Skip to content

Review Criteria

paper-audit now uses a deep-review-first standard.

There are two layers:

  1. Issue taxonomy for actual reviewer findings
  2. Score mapping for readiness summaries and gates

Core Principles

  • Understand the author's intended claim before flagging an issue.
  • Prioritize evidence-backed findings over stylistic commentary.
  • Flag ambiguity only when it could mislead a careful reader.
  • Treat scores as indicators; treat issue bundles as the primary product.
  • Keep [Script] and [LLM] findings separate.

Deep Review Taxonomy

Check for:

  1. mathematical or derivation errors
  2. notation inconsistencies
  3. prose vs equation / table / formal definition mismatch
  4. numerical inconsistencies
  5. insufficient justification for non-trivial choices or derivations
  6. claim inaccuracy or overclaim
  7. ambiguity that could mislead a careful reader
  8. missing methodological detail or reproducibility-critical information
  9. internal contradictions across sections
  10. self-consistency of standards

Scoring Layer

4-Dimension Summary

  • Quality
    • soundness of claims
    • fairness of evaluation
    • correctness of derivations, statistics, and comparisons
  • Clarity
    • notation consistency
    • organization
    • missing definitions and missing method detail
  • Significance
    • whether the contribution matters if true
    • whether claims are scoped honestly
  • Originality
    • novelty relative to prior work
    • honest differentiation from close baselines or precedents

9-Dimension ScholarEval Layer

Use ScholarEval when requested, but do not let score production displace issue finding. The issue bundle remains primary.

Severity Calibration

  • major
    • threatens a paper-level claim, methodology, comparison, or conclusion
  • moderate
    • real issue, localized and fixable, but not paper-fatal
  • minor
    • framing or clarity problem that still deserves attention

Script vs Reviewer Judgment

Typically script-backed

  • undefined refs / labels / captions
  • venue checklist failures
  • visual layout issues
  • some cross-section closure heuristics
  • some literature-grounding or citation-stacking heuristics

Typically reviewer-judgment

  • overclaim
  • evidence sufficiency
  • fairness of comparisons
  • self-consistency of standards
  • prior-art overlap significance
  • ambiguity severity

Leniency Rules

Be lenient with:

  • introductory simplifications
  • forward references that are resolved later
  • prose summaries that intentionally paraphrase formal statements
  • OCR artifacts or isolated symbol noise when PDF parsing is imperfect

Do not flag:

  • formatting trivia
  • capitalization-only issues
  • domain-obvious shorthand that no careful reviewer would misunderstand

Released under the MIT License.