SDL-2 release

.gitattributes

@@ -58,3 +58,128 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md

@@ -0,0 +1,119 @@
+---
+license: cc-by-4.0
+pretty_name: SDL-2
+language:
+- en
+tags:
+- agents
+- benchmark
+- scientific-agents
+- materials-science
+- experiment-design
+size_categories:
+- n<1K
+configs:
+- config_name: investigations
+  data_files: investigations.parquet
+  default: true
+- config_name: worlds
+  data_files: worlds/worlds.jsonl
+- config_name: routes
+  data_files: worlds/routes.parquet
+---
+
+# SDL-2
+
+SDL-2 measures whether AI agents can decide, from experiments they choose, whether a process will reliably meet a stated performance requirement. Each investigation takes place in a digital twin of magnet processing. The investigator chooses experiments and either nominates a reliable processing route or concludes that none works.
+
+This dataset contains all 32 evaluation worlds with their hidden parameters and the true outcome of every route, and all 256 investigations with their scores and released traces. Each of six language models and two classical methods ran once on every world.
+
+The [research post](https://dynamicalsystems.ai/blog/sdl-2) explains the findings. The [code repository](https://github.com/Dynamical-Systems-Research/sdl2) provides the harness, grader, baselines, digital twin and reproduction commands.
+
+## Start here
+
+- Use `investigations.parquet` to compare decisions, scores and experiment spending, and to locate each trace.
+- Use `worlds/routes.parquet` to inspect what each processing route can reliably deliver.
+- Follow the [reproduction instructions](https://github.com/Dynamical-Systems-Research/sdl2#reproduce-the-results) to regenerate the published results from the released records.
+
+## Contents
+
+| Path | Contents |
+|---|---|
+| `investigations.parquet` | One row per investigation, with investigator, world, decision, Outcome, Supported, Both, credits, model cost and trace path |
+| `worlds/worlds.jsonl` | One row per world, with its class, whether a working route exists and hidden parameters |
+| `worlds/routes.parquet` | One row per world and route, with the true probability that magnets from a fresh batch meet the requirement |
+| `worlds/records/`, `worlds/truth/` | The world records read by the grader and their complete route outcomes |
+| `worlds/board-package/` | The physics package needed to run and grade the evaluation worlds |
+| `worlds/board_panel.json`, `worlds/ranking/` | World setup records and the supplied model’s route ranking |
+| `traces/<episode>.tar.zst` | Each investigation’s released record |
+| `board/` | Frozen grades, results, sensitivity analyses, paired comparisons and investigation list |
+| `post/` | The research post’s data, regenerated by `sdl2 reproduce` |
+| `annotations/blind_variation/` | Annotations, codebook and identity key for the 66 near-requirement language-model claims |
+| `environment/` | The experimental record, supplied physics models and initial investigation state used by the harness, with the exclusions below |
+| `images/` | The aarch64 container images used by the harness |
+| `replaced/` | The original replaced investigation and its grade |
+| `MANIFEST.sha256`, `WITHHELD.json` | File hashes and the record of omissions and redactions |
+
+A trace contains the agent’s transcript, provider requests and responses, readable reasoning, laboratory requests and deliveries, retained workspace files and grade inputs. The shared initial laboratory state is stored once in `environment/base-investigation/`.
+
+## Scoring
+
+The investigator has 570 experiment credits, at most 12 new magnets and 8,064 candidate routes. A route works when three magnets made from a fresh batch all meet 10 kOe coercivity and 11 MGOe energy product with probability at least 0.95.
+
+- **Outcome** means the decision is true in the hidden world and within the resource limits.
+- **Supported** means the investigator’s own measurements meet the fixed evidence rule.
+- **Both** requires a correct, supported decision.
+
+A supported nomination requires full magnetic curves on at least two magnets of the exact route, with every magnetic reading of that route passing. A supported conclusion that no route works requires full curves on at least one of the world’s 100 routes closest to passing, with every such reading failing. A reading is judged against the magnetic limit or limits it measures. The [grading rules](https://github.com/Dynamical-Systems-Research/sdl2#scoring) specify the probabilities and implementation.
+
+## Collection and provenance
+
+The evaluation used 32 simulated worlds, balanced between 16 with a working route and 16 without one. Worlds were drawn from the supplied physics model’s uncertainty and selected on hidden properties, with quotas fixed before any agent ran. Language models used the same Pi 1.4.0 harness, at high reasoning effort, offline and text-only. Each model was pinned to one provider through OpenRouter.
+
+The study ran on Linux aarch64. The release’s grading and reproduction commands have also been verified on Linux x86_64. Running a new investigation requires the released aarch64 container images. Platform requirements and evaluation issues are documented in the [repository README](https://github.com/Dynamical-Systems-Research/sdl2).
+
+The physical record under `environment/` comes from our experimental campaign with Rensselaer Polytechnic Institute (RPI). RPI cleared its data for this release. Its correspondence is withheld.
+
+## Release scope
+
+The following material is omitted or redacted. File hashes and redaction markers preserve the connection to the original records.
+
+- **Held-out worlds.** The 96 held-out worlds are excluded. The released physics package reproduces every route outcome in the 32 evaluation worlds.
+- **RPI correspondence.** Messages, meeting transcript excerpts and message fields in delivery records are withheld. Quoted measurements and their methods or conditions remain.
+- **Article texts.** Full texts of [Wu et al.](https://doi.org/10.1016/j.jallcom.2025.183663) and [Singh et al.](https://doi.org/10.1002/adfm.202525433) are withheld. DOIs and transcribed numbers remain. [Ikram et al.](https://doi.org/10.1016/j.jallcom.2018.09.322) is included under CC BY 4.0.
+- **Provider-encrypted reasoning and signatures.** Encrypted payloads and reasoning signatures are withheld. Readable reasoning and summaries remain as returned.
+- **Intermediate workspace files.** The release omits 300 agent scratch files larger than 5 MB and 613 pickle files, listed by hash in `WITHHELD.json`. These are not needed to grade investigations or reproduce the published results.
+
+The original agents had the correspondence and article texts listed above. New runs use the released context, so they do not recreate every information condition of the recorded investigations.
+
+<details>
+<summary>Redaction and world-package details</summary>
+
+Correspondence is replaced with `[withheld:correspondence sha256=…]`, article text with `[withheld:article:… sha256=…]` and encrypted reasoning or signatures with `[withheld:provider-encrypted sha256=…]`. In traces, attributed withheld quotes and verbatim runs of 64 or more characters are replaced. Shorter paraphrases in the agent’s own words remain.
+
+The world package keeps the original file shapes. Posterior and anneal rows unused by the evaluation worlds are set to NaN, and the anneal refit’s seed is removed. A row used by an evaluation world can also be sampled by a held-out world, but the held-out world configurations are not released. The package reproduces the frozen evaluation outcomes exactly.
+
+</details>
+
+## AI-generated content
+
+Assistant messages, reasoning and tool calls in the 192 language-model traces are AI-generated. Each trace has an `AI_GENERATED.md` label, and `investigations.parquet` identifies its model. Tool results, laboratory deliveries and grades come from the harness. The 64 classical-baseline traces contain no model output.
+
+## Uses and limits
+
+Use this dataset to evaluate agents on SDL-2, study their investigations and check the published findings. The evaluation measurements are simulated. The twin’s density model is calibrated on the experimental campaign and its magnetic model on earlier samples. The physical records used for calibration are included separately under `environment/`.
+
+## License and citation
+
+The dataset is released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Model outputs were produced under their providers’ terms. The code is released separately under Apache-2.0.
+
+```bibtex
+@article{barnes2026sdl2,
+  author  = {Barnes, Jarrod},
+  title   = {Teaching AI to Explore the Physical World},
+  journal = {Dynamical Systems},
+  year    = {2026},
+  note    = {SDL-2},
+  url     = {https://dynamicalsystems.ai/blog/sdl-2}
+}
+```

annotations/blind_variation/CODEBOOK_VARIATION.md

@@ -0,0 +1,36 @@
+# Codebook: what decided the claim (blind coding)
+
+Context. Each packet is one AI investigation of a simulated magnet powder. The agent had to either NOMINATE a
+processing route, claiming that three magnets made by it from a NEW batch ("preparation") would ALL meet
+Hci >= 10 kOe and (BH)max >= 11 MGOe with probability >= 0.95, or RESTRICT, claiming no route does. Magnetic loop
+readings carry a stated 2% log reading error; magnets of one batch share a batch effect; magnets and pieces also differ.
+"Body" = magnet. You see the agent's decision rationale, its stated next action, and late reasoning excerpts. You do
+not see which model it was or whether it was right. Do not try to find out: read only your batch file.
+
+## Primary code: the argument that decided the final claim (exactly one)
+- V  Variation to next batch. The deciding argument takes differences the agent itself OBSERVED among its measured
+     magnets, batches or readings (scatter, spread, a replicate that came out much lower or higher, a decomposition of
+     reading error versus magnet or batch variation) and turns them into a judgment about whether three magnets from a
+     new batch would all pass. The observed variation must do work in the decision, not just be mentioned.
+- R  Results. The deciding argument rests on whether measured magnets passed and/or by how much (counts of passes,
+     "both passed with margin", "too close to the limit", "best reading"), without turning observed variation into a
+     next-batch judgment.
+- M  Model. The deciding argument is a probability or exclusion from the supplied or fitted physics model / posterior,
+     not anchored on variation the agent observed among its own magnets.
+- N  No pass. No measured magnet on any route passed both limits; the claim rests on failing results (with or without
+     a model).
+Tie-breaks: if observed variation enters the decisive calculation or sentence, code V even if a model is also used.
+If the agent mentions scatter but decides on counts or margin, code R. If unclear, pick the best fit and set
+confidence "low".
+
+## Secondary codes
+- noise_in_requirement: "Y" if the agent treats the 2% reading error as part of whether the requirement is met
+  (computes pass probability on noisy readings), "N" if it separates reading error from magnet/batch variation or
+  treats the requirement as true magnet values, "U" if not discussed.
+- one_pass_insufficient: "Y" if the agent states that one or a few passing magnets do not establish the requirement,
+  else "N".
+
+## Output
+One JSON object per packet, one per line, nothing else:
+{"pid": "P01", "primary": "V|R|M|N", "confidence": "high|low", "noise_in_requirement": "Y|N|U",
+ "one_pass_insufficient": "Y|N", "quote": "<=40 words copied verbatim from the packet that best shows the primary code"}

annotations/blind_variation/README.md

@@ -0,0 +1,6 @@
+Blind coding of what decided each near-requirement claim (Oct 31). 66 language-model investigations in the 11
+near-requirement worlds (6 thin-margin feasible, 5 reliability near misses), both Sparks. packets.py built the
+packets (decision rationale, next action, late reasoning excerpts; no arm, world, probability or outcome), three
+coders applied CODEBOOK_VARIATION.md blind, one batch each; codes_batch*.jsonl hold their codes, blind_key.json the
+join. board_data.py (transcripts) reads them. Agreement with the owner's unblinded codes on 18 local reliability-world
+investigations: 12/18.

annotations/blind_variation/blind_key.json

@@ -0,0 +1,728 @@
+{
+ "P01": {
+  "ep": "e-31d4103efd",
+  "arm": "opus",
+  "world": "4dd7c0",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "restrict",
+  "O": true,
+  "S": false,
+  "local": false
+ },
+ "P02": {
+  "ep": "e-1ec9695249",
+  "arm": "argon",
+  "world": "d6586a",
+  "route": false,
+  "cls": "reliability_near_miss_model_best",
+  "claim": "nominate",
+  "O": false,
+  "S": true,
+  "local": true
+ },
+ "P03": {
+  "ep": "e-74031f0259",
+  "arm": "argon",
+  "world": "4dd7c0",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "restrict",
+  "O": true,
+  "S": false,
+  "local": false
+ },
+ "P04": {
+  "ep": "e-0eacf503d7",
+  "arm": "astra",
+  "world": "12e960",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "restrict",
+  "O": true,
+  "S": false,
+  "local": true
+ },
+ "P05": {
+  "ep": "e-fad584fdc8",
+  "arm": "astra",
+  "world": "4dd7c0",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "restrict",
+  "O": true,
+  "S": false,
+  "local": false
+ },
+ "P06": {
+  "ep": "e-9216a1505a",
+  "arm": "astra",
+  "world": "7ac0f2",
+  "route": true,
+  "cls": "anneal",
+  "claim": "restrict",
+  "O": false,
+  "S": false,
+  "local": false
+ },
+ "P07": {
+  "ep": "e-1c0132ce4a",
+  "arm": "opus",
+  "world": "99e0fb",
+  "route": true,
+  "cls": "load",
+  "claim": "nominate",
+  "O": false,
+  "S": true,
+  "local": true
+ },
+ "P08": {
+  "ep": "e-99c76151b6",
+  "arm": "astra",
+  "world": "ff8bd7",
+  "route": true,
+  "cls": "feedstock",
+  "claim": "restrict",
+  "O": false,
+  "S": false,
+  "local": false
+ },
+ "P09": {
+  "ep": "e-e72edb6dfc",
+  "arm": "sonnet",
+  "world": "7ac0f2",
+  "route": true,
+  "cls": "anneal",
+  "claim": "nominate",
+  "O": true,
+  "S": false,
+  "local": false
+ },
+ "P10": {
+  "ep": "e-5c98a7e94c",
+  "arm": "glm",
+  "world": "4dd7c0",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "restrict",
+  "O": true,
+  "S": true,
+  "local": false
+ },
+ "P11": {
+  "ep": "e-439772d6b8",
+  "arm": "glm",
+  "world": "d6586a",
+  "route": false,
+  "cls": "reliability_near_miss_model_best",
+  "claim": "restrict",
+  "O": true,
+  "S": false,
+  "local": true
+ },
+ "P12": {
+  "ep": "e-e69b760c94",
+  "arm": "sonnet",
+  "world": "17c2d6",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "nominate",
+  "O": false,
+  "S": true,
+  "local": false
+ },
+ "P13": {
+  "ep": "e-3fcfa1c3d9",
+  "arm": "dsflash",
+  "world": "35aa70",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "restrict",
+  "O": true,
+  "S": false,
+  "local": true
+ },
+ "P14": {
+  "ep": "e-ab778c976a",
+  "arm": "opus",
+  "world": "ed7de3",
+  "route": true,
+  "cls": "multi",
+  "claim": "restrict",
+  "O": false,
+  "S": true,
+  "local": false
+ },
+ "P15": {
+  "ep": "e-5b2ab88daa",
+  "arm": "dsflash",
+  "world": "17c2d6",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "nominate",
+  "O": false,
+  "S": true,
+  "local": false
+ },
+ "P16": {
+  "ep": "e-f11d162721",
+  "arm": "sonnet",
+  "world": "38ab58",
+  "route": true,
+  "cls": "multi",
+  "claim": "nominate",
+  "O": false,
+  "S": false,
+  "local": true
+ },
+ "P17": {
+  "ep": "e-f8a989d2a9",
+  "arm": "sonnet",
+  "world": "f18afd",
+  "route": true,
+  "cls": "anneal",
+  "claim": "restrict",
+  "O": false,
+  "S": false,
+  "local": false
+ },
+ "P18": {
+  "ep": "e-707fef1b21",
+  "arm": "argon",
+  "world": "99e0fb",
+  "route": true,
+  "cls": "load",
+  "claim": "nominate",
+  "O": false,
+  "S": true,
+  "local": true
+ },
+ "P19": {
+  "ep": "e-152a79e040",
+  "arm": "dsflash",
+  "world": "ed7de3",
+  "route": true,
+  "cls": "multi",
+  "claim": "restrict",
+  "O": false,
+  "S": false,
+  "local": false
+ },
+ "P20": {
+  "ep": "e-fc465850ea",
+  "arm": "dsflash",
+  "world": "d6586a",
+  "route": false,
+  "cls": "reliability_near_miss_model_best",
+  "claim": "restrict",
+  "O": true,
+  "S": false,
+  "local": true
+ },
+ "P21": {
+  "ep": "e-74550e09cf",
+  "arm": "sonnet",
+  "world": "35aa70",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "restrict",
+  "O": true,
+  "S": false,
+  "local": true
+ },
+ "P22": {
+  "ep": "e-f9ef4d1446",
+  "arm": "glm",
+  "world": "99e0fb",
+  "route": true,
+  "cls": "load",
+  "claim": "restrict",
+  "O": false,
+  "S": false,
+  "local": true
+ },
+ "P23": {
+  "ep": "e-2fab4fb77c",
+  "arm": "argon",
+  "world": "7ac0f2",
+  "route": true,
+  "cls": "anneal",
+  "claim": "restrict",
+  "O": false,
+  "S": false,
+  "local": false
+ },
+ "P24": {
+  "ep": "e-60e1abfa3c",
+  "arm": "argon",
+  "world": "17c2d6",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "nominate",
+  "O": false,
+  "S": true,
+  "local": false
+ },
+ "P25": {
+  "ep": "e-cf8263ec65",
+  "arm": "dsflash",
+  "world": "4dd7c0",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "restrict",
+  "O": true,
+  "S": false,
+  "local": false
+ },
+ "P26": {
+  "ep": "e-0a019e294c",
+  "arm": "astra",
+  "world": "38ab58",
+  "route": true,
+  "cls": "multi",
+  "claim": "restrict",
+  "O": false,
+  "S": false,
+  "local": true
+ },
+ "P27": {
+  "ep": "e-985a9a4b2e",
+  "arm": "opus",
+  "world": "12e960",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "restrict",
+  "O": true,
+  "S": false,
+  "local": true
+ },
+ "P28": {
+  "ep": "e-234dad5773",
+  "arm": "argon",
+  "world": "f18afd",
+  "route": true,
+  "cls": "anneal",
+  "claim": "restrict",
+  "O": false,
+  "S": false,
+  "local": false
+ },
+ "P29": {
+  "ep": "e-3f8bdc2213",
+  "arm": "argon",
+  "world": "ed7de3",
+  "route": true,
+  "cls": "multi",
+  "claim": "restrict",
+  "O": false,
+  "S": false,
+  "local": false
+ },
+ "P30": {
+  "ep": "e-1767a96db1",
+  "arm": "glm",
+  "world": "38ab58",
+  "route": true,
+  "cls": "multi",
+  "claim": "restrict",
+  "O": false,
+  "S": false,
+  "local": true
+ },
+ "P31": {
+  "ep": "e-cdee8f14a7",
+  "arm": "astra",
+  "world": "ed7de3",
+  "route": true,
+  "cls": "multi",
+  "claim": "restrict",
+  "O": false,
+  "S": true,
+  "local": false
+ },
+ "P32": {
+  "ep": "e-edf800b6ca",
+  "arm": "argon",
+  "world": "38ab58",
+  "route": true,
+  "cls": "multi",
+  "claim": "nominate",
+  "O": true,
+  "S": false,
+  "local": true
+ },
+ "P33": {
+  "ep": "e-c8db46d5ff",
+  "arm": "dsflash",
+  "world": "7ac0f2",
+  "route": true,
+  "cls": "anneal",
+  "claim": "restrict",
+  "O": false,
+  "S": false,
+  "local": false
+ },
+ "P34": {
+  "ep": "e-a165cd3cef",
+  "arm": "opus",
+  "world": "f18afd",
+  "route": true,
+  "cls": "anneal",
+  "claim": "restrict",
+  "O": false,
+  "S": false,
+  "local": false
+ },
+ "P35": {
+  "ep": "e-2acbb6d7d8",
+  "arm": "glm",
+  "world": "7ac0f2",
+  "route": true,
+  "cls": "anneal",
+  "claim": "restrict",
+  "O": false,
+  "S": true,
+  "local": false
+ },
+ "P36": {
+  "ep": "e-b862aca863",
+  "arm": "sonnet",
+  "world": "ed7de3",
+  "route": true,
+  "cls": "multi",
+  "claim": "nominate",
+  "O": false,
+  "S": false,
+  "local": false
+ },
+ "P37": {
+  "ep": "e-517deb1d0e",
+  "arm": "sonnet",
+  "world": "ff8bd7",
+  "route": true,
+  "cls": "feedstock",
+  "claim": "nominate",
+  "O": true,
+  "S": false,
+  "local": false
+ },
+ "P38": {
+  "ep": "e-efda83ae89",
+  "arm": "astra",
+  "world": "f18afd",
+  "route": true,
+  "cls": "anneal",
+  "claim": "restrict",
+  "O": false,
+  "S": false,
+  "local": false
+ },
+ "P39": {
+  "ep": "e-dc3a61eecf",
+  "arm": "sonnet",
+  "world": "4dd7c0",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "nominate",
+  "O": false,
+  "S": false,
+  "local": false
+ },
+ "P40": {
+  "ep": "e-9f3c51eb5a",
+  "arm": "opus",
+  "world": "7ac0f2",
+  "route": true,
+  "cls": "anneal",
+  "claim": "restrict",
+  "O": false,
+  "S": false,
+  "local": false
+ },
+ "P41": {
+  "ep": "e-273a717eba",
+  "arm": "sonnet",
+  "world": "d6586a",
+  "route": false,
+  "cls": "reliability_near_miss_model_best",
+  "claim": "nominate",
+  "O": false,
+  "S": false,
+  "local": true
+ },
+ "P42": {
+  "ep": "e-7d080ce6b6",
+  "arm": "glm",
+  "world": "f18afd",
+  "route": true,
+  "cls": "anneal",
+  "claim": "restrict",
+  "O": false,
+  "S": false,
+  "local": false
+ },
+ "P43": {
+  "ep": "e-1a38c57a60",
+  "arm": "glm",
+  "world": "ff8bd7",
+  "route": true,
+  "cls": "feedstock",
+  "claim": "restrict",
+  "O": false,
+  "S": false,
+  "local": false
+ },
+ "P44": {
+  "ep": "e-fc1c4d67d9",
+  "arm": "glm",
+  "world": "ed7de3",
+  "route": true,
+  "cls": "multi",
+  "claim": "restrict",
+  "O": false,
+  "S": true,
+  "local": false
+ },
+ "P45": {
+  "ep": "e-73a7d7bf5c",
+  "arm": "sonnet",
+  "world": "99e0fb",
+  "route": true,
+  "cls": "load",
+  "claim": "nominate",
+  "O": false,
+  "S": false,
+  "local": true
+ },
+ "P46": {
+  "ep": "e-dd7d9a85ed",
+  "arm": "dsflash",
+  "world": "f18afd",
+  "route": true,
+  "cls": "anneal",
+  "claim": "nominate",
+  "O": false,
+  "S": false,
+  "local": false
+ },
+ "P47": {
+  "ep": "e-25c899f85b",
+  "arm": "sonnet",
+  "world": "12e960",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "restrict",
+  "O": true,
+  "S": true,
+  "local": true
+ },
+ "P48": {
+  "ep": "e-c4a7596825",
+  "arm": "opus",
+  "world": "17c2d6",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "restrict",
+  "O": true,
+  "S": false,
+  "local": false
+ },
+ "P49": {
+  "ep": "e-bc9a9543a3",
+  "arm": "argon",
+  "world": "35aa70",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "nominate",
+  "O": false,
+  "S": true,
+  "local": true
+ },
+ "P50": {
+  "ep": "e-9c1a613863",
+  "arm": "dsflash",
+  "world": "ff8bd7",
+  "route": true,
+  "cls": "feedstock",
+  "claim": "restrict",
+  "O": false,
+  "S": true,
+  "local": false
+ },
+ "P51": {
+  "ep": "e-4614dc0779",
+  "arm": "glm",
+  "world": "17c2d6",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "restrict",
+  "O": true,
+  "S": false,
+  "local": false
+ },
+ "P52": {
+  "ep": "e-a444f77e8b",
+  "arm": "opus",
+  "world": "35aa70",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "restrict",
+  "O": true,
+  "S": false,
+  "local": true
+ },
+ "P53": {
+  "ep": "e-65e22163e4",
+  "arm": "argon",
+  "world": "ff8bd7",
+  "route": true,
+  "cls": "feedstock",
+  "claim": "nominate",
+  "O": true,
+  "S": false,
+  "local": false
+ },
+ "P54": {
+  "ep": "e-e02d3fe0ac",
+  "arm": "opus",
+  "world": "d6586a",
+  "route": false,
+  "cls": "reliability_near_miss_model_best",
+  "claim": "restrict",
+  "O": true,
+  "S": false,
+  "local": true
+ },
+ "P55": {
+  "ep": "e-11b1e64d94",
+  "arm": "astra",
+  "world": "d6586a",
+  "route": false,
+  "cls": "reliability_near_miss_model_best",
+  "claim": "restrict",
+  "O": true,
+  "S": false,
+  "local": true
+ },
+ "P56": {
+  "ep": "e-cf25ea0031",
+  "arm": "astra",
+  "world": "35aa70",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "nominate",
+  "O": false,
+  "S": true,
+  "local": true
+ },
+ "P57": {
+  "ep": "e-984f983149",
+  "arm": "dsflash",
+  "world": "12e960",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "restrict",
+  "O": true,
+  "S": false,
+  "local": true
+ },
+ "P58": {
+  "ep": "e-1817724fa6",
+  "arm": "astra",
+  "world": "17c2d6",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "restrict",
+  "O": true,
+  "S": false,
+  "local": false
+ },
+ "P59": {
+  "ep": "e-8836db34f4",
+  "arm": "glm",
+  "world": "12e960",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "restrict",
+  "O": true,
+  "S": false,
+  "local": true
+ },
+ "P60": {
+  "ep": "e-92e6625eb8",
+  "arm": "argon",
+  "world": "12e960",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "nominate",
+  "O": false,
+  "S": false,
+  "local": true
+ },
+ "P61": {
+  "ep": "e-bebe54069c",
+  "arm": "dsflash",
+  "world": "99e0fb",
+  "route": true,
+  "cls": "load",
+  "claim": "restrict",
+  "O": false,
+  "S": false,
+  "local": true
+ },
+ "P62": {
+  "ep": "e-7e7f9d6ae7",
+  "arm": "dsflash",
+  "world": "38ab58",
+  "route": true,
+  "cls": "multi",
+  "claim": "restrict",
+  "O": false,
+  "S": false,
+  "local": true
+ },
+ "P63": {
+  "ep": "e-558f1b152f",
+  "arm": "astra",
+  "world": "99e0fb",
+  "route": true,
+  "cls": "load",
+  "claim": "restrict",
+  "O": false,
+  "S": false,
+  "local": true
+ },
+ "P64": {
+  "ep": "e-2eb9828c38",
+  "arm": "opus",
+  "world": "ff8bd7",
+  "route": true,
+  "cls": "feedstock",
+  "claim": "restrict",
+  "O": false,
+  "S": true,
+  "local": false
+ },
+ "P65": {
+  "ep": "e-657a9185d0",
+  "arm": "opus",
+  "world": "38ab58",
+  "route": true,
+  "cls": "multi",
+  "claim": "nominate",
+  "O": true,
+  "S": false,
+  "local": true
+ },
+ "P66": {
+  "ep": "e-16da9347f8",
+  "arm": "glm",
+  "world": "35aa70",
+  "route": false,
+  "cls": "reliability_near_miss_best_elsewhere",
+  "claim": "nominate",
+  "O": false,
+  "S": false,
+  "local": true
+ }
+}

annotations/blind_variation/codes_batch1.jsonl

@@ -0,0 +1,22 @@
+{"pid": "P01", "primary": "V", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "Y"}
+{"pid": "P02", "primary": "V", "confidence": "low", "noise_in_requirement": "N", "one_pass_insufficient": "N"}
+{"pid": "P03", "primary": "V", "confidence": "low", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P04", "primary": "V", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "Y"}
+{"pid": "P05", "primary": "M", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "Y"}
+{"pid": "P06", "primary": "M", "confidence": "high", "noise_in_requirement": "Y", "one_pass_insufficient": "Y"}
+{"pid": "P07", "primary": "V", "confidence": "high", "noise_in_requirement": "N", "one_pass_insufficient": "Y"}
+{"pid": "P08", "primary": "R", "confidence": "low", "noise_in_requirement": "Y", "one_pass_insufficient": "Y"}
+{"pid": "P09", "primary": "V", "confidence": "low", "noise_in_requirement": "Y", "one_pass_insufficient": "Y"}
+{"pid": "P10", "primary": "N", "confidence": "high", "noise_in_requirement": "Y", "one_pass_insufficient": "N"}
+{"pid": "P11", "primary": "V", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P12", "primary": "R", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "Y"}
+{"pid": "P13", "primary": "V", "confidence": "low", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P14", "primary": "N", "confidence": "low", "noise_in_requirement": "Y", "one_pass_insufficient": "N"}
+{"pid": "P15", "primary": "V", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P16", "primary": "R", "confidence": "low", "noise_in_requirement": "Y", "one_pass_insufficient": "Y"}
+{"pid": "P17", "primary": "N", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P18", "primary": "R", "confidence": "low", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P19", "primary": "N", "confidence": "high", "noise_in_requirement": "Y", "one_pass_insufficient": "N"}
+{"pid": "P20", "primary": "V", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P21", "primary": "V", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P22", "primary": "V", "confidence": "high", "noise_in_requirement": "Y", "one_pass_insufficient": "Y"}

annotations/blind_variation/codes_batch2.jsonl

@@ -0,0 +1,22 @@
+{"pid": "P23", "primary": "R", "confidence": "low", "noise_in_requirement": "Y", "one_pass_insufficient": "N"}
+{"pid": "P24", "primary": "R", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P25", "primary": "N", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P26", "primary": "V", "confidence": "high", "noise_in_requirement": "N", "one_pass_insufficient": "Y"}
+{"pid": "P27", "primary": "N", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P28", "primary": "R", "confidence": "low", "noise_in_requirement": "Y", "one_pass_insufficient": "N"}
+{"pid": "P29", "primary": "V", "confidence": "high", "noise_in_requirement": "Y", "one_pass_insufficient": "N"}
+{"pid": "P30", "primary": "V", "confidence": "low", "noise_in_requirement": "Y", "one_pass_insufficient": "Y"}
+{"pid": "P31", "primary": "R", "confidence": "low", "noise_in_requirement": "U", "one_pass_insufficient": "Y"}
+{"pid": "P32", "primary": "R", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P33", "primary": "V", "confidence": "high", "noise_in_requirement": "Y", "one_pass_insufficient": "N"}
+{"pid": "P34", "primary": "V", "confidence": "high", "noise_in_requirement": "Y", "one_pass_insufficient": "Y"}
+{"pid": "P35", "primary": "N", "confidence": "low", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P36", "primary": "R", "confidence": "high", "noise_in_requirement": "Y", "one_pass_insufficient": "N"}
+{"pid": "P37", "primary": "R", "confidence": "high", "noise_in_requirement": "Y", "one_pass_insufficient": "N"}
+{"pid": "P38", "primary": "R", "confidence": "high", "noise_in_requirement": "N", "one_pass_insufficient": "Y"}
+{"pid": "P39", "primary": "R", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P40", "primary": "V", "confidence": "high", "noise_in_requirement": "Y", "one_pass_insufficient": "N"}
+{"pid": "P41", "primary": "R", "confidence": "high", "noise_in_requirement": "Y", "one_pass_insufficient": "Y"}
+{"pid": "P42", "primary": "V", "confidence": "high", "noise_in_requirement": "Y", "one_pass_insufficient": "N"}
+{"pid": "P43", "primary": "V", "confidence": "high", "noise_in_requirement": "Y", "one_pass_insufficient": "N"}
+{"pid": "P44", "primary": "V", "confidence": "high", "noise_in_requirement": "Y", "one_pass_insufficient": "N"}

annotations/blind_variation/codes_batch3.jsonl

@@ -0,0 +1,22 @@
+{"pid": "P45", "primary": "R", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "Y"}
+{"pid": "P46", "primary": "V", "confidence": "low", "noise_in_requirement": "Y", "one_pass_insufficient": "Y"}
+{"pid": "P47", "primary": "N", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P48", "primary": "V", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "Y"}
+{"pid": "P49", "primary": "M", "confidence": "low", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P50", "primary": "N", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P51", "primary": "N", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P52", "primary": "V", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "Y"}
+{"pid": "P53", "primary": "R", "confidence": "low", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P54", "primary": "V", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P55", "primary": "V", "confidence": "low", "noise_in_requirement": "U", "one_pass_insufficient": "Y"}
+{"pid": "P56", "primary": "M", "confidence": "high", "noise_in_requirement": "N", "one_pass_insufficient": "Y"}
+{"pid": "P57", "primary": "N", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P58", "primary": "V", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "Y"}
+{"pid": "P59", "primary": "N", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P60", "primary": "R", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P61", "primary": "V", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P62", "primary": "V", "confidence": "high", "noise_in_requirement": "Y", "one_pass_insufficient": "N"}
+{"pid": "P63", "primary": "V", "confidence": "low", "noise_in_requirement": "U", "one_pass_insufficient": "Y"}
+{"pid": "P64", "primary": "N", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P65", "primary": "M", "confidence": "high", "noise_in_requirement": "U", "one_pass_insufficient": "N"}
+{"pid": "P66", "primary": "V", "confidence": "low", "noise_in_requirement": "U", "one_pass_insufficient": "N"}

board/C2S.jsonl

@@ -0,0 +1,256 @@
+{"episode": "e-008a75c27c", "credits_to_supported": 228, "lost": false}
+{"episode": "e-105eaf89e1", "credits_to_supported": 456, "lost": false}
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board/FLOOR.json

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+{
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+   "state": "board-030",
+   "feasible": true,
+   "restrict_all_outcome": false,
+   "top_route_outcome": false
+  },
+  {
+   "order": 24,
+   "state": "board-019",
+   "feasible": false,
+   "restrict_all_outcome": true,
+   "top_route_outcome": false
+  },
+  {
+   "order": 25,
+   "state": "board-015",
+   "feasible": true,
+   "restrict_all_outcome": false,
+   "top_route_outcome": false
+  },
+  {
+   "order": 26,
+   "state": "board-023",
+   "feasible": true,
+   "restrict_all_outcome": false,
+   "top_route_outcome": true
+  },
+  {
+   "order": 27,
+   "state": "board-007",
+   "feasible": false,
+   "restrict_all_outcome": true,
+   "top_route_outcome": false
+  },
+  {
+   "order": 28,
+   "state": "board-021",
+   "feasible": false,
+   "restrict_all_outcome": true,
+   "top_route_outcome": false
+  },
+  {
+   "order": 29,
+   "state": "board-025",
+   "feasible": true,
+   "restrict_all_outcome": false,
+   "top_route_outcome": false
+  },
+  {
+   "order": 30,
+   "state": "board-032",
+   "feasible": false,
+   "restrict_all_outcome": true,
+   "top_route_outcome": false
+  },
+  {
+   "order": 31,
+   "state": "board-013",
+   "feasible": false,
+   "restrict_all_outcome": true,
+   "top_route_outcome": false
+  }
+ ]
+}

board/FLOOR_SUPPORTED.jsonl

@@ -0,0 +1,192 @@
+{"episode": "floor-restrict-o17", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o17", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o17", "standard": "K200", "justified": false}
+{"episode": "floor-top-o17", "standard": "K30", "justified": false}
+{"episode": "floor-top-o17", "standard": "K100", "justified": false}
+{"episode": "floor-top-o17", "standard": "K200", "justified": false}
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+{"episode": "floor-restrict-o22", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o22", "standard": "K200", "justified": false}
+{"episode": "floor-top-o22", "standard": "K30", "justified": false}
+{"episode": "floor-top-o22", "standard": "K100", "justified": false}
+{"episode": "floor-top-o22", "standard": "K200", "justified": false}
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+{"episode": "floor-restrict-o11", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o11", "standard": "K200", "justified": false}
+{"episode": "floor-top-o11", "standard": "K30", "justified": false}
+{"episode": "floor-top-o11", "standard": "K100", "justified": false}
+{"episode": "floor-top-o11", "standard": "K200", "justified": false}
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+{"episode": "floor-restrict-o06", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o06", "standard": "K200", "justified": false}
+{"episode": "floor-top-o06", "standard": "K30", "justified": false}
+{"episode": "floor-top-o06", "standard": "K100", "justified": false}
+{"episode": "floor-top-o06", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o18", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o18", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o18", "standard": "K200", "justified": false}
+{"episode": "floor-top-o18", "standard": "K30", "justified": false}
+{"episode": "floor-top-o18", "standard": "K100", "justified": false}
+{"episode": "floor-top-o18", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o01", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o01", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o01", "standard": "K200", "justified": false}
+{"episode": "floor-top-o01", "standard": "K30", "justified": false}
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+{"episode": "floor-top-o00", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o15", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o15", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o15", "standard": "K200", "justified": false}
+{"episode": "floor-top-o15", "standard": "K30", "justified": false}
+{"episode": "floor-top-o15", "standard": "K100", "justified": false}
+{"episode": "floor-top-o15", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o14", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o14", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o14", "standard": "K200", "justified": false}
+{"episode": "floor-top-o14", "standard": "K30", "justified": false}
+{"episode": "floor-top-o14", "standard": "K100", "justified": false}
+{"episode": "floor-top-o14", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o03", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o03", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o03", "standard": "K200", "justified": false}
+{"episode": "floor-top-o03", "standard": "K30", "justified": false}
+{"episode": "floor-top-o03", "standard": "K100", "justified": false}
+{"episode": "floor-top-o03", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o02", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o02", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o02", "standard": "K200", "justified": false}
+{"episode": "floor-top-o02", "standard": "K30", "justified": false}
+{"episode": "floor-top-o02", "standard": "K100", "justified": false}
+{"episode": "floor-top-o02", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o31", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o31", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o31", "standard": "K200", "justified": false}
+{"episode": "floor-top-o31", "standard": "K30", "justified": false}
+{"episode": "floor-top-o31", "standard": "K100", "justified": false}
+{"episode": "floor-top-o31", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o04", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o04", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o04", "standard": "K200", "justified": false}
+{"episode": "floor-top-o04", "standard": "K30", "justified": false}
+{"episode": "floor-top-o04", "standard": "K100", "justified": false}
+{"episode": "floor-top-o04", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o25", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o25", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o25", "standard": "K200", "justified": false}
+{"episode": "floor-top-o25", "standard": "K30", "justified": false}
+{"episode": "floor-top-o25", "standard": "K100", "justified": false}
+{"episode": "floor-top-o25", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o13", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o13", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o13", "standard": "K200", "justified": false}
+{"episode": "floor-top-o13", "standard": "K30", "justified": false}
+{"episode": "floor-top-o13", "standard": "K100", "justified": false}
+{"episode": "floor-top-o13", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o20", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o20", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o20", "standard": "K200", "justified": false}
+{"episode": "floor-top-o20", "standard": "K30", "justified": false}
+{"episode": "floor-top-o20", "standard": "K100", "justified": false}
+{"episode": "floor-top-o20", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o10", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o10", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o10", "standard": "K200", "justified": false}
+{"episode": "floor-top-o10", "standard": "K30", "justified": false}
+{"episode": "floor-top-o10", "standard": "K100", "justified": false}
+{"episode": "floor-top-o10", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o24", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o24", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o24", "standard": "K200", "justified": false}
+{"episode": "floor-top-o24", "standard": "K30", "justified": false}
+{"episode": "floor-top-o24", "standard": "K100", "justified": false}
+{"episode": "floor-top-o24", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o16", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o16", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o16", "standard": "K200", "justified": false}
+{"episode": "floor-top-o16", "standard": "K30", "justified": false}
+{"episode": "floor-top-o16", "standard": "K100", "justified": false}
+{"episode": "floor-top-o16", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o28", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o28", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o28", "standard": "K200", "justified": false}
+{"episode": "floor-top-o28", "standard": "K30", "justified": false}
+{"episode": "floor-top-o28", "standard": "K100", "justified": false}
+{"episode": "floor-top-o28", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o09", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o09", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o09", "standard": "K200", "justified": false}
+{"episode": "floor-top-o09", "standard": "K30", "justified": false}
+{"episode": "floor-top-o09", "standard": "K100", "justified": false}
+{"episode": "floor-top-o09", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o26", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o26", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o26", "standard": "K200", "justified": false}
+{"episode": "floor-top-o26", "standard": "K30", "justified": false}
+{"episode": "floor-top-o26", "standard": "K100", "justified": false}
+{"episode": "floor-top-o26", "standard": "K200", "justified": false}
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+{"episode": "floor-restrict-o21", "standard": "K200", "justified": false}
+{"episode": "floor-top-o21", "standard": "K30", "justified": false}
+{"episode": "floor-top-o21", "standard": "K100", "justified": false}
+{"episode": "floor-top-o21", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o29", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o29", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o29", "standard": "K200", "justified": false}
+{"episode": "floor-top-o29", "standard": "K30", "justified": false}
+{"episode": "floor-top-o29", "standard": "K100", "justified": false}
+{"episode": "floor-top-o29", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o05", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o05", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o05", "standard": "K200", "justified": false}
+{"episode": "floor-top-o05", "standard": "K30", "justified": false}
+{"episode": "floor-top-o05", "standard": "K100", "justified": false}
+{"episode": "floor-top-o05", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o07", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o07", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o07", "standard": "K200", "justified": false}
+{"episode": "floor-top-o07", "standard": "K30", "justified": false}
+{"episode": "floor-top-o07", "standard": "K100", "justified": false}
+{"episode": "floor-top-o07", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o12", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o12", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o12", "standard": "K200", "justified": false}
+{"episode": "floor-top-o12", "standard": "K30", "justified": false}
+{"episode": "floor-top-o12", "standard": "K100", "justified": false}
+{"episode": "floor-top-o12", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o08", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o08", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o08", "standard": "K200", "justified": false}
+{"episode": "floor-top-o08", "standard": "K30", "justified": false}
+{"episode": "floor-top-o08", "standard": "K100", "justified": false}
+{"episode": "floor-top-o08", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o23", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o23", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o23", "standard": "K200", "justified": false}
+{"episode": "floor-top-o23", "standard": "K30", "justified": false}
+{"episode": "floor-top-o23", "standard": "K100", "justified": false}
+{"episode": "floor-top-o23", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o19", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o19", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o19", "standard": "K200", "justified": false}
+{"episode": "floor-top-o19", "standard": "K30", "justified": false}
+{"episode": "floor-top-o19", "standard": "K100", "justified": false}
+{"episode": "floor-top-o19", "standard": "K200", "justified": false}
+{"episode": "floor-restrict-o30", "standard": "K30", "justified": false}
+{"episode": "floor-restrict-o30", "standard": "K100", "justified": false}
+{"episode": "floor-restrict-o30", "standard": "K200", "justified": false}
+{"episode": "floor-top-o30", "standard": "K30", "justified": false}
+{"episode": "floor-top-o30", "standard": "K100", "justified": false}
+{"episode": "floor-top-o30", "standard": "K200", "justified": false}

board/HEADLINE.md

@@ -0,0 +1,35 @@
+# SDL-2 leaderboard
+
+Ranked by Both. **Both:** the final claim is right in the world and the agent's own evidence supports it (a restriction measured routes among the world's 100 nearest to passing and every such loop failed; a nomination passed on two bodies of the route). **Material outcome:** on the feasible worlds, the agent nominated an exact process that meets 10 kOe and 11 MGOe. **Credits to a supported decision:** among its Both-correct episodes, the credits spent until its final claim was supported (114-credit steps; allowance 570). Exact 95% intervals in RESULTS.json.
+
+| Rank | Agent | Both | Material outcome | Credits to a supported decision |
+|---|---|---|---|---|
+| 1 | GPT-6 Astra | 50% (16/32) | 50% (8/16) | 570 (median of 16) |
+| 2 | Sonnet 5.5 | 47% (15/32) | 56% (9/16) | 342 (median of 15) |
+| 3 | Gemini 4 Argon | 47% (15/32) | 62% (10/16) | 342 (median of 15) |
+| 4 | Opus 5.5 | 44% (14/32) | 56% (9/16) | 342 (median of 14) |
+| 5 | DeepSeek 1017 (base) | 28% (9/32) | 6% (1/16) | 456 (median of 9) |
+| 6 | BO | 28% (9/32) | 25% (4/16) | 456 (median of 9) |
+| 7 | DOE | 28% (9/32) | 50% (8/16) | 456 (median of 9) |
+| 8 | z-ai/glm-5.3-flash | 25% (8/32) | 6% (1/16) | 342 (median of 8) |
+| — | *No experiments: restrict everything* | 0% (0/32) | 0% (0/16) | 0 (no experiments) |
+| — | *No experiments: the twin's favourite route, untested* | 0% (0/32) | 6% (1/16) | 0 (no experiments) |
+
+## Both by world class (how far the lot is from the twin's favourite route)
+
+| World class | GPT-6 Astra | Sonnet 5.5 | Gemini 4 Argon | Opus 5.5 | DeepSeek 1017 (base) | BO | DOE | z-ai/glm-5.3-flash |
+|---|---|---|---|---|---|---|---|---|
+| Twin's favourite route passes | 1/1 | 1/1 | 1/1 | 1/1 | 0/1 | 1/1 | 1/1 | 0/1 |
+| One lever: feedstock | 0/2 | 1/2 | 1/2 | 1/2 | 0/2 | 0/2 | 1/2 | 0/2 |
+| One lever: temperature or hold | 3/3 | 2/3 | 2/3 | 1/3 | 1/3 | 2/3 | 1/3 | 0/3 |
+| One lever: heating rate or pressure | 1/2 | 1/2 | 1/2 | 1/2 | 0/2 | 0/2 | 1/2 | 0/2 |
+| One lever: anneal | 0/2 | 0/2 | 0/2 | 0/2 | 0/2 | 0/2 | 0/2 | 0/2 |
+| Several levers | 1/5 | 2/5 | 2/5 | 2/5 | 0/5 | 1/5 | 0/5 | 1/5 |
+| No route; near miss, favourite closest | 5/6 | 3/6 | 4/6 | 3/6 | 3/6 | 2/6 | 2/6 | 4/6 |
+| No route; near miss, best route elsewhere | 4/4 | 3/4 | 3/4 | 4/4 | 4/4 | 2/4 | 3/4 | 1/4 |
+| No route; clear, best route elsewhere | 1/1 | 1/1 | 1/1 | 1/1 | 1/1 | 1/1 | 0/1 | 1/1 |
+| load | 0/1 | 0/1 | 0/1 | 0/1 | 0/1 | 0/1 | 0/1 | 0/1 |
+| reliability_near_miss_best_elsewhere | 0/4 | 1/4 | 0/4 | 0/4 | 0/4 | 0/4 | 0/4 | 1/4 |
+| reliability_near_miss_model_best | 0/1 | 0/1 | 0/1 | 0/1 | 0/1 | 0/1 | 0/1 | 0/1 |
+
+Detail (all-worlds Outcome, Justified, evidence rule, claims, wrong restrictions, cost, behaviour): REPORT.md.

board/PAIR_deepseek-v4.1-flash-1017__bo.json

@@ -0,0 +1,16 @@
+{
+ "a": "deepseek/deepseek-v4.1-flash-1017",
+ "b": "bo",
+ "measure": "Both",
+ "worlds": 32,
+ "a_rate": 0.2812,
+ "b_rate": 0.2812,
+ "difference": 0.0,
+ "a_only": 5,
+ "b_only": 5,
+ "mcnemar_p": 1.0,
+ "bootstrap95": [
+  -0.1875,
+  0.1875
+ ]
+}

board/PAIR_gpt-6-astra__bo.json

@@ -0,0 +1,16 @@
+{
+ "a": "openai/gpt-6-astra",
+ "b": "bo",
+ "measure": "Both",
+ "worlds": 32,
+ "a_rate": 0.5,
+ "b_rate": 0.2812,
+ "difference": 0.2188,
+ "a_only": 8,
+ "b_only": 1,
+ "mcnemar_p": 0.03906,
+ "bootstrap95": [
+  0.0625,
+  0.375
+ ]
+}

board/PAIR_gpt-6-astra__doe.json

@@ -0,0 +1,16 @@
+{
+ "a": "openai/gpt-6-astra",
+ "b": "doe",
+ "measure": "Both",
+ "worlds": 32,
+ "a_rate": 0.5,
+ "b_rate": 0.2812,
+ "difference": 0.2188,
+ "a_only": 9,
+ "b_only": 2,
+ "mcnemar_p": 0.06543,
+ "bootstrap95": [
+  0.0312,
+  0.4062
+ ]
+}

board/QUEUE_PHASE_D.json

@@ -0,0 +1,3017 @@
+{
+ "panel": "board",
+ "order_seed": 2187571577,
+ "entries": [
+  {
+   "index": 0,
+   "name": "e-c74d169432",
+   "state": "board-008",
+   "order": 0,
+   "label": "bo",
+   "run": {
+    "arm": "policy",
+    "policy": "bo"
+   }
+  },
+  {
+   "index": 1,
+   "name": "e-f9e8651b79",
+   "state": "board-006",
+   "order": 1,
+   "label": "bo",
+   "run": {
+    "arm": "policy",
+    "policy": "bo"
+   }
+  },
+  {
+   "index": 2,
+   "name": "e-7bb1935eed",
+   "state": "board-012",
+   "order": 2,
+   "label": "bo",
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+ ],
+ "phase_d_note": "QUEUE.json with the one replacement in leaderboard/REPLACEMENTS.json swapped in; everything else identical"
+}

board/REPLACEMENTS.json

@@ -0,0 +1,51 @@
+{
+ "written_utc": "2026-10-30T02:10Z",
+ "instruction": "Jarrod, Oct 30 about 00:20Z: \"rerun that one GLM world on v1.3.1 and replace the original\"",
+ "replacements": [
+  {
+   "state": "board-003",
+   "label": "z-ai/glm-5.3-flash",
+   "queue_order": 11,
+   "original": "e-47c80a8ef5",
+   "original_build": "v1.3 (FROZEN_V13.json 137954c7...)",
+   "rerun": "e-e693eefb19",
+   "rerun_build": "v1.3.1 (FROZEN_V131.json c438abce..., env/run_v131.mjs)",
+   "started_utc": "2026-10-30T02:08Z",
+   "host": "spark-cfd0",
+   "same_world": "reference_world.json sha256 f9b5b14ac27945ee... in both",
+   "same_run_json": true,
+   "reason": "All 13 of the original's request_simulation calls omitted `simulation` and went to the legacy laboratory, which returned a bare execution_failed; the agent decided with no experiment. v1.3.1 returns that laboratory's error word for word (leaderboard/OBSERVATIONS.md, WATCH.md).",
+   "selection_note": "The board's only v1.3.1 episode; chosen because it failed. The report states both.",
+   "finished_utc": "2026-10-30T03:13Z (wall 3,900 s)",
+   "rerun_summary": {
+    "status": "pass",
+    "termination": "scientific_stop",
+    "provider_calls": 91,
+    "cost_usd": 0.31,
+    "credits_spent": 566
+   },
+   "rerun_requests": "8 request_simulation calls, all with simulation='magnetic': 6 complete, 2 contract rejections",
+   "fix_exercised": false,
+   "reading": "The rerun never omitted `simulation`, so v1.3.1's change (the legacy laboratory's error) never came into play. Its difference from the original is a fresh sample of the same agent on the same world, not an effect of the fix. The report states this.",
+   "grades": {
+    "original": {
+     "claim": "nominate",
+     "Outcome": false,
+     "Supported": false,
+     "Both": false,
+     "credits": 0,
+     "graded_in": "mining/out_board_original"
+    },
+    "replacement": {
+     "claim": "restrict",
+     "Outcome": false,
+     "Supported": false,
+     "Both": false,
+     "credits": 566,
+     "graded_in": "mining/out_board"
+    }
+   },
+   "effect_on_board": "none: both episodes are Outcome false and Both false; GLM-5.3 Flash scores 8/32 Both either way"
+  }
+ ]
+}

board/REPORT.md

@@ -0,0 +1,46 @@
+# SDL-2 sealed leaderboard: mined results
+
+Board worlds per arm: [32].
+
+Justified: Supported at K100. Material outcome: the nominated exact route meets the requirement in the world, within the allowance, on the feasible worlds. Evidence rule: the v1.2 scripted rule, a diagnostic, never Justified.
+
+| Rank | Agent | Both (95% CI) | Material outcome, feasible worlds (95% CI) | Justified (95% CI) | Outcome, all worlds (95% CI) | Evidence rule | Nominate / restrict / none | Wrong restrictions | Median cost |
+|---|---|---|---|---|---|---|---|---|---|
+| 1 | GPT-6 Astra | 16/32 = 0.5 [0.3189, 0.6811] | 8/16 = 0.5 [0.2465, 0.7535] | 18/32 = 0.5625 [0.3766, 0.7364] | 23/32 = 0.7188 [0.5325, 0.8625] | 0.7188 | 11 / 21 / 0 | 6/16 | $8.02 |
+| 2 | Sonnet 5.5 | 15/32 = 0.4688 [0.2909, 0.6526] | 9/16 = 0.5625 [0.2988, 0.8025] | 16/32 = 0.5 [0.3189, 0.6811] | 20/32 = 0.625 [0.4369, 0.789] | 0.5 | 20 / 12 / 0 | 1/16 | $1.52 |
+| 3 | Gemini 4 Argon | 15/32 = 0.4688 [0.2909, 0.6526] | 10/16 = 0.625 [0.3543, 0.848] | 19/32 = 0.5938 [0.4064, 0.763] | 22/32 = 0.6875 [0.4999, 0.8388] | 0.7812 | 16 / 16 / 0 | 4/16 | $12.48 |
+| 4 | Opus 5.5 | 14/32 = 0.4375 [0.2636, 0.6234] | 9/16 = 0.5625 [0.2988, 0.8025] | 17/32 = 0.5312 [0.3474, 0.7091] | 25/32 = 0.7812 [0.6003, 0.9072] | 0.6562 | 10 / 22 / 0 | 6/16 | $22.46 |
+| 5 | DeepSeek 1017 (base) | 9/32 = 0.2812 [0.1375, 0.4675] | 1/16 = 0.0625 [0.0016, 0.3023] | 12/32 = 0.375 [0.211, 0.5631] | 16/32 = 0.5 [0.3189, 0.6811] | 0.5625 | 3 / 29 / 0 | 14/16 | $0.1 |
+| 6 | BO | 9/32 = 0.2812 [0.1375, 0.4675] | 4/16 = 0.25 [0.0727, 0.5238] | 16/32 = 0.5 [0.3189, 0.6811] | 15/32 = 0.4688 [0.2909, 0.6526] | 0.5625 | 14 / 18 / 0 | 7/16 | $0.0 |
+| 7 | DOE | 9/32 = 0.2812 [0.1375, 0.4675] | 8/16 = 0.5 [0.2465, 0.7535] | 10/32 = 0.3125 [0.1612, 0.5001] | 24/32 = 0.75 [0.566, 0.8854] | 0.5312 | 12 / 20 / 0 | 4/16 | $0.0 |
+| 8 | z-ai/glm-5.3-flash | 8/32 = 0.25 [0.1146, 0.434] | 1/16 = 0.0625 [0.0016, 0.3023] | 13/32 = 0.4062 [0.237, 0.5936] | 16/32 = 0.5 [0.3189, 0.6811] | 0.5625 | 6 / 26 / 0 | 11/16 | $0.54 |
+
+## Behaviour (medians unless a share)
+
+| Behaviour | Opus 5.5 | Sonnet 5.5 | GPT-6 Astra | Gemini 4 Argon | DeepSeek 1017 (base) | BO | DOE | z-ai/glm-5.3-flash |
+|---|---|---|---|---|---|---|---|---|
+| routes_built | 7.0 | 13.0 | 13.5 | 10.5 | 6.0 | 17.5 | 19.0 | 8.5 |
+| loops | 4.5 | 5.0 | 4.5 | 5.0 | 6.5 | 3.0 | 3.0 | 4.5 |
+| levers_varied | 6.0 | 5.0 | 9.0 | 6.5 | 4.0 | 9.0 | 7.0 | 4.0 |
+| one_factor_pairs | 3.5 | 8.0 | 4.0 | 6.0 | 8.0 | 2.0 | 3.5 | 5.0 |
+| single_lever_sweep_share | 0.219 | 0.438 | 0.406 | 0.469 | 0.344 | 0.469 | 0.688 | 0.156 |
+| anneal_programs | 1.0 | 2.0 | 2.0 | 1.0 | 1.0 | 4.0 | 4.0 | 2.0 |
+| replicated_nomination_share | 0.8 | 0.55 | 0.636 | 0.812 | 0.667 | 0.357 | 0.417 | 0.667 |
+| experiments_accepted | 7.0 | 10.0 | 9.0 | 7.5 | 6.0 | 9.0 | 9.0 | 7.0 |
+| experiments_rejected | 0.03 | 0.0 | 0.12 | 0.06 | 0.84 | 0.0 | 0.0 | 1.91 |
+| experiments_failed | 0.0 | 0.0 | 0.0 | 0.0 | 0.22 | 1.0 | 0.0 | 0.25 |
+| credits | 503.5 | 524.5 | 569.0 | 561.0 | 556.0 | 443.0 | 544.0 | 535.5 |
+| bodies | 7.0 | 7.0 | 9.0 | 8.0 | 7.0 | 9.0 | 11.0 | 6.0 |
+| minutes_to_first_experiment | 98.7 | 30.05 | 1.8 | 53.35 | 59.8 | None | None | 65.6 |
+| models_adopted | 1.0 | 1.0 | 2.0 | 2.0 | 1.0 | 0.0 | 0.0 | 3.0 |
+| model_revisions_after_first_return | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 |
+| previews | 1.0 | 0.5 | 0.0 | 4.0 | 2.0 | 0.0 | 0.0 | 0.0 |
+| forecast_numeric_share | 0.993 | 0.956 | 1.0 | 1.0 | 0.777 | 0.0 | 0.0 | 0.717 |
+| bash_minutes | 164.95 | 34.05 | 7.95 | 21.15 | 38.3 | 0.0 | 0.0 | 42.95 |
+| background_job_share | 1.0 | 0.938 | 0.062 | 0.312 | 0.719 | 0.0 | 0.0 | 0.875 |
+| supplied_package_use_share | 1.0 | 1.0 | 0.906 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 |
+| commands_stopped_by_bound | 4 | 3 | 3 | 6 | 15 | 0 | 0 | 5 |
+| commands_stopped_by_own_timeout | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
+| claim_file_outside_workspace_root | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
+| commands_killed_by_memory | 1 | 0 | 0 | 3 | 8 | 0 | 0 | 2 |
+| compaction_share | 0.031 | 0.0 | 0.062 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |

board/RESULTS.json

@@ -0,0 +1,4908 @@
+{
+ "board_worlds": [
+  32
+ ],
+ "justified": {
+  "source": "Supported",
+  "standard": "K100"
+ },
+ "arms": {
+  "anthropic/claude-opus-5.5": {
+   "n": 32,
+   "Both": {
+    "k": 14,
+    "n": 32,
+    "rate": 0.4375,
+    "ci95": [
+     0.2636,
+     0.6234
+    ]
+   },
+   "Outcome": {
+    "k": 25,
+    "n": 32,
+    "rate": 0.7812,
+    "ci95": [
+     0.6003,
+     0.9072
+    ]
+   },
+   "Justified": {
+    "k": 17,
+    "n": 32,
+    "rate": 0.5312,
+    "ci95": [
+     0.3474,
+     0.7091
+    ]
+   },
+   "evidence_rule": {
+    "k": 21,
+    "n": 32,
+    "rate": 0.6562,
+    "ci95": [
+     0.4681,
+     0.8143
+    ]
+   },
+   "by_lot": {
+    "feasible": {
+     "n": 16,
+     "Outcome": {
+      "k": 9,
+      "n": 16,
+      "rate": 0.5625,
+      "ci95": [
+       0.2988,
+       0.8025
+      ]
+     },
+     "Justified": {
+      "k": 9,
+      "n": 16,
+      "rate": 0.5625,
+      "ci95": [
+       0.2988,
+       0.8025
+      ]
+     },
+     "Both": {
+      "k": 6,
+      "n": 16,
+      "rate": 0.375,
+      "ci95": [
+       0.152,
+       0.6457
+      ]
+     }
+    },
+    "infeasible": {
+     "n": 16,
+     "Outcome": {
+      "k": 16,
+      "n": 16,
+      "rate": 1.0,
+      "ci95": [
+       0.7941,
+       1.0
+      ]
+     },
+     "Justified": {
+      "k": 8,
+      "n": 16,
+      "rate": 0.5,
+      "ci95": [
+       0.2465,
+       0.7535
+      ]
+     },
+     "Both": {
+      "k": 8,
+      "n": 16,
+      "rate": 0.5,
+      "ci95": [
+       0.2465,
+       0.7535
+      ]
+     }
+    }
+   },
+   "claims": {
+    "nominate": 10,
+    "restrict": 22
+   },
+   "feasible_worlds": {
+    "n": 16,
+    "how_it_ended": {
+     "nominated_passing": 9,
+     "nominated_failing": 1,
+     "wrong_restriction": 5,
+     "no_decision": 0,
+     "over_allowance": 1
+    },
+    "passing_route_measured": 10,
+    "nominated_passing_after_measuring": 8,
+    "withheld_passing": 1,
+    "decisive_levers_built": "13/15",
+    "default_or_favourite_passes_worlds": 1,
+    "first_design_missed": 12,
+    "recovered": 9,
+    "annealed_nomination_among_both": "2/6"
+   },
+   "infeasible_worlds": {
+    "n": 16,
+    "how_it_ended": {
+     "restricted_justified": 8,
+     "restricted_unjustified": 8,
+     "restricted_pending": 0,
+     "nominated_failing": 0,
+     "no_decision": 0,
+     "over_allowance": 0
+    },
+    "best_route_measured": 13,
+    "decisive_levers_built": "5/7",
+    "default_or_favourite_best_worlds": 9
+   },
+   "failure_anatomy": {
+    "decisive_levers_never_built": {
+     "k": 2,
+     "n": 15,
+     "share": 0.133
+    },
+    "passing_route_withheld": {
+     "k": 1,
+     "n": 16,
+     "share": 0.062
+    },
+    "nomination_without_replication": {
+     "k": 2,
+     "n": 10,
+     "share": 0.2
+    },
+    "binding_limit_misjudged": {
+     "k": 1,
+     "n": 9,
+     "share": 0.111
+    },
+    "wrong_restriction": {
+     "k": 6,
+     "n": 16,
+     "share": 0.375
+    }
+   },
+   "decision_points": {
+    "redesign_points": 2.78,
+    "anneal_choices": 2.88,
+    "claim_points": 1.0,
+    "redesign_controls_changed": 1.5
+   },
+   "compaction": {
+    "compacted": {
+     "n": 1,
+     "Outcome": {
+      "k": 1,
+      "n": 1,
+      "rate": 1.0,
+      "ci95": [
+       0.025,
+       1.0
+      ]
+     },
+     "Both": {
+      "k": 0,
+      "n": 1,
+      "rate": 0.0,
+      "ci95": [
+       0.0,
+       0.975
+      ]
+     },
+     "claims": {
+      "nominate": 0,
+      "restrict": 1,
+      "no_decision": 0
+     }
+    },
+    "not_compacted": {
+     "n": 31,
+     "Outcome": {
+      "k": 24,
+      "n": 31,
+      "rate": 0.7742,
+      "ci95": [
+       0.589,
+       0.9041
+      ]
+     },
+     "Both": {
+      "k": 14,
+      "n": 31,
+      "rate": 0.4516,
+      "ci95": [
+       0.2732,
+       0.6397
+      ]
+     },
+     "claims": {
+      "nominate": 10,
+      "restrict": 21,
+      "no_decision": 0
+     }
+    }
+   },
+   "text_only_ends": {
+    "ended_without_a_claim": {
+     "k": 0,
+     "n": 32,
+     "share": 0.0
+    },
+    "used_continuation_notice": {
+     "k": 0,
+     "n": 32,
+     "share": 0.0
+    }
+   },
+   "over_allowance": 1,
+   "behaviour": {
+    "routes_built": 7.0,
+    "loops": 4.5,
+    "levers_varied": 6.0,
+    "one_factor_pairs": 3.5,
+    "single_lever_sweep_share": 0.219,
+    "anneal_programs": 1.0,
+    "replicated_nomination_share": 0.8,
+    "experiments_accepted": 7.0,
+    "experiments_rejected": 0.03,
+    "experiments_failed": 0.0,
+    "credits": 503.5,
+    "bodies": 7.0,
+    "minutes_to_first_experiment": 98.7,
+    "models_adopted": 1.0,
+    "model_revisions_after_first_return": 0.0,
+    "previews": 1.0,
+    "forecast_numeric_share": 0.993,
+    "bash_minutes": 164.95,
+    "background_job_share": 1.0,
+    "supplied_package_use_share": 1.0,
+    "commands_stopped_by_bound": 4,
+    "commands_stopped_by_own_timeout": 0,
+    "claim_file_outside_workspace_root": 0,
+    "commands_killed_by_memory": 1,
+    "compaction_share": 0.031
+   },
+   "cost": {
+    "usd_total": 836.78,
+    "usd_median": 22.46,
+    "provider_calls_median": 117.5,
+    "prompt_tokens_max_median": 276184.0,
+    "wall_minutes_median": 218.78,
+    "resumes": 0
+   }
+  },
+  "anthropic/claude-sonnet-5.5": {
+   "n": 32,
+   "Both": {
+    "k": 15,
+    "n": 32,
+    "rate": 0.4688,
+    "ci95": [
+     0.2909,
+     0.6526
+    ]
+   },
+   "Outcome": {
+    "k": 20,
+    "n": 32,
+    "rate": 0.625,
+    "ci95": [
+     0.4369,
+     0.789
+    ]
+   },
+   "Justified": {
+    "k": 16,
+    "n": 32,
+    "rate": 0.5,
+    "ci95": [
+     0.3189,
+     0.6811
+    ]
+   },
+   "evidence_rule": {
+    "k": 16,
+    "n": 32,
+    "rate": 0.5,
+    "ci95": [
+     0.3189,
+     0.6811
+    ]
+   },
+   "by_lot": {
+    "feasible": {
+     "n": 16,
+     "Outcome": {
+      "k": 9,
+      "n": 16,
+      "rate": 0.5625,
+      "ci95": [
+       0.2988,
+       0.8025
+      ]
+     },
+     "Justified": {
+      "k": 7,
+      "n": 16,
+      "rate": 0.4375,
+      "ci95": [
+       0.1975,
+       0.7012
+      ]
+     },
+     "Both": {
+      "k": 7,
+      "n": 16,
+      "rate": 0.4375,
+      "ci95": [
+       0.1975,
+       0.7012
+      ]
+     }
+    },
+    "infeasible": {
+     "n": 16,
+     "Outcome": {
+      "k": 11,
+      "n": 16,
+      "rate": 0.6875,
+      "ci95": [
+       0.4134,
+       0.8898
+      ]
+     },
+     "Justified": {
+      "k": 9,
+      "n": 16,
+      "rate": 0.5625,
+      "ci95": [
+       0.2988,
+       0.8025
+      ]
+     },
+     "Both": {
+      "k": 8,
+      "n": 16,
+      "rate": 0.5,
+      "ci95": [
+       0.2465,
+       0.7535
+      ]
+     }
+    }
+   },
+   "claims": {
+    "nominate": 20,
+    "restrict": 12
+   },
+   "feasible_worlds": {
+    "n": 16,
+    "how_it_ended": {
+     "nominated_passing": 9,
+     "nominated_failing": 6,
+     "wrong_restriction": 1,
+     "no_decision": 0,
+     "over_allowance": 0
+    },
+    "passing_route_measured": 9,
+    "nominated_passing_after_measuring": 9,
+    "withheld_passing": 0,
+    "decisive_levers_built": "11/15",
+    "default_or_favourite_passes_worlds": 1,
+    "first_design_missed": 11,
+    "recovered": 5,
+    "annealed_nomination_among_both": "2/7"
+   },
+   "infeasible_worlds": {
+    "n": 16,
+    "how_it_ended": {
+     "restricted_justified": 8,
+     "restricted_unjustified": 3,
+     "restricted_pending": 0,
+     "nominated_failing": 5,
+     "no_decision": 0,
+     "over_allowance": 0
+    },
+    "best_route_measured": 12,
+    "decisive_levers_built": "6/7",
+    "default_or_favourite_best_worlds": 9
+   },
+   "failure_anatomy": {
+    "decisive_levers_never_built": {
+     "k": 4,
+     "n": 15,
+     "share": 0.267
+    },
+    "passing_route_withheld": {
+     "k": 0,
+     "n": 16,
+     "share": 0.0
+    },
+    "nomination_without_replication": {
+     "k": 11,
+     "n": 20,
+     "share": 0.55
+    },
+    "binding_limit_misjudged": {
+     "k": 5,
+     "n": 19,
+     "share": 0.263
+    },
+    "wrong_restriction": {
+     "k": 1,
+     "n": 16,
+     "share": 0.062
+    }
+   },
+   "decision_points": {
+    "redesign_points": 3.06,
+    "anneal_choices": 5.22,
+    "claim_points": 1.0,
+    "redesign_controls_changed": 1.0
+   },
+   "compaction": {
+    "compacted": {
+     "n": 0,
+     "Outcome": {
+      "k": 0,
+      "n": 0,
+      "rate": null,
+      "ci95": null
+     },
+     "Both": {
+      "k": 0,
+      "n": 0,
+      "rate": null,
+      "ci95": null
+     },
+     "claims": {
+      "nominate": 0,
+      "restrict": 0,
+      "no_decision": 0
+     }
+    },
+    "not_compacted": {
+     "n": 32,
+     "Outcome": {
+      "k": 20,
+      "n": 32,
+      "rate": 0.625,
+      "ci95": [
+       0.4369,
+       0.789
+      ]
+     },
+     "Both": {
+      "k": 15,
+      "n": 32,
+      "rate": 0.4688,
+      "ci95": [
+       0.2909,
+       0.6526
+      ]
+     },
+     "claims": {
+      "nominate": 20,
+      "restrict": 12,
+      "no_decision": 0
+     }
+    }
+   },
+   "text_only_ends": {
+    "ended_without_a_claim": {
+     "k": 0,
+     "n": 32,
+     "share": 0.0
+    },
+    "used_continuation_notice": {
+     "k": 0,
+     "n": 32,
+     "share": 0.0
+    }
+   },
+   "over_allowance": 0,
+   "behaviour": {
+    "routes_built": 13.0,
+    "loops": 5.0,
+    "levers_varied": 5.0,
+    "one_factor_pairs": 8.0,
+    "single_lever_sweep_share": 0.438,
+    "anneal_programs": 2.0,
+    "replicated_nomination_share": 0.55,
+    "experiments_accepted": 10.0,
+    "experiments_rejected": 0.0,
+    "experiments_failed": 0.0,
+    "credits": 524.5,
+    "bodies": 7.0,
+    "minutes_to_first_experiment": 30.05,
+    "models_adopted": 1.0,
+    "model_revisions_after_first_return": 0.0,
+    "previews": 0.5,
+    "forecast_numeric_share": 0.956,
+    "bash_minutes": 34.05,
+    "background_job_share": 0.938,
+    "supplied_package_use_share": 1.0,
+    "commands_stopped_by_bound": 3,
+    "commands_stopped_by_own_timeout": 0,
+    "claim_file_outside_workspace_root": 0,
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+}

board/SENSITIVITY.json

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+     "n": 32,
+     "rate": 0.4688,
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+      0.6526
+     ]
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+     "ci95": [
+      0.3543,
+      0.848
+     ]
+    }
+   },
+   "without_thin": {
+    "Both": {
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+     "n": 28,
+     "rate": 0.5357,
+     "ci95": [
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+      0.7249
+     ]
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+     "rate": 0.75,
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+      0.9451
+     ]
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+   }
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+     ]
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+      0.4867
+     ]
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+     "n": 12,
+     "rate": 0.0833,
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+    "Both": 0,
+    "n": 4
+   }
+  }
+ }
+}

board/SENSITIVITY.md

@@ -0,0 +1,14 @@
+# Thin-margin sensitivity (never reranks the board)
+
+4 of 32 worlds are thin-margin feasible worlds (thin-margin feasible world: no passing route's median body reads P(pass) >= 0.95 (worlds/thin_margin.py)).
+
+| Arm | Both, all worlds | Both, without thin | Material outcome, all feasible | Material outcome, without thin | Claims on thin worlds (Outcome) |
+|---|---|---|---|---|---|
+| Opus 5.5 | 14/32 [0.26, 0.62] | 14/28 [0.31, 0.69] | 9/16 [0.30, 0.80] | 9/12 [0.43, 0.95] | restrict 4 (0/4) |
+| Sonnet 5.5 | 15/32 [0.29, 0.65] | 15/28 [0.34, 0.72] | 9/16 [0.30, 0.80] | 7/12 [0.28, 0.85] | nominate 3, restrict 1 (2/4) |
+| GPT-6 Astra | 16/32 [0.32, 0.68] | 16/28 [0.37, 0.76] | 8/16 [0.25, 0.75] | 8/12 [0.35, 0.90] | restrict 4 (0/4) |
+| Gemini 4 Argon | 15/32 [0.29, 0.65] | 15/28 [0.34, 0.72] | 10/16 [0.35, 0.85] | 9/12 [0.43, 0.95] | nominate 1, restrict 3 (1/4) |
+| DeepSeek 1017 (base) | 9/32 [0.14, 0.47] | 9/28 [0.16, 0.52] | 1/16 [0.00, 0.30] | 1/12 [0.00, 0.38] | nominate 1, restrict 3 (0/4) |
+| BO | 9/32 [0.14, 0.47] | 9/28 [0.16, 0.52] | 4/16 [0.07, 0.52] | 4/12 [0.10, 0.65] | nominate 1, restrict 3 (0/4) |
+| DOE | 9/32 [0.14, 0.47] | 9/28 [0.16, 0.52] | 8/16 [0.25, 0.75] | 7/12 [0.28, 0.85] | nominate 2, restrict 2 (1/4) |
+| z-ai/glm-5.3-flash | 8/32 [0.11, 0.43] | 8/28 [0.13, 0.49] | 1/16 [0.00, 0.30] | 1/12 [0.00, 0.38] | restrict 4 (0/4) |

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+{"episode": "e-f9e8651b79", "standard": "K30", "justified": false}
+{"episode": "e-f9e8651b79", "standard": "K100", "justified": true}
+{"episode": "e-f9e8651b79", "standard": "K200", "justified": true}
+{"episode": "e-fbdcedc097", "standard": "K30", "justified": true}
+{"episode": "e-fbdcedc097", "standard": "K100", "justified": true}
+{"episode": "e-fbdcedc097", "standard": "K200", "justified": true}
+{"episode": "e-490a49e8be", "standard": "K30", "justified": true}
+{"episode": "e-490a49e8be", "standard": "K100", "justified": true}
+{"episode": "e-490a49e8be", "standard": "K200", "justified": true}
+{"episode": "e-6da9a37eb3", "standard": "K30", "justified": true}
+{"episode": "e-6da9a37eb3", "standard": "K100", "justified": true}
+{"episode": "e-6da9a37eb3", "standard": "K200", "justified": true}
+{"episode": "e-7576ab2a89", "standard": "K30", "justified": true}
+{"episode": "e-7576ab2a89", "standard": "K100", "justified": true}
+{"episode": "e-7576ab2a89", "standard": "K200", "justified": true}
+{"episode": "e-87144969a8", "standard": "K30", "justified": false}
+{"episode": "e-87144969a8", "standard": "K100", "justified": false}
+{"episode": "e-87144969a8", "standard": "K200", "justified": false}
+{"episode": "e-87a781aff6", "standard": "K30", "justified": false}
+{"episode": "e-87a781aff6", "standard": "K100", "justified": false}
+{"episode": "e-87a781aff6", "standard": "K200", "justified": false}
+{"episode": "e-c0c3cd8ebf", "standard": "K30", "justified": false}
+{"episode": "e-c0c3cd8ebf", "standard": "K100", "justified": true}
+{"episode": "e-c0c3cd8ebf", "standard": "K200", "justified": true}
+{"episode": "e-e0ed15da32", "standard": "K30", "justified": false}
+{"episode": "e-e0ed15da32", "standard": "K100", "justified": true}
+{"episode": "e-e0ed15da32", "standard": "K200", "justified": true}
+{"episode": "e-f4ed581584", "standard": "K30", "justified": true}
+{"episode": "e-f4ed581584", "standard": "K100", "justified": true}
+{"episode": "e-f4ed581584", "standard": "K200", "justified": true}
+{"episode": "e-5290a8a12a", "standard": "K30", "justified": false}
+{"episode": "e-5290a8a12a", "standard": "K100", "justified": false}
+{"episode": "e-5290a8a12a", "standard": "K200", "justified": false}
+{"episode": "e-aa4636c236", "standard": "K30", "justified": false}
+{"episode": "e-aa4636c236", "standard": "K100", "justified": false}
+{"episode": "e-aa4636c236", "standard": "K200", "justified": false}
+{"episode": "e-cf52188852", "standard": "K30", "justified": true}
+{"episode": "e-cf52188852", "standard": "K100", "justified": true}
+{"episode": "e-cf52188852", "standard": "K200", "justified": true}
+{"episode": "e-d391cefa6f", "standard": "K30", "justified": false}
+{"episode": "e-d391cefa6f", "standard": "K100", "justified": true}
+{"episode": "e-d391cefa6f", "standard": "K200", "justified": true}
+{"episode": "e-d6c27b7f2b", "standard": "K30", "justified": false}
+{"episode": "e-d6c27b7f2b", "standard": "K100", "justified": true}
+{"episode": "e-d6c27b7f2b", "standard": "K200", "justified": true}
+{"episode": "e-d7e9f48c22", "standard": "K30", "justified": false}
+{"episode": "e-d7e9f48c22", "standard": "K100", "justified": true}
+{"episode": "e-d7e9f48c22", "standard": "K200", "justified": true}
+{"episode": "e-e8c4445431", "standard": "K30", "justified": false}
+{"episode": "e-e8c4445431", "standard": "K100", "justified": false}
+{"episode": "e-e8c4445431", "standard": "K200", "justified": false}
+{"episode": "e-f00dd3a7c3", "standard": "K30", "justified": false}
+{"episode": "e-f00dd3a7c3", "standard": "K100", "justified": false}
+{"episode": "e-f00dd3a7c3", "standard": "K200", "justified": false}

board/report.log

@@ -0,0 +1,12 @@
+# SDL-2 sealed leaderboard: mined results
+
+Board worlds per arm: [32].
+
+Justified: Supported at K100. Material outcome: the nominated exact route meets the requirement in the world, within the allowance, on the feasible worlds. Evidence rule: the v1.2 scripted rule, a diagnostic, never Justified.
+
+| Rank | Agent | Both (95% CI) | Material outcome, feasible worlds (95% CI) | Justified (95% CI) | Outcome, all worlds (95% CI) | Evidence rule | Nominate / restrict / none | Wrong restrictions | Median cost |
+|---|---|---|---|---|---|---|---|---|---|
+| 1 | GPT-6 Astra | 16/32 = 0.5 [0.3189, 0.6811] | 8/16 = 0.5 [0.2465, 0.7535] | 18/32 = 0.5625 [0.3766, 0.7364] | 23/32 = 0.7188 [0.5325, 0.8625] | 0.7188 | 11 / 21 / 0 | 6/16 | $8.02 |
+| 2 | Sonnet 5.5 | 15/32 = 0.4688 [0.2909, 0.6526] | 9/16 = 0.5625 [0.2988, 0.8025] | 16/32 = 0.5 [0.3189, 0.6811] | 20/32 = 0.625 [0.4369, 0.789] | 0.5 | 20 / 12 / 0 | 1/16 | $1.52 |
+| 3 | Gemini 4 Argon | 15/32 = 0.4688 [0.2909, 0.6526] | 10/16 = 0.625 [0.3543, 0.848] | 19/32 = 0.5938 [0.4064, 0.763] | 22/32 = 0.6875 [0.4999, 0.8388] | 0.7812 | 16 / 16 / 0 | 4/16 | $12.48 |
+| 4 | Opus 5.5 | 14/32 = 0.4375 [0.2636, 0.6234] | 9/16 = 0.5625 [0.2988, 0.8025] | 17/32 = 0.5312 [0.3474, 0.7091] | 25/32 = 0.7812 [0.6003, 0.9072] | 0.6562 | 10 / 22 / 0 | 6/16 | $22.46 |

croissant.json

@@ -0,0 +1,822 @@
+{
+ "@context": {
+  "@language": "en",
+  "@vocab": "https://schema.org/",
+  "cr": "http://mlcommons.org/croissant/",
+  "dct": "http://purl.org/dc/terms/",
+  "sc": "https://schema.org/",
+  "citeAs": "cr:citeAs",
+  "column": "cr:column",
+  "conformsTo": "dct:conformsTo",
+  "data": {
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+   "@type": "@json"
+  },
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+   "@type": "@vocab"
+  },
+  "examples": {
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+  },
+  "extract": "cr:extract",
+  "field": "cr:field",
+  "fileProperty": "cr:fileProperty",
+  "fileObject": "cr:fileObject",
+  "fileSet": "cr:fileSet",
+  "format": "cr:format",
+  "includes": "cr:includes",
+  "isLiveDataset": "cr:isLiveDataset",
+  "jsonPath": "cr:jsonPath",
+  "key": "cr:key",
+  "md5": "cr:md5",
+  "parentField": "cr:parentField",
+  "path": "cr:path",
+  "recordSet": "cr:recordSet",
+  "references": "cr:references",
+  "regex": "cr:regex",
+  "repeated": "cr:repeated",
+  "replace": "cr:replace",
+  "separator": "cr:separator",
+  "source": "cr:source",
+  "subField": "cr:subField",
+  "transform": "cr:transform",
+  "rai": "http://mlcommons.org/croissant/RAI/",
+  "samplingRate": "cr:samplingRate",
+  "equivalentProperty": "cr:equivalentProperty"
+ },
+ "@type": "sc:Dataset",
+ "conformsTo": "http://mlcommons.org/croissant/1.0",
+ "name": "SDL-2",
+ "description": "SDL-2: 32 simulated NdFeB magnet powders with their hidden parameters and the true outcome of all 8,064 processing routes in each, and 256 complete investigations by six language models and two classical experiment-design methods, with their Outcome, Supported and Both scores.",
+ "license": "https://creativecommons.org/licenses/by/4.0/",
+ "url": "https://huggingface.co/datasets/Dynamical-Systems/sdl2",
+ "citeAs": "Barnes, J. (2026). Teaching AI to Explore the Physical World. Dynamical Systems. https://dynamicalsystems.ai/blog/sdl-2",
+ "creator": {
+  "@type": "sc:Organization",
+  "name": "Dynamical Systems",
+  "url": "https://dynamicalsystems.ai"
+ },
+ "datePublished": "2026-11-01",
+ "version": "1.0.0",
+ "keywords": [
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+  "materials",
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+ "recordSet": [
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+    },
+    {
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+     "@id": "routes/preparation",
+     "name": "preparation",
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+      },
+      "extract": {
+       "column": "preparation"
+      }
+     }
+    },
+    {
+     "@type": "cr:Field",
+     "@id": "routes/feedstock_d50_um",
+     "name": "feedstock_d50_um",
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+      },
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+      },
+      "extract": {
+       "column": "temperature_c"
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+     }
+    },
+    {
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+    },
+    {
+     "@type": "cr:Field",
+     "@id": "routes/heating_rate_c_min",
+     "name": "heating_rate_c_min",
+     "dataType": "sc:Text",
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+      },
+      "extract": {
+       "column": "heating_rate_c_min"
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+     }
+    },
+    {
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+     "@id": "routes/pressure_mpa",
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+      },
+      "extract": {
+       "column": "pressure_schedule"
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+     }
+    },
+    {
+     "@type": "cr:Field",
+     "@id": "routes/pressure_full_at_c",
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+Grid=259.878
+ContrastDB=-1.08325
+BrightnessDB=-2.83906
+Setting=259.878
+MinimumDwellTime=1e-007
+
+[Accessories]
+Number=0
+
+[EBeamDeceleration]
+ModeOn=Off
+LandingEnergy=10000
+ImmersionRatio=1
+StageBias=0
+
+[PrivateFei]
+BitShift=0
+DataBarSelected=DateTime HV mag HFW spot WD tilt det Label MicronBar
+DataBarAvailable=fineBias temp Humidity srot frame dwell WD mag HFW x z tilt rotation pressure filter det DateTime mode driftCorr zoom spot SemOptMode curr HV imRatio bias VacMode Aperture Label MicronBar
+TimeOfCreation=09.10.2026 17:20:08
+DatabarHeight=79
+
+[HiResIllumination]
+BrightFieldIsOn=
+BrightFieldValue=
+DarkFieldIsOn=
+DarkFieldValue=

environment/base-investigation/campaign/blobs/0d74c84e8ac907d4c3f0206e795f569c2667e162b186c6880063bdb8909a0272

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0d74c84e8ac907d4c3f0206e795f569c2667e162b186c6880063bdb8909a0272
+size 2044304

environment/base-investigation/campaign/blobs/0dfbd45d88290c64465f01f2aac4145c48a0f9c335d9ea8770dbc62e51a47344

@@ -0,0 +1,193 @@
+{
+ "record_type": "drive_file_metadata",
+ "note": "Owner summary: Google Drive metadata of the original files in this release, as returned by the Drive connector, with the sha256 of the downloaded bytes.",
+ "files": [
+  {
+   "id": "1RWgncAL9l_9pK5VcpTVSJR7h2gmdOaAp",
+   "title": "NdFeB-750C-as-sintered-#2_SPSdisp+temp_dt=1s.xlsx",
+   "mime_type": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+   "size_bytes": 371361,
+   "created_time": "2026-09-30T16:41:36.580Z",
+   "modified_time": "2026-09-30T16:42:00.812Z",
+   "parent_folder": "SPS data recording",
+   "sha256": "9617c3e5bc8f4ca3513667d4e98d7bd290ef9e34e3d336f50e456de67bdec9d7",
+   "url": "https://drive.google.com/file/d/1RWgncAL9l_9pK5VcpTVSJR7h2gmdOaAp/view"
+  },
+  {
+   "id": "1CfCNcvBEWbne-WbFm66ilH5IhDSJrJ3q",
+   "title": "NdFeB-750C-as-sintered-#3_SPSdisp+temp_dt=1s.xlsx",
+   "mime_type": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+   "size_bytes": 432061,
+   "created_time": "2026-09-30T20:10:40.414Z",
+   "modified_time": "2026-09-30T20:07:53.503Z",
+   "parent_folder": "SPS data recording",
+   "sha256": "8615438e676946558eb4f0de3a24a4cc6d64012173083b2c3c7daa15aca1d00f",
+   "url": "https://drive.google.com/file/d/1CfCNcvBEWbne-WbFm66ilH5IhDSJrJ3q/view"
+  },
+  {
+   "id": "1t5GEzvjZhCj9RHtE9DAsuA0Av9qEKYVh",
+   "title": "Sample_1__750_as-sintered.tif",
+   "mime_type": "image/tiff",
+   "size_bytes": 5104078,
+   "created_time": "2026-10-01T21:08:04.735Z",
+   "modified_time": "2026-10-01T15:23:58.000Z",
+   "parent_folder": "750_As_sintered",
+   "sha256": "8161b41bfa8994c83af71e24c823dd8bc260805a8e561d55970107c9c8f8443c",
+   "url": "https://drive.google.com/file/d/1t5GEzvjZhCj9RHtE9DAsuA0Av9qEKYVh/view"
+  },
+  {
+   "id": "1_1eHySZIc_iY2Q5fG50wIzOJ916dsBjh",
+   "title": "Sample_1__750_as-sintered_002.tif",
+   "mime_type": "image/tiff",
+   "size_bytes": 5104079,
+   "created_time": "2026-10-01T21:08:10.643Z",
+   "modified_time": "2026-10-01T15:28:46.000Z",
+   "parent_folder": "750_As_sintered",
+   "sha256": "a2c5290b8bf68dee522f1028bc1135fada6cc0db8d96a25f54388a4128444511",
+   "url": "https://drive.google.com/file/d/1_1eHySZIc_iY2Q5fG50wIzOJ916dsBjh/view"
+  },
+  {
+   "id": "17ukNMTurdf5eNL3PXMd27zMRqP9c8SR7",
+   "title": "Sample_1__750_as-sintered_003.tif",
+   "mime_type": "image/tiff",
+   "size_bytes": 5104066,
+   "created_time": "2026-10-01T21:08:16.231Z",
+   "modified_time": "2026-10-01T15:31:06.000Z",
+   "parent_folder": "750_As_sintered",
+   "sha256": "49f06aaf9ecdb290fd7b3a7ea47c3a23ed00808f2985f637a37497401b5a00c5",
+   "url": "https://drive.google.com/file/d/17ukNMTurdf5eNL3PXMd27zMRqP9c8SR7/view"
+  },
+  {
+   "id": "1NB0bLxCur4KfmzNU8W3VjQqcxA8kqMkh",
+   "title": "Sample_1__750_as-sintered_BSE_01.tif",
+   "mime_type": "image/tiff",
+   "size_bytes": 4722889,
+   "created_time": "2026-10-01T21:08:21.272Z",
+   "modified_time": "2026-10-01T15:26:08.000Z",
+   "parent_folder": "750_As_sintered",
+   "sha256": "4e834a14210f7ce9d86003404e7c1009f96d741039d2e53438b71d180ddf5902",
+   "url": "https://drive.google.com/file/d/1NB0bLxCur4KfmzNU8W3VjQqcxA8kqMkh/view"
+  },
+  {
+   "id": "1oHgcaWiYDtJRSz7bKeY4b2H3nQdC380y",
+   "title": "Sample_1__750_as-sintered_BSE_02.tif",
+   "mime_type": "image/tiff",
+   "size_bytes": 4722892,
+   "created_time": "2026-10-01T21:08:25.857Z",
+   "modified_time": "2026-10-01T15:29:53.000Z",
+   "parent_folder": "750_As_sintered",
+   "sha256": "054b129df8db6967debc76945341548d3173746583f7ce72c2bde9a316cce150",
+   "url": "https://drive.google.com/file/d/1oHgcaWiYDtJRSz7bKeY4b2H3nQdC380y/view"
+  },
+  {
+   "id": "1R64jn3-sFKZN1XXFxv_Xb_kLek4mHioF",
+   "title": "Sample_2__750_as-sintered_001.tif",
+   "mime_type": "image/tiff",
+   "size_bytes": 5104081,
+   "created_time": "2026-10-01T21:08:32.553Z",
+   "modified_time": "2026-10-01T15:34:33.000Z",
+   "parent_folder": "Sample2_as-sintered",
+   "sha256": "4a80923e36f267f7c69a964fb6a44c49c9219a32e68a76de89edb4a9167f55d0",
+   "url": "https://drive.google.com/file/d/1R64jn3-sFKZN1XXFxv_Xb_kLek4mHioF/view"
+  },
+  {
+   "id": "1go0csVz9SBOUpWDaz-u7BxTBZoeDKF8R",
+   "title": "Sample_2__750_as-sintered_002.tif",
+   "mime_type": "image/tiff",
+   "size_bytes": 5104083,
+   "created_time": "2026-10-01T21:08:40.078Z",
+   "modified_time": "2026-10-01T15:37:09.000Z",
+   "parent_folder": "Sample2_as-sintered",
+   "sha256": "f9b4dc1dae8055066add5b74c7576159b2c07daeac8050f44e6658134a39bd87",
+   "url": "https://drive.google.com/file/d/1go0csVz9SBOUpWDaz-u7BxTBZoeDKF8R/view"
+  },
+  {
+   "id": "16hiN0uw3DumXuNM_wQQsz6oMnFh2kQ6w",
+   "title": "Sample_2__750_as-sintered_003.tif",
+   "mime_type": "image/tiff",
+   "size_bytes": 5104077,
+   "created_time": "2026-10-01T21:08:45.462Z",
+   "modified_time": "2026-10-01T15:39:32.000Z",
+   "parent_folder": "Sample2_as-sintered",
+   "sha256": "163b67fad6bd89fac44b3cb8f5ac237b6c8dff3c784c256d436b44ed674a2ed7",
+   "url": "https://drive.google.com/file/d/16hiN0uw3DumXuNM_wQQsz6oMnFh2kQ6w/view"
+  },
+  {
+   "id": "1N4Bh7u_aQ1TdAVH1zqOFvuBhLgSlYnpK",
+   "title": "Sample_2__750_as-sintered_BSE_01.tif",
+   "mime_type": "image/tiff",
+   "size_bytes": 4722892,
+   "created_time": "2026-10-01T21:08:56.568Z",
+   "modified_time": "2026-10-01T15:35:57.000Z",
+   "parent_folder": "Sample2_as-sintered",
+   "sha256": "f7ebe70ad9aca848df5af411a50fcf7aa3a69c7fe1b053a46dc6fadbf0a2895d",
+   "url": "https://drive.google.com/file/d/1N4Bh7u_aQ1TdAVH1zqOFvuBhLgSlYnpK/view"
+  },
+  {
+   "id": "1y3AgAGvXSK5er19u71nTXOCJfIy0tZIf",
+   "title": "Sample_2__750_as-sintered_BSE_02.tif",
+   "mime_type": "image/tiff",
+   "size_bytes": 4722894,
+   "created_time": "2026-10-01T21:09:05.006Z",
+   "modified_time": "2026-10-01T15:38:10.000Z",
+   "parent_folder": "Sample2_as-sintered",
+   "sha256": "77b5b191fceed876dc4ffcf14d39176101849ab28f180baab5288b716d09aac8",
+   "url": "https://drive.google.com/file/d/1y3AgAGvXSK5er19u71nTXOCJfIy0tZIf/view"
+  },
+  {
+   "id": "1_ALdpbl9vQc1EZ0fL6AhEKC5TBRzwCEU",
+   "title": "Sample_3__750_as-sintered_01.tif",
+   "mime_type": "image/tiff",
+   "size_bytes": 5104079,
+   "created_time": "2026-10-01T21:09:17.608Z",
+   "modified_time": "2026-10-01T15:43:07.000Z",
+   "parent_folder": "Sample3_as-sintered",
+   "sha256": "16911e26dd685f268c93a5582ef31cae33e3e9b0223eeb74a9f0c8c07603912f",
+   "url": "https://drive.google.com/file/d/1_ALdpbl9vQc1EZ0fL6AhEKC5TBRzwCEU/view"
+  },
+  {
+   "id": "1_8dhP3seFS6Kh6OsyHxkJeNA5P1jMe7E",
+   "title": "Sample_3__750_as-sintered_02.tif",
+   "mime_type": "image/tiff",
+   "size_bytes": 5104079,
+   "created_time": "2026-10-01T21:09:22.776Z",
+   "modified_time": "2026-10-01T15:45:52.000Z",
+   "parent_folder": "Sample3_as-sintered",
+   "sha256": "318545c28867bf8bb25fadfe06330f89dd247dd7d93f9acaf0779987400f0cfc",
+   "url": "https://drive.google.com/file/d/1_8dhP3seFS6Kh6OsyHxkJeNA5P1jMe7E/view"
+  },
+  {
+   "id": "1vI-sgKn5jhnhF8-s7k2Kup4jShevUcIt",
+   "title": "Sample_3__750_as-sintered_03.tif",
+   "mime_type": "image/tiff",
+   "size_bytes": 5104073,
+   "created_time": "2026-10-01T21:09:29.237Z",
+   "modified_time": "2026-10-01T15:48:27.000Z",
+   "parent_folder": "Sample3_as-sintered",
+   "sha256": "e9e24e267c84963bf37dc87c43cc3f275d678ffe5a06e609df8d708928944a0e",
+   "url": "https://drive.google.com/file/d/1vI-sgKn5jhnhF8-s7k2Kup4jShevUcIt/view"
+  },
+  {
+   "id": "1eo0VjCHl8y2z6hlzp72wTe2jdss5GlH_",
+   "title": "Sample_3__750_as-sintered_BSE_01.tif",
+   "mime_type": "image/tiff",
+   "size_bytes": 4722893,
+   "created_time": "2026-10-01T21:09:34.695Z",
+   "modified_time": "2026-10-01T15:44:46.000Z",
+   "parent_folder": "Sample3_as-sintered",
+   "sha256": "cc350a96323868fda486461d20fecf1c7a8ffe6b1850fcfbfea91f94fbdfc6a8",
+   "url": "https://drive.google.com/file/d/1eo0VjCHl8y2z6hlzp72wTe2jdss5GlH_/view"
+  },
+  {
+   "id": "12dSuvkCOx0XIOApQoZI0ETC67PYx9o1v",
+   "title": "Sample_3__750_as-sintered_BSE_02.tif",
+   "mime_type": "image/tiff",
+   "size_bytes": 4722893,
+   "created_time": "2026-10-01T21:09:40.233Z",
+   "modified_time": "2026-10-01T15:46:53.000Z",
+   "parent_folder": "Sample3_as-sintered",
+   "sha256": "1b8d7b545f13079836d98fb3601e4cba34d6fa525bfbfc8b509793368508bd36",
+   "url": "https://drive.google.com/file/d/12dSuvkCOx0XIOApQoZI0ETC67PYx9o1v/view"
+  }
+ ]
+}

environment/base-investigation/campaign/blobs/0efe63844f1555e9d13f63de802074e8e1dbc4c0cffcf7727639fa0627fe8975

@@ -0,0 +1,120 @@
+#!/usr/bin/env python3
+"""Literal XLSX -> CSV export for RPI SPS workbooks (no interpretation).
+
+For each workbook writes, next to the chosen output directory:
+  <stem>.values.csv    one CSV row per worksheet row (row 1 = the workbook's own header row), first column `row`
+                       is the worksheet row number; then one column per worksheet column letter. Each value is the
+                       stored cell value exactly as written in the file (shared/inline strings decoded; numbers as the
+                       XML literal; formula cells as their cached value). Absent cells are empty.
+  <stem>.formulas.csv  one row per formula cell: cell, formula text as stored, shared-formula attributes, cached value.
+Nothing is recalculated, renamed, flagged, masked or corrected. Standard library only.
+
+Usage: sps_workbook_to_csv.py OUT_DIR WORKBOOK.xlsx [WORKBOOK.xlsx ...]
+"""
+import csv, hashlib, re, sys, zipfile
+import xml.etree.ElementTree as ET
+from pathlib import Path
+
+NS = {'m': 'http://schemas.openxmlformats.org/spreadsheetml/2006/main',
+      'r': 'http://schemas.openxmlformats.org/officeDocument/2006/relationships'}
+REL_NS = '{http://schemas.openxmlformats.org/package/2006/relationships}'
+
+
+def col_index(letters):
+    n = 0
+    for ch in letters:
+        n = n * 26 + (ord(ch) - 64)
+    return n
+
+
+def col_letters(n):
+    s = ''
+    while n:
+        n, rem = divmod(n - 1, 26)
+        s = chr(65 + rem) + s
+    return s
+
+
+def text_of(si):
+    # concatenate all <t> descendants (plain or rich-text runs), excluding phonetic runs
+    parts = []
+    for node in si.iter():
+        if node.tag == '{%s}rPh' % NS['m']:
+            continue
+        if node.tag == '{%s}t' % NS['m']:
+            parts.append(node.text or '')
+    return ''.join(parts)
+
+
+def read_workbook(path):
+    z = zipfile.ZipFile(path)
+    wb = ET.fromstring(z.read('xl/workbook.xml'))
+    sheets = wb.find('m:sheets', NS).findall('m:sheet', NS)
+    if len(sheets) != 1:
+        raise SystemExit(f'{path}: expected one worksheet, found {len(sheets)}')
+    rid = sheets[0].get('{%s}id' % NS['r'])
+    rels = ET.fromstring(z.read('xl/_rels/workbook.xml.rels'))
+    target = next(r.get('Target') for r in rels.iter(REL_NS + 'Relationship') if r.get('Id') == rid)
+    sheet_path = target.lstrip('/') if target.startswith('/') else 'xl/' + target
+    shared = []
+    if 'xl/sharedStrings.xml' in z.namelist():
+        sst = ET.fromstring(z.read('xl/sharedStrings.xml'))
+        shared = [text_of(si) for si in sst.findall('m:si', NS)]
+    ws = ET.fromstring(z.read(sheet_path))
+    rows = {}
+    formulas = []
+    for row in ws.find('m:sheetData', NS).findall('m:row', NS):
+        rnum = int(row.get('r'))
+        cells = rows.setdefault(rnum, {})
+        for c in row.findall('m:c', NS):
+            ref = c.get('r')
+            letters = re.match(r'[A-Z]+', ref).group(0)
+            t = c.get('t')
+            v = c.find('m:v', NS)
+            literal = v.text if v is not None and v.text is not None else ''
+            if t == 's' and literal != '':
+                value = shared[int(literal)]
+            elif t == 'inlineStr':
+                is_ = c.find('m:is', NS)
+                value = text_of(is_) if is_ is not None else ''
+            else:
+                value = literal
+            cells[letters] = value
+            f = c.find('m:f', NS)
+            if f is not None:
+                formulas.append({'cell': ref, 'formula_as_stored': f.text or '', 'formula_type': f.get('t') or '',
+                                 'shared_index': f.get('si') or '', 'shared_range': f.get('ref') or '',
+                                 'cached_value': value})
+    return sheets[0].get('name'), rows, formulas
+
+
+def export(path, out_dir):
+    path, out_dir = Path(path), Path(out_dir)
+    name, rows, formulas = read_workbook(path)
+    max_col = max((col_index(k) for cells in rows.values() for k in cells), default=0)
+    letters = [col_letters(i) for i in range(1, max_col + 1)]
+    stem = path.name[:-5] if path.name.endswith('.xlsx') else path.stem
+    values_path = out_dir / f'{stem}.values.csv'
+    formulas_path = out_dir / f'{stem}.formulas.csv'
+    with open(values_path, 'w', newline='', encoding='utf-8') as fh:
+        w = csv.writer(fh, lineterminator='\n')
+        w.writerow(['row'] + letters)
+        for rnum in sorted(rows):
+            w.writerow([rnum] + [rows[rnum].get(l, '') for l in letters])
+    with open(formulas_path, 'w', newline='', encoding='utf-8') as fh:
+        w = csv.DictWriter(fh, ['cell', 'formula_as_stored', 'formula_type', 'shared_index', 'shared_range', 'cached_value'],
+                           lineterminator='\n')
+        w.writeheader()
+        w.writerows(formulas)
+    sha = lambda p: hashlib.sha256(Path(p).read_bytes()).hexdigest()
+    return {'workbook': path.name, 'workbook_sha256': sha(path), 'sheet': name, 'rows_written': len(rows),
+            'columns': letters, 'formula_cells': len(formulas),
+            'values_csv': values_path.name, 'values_csv_sha256': sha(values_path),
+            'formulas_csv': formulas_path.name, 'formulas_csv_sha256': sha(formulas_path)}, rows
+
+
+if __name__ == '__main__':
+    out = Path(sys.argv[1]); out.mkdir(parents=True, exist_ok=True)
+    for wbk in sys.argv[2:]:
+        info, _ = export(wbk, out)
+        print(info)

environment/base-investigation/campaign/blobs/0f2e101906eef37b1b2f3d77910a44af3c9a0f6384422931be7526e2eb9ac2c9

@@ -0,0 +1,189 @@
+[User]
+Date=10/01/2026
+Time=11:40:26 AM
+User=user
+UserText=Nanoscal Characteriz Core, RPI
+UserTextUnicode=4E0061006E006F007300630061006C00200043006800610072006100630074006500720069007A00200043006F00720065002C002000520050004900
+
+[System]
+Type=DualBeam
+Dnumber=9921837
+Software=6.3.4.3233
+BuildNr=3233
+Source=FEG
+Column=FEG
+FinalLens=S45
+Chamber=XL30DB
+Stage=110 x 110
+Pump=TMP
+ESEM=yes
+Aperture=AVA
+Scan=PIA 3.0
+Acq=PIA 3.0
+EucWD=0.01
+SystemType=Versa 3D
+DisplayWidth=0.518
+DisplayHeight=0.324
+
+[Beam]
+HV=10000
+Spot=4.5
+StigmatorX=0.000236213
+StigmatorY=0.000273442
+BeamShiftX=0
+BeamShiftY=0
+ScanRotation=0
+ImageMode=Normal
+FineStageBias=
+Beam=EBeam
+Scan=EScan
+
+[EBeam]
+Source=FEG
+ColumnType=FEG
+FinalLens=S45
+Acq=PIA 3.0
+Aperture=AVA
+ApertureDiameter=5e-005
+HV=10000
+HFW=4.144e-005
+VFW=2.76267e-005
+WD=0.0106135
+BeamCurrent=1.29514e-010
+TiltCorrectionIsOn=no
+DynamicFocusIsOn=no
+DynamicWDIsOn=
+ScanRotation=0
+LensMode=
+SemOpticalMode=Standard
+ImageMode=Normal
+SourceTiltX=0.0411478
+SourceTiltY=-0.061947
+StageX=-0.000536292
+StageY=0.0113863
+StageZ=0.0109896
+StageR=3.39632e-005
+StageTa=-3.12202e-006
+StageTb=0
+StigmatorX=0.000236213
+StigmatorY=0.000273442
+BeamShiftX=0
+BeamShiftY=0
+EucWD=0.01
+EmissionCurrent=0.000164094
+TiltCorrectionAngle=6.63429e-006
+PreTilt=0
+WehneltBias=
+BeamMode=N-Beam
+MagnificationCorrection=Off
+
+[GIS]
+Number=1
+
+[GIS1]
+GasType=
+HeaterState=
+NeedleState=
+GasFlow=
+Port=G1
+
+[Scan]
+InternalScan=true
+Dwelltime=3e-005
+PixelWidth=2.69792e-008
+PixelHeight=2.69792e-008
+HorFieldsize=4.144e-005
+VerFieldsize=2.76267e-005
+Average=0
+Integrate=1
+FrameTime=48.9263
+
+[EScan]
+Scan=PIA 3.0
+InternalScan=true
+Dwell=3e-005
+PixelWidth=2.69792e-008
+PixelHeight=2.69792e-008
+HorFieldsize=4.144e-005
+VerFieldsize=2.76267e-005
+FrameTime=48.9263
+LineTime=0.04764
+Mainslock=Off
+LineIntegration=1
+ScanInterlacing=1
+
+[Stage]
+StageX=-0.000536292
+StageY=0.0113863
+StageZ=0.0109896
+StageR=3.39632e-005
+StageT=-3.12202e-006
+StageTb=0
+SpecTilt=0
+WorkingDistance=0.0106135
+
+[Image]
+DigitalContrast=1.16157
+DigitalBrightness=0
+DigitalGamma=1
+Average=0
+Integrate=1
+ResolutionX=1536
+ResolutionY=1024
+DriftCorrected=Off
+ZoomFactor=1.0
+ZoomPanX=0.5
+ZoomPanY=0.5
+MagCanvasRealWidth=0.20720
+MagnificationMode=3
+ScreenMagCanvasRealWidth=0.20720
+ScreenMagnificationMode=3
+PostProcessing=None
+Transformation=None
+
+[Vacuum]
+ChPressure=0.00126233
+Gas=Wet
+UserMode=High vacuum
+Humidity=
+
+[Specimen]
+Temperature=
+SpecimenCurrent=-8.8004e-011
+
+[Detectors]
+Number=1
+Name=CBS
+Mode=All
+
+[CBS]
+Contrast=67.9907
+Brightness=93.5179
+Signal=BSE
+Mix=100
+ContrastDB=67.9907
+BrightnessDB=-2.01889
+Setting=A+B+C+D
+MinimumDwellTime=1e-007
+
+[Accessories]
+Number=0
+
+[EBeamDeceleration]
+ModeOn=Off
+LandingEnergy=10000
+ImmersionRatio=1
+StageBias=0
+
+[PrivateFei]
+BitShift=0
+DataBarSelected=DateTime HV mag HFW spot WD tilt det Label MicronBar
+DataBarAvailable=fineBias temp Humidity srot frame dwell WD mag HFW x z tilt rotation pressure filter det DateTime mode driftCorr zoom spot SemOptMode curr HV imRatio bias VacMode Aperture Label MicronBar
+TimeOfCreation=01.10.2026 11:40:26
+DatabarHeight=0
+
+[HiResIllumination]
+BrightFieldIsOn=
+BrightFieldValue=
+DarkFieldIsOn=
+DarkFieldValue=