{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DIIC6UJHK34GFYIPA5Z6GOQE5Q","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":"a3c9f576710fc74223b7a74436def62ed98de70a3f326a104fee090ab3523ea1","cross_cats_sorted":["cs.CL","cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-08T05:33:03Z","title_canon_sha256":"424f1479c018906ac297a315f415292a5740be39a543f64a20a37795c6c3014c"},"schema_version":"1.0","source":{"id":"2606.09046","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.09046","created_at":"2026-06-09T02:07:55Z"},{"alias_kind":"arxiv_version","alias_value":"2606.09046v1","created_at":"2026-06-09T02:07:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.09046","created_at":"2026-06-09T02:07:55Z"},{"alias_kind":"pith_short_12","alias_value":"DIIC6UJHK34G","created_at":"2026-06-09T02:07:55Z"},{"alias_kind":"pith_short_16","alias_value":"DIIC6UJHK34GFYIP","created_at":"2026-06-09T02:07:55Z"},{"alias_kind":"pith_short_8","alias_value":"DIIC6UJH","created_at":"2026-06-09T02:07:55Z"}],"graph_snapshots":[{"event_id":"sha256:874278ac7f9dbad3ab413eb676e9e80efe5b748d42367247d6b1820938d8838d","target":"graph","created_at":"2026-06-09T02:07:55Z","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/2606.09046/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Useful audits reveal not only how often a model fails, but also where its failures concentrate. An auditor may test many candidate explanations: long inputs, indirect questions, distracting evidence, or combinations of these factors. The risk is selection. The largest observed effect may reflect a real failure mode, or it may simply be the best result among many tried. We introduce Janus, a procedure for deciding when a proposed error explanation is credible enough to report. The goal is not to generate new explanations, but to decide which ones hold up. The auditor starts with a fixed model, ","authors_text":"Ameya Gawde, Harshvardhan Singh, Vyzantinos Repantis","cross_cats":["cs.CL","cs.IR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-08T05:33:03Z","title":"Decoy-Calibrated Failure Audits for Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.09046","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:a53e8faf591354fc0b5511566e739b9b62727eaadfcbe53a6b5d92353f5539d0","target":"record","created_at":"2026-06-09T02:07:55Z","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":"a3c9f576710fc74223b7a74436def62ed98de70a3f326a104fee090ab3523ea1","cross_cats_sorted":["cs.CL","cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-08T05:33:03Z","title_canon_sha256":"424f1479c018906ac297a315f415292a5740be39a543f64a20a37795c6c3014c"},"schema_version":"1.0","source":{"id":"2606.09046","kind":"arxiv","version":1}},"canonical_sha256":"1a102f512756f862e10f0773e33a04ec0954a382014886ab85b690a19c632182","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1a102f512756f862e10f0773e33a04ec0954a382014886ab85b690a19c632182","first_computed_at":"2026-06-09T02:07:55.457053Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T02:07:55.457053Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FedNZlWdq7iVxgL8G6aNny+X7H5FqP893vtQrK3ii1lW+/mGoOYt7aqNMNj0Yvn9jVxsGuiT19Em07eN8QLHDA==","signature_status":"signed_v1","signed_at":"2026-06-09T02:07:55.457930Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.09046","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a53e8faf591354fc0b5511566e739b9b62727eaadfcbe53a6b5d92353f5539d0","sha256:874278ac7f9dbad3ab413eb676e9e80efe5b748d42367247d6b1820938d8838d"],"state_sha256":"995131d3ea0d4062e4a21630b691e21dbbe75cbafb17beb208c25209ac83b851"}