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Pith Number

pith:XVWEDMQ3

pith:2026:XVWEDMQ33PSSM6VXTHQXLIRZ7B
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LLM Jaggedness Unlocks Scientific Creativity

Esther H. R. Tsai, J. Anibal Boscoboinik, Kevin G. Yager, Shray Mathur

Uneven capabilities across LLMs allow model combinations to generate more scientific ideas than any single model.

arxiv:2605.10574 v2 · 2026-05-11 · cs.AI

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\usepackage{pith}
\pithnumber{XVWEDMQ33PSSM6VXTHQXLIRZ7B}

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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

we show that this jaggedness can be harnessed. We explore mechanisms of inference-time compute, knowledge pooling, and brainstorming to combine models effectively and construct meta-model ensembles that outperform any single model.

C2weakest assumption

That the total number of valid responses is a reliable proxy for creative potential, and that human or automated judgment of uniqueness and coherence accurately captures scientific creativity without systematic bias.

C3one line summary

LLMs exhibit jagged scientific creativity across models, prompts, and domains, and this unevenness can be leveraged via model ensembles to outperform any single model on idea generation.

Receipt and verification
First computed 2026-05-21T02:05:05.103096Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

bd6c41b21bdbe5267ab799e175a239f8764b42b900220339987e236e0924285f

Aliases

arxiv: 2605.10574 · arxiv_version: 2605.10574v2 · doi: 10.48550/arxiv.2605.10574 · pith_short_12: XVWEDMQ33PSS · pith_short_16: XVWEDMQ33PSSM6VX · pith_short_8: XVWEDMQ3
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XVWEDMQ33PSSM6VXTHQXLIRZ7B \
  | 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: bd6c41b21bdbe5267ab799e175a239f8764b42b900220339987e236e0924285f
Canonical record JSON
{
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    "abstract_canon_sha256": "61411a240af73605462fe32ae3315b900ee9a1f8ab8d3ca936170664cd5f930c",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-11T13:47:48Z",
    "title_canon_sha256": "923e4f649e9e323b741e5708b44b798a73e7ba9ea672cf389181e14941cf3f02"
  },
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    "kind": "arxiv",
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