{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7GSOPSVQGM6ESP4ZCJ2CLI5O37","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":"ff34defbb1df52f53d6f00222dc904f07a88a99e933d59be1749a5c93c41c3d1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-29T18:05:12Z","title_canon_sha256":"45c59d33e233cd226d40341524f873a995dca230dfd0a929c3561489428c7e13"},"schema_version":"1.0","source":{"id":"2505.23911","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.23911","created_at":"2026-07-05T11:12:37Z"},{"alias_kind":"arxiv_version","alias_value":"2505.23911v1","created_at":"2026-07-05T11:12:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.23911","created_at":"2026-07-05T11:12:37Z"},{"alias_kind":"pith_short_12","alias_value":"7GSOPSVQGM6E","created_at":"2026-07-05T11:12:37Z"},{"alias_kind":"pith_short_16","alias_value":"7GSOPSVQGM6ESP4Z","created_at":"2026-07-05T11:12:37Z"},{"alias_kind":"pith_short_8","alias_value":"7GSOPSVQ","created_at":"2026-07-05T11:12:37Z"}],"graph_snapshots":[{"event_id":"sha256:c153bd46dd15e09af458beab61475324b2404e51d117377b0e439a8d414748d2","target":"graph","created_at":"2026-07-05T11:12:37Z","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/2505.23911/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In-context learning (ICL) enables Large Language Models (LLMs) to adapt to new tasks using few examples, with task vectors - specific hidden state activations - hypothesized to encode task information. Existing studies are limited by small-scale benchmarks, restricting comprehensive analysis. We introduce QuiteAFew, a novel dataset of 3,096 diverse few-shot tasks, each with 30 input-output pairs derived from the Alpaca dataset. Experiments with Llama-3-8B on QuiteAFew reveal: (1) task vector performance peaks at an intermediate layer (e.g., 15th), (2) effectiveness varies significantly by task","authors_text":"Elena Tutubalina, Ivan Oseledets, Pavel Tikhonov","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-29T18:05:12Z","title":"One Task Vector is not Enough: A Large-Scale Study for In-Context Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.23911","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":"sha256:471b66948357773cd22e8e683ee0700db1fbb6449d1ae73de33b722c5568663e","target":"record","created_at":"2026-07-05T11:12:37Z","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":"ff34defbb1df52f53d6f00222dc904f07a88a99e933d59be1749a5c93c41c3d1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-29T18:05:12Z","title_canon_sha256":"45c59d33e233cd226d40341524f873a995dca230dfd0a929c3561489428c7e13"},"schema_version":"1.0","source":{"id":"2505.23911","kind":"arxiv","version":1}},"canonical_sha256":"f9a4e7cab0333c493f99127425a3aedfd2992f283e7c03fb6c7f981ea7d15aec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f9a4e7cab0333c493f99127425a3aedfd2992f283e7c03fb6c7f981ea7d15aec","first_computed_at":"2026-07-05T11:12:37.602219Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:12:37.602219Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kMcBjqtd/GL+L+LR4bdCBLvxQoo+dDHIv9/wJBQ6iUKSisUab2wXzP+lYNbR2ERcI40oC+EN0kbSN2X+JQ1kCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:12:37.602731Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.23911","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:471b66948357773cd22e8e683ee0700db1fbb6449d1ae73de33b722c5568663e","sha256:c153bd46dd15e09af458beab61475324b2404e51d117377b0e439a8d414748d2"],"state_sha256":"eae7cb9af23599264f609f84a8932b41c6c9160424fbc32ec26c1d70e85446f8"}