{"as_of":"2026-08-04T19:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:796a7197541f4592460a0cbddc7e921d8e43b406f8dea077c5bf86b877370455","coverage":[{"denominator":47,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":47,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T19:16:01.159777Z","state":"measured"},{"denominator":47,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":47,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2605.18861/citation-record","integrity":"/paper/2605.18861/integrity","json":"/paper/2605.18861/citation-record.json","paper":"/paper/2605.18861"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T00:54:21.590139Z","title":null,"venue":null,"work_id":"d9354008-2577-4fa1-8e1e-b7ca9f504d1b","year":null},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:8c8d2506035c9ea253350ad9447fd59e5a9c7ff27602706c65aabd883a204ef7","observation_id":"62bf68ee-c3d7-4f67-a8cf-01cdf57d73cf","resolution":{"observed_at":"2026-07-08T00:54:21.591265Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T00:54:21.563039Z","title":"It identifies channels where activity in one plane coin- cides with activity in at least one other plane within a common time window on an overlapping wire","venue":null,"work_id":"ef05e88e-66bb-41b8-be1e-cb3499893af4","year":null},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:9550cbe6ae4b2753b94f1e0fe21b26d9b42d09ea6a183ccbdaee1740b5ed114b","observation_id":"25280fc5-0bcb-4bea-bb88-45ba0ade951c","resolution":{"observed_at":"2026-07-08T00:54:21.564505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T00:54:21.588323Z","title":"Om- niDetector","venue":null,"work_id":"711f55e0-e410-4035-8a90-c255ef31c519","year":2000},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:c26f827ed733ec4418e94d251cb91cf524bb64c36336c83e02741ebb5670ba63","observation_id":"8ef2ca63-8f6e-414a-891e-a5e2bf66edb8","resolution":{"observed_at":"2026-07-08T00:54:21.589584Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1503.01520","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T12:34:54.717679Z","title":"Antonello et al","venue":null,"work_id":"cd5090f1-5524-4463-9368-89f0dcfb0d6d","year":2026},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:216d9984b6d41ba15243e46a8be5baf31e2906e7c134fe1c426057855644706f","observation_id":"489d13b2-1a26-460b-81e3-2a1ada2baaa8","resolution":{"observed_at":"2026-07-01T14:55:48.007543Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.04608","last_updated":"2019-03-11T21:16:48Z","snapshot_observed_at":"2026-07-06T07:38:33.968966Z","submitted_at":"2019-03-11T21:16:48Z","title":"The Short-Baseline Neutrino Program at Fermilab","version":1},"cited_work":{"arxiv_id":"1903.04608","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1903.04608","snapshot_observed_at":"2026-07-04T02:59:26.566584Z","title":null,"venue":null,"work_id":"b84c30c1-7657-4473-9f6e-d70865d3e186","year":2019},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/1903.04608","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:2d586a27e7bbeac2f7e4e899edb5a0a99131222aeaf76c7a2b9744accae0a4b3","observation_id":"ffc56988-1dca-46ba-b92b-8a9106f91e76","resolution":{"observed_at":"2026-07-01T14:55:48.014519Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.08634","last_updated":"2023-01-20T15:33:02Z","snapshot_observed_at":"2026-07-06T14:43:12.520128Z","submitted_at":"2023-01-20T15:33:02Z","title":"ICARUS at the Fermilab Short-Baseline Neutrino Program -- Initial Operation","version":1},"cited_work":{"arxiv_id":"2301.08634","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2301.08634","snapshot_observed_at":"2026-07-01T14:55:48.000995Z","title":"Abratenkoet al.(ICARUS), ICARUS at the Fermilab Short-Baseline Neutrino program: initial operation, Eur","venue":null,"work_id":"281efc65-fbc6-48ad-b52f-2156160c81e2","year":2023},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/2301.08634","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:069e5f9fa3232fda1671b5db37a79bdf3a3eaed089c46a694c5e06539c5b8088","observation_id":"7d2aac6c-23fc-4987-b382-ab9b8f587252","resolution":{"observed_at":"2026-07-01T14:55:48.002595Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1612.05824","last_updated":"2017-01-17T18:22:55Z","snapshot_observed_at":"2026-07-06T05:23:10.795345Z","submitted_at":"2016-12-17T21:02:35Z","title":"Design and Construction of the MicroBooNE Detector","version":2},"cited_work":{"arxiv_id":"1612.05824","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1612.05824","snapshot_observed_at":"2026-07-04T22:50:10.739322Z","title":"Acciarri et al","venue":null,"work_id":"d521f45c-1cef-43db-bf09-307e4694e89b","year":2024},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/1612.05824","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:6a099a3522b17bff10886e8658526305146e44b9fa14f0ba4aef7d1a01aabf19","observation_id":"24285a5e-e6f4-4f76-8574-36ddce23e59d","resolution":{"observed_at":"2026-07-01T14:55:48.017215Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"0806.1449","last_updated":"2009-05-15T23:43:44Z","snapshot_observed_at":"2026-07-06T01:43:37.131093Z","submitted_at":"2008-06-04T20:29:25Z","title":"The Neutrino Flux prediction at MiniBooNE","version":2},"cited_work":{"arxiv_id":"0806.1449","doi":null,"metadata_source":"pith","pith_arxiv_id":"0806.1449","snapshot_observed_at":"2026-07-01T14:55:47.997304Z","title":"The Neutrino Flux prediction at MiniBooNE","venue":"hep-ex","work_id":"fd3af1fa-c16c-4e6f-8bbc-8abf4284afa9","year":2008},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/0806.1449","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:d200eb1811041f43810bbb873db8d60e6563fb346ee2205dfc290a2570dac3ba","observation_id":"f89bbf1c-6cd4-468b-9c1f-f7e6096784bf","resolution":{"observed_at":"2026-07-01T14:55:47.998528Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1507.06690","last_updated":"2015-07-29T19:35:42Z","snapshot_observed_at":"2026-07-06T04:24:44.220376Z","submitted_at":"2015-07-23T21:44:03Z","title":"The NuMI Neutrino Beam","version":2},"cited_work":{"arxiv_id":"1507.06690","doi":null,"metadata_source":"pith","pith_arxiv_id":"1507.06690","snapshot_observed_at":"2026-07-01T14:55:48.007160Z","title":"The NuMI Neutrino Beam","venue":"physics.acc-ph","work_id":"a8f6c880-5f75-4903-93d7-60a88db52034","year":2015},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/1507.06690","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:1ed5e0f0512de09e7598862cdbf1fe34e1896d61c0213ed01226f56f69b0863d","observation_id":"f75ba010-170d-4518-aca8-777d20a59169","resolution":{"observed_at":"2026-07-01T14:55:48.008341Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.08709","last_updated":"2018-04-10T01:56:53Z","snapshot_observed_at":"2026-07-06T06:25:07.039294Z","submitted_at":"2018-02-23T19:31:51Z","title":"Ionization Electron Signal Processing in Single Phase LArTPCs I. Algorithm Description and Quantitative Evaluation with MicroBooNE Simulation","version":3},"cited_work":{"arxiv_id":"1802.08709","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1802.08709","snapshot_observed_at":"2026-07-01T14:55:48.009909Z","title":"Adamset al.(MicroBooNE), Ionization electron signal processing in single phase LArTPCs","venue":null,"work_id":"77f65c0b-e3dc-4284-9a33-00b99122c110","year":2018},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/1802.08709","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:36f39f95abe5ac809e4ab76da8137af13d64b6e6e50ca1f9013cd76ff629247e","observation_id":"53ae8825-818a-408a-90a9-3777da28804f","resolution":{"observed_at":"2026-07-01T14:55:48.011546Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.12743","last_updated":"2020-11-03T06:57:28Z","snapshot_observed_at":"2026-07-06T09:41:40.886809Z","submitted_at":"2020-07-24T19:21:26Z","title":"Augmented Signal Processing in Liquid Argon Time Projection Chambers with a Deep Neural Network","version":3},"cited_work":{"arxiv_id":"2007.12743","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2007.12743","snapshot_observed_at":"2026-07-01T14:55:48.004196Z","title":"Yuet al., Augmented signal processing in Liquid Argon Time Projection Chambers with a deep neu- ral network, JINST16(01), P01036, arXiv:2007.12743 [physics.ins-det]","venue":null,"work_id":"8b2142e4-a7aa-4e3c-a541-98026134b4bc","year":2007},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/2007.12743","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:fc29c136404cfbb51a46d257de689e2bf45535b9b5aacdf1b336d1b93f651748","observation_id":"0f61226f-d61d-4e25-a879-7ffc1738b734","resolution":{"observed_at":"2026-07-01T14:55:48.006000Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1505.04597","last_updated":"2015-05-18T11:28:37Z","snapshot_observed_at":"2026-07-06T04:18:08.302578Z","submitted_at":"2015-05-18T11:28:37Z","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","version":1},"cited_work":{"arxiv_id":"1505.04597","doi":"10.1007/978-3-662-06400-9_9","metadata_source":"pith","pith_arxiv_id":"1505.04597","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","venue":"cs.CV","work_id":"5c6b13d6-e704-4bf4-9df7-3a3a4d3b6950","year":2015},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/1505.04597","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:2277b5774acce1d48942d75492344564aaf4fa55839e77ae7ceb811ea150c39f","observation_id":"bc58d414-a078-4fc4-8628-5ca565857471","resolution":{"observed_at":"2026-07-01T14:55:47.981801Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.08355","last_updated":"2025-02-12T12:30:49Z","snapshot_observed_at":"2026-08-04T18:31:52.370170Z","submitted_at":"2025-02-12T12:30:49Z","title":"Loss Landscape Analysis for Reliable Quantized ML Models for Scientific Sensing","version":1},"cited_work":{"arxiv_id":"2502.08355","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.08355","snapshot_observed_at":"2026-07-04T16:59:58.408126Z","title":"Baldi, J","venue":null,"work_id":"a8f6d5fe-3fae-4dc1-a41a-bc5620475e61","year":2025},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/2502.08355","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:18e0946ba0106839eefd666998ad24d48e9355df5c14c034c6dfdf33b2e38148","observation_id":"1fdaa656-02b0-4fce-aba0-16ac7dd59f5d","resolution":{"observed_at":"2026-07-01T14:55:47.897484Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.05310","last_updated":"2020-09-30T18:33:00Z","snapshot_observed_at":"2026-07-31T16:47:32.040923Z","submitted_at":"2020-01-13T19:00:05Z","title":"DisCo Fever: Robust Networks Through Distance Correlation","version":2},"cited_work":{"arxiv_id":"2001.05310","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2001.05310","snapshot_observed_at":"2026-07-01T14:55:47.943958Z","title":"Kasieczka and D","venue":null,"work_id":"07c3da80-86d0-415d-ae00-b99de9134b90","year":2020},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/2001.05310","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:573728cb2f4b3505230672f01a65b1ed0efe66f7bf14b038250862cb2bb7aaf7","observation_id":"43d27e39-dec2-4cfd-8499-4f7dadc992c1","resolution":{"observed_at":"2026-07-01T14:55:47.945412Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.08742","last_updated":"2021-06-03T00:45:02Z","snapshot_observed_at":"2026-07-06T11:10:37.017160Z","submitted_at":"2021-05-18T18:00:37Z","title":"Uncertainty Aware Learning for High Energy Physics","version":2},"cited_work":{"arxiv_id":"2105.08742","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2105.08742","snapshot_observed_at":"2026-07-03T19:58:54.818808Z","title":"Uncertainty-aware machine learning for high energy physics","venue":null,"work_id":"bd85397b-8d1c-4837-8f3e-e58f0a4fab3a","year":2021},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/2105.08742","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:040fab876d3db2865fc3f49604148d8fd16ed3221fff3f669525726a5e0079cd","observation_id":"596713de-648a-4c70-9ff7-06af0a3d7e65","resolution":{"observed_at":"2026-07-01T14:55:47.964821Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.07724","last_updated":"2025-04-17T19:27:42Z","snapshot_observed_at":"2026-07-06T20:34:53.567141Z","submitted_at":"2025-02-11T17:37:14Z","title":"Contrastive Learning for Robust Representations of Neutrino Data","version":2},"cited_work":{"arxiv_id":"2502.07724","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.07724","snapshot_observed_at":"2026-07-01T14:55:47.975235Z","title":"Wilkinson, R","venue":null,"work_id":"6c883cb3-47fc-4023-8df1-924e2f576b2d","year":2025},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/2502.07724","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:b0b91db689c46ffbd6891fd60b1d8e0335a8a8df2d5da44cef04a82fc04f9e59","observation_id":"21da9193-35d5-467a-bf39-5e9f3d20f851","resolution":{"observed_at":"2026-07-01T14:55:47.979290Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1604.01444","last_updated":"2016-08-12T19:31:15Z","snapshot_observed_at":"2026-07-06T04:51:51.920659Z","submitted_at":"2016-04-05T22:41:13Z","title":"A Convolutional Neural Network Neutrino Event Classifier","version":3},"cited_work":{"arxiv_id":"1604.01444","doi":null,"metadata_source":"pith","pith_arxiv_id":"1604.01444","snapshot_observed_at":"2026-07-04T02:59:26.279860Z","title":"A Convolutional Neural Network Neutrino Event Classifier","venue":"hep-ex","work_id":"339b64e6-2a5c-4888-8534-bde966592df6","year":2016},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/1604.01444","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:362746f8ffd259e82c74b99a31fac2359f5c7185080460eb502f264a17025317","observation_id":"be55cae7-9e00-484d-9493-b619adbb1479","resolution":{"observed_at":"2026-07-01T14:55:47.953191Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1712.07158","last_updated":"2018-05-08T19:48:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-12-19T19:19:00Z","title":"Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV","version":2},"cited_work":{"arxiv_id":"1712.07158","doi":"10.1088/1748-0221/13/05/p05011","metadata_source":"pith","pith_arxiv_id":"1712.07158","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV","venue":"physics.ins-det","work_id":"f4987a87-60c8-4d60-8dfe-97c9218a5538","year":2017},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/1712.07158","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:bde2069c02a4fe17a8e572e3a21c299245ce038cb7c73fa3f0a549844b379958","observation_id":"f764573b-2162-41e2-b9fe-0054c9b79710","resolution":{"observed_at":"2026-07-01T14:55:47.971129Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-05-19T16:26:11.28337+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-19T16:26:11.28337+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.01826","last_updated":"2017-06-06T16:00:36Z","snapshot_observed_at":"2026-08-03T01:09:13.044741Z","submitted_at":"2017-06-06T16:00:36Z","title":"Efficient Antihydrogen Detection in Antimatter Physics by Deep Learning","version":1},"cited_work":{"arxiv_id":"1706.01826","doi":null,"metadata_source":"pith","pith_arxiv_id":"1706.01826","snapshot_observed_at":"2026-07-01T14:55:47.989322Z","title":"Efficient Antihydrogen Detection in Antimatter Physics by Deep Learning","venue":"physics.ins-det","work_id":"3c81162c-1be1-446c-896f-12a2bffe96b6","year":2017},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/1706.01826","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:6c898ba74dafc902cbd3148203f28ad0a090e4064de067553f5fa53afe02dc4b","observation_id":"7e5d91fb-7587-471d-82ad-bae1621a333d","resolution":{"observed_at":"2026-07-01T14:55:47.990603Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1808.07269","last_updated":"2018-08-22T08:27:28Z","snapshot_observed_at":"2026-07-06T06:56:49.530908Z","submitted_at":"2018-08-22T08:27:28Z","title":"A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber","version":1},"cited_work":{"arxiv_id":"1808.07269","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1808.07269","snapshot_observed_at":"2026-07-01T14:55:47.983335Z","title":"Adamset al.(MicroBooNE), Deep neural network for pixel-level electromagnetic particle identification in the MicroBooNE liquid argon time projection chamber, Phys","venue":null,"work_id":"d10fcf46-2fbd-4bf5-af41-8f935f58eb53","year":2019},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/1808.07269","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:dd78f833497db7ae0aa01835438925485d52e3e48ccb563fcb0f1ff6087d581e","observation_id":"8d56e8d7-bef9-4097-a37a-f7c1d1825a09","resolution":{"observed_at":"2026-07-01T14:55:47.984908Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1703.03507","last_updated":"2017-03-10T01:42:39Z","snapshot_observed_at":"2026-07-06T05:33:08.610018Z","submitted_at":"2017-03-10T01:42:39Z","title":"Decorrelated Jet Substructure Tagging using Adversarial Neural Networks","version":1},"cited_work":{"arxiv_id":"1703.03507","doi":"10.1103/physrevd.96.074034","metadata_source":"pith","pith_arxiv_id":"1703.03507","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Decorrelated Jet Substructure Tagging using Adversarial Neural Networks","venue":"hep-ex","work_id":"b4fe23a2-e49e-49d7-8f85-4f5ec72e7416","year":2017},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/1703.03507","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:ded6982a62921804c1b212eaab9ae96b456541ed953a7cad2fea267101acdd42","observation_id":"53e268ea-a714-4bc9-83c6-fbfacd04cb86","resolution":{"observed_at":"2026-07-01T14:55:47.988109Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1811.04557","last_updated":"2019-01-20T19:20:08Z","snapshot_observed_at":"2026-07-06T07:14:03.735574Z","submitted_at":"2018-11-12T05:19:32Z","title":"Improved Energy Reconstruction in NOvA with Regression Convolutional Neural Networks","version":3},"cited_work":{"arxiv_id":"1811.04557","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.04557","snapshot_observed_at":"2026-07-01T14:55:47.934979Z","title":"Improved Energy Reconstruction in NOvA with Regression Convolutional Neural Networks","venue":"physics.ins-det","work_id":"226bc0b6-a182-4d80-bf91-0e496a718986","year":2018},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/1811.04557","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:2daba806a0e6df185f34dc49afdbdef9109f96a3468797d447aff5d6c51c2122","observation_id":"3c49517a-423b-45e2-af5e-da5428b3b1d4","resolution":{"observed_at":"2026-07-01T14:55:47.938097Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T00:54:21.572115Z","title":"Radovic, M","venue":null,"work_id":"2eab52fa-345e-4a5a-8f30-8baca4f10dc8","year":2018},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:c92a7e3d8e472d7934cd982114b6c187a5dd573b1363ea26af6214c9e5dc62b1","observation_id":"2647e4ff-04bc-4742-a20f-014adac71ae1","resolution":{"observed_at":"2026-07-08T00:54:21.573329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.06391","last_updated":"2022-01-12T21:02:03Z","snapshot_observed_at":"2026-07-06T10:48:49.181349Z","submitted_at":"2021-03-11T00:10:08Z","title":"A deep-learning based raw waveform region-of-interest finder for the liquid argon time projection chamber","version":3},"cited_work":{"arxiv_id":"2103.06391","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2103.06391","snapshot_observed_at":"2026-07-03T19:58:54.608122Z","title":"Acciarriet al.(ArgoNeuT), JINST17, P01018 (2022), arXiv:2103.06391 [physics.ins-det]","venue":null,"work_id":"38e17f76-abdf-4ce4-8ff0-6126fbbb674d","year":2022},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/2103.06391","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:1fb3cb25cdc75aac461446c517d6c203b2ae5907462e9db4218bdb3918153090","observation_id":"fc9f51bc-37c1-4caf-8164-f6212bdf470e","resolution":{"observed_at":"2026-07-01T14:55:47.962221Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09911","last_updated":"2021-06-18T04:25:38Z","snapshot_observed_at":"2026-07-06T11:20:35.920607Z","submitted_at":"2021-06-18T04:25:38Z","title":"Extracting low energy signals from raw LArTPC waveforms using deep learning techniques -- A proof of concept","version":1},"cited_work":{"arxiv_id":"2106.09911","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.09911","snapshot_observed_at":"2026-07-01T14:55:47.969746Z","title":"Uboldi, D","venue":null,"work_id":"f13e535c-363f-4243-ae70-defcb927b2ff","year":2022},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/2106.09911","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:eecb2daa32089477f0776c3addab184b1a59958276ec90ae345ad8faddae7b6b","observation_id":"42d8626f-430a-486f-afd2-69e2710b9fa3","resolution":{"observed_at":"2026-07-01T14:55:47.973841Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2002.03005","doi":"10.48550/arxiv.2002.03005","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T09:47:00.541655Z","title":"Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume II: DUNE Physics","venue":null,"work_id":"4fa9951b-ee66-4954-8bd8-223b713b3d97","year":2002},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:1a2642ce5370c1dae5b25b78c9fa3d3f4ebb0786a9c983adba93950f2e5a7cb4","observation_id":"16b3018c-d5b9-470c-abd2-b9445372e84f","resolution":{"observed_at":"2026-07-01T14:55:47.967903Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T00:54:21.573954Z","title":null,"venue":null,"work_id":"afe37b2f-eea8-43e0-bc7d-d5c229ae6109","year":2025},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:0f5ee8b9c3a9b4bf84fc46d1378f80f9dfa8a47f00a38510e03e8371633e0a1b","observation_id":"bc7c272b-514f-48ab-b498-7bd05af070ae","resolution":{"observed_at":"2026-07-08T00:54:21.575160Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.11925","last_updated":"2024-08-05T11:53:51Z","snapshot_observed_at":"2026-07-06T18:47:21.527912Z","submitted_at":"2024-07-16T17:15:33Z","title":"Calibration and simulation of ionization signal and electronics noise in the ICARUS liquid argon time projection chamber","version":3},"cited_work":{"arxiv_id":"2407.11925","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.11925","snapshot_observed_at":"2026-07-01T14:55:47.991760Z","title":"Abratenkoet al.(ICARUS), Journal of Instrumenta- tion20(01), P01032, arXiv:2407.11925 [hep-ex]","venue":null,"work_id":"ce07923b-51df-4c1b-bed2-58472a3a72cd","year":null},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/2407.11925","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:9fc0ac471792dd48f68c0ca9250f5716d3e848339d6b9abca93affa89bf69e69","observation_id":"ba1b01a0-bad4-4e37-b80e-052388871ab3","resolution":{"observed_at":"2026-07-01T14:55:47.993258Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T00:54:21.579261Z","title":"Wiener,Extrapolation, Interpolation and Smoothing of Stationary Time Series(M.I.T","venue":null,"work_id":"1e516129-ab81-45f8-96a7-65146667c34e","year":1949},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:f39bda53a189715a031582503cc55fc4038059b28cec4684f2404cced7285008","observation_id":"04a8fa86-901c-4951-8050-3d6059d4b38f","resolution":{"observed_at":"2026-07-08T00:54:21.580555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T00:54:21.565062Z","title":null,"venue":null,"work_id":"869411c2-b46f-4dcf-beda-56bbe03f1164","year":2017},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:fe13d425ddfd8899ea1a445e32cbb5d8359ee5cd726c875e6c1ded52e963ec51","observation_id":"4ac41b5d-dc1c-4a0b-aaee-0fbb4856bc47","resolution":{"observed_at":"2026-07-08T00:54:21.566187Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"0905.2517","last_updated":"2009-11-18T22:50:39Z","snapshot_observed_at":"2026-07-06T01:53:50.451920Z","submitted_at":"2009-05-15T11:56:33Z","title":"The GENIE Neutrino Monte Carlo Generator","version":2},"cited_work":{"arxiv_id":"0905.2517","doi":null,"metadata_source":"pith","pith_arxiv_id":"0905.2517","snapshot_observed_at":"2026-07-04T14:09:52.529721Z","title":"The GENIE Neutrino Monte Carlo Generator","venue":"hep-ph","work_id":"cf0a5899-5193-4e16-a8d8-8a7a4f6d88ef","year":2009},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/0905.2517","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:bbb51ef3dc6b1cadcac395275c2d527a58a9b876c7dd3e8c225803736cd216ec","observation_id":"affe3bd9-0021-4992-a7d0-e2a070ed6448","resolution":{"observed_at":"2026-07-01T14:55:47.957995Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09381","last_updated":"2021-06-18T09:50:12Z","snapshot_observed_at":"2026-08-04T03:12:12.208124Z","submitted_at":"2021-06-17T10:54:59Z","title":"Recent highlights from GENIE v3","version":2},"cited_work":{"arxiv_id":"2106.09381","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.09381","snapshot_observed_at":"2026-07-01T14:55:47.957034Z","title":"Alvarez-Rusoet al.(GENIE), Eur","venue":null,"work_id":"2a98456e-63e3-4f53-a8a3-25fc448a1032","year":2021},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/2106.09381","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:6f71e48352ac854ae7cb21374362e9d237fbc970a4212e5c9cc5a6650f523096","observation_id":"9c8b91c8-0c84-43f1-8b2b-603c7ac2d438","resolution":{"observed_at":"2026-07-01T14:55:47.958994Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T00:54:21.575956Z","title":null,"venue":null,"work_id":"e44eae1f-6167-4b88-8a60-659dad488cdf","year":1998},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:68974119f7beca6c6b2ae201f8e39f3318dbf958ccd0a8559cca8c74140c844c","observation_id":"c402d47b-b28a-42ac-82bc-0cccbd4fef60","resolution":{"observed_at":"2026-07-08T00:54:21.577064Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T00:54:21.581179Z","title":null,"venue":null,"work_id":"368046a4-ff4f-4a78-af2b-47411c91e793","year":2003},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:0701d868b955a0767ed04541e069e09cdea3b31de08d1e983f4fcc1ee68babbb","observation_id":"61afe1ec-a904-48c0-89cb-5b62d1b0253d","resolution":{"observed_at":"2026-07-08T00:54:21.582392Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.12969","last_updated":"2024-08-09T16:10:10Z","snapshot_observed_at":"2026-07-06T18:48:04.031944Z","submitted_at":"2024-07-17T19:32:00Z","title":"Angular dependent measurement of electron-ion recombination in liquid argon for ionization calorimetry in the ICARUS liquid argon time projection chamber","version":2},"cited_work":{"arxiv_id":"2407.12969","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.12969","snapshot_observed_at":"2026-07-01T14:55:47.946791Z","title":"Abratenkoet al.(ICARUS), Journal of Instrumenta- tion20(01), P01033, arXiv:2407.12969 [physics]","venue":null,"work_id":"9b7ef9fc-1d7b-4469-a1e9-0b3c398dfd56","year":null},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/2407.12969","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:a9b98d2ff0db4c89be6f26d529c9892373f230fa52cb72aade1f686868dffd0e","observation_id":"17c5599b-0c24-4cb3-a8aa-77214d165684","resolution":{"observed_at":"2026-07-01T14:55:47.948805Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T00:54:21.566766Z","title":"Bunemann, T","venue":null,"work_id":"928ef6d3-6b28-41e5-8c80-1c94e27a9a28","year":2011},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:cbc30afb175b288f46d172bd82c91cd4b04854f027ded325d14ee35c0583f242","observation_id":"967c12b0-996a-4849-9f2b-db7a043e81c0","resolution":{"observed_at":"2026-07-08T00:54:21.567890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T00:54:21.583035Z","title":"G¨ opfert, F","venue":null,"work_id":"26fe6fd5-05de-4a52-872b-3ad37f1d4bdb","year":2000},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:ebd7735cf09f9a3b7b164e2f353eefcecd4545fac761ee4bd54521f061114afe","observation_id":"fdb35142-29b6-42fa-8992-fcf7d412578b","resolution":{"observed_at":"2026-07-08T00:54:21.584170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T00:54:21.568481Z","title":"Bevilacqua, A","venue":null,"work_id":"496da4e9-1ca7-436c-afc7-6ee6f33e19f7","year":2015},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:4edc901f87c1d8cb765fb49d3b9720c1eb2095482191d540471cb8fdc94c4266","observation_id":"2f6965b5-abb8-460c-a12c-76c252c7b6a1","resolution":{"observed_at":"2026-07-08T00:54:21.569626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.10275","last_updated":"2017-11-28T13:21:58Z","snapshot_observed_at":"2026-07-06T06:11:35.990430Z","submitted_at":"2017-11-28T13:21:58Z","title":"3D Semantic Segmentation with Submanifold Sparse Convolutional Networks","version":1},"cited_work":{"arxiv_id":"1711.10275","doi":null,"metadata_source":"pith","pith_arxiv_id":"1711.10275","snapshot_observed_at":"2026-07-01T14:55:47.919055Z","title":"3D Semantic Segmentation with Submanifold Sparse Convolutional Networks","venue":"cs.CV","work_id":"e5958e6c-d471-4a03-b1cf-e54fa9a5e265","year":2017},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/1711.10275","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:c81765289231b7749cd6d9abd637f67693692960245c3efea8f0fbadb22a5423","observation_id":"ae4b2090-b957-4454-8059-c9c4ed78e608","resolution":{"observed_at":"2026-07-01T14:55:47.920584Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.01033","last_updated":"2021-02-01T18:10:00Z","snapshot_observed_at":"2026-08-04T05:23:01.952302Z","submitted_at":"2021-02-01T18:10:00Z","title":"Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for Particle Imaging Detectors","version":1},"cited_work":{"arxiv_id":"2102.01033","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2102.01033","snapshot_observed_at":"2026-07-03T19:58:54.811653Z","title":"Drielsma, K","venue":null,"work_id":"0ae9b16b-a26a-464b-ab4e-d77dc01433b6","year":2021},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/2102.01033","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:666a89c1b2ec3350e117fd7e85dc102b82b1eedf8e896e5f95ba4877e88194d9","observation_id":"9b03124e-cf4b-4441-a604-f7625dd099ee","resolution":{"observed_at":"2026-07-01T14:55:47.974476Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.10165","last_updated":"2018-07-18T04:08:21Z","snapshot_observed_at":"2026-07-06T06:52:28.777662Z","submitted_at":"2018-07-18T04:08:21Z","title":"UNet++: A Nested U-Net Architecture for Medical Image Segmentation","version":1},"cited_work":{"arxiv_id":"1807.10165","doi":null,"metadata_source":"pith","pith_arxiv_id":"1807.10165","snapshot_observed_at":"2026-07-02T04:56:38.294771Z","title":"UNet++: A Nested U-Net Architecture for Medical Image Segmentation","venue":"cs.CV","work_id":"b99061ba-31e6-4ca0-9ec1-9f9620936f7c","year":2018},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/1807.10165","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:819beae6fbd2af001612853778643136401953f3ed188c183f73358fb8e4e27e","observation_id":"85b033f2-1c10-458a-b30a-d385f5f7dd21","resolution":{"observed_at":"2026-07-01T14:55:47.955611Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T00:54:21.577638Z","title":null,"venue":null,"work_id":"618da53e-01d7-403e-a745-e880703909cb","year":1945},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:dc070d49205aa956cf5ac6bd5b8d079cc7c115cc9a66fca80b6bc0d70b57c4e5","observation_id":"c1e43742-29fb-4c09-a5a1-833e2dd3cd1b","resolution":{"observed_at":"2026-07-08T00:54:21.578718Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T00:54:21.584787Z","title":null,"venue":null,"work_id":"07806639-f863-4a45-a04c-6c74cfda6818","year":1948},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:eb8d785c00b8d37c0afd2afba7bdc968c995c136d7bf33fc954a25ac1de9047a","observation_id":"93bbe02a-73e3-478c-998b-f609ce5fed57","resolution":{"observed_at":"2026-07-08T00:54:21.586023Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T00:54:21.586602Z","title":null,"venue":null,"work_id":"d6bc9f2c-44a9-4154-8c99-268d1b3887bd","year":1994},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:bbf38b31a6dea946fe5a4c994bb3b23b612dff14cbc98d8d59b91c932aa7cc32","observation_id":"d6f76954-c003-4e44-97c3-2a66e4a5fec4","resolution":{"observed_at":"2026-07-08T00:54:21.587667Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1512.03385","last_updated":"2015-12-10T19:51:55Z","snapshot_observed_at":"2026-07-06T04:39:28.429064Z","submitted_at":"2015-12-10T19:51:55Z","title":"Deep Residual Learning for Image Recognition","version":1},"cited_work":{"arxiv_id":"1512.03385","doi":"10.48550/arxiv.1512.03385","metadata_source":"pith","pith_arxiv_id":"1512.03385","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Deep Residual Learning for Image Recognition","venue":"cs.CV","work_id":"ae9e5671-23e8-4853-82a4-699b5b8dd639","year":2015},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/1512.03385","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:855d2a0836db80804e52b9dd542f4f530007081c62dbaa7cb05becd2f11dd869","observation_id":"3e9e2f8d-0208-4864-8f70-7ca66b56a8c5","resolution":{"observed_at":"2026-07-01T14:55:47.942668Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-02T01:38:25.811068+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-02T01:38:25.811068+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":"1412.6980","doi":"10.1002/mrm.28086","metadata_source":"pith","pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Adam: A Method for Stochastic Optimization","venue":"cs.LG","work_id":"1910796d-9b52-4683-bf5c-de9632c1028b","year":2014},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:1c2cf235e92fb77ca97e03de835e966bed7889ac072900a3cc85ba209f4d6d50","observation_id":"43d47969-03eb-4aaf-a4ed-924f7a94cf66","resolution":{"observed_at":"2026-07-01T14:55:47.943383Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T00:54:21.570262Z","title":"Paszke, S","venue":null,"work_id":"8d88103e-2514-44e8-9b21-8541e5861b8c","year":2019},"citing_paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-06-30T19:16:01.159777Z"},"links":{"citing_paper":"/paper/2605.18861"},"observation_digest":"sha256:f24e94659c4797dbc6de7e666eca93bf13611465d1a25d3619fce89232e00534","observation_id":"43bdf41e-ace7-493a-9a07-a6d0bd9df8fb","resolution":{"observed_at":"2026-07-08T00:54:21.571469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.18861","last_updated":"2026-05-29T02:09:42Z","latest_version":3,"primary_category":"physics.ins-det","snapshot_observed_at":"2026-07-31T09:20:59.860185Z","submitted_at":"2026-05-14T20:12:11Z","title":"Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks"},"reference_resolution":{"displayed":47,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":8,"verified_exact":30,"verified_fuzzy":7},"total_outbound_references":47},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2605.18861."}