{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7RZRHHH4LK7P2VPHTUJZ3CP66C","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":"049eb5d7bd105d94a0d73920edf490d30709d45a217db78c5b98046a59d2d00b","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-30T09:28:56Z","title_canon_sha256":"ee26869dd3afbf2e2c26559a003530644f1a663660034654a1be7de0323bae7e"},"schema_version":"1.0","source":{"id":"2405.19874","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.19874","created_at":"2026-07-05T10:50:42Z"},{"alias_kind":"arxiv_version","alias_value":"2405.19874v3","created_at":"2026-07-05T10:50:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.19874","created_at":"2026-07-05T10:50:42Z"},{"alias_kind":"pith_short_12","alias_value":"7RZRHHH4LK7P","created_at":"2026-07-05T10:50:42Z"},{"alias_kind":"pith_short_16","alias_value":"7RZRHHH4LK7P2VPH","created_at":"2026-07-05T10:50:42Z"},{"alias_kind":"pith_short_8","alias_value":"7RZRHHH4","created_at":"2026-07-05T10:50:42Z"}],"graph_snapshots":[{"event_id":"sha256:121e732758663eff550a3749fa8ed8e4e2cd5ff0b33b8f9a8b7ee35a6ef613cf","target":"graph","created_at":"2026-07-05T10:50:42Z","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/2405.19874/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In-context learning (ICL) allows LLMs to learn from examples without changing their weights: this is a particularly promising capability for long-context LLMs that can potentially learn from many examples. Recently, Lin et al. (2024) proposed URIAL, a method using only three in-context examples to align base LLMs, achieving non-trivial instruction following performance. In this work, we show that, while effective, ICL alignment with URIAL still underperforms compared to instruction fine-tuning on the established benchmark MT-Bench, especially with more capable base LLMs. We then uncover the mo","authors_text":"Francesco Croce, Hao Zhao, Maksym Andriushchenko, Nicolas Flammarion","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-30T09:28:56Z","title":"Is In-Context Learning Sufficient for Instruction Following in LLMs?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.19874","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":"sha256:236da4f70adfb671d45b6cdb274292a969ad9589666d77e2f2846ad84302a6cb","target":"record","created_at":"2026-07-05T10:50:42Z","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":"049eb5d7bd105d94a0d73920edf490d30709d45a217db78c5b98046a59d2d00b","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-30T09:28:56Z","title_canon_sha256":"ee26869dd3afbf2e2c26559a003530644f1a663660034654a1be7de0323bae7e"},"schema_version":"1.0","source":{"id":"2405.19874","kind":"arxiv","version":3}},"canonical_sha256":"fc73139cfc5abefd55e79d139d89fef0b02fe26dbeeac4c34ad1621490dc55d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fc73139cfc5abefd55e79d139d89fef0b02fe26dbeeac4c34ad1621490dc55d0","first_computed_at":"2026-07-05T10:50:42.270394Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:50:42.270394Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aJjlq9lolfM/CshI14aAF1MQ44MLxuujDpT6Ttv4QBuPVBgM+5MUrRig98PelqyiPHSJrs/N1mRCQGmu2KPECA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:50:42.270862Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.19874","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:236da4f70adfb671d45b6cdb274292a969ad9589666d77e2f2846ad84302a6cb","sha256:121e732758663eff550a3749fa8ed8e4e2cd5ff0b33b8f9a8b7ee35a6ef613cf"],"state_sha256":"3daa64f0c657bb218535bdac9ae727403a520de02eb82059e6012ae324a0c295"}