{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DOFG4J3KTGM5FXKUXLVNNMJR7B","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":"708db0f4b5931ef984388a79cbb2aa42e49e09ee3d71244b77a8098ba5c8743b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-30T15:57:19Z","title_canon_sha256":"a3f84f6d43a2ed0cc4cb7777e2c675d5b57086fb5d280fed27415c31586f6347"},"schema_version":"1.0","source":{"id":"2405.20192","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.20192","created_at":"2026-07-05T09:21:44Z"},{"alias_kind":"arxiv_version","alias_value":"2405.20192v2","created_at":"2026-07-05T09:21:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.20192","created_at":"2026-07-05T09:21:44Z"},{"alias_kind":"pith_short_12","alias_value":"DOFG4J3KTGM5","created_at":"2026-07-05T09:21:44Z"},{"alias_kind":"pith_short_16","alias_value":"DOFG4J3KTGM5FXKU","created_at":"2026-07-05T09:21:44Z"},{"alias_kind":"pith_short_8","alias_value":"DOFG4J3K","created_at":"2026-07-05T09:21:44Z"}],"graph_snapshots":[{"event_id":"sha256:3c46cbaa6f95262247c5b5f2ecbfaa82eb544b3a888e78ff27481f1f689c4b00","target":"graph","created_at":"2026-07-05T09:21:44Z","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/2405.20192/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Fine-tuning on task-specific question-answer pairs is a predominant method for enhancing the performance of instruction-tuned large language models (LLMs) on downstream tasks. However, in certain specialized domains, such as healthcare or harmless content generation, it is nearly impossible to obtain a large volume of high-quality data that matches the downstream distribution. To improve the performance of LLMs in data-scarce domains with domain-mismatched data, we re-evaluated the Transformer architecture and discovered that not all parameter updates during fine-tuning contribute positively t","authors_text":"Shuyang Jiang, Yanfeng Wang, Ya Zhang, Yusheng Liao, Yu Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-30T15:57:19Z","title":"TAIA: Large Language Models are Out-of-Distribution Data Learners"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.20192","kind":"arxiv","version":2},"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:def016657ca8ded99926cda3e136e53b4aeed1dde9ac912f2384957d619a00c6","target":"record","created_at":"2026-07-05T09:21:44Z","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":"708db0f4b5931ef984388a79cbb2aa42e49e09ee3d71244b77a8098ba5c8743b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-30T15:57:19Z","title_canon_sha256":"a3f84f6d43a2ed0cc4cb7777e2c675d5b57086fb5d280fed27415c31586f6347"},"schema_version":"1.0","source":{"id":"2405.20192","kind":"arxiv","version":2}},"canonical_sha256":"1b8a6e276a9999d2dd54baead6b131f852e09e491d1d5a77d2aa5b0f7f58c3ee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1b8a6e276a9999d2dd54baead6b131f852e09e491d1d5a77d2aa5b0f7f58c3ee","first_computed_at":"2026-07-05T09:21:44.817888Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:21:44.817888Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qZFwRnp9zv/PQWPm2fC2+bqwm6q3ezNxX15VKpI1Qvujgm0kqbqLbbmwLV4OyA9z08joBdXKz5ARaToB4eJADQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:21:44.818414Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.20192","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:def016657ca8ded99926cda3e136e53b4aeed1dde9ac912f2384957d619a00c6","sha256:3c46cbaa6f95262247c5b5f2ecbfaa82eb544b3a888e78ff27481f1f689c4b00"],"state_sha256":"c3363bdc00499f5d09f5790a64fceaedb75bba152e1e7e9a7d3040a8c68b01a5"}