{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UHHOMB4ZMPI3E3LNA6OPDX25YZ","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":"ff67b8511be1ce2111a36d73787d7cfc88fb4195732eccfe795d7ce2b89376d2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-03T08:39:16Z","title_canon_sha256":"0103efc6dcfff0dfcc12acf92aec9ae7680504546326ed5dcd0ecb6eefb64bd7"},"schema_version":"1.0","source":{"id":"2608.01904","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.01904","created_at":"2026-08-04T02:07:36Z"},{"alias_kind":"arxiv_version","alias_value":"2608.01904v1","created_at":"2026-08-04T02:07:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.01904","created_at":"2026-08-04T02:07:36Z"},{"alias_kind":"pith_short_12","alias_value":"UHHOMB4ZMPI3","created_at":"2026-08-04T02:07:36Z"},{"alias_kind":"pith_short_16","alias_value":"UHHOMB4ZMPI3E3LN","created_at":"2026-08-04T02:07:36Z"},{"alias_kind":"pith_short_8","alias_value":"UHHOMB4Z","created_at":"2026-08-04T02:07:36Z"}],"graph_snapshots":[{"event_id":"sha256:f9b6198d6cbf2531193d303992013ac7a8600f8e460deafbd942ae88e79e1934","target":"graph","created_at":"2026-08-04T02:07:36Z","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/2608.01904/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models can improve with reinforcement learning for search agents, yet existing self play agents repeatedly generate tasks while discarding the knowledge gained during successful searches. We introduce CoEvoKG, a framework that turns a\n  knowledge graph into both a source of verifiable training tasks and a persistent evidence memory for agent evolution. CoEvoKG jointly trains a task generator and a search agent: the generator creates multihop questions from entity chains sampled\n  from the knowledge graph, while the agent learns from rewards for answer correctness and search traj","authors_text":"Chenxu Zhao, Guannan He, Haoyu Wu, Jie Song, Minghui Wu, Ping Jiang, Qiuyuan Ai, Zenghuang Fu, Zhaoyang Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-03T08:39:16Z","title":"CoEvoKG: Co-Evolving Knowledge Graphs with Self-Evolving Search Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.01904","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":"sha256:89607adc21099bde7ebd4b2ab608d03f804aaa6e2d52d2051a2deb209d9b504a","target":"record","created_at":"2026-08-04T02:07:36Z","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":"ff67b8511be1ce2111a36d73787d7cfc88fb4195732eccfe795d7ce2b89376d2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-03T08:39:16Z","title_canon_sha256":"0103efc6dcfff0dfcc12acf92aec9ae7680504546326ed5dcd0ecb6eefb64bd7"},"schema_version":"1.0","source":{"id":"2608.01904","kind":"arxiv","version":1}},"canonical_sha256":"a1cee6079963d1b26d6d079cf1df5dc65f4757fc9357a75052217445ba3c0fc6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a1cee6079963d1b26d6d079cf1df5dc65f4757fc9357a75052217445ba3c0fc6","first_computed_at":"2026-08-04T02:07:36.117329Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-04T02:07:36.117329Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RWhVk53m34g4svSKDZ8M/LrDKY8msBBhNasKGVbW8ot7HCgrWuA+ASQu52LtbhnowxGubMSC2NYRhj5ejemYBA==","signature_status":"signed_v1","signed_at":"2026-08-04T02:07:36.119110Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.01904","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:89607adc21099bde7ebd4b2ab608d03f804aaa6e2d52d2051a2deb209d9b504a","sha256:f9b6198d6cbf2531193d303992013ac7a8600f8e460deafbd942ae88e79e1934"],"state_sha256":"35d0c6004a32dad85e1f6273aab6f8165e052c39ec774395e68a6d26aa7e3c53"}