Pith Number

pith:DEJZZCM4

pith:2026:DEJZZCM4MQ5OTC3P4B5MXPR74F

not attested not anchored not stored refs pending

CVEvolve: Autonomous Algorithm Discovery for Unstructured Scientific Data Processing

Dishant Beniwal, Hemant Sharma, Mathew J. Cherukara, Ming Du, Songyuan Tang, Xiangyu Yin, Yanqi Luo

An LLM agent autonomously discovers algorithms for scientific image tasks that outperform baselines.

arxiv:2605.11359 v2 · 2026-05-12 · cs.AI · physics.data-an

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\usepackage{pith}
\pithnumber{DEJZZCM4MQ5OTC3P4B5MXPR74F}

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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

Across these tasks, CVEvolve discovers algorithms that improve over baseline methods, while holdout test tracking helps identify candidates that generalize better than later over-optimized alternatives.

C2weakest assumption

That the LLM-powered multi-round search with lineage-aware sampling and holdout evaluation can reliably produce generalizable algorithms for unstructured scientific data without extensive human guidance or post-hoc tuning.

C3one line summary

CVEvolve uses LLM agents with lineage-aware search to autonomously discover algorithms that outperform baselines on scientific image tasks including registration, peak detection, and segmentation.

Receipt and verification

First computed	2026-05-26T01:02:35.639768Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

19139c899c643ae98b6fe07acbbe3fe14516eec33f4ec70e1547545e149171e5

Aliases

arxiv: 2605.11359 · arxiv_version: 2605.11359v2 · doi: 10.48550/arxiv.2605.11359 · pith_short_12: DEJZZCM4MQ5O · pith_short_16: DEJZZCM4MQ5OTC3P · pith_short_8: DEJZZCM4

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/DEJZZCM4MQ5OTC3P4B5MXPR74F \
  | 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: 19139c899c643ae98b6fe07acbbe3fe14516eec33f4ec70e1547545e149171e5

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "bcc0f03d852f427bb8da06409a815175062778e985672f4547b332d21f06b8dd",
    "cross_cats_sorted": [
      "physics.data-an"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-12T00:24:30Z",
    "title_canon_sha256": "522411d31630d3afca3cfc91f5bdd5ea8f6e3f6a56a60c7cc47369a1eeb6dae6"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.11359",
    "kind": "arxiv",
    "version": 2
  }
}