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pith:3Q4F7NJB

pith:2026:3Q4F7NJBFDPXY6GCIM4B4UVVO4
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Towards Autonomous Mechanistic Reasoning in Virtual Cells

Alisandra Kaye Denton, Dominique Beaini, Emmanuel Noutahi, Jake Fawkes, Lu Zhu, Yunhui Jang

Mechanistic action graphs verified by a multi-agent system produce explanations that improve factual accuracy and gene expression prediction in virtual cell models.

arxiv:2604.11661 v3 · 2026-04-13 · cs.LG · cs.AI

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\usepackage{pith}
\pithnumber{3Q4F7NJBFDPXY6GCIM4B4UVVO4}

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4 Citations open
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Claims

C1strongest claim

training with these explanations improves factual precision and provides a more effective supervision signal for downstream gene expression prediction

C2weakest assumption

The verifier-based filtering approach produces factually grounded and actionable mechanistic reasoning that is independent of the generation process and generalizes beyond the Tahoe-100M atlas.

C3one line summary

VCR-Agent uses mechanistic action graphs and verifier-based filtering to autonomously produce verified biological explanations, and training on the resulting VC-TRACES dataset improves factual precision and gene expression prediction.

Receipt and verification
First computed 2026-05-21T01:05:19.017546Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

dc385fb52128df7c78c243381e52b5773a1b78a53ac914fe36f34e5b6849543a

Aliases

arxiv: 2604.11661 · arxiv_version: 2604.11661v3 · doi: 10.48550/arxiv.2604.11661 · pith_short_12: 3Q4F7NJBFDPX · pith_short_16: 3Q4F7NJBFDPXY6GC · pith_short_8: 3Q4F7NJB
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3Q4F7NJBFDPXY6GCIM4B4UVVO4 \
  | 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: dc385fb52128df7c78c243381e52b5773a1b78a53ac914fe36f34e5b6849543a
Canonical record JSON
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      "cs.AI"
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    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-04-13T16:10:44Z",
    "title_canon_sha256": "5c1a0c1236186beafc9239251a4ce6ee0545eec4b92d50194b8326f968f75f83"
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