{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:T46MVRYIA3OV6A4P7UK7IX2UCD","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":"92d6a8804fcfed75d615bef9ea7004b24665b44ab99327e384c37b5f5fd9c876","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-24T12:36:48Z","title_canon_sha256":"196c9fb616b2b7f515ab6cdeb0c6efe5d62fd60b9e5d0f1dcfa36b651dd840f2"},"schema_version":"1.0","source":{"id":"2508.17330","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.17330","created_at":"2026-07-05T11:58:39Z"},{"alias_kind":"arxiv_version","alias_value":"2508.17330v1","created_at":"2026-07-05T11:58:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.17330","created_at":"2026-07-05T11:58:39Z"},{"alias_kind":"pith_short_12","alias_value":"T46MVRYIA3OV","created_at":"2026-07-05T11:58:39Z"},{"alias_kind":"pith_short_16","alias_value":"T46MVRYIA3OV6A4P","created_at":"2026-07-05T11:58:39Z"},{"alias_kind":"pith_short_8","alias_value":"T46MVRYI","created_at":"2026-07-05T11:58:39Z"}],"graph_snapshots":[{"event_id":"sha256:4e27fd03aafd4666c23945ecaa7d53e82e09c368e513c585b04a53ebedc1e75e","target":"graph","created_at":"2026-07-05T11:58:39Z","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/2508.17330/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper introduces Omne-R1, a novel approach designed to enhance multi-hop question answering capabilities on schema-free knowledge graphs by integrating advanced reasoning models. Our method employs a multi-stage training workflow, including two reinforcement learning phases and one supervised fine-tuning phase. We address the challenge of limited suitable knowledge graphs and QA data by constructing domain-independent knowledge graphs and auto-generating QA pairs. Experimental results show significant improvements in answering multi-hop questions, with notable performance gains on more co","authors_text":"Boyuan Liu, Feng Ji, Han Zhao, Jiayan Nan, Shihao Xu, Weiling Chen, Xing Zhou","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-24T12:36:48Z","title":"Omne-R1: Learning to Reason with Memory for Multi-hop Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.17330","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:ef90a9fac44909f81fb34567186ab6e201a3971a199976214ea9b1f33f506077","target":"record","created_at":"2026-07-05T11:58:39Z","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":"92d6a8804fcfed75d615bef9ea7004b24665b44ab99327e384c37b5f5fd9c876","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-24T12:36:48Z","title_canon_sha256":"196c9fb616b2b7f515ab6cdeb0c6efe5d62fd60b9e5d0f1dcfa36b651dd840f2"},"schema_version":"1.0","source":{"id":"2508.17330","kind":"arxiv","version":1}},"canonical_sha256":"9f3ccac70806dd5f038ffd15f45f5410d47d473a64c2802779853bcd1ff1f9a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9f3ccac70806dd5f038ffd15f45f5410d47d473a64c2802779853bcd1ff1f9a6","first_computed_at":"2026-07-05T11:58:39.963859Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:58:39.963859Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jh3LVzsHI4VX8wuHJ2sISCXPhmOjkJ6bekYR7n7mgU7XpVG+mcT8rTr+9Kc5SC4D1XxKzJDF49P4mpZjh65IAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:58:39.964338Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.17330","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ef90a9fac44909f81fb34567186ab6e201a3971a199976214ea9b1f33f506077","sha256:4e27fd03aafd4666c23945ecaa7d53e82e09c368e513c585b04a53ebedc1e75e"],"state_sha256":"c8451f642b403c28bf55d577f568fb89b32333b2736d2fa20b684f110cc2da54"}