{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:U5Q2Q25J5WKLALMMKR5TBGGFVA","short_pith_number":"pith:U5Q2Q25J","canonical_record":{"source":{"id":"2309.15704","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-09-27T14:46:10Z","cross_cats_sorted":[],"title_canon_sha256":"a614349732ec5589794512a5402158ca3a9397bda4a719f4a8e97ce1c4388137","abstract_canon_sha256":"01bad52213fef5263d9635e44b37097cc210498e455bf8a7b0acc06b272bc1f6"},"schema_version":"1.0"},"canonical_sha256":"a761a86ba9ed94b02d8c547b3098c5a83b06592c4a397d4cc78e95c1596538e5","source":{"kind":"arxiv","id":"2309.15704","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.15704","created_at":"2026-07-05T10:07:38Z"},{"alias_kind":"arxiv_version","alias_value":"2309.15704v2","created_at":"2026-07-05T10:07:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.15704","created_at":"2026-07-05T10:07:38Z"},{"alias_kind":"pith_short_12","alias_value":"U5Q2Q25J5WKL","created_at":"2026-07-05T10:07:38Z"},{"alias_kind":"pith_short_16","alias_value":"U5Q2Q25J5WKLALMM","created_at":"2026-07-05T10:07:38Z"},{"alias_kind":"pith_short_8","alias_value":"U5Q2Q25J","created_at":"2026-07-05T10:07:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:U5Q2Q25J5WKLALMMKR5TBGGFVA","target":"record","payload":{"canonical_record":{"source":{"id":"2309.15704","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-09-27T14:46:10Z","cross_cats_sorted":[],"title_canon_sha256":"a614349732ec5589794512a5402158ca3a9397bda4a719f4a8e97ce1c4388137","abstract_canon_sha256":"01bad52213fef5263d9635e44b37097cc210498e455bf8a7b0acc06b272bc1f6"},"schema_version":"1.0"},"canonical_sha256":"a761a86ba9ed94b02d8c547b3098c5a83b06592c4a397d4cc78e95c1596538e5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:07:38.436215Z","signature_b64":"2g1o7TWySQEU5x+EoZRZ/NYWfxBAPoFi/AOkVKk/c8aNd5/ASdcNbkYE4NPZ7ZPpKUwhtwno0GbC7YDsqIQIAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a761a86ba9ed94b02d8c547b3098c5a83b06592c4a397d4cc78e95c1596538e5","last_reissued_at":"2026-07-05T10:07:38.435822Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:07:38.435822Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.15704","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":"2026-07-05T10:07:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IlidSYNNL3ZFJkdu1c7a//EHCkd/VgvYdEbpK/r+Tr2JY7jtqiVdyRhenV6M53fVfVQTdAiew/L2gONqUlUfAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T22:44:46.219408Z"},"content_sha256":"1ae7a5824eaf4d6c9ef56f3e8522702af3720ae12c86c6898b92a39765a7d4c7","schema_version":"1.0","event_id":"sha256:1ae7a5824eaf4d6c9ef56f3e8522702af3720ae12c86c6898b92a39765a7d4c7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:U5Q2Q25J5WKLALMMKR5TBGGFVA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Antoine de Mathelin, Fran\\c{c}ois Deheeger, Mathilde Mougeot, Nicolas Vayatis","submitted_at":"2023-09-27T14:46:10Z","abstract_excerpt":"This paper deals with uncertainty quantification and out-of-distribution detection in deep learning using Bayesian and ensemble methods. It proposes a practical solution to the lack of prediction diversity observed recently for standard approaches when used out-of-distribution (Ovadia et al., 2019; Liu et al., 2021). Considering that this issue is mainly related to a lack of weight diversity, we claim that standard methods sample in \"over-restricted\" regions of the weight space due to the use of \"over-regularization\" processes, such as weight decay and zero-mean centered Gaussian priors. We pr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.15704","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/2309.15704/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":"2026-07-05T10:07:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"swV6V6qbzo0AWlfMxkqZWQK24zDk4+Pel8ytR3/53Q94QWKGgWx9k+zJkWYZlT7L4FiwpVqJpzt5BHWE0CmMDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T22:44:46.219904Z"},"content_sha256":"2d1dafc8ea3c4fcf96adf4680d638b795cee6352b89b1e7e0a759fbdcfaae7ec","schema_version":"1.0","event_id":"sha256:2d1dafc8ea3c4fcf96adf4680d638b795cee6352b89b1e7e0a759fbdcfaae7ec"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U5Q2Q25J5WKLALMMKR5TBGGFVA/bundle.json","state_url":"https://pith.science/pith/U5Q2Q25J5WKLALMMKR5TBGGFVA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U5Q2Q25J5WKLALMMKR5TBGGFVA/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":"2026-08-22T22:44:46Z","links":{"resolver":"https://pith.science/pith/U5Q2Q25J5WKLALMMKR5TBGGFVA","bundle":"https://pith.science/pith/U5Q2Q25J5WKLALMMKR5TBGGFVA/bundle.json","state":"https://pith.science/pith/U5Q2Q25J5WKLALMMKR5TBGGFVA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U5Q2Q25J5WKLALMMKR5TBGGFVA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:U5Q2Q25J5WKLALMMKR5TBGGFVA","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":"01bad52213fef5263d9635e44b37097cc210498e455bf8a7b0acc06b272bc1f6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-09-27T14:46:10Z","title_canon_sha256":"a614349732ec5589794512a5402158ca3a9397bda4a719f4a8e97ce1c4388137"},"schema_version":"1.0","source":{"id":"2309.15704","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.15704","created_at":"2026-07-05T10:07:38Z"},{"alias_kind":"arxiv_version","alias_value":"2309.15704v2","created_at":"2026-07-05T10:07:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.15704","created_at":"2026-07-05T10:07:38Z"},{"alias_kind":"pith_short_12","alias_value":"U5Q2Q25J5WKL","created_at":"2026-07-05T10:07:38Z"},{"alias_kind":"pith_short_16","alias_value":"U5Q2Q25J5WKLALMM","created_at":"2026-07-05T10:07:38Z"},{"alias_kind":"pith_short_8","alias_value":"U5Q2Q25J","created_at":"2026-07-05T10:07:38Z"}],"graph_snapshots":[{"event_id":"sha256:2d1dafc8ea3c4fcf96adf4680d638b795cee6352b89b1e7e0a759fbdcfaae7ec","target":"graph","created_at":"2026-07-05T10:07:38Z","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/2309.15704/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper deals with uncertainty quantification and out-of-distribution detection in deep learning using Bayesian and ensemble methods. It proposes a practical solution to the lack of prediction diversity observed recently for standard approaches when used out-of-distribution (Ovadia et al., 2019; Liu et al., 2021). Considering that this issue is mainly related to a lack of weight diversity, we claim that standard methods sample in \"over-restricted\" regions of the weight space due to the use of \"over-regularization\" processes, such as weight decay and zero-mean centered Gaussian priors. We pr","authors_text":"Antoine de Mathelin, Fran\\c{c}ois Deheeger, Mathilde Mougeot, Nicolas Vayatis","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-09-27T14:46:10Z","title":"Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.15704","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":"sha256:1ae7a5824eaf4d6c9ef56f3e8522702af3720ae12c86c6898b92a39765a7d4c7","target":"record","created_at":"2026-07-05T10:07:38Z","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":"01bad52213fef5263d9635e44b37097cc210498e455bf8a7b0acc06b272bc1f6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-09-27T14:46:10Z","title_canon_sha256":"a614349732ec5589794512a5402158ca3a9397bda4a719f4a8e97ce1c4388137"},"schema_version":"1.0","source":{"id":"2309.15704","kind":"arxiv","version":2}},"canonical_sha256":"a761a86ba9ed94b02d8c547b3098c5a83b06592c4a397d4cc78e95c1596538e5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a761a86ba9ed94b02d8c547b3098c5a83b06592c4a397d4cc78e95c1596538e5","first_computed_at":"2026-07-05T10:07:38.435822Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:07:38.435822Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2g1o7TWySQEU5x+EoZRZ/NYWfxBAPoFi/AOkVKk/c8aNd5/ASdcNbkYE4NPZ7ZPpKUwhtwno0GbC7YDsqIQIAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:07:38.436215Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.15704","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1ae7a5824eaf4d6c9ef56f3e8522702af3720ae12c86c6898b92a39765a7d4c7","sha256:2d1dafc8ea3c4fcf96adf4680d638b795cee6352b89b1e7e0a759fbdcfaae7ec"],"state_sha256":"3fcfd8e107bbc690123969bd8622293b85872949295a1fd2413b3322b5efb09b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t+qJM3Iljbcz6IT55mHv9E8iGfglEVvtn2jAG7XLAf4Qu78BI3bHd7QihE2+1jPEOUMKOCB6AD2wh7ihm6+SDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T22:44:46.224067Z","bundle_sha256":"4cba24848367309cb1c64e618411e13244d41c5f4298a4a899ab5f79475ab1a2"}}