{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:HOFCZN66FFRPPMJCAX5EUXYCW4","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":"c4f3217159954eb5ae3ba2d45c007aff80176dfa21a8a0903abe50385b5714d6","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-04-20T10:32:48Z","title_canon_sha256":"6744e1223d22c54f596fd84a67d5d71eb49af64c7701a96935b99c0761706f77"},"schema_version":"1.0","source":{"id":"2606.07528","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.07528","created_at":"2026-06-09T00:04:41Z"},{"alias_kind":"arxiv_version","alias_value":"2606.07528v1","created_at":"2026-06-09T00:04:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.07528","created_at":"2026-06-09T00:04:41Z"},{"alias_kind":"pith_short_12","alias_value":"HOFCZN66FFRP","created_at":"2026-06-09T00:04:41Z"},{"alias_kind":"pith_short_16","alias_value":"HOFCZN66FFRPPMJC","created_at":"2026-06-09T00:04:41Z"},{"alias_kind":"pith_short_8","alias_value":"HOFCZN66","created_at":"2026-06-09T00:04:41Z"}],"graph_snapshots":[{"event_id":"sha256:a6913e40c73d9770e11c662a4af18e1274967dbdc25acfe8e04dc3eeb97793fc","target":"graph","created_at":"2026-06-09T00:04:41Z","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/2606.07528/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Hallucination in large language models (LLMs), defined as the generation of factually incorrect or unsupported content, remains a critical barrier to reliable deployment. We present BEACON (Behavioral Entropy Aggregation for Cross-model hallucination detectiON), a black-box hallucination detection framework that operates purely on model outputs without requiring access to internal representations or external knowledge bases. BEACON extracts a 31-dimensional feature vector from structured multi-pass generation, integrating NLI-based semantic entropy, embedding geometry, chain-of-thought consist","authors_text":"Hansika Aredla, Jinal Prashant Thakkar, Kondaguduru Abhiram, Naveen Bera, Pulijala Sai Nikhila, Shaik Gayaz Ali, Shaik Mohammed Omar, Shalmali Ayachit, Shoaib Sadiq Salehmohamed","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-04-20T10:32:48Z","title":"BEACON: Behavioral Entropy Aggregation for Cross-Model Hallucination Detection in Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.07528","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:aa98d8f6eca3be684c727fa7c8d8998cc1b188ad1d43cf483c863af313f844c4","target":"record","created_at":"2026-06-09T00:04:41Z","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":"c4f3217159954eb5ae3ba2d45c007aff80176dfa21a8a0903abe50385b5714d6","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-04-20T10:32:48Z","title_canon_sha256":"6744e1223d22c54f596fd84a67d5d71eb49af64c7701a96935b99c0761706f77"},"schema_version":"1.0","source":{"id":"2606.07528","kind":"arxiv","version":1}},"canonical_sha256":"3b8a2cb7de2962f7b12205fa4a5f02b732dabc2a67857856878f9069ffab25b4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3b8a2cb7de2962f7b12205fa4a5f02b732dabc2a67857856878f9069ffab25b4","first_computed_at":"2026-06-09T00:04:41.697383Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T00:04:41.697383Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZQRqsdBOJxJnDKLbPyxhcZvbtjo4YNERtQ+8PVr7ptIgqsG2aK0lunaYkyKVq7QMFqUesH53r6ZilkT+7bMYAg==","signature_status":"signed_v1","signed_at":"2026-06-09T00:04:41.698336Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.07528","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aa98d8f6eca3be684c727fa7c8d8998cc1b188ad1d43cf483c863af313f844c4","sha256:a6913e40c73d9770e11c662a4af18e1274967dbdc25acfe8e04dc3eeb97793fc"],"state_sha256":"148fe200207c0b61944066d7fa4d77d9df9cbf19d8802eefb0eb7bf230e6ddf6"}