{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:FGFNE7RQCHMLFHSZGDDYLPSBR4","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":"586c03b149a8c77a77da693a96f43bacc4a5734287f5f7872f3bddf0a1f23985","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-12-03T20:53:41Z","title_canon_sha256":"8418f8435cc48e985fa868cf39e2b703d09a2c0f639c2cf4eba5c7d5f468b2ee"},"schema_version":"1.0","source":{"id":"2312.03002","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.03002","created_at":"2026-07-05T07:20:56Z"},{"alias_kind":"arxiv_version","alias_value":"2312.03002v1","created_at":"2026-07-05T07:20:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.03002","created_at":"2026-07-05T07:20:56Z"},{"alias_kind":"pith_short_12","alias_value":"FGFNE7RQCHML","created_at":"2026-07-05T07:20:56Z"},{"alias_kind":"pith_short_16","alias_value":"FGFNE7RQCHMLFHSZ","created_at":"2026-07-05T07:20:56Z"},{"alias_kind":"pith_short_8","alias_value":"FGFNE7RQ","created_at":"2026-07-05T07:20:56Z"}],"graph_snapshots":[{"event_id":"sha256:a326de69ac9f622ef3520d4152d09882fb3d9f1e42525a32927331cb2a5d17b1","target":"graph","created_at":"2026-07-05T07:20:56Z","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/2312.03002/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transformer models exhibit in-context learning: the ability to accurately predict the response to a novel query based on illustrative examples in the input sequence. In-context learning contrasts with traditional in-weights learning of query-output relationships. What aspects of the training data distribution and architecture favor in-context vs in-weights learning? Recent work has shown that specific distributional properties inherent in language, such as burstiness, large dictionaries and skewed rank-frequency distributions, control the trade-off or simultaneous appearance of these two forms","authors_text":"Gautam Reddy","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-12-03T20:53:41Z","title":"The mechanistic basis of data dependence and abrupt learning in an in-context classification task"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.03002","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:c36b190aa0980d853bcac74af237d4733ff35f1fe7dfe8bdd9fdbed819b06eac","target":"record","created_at":"2026-07-05T07:20:56Z","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":"586c03b149a8c77a77da693a96f43bacc4a5734287f5f7872f3bddf0a1f23985","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-12-03T20:53:41Z","title_canon_sha256":"8418f8435cc48e985fa868cf39e2b703d09a2c0f639c2cf4eba5c7d5f468b2ee"},"schema_version":"1.0","source":{"id":"2312.03002","kind":"arxiv","version":1}},"canonical_sha256":"298ad27e3011d8b29e5930c785be418f06e54132a0077de0970b3502d879a518","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"298ad27e3011d8b29e5930c785be418f06e54132a0077de0970b3502d879a518","first_computed_at":"2026-07-05T07:20:56.706440Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:20:56.706440Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uJWuYJUfITKSH1N+BYrqQcoUAIhzMHpeog1CDHn2MtWcWx1CIuxC3SV2NBFYDTcQ32Bu3xdjEooaUdckY8HlAA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:20:56.706895Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.03002","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c36b190aa0980d853bcac74af237d4733ff35f1fe7dfe8bdd9fdbed819b06eac","sha256:a326de69ac9f622ef3520d4152d09882fb3d9f1e42525a32927331cb2a5d17b1"],"state_sha256":"10014962c20a86c076b61211c20d63e81886a13f088dd8b73fffb46cf3fb5044"}