{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:NKZ7C4H3YEQJVJBAHUZMDNGGKB","short_pith_number":"pith:NKZ7C4H3","canonical_record":{"source":{"id":"2408.00838","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-08-01T18:00:05Z","cross_cats_sorted":["cs.AI","hep-ph"],"title_canon_sha256":"9844f15ffca906b9a2129c1d667b17c92df4bfbd4c95abe01d2d32f5201ebbed","abstract_canon_sha256":"510bb9707b0e50188b82edd436da6ac0cfd9cf76797e112916b2aa82f2f90c11"},"schema_version":"1.0"},"canonical_sha256":"6ab3f170fbc1209aa4203d32c1b4c65069fde4b18c574329f50888eced34043a","source":{"kind":"arxiv","id":"2408.00838","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.00838","created_at":"2026-07-05T09:37:55Z"},{"alias_kind":"arxiv_version","alias_value":"2408.00838v2","created_at":"2026-07-05T09:37:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.00838","created_at":"2026-07-05T09:37:55Z"},{"alias_kind":"pith_short_12","alias_value":"NKZ7C4H3YEQJ","created_at":"2026-07-05T09:37:55Z"},{"alias_kind":"pith_short_16","alias_value":"NKZ7C4H3YEQJVJBA","created_at":"2026-07-05T09:37:55Z"},{"alias_kind":"pith_short_8","alias_value":"NKZ7C4H3","created_at":"2026-07-05T09:37:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:NKZ7C4H3YEQJVJBAHUZMDNGGKB","target":"record","payload":{"canonical_record":{"source":{"id":"2408.00838","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-08-01T18:00:05Z","cross_cats_sorted":["cs.AI","hep-ph"],"title_canon_sha256":"9844f15ffca906b9a2129c1d667b17c92df4bfbd4c95abe01d2d32f5201ebbed","abstract_canon_sha256":"510bb9707b0e50188b82edd436da6ac0cfd9cf76797e112916b2aa82f2f90c11"},"schema_version":"1.0"},"canonical_sha256":"6ab3f170fbc1209aa4203d32c1b4c65069fde4b18c574329f50888eced34043a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:37:55.820295Z","signature_b64":"2VahydYrLcejQ6vDYADhicmJm/7BlKGUGhGzZU9lgMOCKmeIJlsu1TMkIU60e88rjEqzgBXNrbCEUTrIU/VKCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6ab3f170fbc1209aa4203d32c1b4c65069fde4b18c574329f50888eced34043a","last_reissued_at":"2026-07-05T09:37:55.819849Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:37:55.819849Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.00838","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":"2026-07-05T09:37:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"82byEogZjlvyLnqPhH2zR85r5zl00wO46bqSMhiYZrBtnPt71nL7kDKmSPvbUYYAmvdY5Kfijqt6lbYZUBnqDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T20:47:53.523602Z"},"content_sha256":"fdd7fa7d45d82cd0f4916683fc626be294a20e26d82a25303476275194aaea1b","schema_version":"1.0","event_id":"sha256:fdd7fa7d45d82cd0f4916683fc626be294a20e26d82a25303476275194aaea1b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:NKZ7C4H3YEQJVJBAHUZMDNGGKB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Calibrating Bayesian Generative Machine Learning for Bayesiamplification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","hep-ph"],"primary_cat":"cs.LG","authors_text":"Gregor Kasieczka, Mathias Trabs, Sascha Diefenbacher, Sebastian Bieringer","submitted_at":"2024-08-01T18:00:05Z","abstract_excerpt":"Recently, combinations of generative and Bayesian machine learning have been introduced in particle physics for both fast detector simulation and inference tasks. These neural networks aim to quantify the uncertainty on the generated distribution originating from limited training statistics. The interpretation of a distribution-wide uncertainty however remains ill-defined. We show a clear scheme for quantifying the calibration of Bayesian generative machine learning models. For a Continuous Normalizing Flow applied to a low-dimensional toy example, we evaluate the calibration of Bayesian uncer"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.00838","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/2408.00838/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":"2026-07-05T09:37:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rPVWLiY2frzTIiAmEnHt+gbscMdgQiZGHwLPJaNb6S3BcVpaLtEhOC0GGBx9gqbynZ2ICskqx/1ui4brZKmnAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T20:47:53.524110Z"},"content_sha256":"7cd66e0ac11025069e1faba57a87d03eb3c5d4c8063fd89a653d46d19cb53f4f","schema_version":"1.0","event_id":"sha256:7cd66e0ac11025069e1faba57a87d03eb3c5d4c8063fd89a653d46d19cb53f4f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NKZ7C4H3YEQJVJBAHUZMDNGGKB/bundle.json","state_url":"https://pith.science/pith/NKZ7C4H3YEQJVJBAHUZMDNGGKB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NKZ7C4H3YEQJVJBAHUZMDNGGKB/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":"2026-08-03T20:47:53Z","links":{"resolver":"https://pith.science/pith/NKZ7C4H3YEQJVJBAHUZMDNGGKB","bundle":"https://pith.science/pith/NKZ7C4H3YEQJVJBAHUZMDNGGKB/bundle.json","state":"https://pith.science/pith/NKZ7C4H3YEQJVJBAHUZMDNGGKB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NKZ7C4H3YEQJVJBAHUZMDNGGKB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NKZ7C4H3YEQJVJBAHUZMDNGGKB","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":"510bb9707b0e50188b82edd436da6ac0cfd9cf76797e112916b2aa82f2f90c11","cross_cats_sorted":["cs.AI","hep-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-08-01T18:00:05Z","title_canon_sha256":"9844f15ffca906b9a2129c1d667b17c92df4bfbd4c95abe01d2d32f5201ebbed"},"schema_version":"1.0","source":{"id":"2408.00838","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.00838","created_at":"2026-07-05T09:37:55Z"},{"alias_kind":"arxiv_version","alias_value":"2408.00838v2","created_at":"2026-07-05T09:37:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.00838","created_at":"2026-07-05T09:37:55Z"},{"alias_kind":"pith_short_12","alias_value":"NKZ7C4H3YEQJ","created_at":"2026-07-05T09:37:55Z"},{"alias_kind":"pith_short_16","alias_value":"NKZ7C4H3YEQJVJBA","created_at":"2026-07-05T09:37:55Z"},{"alias_kind":"pith_short_8","alias_value":"NKZ7C4H3","created_at":"2026-07-05T09:37:55Z"}],"graph_snapshots":[{"event_id":"sha256:7cd66e0ac11025069e1faba57a87d03eb3c5d4c8063fd89a653d46d19cb53f4f","target":"graph","created_at":"2026-07-05T09:37:55Z","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/2408.00838/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, combinations of generative and Bayesian machine learning have been introduced in particle physics for both fast detector simulation and inference tasks. These neural networks aim to quantify the uncertainty on the generated distribution originating from limited training statistics. The interpretation of a distribution-wide uncertainty however remains ill-defined. We show a clear scheme for quantifying the calibration of Bayesian generative machine learning models. For a Continuous Normalizing Flow applied to a low-dimensional toy example, we evaluate the calibration of Bayesian uncer","authors_text":"Gregor Kasieczka, Mathias Trabs, Sascha Diefenbacher, Sebastian Bieringer","cross_cats":["cs.AI","hep-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-08-01T18:00:05Z","title":"Calibrating Bayesian Generative Machine Learning for Bayesiamplification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.00838","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:fdd7fa7d45d82cd0f4916683fc626be294a20e26d82a25303476275194aaea1b","target":"record","created_at":"2026-07-05T09:37:55Z","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":"510bb9707b0e50188b82edd436da6ac0cfd9cf76797e112916b2aa82f2f90c11","cross_cats_sorted":["cs.AI","hep-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-08-01T18:00:05Z","title_canon_sha256":"9844f15ffca906b9a2129c1d667b17c92df4bfbd4c95abe01d2d32f5201ebbed"},"schema_version":"1.0","source":{"id":"2408.00838","kind":"arxiv","version":2}},"canonical_sha256":"6ab3f170fbc1209aa4203d32c1b4c65069fde4b18c574329f50888eced34043a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6ab3f170fbc1209aa4203d32c1b4c65069fde4b18c574329f50888eced34043a","first_computed_at":"2026-07-05T09:37:55.819849Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:37:55.819849Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2VahydYrLcejQ6vDYADhicmJm/7BlKGUGhGzZU9lgMOCKmeIJlsu1TMkIU60e88rjEqzgBXNrbCEUTrIU/VKCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:37:55.820295Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.00838","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fdd7fa7d45d82cd0f4916683fc626be294a20e26d82a25303476275194aaea1b","sha256:7cd66e0ac11025069e1faba57a87d03eb3c5d4c8063fd89a653d46d19cb53f4f"],"state_sha256":"ecacf0caa2a3e98c6a7a98b348e5be0f9cc082588a165f04844cb64f46e2aff1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Le8TVJtDY7lKWRnEb2bwyHBSME39xiiVvFRt92ppxt5UeAitnpQbM74rFpru7BeTvA7kZzVjwMp2hqDMCRHEAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T20:47:53.528972Z","bundle_sha256":"4b0f234046b5efb09be8af8ee69985b0155a61616a26364d1a47a4e6c5df4771"}}