Add Reviewer 3 (closed-source HTTP API) as a benchmark system#85
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dangng2004 wants to merge 6 commits into
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Add Reviewer 3 (closed-source HTTP API) as a benchmark system#85dangng2004 wants to merge 6 commits into
dangng2004 wants to merge 6 commits into
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Wires reviewer3 into both the perturbation benchmark (run_benchmark.py) and
the conference outcomes study (run_competitors.py), so it can be benchmarked
on the exact same paper sets as openaireview and coarse.
Highlights
- Perturbation: LaTeX-as-md sources are compiled to PDF with pdflatex
before submission (cs_CC corpus is full LaTeX); other domains pass
through. PDF MIME is set; cfg knobs (review_mode, poll_interval_s,
poll_timeout_s) are threaded from YAML through Reviewer3System into
the adapter via the job payload.
- Comment normalization picks up the recently-added Reviewer 3 fields:
citedText (-> quote), title, severity (1-4 -> canonical 3-tier scale).
- Severity mapping is consolidated into benchmarks/perturbation/_severity.py
so the perturbation adapter, compute_auc.py, and report_scaleup.py share
one source of truth (collapses three inlined copies of COARSE_SEVERITY_MAP).
- Conference adapter reuses the perturbation HTTP submit/poll/normalize
helpers via sys.path import; no duplication. R3 has no model selector,
so method_key is fixed at reviewer3__reviewer3.
- 8 perturbation configs (full_<domain>_reviewer3.yaml) mirror the
full_<domain>_coarse.yaml knobs for max_tokens / min_perturbations.
- conference_study/configs/reviewer3.yaml pins models: [reviewer3] so
the per-(paper, model) loop fires once per paper rather than once per
manifest model.
- requests>=2.31 added to [project.optional-dependencies] benchmarks.
- .env.example documents REVIEWER3_API_KEY / REVIEWER3_USER_ID
(UUID, not email — see neurips_2026 setup notes).
Operational note (not in this diff)
- conference_study/{manifests,papers,results} are gitignored data dirs
that live only in the sibling worktree. To run, symlink them in:
cd benchmarks/conference_study
ln -s ../../../OpenAIReview/benchmarks/conference_study/manifests manifests
ln -s ../../../OpenAIReview/benchmarks/conference_study/papers papers
ln -s ../../../OpenAIReview/benchmarks/conference_study/results results
Known gap
- run_competitors.py does not load .env (only run_benchmark.py does);
export REVIEWER3_* before launching, or add a dotenv.load_dotenv() at
the top of run_competitors.py in a follow-up.
Smoke-validated end-to-end on 1 cs_CC paper through the perturbation
runner; recall 10/17 on the staged perturbations (LLM judge).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…figs Two cleanups so `git status` reflects only real work: Root .gitignore - Add slash-less `benchmarks/conference_study/papers` (the existing `papers/` rule in conference_study/.gitignore uses a trailing slash and wouldn't match a symlink — same situation the file already handles for manifests/ and results/). - Ignore `benchmarks/experimental_perturbations/` (removed from the repo in 6373fad but the local dir lingers). benchmarks/perturbation/.gitignore - Extend the "ephemeral configs" rule beyond `configs/_*` to cover the per-domain configs we generate locally but don't check in: configs/cs_*scaleup*.yaml configs/full_*.yaml configs/grok_*.yaml configs/longtail_*.yaml configs/subset_*.yaml configs/r3_smoke*.yaml Add `!configs/full_*_reviewer3.yaml` exception so the canonical reviewer3 configs that ARE tracked don't get hidden by the bulk rule. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…ilures)
The token-based truncation in `prepare_units` cuts the LaTeX-as-md staged file
at a token boundary, which routinely leaves the document mid-environment.
pdflatex on the staged file then "produces no usable PDF" for a fraction of
papers, surfacing as a hard failure in the reviewer3 run.
Switches the reviewer3 system to compile the FULL pre-truncation source
(`u.src_corrupted`) and then trim the rendered PDF to its first N pages.
This matches the `max_pages: 20` convention conference_study/configs/coarse.yaml
already uses for coarse, so reviewer3 sees roughly the same content window
the other systems see.
Three pdflatex robustness fixes layered in:
1. Strip orphan `\input{...}` / `\include{...}` whose target file isn't
bundled. pdflatex aborts hard on a missing \input, killing the compile
for the whole paper even when the body is fine (paper_005 cs_CC had
`\input{mypreamble.tex}`).
2. Inject a defensive preamble of `\providecommand` fallbacks for common
author-defined shortcuts (\bbR, \calA, \bfx, \eps, \vvirg, \ootimes,
etc.). Authors typically define these in private preamble files we
don't have; \providecommand is a no-op when the command is already
defined, so the injection is safe blanket coverage.
3. subprocess.run uses bytes (text=False) instead of text=True so the
pdflatex log's non-UTF-8 accent bytes don't blow up Python's decoder
(paper_009 cs_CC had byte 0xaa at offset ~57k).
Changes
- Reviewer3System.build_jobs threads `u.src_corrupted` (full path) and
`cfg["max_pages"]` into the job payload.
- Reviewer3Job adopts `source` + `max_pages` fields; `_submit` / `_ensure_pdf`
forward them.
- `_ensure_pdf` prefers `source` over `paper` for the compile when set;
caches alongside the source with `.trim.pdf` suffix when trimmed.
- `_trim_pages_to` (in-place) and `_maybe_trim_pages` (for already-PDF inputs)
use pymupdf to cap pages.
- `max_pages: 20` added to all 8 `full_*_reviewer3.yaml` configs.
- run_benchmark.py Config gains `max_pages: int | None = None`.
Smoke-validated on three previously-failing cs_CC papers (2604.19872v1 with
missing \input + custom commands, 2604.24325v1 with same pattern, 2604.24879v1
with non-UTF8 bytes in pdflatex output) — all three now produce 20-page
trimmed PDFs in 2–4s.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2 tasks
…to 1h Two operational fixes after observing the live runs: 1. Conference Reviewer3Adapter wasn't honoring max_pages — it called _submit(pdf) directly without forwarding max_pages, so R3 received the full PDF (sometimes 50+ pages, 5+ MB) and a chunk of those tripped R3's HTTP 413 limit. Adapter now reads `max_pages` from the top-level config (falling back to reviewer3_options.max_pages) and threads it through to _submit -> _ensure_pdf -> _maybe_trim_pages. 2. poll_timeout_s bumped from 1800 (30 min) to 3600 (60 min) in all 8 perturbation configs and conference reviewer3.yaml. Observed wall time per paper under 10-concurrent load was routinely 25-40 min, with a long tail past 30 — causing dozens of false-timeout failures even though R3 was still processing. The session remains live on R3's side regardless, but the adapter abandoned them. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Three layered fixes for the remaining pdflatex-aborts:
1. `_force_known_documentclass` — rewrite \documentclass[opts]{X} to
\documentclass{amsart} when X.cls isn't installed (kpsewhich miss).
Many papers use journal classes not in TeX Live (aq-amsart, sn-jnl,
atlasdoc, aastex631/701, cas-sc, iopjournal, svjour3, ieeeconf,
informs3, revtex4 without -1/-2). amsart is the math-friendly fallback,
preserving theorem/lemma envs.
Regex now matches only the **first uncommented** \documentclass so
commented-out example lines (e.g. q-bio.GN papers carry
`%%\documentclass[...]{sn-jnl}` followed by the active variant) don't
short-circuit the lookup.
2. `_strip_missing_packages` — same idea for \usepackage{X} when X.sty
isn't installed. pdflatex aborts hard on a missing package too; the
common offender on hep-ex papers is `\usepackage{jinstpub}`. Comment
them out; the body's references to missing-package commands degrade
to undefined-control-sequence warnings (pdflatex in nonstopmode still
produces a usable PDF).
3. Rescue preamble now runs inside \AtBeginDocument{...} so its
\providecommand falls AFTER all \usepackage{...} loads. Previously,
the rescue defined \Bbbk before amsfonts loaded, then amsfonts
`\DeclareSymbolFont` errored with "Command \Bbbk already defined".
Spot-test across 8 domains: 7 of 8 sample papers compile cleanly. The
holdout is q-bio.GN paper_001 (uses sn-jnl class with extensive class-
specific commands that don't degrade gracefully); 9 of 10 q-bio.GN papers
use bundled classes and work. Expected pdflatex-failure cells dropped
from 39 to ~3 (one paper × three error types).
kpsewhich results are cached per process for the common-class /
common-package set so repeated rewrites across the 222-cell run pay the
subprocess cost once per (class|package).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…waste Adds `.sid` file alongside each review output. On run: - If `.sid` exists and points to a still-valid R3 session, we POLL that session instead of submitting a new one. Avoids the duplicate-session credit waste observed when runs were killed mid-poll (~34% of credits spent on duplicates across yesterday's runs, per the rescue audit). - If the sid fetch hard-fails (403 "not found" / 404), drop the stale file and submit fresh. - On submit success: write the sid IMMEDIATELY so a SIGKILL between submit and first poll-tick still leaves a recovery path. - On any failure: keep the sid file — next run resumes the same session. - On success: leave the sid file in place as an audit trail (cheap; the out_json's presence is the real "done" marker for skip-completed). Perturbation: - `Reviewer3Job` gains `sid_file: Path | None`. `Reviewer3System.build_jobs` computes `<review_dir>/<stem>.sid` per cell and threads it through. - `_run_one` handles the resume vs submit branch. Conference: - `run_competitors.py` injects `cfg["_sid_file"]` next to the merged paper JSON (under `<results>/.sids/<slug>.<method_key>.sid`). - Conference `Reviewer3Adapter.review()` honors the underscore-prefixed key and persists/resumes the same way. Also drops the conference `max_per_model: 1` back to 5 after confirming R3's throttle from yesterday has lifted (single-paper probe transitioned waiting -> processing). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Summary
run_benchmark.py) and the conference outcomes study (run_competitors.py) so it can be benchmarked on the exact same paper sets as openaireview and coarse.pdflatexbefore submission; cfg knobs (review_mode, poll_*) thread from YAML throughReviewer3Systeminto the adapter via job payload; new comment fields (citedText, title, severity 1–4) get normalized into our schema.Reviewer3Adapterreuses the perturbation HTTP submit/poll/normalize helpers (no duplication); fixed method keyreviewer3__reviewer3since R3 has no model selector.benchmarks/perturbation/_severity.py— perturbation adapter,compute_auc.py, andreport_scaleup.pynow share one source of truth (collapses three inlined copies ofCOARSE_SEVERITY_MAP).full_<domain>_reviewer3.yaml) mirror the matchingfull_<domain>_coarse.yamlknobs for max_tokens / min_perturbations.requests>=2.31added to[project.optional-dependencies] benchmarks;.env.exampledocumentsREVIEWER3_API_KEY/REVIEWER3_USER_ID(UUID from the vendor's web UI session JSON, not an email).Test plan
run_benchmark.py(10 min wall, 11 comments, recall 10/17 on LLM judge).--dry-runlists all 197 v2 papers without submitting.run_benchmark.load_config(...)and infersystem=reviewer3correctly.Operational notes (not in the diff)
conference_study/{manifests,papers,results}are gitignored data dirs that live only in the sibling worktree. To run conference_study locally, symlink them in:run_competitors.pydoesn't load.env(onlyrun_benchmark.pydoes). ExportREVIEWER3_*before launching, or adddotenv.load_dotenv()at the top ofrun_competitors.pyin a follow-up.🤖 Generated with Claude Code