{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HECBA4RA4CD5RYKKLR4OHZJ627","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":"a755a340fe9a991c03e33f3a67d3ac920db82e95371cde16e9b53d1f1998c32f","cross_cats_sorted":["cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-29T18:51:18Z","title_canon_sha256":"7f5bcd3eaac660efe36829d70fc7625d4b52a5493a1a36b2e0cc9a0ac09e5c23"},"schema_version":"1.0","source":{"id":"2509.00189","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.00189","created_at":"2026-07-05T12:02:11Z"},{"alias_kind":"arxiv_version","alias_value":"2509.00189v1","created_at":"2026-07-05T12:02:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.00189","created_at":"2026-07-05T12:02:11Z"},{"alias_kind":"pith_short_12","alias_value":"HECBA4RA4CD5","created_at":"2026-07-05T12:02:11Z"},{"alias_kind":"pith_short_16","alias_value":"HECBA4RA4CD5RYKK","created_at":"2026-07-05T12:02:11Z"},{"alias_kind":"pith_short_8","alias_value":"HECBA4RA","created_at":"2026-07-05T12:02:11Z"}],"graph_snapshots":[{"event_id":"sha256:e6d7a02a797b65ea99d1582a77c2a11e46b9b2739d13debcb90d34a8fd2496a9","target":"graph","created_at":"2026-07-05T12:02:11Z","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/2509.00189/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autonomous agents play a crucial role in advancing Artificial General Intelligence, enabling problem decomposition and tool orchestration through Large Language Models (LLMs). However, existing paradigms face a critical trade-off. On one hand, reusable fixed workflows require manual reconfiguration upon environmental changes; on the other hand, flexible reactive loops fail to distill reasoning progress into transferable structures. We introduce Hierarchical Variable Agent (HiVA), a novel framework modeling agentic workflows as self-organized graphs with the Semantic-Topological Evolution (STEV","authors_text":"Chengpei Tang, Jing Yang, Jinzhou Tang, Jusheng Zhang, Keze Wang, Qinhan Lv, Sidi Liu","cross_cats":["cs.MA"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-29T18:51:18Z","title":"HiVA: Self-organized Hierarchical Variable Agent via Goal-driven Semantic-Topological Evolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.00189","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":"sha256:3e47e5b8391d83445ad607a77566148f62accc30ec9f40a59cd29f5ac4a472f3","target":"record","created_at":"2026-07-05T12:02:11Z","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":"a755a340fe9a991c03e33f3a67d3ac920db82e95371cde16e9b53d1f1998c32f","cross_cats_sorted":["cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-29T18:51:18Z","title_canon_sha256":"7f5bcd3eaac660efe36829d70fc7625d4b52a5493a1a36b2e0cc9a0ac09e5c23"},"schema_version":"1.0","source":{"id":"2509.00189","kind":"arxiv","version":1}},"canonical_sha256":"3904107220e087d8e14a5c78e3e53ed7d3a3327534f142d71eeae4771b0f53f9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3904107220e087d8e14a5c78e3e53ed7d3a3327534f142d71eeae4771b0f53f9","first_computed_at":"2026-07-05T12:02:11.028044Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:02:11.028044Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BJ9VAmG5h9BGJH7eF59IVpov13bl3gbnpVJPufOEmWj44v+9X20HhYqyP5BTylRZdBFpA0p07Y/qn1qme955Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:02:11.028527Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.00189","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3e47e5b8391d83445ad607a77566148f62accc30ec9f40a59cd29f5ac4a472f3","sha256:e6d7a02a797b65ea99d1582a77c2a11e46b9b2739d13debcb90d34a8fd2496a9"],"state_sha256":"62e2089db220503ac30fe5f61a95ab9f5554a76a08bfa4508ac4f3be55f1b99d"}