{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:IHYSOXDBOUL7X7MXDKISUCVVA3","short_pith_number":"pith:IHYSOXDB","canonical_record":{"source":{"id":"1610.09722","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-10-30T22:33:47Z","cross_cats_sorted":[],"title_canon_sha256":"459a89bd60e9334b9d767f5c33b13c74c8cfa0e4d20a5dd2e09b84e1e5823228","abstract_canon_sha256":"7f0e33f38db1de971a305094a9bf7a93b1a5eb557b18e67391832ead4348e7f0"},"schema_version":"1.0"},"canonical_sha256":"41f1275c617517fbfd971a912a0ab506d3e45c9e426b41537ecead68c6b0801e","source":{"kind":"arxiv","id":"1610.09722","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.09722","created_at":"2026-05-18T01:00:51Z"},{"alias_kind":"arxiv_version","alias_value":"1610.09722v1","created_at":"2026-05-18T01:00:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.09722","created_at":"2026-05-18T01:00:51Z"},{"alias_kind":"pith_short_12","alias_value":"IHYSOXDBOUL7","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_16","alias_value":"IHYSOXDBOUL7X7MX","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_8","alias_value":"IHYSOXDB","created_at":"2026-05-18T12:30:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:IHYSOXDBOUL7X7MXDKISUCVVA3","target":"record","payload":{"canonical_record":{"source":{"id":"1610.09722","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-10-30T22:33:47Z","cross_cats_sorted":[],"title_canon_sha256":"459a89bd60e9334b9d767f5c33b13c74c8cfa0e4d20a5dd2e09b84e1e5823228","abstract_canon_sha256":"7f0e33f38db1de971a305094a9bf7a93b1a5eb557b18e67391832ead4348e7f0"},"schema_version":"1.0"},"canonical_sha256":"41f1275c617517fbfd971a912a0ab506d3e45c9e426b41537ecead68c6b0801e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:00:51.216415Z","signature_b64":"eGOYPWgWQb0JoED2OZ/NeELC5VOERyhqhbY24mhDw2zyWVpxcuvZiy661kMRZe8N4/NsyFbm2/RyUiKKxt2JBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"41f1275c617517fbfd971a912a0ab506d3e45c9e426b41537ecead68c6b0801e","last_reissued_at":"2026-05-18T01:00:51.215742Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:00:51.215742Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1610.09722","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":"2026-05-18T01:00:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WP2QgbvPQ2Mh+MM+k8jVqOdUpRkRlcglb/fTv+GOTWa5sE3yHqH1HuTC9ThgkOg+0u87BW4u8lH5D53QL97mCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-25T19:31:13.049746Z"},"content_sha256":"a826a9ec17e280c5649c501e88c0ec8c6cc79c8b73aa3684c2f0edf19b500b55","schema_version":"1.0","event_id":"sha256:a826a9ec17e280c5649c501e88c0ec8c6cc79c8b73aa3684c2f0edf19b500b55"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:IHYSOXDBOUL7X7MXDKISUCVVA3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Represent, Aggregate, and Constrain: A Novel Architecture for Machine Reading from Noisy Sources","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jason Naradowsky, Sebastian Riedel","submitted_at":"2016-10-30T22:33:47Z","abstract_excerpt":"In order to extract event information from text, a machine reading model must learn to accurately read and interpret the ways in which that information is expressed. But it must also, as the human reader must, aggregate numerous individual value hypotheses into a single coherent global analysis, applying global constraints which reflect prior knowledge of the domain.\n  In this work we focus on the task of extracting plane crash event information from clusters of related news articles whose labels are derived via distant supervision. Unlike previous machine reading work, we assume that while mo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.09722","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":"2026-05-18T01:00:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jO6e2f+yZLCQ/E/zesB/isxL7Q644gZyMZfb9SYb5xD1pZ98yDr8C1TdkVviIUMDUU3W0MgDN4cp+z1KY0O2Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-25T19:31:13.050091Z"},"content_sha256":"deade27f043e1d49c08c4ea1bd9a5a7c04485798af4f5f0f4f8a43398acf1773","schema_version":"1.0","event_id":"sha256:deade27f043e1d49c08c4ea1bd9a5a7c04485798af4f5f0f4f8a43398acf1773"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IHYSOXDBOUL7X7MXDKISUCVVA3/bundle.json","state_url":"https://pith.science/pith/IHYSOXDBOUL7X7MXDKISUCVVA3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IHYSOXDBOUL7X7MXDKISUCVVA3/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":"2026-07-25T19:31:13Z","links":{"resolver":"https://pith.science/pith/IHYSOXDBOUL7X7MXDKISUCVVA3","bundle":"https://pith.science/pith/IHYSOXDBOUL7X7MXDKISUCVVA3/bundle.json","state":"https://pith.science/pith/IHYSOXDBOUL7X7MXDKISUCVVA3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IHYSOXDBOUL7X7MXDKISUCVVA3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:IHYSOXDBOUL7X7MXDKISUCVVA3","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":"7f0e33f38db1de971a305094a9bf7a93b1a5eb557b18e67391832ead4348e7f0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-10-30T22:33:47Z","title_canon_sha256":"459a89bd60e9334b9d767f5c33b13c74c8cfa0e4d20a5dd2e09b84e1e5823228"},"schema_version":"1.0","source":{"id":"1610.09722","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.09722","created_at":"2026-05-18T01:00:51Z"},{"alias_kind":"arxiv_version","alias_value":"1610.09722v1","created_at":"2026-05-18T01:00:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.09722","created_at":"2026-05-18T01:00:51Z"},{"alias_kind":"pith_short_12","alias_value":"IHYSOXDBOUL7","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_16","alias_value":"IHYSOXDBOUL7X7MX","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_8","alias_value":"IHYSOXDB","created_at":"2026-05-18T12:30:22Z"}],"graph_snapshots":[{"event_id":"sha256:deade27f043e1d49c08c4ea1bd9a5a7c04485798af4f5f0f4f8a43398acf1773","target":"graph","created_at":"2026-05-18T01:00:51Z","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":"In order to extract event information from text, a machine reading model must learn to accurately read and interpret the ways in which that information is expressed. But it must also, as the human reader must, aggregate numerous individual value hypotheses into a single coherent global analysis, applying global constraints which reflect prior knowledge of the domain.\n  In this work we focus on the task of extracting plane crash event information from clusters of related news articles whose labels are derived via distant supervision. Unlike previous machine reading work, we assume that while mo","authors_text":"Jason Naradowsky, Sebastian Riedel","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-10-30T22:33:47Z","title":"Represent, Aggregate, and Constrain: A Novel Architecture for Machine Reading from Noisy Sources"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.09722","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:a826a9ec17e280c5649c501e88c0ec8c6cc79c8b73aa3684c2f0edf19b500b55","target":"record","created_at":"2026-05-18T01:00:51Z","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":"7f0e33f38db1de971a305094a9bf7a93b1a5eb557b18e67391832ead4348e7f0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-10-30T22:33:47Z","title_canon_sha256":"459a89bd60e9334b9d767f5c33b13c74c8cfa0e4d20a5dd2e09b84e1e5823228"},"schema_version":"1.0","source":{"id":"1610.09722","kind":"arxiv","version":1}},"canonical_sha256":"41f1275c617517fbfd971a912a0ab506d3e45c9e426b41537ecead68c6b0801e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"41f1275c617517fbfd971a912a0ab506d3e45c9e426b41537ecead68c6b0801e","first_computed_at":"2026-05-18T01:00:51.215742Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:00:51.215742Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eGOYPWgWQb0JoED2OZ/NeELC5VOERyhqhbY24mhDw2zyWVpxcuvZiy661kMRZe8N4/NsyFbm2/RyUiKKxt2JBg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:00:51.216415Z","signed_message":"canonical_sha256_bytes"},"source_id":"1610.09722","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a826a9ec17e280c5649c501e88c0ec8c6cc79c8b73aa3684c2f0edf19b500b55","sha256:deade27f043e1d49c08c4ea1bd9a5a7c04485798af4f5f0f4f8a43398acf1773"],"state_sha256":"c38ec9b62ef5c1d1349b0d5e29a94752965a061a6edf2fa7bbd6efcd4d2dd878"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Qs6oDcaF6vymRHKznGgDqfdwvn1zkZ5GJOw3BayBqWU/hfpj0ZI+oYXcoyjVMe3Pmvnc6ZbL0AUJTHCwghUiDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-25T19:31:13.052161Z","bundle_sha256":"c4dc98df95160c353b923b799260bee1e544a4e015ba5eb97d05322968298c33"}}