{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BCO2IPPUTPBKSYSG6VBO23LTUO","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":"2452b963434791d6676e725206420da293bf51f7e27c9960c6d421a72ee3db7a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-18T17:52:17Z","title_canon_sha256":"dd520272a5bb7ad99402362e6b7b4d4a8b5a5f53620540d8cdc803d474090e6c"},"schema_version":"1.0","source":{"id":"2602.16653","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.16653","created_at":"2026-06-23T00:11:48Z"},{"alias_kind":"arxiv_version","alias_value":"2602.16653v3","created_at":"2026-06-23T00:11:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.16653","created_at":"2026-06-23T00:11:48Z"},{"alias_kind":"pith_short_12","alias_value":"BCO2IPPUTPBK","created_at":"2026-06-23T00:11:48Z"},{"alias_kind":"pith_short_16","alias_value":"BCO2IPPUTPBKSYSG","created_at":"2026-06-23T00:11:48Z"},{"alias_kind":"pith_short_8","alias_value":"BCO2IPPU","created_at":"2026-06-23T00:11:48Z"}],"graph_snapshots":[{"event_id":"sha256:19253f76fcb31cf48a44e6e13dedd7f70808ca5fb1e5029464d7ce38fedba4ef","target":"graph","created_at":"2026-06-23T00:11:48Z","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/2602.16653/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Agent skills are widely supported by major agentic frameworks and perform well with proprietary models, yet their effectiveness for small and medium-sized open source language models (270 M-80B) remains underexplored. We systematically study the Skill paradigm in resource-constrained industrial settings, where reliance on proprietary APIs is impractical due to data security and budget constraints. Across two open-source tasks and a real-world insurance claims classification task, we find that very small models struggle with reliable skill selection, while models around 30B-80B benefit substant","authors_text":"Lama Sleem, Lujun Li, Niccolo Gentile, Radu State, Siming Ji, Wenbo Wu, Yangjie Xu, Yewei Song, Yiqun Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-18T17:52:17Z","title":"Agent Skill Framework: Perspectives on the Potential of Small to Medium Language Models in Industrial Environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.16653","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:fba0bc4d36190a2331c46727c1d46e459fc4923304b8b9c8be2842f2725ddc74","target":"record","created_at":"2026-06-23T00:11:48Z","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":"2452b963434791d6676e725206420da293bf51f7e27c9960c6d421a72ee3db7a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-18T17:52:17Z","title_canon_sha256":"dd520272a5bb7ad99402362e6b7b4d4a8b5a5f53620540d8cdc803d474090e6c"},"schema_version":"1.0","source":{"id":"2602.16653","kind":"arxiv","version":3}},"canonical_sha256":"089da43df49bc2a96246f542ed6d73a39949c11f8d85dedf04f437311ffa9d39","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"089da43df49bc2a96246f542ed6d73a39949c11f8d85dedf04f437311ffa9d39","first_computed_at":"2026-06-23T00:11:48.915442Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T00:11:48.915442Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UFc9CEsygEvfNnWBY+uM+X1hqr+VanBhoPNEONH7R8oem1alXkowR90hVD8/CKIlJbKV8VNfuBv7GwnbjwRCAQ==","signature_status":"signed_v1","signed_at":"2026-06-23T00:11:48.915937Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.16653","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fba0bc4d36190a2331c46727c1d46e459fc4923304b8b9c8be2842f2725ddc74","sha256:19253f76fcb31cf48a44e6e13dedd7f70808ca5fb1e5029464d7ce38fedba4ef"],"state_sha256":"bffe4283a7e877348e7cda396afc7f683d015db3d6ddbfae5deb718e7f935f07"}