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Pith Number

pith:CE6LIWYB

pith:2026:CE6LIWYBMIFM7PI2V6ETDPDZMB
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CECOR: Correction-oriented synthetic data construction for factual error correction

Chenyang Wang, Dongxiao He, Jianbiao Yang, Jianwu Dang, Lei Zhu, Longbiao Wang, Xiaobao Wang

CECoR corrects multi-hop factual errors by decomposing claims into steps and injecting perturbations to synthesize training data.

arxiv:2605.02277 v2 · 2026-05-04 · cs.CL

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\pithnumber{CE6LIWYBMIFM7PI2V6ETDPDZMB}

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Record completeness

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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

CECoR achieves strong performance on multi-hop benchmarks, outperforming both distantly supervised methods and few-shot LLM baselines. It also generalizes effectively to single-hop correction and remains stable under noisy evidence.

C2weakest assumption

The assumption that controlled perturbations injected after decomposition produce high-quality, realistic training pairs that faithfully represent the distribution of real semantic errors in multi-hop claims.

C3one line summary

CECoR decomposes multi-hop claims into steps, synthesizes training pairs via perturbation injection, and uses supervised fine-tuning plus reinforcement learning to improve factual error correction on multi-hop benchmarks.

Formal links

1 machine-checked theorem link

Receipt and verification
First computed 2026-06-02T02:04:53.579437Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

113cb45b01620acfbd1aaf8931bc79604c2d83be9745d1935460fb65dad62e74

Aliases

arxiv: 2605.02277 · arxiv_version: 2605.02277v2 · doi: 10.48550/arxiv.2605.02277 · pith_short_12: CE6LIWYBMIFM · pith_short_16: CE6LIWYBMIFM7PI2 · pith_short_8: CE6LIWYB
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CE6LIWYBMIFM7PI2V6ETDPDZMB \
  | 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: 113cb45b01620acfbd1aaf8931bc79604c2d83be9745d1935460fb65dad62e74
Canonical record JSON
{
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    "abstract_canon_sha256": "b3d6615f3f3ecee411e4f0a24bd5bfe84e375cb617d288a959d7b9ad1b782667",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2026-05-04T07:08:39Z",
    "title_canon_sha256": "82a49f3fe6cf22be91b5d2f94797fb65fc2ec2b098a05d920a1783b3ac9b56e1"
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  "source": {
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    "kind": "arxiv",
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