{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4ZDYVDIJPFWLTIMK3D5NH55YGD","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":"7be86d4403d21d9cd31e777e6e586b0a71919a7d7f354ca1f44333d9be6fe1be","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-13T02:10:26Z","title_canon_sha256":"104d78cd004b1044c92400f04e45b5f0b0a3a055a1be1a6da0bc0d52d41020c7"},"schema_version":"1.0","source":{"id":"2410.09695","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.09695","created_at":"2026-07-05T09:44:15Z"},{"alias_kind":"arxiv_version","alias_value":"2410.09695v3","created_at":"2026-07-05T09:44:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.09695","created_at":"2026-07-05T09:44:15Z"},{"alias_kind":"pith_short_12","alias_value":"4ZDYVDIJPFWL","created_at":"2026-07-05T09:44:15Z"},{"alias_kind":"pith_short_16","alias_value":"4ZDYVDIJPFWLTIMK","created_at":"2026-07-05T09:44:15Z"},{"alias_kind":"pith_short_8","alias_value":"4ZDYVDIJ","created_at":"2026-07-05T09:44:15Z"}],"graph_snapshots":[{"event_id":"sha256:5af67caf6beba832b534dac3b95139b65cbbacfd63402a4df43140736ee2b468","target":"graph","created_at":"2026-07-05T09:44:15Z","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/2410.09695/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work, we explore the mechanism of in-context learning (ICL) on out-of-distribution (OOD) tasks that were not encountered during training. To achieve this, we conduct synthetic experiments where the objective is to learn OOD mathematical functions through ICL using a GPT-2 model. We reveal that Transformers may struggle to learn OOD task functions through ICL. Specifically, ICL performance resembles implementing a function within the pretraining hypothesis space and optimizing it with gradient descent based on the in-context examples. Additionally, we investigate ICL's well-documented a","authors_text":"Qixun Wang, Xianghua Ying, Yifei Wang, Yisen Wang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-13T02:10:26Z","title":"Can In-context Learning Really Generalize to Out-of-distribution Tasks?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.09695","kind":"arxiv","version":3},"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:c7cf344f6baf0d1d5d82b120985a865178b7825ea025cbc7b694db7e3fbb8ba8","target":"record","created_at":"2026-07-05T09:44:15Z","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":"7be86d4403d21d9cd31e777e6e586b0a71919a7d7f354ca1f44333d9be6fe1be","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-13T02:10:26Z","title_canon_sha256":"104d78cd004b1044c92400f04e45b5f0b0a3a055a1be1a6da0bc0d52d41020c7"},"schema_version":"1.0","source":{"id":"2410.09695","kind":"arxiv","version":3}},"canonical_sha256":"e6478a8d09796cb9a18ad8fad3f7b830dcd355a70d9166b7dca143cf19236998","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e6478a8d09796cb9a18ad8fad3f7b830dcd355a70d9166b7dca143cf19236998","first_computed_at":"2026-07-05T09:44:15.505582Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:44:15.505582Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ELGL8jBDzfJ4AcPxNzxugK2YOQgjE/g05dxGP+r9SNHvMGqun+OhNRuteLXflLmYubtimW8g4BMi6SlIOKTWAw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:44:15.506147Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.09695","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c7cf344f6baf0d1d5d82b120985a865178b7825ea025cbc7b694db7e3fbb8ba8","sha256:5af67caf6beba832b534dac3b95139b65cbbacfd63402a4df43140736ee2b468"],"state_sha256":"f61a25e3305ad30e996b82e2f10f36cf92403911ccd9f9ca93c9f302f395b940"}