{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:77O7WU3A22K6GF5VN7MAIVMTD5","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":"2e1b49ac7b48937d61f61d502c902c364abcaba7daf42295c49393082dd11a5f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-03-14T08:18:59Z","title_canon_sha256":"db821abc34ccbf0a9b8d8182b68fceaf5267d7b8d7242a345339d7743f9485ff"},"schema_version":"1.0","source":{"id":"2403.09162","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.09162","created_at":"2026-07-05T07:56:06Z"},{"alias_kind":"arxiv_version","alias_value":"2403.09162v1","created_at":"2026-07-05T07:56:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.09162","created_at":"2026-07-05T07:56:06Z"},{"alias_kind":"pith_short_12","alias_value":"77O7WU3A22K6","created_at":"2026-07-05T07:56:06Z"},{"alias_kind":"pith_short_16","alias_value":"77O7WU3A22K6GF5V","created_at":"2026-07-05T07:56:06Z"},{"alias_kind":"pith_short_8","alias_value":"77O7WU3A","created_at":"2026-07-05T07:56:06Z"}],"graph_snapshots":[{"event_id":"sha256:ad03233f28e8f49b063896d7d4cc5929df13be32a7a8b862b9a3a036e3e8c37d","target":"graph","created_at":"2026-07-05T07:56:06Z","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/2403.09162/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While Large Language Models (LLMs) have demonstrated exceptional multitasking abilities, fine-tuning these models on downstream, domain-specific datasets is often necessary to yield superior performance on test sets compared to their counterparts without fine-tuning. However, the comprehensive effects of fine-tuning on the LLMs' generalization ability are not fully understood. This paper delves into the differences between original, unmodified LLMs and their fine-tuned variants. Our primary investigation centers on whether fine-tuning affects the generalization ability intrinsic to LLMs. To el","authors_text":"Haoran Yang, Hongyuan Lu, Jiaqi Xu, Pheng Ann Heng, Wai Lam, Yumeng Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-03-14T08:18:59Z","title":"Unveiling the Generalization Power of Fine-Tuned Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.09162","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:a6e2e5ef669ce3544ac86b6e4f7bb136653f34bf9cef33ba89ae56a909aff4e3","target":"record","created_at":"2026-07-05T07:56:06Z","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":"2e1b49ac7b48937d61f61d502c902c364abcaba7daf42295c49393082dd11a5f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-03-14T08:18:59Z","title_canon_sha256":"db821abc34ccbf0a9b8d8182b68fceaf5267d7b8d7242a345339d7743f9485ff"},"schema_version":"1.0","source":{"id":"2403.09162","kind":"arxiv","version":1}},"canonical_sha256":"ffddfb5360d695e317b56fd80455931f756f2545615813fe59b0272bdc264d4b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ffddfb5360d695e317b56fd80455931f756f2545615813fe59b0272bdc264d4b","first_computed_at":"2026-07-05T07:56:06.169347Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:56:06.169347Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+VkHSqC+UmlnIYkpz1A+YyezGtr9Pdi79/ekHwWkYy7/+lAziheuWc7Y18GQYB+PrA66KajSBHJU3vTTpSCrCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:56:06.169692Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.09162","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a6e2e5ef669ce3544ac86b6e4f7bb136653f34bf9cef33ba89ae56a909aff4e3","sha256:ad03233f28e8f49b063896d7d4cc5929df13be32a7a8b862b9a3a036e3e8c37d"],"state_sha256":"99734e916d9a6a7e95561238e39f355c82d775f88caca5b142f631919d36a1a6"}