{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CJLXO7D455YHTEUUZU56XPIZTE","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":"895a3754a864ea133f21f64c2fbd2f199b0f3fa7d85e36a743ce8da0b05129c2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-02T06:51:12Z","title_canon_sha256":"51476210ff81ff8d5caaa7b5dbf0ede6bbcc7304dcae0cd2c073343f3d6e9fa5"},"schema_version":"1.0","source":{"id":"2410.01280","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.01280","created_at":"2026-07-05T09:14:45Z"},{"alias_kind":"arxiv_version","alias_value":"2410.01280v1","created_at":"2026-07-05T09:14:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.01280","created_at":"2026-07-05T09:14:45Z"},{"alias_kind":"pith_short_12","alias_value":"CJLXO7D455YH","created_at":"2026-07-05T09:14:45Z"},{"alias_kind":"pith_short_16","alias_value":"CJLXO7D455YHTEUU","created_at":"2026-07-05T09:14:45Z"},{"alias_kind":"pith_short_8","alias_value":"CJLXO7D4","created_at":"2026-07-05T09:14:45Z"}],"graph_snapshots":[{"event_id":"sha256:262a04be7e5bc16eb92d8db73566e42c53d4b99094ee54c258a776e2ca33e964","target":"graph","created_at":"2026-07-05T09:14:45Z","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/2410.01280/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In-context learning, the ability to adapt based on a few examples in the input prompt, is a ubiquitous feature of large language models (LLMs). However, as LLMs' in-context learning abilities continue to improve, understanding this phenomenon mechanistically becomes increasingly important. In particular, it is not well-understood how LLMs learn to solve specific classes of problems, such as reinforcement learning (RL) problems, in-context. Through three different tasks, we first show that Llama $3$ $70$B can solve simple RL problems in-context. We then analyze the residual stream of Llama usin","authors_text":"Akshay K. Jagadish, Can Demircan, Eric Schulz, Marcel Binz, Tankred Saanum","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-02T06:51:12Z","title":"Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.01280","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":"sha256:9bff3b93b2a89e8d84206be2812d75276edf67606d109b1391161a507631fb59","target":"record","created_at":"2026-07-05T09:14:45Z","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":"895a3754a864ea133f21f64c2fbd2f199b0f3fa7d85e36a743ce8da0b05129c2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-02T06:51:12Z","title_canon_sha256":"51476210ff81ff8d5caaa7b5dbf0ede6bbcc7304dcae0cd2c073343f3d6e9fa5"},"schema_version":"1.0","source":{"id":"2410.01280","kind":"arxiv","version":1}},"canonical_sha256":"1257777c7cef70799294cd3bebbd1999314cf841642e7c34d4bd402e5049d209","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1257777c7cef70799294cd3bebbd1999314cf841642e7c34d4bd402e5049d209","first_computed_at":"2026-07-05T09:14:45.710655Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:14:45.710655Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lsh/RWGNsXLCpNpAlR0bbpW92e6Vu89wXwdU0KghVdAI6RW6ePpoxbk+F7cvLOCXeUmJ38z6geRp3bRtzVQJCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:14:45.711115Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.01280","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9bff3b93b2a89e8d84206be2812d75276edf67606d109b1391161a507631fb59","sha256:262a04be7e5bc16eb92d8db73566e42c53d4b99094ee54c258a776e2ca33e964"],"state_sha256":"027ad8957c017223de7c1b2046203f4cc9d43dc388c7645aaaaec300ef4e2e9b"}