{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:TKWWF57J5W2IYQQFDTEV3EKKFB","short_pith_number":"pith:TKWWF57J","canonical_record":{"source":{"id":"1902.00743","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-02T16:13:37Z","cross_cats_sorted":["eess.SP","physics.data-an","stat.ML"],"title_canon_sha256":"2e50f1b7541d9b7ed465c9a4238ffc3b120113a616bd78cd1d41afe08e383688","abstract_canon_sha256":"0b69d6fee02235a5821bb44325292dc7ff2094702bd2c16b8647713a9cd82a11"},"schema_version":"1.0"},"canonical_sha256":"9aad62f7e9edb48c42051cc95d914a2861bbe5c784bb31e6b2113e8a733fbb39","source":{"kind":"arxiv","id":"1902.00743","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.00743","created_at":"2026-05-17T23:54:52Z"},{"alias_kind":"arxiv_version","alias_value":"1902.00743v1","created_at":"2026-05-17T23:54:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.00743","created_at":"2026-05-17T23:54:52Z"},{"alias_kind":"pith_short_12","alias_value":"TKWWF57J5W2I","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"TKWWF57J5W2IYQQF","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"TKWWF57J","created_at":"2026-05-18T12:33:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:TKWWF57J5W2IYQQFDTEV3EKKFB","target":"record","payload":{"canonical_record":{"source":{"id":"1902.00743","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-02T16:13:37Z","cross_cats_sorted":["eess.SP","physics.data-an","stat.ML"],"title_canon_sha256":"2e50f1b7541d9b7ed465c9a4238ffc3b120113a616bd78cd1d41afe08e383688","abstract_canon_sha256":"0b69d6fee02235a5821bb44325292dc7ff2094702bd2c16b8647713a9cd82a11"},"schema_version":"1.0"},"canonical_sha256":"9aad62f7e9edb48c42051cc95d914a2861bbe5c784bb31e6b2113e8a733fbb39","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:54:52.290046Z","signature_b64":"eAGpyzik8N2AJOq2QCuxa/BgXw6rtE1IEkTUAe4aB/PMcIes40lMVWbbzLUKgVmG/hP5zDGkD5GpNITKpFEZDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9aad62f7e9edb48c42051cc95d914a2861bbe5c784bb31e6b2113e8a733fbb39","last_reissued_at":"2026-05-17T23:54:52.289671Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:54:52.289671Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1902.00743","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":"2026-05-17T23:54:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YbPdkbWf7qe+PAcwrddOaX0CFFlKNCgusUnRioSpONul6HF3yV4N3EypbAIWK75fSzPzNTozR1bdgR9TFhuzAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T04:23:57.792309Z"},"content_sha256":"18e0416f3f67aeafc13a7d5e4f7bc69735c5f029803be3505be95ecf57d37992","schema_version":"1.0","event_id":"sha256:18e0416f3f67aeafc13a7d5e4f7bc69735c5f029803be3505be95ecf57d37992"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:TKWWF57J5W2IYQQFDTEV3EKKFB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.SP","physics.data-an","stat.ML"],"primary_cat":"cs.LG","authors_text":"Catherine D. Schuman, Fan Chen, Gabriel Perdue, Linghao Song, Steven R. Young, Thomas E. Potok","submitted_at":"2019-02-02T16:13:37Z","abstract_excerpt":"We present a deep learning approach for vertex reconstruction of neutrino-nucleus interaction events, a problem in the domain of high energy physics. In this approach, we combine both energy and timing data that are collected in the MINERvA detector to perform classification and regression tasks. We show that the resulting network achieves higher accuracy than previous results while requiring a smaller model size and less training time. In particular, the proposed model outperforms the state-of-the-art by 4.00% on classification accuracy. For the regression task, our model achieves 0.9919 on t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.00743","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":""},"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":"2026-05-17T23:54:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wjC02hI2DnHQ34vo4ctrK3yYGbllvAL5gG5Wx900tgqRQduAvK8CFcLVP4gpzCEIKSOMFfjub1BqTGPev+b1Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T04:23:57.792968Z"},"content_sha256":"af7b2d085ba5e6be81edb0ba8c9e541684472462a6f99e22b388fb680804edfb","schema_version":"1.0","event_id":"sha256:af7b2d085ba5e6be81edb0ba8c9e541684472462a6f99e22b388fb680804edfb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TKWWF57J5W2IYQQFDTEV3EKKFB/bundle.json","state_url":"https://pith.science/pith/TKWWF57J5W2IYQQFDTEV3EKKFB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TKWWF57J5W2IYQQFDTEV3EKKFB/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":"2026-05-25T04:23:57Z","links":{"resolver":"https://pith.science/pith/TKWWF57J5W2IYQQFDTEV3EKKFB","bundle":"https://pith.science/pith/TKWWF57J5W2IYQQFDTEV3EKKFB/bundle.json","state":"https://pith.science/pith/TKWWF57J5W2IYQQFDTEV3EKKFB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TKWWF57J5W2IYQQFDTEV3EKKFB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:TKWWF57J5W2IYQQFDTEV3EKKFB","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":"0b69d6fee02235a5821bb44325292dc7ff2094702bd2c16b8647713a9cd82a11","cross_cats_sorted":["eess.SP","physics.data-an","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-02T16:13:37Z","title_canon_sha256":"2e50f1b7541d9b7ed465c9a4238ffc3b120113a616bd78cd1d41afe08e383688"},"schema_version":"1.0","source":{"id":"1902.00743","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.00743","created_at":"2026-05-17T23:54:52Z"},{"alias_kind":"arxiv_version","alias_value":"1902.00743v1","created_at":"2026-05-17T23:54:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.00743","created_at":"2026-05-17T23:54:52Z"},{"alias_kind":"pith_short_12","alias_value":"TKWWF57J5W2I","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"TKWWF57J5W2IYQQF","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"TKWWF57J","created_at":"2026-05-18T12:33:30Z"}],"graph_snapshots":[{"event_id":"sha256:af7b2d085ba5e6be81edb0ba8c9e541684472462a6f99e22b388fb680804edfb","target":"graph","created_at":"2026-05-17T23:54:52Z","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"},"paper":{"abstract_excerpt":"We present a deep learning approach for vertex reconstruction of neutrino-nucleus interaction events, a problem in the domain of high energy physics. In this approach, we combine both energy and timing data that are collected in the MINERvA detector to perform classification and regression tasks. We show that the resulting network achieves higher accuracy than previous results while requiring a smaller model size and less training time. In particular, the proposed model outperforms the state-of-the-art by 4.00% on classification accuracy. For the regression task, our model achieves 0.9919 on t","authors_text":"Catherine D. Schuman, Fan Chen, Gabriel Perdue, Linghao Song, Steven R. Young, Thomas E. Potok","cross_cats":["eess.SP","physics.data-an","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-02T16:13:37Z","title":"Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.00743","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":"sha256:18e0416f3f67aeafc13a7d5e4f7bc69735c5f029803be3505be95ecf57d37992","target":"record","created_at":"2026-05-17T23:54:52Z","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":"0b69d6fee02235a5821bb44325292dc7ff2094702bd2c16b8647713a9cd82a11","cross_cats_sorted":["eess.SP","physics.data-an","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-02T16:13:37Z","title_canon_sha256":"2e50f1b7541d9b7ed465c9a4238ffc3b120113a616bd78cd1d41afe08e383688"},"schema_version":"1.0","source":{"id":"1902.00743","kind":"arxiv","version":1}},"canonical_sha256":"9aad62f7e9edb48c42051cc95d914a2861bbe5c784bb31e6b2113e8a733fbb39","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9aad62f7e9edb48c42051cc95d914a2861bbe5c784bb31e6b2113e8a733fbb39","first_computed_at":"2026-05-17T23:54:52.289671Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:54:52.289671Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eAGpyzik8N2AJOq2QCuxa/BgXw6rtE1IEkTUAe4aB/PMcIes40lMVWbbzLUKgVmG/hP5zDGkD5GpNITKpFEZDA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:54:52.290046Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.00743","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:18e0416f3f67aeafc13a7d5e4f7bc69735c5f029803be3505be95ecf57d37992","sha256:af7b2d085ba5e6be81edb0ba8c9e541684472462a6f99e22b388fb680804edfb"],"state_sha256":"35e599578147c1297c2ce0d6a17086814321a49cf7c92cde736a3a1b032c9e20"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dOtJvpxxLnxa9xybjYlM7GAiB4mp1Hx9vY/mvFrv+Nreip85lcJg1JiLkWNi21KwpmS489cfVuaPy7+mBLgSAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T04:23:57.795504Z","bundle_sha256":"4176b6efefbff4ef3a4f243eee3fad92d8613b93417a50cc055ef2d37b598ad6"}}