{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ZFJTH24CK6ZCWRKQKN4757WBJL","short_pith_number":"pith:ZFJTH24C","canonical_record":{"source":{"id":"2309.01370","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-09-04T05:36:58Z","cross_cats_sorted":["cs.AI","cs.IR","cs.LG"],"title_canon_sha256":"02f1a3a340628ffb88ef53ef3fc888b34caf206cf434f2f4a5474b6c28a34592","abstract_canon_sha256":"e52f2830984e7b4d1ad3dbd47627c154439bf35e2208711611954286321638ab"},"schema_version":"1.0"},"canonical_sha256":"c95333eb8257b22b45505379fefec14ac4161a9e3e9ea8c8b5f7c3bb610284df","source":{"kind":"arxiv","id":"2309.01370","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.01370","created_at":"2026-07-05T06:47:36Z"},{"alias_kind":"arxiv_version","alias_value":"2309.01370v1","created_at":"2026-07-05T06:47:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.01370","created_at":"2026-07-05T06:47:36Z"},{"alias_kind":"pith_short_12","alias_value":"ZFJTH24CK6ZC","created_at":"2026-07-05T06:47:36Z"},{"alias_kind":"pith_short_16","alias_value":"ZFJTH24CK6ZCWRKQ","created_at":"2026-07-05T06:47:36Z"},{"alias_kind":"pith_short_8","alias_value":"ZFJTH24C","created_at":"2026-07-05T06:47:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ZFJTH24CK6ZCWRKQKN4757WBJL","target":"record","payload":{"canonical_record":{"source":{"id":"2309.01370","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-09-04T05:36:58Z","cross_cats_sorted":["cs.AI","cs.IR","cs.LG"],"title_canon_sha256":"02f1a3a340628ffb88ef53ef3fc888b34caf206cf434f2f4a5474b6c28a34592","abstract_canon_sha256":"e52f2830984e7b4d1ad3dbd47627c154439bf35e2208711611954286321638ab"},"schema_version":"1.0"},"canonical_sha256":"c95333eb8257b22b45505379fefec14ac4161a9e3e9ea8c8b5f7c3bb610284df","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:47:36.929335Z","signature_b64":"r+3pNtorvEwgg5yO1e8M+qSEma/LGPaxBtKKz5rzu2BRkR9DacdFktuUP7bB33WYYdqVjXuDCBUpJPQlYIVhAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c95333eb8257b22b45505379fefec14ac4161a9e3e9ea8c8b5f7c3bb610284df","last_reissued_at":"2026-07-05T06:47:36.928877Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:47:36.928877Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.01370","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":"2026-07-05T06:47:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f5v92VlEsDDVaSKaiRUsNFefuEK4DH1wfRD461T6my0r12fdu/YfgLrkgk3FMkA+zdwsCYw0HEVfJsTg+CYtBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T22:17:36.276521Z"},"content_sha256":"04a7398fc9a0b3324344bc6f1a01e92bb1e5b42e56b01e68f6a8dd2bbf45bb4f","schema_version":"1.0","event_id":"sha256:04a7398fc9a0b3324344bc6f1a01e92bb1e5b42e56b01e68f6a8dd2bbf45bb4f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ZFJTH24CK6ZCWRKQKN4757WBJL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ReOnto: A Neuro-Symbolic Approach for Biomedical Relation Extraction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.IR","cs.LG"],"primary_cat":"cs.CL","authors_text":"Kuldeep Singh, Monika Jain, Raghava Mutharaju","submitted_at":"2023-09-04T05:36:58Z","abstract_excerpt":"Relation Extraction (RE) is the task of extracting semantic relationships between entities in a sentence and aligning them to relations defined in a vocabulary, which is generally in the form of a Knowledge Graph (KG) or an ontology. Various approaches have been proposed so far to address this task. However, applying these techniques to biomedical text often yields unsatisfactory results because it is hard to infer relations directly from sentences due to the nature of the biomedical relations. To address these issues, we present a novel technique called ReOnto, that makes use of neuro symboli"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.01370","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/2309.01370/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":"2026-07-05T06:47:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tJ3QRkm1CQ5Tv0OXJBL3Rt2598ftT/bdwmHtBSrXdqRlwmwlhAYZ9E9nmdXzr6fktrAt2frFsjn66mBMuxHoDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T22:17:36.277027Z"},"content_sha256":"2ca10f106c2f9f642b8bf67ede4b25c4d23ecdf12b13274e7163563045509366","schema_version":"1.0","event_id":"sha256:2ca10f106c2f9f642b8bf67ede4b25c4d23ecdf12b13274e7163563045509366"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZFJTH24CK6ZCWRKQKN4757WBJL/bundle.json","state_url":"https://pith.science/pith/ZFJTH24CK6ZCWRKQKN4757WBJL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZFJTH24CK6ZCWRKQKN4757WBJL/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":"2026-08-03T22:17:36Z","links":{"resolver":"https://pith.science/pith/ZFJTH24CK6ZCWRKQKN4757WBJL","bundle":"https://pith.science/pith/ZFJTH24CK6ZCWRKQKN4757WBJL/bundle.json","state":"https://pith.science/pith/ZFJTH24CK6ZCWRKQKN4757WBJL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZFJTH24CK6ZCWRKQKN4757WBJL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZFJTH24CK6ZCWRKQKN4757WBJL","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":"e52f2830984e7b4d1ad3dbd47627c154439bf35e2208711611954286321638ab","cross_cats_sorted":["cs.AI","cs.IR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-09-04T05:36:58Z","title_canon_sha256":"02f1a3a340628ffb88ef53ef3fc888b34caf206cf434f2f4a5474b6c28a34592"},"schema_version":"1.0","source":{"id":"2309.01370","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.01370","created_at":"2026-07-05T06:47:36Z"},{"alias_kind":"arxiv_version","alias_value":"2309.01370v1","created_at":"2026-07-05T06:47:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.01370","created_at":"2026-07-05T06:47:36Z"},{"alias_kind":"pith_short_12","alias_value":"ZFJTH24CK6ZC","created_at":"2026-07-05T06:47:36Z"},{"alias_kind":"pith_short_16","alias_value":"ZFJTH24CK6ZCWRKQ","created_at":"2026-07-05T06:47:36Z"},{"alias_kind":"pith_short_8","alias_value":"ZFJTH24C","created_at":"2026-07-05T06:47:36Z"}],"graph_snapshots":[{"event_id":"sha256:2ca10f106c2f9f642b8bf67ede4b25c4d23ecdf12b13274e7163563045509366","target":"graph","created_at":"2026-07-05T06:47:36Z","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/2309.01370/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Relation Extraction (RE) is the task of extracting semantic relationships between entities in a sentence and aligning them to relations defined in a vocabulary, which is generally in the form of a Knowledge Graph (KG) or an ontology. Various approaches have been proposed so far to address this task. However, applying these techniques to biomedical text often yields unsatisfactory results because it is hard to infer relations directly from sentences due to the nature of the biomedical relations. To address these issues, we present a novel technique called ReOnto, that makes use of neuro symboli","authors_text":"Kuldeep Singh, Monika Jain, Raghava Mutharaju","cross_cats":["cs.AI","cs.IR","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-09-04T05:36:58Z","title":"ReOnto: A Neuro-Symbolic Approach for Biomedical Relation Extraction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.01370","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":"sha256:04a7398fc9a0b3324344bc6f1a01e92bb1e5b42e56b01e68f6a8dd2bbf45bb4f","target":"record","created_at":"2026-07-05T06:47:36Z","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":"e52f2830984e7b4d1ad3dbd47627c154439bf35e2208711611954286321638ab","cross_cats_sorted":["cs.AI","cs.IR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-09-04T05:36:58Z","title_canon_sha256":"02f1a3a340628ffb88ef53ef3fc888b34caf206cf434f2f4a5474b6c28a34592"},"schema_version":"1.0","source":{"id":"2309.01370","kind":"arxiv","version":1}},"canonical_sha256":"c95333eb8257b22b45505379fefec14ac4161a9e3e9ea8c8b5f7c3bb610284df","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c95333eb8257b22b45505379fefec14ac4161a9e3e9ea8c8b5f7c3bb610284df","first_computed_at":"2026-07-05T06:47:36.928877Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:47:36.928877Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"r+3pNtorvEwgg5yO1e8M+qSEma/LGPaxBtKKz5rzu2BRkR9DacdFktuUP7bB33WYYdqVjXuDCBUpJPQlYIVhAw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:47:36.929335Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.01370","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:04a7398fc9a0b3324344bc6f1a01e92bb1e5b42e56b01e68f6a8dd2bbf45bb4f","sha256:2ca10f106c2f9f642b8bf67ede4b25c4d23ecdf12b13274e7163563045509366"],"state_sha256":"fa45e0c6adf459cceaeaf58951a4a5befcbd3c5e44a8f4bbd4211c021bb33cd7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U6dgmYbKwSJyR4DKrY4CdVTZU8yLGUtaDUtV0CYj3F//RsxlFqgivZPAd7MZ/678F0UST97UbESAioiog/8qBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T22:17:36.282562Z","bundle_sha256":"ebc4e350f0ec0f72bf3fdfe06d98fced7a98a424839d750fc5574ac49a1130ca"}}