{"as_of":"2026-08-13T10:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ff89319b7b9b7bc3ab40a769380e200918c3afc99d4febbcab429797d8e6853a","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T18:30:19.400992Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T19:58:54.825955Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2102.05124","last_updated":"2021-02-09T20:49:13Z","snapshot_observed_at":"2026-08-13T03:07:11.166055Z","submitted_at":"2021-02-09T20:49:13Z","title":"A $W^\\pm$ polarization analyzer from Deep Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.05124","snapshot_observed_at":"2026-08-12T18:30:19.400992Z","title":"Kim and A","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.11519","last_updated":"2024-11-18T12:27:20Z","snapshot_observed_at":"2026-08-12T20:33:12.047594Z","submitted_at":"2024-11-18T12:27:20Z","title":"Transformer networks for Heavy flavor jet tagging","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T18:30:19.400992Z"},"links":{"cited_paper":"/paper/2102.05124","citing_paper":"/paper/2411.11519"},"observation_digest":"sha256:c1e47fab240b1858a4a1896cec83591e923855406fba6078d7fb7db6c1749179","observation_id":"8ec6381b-44aa-42be-8c0c-acf5ddc78bfc","resolution":{"observed_at":"2026-08-12T18:30:19.400992Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2102.05124","last_updated":"2021-02-09T20:49:13Z","snapshot_observed_at":"2026-08-13T03:07:11.166055Z","submitted_at":"2021-02-09T20:49:13Z","title":"A $W^\\pm$ polarization analyzer from Deep Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.05124","snapshot_observed_at":"2026-08-12T16:20:48.290887Z","title":"Kim and A","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.13664","last_updated":"2025-07-30T17:15:32Z","snapshot_observed_at":"2026-08-13T06:03:01.609114Z","submitted_at":"2024-11-20T19:15:34Z","title":"Optimal sensitivity of anomalous charged triple gauge couplings through $W$ boson helicity at the $e^+e^-$ colliders","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-12T16:20:48.290887Z"},"links":{"cited_paper":"/paper/2102.05124","citing_paper":"/paper/2411.13664"},"observation_digest":"sha256:205560f033d1d5338a80a637f53ad3c56777dbb26cba4dc3371be3c64ee1a7a1","observation_id":"0b7add44-6131-4aba-a49e-7bcf3de4b61f","resolution":{"observed_at":"2026-08-12T16:20:48.290887Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2102.05124","last_updated":"2021-02-09T20:49:13Z","snapshot_observed_at":"2026-08-13T03:07:11.166055Z","submitted_at":"2021-02-09T20:49:13Z","title":"A $W^\\pm$ polarization analyzer from Deep Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.05124","snapshot_observed_at":"2026-08-11T14:18:41.048772Z","title":"Kim and A","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.12336","last_updated":"2025-08-11T01:43:41Z","snapshot_observed_at":"2026-08-11T19:24:28.287953Z","submitted_at":"2024-12-16T20:12:05Z","title":"Electroweak Symmetry Restoration and Radiation Amplitude Zeros","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T14:18:41.048772Z"},"links":{"cited_paper":"/paper/2102.05124","citing_paper":"/paper/2412.12336"},"observation_digest":"sha256:e118a7baf517dc5eafd747625c572afefced3484852bbee5c75921e288df60a5","observation_id":"50356881-dada-4c58-a76a-92db9ee082f1","resolution":{"observed_at":"2026-08-11T14:18:41.048772Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2102.05124","last_updated":"2021-02-09T20:49:13Z","snapshot_observed_at":"2026-08-13T03:07:11.166055Z","submitted_at":"2021-02-09T20:49:13Z","title":"A $W^\\pm$ polarization analyzer from Deep Neural Networks","version":1},"cited_work":{"arxiv_id":"2102.05124","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2102.05124","snapshot_observed_at":"2026-07-03T19:58:54.825955Z","title":"Kim and A","venue":null,"work_id":"e2d3594d-699c-41b9-baca-41bd0b85c1cc","year":null},"citing_paper":{"arxiv_id":"2505.03258","last_updated":"2026-02-12T20:05:26Z","snapshot_observed_at":"2026-07-31T08:32:11.043797Z","submitted_at":"2025-05-06T07:37:34Z","title":"IAFormer: Interaction-Aware Transformer network for collider data analysis","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-22T17:13:47.293753Z"},"links":{"cited_paper":"/paper/2102.05124","citing_paper":"/paper/2505.03258"},"observation_digest":"sha256:32f804e0c84cb3e48fea4700bff9f580e081773b9b7e9cac259e0762a57b8b3d","observation_id":"de57760c-43f0-4825-afaa-85d2bb1800fa","resolution":{"observed_at":"2026-05-22T17:14:59.602639Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.05124","last_updated":"2021-02-09T20:49:13Z","snapshot_observed_at":"2026-08-13T03:07:11.166055Z","submitted_at":"2021-02-09T20:49:13Z","title":"A $W^\\pm$ polarization analyzer from Deep Neural Networks","version":1},"cited_work":{"arxiv_id":"2102.05124","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2102.05124","snapshot_observed_at":"2026-07-03T19:58:54.825955Z","title":"Kim and A","venue":null,"work_id":"e2d3594d-699c-41b9-baca-41bd0b85c1cc","year":null},"citing_paper":{"arxiv_id":"2607.00962","last_updated":"2026-07-01T13:58:21Z","snapshot_observed_at":"2026-08-06T06:11:28.037416Z","submitted_at":"2026-07-01T13:58:21Z","title":"Higher-order effects in amplitude-assisted polarisation extraction with machine-learning techniques","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-02T09:53:40.367066Z"},"links":{"cited_paper":"/paper/2102.05124","citing_paper":"/paper/2607.00962"},"observation_digest":"sha256:7a79a89e034dc4caac13ec58ce180e2bb79b3f0f4ec24cc1fc6d4d60bd7016be","observation_id":"70b49daf-4c0d-48db-ba9e-90e0c91103f1","resolution":{"observed_at":"2026-07-02T09:56:51.333571Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.05124","last_updated":"2021-02-09T20:49:13Z","snapshot_observed_at":"2026-08-13T03:07:11.166055Z","submitted_at":"2021-02-09T20:49:13Z","title":"A $W^\\pm$ polarization analyzer from Deep Neural Networks","version":1},"cited_work":{"arxiv_id":"2102.05124","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2102.05124","snapshot_observed_at":"2026-07-03T19:58:54.825955Z","title":"Kim and A","venue":null,"work_id":"e2d3594d-699c-41b9-baca-41bd0b85c1cc","year":null},"citing_paper":{"arxiv_id":"2607.01354","last_updated":"2026-07-01T18:11:57Z","snapshot_observed_at":"2026-08-12T12:40:33.993995Z","submitted_at":"2026-07-01T18:11:57Z","title":"Local Conformal Predictions for Calibrated Surrogates","version":1},"reference_index":276,"source":"arxiv_source","source_observed_at":"2026-07-03T19:29:34.070294Z"},"links":{"cited_paper":"/paper/2102.05124","citing_paper":"/paper/2607.01354"},"observation_digest":"sha256:65ecaf4b9f5281164c97f69cb9856c4ce535fb3ff7589e77bec4b37d028c28c8","observation_id":"54efb46d-c1ce-4510-8a80-f71e6226b42a","resolution":{"observed_at":"2026-07-03T19:58:54.827230Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2102.05124/citation-record","integrity":"/paper/2102.05124/integrity","json":"/paper/2102.05124/citation-record.json","paper":"/paper/2102.05124"},"outbound":[],"paper":{"arxiv_id":"2102.05124","last_updated":"2021-02-09T20:49:13Z","latest_version":1,"primary_category":"hep-ph","snapshot_observed_at":"2026-08-13T03:07:11.166055Z","submitted_at":"2021-02-09T20:49:13Z","title":"A $W^\\pm$ polarization analyzer from Deep Neural Networks"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2102.05124."}