{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:FJ6U2V5XJ6CDDM2NCLYKNP5MT4","short_pith_number":"pith:FJ6U2V5X","canonical_record":{"source":{"id":"2307.00132","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-30T20:54:41Z","cross_cats_sorted":[],"title_canon_sha256":"be49ad7959a8dfbc71db1986f1e1f85a6ccd7b424e3fe049df7de4abbe01cdb7","abstract_canon_sha256":"41c4b7b5f4ae566b52c58b5e3ca7319cb7d252aa15b9ea76aa31b93662e5b828"},"schema_version":"1.0"},"canonical_sha256":"2a7d4d57b74f8431b34d12f0a6bfac9f29a6f5e658d2d46bf072f7aa4fe7cba0","source":{"kind":"arxiv","id":"2307.00132","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.00132","created_at":"2026-07-05T06:26:51Z"},{"alias_kind":"arxiv_version","alias_value":"2307.00132v1","created_at":"2026-07-05T06:26:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.00132","created_at":"2026-07-05T06:26:51Z"},{"alias_kind":"pith_short_12","alias_value":"FJ6U2V5XJ6CD","created_at":"2026-07-05T06:26:51Z"},{"alias_kind":"pith_short_16","alias_value":"FJ6U2V5XJ6CDDM2N","created_at":"2026-07-05T06:26:51Z"},{"alias_kind":"pith_short_8","alias_value":"FJ6U2V5X","created_at":"2026-07-05T06:26:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:FJ6U2V5XJ6CDDM2NCLYKNP5MT4","target":"record","payload":{"canonical_record":{"source":{"id":"2307.00132","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-30T20:54:41Z","cross_cats_sorted":[],"title_canon_sha256":"be49ad7959a8dfbc71db1986f1e1f85a6ccd7b424e3fe049df7de4abbe01cdb7","abstract_canon_sha256":"41c4b7b5f4ae566b52c58b5e3ca7319cb7d252aa15b9ea76aa31b93662e5b828"},"schema_version":"1.0"},"canonical_sha256":"2a7d4d57b74f8431b34d12f0a6bfac9f29a6f5e658d2d46bf072f7aa4fe7cba0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:26:51.986101Z","signature_b64":"iA28KYWkvdgN0limTfJRZhZ0/nNH39ysKjstdgrB9wiTilvBORMPn3oRdVyh9rSsuuHjJjTp0SdnXupi9X1sAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2a7d4d57b74f8431b34d12f0a6bfac9f29a6f5e658d2d46bf072f7aa4fe7cba0","last_reissued_at":"2026-07-05T06:26:51.985657Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:26:51.985657Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.00132","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":"2026-07-05T06:26:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5eAbjrap9PmeWoinAhEcvqede3P4+jONajUkkWbpwgCqz8LsVVXTJ6xrE3yMwt07tfAS8KVWo+Vp7jaGWI/aAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T15:38:34.412690Z"},"content_sha256":"961bb49f899d24158ec2dbb1300be5791961616b147d8d4b4fb82c391145ecad","schema_version":"1.0","event_id":"sha256:961bb49f899d24158ec2dbb1300be5791961616b147d8d4b4fb82c391145ecad"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:FJ6U2V5XJ6CDDM2NCLYKNP5MT4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"iMETRE: Incorporating Markers of Entity Types for Relation Extraction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Manav Chaudhary, N Harsha Vardhan","submitted_at":"2023-06-30T20:54:41Z","abstract_excerpt":"Sentence-level relation extraction (RE) aims to identify the relationship between 2 entities given a contextual sentence. While there have been many attempts to solve this problem, the current solutions have a lot of room to improve. In this paper, we approach the task of relationship extraction in the financial dataset REFinD. Our approach incorporates typed entity markers representations and various models finetuned on the dataset, which has allowed us to achieve an F1 score of 69.65% on the validation set. Through this paper, we discuss various approaches and possible limitations."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.00132","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/2307.00132/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":"2026-07-05T06:26:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IshkTLThExZeykvfJl9H3yAkhQ2RItVpJUrG98pVPo5DvGYGh8UVLO2aVT0orvpV6XWj8mJwBuMF6q33wycSCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T15:38:34.413198Z"},"content_sha256":"e9035d9084af40672a9706861cb818d39999a98db760b67711cd057903c707b7","schema_version":"1.0","event_id":"sha256:e9035d9084af40672a9706861cb818d39999a98db760b67711cd057903c707b7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FJ6U2V5XJ6CDDM2NCLYKNP5MT4/bundle.json","state_url":"https://pith.science/pith/FJ6U2V5XJ6CDDM2NCLYKNP5MT4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FJ6U2V5XJ6CDDM2NCLYKNP5MT4/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":"2026-08-09T15:38:34Z","links":{"resolver":"https://pith.science/pith/FJ6U2V5XJ6CDDM2NCLYKNP5MT4","bundle":"https://pith.science/pith/FJ6U2V5XJ6CDDM2NCLYKNP5MT4/bundle.json","state":"https://pith.science/pith/FJ6U2V5XJ6CDDM2NCLYKNP5MT4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FJ6U2V5XJ6CDDM2NCLYKNP5MT4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:FJ6U2V5XJ6CDDM2NCLYKNP5MT4","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":"41c4b7b5f4ae566b52c58b5e3ca7319cb7d252aa15b9ea76aa31b93662e5b828","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-30T20:54:41Z","title_canon_sha256":"be49ad7959a8dfbc71db1986f1e1f85a6ccd7b424e3fe049df7de4abbe01cdb7"},"schema_version":"1.0","source":{"id":"2307.00132","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.00132","created_at":"2026-07-05T06:26:51Z"},{"alias_kind":"arxiv_version","alias_value":"2307.00132v1","created_at":"2026-07-05T06:26:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.00132","created_at":"2026-07-05T06:26:51Z"},{"alias_kind":"pith_short_12","alias_value":"FJ6U2V5XJ6CD","created_at":"2026-07-05T06:26:51Z"},{"alias_kind":"pith_short_16","alias_value":"FJ6U2V5XJ6CDDM2N","created_at":"2026-07-05T06:26:51Z"},{"alias_kind":"pith_short_8","alias_value":"FJ6U2V5X","created_at":"2026-07-05T06:26:51Z"}],"graph_snapshots":[{"event_id":"sha256:e9035d9084af40672a9706861cb818d39999a98db760b67711cd057903c707b7","target":"graph","created_at":"2026-07-05T06:26:51Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2307.00132/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sentence-level relation extraction (RE) aims to identify the relationship between 2 entities given a contextual sentence. While there have been many attempts to solve this problem, the current solutions have a lot of room to improve. In this paper, we approach the task of relationship extraction in the financial dataset REFinD. Our approach incorporates typed entity markers representations and various models finetuned on the dataset, which has allowed us to achieve an F1 score of 69.65% on the validation set. Through this paper, we discuss various approaches and possible limitations.","authors_text":"Manav Chaudhary, N Harsha Vardhan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-30T20:54:41Z","title":"iMETRE: Incorporating Markers of Entity Types for Relation Extraction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.00132","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":"sha256:961bb49f899d24158ec2dbb1300be5791961616b147d8d4b4fb82c391145ecad","target":"record","created_at":"2026-07-05T06:26:51Z","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":"41c4b7b5f4ae566b52c58b5e3ca7319cb7d252aa15b9ea76aa31b93662e5b828","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-30T20:54:41Z","title_canon_sha256":"be49ad7959a8dfbc71db1986f1e1f85a6ccd7b424e3fe049df7de4abbe01cdb7"},"schema_version":"1.0","source":{"id":"2307.00132","kind":"arxiv","version":1}},"canonical_sha256":"2a7d4d57b74f8431b34d12f0a6bfac9f29a6f5e658d2d46bf072f7aa4fe7cba0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2a7d4d57b74f8431b34d12f0a6bfac9f29a6f5e658d2d46bf072f7aa4fe7cba0","first_computed_at":"2026-07-05T06:26:51.985657Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:26:51.985657Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iA28KYWkvdgN0limTfJRZhZ0/nNH39ysKjstdgrB9wiTilvBORMPn3oRdVyh9rSsuuHjJjTp0SdnXupi9X1sAw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:26:51.986101Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.00132","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:961bb49f899d24158ec2dbb1300be5791961616b147d8d4b4fb82c391145ecad","sha256:e9035d9084af40672a9706861cb818d39999a98db760b67711cd057903c707b7"],"state_sha256":"f1c205a722b59c3fd31c54e68cf745f849807b9a9061045d84832c0af076e307"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XSWH9Ppiwpx9vsGjTCv6kpSTAWtbcYOeY8eg+NGt35e0cDrTf0pJjv6ohelgrFgPCok0J8CCFz1M9/BvufPMBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T15:38:34.418276Z","bundle_sha256":"8bcd910eaa533df0f2b6d206c96cc7b8847a7fc2db6130298180d59fa6fdf5b4"}}