{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2008:2KAUMH6UOJLQOXDE4DX366AUSW","short_pith_number":"pith:2KAUMH6U","schema_version":"1.0","canonical_sha256":"d281461fd47257075c64e0efbf781495baf1f8ed893eaebf4ad40b2eefe16182","source":{"kind":"arxiv","id":"0812.2713","version":1},"attestation_state":"computed","paper":{"title":"Applying Bayesian Neural Network to Determine Neutrino Incoming Direction in Reactor Neutrino Experiments and Supernova Explosion Location by Scintillator Detectors","license":"http://creativecommons.org/licenses/by/3.0/","headline":"","cross_cats":["physics.ins-det"],"primary_cat":"physics.data-an","authors_text":"Bin Wu, Weiwei Xu, Ye Xu, Yixiong Meng","submitted_at":"2008-12-15T02:30:09Z","abstract_excerpt":"In the paper, it is discussed by using Monte-Carlo simulation that the Bayesian Neural Network(BNN) is applied to determine neutrino incoming direction in reactor neutrino experiments and supernova explosion location by scintillator detectors. As a result, compared to the method in Ref.\\cite{key-1}, the uncertainty on the measurement of the neutrino direction using BNN is significantly improved. The uncertainty on the measurement of the reactor neutrino direction is about 1.0$^\\circ$ at the 68.3% C.L., and the one in the case of supernova neutrino is about 0.6$^\\circ$ at the 68.3% C.L.. Compar"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"0812.2713","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"physics.data-an","submitted_at":"2008-12-15T02:30:09Z","cross_cats_sorted":["physics.ins-det"],"title_canon_sha256":"674e4521922d6f360407c889a15cff68b4caa4d0bc54efb9a216e55b75e7b1e5","abstract_canon_sha256":"c91089615ffa4c51bca49d16a73928000584f3d8e7d2f57140c13d4db8734a63"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T15:36:53.031838Z","signature_b64":"EZKSsdFuDemMfbvbdAizy+GoLSJYVF4nvleH1Re8KKbEv6bZU3FwTxQdo2wr5/T3pjGzyNT6Xf/osljc7R64Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d281461fd47257075c64e0efbf781495baf1f8ed893eaebf4ad40b2eefe16182","last_reissued_at":"2026-07-04T15:36:53.031493Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T15:36:53.031493Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Applying Bayesian Neural Network to Determine Neutrino Incoming Direction in Reactor Neutrino Experiments and Supernova Explosion Location by Scintillator Detectors","license":"http://creativecommons.org/licenses/by/3.0/","headline":"","cross_cats":["physics.ins-det"],"primary_cat":"physics.data-an","authors_text":"Bin Wu, Weiwei Xu, Ye Xu, Yixiong Meng","submitted_at":"2008-12-15T02:30:09Z","abstract_excerpt":"In the paper, it is discussed by using Monte-Carlo simulation that the Bayesian Neural Network(BNN) is applied to determine neutrino incoming direction in reactor neutrino experiments and supernova explosion location by scintillator detectors. As a result, compared to the method in Ref.\\cite{key-1}, the uncertainty on the measurement of the neutrino direction using BNN is significantly improved. The uncertainty on the measurement of the reactor neutrino direction is about 1.0$^\\circ$ at the 68.3% C.L., and the one in the case of supernova neutrino is about 0.6$^\\circ$ at the 68.3% C.L.. Compar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0812.2713","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/0812.2713/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"0812.2713","created_at":"2026-07-04T15:36:53.031543+00:00"},{"alias_kind":"arxiv_version","alias_value":"0812.2713v1","created_at":"2026-07-04T15:36:53.031543+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0812.2713","created_at":"2026-07-04T15:36:53.031543+00:00"},{"alias_kind":"pith_short_12","alias_value":"2KAUMH6UOJLQ","created_at":"2026-07-04T15:36:53.031543+00:00"},{"alias_kind":"pith_short_16","alias_value":"2KAUMH6UOJLQOXDE","created_at":"2026-07-04T15:36:53.031543+00:00"},{"alias_kind":"pith_short_8","alias_value":"2KAUMH6U","created_at":"2026-07-04T15:36:53.031543+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/2KAUMH6UOJLQOXDE4DX366AUSW","json":"https://pith.science/pith/2KAUMH6UOJLQOXDE4DX366AUSW.json","graph_json":"https://pith.science/api/pith-number/2KAUMH6UOJLQOXDE4DX366AUSW/graph.json","events_json":"https://pith.science/api/pith-number/2KAUMH6UOJLQOXDE4DX366AUSW/events.json","paper":"https://pith.science/paper/2KAUMH6U"},"agent_actions":{"view_html":"https://pith.science/pith/2KAUMH6UOJLQOXDE4DX366AUSW","download_json":"https://pith.science/pith/2KAUMH6UOJLQOXDE4DX366AUSW.json","view_paper":"https://pith.science/paper/2KAUMH6U","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=0812.2713&json=true","fetch_graph":"https://pith.science/api/pith-number/2KAUMH6UOJLQOXDE4DX366AUSW/graph.json","fetch_events":"https://pith.science/api/pith-number/2KAUMH6UOJLQOXDE4DX366AUSW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2KAUMH6UOJLQOXDE4DX366AUSW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2KAUMH6UOJLQOXDE4DX366AUSW/action/storage_attestation","attest_author":"https://pith.science/pith/2KAUMH6UOJLQOXDE4DX366AUSW/action/author_attestation","sign_citation":"https://pith.science/pith/2KAUMH6UOJLQOXDE4DX366AUSW/action/citation_signature","submit_replication":"https://pith.science/pith/2KAUMH6UOJLQOXDE4DX366AUSW/action/replication_record"}},"created_at":"2026-07-04T15:36:53.031543+00:00","updated_at":"2026-07-04T15:36:53.031543+00:00"}