{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:ZWCQ6BS3YVXEFIUZCF2RF4JAKO","short_pith_number":"pith:ZWCQ6BS3","canonical_record":{"source":{"id":"1206.1615","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2012-06-07T21:04:15Z","cross_cats_sorted":[],"title_canon_sha256":"7aa45a6a7841055847c732dd1eea70117332e2c06967e62e33e5127f36b389eb","abstract_canon_sha256":"4888524eb7152248172d12448222c09cd7793b6247aac8285372b1605397bfa3"},"schema_version":"1.0"},"canonical_sha256":"cd850f065bc56e42a299117512f1205393514d84d0f9e8bbf4fd3365cee8edec","source":{"kind":"arxiv","id":"1206.1615","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1206.1615","created_at":"2026-05-18T03:54:03Z"},{"alias_kind":"arxiv_version","alias_value":"1206.1615v1","created_at":"2026-05-18T03:54:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1206.1615","created_at":"2026-05-18T03:54:03Z"},{"alias_kind":"pith_short_12","alias_value":"ZWCQ6BS3YVXE","created_at":"2026-05-18T12:27:30Z"},{"alias_kind":"pith_short_16","alias_value":"ZWCQ6BS3YVXEFIUZ","created_at":"2026-05-18T12:27:30Z"},{"alias_kind":"pith_short_8","alias_value":"ZWCQ6BS3","created_at":"2026-05-18T12:27:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:ZWCQ6BS3YVXEFIUZCF2RF4JAKO","target":"record","payload":{"canonical_record":{"source":{"id":"1206.1615","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2012-06-07T21:04:15Z","cross_cats_sorted":[],"title_canon_sha256":"7aa45a6a7841055847c732dd1eea70117332e2c06967e62e33e5127f36b389eb","abstract_canon_sha256":"4888524eb7152248172d12448222c09cd7793b6247aac8285372b1605397bfa3"},"schema_version":"1.0"},"canonical_sha256":"cd850f065bc56e42a299117512f1205393514d84d0f9e8bbf4fd3365cee8edec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:54:03.701806Z","signature_b64":"6FP+Z1KB4ulIgw1K73RskARjKZMzV33Tzw1BlBa7V5lgA2VUZw/V6hA/MqJIv6zRsYRF19U/Te9uEOWVkE/oCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cd850f065bc56e42a299117512f1205393514d84d0f9e8bbf4fd3365cee8edec","last_reissued_at":"2026-05-18T03:54:03.701285Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:54:03.701285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1206.1615","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":"2026-05-18T03:54:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MMpY6gmWtpM+ZJ1KuxRE5cIyIo6fIuGIh+jSx/HMgqaBI/H78+cYPXE9hOG/m2zs3BF6NwigLGZMzAyUzNM1Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T14:33:48.588335Z"},"content_sha256":"8ec5b45faf9dfe778f3080da27c69fa3426a9888c29c0404865dac84c53e5282","schema_version":"1.0","event_id":"sha256:8ec5b45faf9dfe778f3080da27c69fa3426a9888c29c0404865dac84c53e5282"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:ZWCQ6BS3YVXEFIUZCF2RF4JAKO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Objects and Goals Extraction from Semantic Networks : Applications of Fuzzy SetS Theory","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Mohamed Nazih Omri","submitted_at":"2012-06-07T21:04:15Z","abstract_excerpt":"In this paper we present a short survey of fuzzy and Semantic approaches to Knowledge Extraction. The goal of such approaches is to define flexible Knowledge Extraction Systems able to deal with the inherent vagueness and uncertainty of the Extraction process. In this survey we address if and how some approaches met their goal."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1206.1615","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":"2026-05-18T03:54:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5sStfkOanpGyYIzSvVjD61BbV7cvaWcTcIk+/EFjfuBkqm3cU/BQBrzrRzm0+xvixosBFnh7I2FnKFmmvdrMCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T14:33:48.588667Z"},"content_sha256":"07d0fb5a91c3e26985e823852ca0be5d20da38771112fc4ac26668ffebccab0e","schema_version":"1.0","event_id":"sha256:07d0fb5a91c3e26985e823852ca0be5d20da38771112fc4ac26668ffebccab0e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZWCQ6BS3YVXEFIUZCF2RF4JAKO/bundle.json","state_url":"https://pith.science/pith/ZWCQ6BS3YVXEFIUZCF2RF4JAKO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZWCQ6BS3YVXEFIUZCF2RF4JAKO/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":"2026-07-03T14:33:48Z","links":{"resolver":"https://pith.science/pith/ZWCQ6BS3YVXEFIUZCF2RF4JAKO","bundle":"https://pith.science/pith/ZWCQ6BS3YVXEFIUZCF2RF4JAKO/bundle.json","state":"https://pith.science/pith/ZWCQ6BS3YVXEFIUZCF2RF4JAKO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZWCQ6BS3YVXEFIUZCF2RF4JAKO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:ZWCQ6BS3YVXEFIUZCF2RF4JAKO","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":"4888524eb7152248172d12448222c09cd7793b6247aac8285372b1605397bfa3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2012-06-07T21:04:15Z","title_canon_sha256":"7aa45a6a7841055847c732dd1eea70117332e2c06967e62e33e5127f36b389eb"},"schema_version":"1.0","source":{"id":"1206.1615","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1206.1615","created_at":"2026-05-18T03:54:03Z"},{"alias_kind":"arxiv_version","alias_value":"1206.1615v1","created_at":"2026-05-18T03:54:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1206.1615","created_at":"2026-05-18T03:54:03Z"},{"alias_kind":"pith_short_12","alias_value":"ZWCQ6BS3YVXE","created_at":"2026-05-18T12:27:30Z"},{"alias_kind":"pith_short_16","alias_value":"ZWCQ6BS3YVXEFIUZ","created_at":"2026-05-18T12:27:30Z"},{"alias_kind":"pith_short_8","alias_value":"ZWCQ6BS3","created_at":"2026-05-18T12:27:30Z"}],"graph_snapshots":[{"event_id":"sha256:07d0fb5a91c3e26985e823852ca0be5d20da38771112fc4ac26668ffebccab0e","target":"graph","created_at":"2026-05-18T03:54:03Z","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 this paper we present a short survey of fuzzy and Semantic approaches to Knowledge Extraction. The goal of such approaches is to define flexible Knowledge Extraction Systems able to deal with the inherent vagueness and uncertainty of the Extraction process. In this survey we address if and how some approaches met their goal.","authors_text":"Mohamed Nazih Omri","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2012-06-07T21:04:15Z","title":"Objects and Goals Extraction from Semantic Networks : Applications of Fuzzy SetS Theory"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1206.1615","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":"sha256:8ec5b45faf9dfe778f3080da27c69fa3426a9888c29c0404865dac84c53e5282","target":"record","created_at":"2026-05-18T03:54:03Z","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":"4888524eb7152248172d12448222c09cd7793b6247aac8285372b1605397bfa3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2012-06-07T21:04:15Z","title_canon_sha256":"7aa45a6a7841055847c732dd1eea70117332e2c06967e62e33e5127f36b389eb"},"schema_version":"1.0","source":{"id":"1206.1615","kind":"arxiv","version":1}},"canonical_sha256":"cd850f065bc56e42a299117512f1205393514d84d0f9e8bbf4fd3365cee8edec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cd850f065bc56e42a299117512f1205393514d84d0f9e8bbf4fd3365cee8edec","first_computed_at":"2026-05-18T03:54:03.701285Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:54:03.701285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6FP+Z1KB4ulIgw1K73RskARjKZMzV33Tzw1BlBa7V5lgA2VUZw/V6hA/MqJIv6zRsYRF19U/Te9uEOWVkE/oCg==","signature_status":"signed_v1","signed_at":"2026-05-18T03:54:03.701806Z","signed_message":"canonical_sha256_bytes"},"source_id":"1206.1615","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ec5b45faf9dfe778f3080da27c69fa3426a9888c29c0404865dac84c53e5282","sha256:07d0fb5a91c3e26985e823852ca0be5d20da38771112fc4ac26668ffebccab0e"],"state_sha256":"1316e2be992d942cdd67802f2fccd873b3c4eeb0f843cb548bd7fb88fa12e7e7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vGoESH7e18tjIVUC71ufGe8OeuoFdRPLES2COnmXrziarNeC4XGCfhJDkucHirfyL2J8rj7obeT1vQYu3biPCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-03T14:33:48.590416Z","bundle_sha256":"c2882f454186a3d456e6381d228255c4f82f2056718d4fd3f4f3d367ad03e7a5"}}