{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5S4G2MHJJVYLCBWRDZI3XOP5UO","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":"8c4e9910b1696ef66c01868c842bdbcdcd0c6ca41a665a24e0cd28b504a08979","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-29T08:57:09Z","title_canon_sha256":"9b8e93edbe4a121fb1e9aabde261eb5356ffb1d93566811fd32a18c1f3d67353"},"schema_version":"1.0","source":{"id":"2506.23149","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.23149","created_at":"2026-05-27T01:04:49Z"},{"alias_kind":"arxiv_version","alias_value":"2506.23149v2","created_at":"2026-05-27T01:04:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.23149","created_at":"2026-05-27T01:04:49Z"},{"alias_kind":"pith_short_12","alias_value":"5S4G2MHJJVYL","created_at":"2026-05-27T01:04:49Z"},{"alias_kind":"pith_short_16","alias_value":"5S4G2MHJJVYLCBWR","created_at":"2026-05-27T01:04:49Z"},{"alias_kind":"pith_short_8","alias_value":"5S4G2MHJ","created_at":"2026-05-27T01:04:49Z"}],"graph_snapshots":[{"event_id":"sha256:24a6391bcc2e912552ce977a1e11b02210e2071b4fd62be85f11d7ef81bf876c","target":"graph","created_at":"2026-05-27T01:04:49Z","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/2506.23149/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reusable skills play a key role in improving LLM-based agents, but existing skill-evolution methods often fail to ensure that evolved skills both cover the knowledge required by the task and remain aligned with the target task. As a result, evolved skills could be incomplete or irrelevant. To address this limitation, we propose AlignEvoSkill, a skill-evolution framework that jointly models knowledge coverage and task alignment. Given failed task trajectories, AlignEvoSkill first identifies task-relevant knowledge tags, retrieves complementary prior skills, and adapts them into candidate skills","authors_text":"Dingzirui Wang, Keyan Xu, Qingfu Zhu, Wanxiang Che, Xuanliang Zhang, Yang Deng","cross_cats":[],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-29T08:57:09Z","title":"AlignEvoSkill: Towards Knowledge-Aware and Task-Aligned Agent Skill Evolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.23149","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":"sha256:1b969e37e84f1161839c90cac4b20c19c310b406b69735bed20eb4b816a9e361","target":"record","created_at":"2026-05-27T01:04:49Z","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":"8c4e9910b1696ef66c01868c842bdbcdcd0c6ca41a665a24e0cd28b504a08979","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-29T08:57:09Z","title_canon_sha256":"9b8e93edbe4a121fb1e9aabde261eb5356ffb1d93566811fd32a18c1f3d67353"},"schema_version":"1.0","source":{"id":"2506.23149","kind":"arxiv","version":2}},"canonical_sha256":"ecb86d30e94d70b106d11e51bbb9fda3bd1fb91d34e682a66daca4e914f8daff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ecb86d30e94d70b106d11e51bbb9fda3bd1fb91d34e682a66daca4e914f8daff","first_computed_at":"2026-05-27T01:04:49.155283Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-27T01:04:49.155283Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gliesi+9RIdM9BzeNMRf5ydyx4Lpj9tXmXjDneD1jrw5OxgqWNQVbzlh4o0ZbVMQR0BJSFInN49iYSvJGgBwBA==","signature_status":"signed_v1","signed_at":"2026-05-27T01:04:49.156311Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.23149","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1b969e37e84f1161839c90cac4b20c19c310b406b69735bed20eb4b816a9e361","sha256:24a6391bcc2e912552ce977a1e11b02210e2071b4fd62be85f11d7ef81bf876c"],"state_sha256":"f4682e7e0794abdf4905686d203d57c6086a4738eb118c29583f4d0615cf8c2a"}