{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:HVTRCYUBHM7C6MPW6GND2E2PGC","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":"e3f16fac39bdf487b62594ddfa24a281739bf11e9dc0cd33d560e26ef3a410fd","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-01-27T14:06:33Z","title_canon_sha256":"742217a1544c03e65bbe7a3568e5a788ccf65097f4c181128783e621c5c56221"},"schema_version":"1.0","source":{"id":"2602.18446","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.18446","created_at":"2026-06-26T01:15:17Z"},{"alias_kind":"arxiv_version","alias_value":"2602.18446v2","created_at":"2026-06-26T01:15:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.18446","created_at":"2026-06-26T01:15:17Z"},{"alias_kind":"pith_short_12","alias_value":"HVTRCYUBHM7C","created_at":"2026-06-26T01:15:17Z"},{"alias_kind":"pith_short_16","alias_value":"HVTRCYUBHM7C6MPW","created_at":"2026-06-26T01:15:17Z"},{"alias_kind":"pith_short_8","alias_value":"HVTRCYUB","created_at":"2026-06-26T01:15:17Z"}],"graph_snapshots":[{"event_id":"sha256:bd585cb925868abfd18bfec43e284b6a7e5dad81b088b52669dc1be2de5e8246","target":"graph","created_at":"2026-06-26T01:15:17Z","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/2602.18446/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Users increasingly rely on Large Language Models (LLMs) for Deep Research, using them to synthesize diverse sources into structured reports that support understanding and action. In this context, the practical reliability of such reports hinges on logical quality: whether the report's claims and arguments are explicitly supported and can be trusted as a basis for downstream use, rather than merely appearing fluent or informative. However, current evaluation frameworks largely overlook this requirement. To bridge this gap, we introduce ReportLogic, a benchmark that quantifies report-level logic","authors_text":"Jujia Zhao, Jun Zhou, Suzan Verberne, Xiaolu Zhang, Zhaochun Ren, Zhaoxin Huan, Zihan Wang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-01-27T14:06:33Z","title":"ReportLogic: Evaluating Logical Quality in Deep Research Reports"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.18446","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":"sha256:8874cb2b02000b479c4cf403eb3dd548826a85b0ca4ec38d63cf71246100cd62","target":"record","created_at":"2026-06-26T01:15:17Z","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":"e3f16fac39bdf487b62594ddfa24a281739bf11e9dc0cd33d560e26ef3a410fd","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-01-27T14:06:33Z","title_canon_sha256":"742217a1544c03e65bbe7a3568e5a788ccf65097f4c181128783e621c5c56221"},"schema_version":"1.0","source":{"id":"2602.18446","kind":"arxiv","version":2}},"canonical_sha256":"3d671162813b3e2f31f6f19a3d134f30b4ad092b0028174fe6e976a00ee29403","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3d671162813b3e2f31f6f19a3d134f30b4ad092b0028174fe6e976a00ee29403","first_computed_at":"2026-06-26T01:15:17.571862Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-26T01:15:17.571862Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VJSeObRuIze1T3AVUintFddROY6pZ2baq4r6k3MVI1fe7xr/kpImvQYlMfNvKoEGakJ5jEEMn1+PX5lcoX4XCQ==","signature_status":"signed_v1","signed_at":"2026-06-26T01:15:17.572358Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.18446","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8874cb2b02000b479c4cf403eb3dd548826a85b0ca4ec38d63cf71246100cd62","sha256:bd585cb925868abfd18bfec43e284b6a7e5dad81b088b52669dc1be2de5e8246"],"state_sha256":"0369867769c974790600b26eebaca8049b92ba709de46cc533442d0a0b155ed2"}