{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:JWORBE7CXDRNFLZ72FQFEXSCZW","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":"e8bed7bfcfbb597fd30011da299dc9d8942c6d3a56df78b1731296984f23081b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-06T18:56:35Z","title_canon_sha256":"ba0771ecf258d1c443a82c59fdea3b2540f51ca37da0ae216114b969152ebf3d"},"schema_version":"1.0","source":{"id":"2402.04248","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.04248","created_at":"2026-07-05T08:11:57Z"},{"alias_kind":"arxiv_version","alias_value":"2402.04248v2","created_at":"2026-07-05T08:11:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.04248","created_at":"2026-07-05T08:11:57Z"},{"alias_kind":"pith_short_12","alias_value":"JWORBE7CXDRN","created_at":"2026-07-05T08:11:57Z"},{"alias_kind":"pith_short_16","alias_value":"JWORBE7CXDRNFLZ7","created_at":"2026-07-05T08:11:57Z"},{"alias_kind":"pith_short_8","alias_value":"JWORBE7C","created_at":"2026-07-05T08:11:57Z"}],"graph_snapshots":[{"event_id":"sha256:63e789c5b9012e0a9214a183e506e0d2cf4ada7e0fc66db49e08bb7f4724c5ca","target":"graph","created_at":"2026-07-05T08:11:57Z","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/2402.04248/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"State-space models (SSMs), such as Mamba (Gu & Dao, 2023), have been proposed as alternatives to Transformer networks in language modeling, by incorporating gating, convolutions, and input-dependent token selection to mitigate the quadratic cost of multi-head attention. Although SSMs exhibit competitive performance, their in-context learning (ICL) capabilities, a remarkable emergent property of modern language models that enables task execution without parameter optimization, remain underexplored compared to Transformers. In this study, we evaluate the ICL performance of SSMs, focusing on Mamb","authors_text":"Dimitris Papailiopoulos, Jaeseung Park, Jaewoong Cho, Jongho Park, Kangwook Lee, Nayoung Lee, Samet Oymak, Zheyang Xiong","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-06T18:56:35Z","title":"Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.04248","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":"sha256:61d38bfd59d788b6fdf3d24c5405f4e0f742019489457ed44dcdafbe57520e35","target":"record","created_at":"2026-07-05T08:11:57Z","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":"e8bed7bfcfbb597fd30011da299dc9d8942c6d3a56df78b1731296984f23081b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-06T18:56:35Z","title_canon_sha256":"ba0771ecf258d1c443a82c59fdea3b2540f51ca37da0ae216114b969152ebf3d"},"schema_version":"1.0","source":{"id":"2402.04248","kind":"arxiv","version":2}},"canonical_sha256":"4d9d1093e2b8e2d2af3fd160525e42cdb9ffe602714669a68d1821789080116d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4d9d1093e2b8e2d2af3fd160525e42cdb9ffe602714669a68d1821789080116d","first_computed_at":"2026-07-05T08:11:57.590037Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:11:57.590037Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4JiiwjrwJJ68SjiIQ8EasAgqOC+zvD63clCBXInUd3FFDI+E4+L3d+jnS3/bJ28XrAxBwLWpdb2lJNZr+hGUBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:11:57.590536Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.04248","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:61d38bfd59d788b6fdf3d24c5405f4e0f742019489457ed44dcdafbe57520e35","sha256:63e789c5b9012e0a9214a183e506e0d2cf4ada7e0fc66db49e08bb7f4724c5ca"],"state_sha256":"75b4ab48c14d03cb56a463d93b1f74c31c24a3589de44a05cde28c86ab880283"}