{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:B4RBA4D2NBCUHJUPY4AUTUOBUU","short_pith_number":"pith:B4RBA4D2","canonical_record":{"source":{"id":"2305.11159","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-18T17:48:03Z","cross_cats_sorted":[],"title_canon_sha256":"e50db36e21d0714a3a34983fc4946bcf187ddf3a69d58fb56bebd66bab1989b5","abstract_canon_sha256":"0a15da785c93a280a7e1dc649c0a367a6ae234f0b208ca3ac095fb76239aab8d"},"schema_version":"1.0"},"canonical_sha256":"0f2210707a684543a68fc70149d1c1a535a169b08e46a85a8898eaef91947259","source":{"kind":"arxiv","id":"2305.11159","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.11159","created_at":"2026-07-05T06:11:30Z"},{"alias_kind":"arxiv_version","alias_value":"2305.11159v1","created_at":"2026-07-05T06:11:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.11159","created_at":"2026-07-05T06:11:30Z"},{"alias_kind":"pith_short_12","alias_value":"B4RBA4D2NBCU","created_at":"2026-07-05T06:11:30Z"},{"alias_kind":"pith_short_16","alias_value":"B4RBA4D2NBCUHJUP","created_at":"2026-07-05T06:11:30Z"},{"alias_kind":"pith_short_8","alias_value":"B4RBA4D2","created_at":"2026-07-05T06:11:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:B4RBA4D2NBCUHJUPY4AUTUOBUU","target":"record","payload":{"canonical_record":{"source":{"id":"2305.11159","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-18T17:48:03Z","cross_cats_sorted":[],"title_canon_sha256":"e50db36e21d0714a3a34983fc4946bcf187ddf3a69d58fb56bebd66bab1989b5","abstract_canon_sha256":"0a15da785c93a280a7e1dc649c0a367a6ae234f0b208ca3ac095fb76239aab8d"},"schema_version":"1.0"},"canonical_sha256":"0f2210707a684543a68fc70149d1c1a535a169b08e46a85a8898eaef91947259","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:11:30.918100Z","signature_b64":"ixkkLYlalsy1PWOEHwK5i8rkmIRE4J2Glh2ScaTLqStkmXujFMpePSH9fD6togmFZXd0Erjm2wxx9mQpdrkSBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0f2210707a684543a68fc70149d1c1a535a169b08e46a85a8898eaef91947259","last_reissued_at":"2026-07-05T06:11:30.917694Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:11:30.917694Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.11159","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":"2026-07-05T06:11:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IQ/JpqUrK4QfwEiPm4TP0EmdhRR16+7uad+FiVak6VxQm3dZ+Fj+9qWjXOtZi9LEgHgltKVZZ4idIK7WouzhBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:32:12.515829Z"},"content_sha256":"72d093dfb98f2ad5261188f5e2cfcf1ed78d04016de1eeb5f49a570762d72513","schema_version":"1.0","event_id":"sha256:72d093dfb98f2ad5261188f5e2cfcf1ed78d04016de1eeb5f49a570762d72513"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:B4RBA4D2NBCUHJUPY4AUTUOBUU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Bernal Jim\\'enez Guti\\'errez, Kai Zhang, Yu Su","submitted_at":"2023-05-18T17:48:03Z","abstract_excerpt":"Recent work has shown that fine-tuning large language models (LLMs) on large-scale instruction-following datasets substantially improves their performance on a wide range of NLP tasks, especially in the zero-shot setting. However, even advanced instruction-tuned LLMs still fail to outperform small LMs on relation extraction (RE), a fundamental information extraction task. We hypothesize that instruction-tuning has been unable to elicit strong RE capabilities in LLMs due to RE's low incidence in instruction-tuning datasets, making up less than 1% of all tasks (Wang et al., 2022). To address thi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.11159","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/2305.11159/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":"2026-07-05T06:11:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/xEDfdTBRM7CL4TtlEfVOATumAzJS/2LkgCFwZfJAccvxNc44Z7VTbR5Q0RW70rhivmlKDQcELw5Ykp0z6irBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:32:12.516330Z"},"content_sha256":"5bc9b5e8f873a5359b958a5658886a01ee5f22d705ceaf8b46b4a203d2c8201f","schema_version":"1.0","event_id":"sha256:5bc9b5e8f873a5359b958a5658886a01ee5f22d705ceaf8b46b4a203d2c8201f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/B4RBA4D2NBCUHJUPY4AUTUOBUU/bundle.json","state_url":"https://pith.science/pith/B4RBA4D2NBCUHJUPY4AUTUOBUU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/B4RBA4D2NBCUHJUPY4AUTUOBUU/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":"2026-08-08T13:32:12Z","links":{"resolver":"https://pith.science/pith/B4RBA4D2NBCUHJUPY4AUTUOBUU","bundle":"https://pith.science/pith/B4RBA4D2NBCUHJUPY4AUTUOBUU/bundle.json","state":"https://pith.science/pith/B4RBA4D2NBCUHJUPY4AUTUOBUU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/B4RBA4D2NBCUHJUPY4AUTUOBUU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:B4RBA4D2NBCUHJUPY4AUTUOBUU","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":"0a15da785c93a280a7e1dc649c0a367a6ae234f0b208ca3ac095fb76239aab8d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-18T17:48:03Z","title_canon_sha256":"e50db36e21d0714a3a34983fc4946bcf187ddf3a69d58fb56bebd66bab1989b5"},"schema_version":"1.0","source":{"id":"2305.11159","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.11159","created_at":"2026-07-05T06:11:30Z"},{"alias_kind":"arxiv_version","alias_value":"2305.11159v1","created_at":"2026-07-05T06:11:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.11159","created_at":"2026-07-05T06:11:30Z"},{"alias_kind":"pith_short_12","alias_value":"B4RBA4D2NBCU","created_at":"2026-07-05T06:11:30Z"},{"alias_kind":"pith_short_16","alias_value":"B4RBA4D2NBCUHJUP","created_at":"2026-07-05T06:11:30Z"},{"alias_kind":"pith_short_8","alias_value":"B4RBA4D2","created_at":"2026-07-05T06:11:30Z"}],"graph_snapshots":[{"event_id":"sha256:5bc9b5e8f873a5359b958a5658886a01ee5f22d705ceaf8b46b4a203d2c8201f","target":"graph","created_at":"2026-07-05T06:11:30Z","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/2305.11159/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent work has shown that fine-tuning large language models (LLMs) on large-scale instruction-following datasets substantially improves their performance on a wide range of NLP tasks, especially in the zero-shot setting. However, even advanced instruction-tuned LLMs still fail to outperform small LMs on relation extraction (RE), a fundamental information extraction task. We hypothesize that instruction-tuning has been unable to elicit strong RE capabilities in LLMs due to RE's low incidence in instruction-tuning datasets, making up less than 1% of all tasks (Wang et al., 2022). To address thi","authors_text":"Bernal Jim\\'enez Guti\\'errez, Kai Zhang, Yu Su","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-18T17:48:03Z","title":"Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.11159","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":"sha256:72d093dfb98f2ad5261188f5e2cfcf1ed78d04016de1eeb5f49a570762d72513","target":"record","created_at":"2026-07-05T06:11:30Z","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":"0a15da785c93a280a7e1dc649c0a367a6ae234f0b208ca3ac095fb76239aab8d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-18T17:48:03Z","title_canon_sha256":"e50db36e21d0714a3a34983fc4946bcf187ddf3a69d58fb56bebd66bab1989b5"},"schema_version":"1.0","source":{"id":"2305.11159","kind":"arxiv","version":1}},"canonical_sha256":"0f2210707a684543a68fc70149d1c1a535a169b08e46a85a8898eaef91947259","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0f2210707a684543a68fc70149d1c1a535a169b08e46a85a8898eaef91947259","first_computed_at":"2026-07-05T06:11:30.917694Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:11:30.917694Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ixkkLYlalsy1PWOEHwK5i8rkmIRE4J2Glh2ScaTLqStkmXujFMpePSH9fD6togmFZXd0Erjm2wxx9mQpdrkSBw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:11:30.918100Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.11159","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:72d093dfb98f2ad5261188f5e2cfcf1ed78d04016de1eeb5f49a570762d72513","sha256:5bc9b5e8f873a5359b958a5658886a01ee5f22d705ceaf8b46b4a203d2c8201f"],"state_sha256":"e8677641bda0dfda52d52a57687f594df293ae1ab8d943a733c963b0ea8ddfb1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IdR1Wq95ZBWZvLphCXEOW4w4hd1+HmbkxMPwmFQNeLHhYNshjVq7vmiBiMPUR02OU+uGnvSWmHgVkPJlSQfsBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T13:32:12.519724Z","bundle_sha256":"b93de92829e3b0f3a9a3fc97ef6d84c21a81d2dddc23eca79e779e57cfc11c58"}}