{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:YEZ6FCCBMOYUPQQ6PEFAPNPNSC","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":"68e218b2311cc078b205f6b729e718d36ae3ea0a186ae423a5b85139031125c5","cross_cats_sorted":["cs.CL","cs.CV","cs.LG","cs.MA","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-06T17:58:46Z","title_canon_sha256":"78a1e975ce5c4d69ca4eb7b0a852632f6b6d0768aad87f55448de3d41e91f48c"},"schema_version":"1.0","source":{"id":"2508.04700","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.04700","created_at":"2026-07-05T11:52:23Z"},{"alias_kind":"arxiv_version","alias_value":"2508.04700v2","created_at":"2026-07-05T11:52:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.04700","created_at":"2026-07-05T11:52:23Z"},{"alias_kind":"pith_short_12","alias_value":"YEZ6FCCBMOYU","created_at":"2026-07-05T11:52:23Z"},{"alias_kind":"pith_short_16","alias_value":"YEZ6FCCBMOYUPQQ6","created_at":"2026-07-05T11:52:23Z"},{"alias_kind":"pith_short_8","alias_value":"YEZ6FCCB","created_at":"2026-07-05T11:52:23Z"}],"graph_snapshots":[{"event_id":"sha256:acbb543f1caaf3abef2f14542dc509143ad887644bd59d7641e758806ff6c238","target":"graph","created_at":"2026-07-05T11:52:23Z","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/2508.04700/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Repurposing large vision-language models (LVLMs) as computer use agents (CUAs) has led to substantial breakthroughs, primarily driven by human-labeled data. However, these models often struggle with novel and specialized software, particularly in scenarios lacking human annotations. To address this challenge, we propose SEAgent, an agentic self-evolving framework enabling CUAs to autonomously evolve through interactions with unfamiliar software. Specifically, SEAgent empowers computer-use agents to autonomously master novel software environments via experiential learning, where agents explore ","authors_text":"Dahua Lin, Jiaqi Wang, Tong Wu, Xiaoyi Dong, Yuhang Cao, Yuhang Zang, Zeyi Sun, Ziyu Liu","cross_cats":["cs.CL","cs.CV","cs.LG","cs.MA","cs.MM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-06T17:58:46Z","title":"SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.04700","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:bce33c24dd4f32b8a964dfb47e09044e22f11c94c1f576b32aa5265195ea9434","target":"record","created_at":"2026-07-05T11:52:23Z","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":"68e218b2311cc078b205f6b729e718d36ae3ea0a186ae423a5b85139031125c5","cross_cats_sorted":["cs.CL","cs.CV","cs.LG","cs.MA","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-06T17:58:46Z","title_canon_sha256":"78a1e975ce5c4d69ca4eb7b0a852632f6b6d0768aad87f55448de3d41e91f48c"},"schema_version":"1.0","source":{"id":"2508.04700","kind":"arxiv","version":2}},"canonical_sha256":"c133e2884163b147c21e790a07b5ed90b73c76a5a7f0b521f380e3e0d655feb7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c133e2884163b147c21e790a07b5ed90b73c76a5a7f0b521f380e3e0d655feb7","first_computed_at":"2026-07-05T11:52:23.246612Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:52:23.246612Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dszW9ZNyd90QnyNcmAsqKYywrxTNSBYldVUQbgBkl98NHjmjiKT1mGuCs0SjlQFxiywjI0hRxDMrzUSZ/LmGBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:52:23.247136Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.04700","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bce33c24dd4f32b8a964dfb47e09044e22f11c94c1f576b32aa5265195ea9434","sha256:acbb543f1caaf3abef2f14542dc509143ad887644bd59d7641e758806ff6c238"],"state_sha256":"499c28c26212cf4e43ad9f38832a9284fe510db3cf8e65a5b0ce708f7d362650"}