{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UWAWVNMF3DAV5NOY6DB3FUO4M5","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":"b04923bb16b86795fe41ffcea9bf029fc908953aafaec11300c56ec02a74fbee","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-14T16:25:59Z","title_canon_sha256":"f8f7fa4596b1c61d5d9fd01d01d0609155b0a59c1e8f204470b4f2a7baedf27b"},"schema_version":"1.0","source":{"id":"2606.15893","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.15893","created_at":"2026-06-23T02:13:26Z"},{"alias_kind":"arxiv_version","alias_value":"2606.15893v2","created_at":"2026-06-23T02:13:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.15893","created_at":"2026-06-23T02:13:26Z"},{"alias_kind":"pith_short_12","alias_value":"UWAWVNMF3DAV","created_at":"2026-06-23T02:13:26Z"},{"alias_kind":"pith_short_16","alias_value":"UWAWVNMF3DAV5NOY","created_at":"2026-06-23T02:13:26Z"},{"alias_kind":"pith_short_8","alias_value":"UWAWVNMF","created_at":"2026-06-23T02:13:26Z"}],"graph_snapshots":[{"event_id":"sha256:e27277e1c81d50c95559db6a9c8da22665d84a1d26aa51c29deb46c42187128f","target":"graph","created_at":"2026-06-23T02:13:26Z","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/2606.15893/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Hallucinations remain a major obstacle to deploying large language models (LLMs) in knowledge-intensive settings, where generated responses must be faithfully grounded in provided evidence. Reinforcement learning (RL) is a promising direction for hallucination mitigation, but response-level faithfulness rewards suffer from a granularity mismatch: localized hallucinations can cause supported content to receive spurious penalties. Although recent work introduces fine-grained feedback such as claim-level verification and token-level rewards, unbalanced credit assignment can still induce length, v","authors_text":"Chang Luo, Ning Li, Weinan Zhang, Weiwen Liu, Wenbo Fei, Yan Xu, Yasheng Wang, Yifan Niu, Yong Yu, Zixuan Guo","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-14T16:25:59Z","title":"BALTO: Balanced Token-Level Policy Optimization for Hallucination Mitigation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.15893","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":"sha256:2b072a725d392a7104250a8a1bf274e91fc015648c0f662260724ae1bb20b3a3","target":"record","created_at":"2026-06-23T02:13:26Z","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":"b04923bb16b86795fe41ffcea9bf029fc908953aafaec11300c56ec02a74fbee","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-14T16:25:59Z","title_canon_sha256":"f8f7fa4596b1c61d5d9fd01d01d0609155b0a59c1e8f204470b4f2a7baedf27b"},"schema_version":"1.0","source":{"id":"2606.15893","kind":"arxiv","version":2}},"canonical_sha256":"a5816ab585d8c15eb5d8f0c3b2d1dc67716c79d3c7886e274d9e2c9c2b4041bf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a5816ab585d8c15eb5d8f0c3b2d1dc67716c79d3c7886e274d9e2c9c2b4041bf","first_computed_at":"2026-06-23T02:13:26.579000Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T02:13:26.579000Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aJ2sP1r0zVtf2hOKJJGxD1853C3B1bwGsnolAm/sNGFuhCOd1iqQOIb2Yeo3zBIUEfySXpEJqZ9nG6mPYkkiDw==","signature_status":"signed_v1","signed_at":"2026-06-23T02:13:26.579517Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.15893","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b072a725d392a7104250a8a1bf274e91fc015648c0f662260724ae1bb20b3a3","sha256:e27277e1c81d50c95559db6a9c8da22665d84a1d26aa51c29deb46c42187128f"],"state_sha256":"a4ebcc01e2d15affabf02384cf4d3f8851e21d500b040ddcf51066ac163772d8"}