{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:MKXOCB72C7Z5WF7S35LJCTSIA4","short_pith_number":"pith:MKXOCB72","canonical_record":{"source":{"id":"2606.08158","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-06T13:14:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"82f42d6fb67b3d0003aefe9a0980a86288a7a8ded7032c4a6c4575db88e71683","abstract_canon_sha256":"1572d8b8c23b0907accdaa1f02fb3a13047af23fd9ff142ef69e516b08fca447"},"schema_version":"1.0"},"canonical_sha256":"62aee107fa17f3db17f2df56914e48072da971047fc83128f68160de69126417","source":{"kind":"arxiv","id":"2606.08158","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.08158","created_at":"2026-06-09T01:05:28Z"},{"alias_kind":"arxiv_version","alias_value":"2606.08158v1","created_at":"2026-06-09T01:05:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.08158","created_at":"2026-06-09T01:05:28Z"},{"alias_kind":"pith_short_12","alias_value":"MKXOCB72C7Z5","created_at":"2026-06-09T01:05:28Z"},{"alias_kind":"pith_short_16","alias_value":"MKXOCB72C7Z5WF7S","created_at":"2026-06-09T01:05:28Z"},{"alias_kind":"pith_short_8","alias_value":"MKXOCB72","created_at":"2026-06-09T01:05:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:MKXOCB72C7Z5WF7S35LJCTSIA4","target":"record","payload":{"canonical_record":{"source":{"id":"2606.08158","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-06T13:14:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"82f42d6fb67b3d0003aefe9a0980a86288a7a8ded7032c4a6c4575db88e71683","abstract_canon_sha256":"1572d8b8c23b0907accdaa1f02fb3a13047af23fd9ff142ef69e516b08fca447"},"schema_version":"1.0"},"canonical_sha256":"62aee107fa17f3db17f2df56914e48072da971047fc83128f68160de69126417","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T01:05:28.534829Z","signature_b64":"fxTnLNvIh2gfHkUW023T+LBN+1Z5Mx532rk8AtvuqJSvvKU2/LsB7NQUi7T+gcMy3Ch4Y8yYkNfoky1cATp8BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"62aee107fa17f3db17f2df56914e48072da971047fc83128f68160de69126417","last_reissued_at":"2026-06-09T01:05:28.534150Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T01:05:28.534150Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.08158","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-09T01:05:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RC8pJK7c5xTjH1Pc7knoQB1itcBD/lI3MtBxRqek5yj6uXO58yjPfSlEiUPvPHmtXWfIHsqPKH0HKzTCujCwBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T03:58:55.343106Z"},"content_sha256":"e00b6cac147fe6ec306b26c67321639deb311ed95e08539daa2d46aeafdb8ee7","schema_version":"1.0","event_id":"sha256:e00b6cac147fe6ec306b26c67321639deb311ed95e08539daa2d46aeafdb8ee7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:MKXOCB72C7Z5WF7S35LJCTSIA4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Constrained Paraphrase Consistency for LLM Hallucination Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Chao Chen, Dongsheng Hong, Shanshan Lin, Sibo Ju, Xiangwen Liao, Xi Zhang","submitted_at":"2026-06-06T13:14:10Z","abstract_excerpt":"Large language models (LLMs) can generate factually inconsistent claims, motivating accurate and scalable hallucination detectors. Prior work largely enlarges training sets via synthesis or new annotations, introducing increasing cost and potential bias while underusing the consistency implied by semantically equivalent paraphrases. We propose Consistency-Constrained Hallucination Detector (CCHD), which formulates training as a constrained optimization problem. The standard cross-entropy on original document-claim pairs is complemented by (i) paraphrase-consistency constraints bounding diverge"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.08158","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.08158/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-09T01:05:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ssmskdXLOioSPB14L/r2HDnXs9iBaHd2GG4Ks19CodttGKjPq06SIDxi1BqKvWJkC9CgtSnZ4VSSPAqmufD0Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T03:58:55.343833Z"},"content_sha256":"eacdd07eca8ac315f6c0263a2ef91239356f757c0c4e6335252ec56cae43e938","schema_version":"1.0","event_id":"sha256:eacdd07eca8ac315f6c0263a2ef91239356f757c0c4e6335252ec56cae43e938"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MKXOCB72C7Z5WF7S35LJCTSIA4/bundle.json","state_url":"https://pith.science/pith/MKXOCB72C7Z5WF7S35LJCTSIA4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MKXOCB72C7Z5WF7S35LJCTSIA4/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-12T03:58:55Z","links":{"resolver":"https://pith.science/pith/MKXOCB72C7Z5WF7S35LJCTSIA4","bundle":"https://pith.science/pith/MKXOCB72C7Z5WF7S35LJCTSIA4/bundle.json","state":"https://pith.science/pith/MKXOCB72C7Z5WF7S35LJCTSIA4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MKXOCB72C7Z5WF7S35LJCTSIA4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:MKXOCB72C7Z5WF7S35LJCTSIA4","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":"1572d8b8c23b0907accdaa1f02fb3a13047af23fd9ff142ef69e516b08fca447","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-06T13:14:10Z","title_canon_sha256":"82f42d6fb67b3d0003aefe9a0980a86288a7a8ded7032c4a6c4575db88e71683"},"schema_version":"1.0","source":{"id":"2606.08158","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.08158","created_at":"2026-06-09T01:05:28Z"},{"alias_kind":"arxiv_version","alias_value":"2606.08158v1","created_at":"2026-06-09T01:05:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.08158","created_at":"2026-06-09T01:05:28Z"},{"alias_kind":"pith_short_12","alias_value":"MKXOCB72C7Z5","created_at":"2026-06-09T01:05:28Z"},{"alias_kind":"pith_short_16","alias_value":"MKXOCB72C7Z5WF7S","created_at":"2026-06-09T01:05:28Z"},{"alias_kind":"pith_short_8","alias_value":"MKXOCB72","created_at":"2026-06-09T01:05:28Z"}],"graph_snapshots":[{"event_id":"sha256:eacdd07eca8ac315f6c0263a2ef91239356f757c0c4e6335252ec56cae43e938","target":"graph","created_at":"2026-06-09T01:05:28Z","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/2606.08158/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) can generate factually inconsistent claims, motivating accurate and scalable hallucination detectors. Prior work largely enlarges training sets via synthesis or new annotations, introducing increasing cost and potential bias while underusing the consistency implied by semantically equivalent paraphrases. We propose Consistency-Constrained Hallucination Detector (CCHD), which formulates training as a constrained optimization problem. The standard cross-entropy on original document-claim pairs is complemented by (i) paraphrase-consistency constraints bounding diverge","authors_text":"Chao Chen, Dongsheng Hong, Shanshan Lin, Sibo Ju, Xiangwen Liao, Xi Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-06T13:14:10Z","title":"Constrained Paraphrase Consistency for LLM Hallucination Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.08158","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:e00b6cac147fe6ec306b26c67321639deb311ed95e08539daa2d46aeafdb8ee7","target":"record","created_at":"2026-06-09T01:05:28Z","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":"1572d8b8c23b0907accdaa1f02fb3a13047af23fd9ff142ef69e516b08fca447","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-06T13:14:10Z","title_canon_sha256":"82f42d6fb67b3d0003aefe9a0980a86288a7a8ded7032c4a6c4575db88e71683"},"schema_version":"1.0","source":{"id":"2606.08158","kind":"arxiv","version":1}},"canonical_sha256":"62aee107fa17f3db17f2df56914e48072da971047fc83128f68160de69126417","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"62aee107fa17f3db17f2df56914e48072da971047fc83128f68160de69126417","first_computed_at":"2026-06-09T01:05:28.534150Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T01:05:28.534150Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fxTnLNvIh2gfHkUW023T+LBN+1Z5Mx532rk8AtvuqJSvvKU2/LsB7NQUi7T+gcMy3Ch4Y8yYkNfoky1cATp8BA==","signature_status":"signed_v1","signed_at":"2026-06-09T01:05:28.534829Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.08158","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e00b6cac147fe6ec306b26c67321639deb311ed95e08539daa2d46aeafdb8ee7","sha256:eacdd07eca8ac315f6c0263a2ef91239356f757c0c4e6335252ec56cae43e938"],"state_sha256":"f69bb3525a9acff2fd751498e0bdb4b222531ea6c28d95ad8e48bbed18700bde"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"49oBqjH0+PkKTC5Fsk34zv8ocj/36JD5dH29suRIwNXBWRBgYmbMuCdlaM0+pl0KqqI9NFHrz7KVWl2MSxETDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-12T03:58:55.347690Z","bundle_sha256":"8ed8772e4f9561604cc23a942c4e46ec05e0ad34eede39732263f3fc75740ab9"}}