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Claim LD06-SL-C03 (v1.0)

Re-checking 15 popular benchmarks wherever a frontier model failed an item, MIT researchers found many “riddled with errors (e.g., 5% of GSM8K)”, and for most benchmarks more than half of model failures could be traced to label noise rather than to the model; they describe their counts as a lower bound.

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 full error rate for any benchmark (items every model got right were not checked)
Source (field 6, as printed)
Vendrow, Vendrow, Beery & Madry, “Do Large Language Model Benchmarks Test Reliability?,” arXiv:2502.03461, February 2025
Source type (field 7)
PREPRINT (as printed: “Preprint”)
Institutional position
Independent academic (MIT)
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-C03--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-C03—
2PUBLIC-FACING CLAIMRe-checking 15 popular benchmarks wherever a frontier model failed an item, MIT researchers found many “riddled with errors (e.g., 5% of GSM8K)”, and for most benchmarks more than half of model failures could be traced to label noise rather than to the model; they describe their counts as a lower bound.—
3CLAIM TYPEESTIMATEbase_types: ESTIMATE
4RESEARCH STRANDA — Benchmark validity and measurement—
5MATURITYEMERGINGstates: EMERGING
6SOURCEVendrow, Vendrow, Beery & Madry, “Do Large Language Model Benchmarks Test Reliability?,” arXiv:2502.03461, February 2025source_ids: SRC-SL-VENDROW-ET-AL-ARXIV-2502-03461
7SOURCE TYPEPreprintclasses: PREPRINT
8INSTITUTIONAL POSITIONIndependent academic (MIT)—
9SCOPESubsets of 15 benchmarks treated as saturated, including GSM8K and reading-comprehension sets—
10DESIGNManual inspection of every item that any tested frontier model got wrong; flawed items removed or relabelled—
11SAMPLE / DATASETRevised subsets of 15 benchmarks—
12MODEL / TOOL / VERSIONA range of frontier language models available in early 2025—
13COMPARATORThe benchmarks’ original answer keys—
14MAIN RESULTAbout 5% of GSM8K items erroneous; for the majority of benchmarks more than half of model failures attributable to label noise; issues with up to 30% of examples in some reading-comprehension sets; frontier models still fail simple items on the cleaned versions—
15INFERENTIAL TARGETThe share of benchmark error that is in the benchmark rather than the model—
16DOES NOT LICENSEA full error rate for any benchmark (items every model got right were not checked)—
17VERIFICATION STATECONTENT VERIFIED PREPRINTstate: CONTENT_VERIFIED_PRIMARY · qualifiers: PREPRINT · verified_by: UNKNOWN
18LIMITATIONSLower bound by design; only items a model failed were inspected; venue not confirmed—
19CONTRADICTORY / SUPPORTING SOURCESConsistent with LD06-SL-C04 (MMLU) and with the benchmark-wide GSM8K figure in LD06-SL-C01—
20GEOGRAPHY / LANGUAGENot checked / English—
21DISTRIBUTIONAL LEDGERNot analysed in this claim—
22R01 / FIELD-MAP LINKSLD-06, D4b—
23WHAT WOULD CHANGE THIS CLAIM?Full audits of all items, including those every model answers the same way—
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 b9a5710d869eee9beeb1883ae6d41835914d70a3b754720f57bccaa25bdeacc0.

Repository-authored inputs (not Drive exports)

  • SocioLens claim — LD06-SL-C03 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 03 — LD06-SL-C03” SHA-256 8972da3a39e30cb192940a0b75a4d963af2fbf3b434f74a2debb28bdcdc1d35a; fixture fixtures/authored/claims/LD06-SL-C03--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-C03 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-C03 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-VENDROW-ET-AL-ARXIV-2502-03461--v1.0 — basis: field 6 of ENTRY 03 — LD06-SL-C03 cites "Vendrow, Vendrow, Beery & Madry, “Do Large Language Model Benchmarks Test Reliability?,” arXiv:2502.03461, February 2025"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
  • SOURCE_PROVENANCE_PIN = SRC-SL-VENDROW-ET-AL-ARXIV-2502-03461--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Vendrow, Vendrow, Beery & Madry, “Do Large Language Model Benchmarks Test Reliability?,” arXiv:2502.03461, February 2025".