
+              "n": 20,
+              "std": 0.0
+            },
+            "last_response_latency": {
+              "max": 62.0,
+              "mean": 62.0,
+              "median": 62.0,
+              "min": 62.0,
+              "n": 20,
+              "std": 0.0
+            },
+            "propagation_depth": {
+              "max": 61.0,
+              "mean": 61.0,
+              "median": 61.0,
+              "min": 61.0,
+              "n": 20,
+              "std": 0.0
+            },
+            "recurrent_events": {
+              "max": 10.0,
+              "mean": 10.0,
+              "median": 10.0,
+              "min": 10.0,
+              "n": 20,
+              "std": 0.0
+            },
+            "return_latency": {
+              "max": 3.0,
+              "mean": 3.0,
+              "median": 3.0,
+              "min": 3.0,
+              "n": 20,
+              "std": 0.0
+            },
+            "synaptic_activity_ticks": {
+              "max": 33.0,
+              "mean": 33.0,
+              "median": 33.0,
+              "min": 33.0,
+              "n": 20,
+              "std": 0.0
+            },
+            "ticks_executed": {
+              "max": 256.0,
+              "mean": 256.0,
+              "median": 256.0,
+              "min": 256.0,
+              "n": 20,
+              "std": 0.0
+            },
+            "total_spikes": {
+              "max": 33.0,
+              "mean": 33.0,
+              "median": 33.0,
+              "min": 33.0,
+              "n": 20,
+              "std": 0.0
+            }
+          },
+          "run_count": 20,
+          "seeds": [
+            101,
+            102,
+            103,
+            104,
+            105,
+            106,
+            107,
+            108,
+            109,
+            110,
+            111,
+            112,
+            113,
+            114,
+            115,
+            116,
+            117,
+            118,
+            119,
+            120
+          ]
+        }
+      },
+      "formulas": {
+        "difference": "Delta_x = mean(x_B) - mean(x_A)",
+        "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+        "mean": "mean(x) = (1/n) * sum_i x_i",
+        "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+        "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+      },
+      "generated_by": "deterministic_statistics_engine",
+      "inter_spike_intervals": {
+        "recurrence_off": {
+          "max": 1.0,
+          "mean": 1.0,
+          "median": 1.0,
+          "min": 1.0,
+          "n": 40,
+          "std": 0.0
+        },
+        "recurrence_on": {
+          "max": 4.0,
+          "mean": 1.9375,
+          "median": 2.0,
+          "min": 1.0,
+          "n": 640,
+          "std": 0.5555121510822243
+        }
+      },
+      "run_count": 40,
+      "schema_version": "2.0",
+      "two_condition_effects": {
+        "activated_neurons": {
+          "absolute_difference": 0.0,
+          "comparison_condition": "recurrence_on",
+          "ratio": 1.0,
+          "reference_condition": "recurrence_off"
+        },
+        "delivered_synaptic_events": {
+          "absolute_difference": 31.0,
+          "comparison_condition": "recurrence_on",
+          "ratio": 16.5,
+          "reference_condition": "recurrence_off"
+        },
+        "first_response_latency": {
+          "absolute_difference": 0.0,
+          "comparison_condition": "recurrence_on",
+          "ratio": 1.0,
+          "reference_condition": "recurrence_off"
+        },
+        "last_response_latency": {
+          "absolute_difference": 60.0,
+          "comparison_condition": "recurrence_on",
+          "ratio": 31.0,
+          "reference_condition": "recurrence_off"
+        },
+        "propagation_depth": {
+          "absolute_difference": 60.0,
+          "comparison_condition": "recurrence_on",
+          "ratio": 61.0,
+          "reference_condition": "recurrence_off"
+        },
+        "recurrent_events": {
+          "absolute_difference": 10.0,
+          "comparison_condition": "recurrence_on",
+          "ratio": null,
+          "reference_condition": "recurrence_off"
+        },
+        "synaptic_activity_ticks": {
+          "absolute_difference": 31.0,
+          "comparison_condition": "recurrence_on",
+          "ratio": 16.5,
+          "reference_condition": "recurrence_off"
+        },
+        "ticks_executed": {
+          "absolute_difference": 0.0,
+          "comparison_condition": "recurrence_on",
+          "ratio": 1.0,
+          "reference_condition": "recurrence_off"
+        },
+        "total_spikes": {
+          "absolute_difference": 30.0,
+          "comparison_condition": "recurrence_on",
+          "ratio": 11.0,
+          "reference_condition": "recurrence_off"
+        }
+      }
+    }
+  },
+  "evid": [],
+  "literature": []
+}
+```
+
+## Quantitative Results
+
+```json
+{
+  "conditions": {
+    "recurrence_off": {
+      "metrics": {
+        "activated_neurons": {
+          "max": 3.0,
+          "mean": 3.0,
+          "median": 3.0,
+          "min": 3.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "delivered_synaptic_events": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "first_response_latency": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "last_response_latency": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "propagation_depth": {
+          "max": 1.0,
+          "mean": 1.0,
+          "median": 1.0,
+          "min": 1.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "recurrent_events": {
+          "max": 0.0,
+          "mean": 0.0,
+          "median": 0.0,
+          "min": 0.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "synaptic_activity_ticks": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "ticks_executed": {
+          "max": 256.0,
+          "mean": 256.0,
+          "median": 256.0,
+          "min": 256.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "total_spikes": {
+          "max": 3.0,
+          "mean": 3.0,
+          "median": 3.0,
+          "min": 3.0,
+          "n": 20,
+          "std": 0.0
+        }
+      },
+      "run_count": 20,
+      "seeds": [
+        101,
+        102,
+        103,
+        104,
+        105,
+        106,
+        107,
+        108,
+        109,
+        110,
+        111,
+        112,
+        113,
+        114,
+        115,
+        116,
+        117,
+        118,
+        119,
+        120
+      ]
+    },
+    "recurrence_on": {
+      "metrics": {
+        "activated_neurons": {
+          "max": 3.0,
+          "mean": 3.0,
+          "median": 3.0,
+          "min": 3.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "delivered_synaptic_events": {
+          "max": 33.0,
+          "mean": 33.0,
+          "median": 33.0,
+          "min": 33.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "first_response_latency": {
+          "max": 2.0,
+          "mean": 2.0,
+          "median": 2.0,
+          "min": 2.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "last_response_latency": {
+          "max": 62.0,
+          "mean": 62.0,
+          "median": 62.0,
+          "min": 62.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "propagation_depth": {
+          "max": 61.0,
+          "mean": 61.0,
+          "median": 61.0,
+          "min": 61.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "recurrent_events": {
+          "max": 10.0,
+          "mean": 10.0,
+          "median": 10.0,
+          "min": 10.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "return_latency": {
+          "max": 3.0,
+          "mean": 3.0,
+          "median": 3.0,
+          "min": 3.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "synaptic_activity_ticks": {
+          "max": 33.0,
+          "mean": 33.0,
+          "median": 33.0,
+          "min": 33.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "ticks_executed": {
+          "max": 256.0,
+          "mean": 256.0,
+          "median": 256.0,
+          "min": 256.0,
+          "n": 20,
+          "std": 0.0
+        },
+        "total_spikes": {
+          "max": 33.0,
+          "mean": 33.0,
+          "median": 33.0,
+          "min": 33.0,
+          "n": 20,
+          "std": 0.0
+        }
+      },
+      "run_count": 20,
+      "seeds": [
+        101,
+        102,
+        103,
+        104,
+        105,
+        106,
+        107,
+        108,
+        109,
+        110,
+        111,
+        112,
+        113,
+        114,
+        115,
+        116,
+        117,
+        118,
+        119,
+        120
+      ]
+    }
+  },
+  "formulas": {
+    "difference": "Delta_x = mean(x_B) - mean(x_A)",
+    "inter_spike_interval": "ISI_i = t_(i+1) - t_i",
+    "mean": "mean(x) = (1/n) * sum_i x_i",
+    "population_std": "sigma = sqrt((1/n) * sum_i (x_i - mean(x))^2)",
+    "ratio": "R_x = mean(x_B) / mean(x_A), defined only when mean(x_A) != 0"
+  },
+  "generated_by": "deterministic_statistics_engine",
+  "inter_spike_intervals": {
+    "recurrence_off": {
+      "max": 1.0,
+      "mean": 1.0,
+      "median": 1.0,
+      "min": 1.0,
+      "n": 40,
+      "std": 0.0
+    },
+    "recurrence_on": {
+      "max": 4.0,
+      "mean": 1.9375,
+      "median": 2.0,
+      "min": 1.0,
+      "n": 640,
+      "std": 0.5555121510822243
+    }
+  },
+  "run_count": 40,
+  "schema_version": "2.0",
+  "two_condition_effects": {
+    "activated_neurons": {
+      "absolute_difference": 0.0,
+      "comparison_condition": "recurrence_on",
+      "ratio": 1.0,
+      "reference_condition": "recurrence_off"
+    },
+    "delivered_synaptic_events": {
+      "absolute_difference": 31.0,
+      "comparison_condition": "recurrence_on",
+      "ratio": 16.5,
+      "reference_condition": "recurrence_off"
+    },
+    "first_response_latency": {
+      "absolute_difference": 0.0,
+      "comparison_condition": "recurrence_on",
+      "ratio": 1.0,
+      "reference_condition": "recurrence_off"
+    },
+    "last_response_latency": {
+      "absolute_difference": 60.0,
+      "comparison_condition": "recurrence_on",
+      "ratio": 31.0,
+      "reference_condition": "recurrence_off"
+    },
+    "propagation_depth": {
+      "absolute_difference": 60.0,
+      "comparison_condition": "recurrence_on",
+      "ratio": 61.0,
+      "reference_condition": "recurrence_off"
+    },
+    "recurrent_events": {
+      "absolute_difference": 10.0,
+      "comparison_condition": "recurrence_on",
+      "ratio": null,
+      "reference_condition": "recurrence_off"
+    },
+    "synaptic_activity_ticks": {
+      "absolute_difference": 31.0,
+      "comparison_condition": "recurrence_on",
+      "ratio": 16.5,
+      "reference_condition": "recurrence_off"
+    },
+    "ticks_executed": {
+      "absolute_difference": 0.0,
+      "comparison_condition": "recurrence_on",
+      "ratio": 1.0,
+      "reference_condition": "recurrence_off"
+    },
+    "total_spikes": {
+      "absolute_difference": 30.0,
+      "comparison_condition": "recurrence_on",
+      "ratio": 11.0,
+      "reference_condition": "recurrence_off"
+    }
+  }
+}
+```
+
+## Observations
+
+```json
+[]
+```
+
+## Interpretation
+
+```json
+{
+  "assessment": "Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.",
+  "observations": [],
+  "effect_direction": "not_determined",
+  "methodological_concerns": [
+    "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+    "Technical reason: TimeoutError: timed out"
+  ],
+  "alternative_explanations": [],
+  "recommended_experiments": [],
+  "requested_evidence": [
+    "Run the role again with a schema-conforming backend response.",
+    "Complete mandatory human review before interpreting this report."
+  ],
+  "confidence": 0.0,
+  "analysis_unavailable": true
+}
+```
+
+## Methodological Critique
+
+```json
+[
+  "AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.",
+  "Technical reason: TimeoutError: timed out"
+]
+```
+
+## Alternative Explanations
+
+```json
+[]
+```
+
+## Reproducibility
+
+```json
+{
+  "git_commit": "8184fc74654169e4d01552f093dd807f065c34e3",
+  "experiment_status": "completed",
+  "evidence_mode": "not_reported",
+  "git_dirty": "True",
+  "source_freeze_sha": "237f18c71449d9dbde0b373e8a378175e8fb1dcdd3e3f9c2dfb75b81a96e2f80",
+  "configuration_path": "F:\\Brain-5D\\configs\\learning_experiment.yaml",
+  "configuration_sha256": "6f6cd457caf6216c286fee47ef03b529a0b496ed2dd53ee96b85d3b51e7b3a1c",
+  "experiment_manifest_digest": "9baa29a57623da2dd1aa2b866094e03be9fc853a17d70daab6f20fab85f67379",
+  "data_ids": "NOT_AVAILABLE",
+  "evid_ids": "NOT_AVAILABLE",
+  "protocol_id": "NOT_AVAILABLE",
+  "protocol_digest": "52efed3d383cf1a13f1cc2ee9f5d3165e9cbde02d173248cea0914aff6c59819",
+  "data_digest": "447dfd461c7cb4a6f1aa9c35e8cb8577129068b82b14dae42142881691e592cf",
+  "evid_digests": "[]"
+}
+```
+
+## Epistemic Status
+
+```json
+{
+  "implementation": "NOT_DETERMINED",
+  "experiment_data": "PRESENT",
+  "registered_evidence": "ABSENT",
+  "ai_interpretation": "PRESENT",
+  "human_review": "PENDING",
+  "claim_support": "NOT_DETERMINED",
+  "rq_status": "IN_PROGRESS"
+}
+```
+
+## Missing Evidence
+
+```json
+[
+  "Run the role again with a schema-conforming backend response.",
+  "Complete mandatory human review before interpreting this report."
+]
+```
+
+## Recommended Follow-up Experiments
+
+```json
+[]
+```
+
+## Conclusion
+
+```json
+"Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor."
+```
+
+## Human Review
+
+```json
+{
+  "status": "PENDING",
+  "reviewer": null,
+  "reviewed_at": null,
+  "disposition": null,
+  "comments": null
+}
+```
+
+AI confidence: 0.0
+This value describes internal AI confidence and is not a statistical confidence interval.
+
+Content digest: 295884d6362280667c869f2e5fd109aa6c62c023f284ce054feff26d583de428
+JSON/Markdown link digest: 18cf4f291ee107afa28e4cbe7cf8835ff45a833a6f88d985373759ac268cdf4d
diff --git a/research/experiments/EXP-BATCH-20260909223705-37/reports/AIRR-2026-0001.review.json b/research/experiments/EXP-BATCH-20260909223705-37/reports/AIRR-2026-0001.review.json
new file mode 100644
index 0000000000000000000000000000000000000000..806fb520faf49f8f6ce6d949e1e105b2ca17c94f
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-37/reports/AIRR-2026-0001.review.json
@@ -0,0 +1,8 @@
+{
+  "report_id": "AIRR-2026-0001",
+  "review_status": "accepted_as_interpretation",
+  "reviewer": "Thomas Heisig",
+  "reviewed_at": "2026-09-10T06:05:19.389553+00:00",
+  "comments": "Fehler",
+  "report_content_digest": "295884d6362280667c869f2e5fd109aa6c62c023f284ce054feff26d583de428"
+}
diff --git a/research/experiments/EXP-BATCH-20260909223705-37/summary.md b/research/experiments/EXP-BATCH-20260909223705-37/summary.md
new file mode 100644
index 0000000000000000000000000000000000000000..e84ea348892d457176f415b9ec235828e5fc1012
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-37/summary.md
@@ -0,0 +1,221 @@
+# EXP-BATCH-20260909223705-37: Wissenschaftliche Zusammenfassung
+
+Diese Zusammenfassung wird deterministisch aus Manifest, Workflow, DATA und — sofern vorhanden — dem AIRR aufgebaut. Zahlen und Formeln stammen aus den gespeicherten Laufdaten beziehungsweise dem deterministischen Statistics Engine; KI-Text bleibt davon getrennt.
+
+## 1. Identifikation und Status
+
+- Experimentstatus: `completed`
+- Forschungsfrage: `RQ-REPL-001`
+- Hypothese: `H-REPL-001-A`
+- Protokoll: `independent_replication_v1`
+- Durchlaeufe: `40`
+- Seeds: `[101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120]`
+- Angeforderte Ticks: `256`
+- Tickgebundene SNN-Läufe (PING/TEMP/5D): `256 .. 256` ausgeführte Ticks
+- Tick-Vertrag: `SATISFIED`
+- TIME-Ladder: Der angeforderte Endpunkt wird je Seed separat validiert; Zwischenstufen duerfen kleiner sein.
+- Trial-/Regulationsprotokolle: Interne Versuchszyklen sind nicht mit `ticks_executed` gleichzusetzen und werden nicht in die SNN-Tickspanne eingerechnet.
+- Laufmodus: `REPLICATION`
+- Netzwerkmodus: `OFFLINE`
+
+## 2. Semantische Konsistenz
+
+- RQ/Condition-Pruefung: `DIRECT_MATCH`
+- Evidence Readiness: `BLOCKED_DIRTY_SOURCE_TREE`
+- Begründung: REPL-001 erwartet beide Rekurrenzarme mit unabhängiger Seedstrategie.
+- Beobachtete Conditions: `recurrence_off, recurrence_on`
+
+`DIRECT_MATCH` bezeichnet einen gezielten RQ-spezifischen Lauf. `CONTAINS_MATCH` bedeutet, dass die passende Teilstudie innerhalb einer Gesamtsuite enthalten ist; nur diese Teilstudie ist primaer fuer die registrierte RQ auszuwerten. `MISMATCH` blockiert die Nutzung als Evidenz fuer die registrierte Forschungsfrage, auch wenn die technische Ausfuehrung fehlerfrei war.
+
+## 3. Ausfuehrungsparameter
+
+- Titel: Experiment workflow: independent_replication_v1
+- Bedingungen: Registered protocol conditions
+- Notizen: Keine.
+- Konfiguration: `F:\Brain-5D\configs\learning_experiment.yaml`
+- Config SHA-256: `6f6cd457caf6216c286fee47ef03b529a0b496ed2dd53ee96b85d3b51e7b3a1c`
+- Git Commit: `8184fc74654169e4d01552f093dd807f065c34e3`
+- Git dirty: `True`
+- Runtime: `0.15903179999440908` s
+
+## 4. Deterministische Formeln
+
+Die im Bericht verwendeten deskriptiven Groessen sind:
+
+- Mittelwert: $\bar{x}=\frac{1}{n}\sum_{i=1}^{n}x_i$
+- Populationsstandardabweichung: $\sigma=\sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i-\bar{x})^2}$
+- Absolute Differenz: $\Delta_x=\bar{x}_B-\bar{x}_A$
+- Verhältnis: $R_x=\bar{x}_B/\bar{x}_A$ fuer $\bar{x}_A\neq0$
+- Inter-Spike-Intervall: $ISI_i=t_{i+1}-t_i$
+
+Diese Formeln sind deskriptiv. Ohne registrierten Inferenztest, unabhaengige Stichprobenannahme und passende Versuchsplanung werden daraus keine Signifikanz- oder Kausalbehauptungen abgeleitet.
+
+## 5. Ergebnisse nach Bedingung
+
+| Condition | n | Seeds | Ticks mean | Spikes mean | Syn. events mean | Aktivierte Neuronen mean | Recurrent events mean | Propagation depth mean |
+| --- | ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| recurrence_off | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | 256 | 3 | 2 | 3 | 0 | 1 |
+| recurrence_on | 20 | 101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120 | 256 | 33 | 33 | 3 | 10 | 61 |
+
+### 5.1 Deskriptive Zwei-Bedingungs-Effekte
+
+- `activated_neurons`: $\Delta=0$; $R=1$; Referenz `recurrence_off`, Vergleich `recurrence_on`.
+- `delivered_synaptic_events`: $\Delta=31$; $R=16.5$; Referenz `recurrence_off`, Vergleich `recurrence_on`.
+- `first_response_latency`: $\Delta=0$; $R=1$; Referenz `recurrence_off`, Vergleich `recurrence_on`.
+- `last_response_latency`: $\Delta=60$; $R=31$; Referenz `recurrence_off`, Vergleich `recurrence_on`.
+- `propagation_depth`: $\Delta=60$; $R=61$; Referenz `recurrence_off`, Vergleich `recurrence_on`.
+- `recurrent_events`: $\Delta=10$; $R=—$; Referenz `recurrence_off`, Vergleich `recurrence_on`.
+- `synaptic_activity_ticks`: $\Delta=31$; $R=16.5$; Referenz `recurrence_off`, Vergleich `recurrence_on`.
+- `ticks_executed`: $\Delta=0$; $R=1$; Referenz `recurrence_off`, Vergleich `recurrence_on`.
+- `total_spikes`: $\Delta=30$; $R=11$; Referenz `recurrence_off`, Vergleich `recurrence_on`.
+
+### 5.2 Inter-Spike-Intervalle
+
+- `recurrence_off`: n=40, mean=1, median=1, min=1, max=1 Ticks.
+- `recurrence_on`: n=640, mean=1.9375, median=2, min=1, max=4 Ticks.
+
+## 6. Einzelne Läufe
+
+| Seed | Condition | Ticks | Spikes | Syn. events | Aktivierte Neuronen | Recurrent events | Depth | Runtime error |
+| ---: | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
+| 101 | recurrence_off | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 101 | recurrence_on | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 102 | recurrence_off | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 102 | recurrence_on | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 103 | recurrence_off | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 103 | recurrence_on | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 104 | recurrence_off | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 104 | recurrence_on | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 105 | recurrence_off | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 105 | recurrence_on | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 106 | recurrence_off | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 106 | recurrence_on | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 107 | recurrence_off | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 107 | recurrence_on | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 108 | recurrence_off | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 108 | recurrence_on | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 109 | recurrence_off | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 109 | recurrence_on | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 110 | recurrence_off | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 110 | recurrence_on | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 111 | recurrence_off | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 111 | recurrence_on | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 112 | recurrence_off | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 112 | recurrence_on | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 113 | recurrence_off | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 113 | recurrence_on | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 114 | recurrence_off | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 114 | recurrence_on | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 115 | recurrence_off | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 115 | recurrence_on | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 116 | recurrence_off | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 116 | recurrence_on | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 117 | recurrence_off | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 117 | recurrence_on | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 118 | recurrence_off | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 118 | recurrence_on | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 119 | recurrence_off | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 119 | recurrence_on | 256 | 33 | 33 | 3 | 10 | 61 | — |
+| 120 | recurrence_off | 256 | 3 | 2 | 3 | 0 | 1 | — |
+| 120 | recurrence_on | 256 | 33 | 33 | 3 | 10 | 61 | — |
+
+## 7. Reproduzierbarkeit und Provenienz
+
+Identische Ausgaben ueber mehrere Seeds dokumentieren reproduzierbare Modelltrajektorien unter diesen Bedingungen. Sie sind nicht automatisch statistisch unabhaengige Replikate. State-Digests sind Integritaets-/Identitaetsmarker und keine metrischen Zustandsabstaende.
+
+Deterministische Statistikdatei: [`analysis/statistics.json`](analysis/statistics.json)
+
+## 8. AI Research Report
+
+- AIRR Status: `generated`
+- Wissenschaftliche Evidenz durch KI: `false`
+- Human Review: `PENDING`
+- AIRR Markdown: [`reports/AIRR-2026-0001.md`](reports/AIRR-2026-0001.md)
+- AIRR JSON: [`reports/AIRR-2026-0001.json`](reports/AIRR-2026-0001.json)
+
+### 8.1 KI-Einschaetzung
+
+Die Rolle scientific_writer konnte nicht ausgeführt werden. Es liegt keine schema-konforme Modellanalyse vor.
+
+KI-Konfidenz: `0.0` — dies ist keine statistische Konfidenz.
+
+### Methodische Kritik
+
+- AI analysis unavailable; deterministic experiment artifacts remain the authoritative data basis.
+- Technical reason: TimeoutError: timed out
+
+### Alternative Erklaerungen
+
+- Keine expliziten Angaben.
+
+### Fehlende Nachweise
+
+- Run the role again with a schema-conforming backend response.
+- Complete mandatory human review before interpreting this report.
+
+### Empfohlene Folgeexperimente
+
+- Keine expliziten Folgeexperimente im AIRR angegeben.
+
+## 9. Artefakte
+
+- [analysis/ai_packet.json](analysis/ai_packet.json)
+- [analysis/ai_packet_digest.json](analysis/ai_packet_digest.json)
+- [analysis/AIAR-critical_reviewer-20260910013652067606-75897eed.json](analysis/AIAR-critical_reviewer-20260910013652067606-75897eed.json)
+- [analysis/AIAR-scientific_analyst-20260910013551995880-75897eed.json](analysis/AIAR-scientific_analyst-20260910013551995880-75897eed.json)
+- [analysis/AIAR-scientific_writer-20260910013752092401-75897eed.json](analysis/AIAR-scientific_writer-20260910013752092401-75897eed.json)
+- [analysis/statistics.json](analysis/statistics.json)
+- [DATA/current_run.json](DATA/current_run.json)
+- [DATA/raw/run-0000-recurrence_off-seed-101.json.gz](DATA/raw/run-0000-recurrence_off-seed-101.json.gz)
+- [DATA/raw/run-0001-recurrence_on-seed-101.json.gz](DATA/raw/run-0001-recurrence_on-seed-101.json.gz)
+- [DATA/raw/run-0002-recurrence_off-seed-102.json.gz](DATA/raw/run-0002-recurrence_off-seed-102.json.gz)
+- [DATA/raw/run-0003-recurrence_on-seed-102.json.gz](DATA/raw/run-0003-recurrence_on-seed-102.json.gz)
+- [DATA/raw/run-0004-recurrence_off-seed-103.json.gz](DATA/raw/run-0004-recurrence_off-seed-103.json.gz)
+- [DATA/raw/run-0005-recurrence_on-seed-103.json.gz](DATA/raw/run-0005-recurrence_on-seed-103.json.gz)
+- [DATA/raw/run-0006-recurrence_off-seed-104.json.gz](DATA/raw/run-0006-recurrence_off-seed-104.json.gz)
+- [DATA/raw/run-0007-recurrence_on-seed-104.json.gz](DATA/raw/run-0007-recurrence_on-seed-104.json.gz)
+- [DATA/raw/run-0008-recurrence_off-seed-105.json.gz](DATA/raw/run-0008-recurrence_off-seed-105.json.gz)
+- [DATA/raw/run-0009-recurrence_on-seed-105.json.gz](DATA/raw/run-0009-recurrence_on-seed-105.json.gz)
+- [DATA/raw/run-0010-recurrence_off-seed-106.json.gz](DATA/raw/run-0010-recurrence_off-seed-106.json.gz)
+- [DATA/raw/run-0011-recurrence_on-seed-106.json.gz](DATA/raw/run-0011-recurrence_on-seed-106.json.gz)
+- [DATA/raw/run-0012-recurrence_off-seed-107.json.gz](DATA/raw/run-0012-recurrence_off-seed-107.json.gz)
+- [DATA/raw/run-0013-recurrence_on-seed-107.json.gz](DATA/raw/run-0013-recurrence_on-seed-107.json.gz)
+- [DATA/raw/run-0014-recurrence_off-seed-108.json.gz](DATA/raw/run-0014-recurrence_off-seed-108.json.gz)
+- [DATA/raw/run-0015-recurrence_on-seed-108.json.gz](DATA/raw/run-0015-recurrence_on-seed-108.json.gz)
+- [DATA/raw/run-0016-recurrence_off-seed-109.json.gz](DATA/raw/run-0016-recurrence_off-seed-109.json.gz)
+- [DATA/raw/run-0017-recurrence_on-seed-109.json.gz](DATA/raw/run-0017-recurrence_on-seed-109.json.gz)
+- [DATA/raw/run-0018-recurrence_off-seed-110.json.gz](DATA/raw/run-0018-recurrence_off-seed-110.json.gz)
+- [DATA/raw/run-0019-recurrence_on-seed-110.json.gz](DATA/raw/run-0019-recurrence_on-seed-110.json.gz)
+- [DATA/raw/run-0020-recurrence_off-seed-111.json.gz](DATA/raw/run-0020-recurrence_off-seed-111.json.gz)
+- [DATA/raw/run-0021-recurrence_on-seed-111.json.gz](DATA/raw/run-0021-recurrence_on-seed-111.json.gz)
+- [DATA/raw/run-0022-recurrence_off-seed-112.json.gz](DATA/raw/run-0022-recurrence_off-seed-112.json.gz)
+- [DATA/raw/run-0023-recurrence_on-seed-112.json.gz](DATA/raw/run-0023-recurrence_on-seed-112.json.gz)
+- [DATA/raw/run-0024-recurrence_off-seed-113.json.gz](DATA/raw/run-0024-recurrence_off-seed-113.json.gz)
+- [DATA/raw/run-0025-recurrence_on-seed-113.json.gz](DATA/raw/run-0025-recurrence_on-seed-113.json.gz)
+- [DATA/raw/run-0026-recurrence_off-seed-114.json.gz](DATA/raw/run-0026-recurrence_off-seed-114.json.gz)
+- [DATA/raw/run-0027-recurrence_on-seed-114.json.gz](DATA/raw/run-0027-recurrence_on-seed-114.json.gz)
+- [DATA/raw/run-0028-recurrence_off-seed-115.json.gz](DATA/raw/run-0028-recurrence_off-seed-115.json.gz)
+- [DATA/raw/run-0029-recurrence_on-seed-115.json.gz](DATA/raw/run-0029-recurrence_on-seed-115.json.gz)
+- [DATA/raw/run-0030-recurrence_off-seed-116.json.gz](DATA/raw/run-0030-recurrence_off-seed-116.json.gz)
+- [DATA/raw/run-0031-recurrence_on-seed-116.json.gz](DATA/raw/run-0031-recurrence_on-seed-116.json.gz)
+- [DATA/raw/run-0032-recurrence_off-seed-117.json.gz](DATA/raw/run-0032-recurrence_off-seed-117.json.gz)
+- [DATA/raw/run-0033-recurrence_on-seed-117.json.gz](DATA/raw/run-0033-recurrence_on-seed-117.json.gz)
+- [DATA/raw/run-0034-recurrence_off-seed-118.json.gz](DATA/raw/run-0034-recurrence_off-seed-118.json.gz)
+- [DATA/raw/run-0035-recurrence_on-seed-118.json.gz](DATA/raw/run-0035-recurrence_on-seed-118.json.gz)
+- [DATA/raw/run-0036-recurrence_off-seed-119.json.gz](DATA/raw/run-0036-recurrence_off-seed-119.json.gz)
+- [DATA/raw/run-0037-recurrence_on-seed-119.json.gz](DATA/raw/run-0037-recurrence_on-seed-119.json.gz)
+- [DATA/raw/run-0038-recurrence_off-seed-120.json.gz](DATA/raw/run-0038-recurrence_off-seed-120.json.gz)
+- [DATA/raw/run-0039-recurrence_on-seed-120.json.gz](DATA/raw/run-0039-recurrence_on-seed-120.json.gz)
+- [DATA/runs.json](DATA/runs.json)
+- [DATA/runs_index.json](DATA/runs_index.json)
+- [manifest.json](manifest.json)
+- [report.md](report.md)
+- [reports/AIRR-2026-0001.json](reports/AIRR-2026-0001.json)
+- [reports/AIRR-2026-0001.md](reports/AIRR-2026-0001.md)
+- [workflow.json](workflow.json)
+
+## 10. Wissenschaftliche Grenze und Schlussfolgerung
+
+Die technischen Laufdaten duerfen deskriptiv ausgewertet werden. Eine Hypothese gilt dadurch nicht automatisch als bestaetigt oder widerlegt. Kausale Aussagen sind nur fuer explizit kontrollierte Interventionen und nur innerhalb des simulierten Systems zulaessig; biologische Generalisierung erfordert zusaetzliche Evidenz. Die KI-Auswertung ist post-hoc und besitzt keine Evidenzfreigabe.
+
+**Gesamtstatus:** technische Ausfuehrung `completed`, Tick-Vertrag `SATISFIED`, semantische Zuordnung `DIRECT_MATCH`, wissenschaftliche Evidenz `false` bis zur menschlichen Review/Freigabe.
diff --git a/research/experiments/EXP-BATCH-20260909223705-37/workflow.json b/research/experiments/EXP-BATCH-20260909223705-37/workflow.json
new file mode 100644
index 0000000000000000000000000000000000000000..db7bd021f1282641430358f515f4dabaf578b9fd
--- /dev/null
+++ b/research/experiments/EXP-BATCH-20260909223705-37/workflow.json
@@ -0,0 +1,49 @@
+{
+  "experiment_id": "EXP-BATCH-20260909223705-37",
+  "research_question": "RQ-REPL-001",
+  "hypothesis": "H-REPL-001-A",
+  "title": "Experiment workflow: independent_replication_v1",
+  "conditions": "Registered protocol conditions",
+  "ticks": 256,
+  "ticks_contract": "minimum requested observation window",
+  "seeds": [
+    101,
+    102,
+    103,
+    104,
+    105,
+    106,
+    107,
+    108,
+    109,
+    110,
+    111,
+    112,
+    113,
+    114,
+    115,
+    116,
+    117,
+    118,
+    119,
+    120
+  ],
+  "protocol": "independent_replication_v1",
+  "resolved_runner": "run_replication",
+  "tick_validation": {
+    "status": "SATISFIED",
+    "mode": "minimum_per_run",
+    "requested_ticks": 256,
+    "observed_min": 256,
+    "observed_max": 256
+  },
+  "notes": "",
+  "execution": "registered experiment_suite runner",
+  "assistant_policy": "AI is post-hoc interpretation only.",
+  "epistemic_layers": {
+    "ui_state": "operator/dashboard progress only; not a scientific result",
+    "data": "DATA artifacts and deterministic statistics are authoritative run outputs",
+    "evid": "not_created; requires semantic validation, clean freeze and human review",
+    "interpretation": "post-hoc AI or human interpretation; never execution input"
+  }
+}