{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZNKZWHNHO3NNF73KQWGRRYXWRC","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"cec502b12160509dd6370c674bf0267e1020751f218bfa209e466e807fda5b57","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-02T13:15:07Z","title_canon_sha256":"d020e685f409a0f94de4c8355a70db75f9b16a0b9da4f68805e799693dbd3745"},"schema_version":"1.0","source":{"id":"2404.01921","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.01921","created_at":"2026-07-05T08:16:48Z"},{"alias_kind":"arxiv_version","alias_value":"2404.01921v2","created_at":"2026-07-05T08:16:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.01921","created_at":"2026-07-05T08:16:48Z"},{"alias_kind":"pith_short_12","alias_value":"ZNKZWHNHO3NN","created_at":"2026-07-05T08:16:48Z"},{"alias_kind":"pith_short_16","alias_value":"ZNKZWHNHO3NNF73K","created_at":"2026-07-05T08:16:48Z"},{"alias_kind":"pith_short_8","alias_value":"ZNKZWHNH","created_at":"2026-07-05T08:16:48Z"}],"graph_snapshots":[{"event_id":"sha256:e5f52e31451d8392264a82a715896358663d34ed4c5dbd8c0148b51bf0ee16df","target":"graph","created_at":"2026-07-05T08:16:48Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2404.01921/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Based on Pre-trained Language Models (PLMs), event coreference resolution (ECR) systems have demonstrated outstanding performance in clustering coreferential events across documents. However, the existing system exhibits an excessive reliance on the `triggers lexical matching' spurious pattern in the input mention pair text. We formalize the decision-making process of the baseline ECR system using a Structural Causal Model (SCM), aiming to identify spurious and causal associations (i.e., rationales) within the ECR task. Leveraging the debiasing capability of counterfactual data augmentation, w","authors_text":"Bowen Ding, Linyi Yang, Qingkai Min, Shengkun Ma, Yingjie Li, Yue Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-02T13:15:07Z","title":"A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.01921","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:4196886ff5977275239b6554cbf800c8576dadd1f7c07c0bfb7c0fa665b6c98c","target":"record","created_at":"2026-07-05T08:16:48Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"cec502b12160509dd6370c674bf0267e1020751f218bfa209e466e807fda5b57","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-02T13:15:07Z","title_canon_sha256":"d020e685f409a0f94de4c8355a70db75f9b16a0b9da4f68805e799693dbd3745"},"schema_version":"1.0","source":{"id":"2404.01921","kind":"arxiv","version":2}},"canonical_sha256":"cb559b1da776dad2ff6a858d18e2f688b5359a702435bbd09c6c4992627da99d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cb559b1da776dad2ff6a858d18e2f688b5359a702435bbd09c6c4992627da99d","first_computed_at":"2026-07-05T08:16:48.627480Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:16:48.627480Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"89Sf4la8x7awUfAq6b/myvq7+LYg5uXr0ExBrgUYqBkXTnId5a831xReTJBl1jbi8yDE817e2+zY+LjNOzaoAw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:16:48.627938Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.01921","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4196886ff5977275239b6554cbf800c8576dadd1f7c07c0bfb7c0fa665b6c98c","sha256:e5f52e31451d8392264a82a715896358663d34ed4c5dbd8c0148b51bf0ee16df"],"state_sha256":"c77d29644b8fae211bd794c18eda32950c7339e8b84c2b83d097fc83f47824ab"}