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Claim LD06-SL-C08 (v1.0)

An audit of agentic benchmarks found flaws in task setup or scoring, for example insufficient test cases in SWE-bench Verified and empty responses counted as successes in TAU-bench, that can under- or overestimate agents’ performance by up to 100% in relative terms.

Provenance and status

Claim type
ESTIMATE (as printed: “ESTIMATE”)
Publication status
ELIGIBLE (PREPRINT) (as printed: “ELIGIBLE WITH PREPRINT QUALIFIER”)
Verification state
CONTENT_VERIFIED_PRIMARY (PREPRINT) (as printed: “CONTENT VERIFIED PREPRINT”; verified by: UNKNOWN)
Does not license
A correction factor for any published agent score
Source (field 6, as printed)
Zhu, Jin, Pruksachatkun, Zhang, Liu, Cui et al., “Establishing Best Practices for Building Rigorous Agentic Benchmarks,” arXiv:2507.02825 (v5), 2025
Source type (field 7)
PREPRINT (as printed: “Preprint”)
Institutional position
Independent academic and nonprofit (UIUC-led, with Stanford, Berkeley, the UK AI Security Institute and others); CVE-Bench, the benchmark the authors improve, comes from the lead authors’ own group
Maturity (claim evidence / publication maturity)
EMERGING (as printed: “EMERGING”)
Recorded date
2026-10-15
Currentness / correction
This is the current version. No correction or concern relation is recorded on its Sources.

Version

Pinned version v1.0 (entry LD06-SL-C08--v1.0) — this page never floats to newer evidence.

This pinned version is also the current version.

Versions:v1.0 · current

Pinned Sources (field 6, version-specific)

All 25 canonical Claim fields (raw values and normalized values)
#Canonical fieldCanonical value (verbatim)Normalized (Claim Value Vocabulary v1.0.2)
1CLAIM IDLD06-SL-C08—
2PUBLIC-FACING CLAIMAn audit of agentic benchmarks found flaws in task setup or scoring, for example insufficient test cases in SWE-bench Verified and empty responses counted as successes in TAU-bench, that can under- or overestimate agents’ performance by up to 100% in relative terms.—
3CLAIM TYPEESTIMATEbase_types: ESTIMATE
4RESEARCH STRANDA — Benchmark validity and measurement—
5MATURITYEMERGINGstates: EMERGING
6SOURCEZhu, Jin, Pruksachatkun, Zhang, Liu, Cui et al., “Establishing Best Practices for Building Rigorous Agentic Benchmarks,” arXiv:2507.02825 (v5), 2025source_ids: SRC-SL-ZHU-ET-AL-AGENTIC-BENCHMARK-CHECKLIST-ARXIV-2507-02825
7SOURCE TYPEPreprintclasses: PREPRINT
8INSTITUTIONAL POSITIONIndependent academic and nonprofit (UIUC-led, with Stanford, Berkeley, the UK AI Security Institute and others); CVE-Bench, the benchmark the authors improve, comes from the lead authors’ own group—
9SCOPEBenchmarks that score AI agents on multi-step tasks—
10DESIGNAudit of benchmark designs; checklist synthesized and applied—
11SAMPLE / DATASETTen widely used agentic benchmarks—
12MODEL / TOOL / VERSIONAgents evaluated on the audited benchmarks—
13COMPARATORCorrected task setups and reward designs—
14MAIN RESULTRelative under- or overestimation of up to 100%; applying the checklist to CVE-Bench reduced overestimation by 33%—
15INFERENTIAL TARGETWhether agent benchmark scores measure task success—
16DOES NOT LICENSEA correction factor for any published agent score—
17VERIFICATION STATECONTENT VERIFIED PREPRINTstate: CONTENT_VERIFIED_PRIMARY · qualifiers: PREPRINT · verified_by: UNKNOWN
18LIMITATIONSRead in full text (arXiv v5); venue not checked; the audit is by benchmark builders applying their own checklist—
19CONTRADICTORY / SUPPORTING SOURCESConsistent with maintainer review of SWE-bench patches: LD06-SL-C12—
20GEOGRAPHY / LANGUAGENot checked / English—
21DISTRIBUTIONAL LEDGERNot analysed in this claim—
22R01 / FIELD-MAP LINKSLD-06, D4b—
23WHAT WOULD CHANGE THIS CLAIM?Independent re-scoring of published agent results under corrected designs—
24PUBLICATION STATUSELIGIBLE WITH PREPRINT QUALIFIERstate: ELIGIBLE · qualifiers: PREPRINT
25RECORDED DATE2026-10-15—

Field 22 references resolved against Field Map v0.2: LD-06 (LIVING_DEBATE); D4b (SUB_AREA)

Cited by Living Debate versions

Research-of-record provenance

Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 29b90ab9c8a4ef851d695405d378a42ac080f1aea67ad4b14f7d59b7873e1a82.

Repository-authored inputs (not Drive exports)

  • SocioLens claim — LD06-SL-C08 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-15; no Drive identity exists. Authority: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 15 October 2026 to build the LD-06 debate; a new Claim, first version, written from the project's LD-06 source notes, checked against full texts or official abstracts. Block “ENTRY 08 — LD06-SL-C08” SHA-256 053ce3805c89335874ed64ce9a7ed465a2db9be1553b754672eec6f24b5d6efb; fixture fixtures/authored/claims/LD06-SL-C08--v1.0.

Builder decisions (not Drive data)

  • VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD06-SL-C08 v1.0); the first version of a new Claim of the LD-06 debate
  • CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD06-SL-C08 v1.0" (Project Lead (Claude, AI), 2026-10-15); basis: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 15 October 2026 to build the LD-06 debate; a new Claim, first version, written from the project's LD-06 source notes, checked against full texts or official abstracts
  • FIELD_6_SOURCE_REFERENCE = SRC-SL-ZHU-ET-AL-AGENTIC-BENCHMARK-CHECKLIST-ARXIV-2507-02825--v1.0 — basis: field 6 of ENTRY 08 — LD06-SL-C08 cites "Zhu, Jin, Pruksachatkun, Zhang, Liu, Cui et al., “Establishing Best Practices for Building Rigorous Agentic Benchmarks,” arXiv:2507.02825 (v5), 2025"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
  • SOURCE_PROVENANCE_PIN = SRC-SL-ZHU-ET-AL-AGENTIC-BENCHMARK-CHECKLIST-ARXIV-2507-02825--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Zhu, Jin, Pruksachatkun, Zhang, Liu, Cui et al., “Establishing Best Practices for Building Rigorous Agentic Benchmarks,” arXiv:2507.02825 (v5), 2025".