Pith Number

pith:DKVJN7NY

pith:2026:DKVJN7NY3VJINP6R22LISMYHOS

not attested not anchored not stored refs pending

Robust Reasoning Benchmark

Evgenii Opryshko, Gennady Pekhimenko, Mark C. Jeffrey, Pavel Golikov

Open-weight reasoning models lose up to 55 percent accuracy when AIME problems receive 14 simple text perturbations.

arxiv:2604.08571 v2 · 2026-03-26 · cs.LG · cs.AI · cs.CL

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\usepackage{pith}
\pithnumber{DKVJN7NY3VJINP6R22LISMYHOS}

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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

open weights reasoning models suffer catastrophic collapses (up to 55% average accuracy drops across perturbations and up to 100% on some), exposing structural fragility. ... intermediate reasoning steps permanently pollute standard dense attention mechanisms.

C2weakest assumption

That the 14 perturbations preserve the underlying mathematical content and difficulty so that accuracy drops can be attributed specifically to reasoning or parsing failures rather than altered problem solvability.

C3one line summary

Perturbations to math problem text cause up to 55% average accuracy drops in open-weight LLMs and sequential solving reveals context pollution in attention mechanisms.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-22T01:03:19.298591Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

1aaa96fdb8dd5286bfd1d69689330774a87df6cff0f040971799b6d507e39b3a

Aliases

arxiv: 2604.08571 · arxiv_version: 2604.08571v2 · doi: 10.48550/arxiv.2604.08571 · pith_short_12: DKVJN7NY3VJI · pith_short_16: DKVJN7NY3VJINP6R · pith_short_8: DKVJN7NY

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/DKVJN7NY3VJINP6R22LISMYHOS \
  | 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: 1aaa96fdb8dd5286bfd1d69689330774a87df6cff0f040971799b6d507e39b3a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "5f4b4257e5fef207bee4cc639ca93ecbb7cbd1d84d957c58fbf00cf4e1cd5ace",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CL"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-03-26T22:19:33Z",
    "title_canon_sha256": "1506d1d446ef8dad258b04c28e5f6f006c00c5e44e54fb5ae902ba7b52b0030b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.08571",
    "kind": "arxiv",
    "version": 2
  }
}