Pith Number

pith:IKM2OKOK

pith:2026:IKM2OKOKWJDIUWFTNUHDV2ZZ5K

not attested not anchored not stored refs pending

Stop Automating Peer Review Without Rigorous Evaluation

Dirk Hovy, Jiaxin Pei, Joachim Baumann, Sanmi Koyejo

AI systems should not generate peer reviews today because they show excessive agreement and are easily gamed by stylistic rewrites.

arxiv:2605.03202 v2 · 2026-05-04 · cs.AI

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

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\usepackage{pith}
\pithnumber{IKM2OKOKWJDIUWFTNUHDV2ZZ5K}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

AI reviewers exhibit a hivemind effect of excessive agreement within and across papers that reduces perspective diversity. AI review scores are trivially gameable through paper laundering: prompting an LLM to rewrite a paper could significantly increase the scores from AI reviewers.

C2weakest assumption

That the ICLR 2026 sample and the specific AI models tested are representative of broader peer review contexts, and that the LLM rewriting preserves scientific content without introducing legitimate improvements that would justify higher scores.

C3one line summary

AI peer reviewers show excessive agreement across papers and give higher scores after simple LLM-based stylistic rewriting, so general-purpose LLMs should not automate reviews without rigorous evaluation.

Formal links

2 machine-checked theorem links

Cited by

1 paper in Pith

ReVoicer: Conversational Voice Annotation for Human-Centered, LLM-Assisted Peer Review

Receipt and verification

First computed	2026-07-07T02:18:41.980927Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

4299a729cab2468a58b36d0e3aeb39ea9bf2a31ea73af8d98ebf01cb9ecd2b10

Aliases

arxiv: 2605.03202 · arxiv_version: 2605.03202v2 · doi: 10.48550/arxiv.2605.03202 · pith_short_12: IKM2OKOKWJDI · pith_short_16: IKM2OKOKWJDIUWFT · pith_short_8: IKM2OKOK

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/IKM2OKOKWJDIUWFTNUHDV2ZZ5K \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 4299a729cab2468a58b36d0e3aeb39ea9bf2a31ea73af8d98ebf01cb9ecd2b10

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "60596239c946c171d26d9f20edc37408e9605f3f9442188d521aed1672b760c5",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-04T22:41:04Z",
    "title_canon_sha256": "1001f9fe27d973c8ea9ec16fadea28804c129a8ab2132d00c8359562aee99e0b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.03202",
    "kind": "arxiv",
    "version": 2
  }
}