{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:ZOSROVNUKFLZUKJYVADFWUAND2","short_pith_number":"pith:ZOSROVNU","canonical_record":{"source":{"id":"1203.5076","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.CL","submitted_at":"2012-03-22T18:45:07Z","cross_cats_sorted":[],"title_canon_sha256":"0a20c4ce8dcc43108fbcd99db6e6c4f74302608658779d031e08c33f5c2f16b8","abstract_canon_sha256":"2bacfaa41f5b7f6374bd71476abf2d82b571549aed62172e861369e97fa4c631"},"schema_version":"1.0"},"canonical_sha256":"cba51755b451579a2938a8065b500d1e862fb01822e91a78b01df149b0a37d21","source":{"kind":"arxiv","id":"1203.5076","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1203.5076","created_at":"2026-05-18T03:41:10Z"},{"alias_kind":"arxiv_version","alias_value":"1203.5076v1","created_at":"2026-05-18T03:41:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1203.5076","created_at":"2026-05-18T03:41:10Z"},{"alias_kind":"pith_short_12","alias_value":"ZOSROVNUKFLZ","created_at":"2026-05-18T12:27:30Z"},{"alias_kind":"pith_short_16","alias_value":"ZOSROVNUKFLZUKJY","created_at":"2026-05-18T12:27:30Z"},{"alias_kind":"pith_short_8","alias_value":"ZOSROVNU","created_at":"2026-05-18T12:27:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:ZOSROVNUKFLZUKJYVADFWUAND2","target":"record","payload":{"canonical_record":{"source":{"id":"1203.5076","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.CL","submitted_at":"2012-03-22T18:45:07Z","cross_cats_sorted":[],"title_canon_sha256":"0a20c4ce8dcc43108fbcd99db6e6c4f74302608658779d031e08c33f5c2f16b8","abstract_canon_sha256":"2bacfaa41f5b7f6374bd71476abf2d82b571549aed62172e861369e97fa4c631"},"schema_version":"1.0"},"canonical_sha256":"cba51755b451579a2938a8065b500d1e862fb01822e91a78b01df149b0a37d21","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:41:10.761725Z","signature_b64":"SsnzyY6x/H3tRNjE87J51oQ1EmrxH64jlbylvvIf+8bM9KXAFoUXd+jKUFzNhODv9/EFgmx7SYCvfc5rFdOgBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cba51755b451579a2938a8065b500d1e862fb01822e91a78b01df149b0a37d21","last_reissued_at":"2026-05-18T03:41:10.761164Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:41:10.761164Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1203.5076","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":"2026-05-18T03:41:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vOVkKnMjYQZBlzeaQoG01nZM3uHmMO3Hf8oHGCc9/C6vzB8SwUK+8Ib+rm9IMRF3KOWjAzcQLIsKXU5LU3/FDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-20T06:58:23.411154Z"},"content_sha256":"ecd186eb1f09294cafd6d1748199886702faffa71ca13bb42f7e1cd1f8e33180","schema_version":"1.0","event_id":"sha256:ecd186eb1f09294cafd6d1748199886702faffa71ca13bb42f7e1cd1f8e33180"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:ZOSROVNUKFLZUKJYVADFWUAND2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Massively Increasing TIMEX3 Resources: A Transduction Approach","license":"http://creativecommons.org/licenses/by/3.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Estela Saquete, H\\'ector Llorens, Leon Derczynski","submitted_at":"2012-03-22T18:45:07Z","abstract_excerpt":"Automatic annotation of temporal expressions is a research challenge of great interest in the field of information extraction. Gold standard temporally-annotated resources are limited in size, which makes research using them difficult. Standards have also evolved over the past decade, so not all temporally annotated data is in the same format. We vastly increase available human-annotated temporal expression resources by converting older format resources to TimeML/TIMEX3. This task is difficult due to differing annotation methods. We present a robust conversion tool and a new, large temporal ex"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1203.5076","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":"2026-05-18T03:41:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pjfy/4DgEQlj7lADC/gU38kCetvWaebX/WUxX14pWZhLmSIurWAZCh1iWk+e3aVkDIPpJcihKGwCF7bMRoi/Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-20T06:58:23.411516Z"},"content_sha256":"441a9720ceb51123251ee2ba0fa43a13adecdab7468d9d8fb0fafeffce8a2060","schema_version":"1.0","event_id":"sha256:441a9720ceb51123251ee2ba0fa43a13adecdab7468d9d8fb0fafeffce8a2060"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZOSROVNUKFLZUKJYVADFWUAND2/bundle.json","state_url":"https://pith.science/pith/ZOSROVNUKFLZUKJYVADFWUAND2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZOSROVNUKFLZUKJYVADFWUAND2/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":"2026-05-20T06:58:23Z","links":{"resolver":"https://pith.science/pith/ZOSROVNUKFLZUKJYVADFWUAND2","bundle":"https://pith.science/pith/ZOSROVNUKFLZUKJYVADFWUAND2/bundle.json","state":"https://pith.science/pith/ZOSROVNUKFLZUKJYVADFWUAND2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZOSROVNUKFLZUKJYVADFWUAND2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:ZOSROVNUKFLZUKJYVADFWUAND2","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":"2bacfaa41f5b7f6374bd71476abf2d82b571549aed62172e861369e97fa4c631","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.CL","submitted_at":"2012-03-22T18:45:07Z","title_canon_sha256":"0a20c4ce8dcc43108fbcd99db6e6c4f74302608658779d031e08c33f5c2f16b8"},"schema_version":"1.0","source":{"id":"1203.5076","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1203.5076","created_at":"2026-05-18T03:41:10Z"},{"alias_kind":"arxiv_version","alias_value":"1203.5076v1","created_at":"2026-05-18T03:41:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1203.5076","created_at":"2026-05-18T03:41:10Z"},{"alias_kind":"pith_short_12","alias_value":"ZOSROVNUKFLZ","created_at":"2026-05-18T12:27:30Z"},{"alias_kind":"pith_short_16","alias_value":"ZOSROVNUKFLZUKJY","created_at":"2026-05-18T12:27:30Z"},{"alias_kind":"pith_short_8","alias_value":"ZOSROVNU","created_at":"2026-05-18T12:27:30Z"}],"graph_snapshots":[{"event_id":"sha256:441a9720ceb51123251ee2ba0fa43a13adecdab7468d9d8fb0fafeffce8a2060","target":"graph","created_at":"2026-05-18T03:41:10Z","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":"Automatic annotation of temporal expressions is a research challenge of great interest in the field of information extraction. Gold standard temporally-annotated resources are limited in size, which makes research using them difficult. Standards have also evolved over the past decade, so not all temporally annotated data is in the same format. We vastly increase available human-annotated temporal expression resources by converting older format resources to TimeML/TIMEX3. This task is difficult due to differing annotation methods. We present a robust conversion tool and a new, large temporal ex","authors_text":"Estela Saquete, H\\'ector Llorens, Leon Derczynski","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.CL","submitted_at":"2012-03-22T18:45:07Z","title":"Massively Increasing TIMEX3 Resources: A Transduction Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1203.5076","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:ecd186eb1f09294cafd6d1748199886702faffa71ca13bb42f7e1cd1f8e33180","target":"record","created_at":"2026-05-18T03:41:10Z","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":"2bacfaa41f5b7f6374bd71476abf2d82b571549aed62172e861369e97fa4c631","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.CL","submitted_at":"2012-03-22T18:45:07Z","title_canon_sha256":"0a20c4ce8dcc43108fbcd99db6e6c4f74302608658779d031e08c33f5c2f16b8"},"schema_version":"1.0","source":{"id":"1203.5076","kind":"arxiv","version":1}},"canonical_sha256":"cba51755b451579a2938a8065b500d1e862fb01822e91a78b01df149b0a37d21","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cba51755b451579a2938a8065b500d1e862fb01822e91a78b01df149b0a37d21","first_computed_at":"2026-05-18T03:41:10.761164Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:41:10.761164Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SsnzyY6x/H3tRNjE87J51oQ1EmrxH64jlbylvvIf+8bM9KXAFoUXd+jKUFzNhODv9/EFgmx7SYCvfc5rFdOgBg==","signature_status":"signed_v1","signed_at":"2026-05-18T03:41:10.761725Z","signed_message":"canonical_sha256_bytes"},"source_id":"1203.5076","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ecd186eb1f09294cafd6d1748199886702faffa71ca13bb42f7e1cd1f8e33180","sha256:441a9720ceb51123251ee2ba0fa43a13adecdab7468d9d8fb0fafeffce8a2060"],"state_sha256":"94fd75c9b3c795ef899acee8e9648e518283fd139ac65e3fc67238f2292f608e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bPQjcCxEUrilX2NzSRHcNIKQ+cNU8HSODltTOONghjtyXTzp8vQWiEU41PL6RZN4VYpv6Loo/ErQjp5FE2tqDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-20T06:58:23.413418Z","bundle_sha256":"1992d17e13b5c963cc174674d3ec796cbc0f3a4a7aa2d20912187ff38b69ff17"}}