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This Hugging Face dataset is a lightweight mirror, not the source-code archive.
It supports inspection and validation of released reports, strict-JSON result
artifacts, schemas, provenance, and citation metadata.
## Local artifacts
- `results/move1/MOVE1_REPORT.md` — canonical fact-locked report;
- `results/move1/RESULT_layerA.md` — Norman and Tahoe Layer-A details;
- `results/move1/MOVE1_3TIER_RESULT.md` — scoped three-tier cost sweep;
- `results/move1/EXPERIMENT_SELECTION_RESULT.md` — goal-dependent result;
- `results/move1/RETIRED_ANALYSES.md` — removed claims and reasons;
- `results/move1/layerA_norman.json` and `layerA_tahoe.json` — strict JSON;
- `artifact_manifest.json` — HF-specific local artifact and source-link map.
## Strict JSON checks
```bash
python3 -m json.tool artifact_manifest.json >/dev/null
python3 -m json.tool schemas/artifact_manifest.schema.json >/dev/null
python3 -m json.tool schemas/layerA_norman.schema.json >/dev/null
python3 -m json.tool schemas/layerA_tahoe.schema.json >/dev/null
python3 -m json.tool results/move1/layerA_norman.json >/dev/null
python3 -m json.tool results/move1/layerA_tahoe.json >/dev/null
```
Reject non-standard JSON constants:
```bash
python3 -c 'import json,pathlib; [json.loads(p.read_text(), parse_constant=lambda x: (_ for _ in ()).throw(ValueError(x))) for p in map(pathlib.Path,["artifact_manifest.json","results/move1/layerA_norman.json","results/move1/layerA_tahoe.json"])]'
```
## JSON Schema checks
```bash
python3 -m pip install jsonschema
python3 - <<'PY'
import json
from pathlib import Path
from jsonschema import Draft202012Validator
pairs = [
("artifact_manifest.json", "schemas/artifact_manifest.schema.json"),
("results/move1/layerA_norman.json", "schemas/layerA_norman.schema.json"),
("results/move1/layerA_tahoe.json", "schemas/layerA_tahoe.schema.json"),
]
for instance_path, schema_path in pairs:
instance = json.loads(Path(instance_path).read_text())
schema = json.loads(Path(schema_path).read_text())
Draft202012Validator.check_schema(schema)
Draft202012Validator(schema).validate(instance)
print("schema validation OK")
PY
```
## Source-code reproduction
Analysis code is maintained in
[`jang1563/causalatlas`](https://github.com/jang1563/causalatlas):
- `eval/move1_layerA*.py`, `move1_gears_cv.py`, and
`move1_synergy_cv.py` for Layer A;
- `eval/move1_3tier_*.py` for the three-tier arm;
- `eval/move1_replogle_prep.py` and `move1_expsel*.py` for experiment
selection;
- `scripts/validate_public_release.py` for full path, link, identity, and
stale-claim validation.
The source repository requires upstream Norman, Replogle, GEARS, and Tahoe/Arc
inputs. This mirror does not support full reruns by itself.
## Evidence boundaries
- The Norman JSON contains the original split and threshold sweep; the held-out
CV regime summary is reported in `RESULT_layerA.md` and generated in the
source repository.
- Large CV predictions, LLM runs, and experiment-selection intermediates are
not mirrored.
- Exploratory competence/verification scripts remain source-repository
provenance only and do not support public claims.
## Mirror invariants
- no raw third-party data or large intermediate predictions;
- strict JSON and valid schemas;
- every local Markdown link resolves;
- one public identity, JangKeun Kim;
- final report and retired-analysis registry remain consistent.
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