{
 "schema_version": 1,
 "generated": "2026-10-26",
 "id": "foreverblue816-prismquant--audit-published-perplexity-claims",
 "repo": "ForeverBlue816/PrismQuant",
 "repo_url": "https://github.com/ForeverBlue816/PrismQuant",
 "repo_slug": "foreverblue816-prismquant",
 "title": "Trace the published WikiText-2 perplexity claim to its sources",
 "page_title": "How to trace the published WikiText-2 perplexity claim to its sources with Prism Quant",
 "summary": "Check the cited score against the paper, catalog revisions and evaluation metadata.",
 "who": "A researcher or reviewer who wants to verify a Prism Quant benchmark number before citing it or comparing against it.",
 "problem": "A badge and a ranking appear in the README, and the reader needs to know what the score covers and what it does not.",
 "outcome": "A short written note stating the cited score, the model and precision setting, the revisions used, and the limits of the comparison.",
 "steps": [
  "Open the paper at https://arxiv.org/abs/2609.32429 and locate the Llama-3.1-70B W4A4KV4 k=8 WikiText-2 result.",
  "Open docs/evaluation_metadata.md and note the evaluation settings listed there.",
  "Open prismquant/models.json and confirm the artifact and base model revisions it pins.",
  "Read docs/reproduction.md for the reproduction scope and any missing steps.",
  "Write a note that separates the published score from the indexed comparison set and from an independent replication."
 ],
 "agent_prompt": "Using the PrismQuant repo at https://github.com/ForeverBlue816/PrismQuant, read docs/evaluation_metadata.md, docs/reproduction.md and prismquant/models.json. Produce a note listing the Llama-3.1-70B WikiText-2 setting, the pinned revisions, and what the catalog does not verify.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "30 minutes",
 "basis": "readme",
 "caveat": "The README states that catalog verification is not an independent experimental replication, so the note must not treat the published score as independently reproduced.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "python",
 "requirements": [
  "Python 3.10 or newer",
  "A PyTorch installation that matches your CUDA version",
  "Internet access to clone the repo and download Hugging Face checkpoints",
  "Enough GPU or system memory for the chosen model size (see docs/models.md)"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.7,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/foreverblue816-prismquant/audit-published-perplexity-claims/",
 "md": "https://dedupedai.com/use-cases/foreverblue816-prismquant/audit-published-perplexity-claims/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/foreverblue816-prismquant--audit-published-perplexity-claims.json",
 "api_version": "v1"
}