{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:DXDXVOX66KX2XMKZJKT7M55MQT","short_pith_number":"pith:DXDXVOX6","canonical_record":{"source":{"id":"2203.12277","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-23T08:49:29Z","cross_cats_sorted":[],"title_canon_sha256":"6cfad0b2fae8f248a8eb17c19caf036cf2785ec9d46b1520d6b4d3384c17a6f8","abstract_canon_sha256":"13102f2ea920d698ba34e9a17cc27a1dd47fed535d08704144504c3c512608bf"},"schema_version":"1.0"},"canonical_sha256":"1dc77abafef2afabb1594aa7f677ac84eebb11219ae332fa633dfed741bc82b6","source":{"kind":"arxiv","id":"2203.12277","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.12277","created_at":"2026-07-05T04:07:57Z"},{"alias_kind":"arxiv_version","alias_value":"2203.12277v1","created_at":"2026-07-05T04:07:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.12277","created_at":"2026-07-05T04:07:57Z"},{"alias_kind":"pith_short_12","alias_value":"DXDXVOX66KX2","created_at":"2026-07-05T04:07:57Z"},{"alias_kind":"pith_short_16","alias_value":"DXDXVOX66KX2XMKZ","created_at":"2026-07-05T04:07:57Z"},{"alias_kind":"pith_short_8","alias_value":"DXDXVOX6","created_at":"2026-07-05T04:07:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:DXDXVOX66KX2XMKZJKT7M55MQT","target":"record","payload":{"canonical_record":{"source":{"id":"2203.12277","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-23T08:49:29Z","cross_cats_sorted":[],"title_canon_sha256":"6cfad0b2fae8f248a8eb17c19caf036cf2785ec9d46b1520d6b4d3384c17a6f8","abstract_canon_sha256":"13102f2ea920d698ba34e9a17cc27a1dd47fed535d08704144504c3c512608bf"},"schema_version":"1.0"},"canonical_sha256":"1dc77abafef2afabb1594aa7f677ac84eebb11219ae332fa633dfed741bc82b6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:07:57.732513Z","signature_b64":"96sMxc5oyfc+13T58s9S1KwfW4PWW44UwT7AB2WwBuICREQFceYgpXPhxUsTP9YjO5n+rf9rbq8ZJQuAoJBgAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1dc77abafef2afabb1594aa7f677ac84eebb11219ae332fa633dfed741bc82b6","last_reissued_at":"2026-07-05T04:07:57.732038Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:07:57.732038Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.12277","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":"2026-07-05T04:07:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JJDwQy/sBVE6NnY+jM5DwnW5Fz4ZxsPazKgFNfs1AvbhsZwglBXCWVb9ACnXvY3z/AADjsBsOsxgVTIBKReaBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T16:24:26.861529Z"},"content_sha256":"38f408d899bf9ff6c3ce327c2483637862a13f446ce066554f9194999483671d","schema_version":"1.0","event_id":"sha256:38f408d899bf9ff6c3ce327c2483637862a13f446ce066554f9194999483671d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:DXDXVOX66KX2XMKZJKT7M55MQT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unified Structure Generation for Universal Information Extraction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Dai Dai, Hongyu Lin, Hua Wu, Le Sun, Qing Liu, Xianpei Han, Xinyan Xiao, Yaojie Lu","submitted_at":"2022-03-23T08:49:29Z","abstract_excerpt":"Information extraction suffers from its varying targets, heterogeneous structures, and demand-specific schemas. In this paper, we propose a unified text-to-structure generation framework, namely UIE, which can universally model different IE tasks, adaptively generate targeted structures, and collaboratively learn general IE abilities from different knowledge sources. Specifically, UIE uniformly encodes different extraction structures via a structured extraction language, adaptively generates target extractions via a schema-based prompt mechanism - structural schema instructor, and captures the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.12277","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/2203.12277/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":"2026-07-05T04:07:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XKLbu35ndlNNfIhF2yFX7SP1v9XiBo9vtLDAtHpRX4RD//xdJTo6LX7SJ16/I8SH/UB4vmX0WV24m6GHhZv+Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T16:24:26.862082Z"},"content_sha256":"a98a3ceca5dd7e040e7dca869378a5cddf9237c6d2efb293131456c44788d1f2","schema_version":"1.0","event_id":"sha256:a98a3ceca5dd7e040e7dca869378a5cddf9237c6d2efb293131456c44788d1f2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DXDXVOX66KX2XMKZJKT7M55MQT/bundle.json","state_url":"https://pith.science/pith/DXDXVOX66KX2XMKZJKT7M55MQT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DXDXVOX66KX2XMKZJKT7M55MQT/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":"2026-08-08T16:24:26Z","links":{"resolver":"https://pith.science/pith/DXDXVOX66KX2XMKZJKT7M55MQT","bundle":"https://pith.science/pith/DXDXVOX66KX2XMKZJKT7M55MQT/bundle.json","state":"https://pith.science/pith/DXDXVOX66KX2XMKZJKT7M55MQT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DXDXVOX66KX2XMKZJKT7M55MQT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:DXDXVOX66KX2XMKZJKT7M55MQT","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":"13102f2ea920d698ba34e9a17cc27a1dd47fed535d08704144504c3c512608bf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-23T08:49:29Z","title_canon_sha256":"6cfad0b2fae8f248a8eb17c19caf036cf2785ec9d46b1520d6b4d3384c17a6f8"},"schema_version":"1.0","source":{"id":"2203.12277","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.12277","created_at":"2026-07-05T04:07:57Z"},{"alias_kind":"arxiv_version","alias_value":"2203.12277v1","created_at":"2026-07-05T04:07:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.12277","created_at":"2026-07-05T04:07:57Z"},{"alias_kind":"pith_short_12","alias_value":"DXDXVOX66KX2","created_at":"2026-07-05T04:07:57Z"},{"alias_kind":"pith_short_16","alias_value":"DXDXVOX66KX2XMKZ","created_at":"2026-07-05T04:07:57Z"},{"alias_kind":"pith_short_8","alias_value":"DXDXVOX6","created_at":"2026-07-05T04:07:57Z"}],"graph_snapshots":[{"event_id":"sha256:a98a3ceca5dd7e040e7dca869378a5cddf9237c6d2efb293131456c44788d1f2","target":"graph","created_at":"2026-07-05T04:07:57Z","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/2203.12277/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Information extraction suffers from its varying targets, heterogeneous structures, and demand-specific schemas. In this paper, we propose a unified text-to-structure generation framework, namely UIE, which can universally model different IE tasks, adaptively generate targeted structures, and collaboratively learn general IE abilities from different knowledge sources. Specifically, UIE uniformly encodes different extraction structures via a structured extraction language, adaptively generates target extractions via a schema-based prompt mechanism - structural schema instructor, and captures the","authors_text":"Dai Dai, Hongyu Lin, Hua Wu, Le Sun, Qing Liu, Xianpei Han, Xinyan Xiao, Yaojie Lu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-23T08:49:29Z","title":"Unified Structure Generation for Universal Information Extraction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.12277","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":"sha256:38f408d899bf9ff6c3ce327c2483637862a13f446ce066554f9194999483671d","target":"record","created_at":"2026-07-05T04:07:57Z","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":"13102f2ea920d698ba34e9a17cc27a1dd47fed535d08704144504c3c512608bf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-23T08:49:29Z","title_canon_sha256":"6cfad0b2fae8f248a8eb17c19caf036cf2785ec9d46b1520d6b4d3384c17a6f8"},"schema_version":"1.0","source":{"id":"2203.12277","kind":"arxiv","version":1}},"canonical_sha256":"1dc77abafef2afabb1594aa7f677ac84eebb11219ae332fa633dfed741bc82b6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1dc77abafef2afabb1594aa7f677ac84eebb11219ae332fa633dfed741bc82b6","first_computed_at":"2026-07-05T04:07:57.732038Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:07:57.732038Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"96sMxc5oyfc+13T58s9S1KwfW4PWW44UwT7AB2WwBuICREQFceYgpXPhxUsTP9YjO5n+rf9rbq8ZJQuAoJBgAA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:07:57.732513Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.12277","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:38f408d899bf9ff6c3ce327c2483637862a13f446ce066554f9194999483671d","sha256:a98a3ceca5dd7e040e7dca869378a5cddf9237c6d2efb293131456c44788d1f2"],"state_sha256":"b4d408c6065c310f7653ed11e103a8749bfc93e61839e7d30e9146c294f919e4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jvegcwVV10pBFZIP+ih9ceQNodkFN0zSfYRn6JsHnyd7yW6d/nGHaHr97XVSNsI8qIqbbExFxMegODUamcQVCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T16:24:26.865966Z","bundle_sha256":"ec64402059bda27e1f50b82704ad52fc9b9c99e65b8088dbe9768535394b482b"}}