{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:YCM6UHQH23AYZPAGDK2KOEWUUU","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":"bc4fab2f84ad8f5fce7dc392ac87ceb3573a45ef3dcc4d053d1b80ba1e350c8b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-11-11T07:08:27Z","title_canon_sha256":"24567c703f362b717d3314a921875dde24826aed5e2f57b6fd71079af82555fd"},"schema_version":"1.0","source":{"id":"2511.07910","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2511.07910","created_at":"2026-06-02T01:03:38Z"},{"alias_kind":"arxiv_version","alias_value":"2511.07910v2","created_at":"2026-06-02T01:03:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.07910","created_at":"2026-06-02T01:03:38Z"},{"alias_kind":"pith_short_12","alias_value":"YCM6UHQH23AY","created_at":"2026-06-02T01:03:38Z"},{"alias_kind":"pith_short_16","alias_value":"YCM6UHQH23AYZPAG","created_at":"2026-06-02T01:03:38Z"},{"alias_kind":"pith_short_8","alias_value":"YCM6UHQH","created_at":"2026-06-02T01:03:38Z"}],"graph_snapshots":[{"event_id":"sha256:8f992f7ba4755ef57ce2b4fc2dcbfb781c417b6a0a6503af1969845b1434ee5a","target":"graph","created_at":"2026-06-02T01:03:38Z","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/2511.07910/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) achieve excellent performance in natural language reasoning tasks through pre-training on vast unstructured text, enabling them to understand the logic in natural language and generate logic-consistent responses. However, the representational differences between unstructured and structured knowledge make LLMs inherently struggle to maintain logic consistency, leading to \\textit{Logic Drift} challenges in structured knowledge reasoning tasks such as Knowledge Graph Question Answering (KGQA). Existing methods address this limitation by designing complex workflows emb","authors_text":"Huajun Chen, Lei Liang, Songze Li, Wen Zhang, Xiaoke Guo, Zhaoyan Gong, Zhengke Gui, Zhiqiang Liu, Zhongpu Bo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-11-11T07:08:27Z","title":"Last Layer Logits to Logic: Empowering LLMs with Logic-Consistent Structured Knowledge Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.07910","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":"sha256:06b76c645025920242ad2316b53ec483a496f1e23297e9a1aad1bb2b617dadcf","target":"record","created_at":"2026-06-02T01:03:38Z","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":"bc4fab2f84ad8f5fce7dc392ac87ceb3573a45ef3dcc4d053d1b80ba1e350c8b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-11-11T07:08:27Z","title_canon_sha256":"24567c703f362b717d3314a921875dde24826aed5e2f57b6fd71079af82555fd"},"schema_version":"1.0","source":{"id":"2511.07910","kind":"arxiv","version":2}},"canonical_sha256":"c099ea1e07d6c18cbc061ab4a712d4a5307d8d5b6f132908ec6f6d2a3325de26","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c099ea1e07d6c18cbc061ab4a712d4a5307d8d5b6f132908ec6f6d2a3325de26","first_computed_at":"2026-06-02T01:03:38.329754Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T01:03:38.329754Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1Kop/b2DhvFAQOB4/htbdoL/acq5ucU5G47TTF/5fe9dguN5R2bTgSZr50uKvp9LGo+5t73Cq66At/TpKpYBBw==","signature_status":"signed_v1","signed_at":"2026-06-02T01:03:38.330313Z","signed_message":"canonical_sha256_bytes"},"source_id":"2511.07910","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:06b76c645025920242ad2316b53ec483a496f1e23297e9a1aad1bb2b617dadcf","sha256:8f992f7ba4755ef57ce2b4fc2dcbfb781c417b6a0a6503af1969845b1434ee5a"],"state_sha256":"33408f170337ec2411e7334b5422ee0a6893d2a84d00f5b9b7ca8108f382bbb6"}