arXiv — NLP / Computation & Language · · 3 min read

PaperJury: Due-Process Review for Bounded LaTeX Revision

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Computer Science > Computation and Language

arXiv:2606.16322 (cs)
[Submitted on 15 Jun 2026]

Title:PaperJury: Due-Process Review for Bounded LaTeX Revision

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Abstract:Pre-submission hardening of human-authored LaTeX computer science papers differs from drafting assistance because it requires adversarial whole-paper review, explicit no-fix outcomes, and bounded artifact-safe revision. Existing writing assistants, critique generators, and judge-centered loops lack durable issue identity across rounds, deterministic routing from critique to adjudication, and manuscript control that can reject invalid concerns or defer author-dependent ones. We present PaperJury, a closed-loop review-verdict-revise-verify system built on a deterministic-versus-semantic split: deterministic orchestration manages decomposition, a frozen claim spine, a durable ledger, routing, stopping, and exact-once patch application, while semantic agents are limited to bounded review, judgment, and repair. PaperJury combines bounded holistic review, contestability-based routing, a due-process trial, and risk-proportional guard chains for anchor-bounded edits, yielding terminal outcomes of invalid-drop, valid-fixable, and author-required. In a two-arm expert-review evaluation on held-out Vision, natural language processing, and machine learning papers against four baselines, we assess issue quality, verdict and routing quality, edit safety, convergence behavior, and cost, supporting the thesis that load-bearing safety and completion logic should reside in deterministic orchestration rather than model discretion. PaperJury is available at this https URL.
Comments: 10 pages, 5 figures
Subjects: Computation and Language (cs.CL)
ACM classes: F.2.2; I.2.7
Cite as: arXiv:2606.16322 [cs.CL]
  (or arXiv:2606.16322v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2606.16322
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Biao Wu [view email]
[v1] Mon, 15 Jun 2026 07:29:34 UTC (4,337 KB)
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