{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:OPA7IY7Z3IHVT5LRK5OOOVS3TE","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":"4552a29484cb77cd0396eca7a5c5c84a3dc3069a2206571cb98e8e12e196f474","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-04T19:52:09Z","title_canon_sha256":"c1997984517525fc18802ac4e1d6eb0c3f511398774ef5b728761322943b3e9d"},"schema_version":"1.0","source":{"id":"2210.01877","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.01877","created_at":"2026-07-05T05:03:40Z"},{"alias_kind":"arxiv_version","alias_value":"2210.01877v1","created_at":"2026-07-05T05:03:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.01877","created_at":"2026-07-05T05:03:40Z"},{"alias_kind":"pith_short_12","alias_value":"OPA7IY7Z3IHV","created_at":"2026-07-05T05:03:40Z"},{"alias_kind":"pith_short_16","alias_value":"OPA7IY7Z3IHVT5LR","created_at":"2026-07-05T05:03:40Z"},{"alias_kind":"pith_short_8","alias_value":"OPA7IY7Z","created_at":"2026-07-05T05:03:40Z"}],"graph_snapshots":[{"event_id":"sha256:778aa0cc53087f32c4c7c0037df6c41cfc86a69b7cc2b84e7fd7a2ace328bb55","target":"graph","created_at":"2026-07-05T05:03:40Z","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/2210.01877/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite the success achieved in neural abstractive summarization based on pre-trained language models, one unresolved issue is that the generated summaries are not always faithful to the input document. There are two possible causes of the unfaithfulness problem: (1) the summarization model fails to understand or capture the gist of the input text, and (2) the model over-relies on the language model to generate fluent but inadequate words. In this work, we propose a Faithfulness Enhanced Summarization model (FES), which is designed for addressing these two problems and improving faithfulness i","authors_text":"Mingzhe Li, Xiangliang Zhang, Xin Gao, Xiuying Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-04T19:52:09Z","title":"Towards Improving Faithfulness in Abstractive Summarization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.01877","kind":"arxiv","version":1},"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":"sha256:40402d5d240d3555b504a4702a5846600870b81d8ae439d197e4e9040847edfe","target":"record","created_at":"2026-07-05T05:03:40Z","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":"4552a29484cb77cd0396eca7a5c5c84a3dc3069a2206571cb98e8e12e196f474","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-04T19:52:09Z","title_canon_sha256":"c1997984517525fc18802ac4e1d6eb0c3f511398774ef5b728761322943b3e9d"},"schema_version":"1.0","source":{"id":"2210.01877","kind":"arxiv","version":1}},"canonical_sha256":"73c1f463f9da0f59f571575ce7565b9932f76016e232f5c2e822f88d06b856d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"73c1f463f9da0f59f571575ce7565b9932f76016e232f5c2e822f88d06b856d9","first_computed_at":"2026-07-05T05:03:40.889355Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:03:40.889355Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+n6CCscKNfj/FTwq/yXCB4wrMr0fnMxzw79HHAIwrw3rKZ6EySkWmn4Mxh+Zub8gG6QZVxXClQipbMxn3BI8Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:03:40.889750Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.01877","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:40402d5d240d3555b504a4702a5846600870b81d8ae439d197e4e9040847edfe","sha256:778aa0cc53087f32c4c7c0037df6c41cfc86a69b7cc2b84e7fd7a2ace328bb55"],"state_sha256":"e3e6dfc1d424500ff9829d9e514b4cb5b15dccc1890f0f79169f656c44ddb30b"}