| { |
| "schema_version": 1, |
| "scope": "Presentation of frozen evidence; no new experiments or statistical estimates", |
| "frozen_evidence": { |
| "reports/final-summary.json": "63cdd8c6f3a51a943041714d255cbd9c3d6711f25e028dc6cfd7042ff08ff066", |
| "reports/published-checkpoint-reload.json": "a89b2e65f465f97966de78d9107671c647b1b1b2546b4f39840d1f941cd0b86b", |
| "reports/publication.json": "f2e32a4379c4334ee33ca345e6167a21610ef3c0d13e17ed97c4dbe3a819bfd0" |
| }, |
| "inputs": { |
| "paper/report.md": "641733f78eeda30c311805a8571736649c2f51b61107458425ff4d30e6a940cb", |
| "paper/metadata.json": "78e7a30a2b15f7550a7e7f9fc001c3e395d83b844411e5f6fa380d0b3e21541b", |
| "paper/style.css": "be4ce64f842794b229e7b2a742b5a09d2218e320fbd8acaf8ef640ebf7cb6442", |
| "paper/build.py": "6f55036d9039fc24948d3c609275305d2ad32cfa55fe99f2d7b68e5fde9af06c", |
| "paper/pyproject.toml": "656c6a0eb0768df38ba263a0fdab9283cc7a95487fe485162ef5919b876e00ee", |
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| "paper/evidence.json": "e31ebb7384e80efd68f6ecdd5800f7cc8ff5821e3db74c21fa2e24e36c9ac33c" |
| }, |
| "outputs": { |
| "stackcraft-technical-report.pdf": { |
| "sha256": "5c59b9a42f70cc02ad8f6c18364b7093dca815d09118c39df4ae5639121deef0", |
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| "figures/outcomes.svg": { |
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| "bytes": 68942 |
| } |
| }, |
| "python": "3.13.16", |
| "versions": { |
| "matplotlib": "3.11.2", |
| "markdown-it-py": "4.2.0", |
| "weasyprint": "70.0", |
| "pypdf": "6.19.0" |
| }, |
| "pages": 7, |
| "pdf_text_checks": "passed", |
| "fonts": "DejaVu fonts from the locked Matplotlib distribution; embedded in PDF" |
| } |
|
|
