pith:3Q4F7NJB
Towards Autonomous Mechanistic Reasoning in Virtual Cells
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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Record completeness
Claims
training with these explanations improves factual precision and provides a more effective supervision signal for downstream gene expression prediction
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.
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
· · · · ·Agent API
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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