{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:RW6V3HHWF4USL5GGX7A5YL2YSO","short_pith_number":"pith:RW6V3HHW","canonical_record":{"source":{"id":"2211.09039","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-16T16:53:13Z","cross_cats_sorted":[],"title_canon_sha256":"4716e19e12d223f4cde605f2040c02b34ac1d1fe0b360a725b0daef1b126ede4","abstract_canon_sha256":"fc2070f8c954b882b03e7fee1e81d94a9b1e12a68991f229df67b07b2156ccd5"},"schema_version":"1.0"},"canonical_sha256":"8dbd5d9cf62f2925f4c6bfc1dc2f5893ac9684f9ba910186453451fa4807d545","source":{"kind":"arxiv","id":"2211.09039","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.09039","created_at":"2026-07-05T05:16:46Z"},{"alias_kind":"arxiv_version","alias_value":"2211.09039v1","created_at":"2026-07-05T05:16:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.09039","created_at":"2026-07-05T05:16:46Z"},{"alias_kind":"pith_short_12","alias_value":"RW6V3HHWF4US","created_at":"2026-07-05T05:16:46Z"},{"alias_kind":"pith_short_16","alias_value":"RW6V3HHWF4USL5GG","created_at":"2026-07-05T05:16:46Z"},{"alias_kind":"pith_short_8","alias_value":"RW6V3HHW","created_at":"2026-07-05T05:16:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:RW6V3HHWF4USL5GGX7A5YL2YSO","target":"record","payload":{"canonical_record":{"source":{"id":"2211.09039","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-16T16:53:13Z","cross_cats_sorted":[],"title_canon_sha256":"4716e19e12d223f4cde605f2040c02b34ac1d1fe0b360a725b0daef1b126ede4","abstract_canon_sha256":"fc2070f8c954b882b03e7fee1e81d94a9b1e12a68991f229df67b07b2156ccd5"},"schema_version":"1.0"},"canonical_sha256":"8dbd5d9cf62f2925f4c6bfc1dc2f5893ac9684f9ba910186453451fa4807d545","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:16:46.898627Z","signature_b64":"SWeep9N4ZKkiVvBU1WRTWSYMviwVOKhvxObw60w+QPra1LYSWkVSeveZTpCGnU6FxlmY+FmDh4dZdrA6mXd5BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8dbd5d9cf62f2925f4c6bfc1dc2f5893ac9684f9ba910186453451fa4807d545","last_reissued_at":"2026-07-05T05:16:46.898126Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:16:46.898126Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.09039","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":"2026-07-05T05:16:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gfGxYauALbS6hKQPX8K9JyK+WS286WZ5TbC07jJa8hpFK9W9qodNa8luBk6LE/o+N2tENOWzUwCM61JhLH57DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T18:29:12.260870Z"},"content_sha256":"e3dc7dd3222bcb22a98d26342edf567948190816f9d8fb915a1c0cbe9a1754a3","schema_version":"1.0","event_id":"sha256:e3dc7dd3222bcb22a98d26342edf567948190816f9d8fb915a1c0cbe9a1754a3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:RW6V3HHWF4USL5GGX7A5YL2YSO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Benfeng Xu, Haiyong Xie, Wei Tang, Yifeng Liu, Yong Liao, Yuyue Zhao, Zhendong Mao","submitted_at":"2022-11-16T16:53:13Z","abstract_excerpt":"Relational triple extraction is challenging for its difficulty in capturing rich correlations between entities and relations. Existing works suffer from 1) heterogeneous representations of entities and relations, and 2) heterogeneous modeling of entity-entity interactions and entity-relation interactions. Therefore, the rich correlations are not fully exploited by existing works. In this paper, we propose UniRel to address these challenges. Specifically, we unify the representations of entities and relations by jointly encoding them within a concatenated natural language sequence, and unify th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.09039","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2211.09039/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":"2026-07-05T05:16:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+YRPhTtChsq90GTldgWca0hGHeUMRfBEmeNrXm/pxJMNdAIAcx10SmC7LYDjtheh+PW+alRjse6JXpcWoDxDBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T18:29:12.261419Z"},"content_sha256":"c891b91ea32d6cac327aed7d0028dfa7b19cc1e164344e5a2871aeedb219dc7a","schema_version":"1.0","event_id":"sha256:c891b91ea32d6cac327aed7d0028dfa7b19cc1e164344e5a2871aeedb219dc7a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RW6V3HHWF4USL5GGX7A5YL2YSO/bundle.json","state_url":"https://pith.science/pith/RW6V3HHWF4USL5GGX7A5YL2YSO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RW6V3HHWF4USL5GGX7A5YL2YSO/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":"2026-08-04T18:29:12Z","links":{"resolver":"https://pith.science/pith/RW6V3HHWF4USL5GGX7A5YL2YSO","bundle":"https://pith.science/pith/RW6V3HHWF4USL5GGX7A5YL2YSO/bundle.json","state":"https://pith.science/pith/RW6V3HHWF4USL5GGX7A5YL2YSO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RW6V3HHWF4USL5GGX7A5YL2YSO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:RW6V3HHWF4USL5GGX7A5YL2YSO","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":"fc2070f8c954b882b03e7fee1e81d94a9b1e12a68991f229df67b07b2156ccd5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-16T16:53:13Z","title_canon_sha256":"4716e19e12d223f4cde605f2040c02b34ac1d1fe0b360a725b0daef1b126ede4"},"schema_version":"1.0","source":{"id":"2211.09039","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.09039","created_at":"2026-07-05T05:16:46Z"},{"alias_kind":"arxiv_version","alias_value":"2211.09039v1","created_at":"2026-07-05T05:16:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.09039","created_at":"2026-07-05T05:16:46Z"},{"alias_kind":"pith_short_12","alias_value":"RW6V3HHWF4US","created_at":"2026-07-05T05:16:46Z"},{"alias_kind":"pith_short_16","alias_value":"RW6V3HHWF4USL5GG","created_at":"2026-07-05T05:16:46Z"},{"alias_kind":"pith_short_8","alias_value":"RW6V3HHW","created_at":"2026-07-05T05:16:46Z"}],"graph_snapshots":[{"event_id":"sha256:c891b91ea32d6cac327aed7d0028dfa7b19cc1e164344e5a2871aeedb219dc7a","target":"graph","created_at":"2026-07-05T05:16:46Z","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/2211.09039/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Relational triple extraction is challenging for its difficulty in capturing rich correlations between entities and relations. Existing works suffer from 1) heterogeneous representations of entities and relations, and 2) heterogeneous modeling of entity-entity interactions and entity-relation interactions. Therefore, the rich correlations are not fully exploited by existing works. In this paper, we propose UniRel to address these challenges. Specifically, we unify the representations of entities and relations by jointly encoding them within a concatenated natural language sequence, and unify th","authors_text":"Benfeng Xu, Haiyong Xie, Wei Tang, Yifeng Liu, Yong Liao, Yuyue Zhao, Zhendong Mao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-16T16:53:13Z","title":"UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.09039","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:e3dc7dd3222bcb22a98d26342edf567948190816f9d8fb915a1c0cbe9a1754a3","target":"record","created_at":"2026-07-05T05:16:46Z","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":"fc2070f8c954b882b03e7fee1e81d94a9b1e12a68991f229df67b07b2156ccd5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-16T16:53:13Z","title_canon_sha256":"4716e19e12d223f4cde605f2040c02b34ac1d1fe0b360a725b0daef1b126ede4"},"schema_version":"1.0","source":{"id":"2211.09039","kind":"arxiv","version":1}},"canonical_sha256":"8dbd5d9cf62f2925f4c6bfc1dc2f5893ac9684f9ba910186453451fa4807d545","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8dbd5d9cf62f2925f4c6bfc1dc2f5893ac9684f9ba910186453451fa4807d545","first_computed_at":"2026-07-05T05:16:46.898126Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:16:46.898126Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SWeep9N4ZKkiVvBU1WRTWSYMviwVOKhvxObw60w+QPra1LYSWkVSeveZTpCGnU6FxlmY+FmDh4dZdrA6mXd5BA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:16:46.898627Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.09039","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e3dc7dd3222bcb22a98d26342edf567948190816f9d8fb915a1c0cbe9a1754a3","sha256:c891b91ea32d6cac327aed7d0028dfa7b19cc1e164344e5a2871aeedb219dc7a"],"state_sha256":"02530ff359eeca2c663081eddb95b284d708cc219dd970705d5b4e8101dfc260"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Kqj0qqHsLs+6YsYMTplz9cule5pGkGw5HYpmWeFoo/YxbhZUWUcE0RpEoeY4sWKoMbhtXE+8AA9O6xm6DwQRDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T18:29:12.265518Z","bundle_sha256":"b34bd120c9f8353db0ad18f11620097a6cbd0467b5d9600747dd1e0d46e5160e"}}