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pith:2026:BYP3EDXS64SMWB6ENJ7UJJ2HWR
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Grounding Multi-Hop Reasoning in Structural Causal Models via Group Relative Policy Optimization

Askar Hamdulla, Baohua Zhang, Chunxiao Gao, Guotong Geng, Huaping Zhang, Juan Wang, Qiuchi Li, Quan Zhang, Shuai Lei, Yunbo Cao, Yunhan Bu, Zhunchen Luo

Grounding multi-hop fact verification in a structural causal model and optimizing it with group relative policy optimization yields more accurate and less hallucinated reasoning than standard chain-of-thought methods.

arxiv:2605.01482 v3 · 2026-05-02 · cs.AI

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

Extensive experiments on HoVer and EX-FEVER demonstrate that our SCM-GRPO framework significantly outperforms state-of-the-art baselines, offering a reliable and interpretable solution for complex fact verification.

C2weakest assumption

That explicitly modeling verification as a constructive causal inference process inside a structural causal model will produce more accurate and less hallucinated reasoning chains than standard chain-of-thought methods without introducing new modeling errors.

C3one line summary

SCM-GRPO grounds multi-hop fact verification in structural causal models and applies GRPO reinforcement learning to optimize reasoning chain length, outperforming baselines on HoVer and EX-FEVER.

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Receipt and verification
First computed 2026-06-24T01:14:28.376907Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

0e1fb20ef2f724cb07c46a7f44a747b467c87bb76afa580c953c19e8ef98f707

Aliases

arxiv: 2605.01482 · arxiv_version: 2605.01482v3 · doi: 10.48550/arxiv.2605.01482 · pith_short_12: BYP3EDXS64SM · pith_short_16: BYP3EDXS64SMWB6E · pith_short_8: BYP3EDXS
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/BYP3EDXS64SMWB6ENJ7UJJ2HWR \
  | 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: 0e1fb20ef2f724cb07c46a7f44a747b467c87bb76afa580c953c19e8ef98f707
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-02T15:05:38Z",
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