{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:72SON26S74CW5K5T2PGWII2Z6W","short_pith_number":"pith:72SON26S","canonical_record":{"source":{"id":"2310.11644","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-18T01:06:01Z","cross_cats_sorted":[],"title_canon_sha256":"0f19372a4c5e71e3727c7d731b5c9f31f42d040cdd426660271dcaae40f20eea","abstract_canon_sha256":"11ad9a47de3bc72e20d1e1b8e035ca0d68b7445a0bdba68fc425a6906840837e"},"schema_version":"1.0"},"canonical_sha256":"fea4e6ebd2ff056eabb3d3cd642359f595f44e455202aacdd06c2b0cf4e7f460","source":{"kind":"arxiv","id":"2310.11644","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.11644","created_at":"2026-07-05T07:02:10Z"},{"alias_kind":"arxiv_version","alias_value":"2310.11644v1","created_at":"2026-07-05T07:02:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.11644","created_at":"2026-07-05T07:02:10Z"},{"alias_kind":"pith_short_12","alias_value":"72SON26S74CW","created_at":"2026-07-05T07:02:10Z"},{"alias_kind":"pith_short_16","alias_value":"72SON26S74CW5K5T","created_at":"2026-07-05T07:02:10Z"},{"alias_kind":"pith_short_8","alias_value":"72SON26S","created_at":"2026-07-05T07:02:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:72SON26S74CW5K5T2PGWII2Z6W","target":"record","payload":{"canonical_record":{"source":{"id":"2310.11644","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-18T01:06:01Z","cross_cats_sorted":[],"title_canon_sha256":"0f19372a4c5e71e3727c7d731b5c9f31f42d040cdd426660271dcaae40f20eea","abstract_canon_sha256":"11ad9a47de3bc72e20d1e1b8e035ca0d68b7445a0bdba68fc425a6906840837e"},"schema_version":"1.0"},"canonical_sha256":"fea4e6ebd2ff056eabb3d3cd642359f595f44e455202aacdd06c2b0cf4e7f460","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:02:10.438704Z","signature_b64":"s9NDQoKoiqehXA2zaQiLd7u2fpSLKqaRZMhb8sJaHwnRWY5tc62MDp7AxJC1rW6YK+gUMFLPqLnCrQhjOmw5DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fea4e6ebd2ff056eabb3d3cd642359f595f44e455202aacdd06c2b0cf4e7f460","last_reissued_at":"2026-07-05T07:02:10.438249Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:02:10.438249Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.11644","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":"2026-07-05T07:02:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oh83arzLDtjcU8jzEfMHe9TglKPVFX0gty+I76q3cTwiCLKhuD2iKuXjJXxAlotVSrlHg2yBu3e7Z3EBv+c5BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T09:52:33.318703Z"},"content_sha256":"967d1cf0250d1199346a973b9de92fb1e1e42532bf5b950ca7e4a70e27b6cad1","schema_version":"1.0","event_id":"sha256:967d1cf0250d1199346a973b9de92fb1e1e42532bf5b950ca7e4a70e27b6cad1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:72SON26S74CW5K5T2PGWII2Z6W","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Open Information Extraction: A Review of Baseline Techniques, Approaches, and Applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Morteza Fayazi, Ronald Dreslinski, Serafina Kamp, Shuyan Yu, Zineb Benameur-El","submitted_at":"2023-10-18T01:06:01Z","abstract_excerpt":"With the abundant amount of available online and offline text data, there arises a crucial need to extract the relation between phrases and summarize the main content of each document in a few words. For this purpose, there have been many studies recently in Open Information Extraction (OIE). OIE improves upon relation extraction techniques by analyzing relations across different domains and avoids requiring hand-labeling pre-specified relations in sentences. This paper surveys recent approaches of OIE and its applications on Knowledge Graph (KG), text summarization, and Question Answering (QA"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.11644","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/2310.11644/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":"2026-07-05T07:02:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l962mdB7sD84aCT+eMolvhkh+61NZkqDeunxdrTbMne0fhLtQy5ZyeLdJQm7YIxivoAlPZhV9B9QiUOgu+OdBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T09:52:33.319219Z"},"content_sha256":"f1ff9d0fef99bf10b599b2e64bced6f0eafc819842f97520a7ace79e035e94cc","schema_version":"1.0","event_id":"sha256:f1ff9d0fef99bf10b599b2e64bced6f0eafc819842f97520a7ace79e035e94cc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/72SON26S74CW5K5T2PGWII2Z6W/bundle.json","state_url":"https://pith.science/pith/72SON26S74CW5K5T2PGWII2Z6W/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/72SON26S74CW5K5T2PGWII2Z6W/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":"2026-08-05T09:52:33Z","links":{"resolver":"https://pith.science/pith/72SON26S74CW5K5T2PGWII2Z6W","bundle":"https://pith.science/pith/72SON26S74CW5K5T2PGWII2Z6W/bundle.json","state":"https://pith.science/pith/72SON26S74CW5K5T2PGWII2Z6W/state.json","well_known_bundle":"https://pith.science/.well-known/pith/72SON26S74CW5K5T2PGWII2Z6W/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:72SON26S74CW5K5T2PGWII2Z6W","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":"11ad9a47de3bc72e20d1e1b8e035ca0d68b7445a0bdba68fc425a6906840837e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-18T01:06:01Z","title_canon_sha256":"0f19372a4c5e71e3727c7d731b5c9f31f42d040cdd426660271dcaae40f20eea"},"schema_version":"1.0","source":{"id":"2310.11644","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.11644","created_at":"2026-07-05T07:02:10Z"},{"alias_kind":"arxiv_version","alias_value":"2310.11644v1","created_at":"2026-07-05T07:02:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.11644","created_at":"2026-07-05T07:02:10Z"},{"alias_kind":"pith_short_12","alias_value":"72SON26S74CW","created_at":"2026-07-05T07:02:10Z"},{"alias_kind":"pith_short_16","alias_value":"72SON26S74CW5K5T","created_at":"2026-07-05T07:02:10Z"},{"alias_kind":"pith_short_8","alias_value":"72SON26S","created_at":"2026-07-05T07:02:10Z"}],"graph_snapshots":[{"event_id":"sha256:f1ff9d0fef99bf10b599b2e64bced6f0eafc819842f97520a7ace79e035e94cc","target":"graph","created_at":"2026-07-05T07:02:10Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2310.11644/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the abundant amount of available online and offline text data, there arises a crucial need to extract the relation between phrases and summarize the main content of each document in a few words. For this purpose, there have been many studies recently in Open Information Extraction (OIE). OIE improves upon relation extraction techniques by analyzing relations across different domains and avoids requiring hand-labeling pre-specified relations in sentences. This paper surveys recent approaches of OIE and its applications on Knowledge Graph (KG), text summarization, and Question Answering (QA","authors_text":"Morteza Fayazi, Ronald Dreslinski, Serafina Kamp, Shuyan Yu, Zineb Benameur-El","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-18T01:06:01Z","title":"Open Information Extraction: A Review of Baseline Techniques, Approaches, and Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.11644","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":"sha256:967d1cf0250d1199346a973b9de92fb1e1e42532bf5b950ca7e4a70e27b6cad1","target":"record","created_at":"2026-07-05T07:02:10Z","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":"11ad9a47de3bc72e20d1e1b8e035ca0d68b7445a0bdba68fc425a6906840837e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-18T01:06:01Z","title_canon_sha256":"0f19372a4c5e71e3727c7d731b5c9f31f42d040cdd426660271dcaae40f20eea"},"schema_version":"1.0","source":{"id":"2310.11644","kind":"arxiv","version":1}},"canonical_sha256":"fea4e6ebd2ff056eabb3d3cd642359f595f44e455202aacdd06c2b0cf4e7f460","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fea4e6ebd2ff056eabb3d3cd642359f595f44e455202aacdd06c2b0cf4e7f460","first_computed_at":"2026-07-05T07:02:10.438249Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:02:10.438249Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"s9NDQoKoiqehXA2zaQiLd7u2fpSLKqaRZMhb8sJaHwnRWY5tc62MDp7AxJC1rW6YK+gUMFLPqLnCrQhjOmw5DA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:02:10.438704Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.11644","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:967d1cf0250d1199346a973b9de92fb1e1e42532bf5b950ca7e4a70e27b6cad1","sha256:f1ff9d0fef99bf10b599b2e64bced6f0eafc819842f97520a7ace79e035e94cc"],"state_sha256":"484aef0f427c057c15c1b09fd1a829afd1b02009ee58f055edfa4852bf4aa039"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kkbq/Wh2UUuCOWGH7KsUsqRJK3FmF6JFoe6UckXKniqPgx57uS5n+Z0m7/seoMQ31DH9Dvoytb6XGU0sXdipAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T09:52:33.322917Z","bundle_sha256":"b41eae1d0945d42d8b758bbecf39443802cf0c7b167c21d759cb7ae7811e5c02"}}