| { |
| "schema_version": "1.0.0", |
| "research_version": "3.0.0", |
| "release_revision": "HF.1", |
| "format": "UTF-8 JSON Lines", |
| "split_semantics": "test is an organizational label, not a held-out ML benchmark", |
| "nested_json_columns": "Columns ending _json hold strict JSON strings; decode explicitly.", |
| "configurations": { |
| "tomography_exact": { |
| "path": "data/tomography_exact.jsonl", |
| "split": "test", |
| "rows": 33, |
| "row_unit": "one visible-spectrum rational reconstruction fixture", |
| "fields": { |
| "record_id": "string", |
| "m": "integer", |
| "t": "array[string]", |
| "r": "array[string]", |
| "probe_z": "array[string]", |
| "P_ascending": "array[string]", |
| "Q_ascending": "array[string]", |
| "rank": "integer", |
| "probe_response_exact": "array[string]", |
| "evidence_kind": "string", |
| "source_file": "string", |
| "source_pointer": "string" |
| }, |
| "source_files": [ |
| { |
| "path": "research/v3/results/tomography_check.json", |
| "sha256": "e984dea79e1bbf4d76d5de3a099ab752e10ed129fdc9b77f50624c0a1de3798d" |
| }, |
| { |
| "path": "research/v3/tomography_check.py", |
| "sha256": "1158b2f5c68a4b6d66b31a9c4d77ffdf5ab0c24b00bfba277c5677daa578ca0a" |
| } |
| ], |
| "scope_note": "Original fields preserved. rank is the interpolation-system rank, not rank(A). Derived responses are exact labels, not measured observations." |
| }, |
| "suite_metrics": { |
| "path": "data/suite_metrics.jsonl", |
| "split": "test", |
| "rows": 50, |
| "row_unit": "one named aggregate metric or scope note", |
| "fields": { |
| "record_id": "string", |
| "suite": "string", |
| "metric_path": "string", |
| "value_type": "string", |
| "value_json": "string", |
| "evidence_kind": "string", |
| "source_file": "string" |
| }, |
| "source_files": [ |
| { |
| "path": "research/v3/results/spectral_order_check.json", |
| "sha256": "629967c5800cc717cc2bb00a316f2f91d385d7207f6b0adbe3e2570a8a6bdac9" |
| }, |
| { |
| "path": "research/v3/results/tomography_check.json", |
| "sha256": "e984dea79e1bbf4d76d5de3a099ab752e10ed129fdc9b77f50624c0a1de3798d" |
| }, |
| { |
| "path": "research/v3/results/foundational_geometry_checks.json", |
| "sha256": "2b9f98e3001f242658786c22d72de898275c00c6b71ca169e8dfecc1d9445c30" |
| } |
| ], |
| "scope_note": "Values are encoded as strict JSON strings to keep one uniform field type. Aggregate fixture counts are not new individual fixture rows." |
| }, |
| "joint_loss_log_grid": { |
| "path": "data/joint_loss_log_grid.jsonl", |
| "split": "test", |
| "rows": 9, |
| "row_unit": "one aggregate step-grid/loss-setting result", |
| "fields": { |
| "record_id": "string", |
| "N": "integer", |
| "h": "number", |
| "paths": "integer", |
| "ell": "number", |
| "c": "number", |
| "nu": "number", |
| "mean_endpoint_log_error": "number", |
| "rms_endpoint_log_error": "number", |
| "mean_uniform_log_error": "number", |
| "p95_uniform_log_error": "number", |
| "mean_survival": "number", |
| "mean_memory": "number", |
| "pulse_variance_mean": "number", |
| "expected_pulse_variance": "number", |
| "seed": "integer", |
| "T": "number", |
| "initial_x": "array[number]", |
| "initial_b": "array[number]", |
| "metadata_provenance": "string", |
| "ensemble_dependence": "string", |
| "evidence_kind": "string", |
| "source_file": "string", |
| "source_pointer": "string" |
| }, |
| "source_files": [ |
| { |
| "path": "research/v3/results/joint_loss_checks.json", |
| "sha256": "4f0ac744731af2046a00f8e0fed244d41826a378e282d534a280466874f25c3f" |
| }, |
| { |
| "path": "research/v3/joint_loss_check.py", |
| "sha256": "bfa28b6615ebc9df443c3fe0499bf944881a9a20ed0551fb0262cfc5f9b55308" |
| } |
| ], |
| "scope_note": "Nine summaries of 256-path model simulations. No trajectory-level or experimental data. CLI reproduction must specify --paths 256." |
| }, |
| "joint_loss_survival_grid": { |
| "path": "data/joint_loss_survival_grid.jsonl", |
| "split": "test", |
| "rows": 15, |
| "row_unit": "one grid/loss-setting aggregate of paired path outputs", |
| "fields": { |
| "record_id": "string", |
| "steps": "integer", |
| "h": "number", |
| "seed": "integer", |
| "ell": "number", |
| "nu": "number", |
| "c": "number", |
| "f": "number", |
| "T": "number", |
| "paths": "integer", |
| "initial_x": "array[number]", |
| "initial_b": "array[number]", |
| "mean_survival": "number", |
| "mean_endpoint_target": "number", |
| "paired_mean_discrepancy": "number", |
| "paired_standard_error": "number", |
| "pathwise_mean_absolute_error": "number", |
| "max_endpoint_quadrature_discrepancy_on_60_checks": "number", |
| "mean_resolved_target": "number", |
| "mean_diffusion_first_target": "number", |
| "minimum_survival": "number", |
| "maximum_survival": "number", |
| "loss_scaling": "string", |
| "metadata_provenance": "string", |
| "ensemble_dependence": "string", |
| "evidence_kind": "string", |
| "source_file": "string", |
| "source_pointer": "string", |
| "ell_index": "integer" |
| }, |
| "source_files": [ |
| { |
| "path": "research/v3/results/joint_loss_simulation.json", |
| "sha256": "33cc7f0c40240aec30367c8a60665ff3a91ccbd1de4cee4621ee548655879140" |
| }, |
| { |
| "path": "research/v3/joint_loss_simulation.py", |
| "sha256": "28cce0fc0b9e3db83f27709cfb281c1eb0369d10e33dfcdd6633b09dc408db56" |
| } |
| ], |
| "scope_note": "Fifteen rows reuse three 512-path controller ensembles. Quadrature maxima belong to the grid and are repeated across its five rows. No certified convergence rate.", |
| "grid_shared_source_metrics": [ |
| "max_endpoint_quadrature_discrepancy_on_60_checks", |
| "mean_resolved_target", |
| "mean_diffusion_first_target", |
| "minimum_survival", |
| "maximum_survival" |
| ], |
| "grid_shared_metric_note": "These scalar metrics are repeated in each of the five ell rows for a grid. Survival minima/maxima cover all paths and all five loss settings at that grid, rather than that row alone." |
| }, |
| "tomography_conditioning": { |
| "path": "data/tomography_conditioning.jsonl", |
| "split": "test", |
| "rows": 5, |
| "row_unit": "one floating inverse-system conditioning illustration", |
| "fields": { |
| "record_id": "string", |
| "sigma_gap": "string", |
| "floating_2norm_condition": "number", |
| "evidence_kind": "string", |
| "source_file": "string", |
| "source_pointer": "string" |
| }, |
| "source_files": [ |
| { |
| "path": "research/v3/results/tomography_check.json", |
| "sha256": "e984dea79e1bbf4d76d5de3a099ab752e10ed129fdc9b77f50624c0a1de3798d" |
| } |
| ], |
| "scope_note": "Five illustrations only; no stable noisy inverse theorem or measurement noise data." |
| }, |
| "claims": { |
| "path": "data/claims.jsonl", |
| "split": "test", |
| "rows": 32, |
| "row_unit": "one source-authored scoped mathematical/research claim", |
| "fields": { |
| "record_id": "string", |
| "title": "string", |
| "kind": "string", |
| "statement": "string", |
| "report_reference_json": "string", |
| "assumptions_json": "string", |
| "proof_status_json": "string", |
| "evidence_json": "string", |
| "limits_json": "string", |
| "priority_json": "string", |
| "independent_review_focus_json": "string", |
| "evidence_kind": "string", |
| "source_file": "string" |
| }, |
| "source_files": [ |
| { |
| "path": "CLAIM_LEDGER.json", |
| "sha256": "f52c5527634f595be44815f2996199ca15f766b664082f5863aebd12983f3c18" |
| }, |
| { |
| "path": "research/Avenyra_Geometric_Memory_Physics.tex", |
| "sha256": "a3e9a40c61ad64af5a5e18725ddfa11821b1bc6c9685cd2afad7ba9b432cf689" |
| } |
| ], |
| "scope_note": "AI-assisted claim annotations, not external human review, formal proof objects, measured facts or independent ground-truth labels. Nested fields are preserved as JSON strings; full native ledger is also supplied." |
| }, |
| "research_sections": { |
| "path": "data/research_sections.jsonl", |
| "split": "test", |
| "rows": 26, |
| "row_unit": "one authored LaTeX section from the integrated manuscript", |
| "fields": { |
| "record_id": "string", |
| "section_index": "integer", |
| "title_latex": "string", |
| "text_latex": "string", |
| "labels": "array[string]", |
| "source_line_start": "integer", |
| "source_line_end": "integer", |
| "context_requirement": "string", |
| "evidence_kind": "string", |
| "source_file": "string" |
| }, |
| "source_files": [ |
| { |
| "path": "research/Avenyra_Geometric_Memory_Physics.tex", |
| "sha256": "a3e9a40c61ad64af5a5e18725ddfa11821b1bc6c9685cd2afad7ba9b432cf689" |
| } |
| ], |
| "scope_note": "Retrieval corpus preserving arguments and limits. Contains author text and attributed references, not full external papers. No model-training outcome tested." |
| } |
| }, |
| "total_rows": 170 |
| } |
|
|
