{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:2MYKRNTGHMLZVSTQ5D5KVPFWLK","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":"16d7ab99261db953db6ab5194a57b77f461c636c6cc3193b52743b621de243bb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-03-19T07:36:10Z","title_canon_sha256":"f5827221ee86573c6ab50ed135358c24bff348a5b74a11cd1ae5428f5fdb8ed1"},"schema_version":"1.0","source":{"id":"2003.08612","kind":"arxiv","version":8}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.08612","created_at":"2026-07-05T02:22:35Z"},{"alias_kind":"arxiv_version","alias_value":"2003.08612v8","created_at":"2026-07-05T02:22:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.08612","created_at":"2026-07-05T02:22:35Z"},{"alias_kind":"pith_short_12","alias_value":"2MYKRNTGHMLZ","created_at":"2026-07-05T02:22:35Z"},{"alias_kind":"pith_short_16","alias_value":"2MYKRNTGHMLZVSTQ","created_at":"2026-07-05T02:22:35Z"},{"alias_kind":"pith_short_8","alias_value":"2MYKRNTG","created_at":"2026-07-05T02:22:35Z"}],"graph_snapshots":[{"event_id":"sha256:1e613f9dc33cbfc291e558ee2b18eeef9536647242f3c32fd77be3433ad7578a","target":"graph","created_at":"2026-07-05T02:22:35Z","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/2003.08612/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automatic abstractive summaries are found to often distort or fabricate facts in the article. This inconsistency between summary and original text has seriously impacted its applicability. We propose a fact-aware summarization model FASum to extract and integrate factual relations into the summary generation process via graph attention. We then design a factual corrector model FC to automatically correct factual errors from summaries generated by existing systems. Empirical results show that the fact-aware summarization can produce abstractive summaries with higher factual consistency compared","authors_text":"Chenguang Zhu, Meng Jiang, Michael Zeng, Qingkai Zeng, Ruochen Xu, William Hinthorn, Xuedong Huang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-03-19T07:36:10Z","title":"Enhancing Factual Consistency of Abstractive Summarization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.08612","kind":"arxiv","version":8},"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":"sha256:655fbeb50f3f95b5b07d6b8eb465aac487122db77a212b95a95b26eceb6e502c","target":"record","created_at":"2026-07-05T02:22:35Z","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":"16d7ab99261db953db6ab5194a57b77f461c636c6cc3193b52743b621de243bb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-03-19T07:36:10Z","title_canon_sha256":"f5827221ee86573c6ab50ed135358c24bff348a5b74a11cd1ae5428f5fdb8ed1"},"schema_version":"1.0","source":{"id":"2003.08612","kind":"arxiv","version":8}},"canonical_sha256":"d330a8b6663b179aca70e8faaabcb65ab6054d468a9b1bf95a18b6ea4ff4d51e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d330a8b6663b179aca70e8faaabcb65ab6054d468a9b1bf95a18b6ea4ff4d51e","first_computed_at":"2026-07-05T02:22:35.447734Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:22:35.447734Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fJpoV4mFdfGo8pIvqU62wZLxmNdfA3aAmImPSPSk1ukJLIDuXaKNUdW8LCOLvzfaXKPpvEzByuz8NMLHb4jlDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:22:35.448175Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.08612","source_kind":"arxiv","source_version":8}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:655fbeb50f3f95b5b07d6b8eb465aac487122db77a212b95a95b26eceb6e502c","sha256:1e613f9dc33cbfc291e558ee2b18eeef9536647242f3c32fd77be3433ad7578a"],"state_sha256":"5a44067141789b962485b206dfb050b52ebea711eb83077486612622612a3d35"}