{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5TA7EX6TEAQ4RPRI45WG52EAR2","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":"2b314948ecc772a14e9577c1a39bd6abc1c3edeeab1d8272860c5576edafb217","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-11T22:01:30Z","title_canon_sha256":"db6c4c58cb15ae2cb882c2c095258313688ffd34e613192cd8502b15decec5b6"},"schema_version":"1.0","source":{"id":"2412.08795","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.08795","created_at":"2026-07-05T10:38:39Z"},{"alias_kind":"arxiv_version","alias_value":"2412.08795v2","created_at":"2026-07-05T10:38:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.08795","created_at":"2026-07-05T10:38:39Z"},{"alias_kind":"pith_short_12","alias_value":"5TA7EX6TEAQ4","created_at":"2026-07-05T10:38:39Z"},{"alias_kind":"pith_short_16","alias_value":"5TA7EX6TEAQ4RPRI","created_at":"2026-07-05T10:38:39Z"},{"alias_kind":"pith_short_8","alias_value":"5TA7EX6T","created_at":"2026-07-05T10:38:39Z"}],"graph_snapshots":[{"event_id":"sha256:6b98420960c106987b0e5ee75322cad9dc23ffed0e90df4cda0eb098589af175","target":"graph","created_at":"2026-07-05T10:38:39Z","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/2412.08795/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Fairness in multi-document summarization (MDS) measures whether a system can generate a summary fairly representing information from documents with different social attribute values. Fairness in MDS is crucial since a fair summary can offer readers a comprehensive view. Previous works focus on quantifying summary-level fairness using Proportional Representation, a fairness measure based on Statistical Parity. However, Proportional Representation does not consider redundancy in input documents and overlooks corpus-level unfairness. In this work, we propose a new summary-level fairness measure, ","authors_text":"Haoyuan Li, Rui Zhang, Snigdha Chaturvedi, Yusen Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-11T22:01:30Z","title":"Coverage-based Fairness in Multi-document Summarization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.08795","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":"sha256:3dd41ee52e15715320fa6f06ac6e76503f1731f205bbd830b4b66038c606d99b","target":"record","created_at":"2026-07-05T10:38:39Z","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":"2b314948ecc772a14e9577c1a39bd6abc1c3edeeab1d8272860c5576edafb217","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-11T22:01:30Z","title_canon_sha256":"db6c4c58cb15ae2cb882c2c095258313688ffd34e613192cd8502b15decec5b6"},"schema_version":"1.0","source":{"id":"2412.08795","kind":"arxiv","version":2}},"canonical_sha256":"ecc1f25fd32021c8be28e76c6ee8808e99048725e9c9144f2388fe1d66dfa2de","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ecc1f25fd32021c8be28e76c6ee8808e99048725e9c9144f2388fe1d66dfa2de","first_computed_at":"2026-07-05T10:38:39.936308Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:38:39.936308Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+LnxVaVBJqMR6bU0GPDuU/LLHqpf+tePuXWVNSpbZyWNGPKHlFf1c/ECPyaz7jUIGGQiF6vb9SAXnnz28v2PBw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:38:39.936795Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.08795","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3dd41ee52e15715320fa6f06ac6e76503f1731f205bbd830b4b66038c606d99b","sha256:6b98420960c106987b0e5ee75322cad9dc23ffed0e90df4cda0eb098589af175"],"state_sha256":"ddd31996390caca29443e6e1cce1c5ab810378bf273354f2c554457f93e61813"}