{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:3L4WZ7YLYGAQILLQ3E26AFWEA3","short_pith_number":"pith:3L4WZ7YL","canonical_record":{"source":{"id":"2402.17311","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-27T08:33:31Z","cross_cats_sorted":[],"title_canon_sha256":"629bd124f7c14315cec830ea765951f6214ee36f46db568435819255e4f195c3","abstract_canon_sha256":"b2b846d199a3d35b2031228d00048e5d92e8781d60d72f4c63a25237e609659d"},"schema_version":"1.0"},"canonical_sha256":"daf96cff0bc181042d70d935e016c406cffc9668068a2847b47bf08f46f85256","source":{"kind":"arxiv","id":"2402.17311","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.17311","created_at":"2026-07-05T09:12:26Z"},{"alias_kind":"arxiv_version","alias_value":"2402.17311v2","created_at":"2026-07-05T09:12:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.17311","created_at":"2026-07-05T09:12:26Z"},{"alias_kind":"pith_short_12","alias_value":"3L4WZ7YLYGAQ","created_at":"2026-07-05T09:12:26Z"},{"alias_kind":"pith_short_16","alias_value":"3L4WZ7YLYGAQILLQ","created_at":"2026-07-05T09:12:26Z"},{"alias_kind":"pith_short_8","alias_value":"3L4WZ7YL","created_at":"2026-07-05T09:12:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:3L4WZ7YLYGAQILLQ3E26AFWEA3","target":"record","payload":{"canonical_record":{"source":{"id":"2402.17311","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-27T08:33:31Z","cross_cats_sorted":[],"title_canon_sha256":"629bd124f7c14315cec830ea765951f6214ee36f46db568435819255e4f195c3","abstract_canon_sha256":"b2b846d199a3d35b2031228d00048e5d92e8781d60d72f4c63a25237e609659d"},"schema_version":"1.0"},"canonical_sha256":"daf96cff0bc181042d70d935e016c406cffc9668068a2847b47bf08f46f85256","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:12:26.072734Z","signature_b64":"f/mfXfTeS/PgSYt184tE+b0Y3hzTSp4d2kAE0iOPItoH8g+0rWvdBaAUoiPWqAqYAr26eHl+kwCMoPYqSqkkAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"daf96cff0bc181042d70d935e016c406cffc9668068a2847b47bf08f46f85256","last_reissued_at":"2026-07-05T09:12:26.072241Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:12:26.072241Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.17311","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:12:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oN/tG6dQWdEYDxB85pzRufXpi8hr1iZfK0ecvRS0HR/VX4men35vqR8aZi2RWuY9SHuh8G+epvdQ4ziIp4JZBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T14:09:12.264504Z"},"content_sha256":"1631b149908de7b80e3cd50915be4e76f197befee79333fda52bb9cc48e34229","schema_version":"1.0","event_id":"sha256:1631b149908de7b80e3cd50915be4e76f197befee79333fda52bb9cc48e34229"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:3L4WZ7YLYGAQILLQ3E26AFWEA3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SKT5SciSumm -- Revisiting Extractive-Generative Approach for Multi-Document Scientific Summarization","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Akiko Aizawa, Andr'e Greiner-Petter, Felix Beierle, Guangyan Huang, Hung-Nghiep Tran, Huy Quoc To, Ming Liu","submitted_at":"2024-02-27T08:33:31Z","abstract_excerpt":"Summarization for scientific text has shown significant benefits both for the research community and human society. Given the fact that the nature of scientific text is distinctive and the input of the multi-document summarization task is substantially long, the task requires sufficient embedding generation and text truncation without losing important information. To tackle these issues, in this paper, we propose SKT5SciSumm - a hybrid framework for multi-document scientific summarization (MDSS). We leverage the Sentence-Transformer version of Scientific Paper Embeddings using Citation-Informe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.17311","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2402.17311/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T09:12:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QW+bUfEvDqcufY3si5FZjm06Qif7BidDe/1CWa7pJJSyXyt1ll75mhixg3/cMIubjgf4WpPqUm2Hz7hAnq/MCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T14:09:12.265023Z"},"content_sha256":"ad8b26f8be8f5b87e96dab5dcd58b034306076e7a8ef60867b5a2fe2224d559a","schema_version":"1.0","event_id":"sha256:ad8b26f8be8f5b87e96dab5dcd58b034306076e7a8ef60867b5a2fe2224d559a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3L4WZ7YLYGAQILLQ3E26AFWEA3/bundle.json","state_url":"https://pith.science/pith/3L4WZ7YLYGAQILLQ3E26AFWEA3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3L4WZ7YLYGAQILLQ3E26AFWEA3/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":"2026-08-19T14:09:12Z","links":{"resolver":"https://pith.science/pith/3L4WZ7YLYGAQILLQ3E26AFWEA3","bundle":"https://pith.science/pith/3L4WZ7YLYGAQILLQ3E26AFWEA3/bundle.json","state":"https://pith.science/pith/3L4WZ7YLYGAQILLQ3E26AFWEA3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3L4WZ7YLYGAQILLQ3E26AFWEA3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3L4WZ7YLYGAQILLQ3E26AFWEA3","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":"b2b846d199a3d35b2031228d00048e5d92e8781d60d72f4c63a25237e609659d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-27T08:33:31Z","title_canon_sha256":"629bd124f7c14315cec830ea765951f6214ee36f46db568435819255e4f195c3"},"schema_version":"1.0","source":{"id":"2402.17311","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.17311","created_at":"2026-07-05T09:12:26Z"},{"alias_kind":"arxiv_version","alias_value":"2402.17311v2","created_at":"2026-07-05T09:12:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.17311","created_at":"2026-07-05T09:12:26Z"},{"alias_kind":"pith_short_12","alias_value":"3L4WZ7YLYGAQ","created_at":"2026-07-05T09:12:26Z"},{"alias_kind":"pith_short_16","alias_value":"3L4WZ7YLYGAQILLQ","created_at":"2026-07-05T09:12:26Z"},{"alias_kind":"pith_short_8","alias_value":"3L4WZ7YL","created_at":"2026-07-05T09:12:26Z"}],"graph_snapshots":[{"event_id":"sha256:ad8b26f8be8f5b87e96dab5dcd58b034306076e7a8ef60867b5a2fe2224d559a","target":"graph","created_at":"2026-07-05T09:12:26Z","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/2402.17311/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Summarization for scientific text has shown significant benefits both for the research community and human society. Given the fact that the nature of scientific text is distinctive and the input of the multi-document summarization task is substantially long, the task requires sufficient embedding generation and text truncation without losing important information. To tackle these issues, in this paper, we propose SKT5SciSumm - a hybrid framework for multi-document scientific summarization (MDSS). We leverage the Sentence-Transformer version of Scientific Paper Embeddings using Citation-Informe","authors_text":"Akiko Aizawa, Andr'e Greiner-Petter, Felix Beierle, Guangyan Huang, Hung-Nghiep Tran, Huy Quoc To, Ming Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-27T08:33:31Z","title":"SKT5SciSumm -- Revisiting Extractive-Generative Approach for Multi-Document Scientific Summarization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.17311","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":"sha256:1631b149908de7b80e3cd50915be4e76f197befee79333fda52bb9cc48e34229","target":"record","created_at":"2026-07-05T09:12:26Z","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":"b2b846d199a3d35b2031228d00048e5d92e8781d60d72f4c63a25237e609659d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-27T08:33:31Z","title_canon_sha256":"629bd124f7c14315cec830ea765951f6214ee36f46db568435819255e4f195c3"},"schema_version":"1.0","source":{"id":"2402.17311","kind":"arxiv","version":2}},"canonical_sha256":"daf96cff0bc181042d70d935e016c406cffc9668068a2847b47bf08f46f85256","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"daf96cff0bc181042d70d935e016c406cffc9668068a2847b47bf08f46f85256","first_computed_at":"2026-07-05T09:12:26.072241Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:12:26.072241Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f/mfXfTeS/PgSYt184tE+b0Y3hzTSp4d2kAE0iOPItoH8g+0rWvdBaAUoiPWqAqYAr26eHl+kwCMoPYqSqkkAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:12:26.072734Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.17311","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1631b149908de7b80e3cd50915be4e76f197befee79333fda52bb9cc48e34229","sha256:ad8b26f8be8f5b87e96dab5dcd58b034306076e7a8ef60867b5a2fe2224d559a"],"state_sha256":"0a5cbf948822e35733c675e57a36d5b70ddd62d9ceb822b7184d9051ab00d464"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wJl0WboxLKzKADul8XAop/aRf77l15QhO/X37eQrnSIJ8ORbSAAFs+GxqEwMSK6utOlDU072/H/AiVspMyCADQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T14:09:12.270426Z","bundle_sha256":"fc4b92ec451d5987f352fb263d313e64167880dadaab9af9139720a3e3b7fb34"}}