gpt-2-report-paper-page#138
Conversation
…a first-class paper record]
…port explainer page]
…able through related reader journeys]
… GPT-2 report paper-page contract]
|
Mergeability follow-up: I rechecked PR conversation feedback and there are still no PR comments to address. The failing required |
|
Mergeability follow-up: the only remaining blocker was the stale required |
|
Mergeability follow-up: at |
|
Mergeability follow-up: GitHub would not accept a single-job rerun for the cancelled |
|
Mergeability follow-up: at 2026-06-21T19:50:06Z UTC the required |
|
Mergeability follow-up: at |
|
Mergeability follow-up: at |
|
Mergeability follow-up: GitHub accepted the cancellation and the workflow is now terminal. I reran the failed jobs for Actions run |
|
Mergeability follow-up: at |
|
Mergeability follow-up: at |
|
Mergeability follow-up: GitHub accepted the cancellation and the workflow is now back in progress on the same commit |
|
Mergeability follow-up: at |
|
Mergeability follow-up: GitHub accepted the cancellation and I reran the failed jobs for Actions run |
|
Mergeability follow-up: at |
|
Mergeability follow-up: at |
|
Mergeability follow-up: at |
|
Mergeability follow-up: at |
|
Mergeability follow-up: at |
|
Mergeability follow-up: at |
|
Mergeability follow-up: at |
…ough registry-backed search and focused validation]
|
Mergeability follow-up: I addressed the repeated stale required |
…ough registry-backed search and focused validation]
|
Mergeability follow-up: GitHub did not attach a new CI run to the current PR head after the push, so I am closing and reopening the PR to retrigger the |
…ough registry-backed search and focused validation]
|
Mergeability follow-up: GitHub had this PR marked |
|
Review summary for head Quality checks:
Project acceptance criteria:
User-story behavioral assertion check:
Docs-writing standards checklist:
Graphing standards checklist:
Review rules:
Final status: |
{
"project": "Model Atlas — GPT-2 Report Canonical Paper Page",
"branchName": "gpt-2-report-paper-page",
"description": "Publish one canonical English
gpt-2-reportpaper page, backed by registry data and localized messages, so readers can discover the publication that introduced the GPT-2 family, understand what the report introduced and why it mattered, and branch into the right architecture, tokenization, training, and scaling-adjacent pages.","context": {
"customerAsk": "Add the canonical English paper page for the
GPT-2 reportso the site can explain the publication that introduced the model family instead of only citing it from other pages. Keep the work narrow and page-local on currentmain. Scope: createsrc/content/docs/papers/gpt-2-report/withpage.mdx,messages/en.json, andassets.json, plus the backing registry record undersrc/content/registry/papers/if it does not already exist; classify it as apaper; connect it to the GPT-2 model page, transformer architecture, byte-level tokenization, pretraining, scaling-law-adjacent pages when useful, and the existing citation recordcitation.gpt-2-report; and add only the focused validation/tests needed for the touched paper/content surfaces. The page should explain what the report introduced, what architecture and training choices mattered most, and why it became a reference point for later decoder-only language models. Acceptance criteria: the GPT-2 report paper page exists as a canonical registry-backed paper page on currentmain, is discoverable from search/tags/related links, and the focused touched checks pass.","problem": "The repo already ships the
citation.gpt-2-reportrecord and nearby concept pages such as transformer architecture, byte-level tokenization, and scaling law, but it does not yet give readers a canonical paper destination for the publication that introduced GPT-2. Without a paper page, readers can see the report cited from other pages without getting a direct explanation of the report itself, its decoder-only transformer framing, its byte-level BPE tokenization choice, its broad next-token pretraining setup, or its historical role in making large unsupervised language models a central reference point. Discovery is also incomplete because search, tags, and related-doc surfaces cannot currently route a reader into a dedicatedgpt-2-reportpaper page. The current branch also does not appear to ship a canonicalmodel.gpt-2page or a canonicalpretrainingtraining-regime record yet, so this slice must support conditional linking instead of requiring placeholder records on currentmain.","solution": "Create a canonical
paper.gpt-2-reportregistry record and a canonical/docs/papers/gpt-2-reportpage with English-only localized content and the minimal local assets needed by the paper template. Classify it as apaper, use the existingcitation.gpt-2-reportrecord for references, and wire registry relationships to shipped adjacent pages such asconcept.transformer-architecture,module.byte-level-tokenization, andconcept.scaling-law. Keep GPT-2 model-page and pretraining links conditional on those canonical targets existing in the branch by implementation time. Add focused automated proof for registry integrity plus at least one route, related-doc, tag, or discovery behavior specific to the new paper page."},
"acceptanceCriteria": [
"A published canonical docs page exists for
gpt-2-reportwith a matching paper registry record, English messages, and any required local assets.","The page is classified as a
paperand presented as the canonical explainer for the GPT-2 report rather than only as a citation leaf or model-page footnote.","The page follows paper-template and docs-writing standards with one folded
openingSummary, layperson-friendly language, correct first-use naming forLanguage Models are Unsupervised Multitask Learners, and no phase/process/meta language.","The page explains what the report introduced, which decoder-only architecture and training choices mattered most, and why the report became a reference point for later large language models.",
"Search, tags, citations, and related-doc surfaces can discover the
gpt-2-reportpage and connect it to shipped adjacent pages including transformer architecture, byte-level tokenization, and scaling-law-adjacent concepts.","The page links to canonical GPT-2 model and pretraining pages when those targets exist in the branch, and otherwise renders cleanly without broken links or placeholder references.",
"Focused validation covers registry/message integrity plus at least one page-specific route, search, tag, or related-doc expectation for
gpt-2-report.","Quality gate: make typecheck, make lint, and make test pass."
],
"userStories": [
{
"id": "gpt-2-report-paper-page-001",
"title": "Establish the GPT-2 report as a first-class paper record",
"description": "As a reader searching for the GPT-2 report, I want the site to treat it as a canonical paper page so I can reach one authoritative explainer instead of only seeing a citation.",
"acceptanceCriteria": [
"A published paper registry record exists for
gpt-2-reportwith stable idpaper.gpt-2-report, canonical sluggpt-2-report, paper kind metadata, and aliases covering representative queries such asGPT-2 report,Language Models are Unsupervised Multitask Learners, andOpenAI GPT-2 report.","The record references
citation.gpt-2-reportand models the paper as the canonical publication behind that citation rather than duplicating citation metadata without a paper-page purpose.","Registry relationships connect the paper to shipped adjacent records including
concept.transformer-architecture,module.byte-level-tokenization, andconcept.scaling-law, plus other scaling-law-adjacent or GPT-2-adjacent records only when those links are accurate and helpful.","The record conditionally links to a canonical GPT-2 model record and a canonical pretraining record only if those records exist in the branch by implementation time, and does not require placeholder records on current
main.","Typecheck passes",
"Tests pass"
],
"priority": 1,
"passes": true,
"notes": ""
},
{
"id": "gpt-2-report-paper-page-002",
"title": "Publish the canonical GPT-2 report explainer page",
"description": "As a technical layperson learning language models, I want a dedicated GPT-2 report page so I can understand what the report introduced, what choices mattered most, and why later decoder-only language models kept referring back to it.",
"acceptanceCriteria": [
"A canonical paper page exists at
/docs/papers/gpt-2-reportwith matching frontmatter,messages/en.json, and any required localassets.json.","The page opens with one folded
openingSummaryand explains the report in plain language before narrowing into decoder-only architecture, byte-level BPE tokenization, broad next-token pretraining, and the report's multitask-generalization framing.","The page includes the standard paper-page sections for why it matters, method or architecture, evidence, limitations, related, tags, and references, and those sections render from the canonical paper-page structure without missing-content placeholders.",
"The method or architecture section explains the report's main architectural and training choices at a level that a technical layperson can follow, and uses the paper contribution graph only if it materially improves comprehension.",
"The page states why the report became a reference point for later decoder-only language models without turning into a benchmark leaderboard or a paper-download workflow.",
"Typecheck passes",
"Tests pass",
"Verify in browser using the Browser plugin"
],
"priority": 2,
"passes": true,
"notes": ""
},
{
"id": "gpt-2-report-paper-page-003",
"title": "Make the GPT-2 report discoverable through related reader journeys",
"description": "As a reader exploring transformer-era papers and GPT-style models, I want search, tags, citations, and related docs to route me into the GPT-2 report page so I can branch into the surrounding architecture and tokenization ideas.",
"acceptanceCriteria": [
"Representative queries such as
GPT-2 report,Language Models are Unsupervised Multitask Learners,OpenAI GPT-2 paper, ordecoder-only transformer paperreturn the canonicalgpt-2-reportpage as a direct relevant result when the reader is trying to find the publication.","The
gpt-2-reportpage renders tags, citations, and related-doc surfaces that connect it to shipped adjacent pages for transformer architecture, byte-level tokenization, and scaling-law-adjacent concepts.","If a canonical GPT-2 model page or pretraining page is present in the branch, the
gpt-2-reportpage exposes it as a navigable related destination; if those pages are absent, the paper page still renders cleanly without broken links or empty error states.","At least one neighboring discovery surface or adjacent canonical page can route readers into
gpt-2-reportwithout requiring them to type the slug directly.","Browser-visible rendering shows title, summary, related docs, tags, and references without broken links or missing-content placeholders.",
"Typecheck passes",
"Tests pass",
"Verify in browser using the Browser plugin"
],
"priority": 3,
"passes": true,
"notes": ""
},
{
"id": "gpt-2-report-paper-page-004",
"title": "Add focused validation for the GPT-2 report paper-page contract",
"description": "As a maintainer, I want targeted automated proof for the GPT-2 report slice so registry, messages, route wiring, and discovery regressions are caught without unrelated test expansion.",
"acceptanceCriteria": [
"Validation or test coverage confirms the
gpt-2-reportroute, paper registry record, citation linkage, and default English messages resolve together.","Coverage asserts at least one
gpt-2-report-specific search, tag, citation, or related-doc expectation.","Coverage stays focused on observable behavior for this paper-page slice and does not require unrelated route inventories, locale-manifest churn, or meta-test scaffolding.",
"Typecheck passes",
"Tests pass"
],
"priority": 4,
"passes": true,
"notes": ""
}
]
}