{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:ONTGOQUEF4NUIBPU4R3TFIBYEX","short_pith_number":"pith:ONTGOQUE","canonical_record":{"source":{"id":"1906.03508","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-08T19:27:31Z","cross_cats_sorted":[],"title_canon_sha256":"67223f1b7c0d98f538ac48b53aa16e189fed1c2459e58e92e1c0002ebfda8075","abstract_canon_sha256":"ec13e02d314ffe7c6c5e1e647b6bbdda7c73690d823758eb55232982e64854e3"},"schema_version":"1.0"},"canonical_sha256":"73666742842f1b4405f4e47732a03825c4ad96541513c14a01d9d9c4c2d8f31b","source":{"kind":"arxiv","id":"1906.03508","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.03508","created_at":"2026-05-17T23:43:48Z"},{"alias_kind":"arxiv_version","alias_value":"1906.03508v1","created_at":"2026-05-17T23:43:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.03508","created_at":"2026-05-17T23:43:48Z"},{"alias_kind":"pith_short_12","alias_value":"ONTGOQUEF4NU","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"ONTGOQUEF4NUIBPU","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"ONTGOQUE","created_at":"2026-05-18T12:33:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:ONTGOQUEF4NUIBPU4R3TFIBYEX","target":"record","payload":{"canonical_record":{"source":{"id":"1906.03508","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-08T19:27:31Z","cross_cats_sorted":[],"title_canon_sha256":"67223f1b7c0d98f538ac48b53aa16e189fed1c2459e58e92e1c0002ebfda8075","abstract_canon_sha256":"ec13e02d314ffe7c6c5e1e647b6bbdda7c73690d823758eb55232982e64854e3"},"schema_version":"1.0"},"canonical_sha256":"73666742842f1b4405f4e47732a03825c4ad96541513c14a01d9d9c4c2d8f31b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:48.254128Z","signature_b64":"NLz96uO4h+bYdrzw0xGQu5lbl+xj0S5eRP80WT4xxDbO4XFVuhFyeEl0IvC/wR/T6faiwbvx+LXzkJtkOILnAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"73666742842f1b4405f4e47732a03825c4ad96541513c14a01d9d9c4c2d8f31b","last_reissued_at":"2026-05-17T23:43:48.253686Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:48.253686Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.03508","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:43:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PwjnPJIw+cpvyryNzuQiUZ7mMUoeGnNM0WlIEbED8rcqhhU30rUjh28v2Sv8pReRvjTqjHLWr2stU8ilGlSWAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T09:12:05.575435Z"},"content_sha256":"804a751de568177fc7a168f79408196f9a9dc811d0f192b15b64ed5ff5ab2f2e","schema_version":"1.0","event_id":"sha256:804a751de568177fc7a168f79408196f9a9dc811d0f192b15b64ed5ff5ab2f2e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:ONTGOQUEF4NUIBPU4R3TFIBYEX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sentence Centrality Revisited for Unsupervised Summarization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Hao Zheng, Mirella Lapata","submitted_at":"2019-06-08T19:27:31Z","abstract_excerpt":"Single document summarization has enjoyed renewed interests in recent years thanks to the popularity of neural network models and the availability of large-scale datasets. In this paper we develop an unsupervised approach arguing that it is unrealistic to expect large-scale and high-quality training data to be available or created for different types of summaries, domains, or languages. We revisit a popular graph-based ranking algorithm and modify how node (aka sentence) centrality is computed in two ways: (a)~we employ BERT, a state-of-the-art neural representation learning model to better ca"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.03508","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:43:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dkzidIq7j6mi1Lr1l88b1cnsxdy6BxRMTVEZZciM6MQAqV0d9j+vTW+xk8clG+vLxZ5XyUZ7jf9StfR28kqhBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T09:12:05.575728Z"},"content_sha256":"7d5e467e9417f0d58484ed2deb26a4467817999a4c80f49fe34a0be5cfec834b","schema_version":"1.0","event_id":"sha256:7d5e467e9417f0d58484ed2deb26a4467817999a4c80f49fe34a0be5cfec834b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ONTGOQUEF4NUIBPU4R3TFIBYEX/bundle.json","state_url":"https://pith.science/pith/ONTGOQUEF4NUIBPU4R3TFIBYEX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ONTGOQUEF4NUIBPU4R3TFIBYEX/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-20T09:12:05Z","links":{"resolver":"https://pith.science/pith/ONTGOQUEF4NUIBPU4R3TFIBYEX","bundle":"https://pith.science/pith/ONTGOQUEF4NUIBPU4R3TFIBYEX/bundle.json","state":"https://pith.science/pith/ONTGOQUEF4NUIBPU4R3TFIBYEX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ONTGOQUEF4NUIBPU4R3TFIBYEX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:ONTGOQUEF4NUIBPU4R3TFIBYEX","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":"ec13e02d314ffe7c6c5e1e647b6bbdda7c73690d823758eb55232982e64854e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-08T19:27:31Z","title_canon_sha256":"67223f1b7c0d98f538ac48b53aa16e189fed1c2459e58e92e1c0002ebfda8075"},"schema_version":"1.0","source":{"id":"1906.03508","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.03508","created_at":"2026-05-17T23:43:48Z"},{"alias_kind":"arxiv_version","alias_value":"1906.03508v1","created_at":"2026-05-17T23:43:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.03508","created_at":"2026-05-17T23:43:48Z"},{"alias_kind":"pith_short_12","alias_value":"ONTGOQUEF4NU","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"ONTGOQUEF4NUIBPU","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"ONTGOQUE","created_at":"2026-05-18T12:33:24Z"}],"graph_snapshots":[{"event_id":"sha256:7d5e467e9417f0d58484ed2deb26a4467817999a4c80f49fe34a0be5cfec834b","target":"graph","created_at":"2026-05-17T23:43:48Z","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"},"paper":{"abstract_excerpt":"Single document summarization has enjoyed renewed interests in recent years thanks to the popularity of neural network models and the availability of large-scale datasets. In this paper we develop an unsupervised approach arguing that it is unrealistic to expect large-scale and high-quality training data to be available or created for different types of summaries, domains, or languages. We revisit a popular graph-based ranking algorithm and modify how node (aka sentence) centrality is computed in two ways: (a)~we employ BERT, a state-of-the-art neural representation learning model to better ca","authors_text":"Hao Zheng, Mirella Lapata","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-08T19:27:31Z","title":"Sentence Centrality Revisited for Unsupervised Summarization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.03508","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":"sha256:804a751de568177fc7a168f79408196f9a9dc811d0f192b15b64ed5ff5ab2f2e","target":"record","created_at":"2026-05-17T23:43:48Z","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":"ec13e02d314ffe7c6c5e1e647b6bbdda7c73690d823758eb55232982e64854e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-08T19:27:31Z","title_canon_sha256":"67223f1b7c0d98f538ac48b53aa16e189fed1c2459e58e92e1c0002ebfda8075"},"schema_version":"1.0","source":{"id":"1906.03508","kind":"arxiv","version":1}},"canonical_sha256":"73666742842f1b4405f4e47732a03825c4ad96541513c14a01d9d9c4c2d8f31b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"73666742842f1b4405f4e47732a03825c4ad96541513c14a01d9d9c4c2d8f31b","first_computed_at":"2026-05-17T23:43:48.253686Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:43:48.253686Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NLz96uO4h+bYdrzw0xGQu5lbl+xj0S5eRP80WT4xxDbO4XFVuhFyeEl0IvC/wR/T6faiwbvx+LXzkJtkOILnAw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:43:48.254128Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.03508","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:804a751de568177fc7a168f79408196f9a9dc811d0f192b15b64ed5ff5ab2f2e","sha256:7d5e467e9417f0d58484ed2deb26a4467817999a4c80f49fe34a0be5cfec834b"],"state_sha256":"81c90bd6cb72d4cc48b909f72d82c387f57d03740a927c44aae5bad7eeccecf2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"156Pac77mqwtwmgHsFUl6v8nuDeTpjRNZfgAwfb/Pw1hljtrCTWGaDZ40mbAKahZG0nVXM9reImIaC+Cr/iUDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T09:12:05.578833Z","bundle_sha256":"01d80d37e47ce26c1873109bf6831b0bbbc71d071b6a9b4e003490cd765618f5"}}