{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:P7WXBKLNQMDS5AWCWUP37UVH4Z","short_pith_number":"pith:P7WXBKLN","canonical_record":{"source":{"id":"2503.06727","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2025-03-09T18:57:15Z","cross_cats_sorted":["hep-ex","nucl-ex","physics.ins-det"],"title_canon_sha256":"d4fd758121f4189dff8a00307c8cf172c252595c9c7cf53e01952b76c0a68889","abstract_canon_sha256":"edd08bafa12ba5c51c4c30a5f4286a9d55eab4a41ed29dbe13b009b394a63ff6"},"schema_version":"1.0"},"canonical_sha256":"7fed70a96d83072e82c2b51fbfd2a7e668e2fe20e155a90963c7cedc8d8a8668","source":{"kind":"arxiv","id":"2503.06727","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.06727","created_at":"2026-07-05T11:29:56Z"},{"alias_kind":"arxiv_version","alias_value":"2503.06727v3","created_at":"2026-07-05T11:29:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.06727","created_at":"2026-07-05T11:29:56Z"},{"alias_kind":"pith_short_12","alias_value":"P7WXBKLNQMDS","created_at":"2026-07-05T11:29:56Z"},{"alias_kind":"pith_short_16","alias_value":"P7WXBKLNQMDS5AWC","created_at":"2026-07-05T11:29:56Z"},{"alias_kind":"pith_short_8","alias_value":"P7WXBKLN","created_at":"2026-07-05T11:29:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:P7WXBKLNQMDS5AWCWUP37UVH4Z","target":"record","payload":{"canonical_record":{"source":{"id":"2503.06727","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2025-03-09T18:57:15Z","cross_cats_sorted":["hep-ex","nucl-ex","physics.ins-det"],"title_canon_sha256":"d4fd758121f4189dff8a00307c8cf172c252595c9c7cf53e01952b76c0a68889","abstract_canon_sha256":"edd08bafa12ba5c51c4c30a5f4286a9d55eab4a41ed29dbe13b009b394a63ff6"},"schema_version":"1.0"},"canonical_sha256":"7fed70a96d83072e82c2b51fbfd2a7e668e2fe20e155a90963c7cedc8d8a8668","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:29:56.341016Z","signature_b64":"XMaiXtwAbLw9C1hX7EdedU9xJiq+csGPIdAya6VLqrpdxWAVzAjhN25UPYlKWe7BxE0zsSePv46h8OUju4jUDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7fed70a96d83072e82c2b51fbfd2a7e668e2fe20e155a90963c7cedc8d8a8668","last_reissued_at":"2026-07-05T11:29:56.340358Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:29:56.340358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.06727","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:29:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2EKkHQDYUeg5yvoG2AWG4mnRgQsX/4T6ka/taWhDrCX6bYnFK/KdkOOWFQ5xgK70x9Dl9nEz5szu/3l3Hb4/AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T02:47:23.498478Z"},"content_sha256":"bbf7f6585b9533dcbd9ba11ce89819024d8b82764afd1531eca4a3938b7be883","schema_version":"1.0","event_id":"sha256:bbf7f6585b9533dcbd9ba11ce89819024d8b82764afd1531eca4a3938b7be883"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:P7WXBKLNQMDS5AWCWUP37UVH4Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Machine Learning for Single-Ended Event Reconstruction in PROSPECT Experiment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex","nucl-ex","physics.ins-det"],"primary_cat":"physics.data-an","authors_text":"A. B. Balantekin, A. B. Hansell, A. Delgado, A. Erickson, A. Galindo-Uribarri, A. J. Conant, A. Lozano Sanchez, A. M. Meyer, B. Heffron, B. R. Littlejohn, C. D. Bass, C. D. Bryan, C. E. Lane, C. Grant, C. Roca, C. Zhang, D. E. Jaffe, D. Venegas-Vargas, E. P. Bernard, F. Machado, G. Deichert, H. P. Mumm, J. Koblanski, J. Maricic, J. Wilhelmi, K. M. Heeger, M. Andriamirado, M. Fuller, M. J. Dolinski, M. P. Mendenhall, M. Yeh, N. S. Bowden, O. Benevides Rodrigues, P. E. Mueller, P. Kunkle, R. Carr, R. Milincic, R. Neilson, R. Rosero, S. Gokhale, S. Hans, S. Jayakumar, T. Classen, T. E. Haugen, X. Lu, X. Zhang","submitted_at":"2025-03-09T18:57:15Z","abstract_excerpt":"The Precision Reactor Oscillation and Spectrum Experiment, PROSPECT, was a segmented antineutrino detector that successfully operated at the High Flux Isotope Reactor in Oak Ridge, TN, during its 2018 run. Despite challenges with photomultiplier tube base failures affecting some segments, innovative machine learning approaches were employed to perform position and energy reconstruction, and particle classification. This work highlights the effectiveness of convolutional neural networks and graph convolutional networks in enhancing data analysis. By leveraging these techniques, a 3.3\\% increase"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.06727","kind":"arxiv","version":3},"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/2503.06727/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":"2026-07-05T11:29:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pDA731IjBKyYsOV3GKLuVkTOraa+zWSZdAfjxzPLLTfPvPOGjzRKI0+7N6If7W9RMc3V5Kc8P5NX0jpMsxy5AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T02:47:23.498859Z"},"content_sha256":"d5754ee2b1031ed2fcb9b07c75a9b1b92080124a3335249d7fb63324a236a15b","schema_version":"1.0","event_id":"sha256:d5754ee2b1031ed2fcb9b07c75a9b1b92080124a3335249d7fb63324a236a15b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P7WXBKLNQMDS5AWCWUP37UVH4Z/bundle.json","state_url":"https://pith.science/pith/P7WXBKLNQMDS5AWCWUP37UVH4Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P7WXBKLNQMDS5AWCWUP37UVH4Z/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":"2026-07-07T02:47:23Z","links":{"resolver":"https://pith.science/pith/P7WXBKLNQMDS5AWCWUP37UVH4Z","bundle":"https://pith.science/pith/P7WXBKLNQMDS5AWCWUP37UVH4Z/bundle.json","state":"https://pith.science/pith/P7WXBKLNQMDS5AWCWUP37UVH4Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P7WXBKLNQMDS5AWCWUP37UVH4Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:P7WXBKLNQMDS5AWCWUP37UVH4Z","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":"edd08bafa12ba5c51c4c30a5f4286a9d55eab4a41ed29dbe13b009b394a63ff6","cross_cats_sorted":["hep-ex","nucl-ex","physics.ins-det"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2025-03-09T18:57:15Z","title_canon_sha256":"d4fd758121f4189dff8a00307c8cf172c252595c9c7cf53e01952b76c0a68889"},"schema_version":"1.0","source":{"id":"2503.06727","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.06727","created_at":"2026-07-05T11:29:56Z"},{"alias_kind":"arxiv_version","alias_value":"2503.06727v3","created_at":"2026-07-05T11:29:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.06727","created_at":"2026-07-05T11:29:56Z"},{"alias_kind":"pith_short_12","alias_value":"P7WXBKLNQMDS","created_at":"2026-07-05T11:29:56Z"},{"alias_kind":"pith_short_16","alias_value":"P7WXBKLNQMDS5AWC","created_at":"2026-07-05T11:29:56Z"},{"alias_kind":"pith_short_8","alias_value":"P7WXBKLN","created_at":"2026-07-05T11:29:56Z"}],"graph_snapshots":[{"event_id":"sha256:d5754ee2b1031ed2fcb9b07c75a9b1b92080124a3335249d7fb63324a236a15b","target":"graph","created_at":"2026-07-05T11:29:56Z","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/2503.06727/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Precision Reactor Oscillation and Spectrum Experiment, PROSPECT, was a segmented antineutrino detector that successfully operated at the High Flux Isotope Reactor in Oak Ridge, TN, during its 2018 run. Despite challenges with photomultiplier tube base failures affecting some segments, innovative machine learning approaches were employed to perform position and energy reconstruction, and particle classification. This work highlights the effectiveness of convolutional neural networks and graph convolutional networks in enhancing data analysis. By leveraging these techniques, a 3.3\\% increase","authors_text":"A. B. Balantekin, A. B. Hansell, A. Delgado, A. Erickson, A. Galindo-Uribarri, A. J. Conant, A. Lozano Sanchez, A. M. Meyer, B. Heffron, B. R. Littlejohn, C. D. Bass, C. D. Bryan, C. E. Lane, C. Grant, C. Roca, C. Zhang, D. E. Jaffe, D. Venegas-Vargas, E. P. Bernard, F. Machado, G. Deichert, H. P. Mumm, J. Koblanski, J. Maricic, J. Wilhelmi, K. M. Heeger, M. Andriamirado, M. Fuller, M. J. Dolinski, M. P. Mendenhall, M. Yeh, N. S. Bowden, O. Benevides Rodrigues, P. E. Mueller, P. Kunkle, R. Carr, R. Milincic, R. Neilson, R. Rosero, S. Gokhale, S. Hans, S. Jayakumar, T. Classen, T. E. Haugen, X. Lu, X. Zhang","cross_cats":["hep-ex","nucl-ex","physics.ins-det"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2025-03-09T18:57:15Z","title":"Machine Learning for Single-Ended Event Reconstruction in PROSPECT Experiment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.06727","kind":"arxiv","version":3},"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:bbf7f6585b9533dcbd9ba11ce89819024d8b82764afd1531eca4a3938b7be883","target":"record","created_at":"2026-07-05T11:29:56Z","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":"edd08bafa12ba5c51c4c30a5f4286a9d55eab4a41ed29dbe13b009b394a63ff6","cross_cats_sorted":["hep-ex","nucl-ex","physics.ins-det"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2025-03-09T18:57:15Z","title_canon_sha256":"d4fd758121f4189dff8a00307c8cf172c252595c9c7cf53e01952b76c0a68889"},"schema_version":"1.0","source":{"id":"2503.06727","kind":"arxiv","version":3}},"canonical_sha256":"7fed70a96d83072e82c2b51fbfd2a7e668e2fe20e155a90963c7cedc8d8a8668","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7fed70a96d83072e82c2b51fbfd2a7e668e2fe20e155a90963c7cedc8d8a8668","first_computed_at":"2026-07-05T11:29:56.340358Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:29:56.340358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XMaiXtwAbLw9C1hX7EdedU9xJiq+csGPIdAya6VLqrpdxWAVzAjhN25UPYlKWe7BxE0zsSePv46h8OUju4jUDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:29:56.341016Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.06727","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bbf7f6585b9533dcbd9ba11ce89819024d8b82764afd1531eca4a3938b7be883","sha256:d5754ee2b1031ed2fcb9b07c75a9b1b92080124a3335249d7fb63324a236a15b"],"state_sha256":"228407ef3123ce50c2b11109460058bc58a115ce84ab487d0f4d73378e75305a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pPS0REK6APYgAy1YgDmAHQ1vUMaZj0wKTrObu+lDw4EVRGusCS8E6HCN/9GSlubZCWtFPvONYBik0Dj96qdhDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T02:47:23.500885Z","bundle_sha256":"45c1415a9a7d9b3b586129a47b79308d3a9429e96de2ed5d704f06460b4d3d30"}}