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Pith Number

pith:H32PD7AZ

pith:2026:H32PD7AZZGP4PTZYSJCD6SCDZO
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AI Evaluation Should Require Standardized Item-Level Data Releases

Dongyao Zhu, Han Jiang, Sang T. Truong, Sanmi Koyejo, Susu Zhang, Xiaoyuan Yi, Xing Xie, Yuzhuo Bai, Ziang Xiao

Item-level AI benchmark data is essential for a rigorous science of AI evaluation.

arxiv:2604.03244 v2 · 2026-02-27 · cs.AI · cs.CY · cs.DB

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\pithnumber{H32PD7AZZGP4PTZYSJCD6SCDZO}

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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

item-level AI benchmark data is essential for establishing a rigorous science of AI evaluation. Item-level analysis enables fine-grained diagnostics and principled validation of benchmarks.

C2weakest assumption

That the systemic validity failures described are primarily caused by the absence of item-level data and that supplying such data will by itself enable principled validation without additional changes to benchmark design or metric selection.

C3one line summary

Item-level benchmark data is essential for rigorous AI evaluation because it enables fine-grained diagnostics and principled validation of benchmarks that aggregate scores cannot provide.

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-25T02:01:18.859147Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

3ef4f1fc19c99fc7cf3892443f4843cb98cc2a7abaceb48001f3bf453eb1760b

Aliases

arxiv: 2604.03244 · arxiv_version: 2604.03244v2 · doi: 10.48550/arxiv.2604.03244 · pith_short_12: H32PD7AZZGP4 · pith_short_16: H32PD7AZZGP4PTZY · pith_short_8: H32PD7AZ
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H32PD7AZZGP4PTZYSJCD6SCDZO \
  | 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: 3ef4f1fc19c99fc7cf3892443f4843cb98cc2a7abaceb48001f3bf453eb1760b
Canonical record JSON
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    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-02-27T04:31:30Z",
    "title_canon_sha256": "ed5d53f0f7113122a2fe0c2a6bbec7018e76e78ca351c11841d7c4ebd800d1f5"
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