{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:PCBLKUP62C2EEK2SC4C6NYBULK","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":"7d462330991afb62c2a49c9a634e21181e67db96639a2cd9d1221e90b980e0f6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2019-09-19T07:36:54Z","title_canon_sha256":"61bfc60785bffe903d556d2b078964e4e7eacbe8bfe8a1d51e0c50e257782904"},"schema_version":"1.0","source":{"id":"1909.08837","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.08837","created_at":"2026-07-05T00:05:38Z"},{"alias_kind":"arxiv_version","alias_value":"1909.08837v1","created_at":"2026-07-05T00:05:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.08837","created_at":"2026-07-05T00:05:38Z"},{"alias_kind":"pith_short_12","alias_value":"PCBLKUP62C2E","created_at":"2026-07-05T00:05:38Z"},{"alias_kind":"pith_short_16","alias_value":"PCBLKUP62C2EEK2S","created_at":"2026-07-05T00:05:38Z"},{"alias_kind":"pith_short_8","alias_value":"PCBLKUP6","created_at":"2026-07-05T00:05:38Z"}],"graph_snapshots":[{"event_id":"sha256:c9a9229dee006513e35190dea0011faf321d551c4acac698c863154bc25647f5","target":"graph","created_at":"2026-07-05T00:05:38Z","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/1909.08837/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Under special circumstances, summaries should conform to a particular style with patterns, such as court judgments and abstracts in academic papers. To this end, the prototype document-summary pairs can be utilized to generate better summaries. There are two main challenges in this task: (1) the model needs to incorporate learned patterns from the prototype, but (2) should avoid copying contents other than the patternized words---such as irrelevant facts---into the generated summaries. To tackle these challenges, we design a model named Prototype Editing based Summary Generator (PESG). PESG fi","authors_text":"Dongyan Zhao, Piji Li, Rui Yan, Shen Gao, Xiuying Chen, Zhangming Chan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2019-09-19T07:36:54Z","title":"How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.08837","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":"sha256:7da0b4668f6147dacda38d86720ea19ee92c906e881c59e568e5735ee29387c7","target":"record","created_at":"2026-07-05T00:05:38Z","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":"7d462330991afb62c2a49c9a634e21181e67db96639a2cd9d1221e90b980e0f6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2019-09-19T07:36:54Z","title_canon_sha256":"61bfc60785bffe903d556d2b078964e4e7eacbe8bfe8a1d51e0c50e257782904"},"schema_version":"1.0","source":{"id":"1909.08837","kind":"arxiv","version":1}},"canonical_sha256":"7882b551fed0b4422b521705e6e0345a81e9af3aa4644d0d7d5b40bd5c5d68cd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7882b551fed0b4422b521705e6e0345a81e9af3aa4644d0d7d5b40bd5c5d68cd","first_computed_at":"2026-07-05T00:05:38.194426Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:05:38.194426Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5Y24Q226TYQ9BNBgwT+XSpjOJg6oOqombOTBkWMvN9DqxjuSZkdS90ljIIGyXHwtG4KpXgZmC+n6ll0pOzV7CA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:05:38.194826Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.08837","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7da0b4668f6147dacda38d86720ea19ee92c906e881c59e568e5735ee29387c7","sha256:c9a9229dee006513e35190dea0011faf321d551c4acac698c863154bc25647f5"],"state_sha256":"44fa24da9bd1152ff858da504eed4b2c614e6b44676b14fd6fbef987e99f837b"}