{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "gongzhiren-state-of-thought--check-bundled-results-against-records",
 "repo": "GongZhiren/State-of-Thought",
 "repo_url": "https://github.com/GongZhiren/State-of-Thought",
 "repo_slug": "gongzhiren-state-of-thought",
 "title": "Check published results against bundled records",
 "page_title": "How to check published results against bundled records with State of Thought",
 "summary": "Trace a reported metric back to its per-example records and manifest.",
 "who": "A reviewer, student, or agent writing a related-work section who needs to confirm which numbers the release actually supports.",
 "problem": "Summary tables are easy to quote without knowing which per-example records and configurations produced them.",
 "outcome": "A checked link from curated summaries to the bundled per-example records and the provenance manifest, plus a passing release gate.",
 "steps": [
  "Run `git clone https://github.com/GongZhiren/State-of-Thought.git`",
  "Run `cd State-of-Thought`",
  "Open `results/summaries/` and pick the backbone and dataset you want to cite",
  "Open `results/manifest.json` and find the matching record files",
  "Run `make check test`"
 ],
 "agent_prompt": "In the repo GongZhiren/State-of-Thought, open results/summaries/ and results/manifest.json, then find the record files that back the metric for <backbone and dataset>. Report the record file paths, the configuration named in the manifest, and whether make check test passes.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "15 minutes",
 "basis": "readme",
 "caveat": "The README says the bundled records are publication-aligned, so treat them as the release's own evidence and not as an independent re-run of the paper.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "python",
 "requirements": [
  "Python with pip and git installed",
  "A virtual environment for the install",
  "Hugging Face access for backbone weights, with license acceptance and hf auth login for gated models",
  "Enough disk space and GPU memory for the chosen backbone when running evaluation"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/gongzhiren-state-of-thought/check-bundled-results-against-records/",
 "md": "https://dedupedai.com/use-cases/gongzhiren-state-of-thought/check-bundled-results-against-records/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/gongzhiren-state-of-thought--check-bundled-results-against-records.json",
 "api_version": "v1"
}