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pith:6I7ZAYPA

pith:2026:6I7ZAYPAQKA3YLBMWLBYBFQ6CU
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MolClaw: An Autonomous Agent with Hierarchical Skills for Drug Molecule Evaluation, Screening, and Optimization

Bowen Zhou, Haoran Sun, Haoyang Su, Lei Bai, Lilong Wang, Lisheng Zhang, Qikui Yang, Qingsong Li, Wei Tang, Wenjie Lou, Xiangyu Sun, Xiaosong Wang, Yankai Jiang, Yingnan Han, Yuehui Qian, Zhengwei Xie, Zhenyu Tang

A three-tier hierarchical skill architecture lets an AI agent reliably handle complex multi-step drug molecule workflows.

arxiv:2604.21937 v2 · 2026-04-02 · cs.AI · cs.MA

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Claims

C1strongest claim

MolClaw achieves state-of-the-art performance across all metrics on MolBench, and ablation studies confirm that gains concentrate on tasks that demand structured workflows while vanishing on those solvable with ad hoc scripting.

C2weakest assumption

That the three-tier hierarchical skill architecture is the primary driver of improved performance rather than other factors such as prompt engineering, tool selection, or benchmark-specific tuning.

C3one line summary

MolClaw deploys a hierarchical skill system (tool, workflow, and discipline levels) to achieve state-of-the-art results on MolBench tasks requiring 8 to 50+ sequential tool calls in drug discovery.

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First computed 2026-05-20T00:03:12.454658Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

f23f9061e08281bc2c2cb2c380961e150a5bfe9d1298e04139705c1685f2cdaa

Aliases

arxiv: 2604.21937 · arxiv_version: 2604.21937v2 · doi: 10.48550/arxiv.2604.21937 · pith_short_12: 6I7ZAYPAQKA3 · pith_short_16: 6I7ZAYPAQKA3YLBM · pith_short_8: 6I7ZAYPA
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/6I7ZAYPAQKA3YLBMWLBYBFQ6CU \
  | 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: f23f9061e08281bc2c2cb2c380961e150a5bfe9d1298e04139705c1685f2cdaa
Canonical record JSON
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