{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:B57M5B5VVX5TERGW6WRUW3GQXM","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":"3f0dae1edc35dc9a025a8624ffea94735eec386b93eee9d72042cafb14c6c923","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-01T05:14:48Z","title_canon_sha256":"f2cb6c1e6ba2a0eee554a139ef5ffa54e5ed79a08057b145a9fa200dc4e5cc2f"},"schema_version":"1.0","source":{"id":"2410.00409","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.00409","created_at":"2026-07-05T09:14:04Z"},{"alias_kind":"arxiv_version","alias_value":"2410.00409v1","created_at":"2026-07-05T09:14:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.00409","created_at":"2026-07-05T09:14:04Z"},{"alias_kind":"pith_short_12","alias_value":"B57M5B5VVX5T","created_at":"2026-07-05T09:14:04Z"},{"alias_kind":"pith_short_16","alias_value":"B57M5B5VVX5TERGW","created_at":"2026-07-05T09:14:04Z"},{"alias_kind":"pith_short_8","alias_value":"B57M5B5V","created_at":"2026-07-05T09:14:04Z"}],"graph_snapshots":[{"event_id":"sha256:43edc0d9dd3ea4d1fe1a282b0adcb871369a0355e71083e1c35300b43a252da4","target":"graph","created_at":"2026-07-05T09:14:04Z","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/2410.00409/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text summarization tasks commonly employ Pre-trained Language Models (PLMs) to fit diverse standard datasets. While these PLMs excel in automatic evaluations, they frequently underperform in human evaluations, indicating a deviation between their generated summaries and human summarization preferences. This discrepancy is likely due to the low quality of fine-tuning datasets and the limited availability of high-quality human-annotated data that reflect true human preference. To address this challenge, we introduce a novel human summarization preference alignment framework AlignSum. This framew","authors_text":"Kai Yu, Lu Chen, Rui Wang, Yang Han, Yiming Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-01T05:14:48Z","title":"AlignSum: Data Pyramid Hierarchical Fine-tuning for Aligning with Human Summarization Preference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.00409","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:f88ee3dccb2e10d572a874a1ac8e072ab5b63985399183d52272a5cc74f5f4d8","target":"record","created_at":"2026-07-05T09:14:04Z","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":"3f0dae1edc35dc9a025a8624ffea94735eec386b93eee9d72042cafb14c6c923","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-01T05:14:48Z","title_canon_sha256":"f2cb6c1e6ba2a0eee554a139ef5ffa54e5ed79a08057b145a9fa200dc4e5cc2f"},"schema_version":"1.0","source":{"id":"2410.00409","kind":"arxiv","version":1}},"canonical_sha256":"0f7ece87b5adfb3244d6f5a34b6cd0bb02866221e85a94521b9e6d7d3debf30a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0f7ece87b5adfb3244d6f5a34b6cd0bb02866221e85a94521b9e6d7d3debf30a","first_computed_at":"2026-07-05T09:14:04.626278Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:14:04.626278Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RmpMm9Av0lwN4CXnT6kOsF7X0RhAyheHPUbhciObGoW/ccnQBsJoxtgldE2DWGra0LPm2yVfa8ABJkTAV4OSBA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:14:04.626707Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.00409","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f88ee3dccb2e10d572a874a1ac8e072ab5b63985399183d52272a5cc74f5f4d8","sha256:43edc0d9dd3ea4d1fe1a282b0adcb871369a0355e71083e1c35300b43a252da4"],"state_sha256":"0b88ee4db174d3dfa648bb5418653d0f486b2988e7d86bc3c252a86a0e0edc7e"}