{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ATUP2BXAQP2SD4DFT7QAO5FWC5","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":"21fe1d5bbb14f015ecaeb5d30b2d36a7f8f3ba6f3ac92cd698e3c636b593263d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-29T09:02:37Z","title_canon_sha256":"7d24d063545ab66c46067d676b9edf08480a37be9b7a4683139986240b15522b"},"schema_version":"1.0","source":{"id":"2410.21868","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.21868","created_at":"2026-07-05T09:52:17Z"},{"alias_kind":"arxiv_version","alias_value":"2410.21868v2","created_at":"2026-07-05T09:52:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.21868","created_at":"2026-07-05T09:52:17Z"},{"alias_kind":"pith_short_12","alias_value":"ATUP2BXAQP2S","created_at":"2026-07-05T09:52:17Z"},{"alias_kind":"pith_short_16","alias_value":"ATUP2BXAQP2SD4DF","created_at":"2026-07-05T09:52:17Z"},{"alias_kind":"pith_short_8","alias_value":"ATUP2BXA","created_at":"2026-07-05T09:52:17Z"}],"graph_snapshots":[{"event_id":"sha256:96a7a39290007e8cfd5b220959344a4eac94f21018e3601c7cbe179973850239","target":"graph","created_at":"2026-07-05T09:52:17Z","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/2410.21868/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have shown impressive capabilities across various tasks, but their performance on domain-specific tasks remains limited. While methods like retrieval augmented generation and fine-tuning can help to address this, they require significant resources. In-context learning (ICL) is a cheap and efficient alternative but cannot match the accuracies of advanced methods. We present Ensemble SuperICL, a novel approach that enhances ICL by leveraging the expertise of multiple fine-tuned small language models (SLMs). Ensemble SuperICL achieves state of the art (SoTA) results o","authors_text":"Adam Mahdi, Lingyi Yang, M. Mehdi Mojarradi, Robert McCraith","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-29T09:02:37Z","title":"Improving In-Context Learning with Small Language Model Ensembles"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.21868","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":"sha256:39e9d673fa38913cd384805aa034fa4d5c6f8a9e138a1791e3fe73673da093d4","target":"record","created_at":"2026-07-05T09:52:17Z","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":"21fe1d5bbb14f015ecaeb5d30b2d36a7f8f3ba6f3ac92cd698e3c636b593263d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-29T09:02:37Z","title_canon_sha256":"7d24d063545ab66c46067d676b9edf08480a37be9b7a4683139986240b15522b"},"schema_version":"1.0","source":{"id":"2410.21868","kind":"arxiv","version":2}},"canonical_sha256":"04e8fd06e083f521f0659fe00774b617763dd9eb2d8aab04af052d522fab1a86","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"04e8fd06e083f521f0659fe00774b617763dd9eb2d8aab04af052d522fab1a86","first_computed_at":"2026-07-05T09:52:17.705323Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:52:17.705323Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6IHmSIrbY1Mf7EQpjn8SnklKGatCUqOEF+MYN2J1fNZIM9RwlN6uXxExBjJw25oSWB0kGDHpiKLfr5QStCGyAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:52:17.705825Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.21868","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:39e9d673fa38913cd384805aa034fa4d5c6f8a9e138a1791e3fe73673da093d4","sha256:96a7a39290007e8cfd5b220959344a4eac94f21018e3601c7cbe179973850239"],"state_sha256":"a620ce76f5b32ae858369505ae0d248d7159409724a272d06de47eacd68fc878"}