pith:EWBEHR7L
Soohak: A Mathematician-Curated Benchmark for Evaluating Research-level Math Capabilities of LLMs
A benchmark of 439 original research-level math problems shows frontier LLMs solve at most 30 percent and recognize ill-posed questions less than half the time.
arxiv:2605.09063 v2 · 2026-05-09 · cs.CL
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Claims
On the Challenge subset, frontier models including Gemini-3-Pro, GPT-5, and Claude-Opus-4.5 reach 30.4%, 26.4%, and 10.4% respectively, leaving substantial headroom, while on the refusal subset no model exceeds 50%.
That the 439 problems are genuinely original, uncontaminated by training data, and correctly classified as research-level by the 64 mathematicians who authored them.
Soohak is a new 439-problem mathematician-authored benchmark showing frontier LLMs reach only 30% on research math and fail to exceed 50% on refusing ill-posed questions.
Formal links
Receipt and verification
| First computed | 2026-05-20T00:03:16.130063Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
258243c7eb5c0fd5b0d6fc2b6d4b63e7bb88cfad578d639315e4abdd2a1e60f3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EWBEHR7LLQH5LMGW7QVW2S3D46 \
| 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: 258243c7eb5c0fd5b0d6fc2b6d4b63e7bb88cfad578d639315e4abdd2a1e60f3
Canonical record JSON
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