{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:XTZ43DNBOAGBCHKVNOXUSXP7CP","short_pith_number":"pith:XTZ43DNB","canonical_record":{"source":{"id":"2410.06120","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-08T15:22:15Z","cross_cats_sorted":["physics.data-an"],"title_canon_sha256":"14dc9f1b02e57752b239262ce3ba354f15dd6b3728441acec3f26057b54f0f17","abstract_canon_sha256":"525c34799a7e7b50fe563fc0898b0c42162c0b2e40876e542cd62b47344e5a9b"},"schema_version":"1.0"},"canonical_sha256":"bcf3cd8da1700c111d556baf495dff13e71867d7e88cf60cc61344b2f455e7c8","source":{"kind":"arxiv","id":"2410.06120","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.06120","created_at":"2026-07-05T09:17:56Z"},{"alias_kind":"arxiv_version","alias_value":"2410.06120v1","created_at":"2026-07-05T09:17:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.06120","created_at":"2026-07-05T09:17:56Z"},{"alias_kind":"pith_short_12","alias_value":"XTZ43DNBOAGB","created_at":"2026-07-05T09:17:56Z"},{"alias_kind":"pith_short_16","alias_value":"XTZ43DNBOAGBCHKV","created_at":"2026-07-05T09:17:56Z"},{"alias_kind":"pith_short_8","alias_value":"XTZ43DNB","created_at":"2026-07-05T09:17:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:XTZ43DNBOAGBCHKVNOXUSXP7CP","target":"record","payload":{"canonical_record":{"source":{"id":"2410.06120","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-08T15:22:15Z","cross_cats_sorted":["physics.data-an"],"title_canon_sha256":"14dc9f1b02e57752b239262ce3ba354f15dd6b3728441acec3f26057b54f0f17","abstract_canon_sha256":"525c34799a7e7b50fe563fc0898b0c42162c0b2e40876e542cd62b47344e5a9b"},"schema_version":"1.0"},"canonical_sha256":"bcf3cd8da1700c111d556baf495dff13e71867d7e88cf60cc61344b2f455e7c8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:17:56.155377Z","signature_b64":"RCf9iRsy+0fGY+aNqvHDfPH8H7Xn3X39lPLZvFVU/ydEeCWAu5iV2cyuJMyqw0jCmM64rOtF/uOYlrGyuULQCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bcf3cd8da1700c111d556baf495dff13e71867d7e88cf60cc61344b2f455e7c8","last_reissued_at":"2026-07-05T09:17:56.154917Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:17:56.154917Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.06120","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":"2026-07-05T09:17:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V8JW0G5AM2D0AWRLITNsnxzO4uFSeBH6wfiWpe4pDKG8z23U1av7X2ZxHiDOR84WxHvkdreYNtO9mR4iDe3GAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T15:18:21.668953Z"},"content_sha256":"f601f76d00c6a804768edcb4ba3a64d1816d7897e36b3d03645086da00c67740","schema_version":"1.0","event_id":"sha256:f601f76d00c6a804768edcb4ba3a64d1816d7897e36b3d03645086da00c67740"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:XTZ43DNBOAGBCHKVNOXUSXP7CP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Uncertainty estimation via ensembles of deep learning models and dropout layers for seismic traces","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.data-an"],"primary_cat":"cs.LG","authors_text":"Ferdinando Napolitano, Giovanni Messuti, Mariarosaria Falanga, ortensia Amoroso, Paolo Capuano, Silvia Scarpetta","submitted_at":"2024-10-08T15:22:15Z","abstract_excerpt":"Deep learning models have demonstrated remarkable success in various fields, including seismology. However, one major challenge in deep learning is the presence of mislabeled examples. Additionally, accurately estimating model uncertainty is another challenge in machine learning. In this study, we develop Convolutional Neural Networks (CNNs) to classify seismic waveforms based on first-motion polarity. We trained multiple CNN models with different settings. We also constructed ensembles of networks to estimate uncertainty. The results showed that each training setting achieved satisfactory per"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.06120","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/2410.06120/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":"2026-07-05T09:17:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q7lLJtKmd6cOdOUXEWH6FY1D7mdO4zbLtNwDz7DrYBDRCIS2vVHflJUg2YhMfd7hIpBjEA9uaICiPVR1LpEWAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T15:18:21.669565Z"},"content_sha256":"a55ac4c6a9e3e9e5c77ca86bd6163a82d482d4215de2b598cca900acb18b507d","schema_version":"1.0","event_id":"sha256:a55ac4c6a9e3e9e5c77ca86bd6163a82d482d4215de2b598cca900acb18b507d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XTZ43DNBOAGBCHKVNOXUSXP7CP/bundle.json","state_url":"https://pith.science/pith/XTZ43DNBOAGBCHKVNOXUSXP7CP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XTZ43DNBOAGBCHKVNOXUSXP7CP/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":"2026-08-12T15:18:21Z","links":{"resolver":"https://pith.science/pith/XTZ43DNBOAGBCHKVNOXUSXP7CP","bundle":"https://pith.science/pith/XTZ43DNBOAGBCHKVNOXUSXP7CP/bundle.json","state":"https://pith.science/pith/XTZ43DNBOAGBCHKVNOXUSXP7CP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XTZ43DNBOAGBCHKVNOXUSXP7CP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XTZ43DNBOAGBCHKVNOXUSXP7CP","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":"525c34799a7e7b50fe563fc0898b0c42162c0b2e40876e542cd62b47344e5a9b","cross_cats_sorted":["physics.data-an"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-08T15:22:15Z","title_canon_sha256":"14dc9f1b02e57752b239262ce3ba354f15dd6b3728441acec3f26057b54f0f17"},"schema_version":"1.0","source":{"id":"2410.06120","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.06120","created_at":"2026-07-05T09:17:56Z"},{"alias_kind":"arxiv_version","alias_value":"2410.06120v1","created_at":"2026-07-05T09:17:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.06120","created_at":"2026-07-05T09:17:56Z"},{"alias_kind":"pith_short_12","alias_value":"XTZ43DNBOAGB","created_at":"2026-07-05T09:17:56Z"},{"alias_kind":"pith_short_16","alias_value":"XTZ43DNBOAGBCHKV","created_at":"2026-07-05T09:17:56Z"},{"alias_kind":"pith_short_8","alias_value":"XTZ43DNB","created_at":"2026-07-05T09:17:56Z"}],"graph_snapshots":[{"event_id":"sha256:a55ac4c6a9e3e9e5c77ca86bd6163a82d482d4215de2b598cca900acb18b507d","target":"graph","created_at":"2026-07-05T09:17:56Z","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/2410.06120/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning models have demonstrated remarkable success in various fields, including seismology. However, one major challenge in deep learning is the presence of mislabeled examples. Additionally, accurately estimating model uncertainty is another challenge in machine learning. In this study, we develop Convolutional Neural Networks (CNNs) to classify seismic waveforms based on first-motion polarity. We trained multiple CNN models with different settings. We also constructed ensembles of networks to estimate uncertainty. The results showed that each training setting achieved satisfactory per","authors_text":"Ferdinando Napolitano, Giovanni Messuti, Mariarosaria Falanga, ortensia Amoroso, Paolo Capuano, Silvia Scarpetta","cross_cats":["physics.data-an"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-08T15:22:15Z","title":"Uncertainty estimation via ensembles of deep learning models and dropout layers for seismic traces"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.06120","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:f601f76d00c6a804768edcb4ba3a64d1816d7897e36b3d03645086da00c67740","target":"record","created_at":"2026-07-05T09:17:56Z","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":"525c34799a7e7b50fe563fc0898b0c42162c0b2e40876e542cd62b47344e5a9b","cross_cats_sorted":["physics.data-an"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-08T15:22:15Z","title_canon_sha256":"14dc9f1b02e57752b239262ce3ba354f15dd6b3728441acec3f26057b54f0f17"},"schema_version":"1.0","source":{"id":"2410.06120","kind":"arxiv","version":1}},"canonical_sha256":"bcf3cd8da1700c111d556baf495dff13e71867d7e88cf60cc61344b2f455e7c8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bcf3cd8da1700c111d556baf495dff13e71867d7e88cf60cc61344b2f455e7c8","first_computed_at":"2026-07-05T09:17:56.154917Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:17:56.154917Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RCf9iRsy+0fGY+aNqvHDfPH8H7Xn3X39lPLZvFVU/ydEeCWAu5iV2cyuJMyqw0jCmM64rOtF/uOYlrGyuULQCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:17:56.155377Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.06120","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f601f76d00c6a804768edcb4ba3a64d1816d7897e36b3d03645086da00c67740","sha256:a55ac4c6a9e3e9e5c77ca86bd6163a82d482d4215de2b598cca900acb18b507d"],"state_sha256":"759df5c17f1778abe44c02153a63b40b0c4faef0b81f3944dfb491c04a0be3ce"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Wb/nVrgIw5KPK5hyxLcX/+4GnbN8njO4G0DQLvVTU0GBYFUP/7EI88hVOQPDm9j6e42plP9MeCHga6/WxaD1DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T15:18:21.673740Z","bundle_sha256":"6e87c9e793d74ad2bf169ff0803b61caa3811bdd61fee0b960a290ac2e1853a7"}}