{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:A2SQKB6EKQHKYN7MVSZXLLQPKT","short_pith_number":"pith:A2SQKB6E","canonical_record":{"source":{"id":"2305.14593","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-05-24T00:18:48Z","cross_cats_sorted":["cs.LG","stat.CO"],"title_canon_sha256":"c190ba4908c1da4e669c1141cf8c3c350cf8159f9758f7a969789fc03e8c36c5","abstract_canon_sha256":"9ccfa4d9d8c32d9f670dca9e1f0df3a2877ee130964d211f3f4b6aa93e616a01"},"schema_version":"1.0"},"canonical_sha256":"06a50507c4540eac37ecacb375ae0f54f1a006783e6c0c3d8079359dd8f91c20","source":{"kind":"arxiv","id":"2305.14593","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.14593","created_at":"2026-07-05T07:06:03Z"},{"alias_kind":"arxiv_version","alias_value":"2305.14593v2","created_at":"2026-07-05T07:06:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.14593","created_at":"2026-07-05T07:06:03Z"},{"alias_kind":"pith_short_12","alias_value":"A2SQKB6EKQHK","created_at":"2026-07-05T07:06:03Z"},{"alias_kind":"pith_short_16","alias_value":"A2SQKB6EKQHKYN7M","created_at":"2026-07-05T07:06:03Z"},{"alias_kind":"pith_short_8","alias_value":"A2SQKB6E","created_at":"2026-07-05T07:06:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:A2SQKB6EKQHKYN7MVSZXLLQPKT","target":"record","payload":{"canonical_record":{"source":{"id":"2305.14593","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-05-24T00:18:48Z","cross_cats_sorted":["cs.LG","stat.CO"],"title_canon_sha256":"c190ba4908c1da4e669c1141cf8c3c350cf8159f9758f7a969789fc03e8c36c5","abstract_canon_sha256":"9ccfa4d9d8c32d9f670dca9e1f0df3a2877ee130964d211f3f4b6aa93e616a01"},"schema_version":"1.0"},"canonical_sha256":"06a50507c4540eac37ecacb375ae0f54f1a006783e6c0c3d8079359dd8f91c20","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:06:03.149570Z","signature_b64":"A6/8e3g70s8H4vHRxNdzwEKQxXt2Jy3746zsoqcQju+Mc8M75YyzPrnAgR/Xe24RZvDoGTvJPsenQAkNwuV6AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"06a50507c4540eac37ecacb375ae0f54f1a006783e6c0c3d8079359dd8f91c20","last_reissued_at":"2026-07-05T07:06:03.149021Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:06:03.149021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.14593","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:06:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"70EbeZoCp9lxO81yqH2koAfmQltt2LOA1ChO+ZUYax4F6mcsbCkRY7EtsQGgU6vNnB9JxPey2Ui5mk+feuPnAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:14:29.804486Z"},"content_sha256":"0c0cd7f30068c24cbf1bf3c42f7151dedeb997287854c77eeb2d0698efd3b0d8","schema_version":"1.0","event_id":"sha256:0c0cd7f30068c24cbf1bf3c42f7151dedeb997287854c77eeb2d0698efd3b0d8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:A2SQKB6EKQHKYN7MVSZXLLQPKT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Discriminative calibration: Check Bayesian computation from simulations and flexible classifier","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.CO"],"primary_cat":"stat.ML","authors_text":"Justin Domke, Yuling Yao","submitted_at":"2023-05-24T00:18:48Z","abstract_excerpt":"To check the accuracy of Bayesian computations, it is common to use rank-based simulation-based calibration (SBC). However, SBC has drawbacks: The test statistic is somewhat ad-hoc, interactions are difficult to examine, multiple testing is a challenge, and the resulting p-value is not a divergence metric. We propose to replace the marginal rank test with a flexible classification approach that learns test statistics from data. This measure typically has a higher statistical power than the SBC rank test and returns an interpretable divergence measure of miscalibration, computed from classifica"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.14593","kind":"arxiv","version":2},"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/2305.14593/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":"2026-07-05T07:06:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2ZOgk4KLVwF/Y+DeVjS9nLfhDf5sm2nAy4I0davyubY9zXnEghY+heGjlJLQeyPhUkVSNMkQvvB5zElu48TuDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:14:29.804867Z"},"content_sha256":"c5b233d37d43bb44de4df0957cebcddef68fba1115542de8bac7d3f9ca3e0460","schema_version":"1.0","event_id":"sha256:c5b233d37d43bb44de4df0957cebcddef68fba1115542de8bac7d3f9ca3e0460"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/A2SQKB6EKQHKYN7MVSZXLLQPKT/bundle.json","state_url":"https://pith.science/pith/A2SQKB6EKQHKYN7MVSZXLLQPKT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/A2SQKB6EKQHKYN7MVSZXLLQPKT/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":"2026-07-07T11:14:29Z","links":{"resolver":"https://pith.science/pith/A2SQKB6EKQHKYN7MVSZXLLQPKT","bundle":"https://pith.science/pith/A2SQKB6EKQHKYN7MVSZXLLQPKT/bundle.json","state":"https://pith.science/pith/A2SQKB6EKQHKYN7MVSZXLLQPKT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/A2SQKB6EKQHKYN7MVSZXLLQPKT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:A2SQKB6EKQHKYN7MVSZXLLQPKT","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":"9ccfa4d9d8c32d9f670dca9e1f0df3a2877ee130964d211f3f4b6aa93e616a01","cross_cats_sorted":["cs.LG","stat.CO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-05-24T00:18:48Z","title_canon_sha256":"c190ba4908c1da4e669c1141cf8c3c350cf8159f9758f7a969789fc03e8c36c5"},"schema_version":"1.0","source":{"id":"2305.14593","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.14593","created_at":"2026-07-05T07:06:03Z"},{"alias_kind":"arxiv_version","alias_value":"2305.14593v2","created_at":"2026-07-05T07:06:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.14593","created_at":"2026-07-05T07:06:03Z"},{"alias_kind":"pith_short_12","alias_value":"A2SQKB6EKQHK","created_at":"2026-07-05T07:06:03Z"},{"alias_kind":"pith_short_16","alias_value":"A2SQKB6EKQHKYN7M","created_at":"2026-07-05T07:06:03Z"},{"alias_kind":"pith_short_8","alias_value":"A2SQKB6E","created_at":"2026-07-05T07:06:03Z"}],"graph_snapshots":[{"event_id":"sha256:c5b233d37d43bb44de4df0957cebcddef68fba1115542de8bac7d3f9ca3e0460","target":"graph","created_at":"2026-07-05T07:06:03Z","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/2305.14593/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To check the accuracy of Bayesian computations, it is common to use rank-based simulation-based calibration (SBC). However, SBC has drawbacks: The test statistic is somewhat ad-hoc, interactions are difficult to examine, multiple testing is a challenge, and the resulting p-value is not a divergence metric. We propose to replace the marginal rank test with a flexible classification approach that learns test statistics from data. This measure typically has a higher statistical power than the SBC rank test and returns an interpretable divergence measure of miscalibration, computed from classifica","authors_text":"Justin Domke, Yuling Yao","cross_cats":["cs.LG","stat.CO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-05-24T00:18:48Z","title":"Discriminative calibration: Check Bayesian computation from simulations and flexible classifier"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.14593","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":"sha256:0c0cd7f30068c24cbf1bf3c42f7151dedeb997287854c77eeb2d0698efd3b0d8","target":"record","created_at":"2026-07-05T07:06:03Z","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":"9ccfa4d9d8c32d9f670dca9e1f0df3a2877ee130964d211f3f4b6aa93e616a01","cross_cats_sorted":["cs.LG","stat.CO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-05-24T00:18:48Z","title_canon_sha256":"c190ba4908c1da4e669c1141cf8c3c350cf8159f9758f7a969789fc03e8c36c5"},"schema_version":"1.0","source":{"id":"2305.14593","kind":"arxiv","version":2}},"canonical_sha256":"06a50507c4540eac37ecacb375ae0f54f1a006783e6c0c3d8079359dd8f91c20","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"06a50507c4540eac37ecacb375ae0f54f1a006783e6c0c3d8079359dd8f91c20","first_computed_at":"2026-07-05T07:06:03.149021Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:06:03.149021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"A6/8e3g70s8H4vHRxNdzwEKQxXt2Jy3746zsoqcQju+Mc8M75YyzPrnAgR/Xe24RZvDoGTvJPsenQAkNwuV6AA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:06:03.149570Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.14593","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0c0cd7f30068c24cbf1bf3c42f7151dedeb997287854c77eeb2d0698efd3b0d8","sha256:c5b233d37d43bb44de4df0957cebcddef68fba1115542de8bac7d3f9ca3e0460"],"state_sha256":"5a9c691f339e93f32313537f0967b6632efd31f1a62fc1ae666b17cac931ba8f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5FfZeIMbr44PTLPcffje7Gjk5QIjiC5sQ8Cea+ngPutbYr2jyJcdAH2GhV/3nOfdQteRhm3HUFK6X5KmZ/qNCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T11:14:29.807059Z","bundle_sha256":"bf237efe784beeecc36cc1b16df815f95ea8d7db0d275af7c449f77989a21e2c"}}