{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:W7C56FH7XUNN7LPYU2QTJT3Z6I","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":"a5065e9c5ef91a22e035a63e40f6c0208a9fa505bfdd31c56f47eb0dc0f7e21e","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-20T07:31:41Z","title_canon_sha256":"3dbc7ebd3f5ca9f5c518948ad6ac06a5ead3c5894da1bf03c7c3f8df46f98664"},"schema_version":"1.0","source":{"id":"2606.21917","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.21917","created_at":"2026-06-23T02:13:02Z"},{"alias_kind":"arxiv_version","alias_value":"2606.21917v1","created_at":"2026-06-23T02:13:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.21917","created_at":"2026-06-23T02:13:02Z"},{"alias_kind":"pith_short_12","alias_value":"W7C56FH7XUNN","created_at":"2026-06-23T02:13:02Z"},{"alias_kind":"pith_short_16","alias_value":"W7C56FH7XUNN7LPY","created_at":"2026-06-23T02:13:02Z"},{"alias_kind":"pith_short_8","alias_value":"W7C56FH7","created_at":"2026-06-23T02:13:02Z"}],"graph_snapshots":[{"event_id":"sha256:eeae980deaea88cd0aa3a54e383da25b75a9ee4fb95ed464a38b28ee412b3e97","target":"graph","created_at":"2026-06-23T02:13:02Z","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/2606.21917/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Detecting hallucination risk before generation enables abstention, retrieval augmentation, and routing decisions without incurring the cost of decoding.\n  While prior work has shown that such risk can be estimated from a model's internal representations, existing approaches treat this as binary classification over a single decoded output. We instead formulate it as a risk-estimation problem. Under this formulation, we introduce soft-target supervision based on the empirical answer error rate over stochastically sampled outputs - an estimator we prove to be the unique unbiased minimum-variance ","authors_text":"Alexey Zaytsev, Amina Miftakhova","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-20T07:31:41Z","title":"Pre-Generation Hallucination Detection in Large Language Models via Soft-Target Attention Probing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.21917","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":"sha256:62e691302646e2045b49b8692e15b311c38a6671ae9a3c146231c96bc4b42f0e","target":"record","created_at":"2026-06-23T02:13:02Z","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":"a5065e9c5ef91a22e035a63e40f6c0208a9fa505bfdd31c56f47eb0dc0f7e21e","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-20T07:31:41Z","title_canon_sha256":"3dbc7ebd3f5ca9f5c518948ad6ac06a5ead3c5894da1bf03c7c3f8df46f98664"},"schema_version":"1.0","source":{"id":"2606.21917","kind":"arxiv","version":1}},"canonical_sha256":"b7c5df14ffbd1adfadf8a6a134cf79f22b3d4e49bb765210bc8b2b821798eb82","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b7c5df14ffbd1adfadf8a6a134cf79f22b3d4e49bb765210bc8b2b821798eb82","first_computed_at":"2026-06-23T02:13:02.821151Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T02:13:02.821151Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"w54of+SoubMsKAaXqxK92+jQ11IchHrV4oXq8RGMPRSIJISitDvQjTUDHtqRO/WxqkxwOYY2fSVO1Y0olQL/Dw==","signature_status":"signed_v1","signed_at":"2026-06-23T02:13:02.821577Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.21917","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:62e691302646e2045b49b8692e15b311c38a6671ae9a3c146231c96bc4b42f0e","sha256:eeae980deaea88cd0aa3a54e383da25b75a9ee4fb95ed464a38b28ee412b3e97"],"state_sha256":"db6a2ed15d6849e28e2a8aa0cf456c417c57f911d6c663b987e6468dd1dbf66f"}