{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:OMQGXQPVBRGZEXMUSH5WG2EPJH","short_pith_number":"pith:OMQGXQPV","canonical_record":{"source":{"id":"1606.02514","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2016-06-08T11:22:12Z","cross_cats_sorted":[],"title_canon_sha256":"83a316fcbcba4a641bbc4f7fd0ded8fefe678c4167dc241dbe0b5d190704c827","abstract_canon_sha256":"2bb8fafea43f59db0bd66ddabfdb8ef788a8d1fd8296730d17ffba58254405c3"},"schema_version":"1.0"},"canonical_sha256":"73206bc1f50c4d925d9491fb63688f49c500d02f10242347c479a3254db10a55","source":{"kind":"arxiv","id":"1606.02514","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.02514","created_at":"2026-05-18T01:12:41Z"},{"alias_kind":"arxiv_version","alias_value":"1606.02514v1","created_at":"2026-05-18T01:12:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.02514","created_at":"2026-05-18T01:12:41Z"},{"alias_kind":"pith_short_12","alias_value":"OMQGXQPVBRGZ","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_16","alias_value":"OMQGXQPVBRGZEXMU","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_8","alias_value":"OMQGXQPV","created_at":"2026-05-18T12:30:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:OMQGXQPVBRGZEXMUSH5WG2EPJH","target":"record","payload":{"canonical_record":{"source":{"id":"1606.02514","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2016-06-08T11:22:12Z","cross_cats_sorted":[],"title_canon_sha256":"83a316fcbcba4a641bbc4f7fd0ded8fefe678c4167dc241dbe0b5d190704c827","abstract_canon_sha256":"2bb8fafea43f59db0bd66ddabfdb8ef788a8d1fd8296730d17ffba58254405c3"},"schema_version":"1.0"},"canonical_sha256":"73206bc1f50c4d925d9491fb63688f49c500d02f10242347c479a3254db10a55","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:12:41.155033Z","signature_b64":"smhwggKMVrF2NJQcYF5mbMOvV1tXvMV60IVC7zSPW4QOXYwzJFF+tSGih+8+diSHTgtcPcLB7D23GcRndemvDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"73206bc1f50c4d925d9491fb63688f49c500d02f10242347c479a3254db10a55","last_reissued_at":"2026-05-18T01:12:41.154696Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:12:41.154696Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1606.02514","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":"2026-05-18T01:12:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TBYYKKYnNaFhG0Wq3wBhsNEqCzJNk4z3TvYJCWNgha44M2iIQhx1ZowIop2fRr/7+KDfpzGqt25hXVP4BNHpCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T04:33:22.325581Z"},"content_sha256":"d07623be6f5ff244125b3a6c008200d170421a02f7626cf418c0682b1df4bf5d","schema_version":"1.0","event_id":"sha256:d07623be6f5ff244125b3a6c008200d170421a02f7626cf418c0682b1df4bf5d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:OMQGXQPVBRGZEXMUSH5WG2EPJH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DefExt: A Semi Supervised Definition Extraction Tool","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Francesco Ronzano, Horacio Saggion, Luis Espinosa-Anke, Roberto Carlini","submitted_at":"2016-06-08T11:22:12Z","abstract_excerpt":"We present DefExt, an easy to use semi supervised Definition Extraction Tool. DefExt is designed to extract from a target corpus those textual fragments where a term is explicitly mentioned together with its core features, i.e. its definition. It works on the back of a Conditional Random Fields based sequential labeling algorithm and a bootstrapping approach. Bootstrapping enables the model to gradually become more aware of the idiosyncrasies of the target corpus. In this paper we describe the main components of the toolkit as well as experimental results stemming from both automatic and manua"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.02514","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":"2026-05-18T01:12:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o0BiYofotGqSxK9WP8JSmsJVQ7kOuYkKGGLxkzL8xDXcAKHU+LHDlrfTbCxvojqxLtzf5nwZwyjxmRz4IxtODw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T04:33:22.325958Z"},"content_sha256":"cca2260d23515678d13a452eb8e82a86065971ae75248b204d2315591a41b03f","schema_version":"1.0","event_id":"sha256:cca2260d23515678d13a452eb8e82a86065971ae75248b204d2315591a41b03f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OMQGXQPVBRGZEXMUSH5WG2EPJH/bundle.json","state_url":"https://pith.science/pith/OMQGXQPVBRGZEXMUSH5WG2EPJH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OMQGXQPVBRGZEXMUSH5WG2EPJH/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":"2026-06-01T04:33:22Z","links":{"resolver":"https://pith.science/pith/OMQGXQPVBRGZEXMUSH5WG2EPJH","bundle":"https://pith.science/pith/OMQGXQPVBRGZEXMUSH5WG2EPJH/bundle.json","state":"https://pith.science/pith/OMQGXQPVBRGZEXMUSH5WG2EPJH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OMQGXQPVBRGZEXMUSH5WG2EPJH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:OMQGXQPVBRGZEXMUSH5WG2EPJH","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":"2bb8fafea43f59db0bd66ddabfdb8ef788a8d1fd8296730d17ffba58254405c3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2016-06-08T11:22:12Z","title_canon_sha256":"83a316fcbcba4a641bbc4f7fd0ded8fefe678c4167dc241dbe0b5d190704c827"},"schema_version":"1.0","source":{"id":"1606.02514","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.02514","created_at":"2026-05-18T01:12:41Z"},{"alias_kind":"arxiv_version","alias_value":"1606.02514v1","created_at":"2026-05-18T01:12:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.02514","created_at":"2026-05-18T01:12:41Z"},{"alias_kind":"pith_short_12","alias_value":"OMQGXQPVBRGZ","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_16","alias_value":"OMQGXQPVBRGZEXMU","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_8","alias_value":"OMQGXQPV","created_at":"2026-05-18T12:30:36Z"}],"graph_snapshots":[{"event_id":"sha256:cca2260d23515678d13a452eb8e82a86065971ae75248b204d2315591a41b03f","target":"graph","created_at":"2026-05-18T01:12:41Z","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":"We present DefExt, an easy to use semi supervised Definition Extraction Tool. DefExt is designed to extract from a target corpus those textual fragments where a term is explicitly mentioned together with its core features, i.e. its definition. It works on the back of a Conditional Random Fields based sequential labeling algorithm and a bootstrapping approach. Bootstrapping enables the model to gradually become more aware of the idiosyncrasies of the target corpus. In this paper we describe the main components of the toolkit as well as experimental results stemming from both automatic and manua","authors_text":"Francesco Ronzano, Horacio Saggion, Luis Espinosa-Anke, Roberto Carlini","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2016-06-08T11:22:12Z","title":"DefExt: A Semi Supervised Definition Extraction Tool"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.02514","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:d07623be6f5ff244125b3a6c008200d170421a02f7626cf418c0682b1df4bf5d","target":"record","created_at":"2026-05-18T01:12:41Z","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":"2bb8fafea43f59db0bd66ddabfdb8ef788a8d1fd8296730d17ffba58254405c3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2016-06-08T11:22:12Z","title_canon_sha256":"83a316fcbcba4a641bbc4f7fd0ded8fefe678c4167dc241dbe0b5d190704c827"},"schema_version":"1.0","source":{"id":"1606.02514","kind":"arxiv","version":1}},"canonical_sha256":"73206bc1f50c4d925d9491fb63688f49c500d02f10242347c479a3254db10a55","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"73206bc1f50c4d925d9491fb63688f49c500d02f10242347c479a3254db10a55","first_computed_at":"2026-05-18T01:12:41.154696Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:12:41.154696Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"smhwggKMVrF2NJQcYF5mbMOvV1tXvMV60IVC7zSPW4QOXYwzJFF+tSGih+8+diSHTgtcPcLB7D23GcRndemvDg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:12:41.155033Z","signed_message":"canonical_sha256_bytes"},"source_id":"1606.02514","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d07623be6f5ff244125b3a6c008200d170421a02f7626cf418c0682b1df4bf5d","sha256:cca2260d23515678d13a452eb8e82a86065971ae75248b204d2315591a41b03f"],"state_sha256":"62bd021c68f421a77daf1a139bd2f55b776c771e3e43d4c81948509404785254"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PrNIe5QNH8HAOOEFyZxlTV4lFpcGxo5c3bqntFEHOZRgI5xMjoveS7xXinfLadwvsEIqcx42khKY046JSgQyCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T04:33:22.328220Z","bundle_sha256":"70782561f68ccd89ff92e8c7295f2515b91bc743665aeadb642d5dfbd35e0535"}}