{"as_of":"2026-08-11T13:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:93934cba91fb9141aa6a18b6b6639f30c8e4107c797eb7e132a8eb3d28ebc408","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T12:42:04.752686Z","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":"2026-07-02T10:26:52.334735Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2207.09959","last_updated":"2024-12-04T09:45:26Z","snapshot_observed_at":"2026-08-10T14:36:27.783617Z","submitted_at":"2022-07-20T15:09:16Z","title":"Exploration of Parameter Spaces Assisted by Machine Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.09959","snapshot_observed_at":"2026-08-11T12:42:04.752686Z","title":"Hammad, M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.13982","last_updated":"2024-12-18T16:03:37Z","snapshot_observed_at":"2026-08-11T12:33:42.552958Z","submitted_at":"2024-12-18T16:03:37Z","title":"LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T12:42:04.752686Z"},"links":{"cited_paper":"/paper/2207.09959","citing_paper":"/paper/2412.13982"},"observation_digest":"sha256:01f9a5471c418ee874cdace23a6a7e9fdccd84cfd18165bf0ba84042e08b62d8","observation_id":"7a15b9d2-98cb-4726-bf70-b4742fd9fc3f","resolution":{"observed_at":"2026-08-11T12:42:04.752686Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.09959","last_updated":"2024-12-04T09:45:26Z","snapshot_observed_at":"2026-08-10T14:36:27.783617Z","submitted_at":"2022-07-20T15:09:16Z","title":"Exploration of Parameter Spaces Assisted by Machine Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.09959","snapshot_observed_at":"2026-08-11T00:08:52.985671Z","title":"Hammad, M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.19675","last_updated":"2024-12-27T14:52:42Z","snapshot_observed_at":"2026-08-11T03:31:36.997486Z","submitted_at":"2024-12-27T14:52:42Z","title":"DLScanner: A parameter space scanner package assisted by deep learning methods","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:52.985671Z"},"links":{"cited_paper":"/paper/2207.09959","citing_paper":"/paper/2412.19675"},"observation_digest":"sha256:1043e66bcebca3bd4bbb70c5174eef44e34b242252d295ac6fc24b535d344406","observation_id":"e1188ac9-c902-4c04-affa-a29c134d8c59","resolution":{"observed_at":"2026-08-11T00:08:52.985671Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.09959","last_updated":"2024-12-04T09:45:26Z","snapshot_observed_at":"2026-08-10T14:36:27.783617Z","submitted_at":"2022-07-20T15:09:16Z","title":"Exploration of Parameter Spaces Assisted by Machine Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.09959","snapshot_observed_at":"2026-08-10T13:21:25.311759Z","title":"Hammad, M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.16432","last_updated":"2025-02-06T05:08:24Z","snapshot_observed_at":"2026-08-11T05:27:50.285858Z","submitted_at":"2025-01-27T19:00:04Z","title":"Normalizing Flow-Assisted Nested Sampling on Type-II Seesaw Model","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T13:21:25.311759Z"},"links":{"cited_paper":"/paper/2207.09959","citing_paper":"/paper/2501.16432"},"observation_digest":"sha256:ea2c55c90e8b98dc389a23a88cf83bd33110cad2d4b8e1034ee8a671cf21f7f6","observation_id":"3a6041d9-22ae-4992-8237-40ee09953d5e","resolution":{"observed_at":"2026-08-10T13:21:25.311759Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.09959","last_updated":"2024-12-04T09:45:26Z","snapshot_observed_at":"2026-08-10T14:36:27.783617Z","submitted_at":"2022-07-20T15:09:16Z","title":"Exploration of Parameter Spaces Assisted by Machine Learning","version":4},"cited_work":{"arxiv_id":"2207.09959","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2207.09959","snapshot_observed_at":"2026-07-02T10:26:52.334735Z","title":"Hammad, M","venue":null,"work_id":"35c4313d-640f-49a5-95bc-109be49fb9a6","year":2023},"citing_paper":{"arxiv_id":"2606.05410","last_updated":"2026-06-03T20:23:45Z","snapshot_observed_at":"2026-08-06T04:54:18.268004Z","submitted_at":"2026-06-03T20:23:45Z","title":"BSMArt 2: simpler and faster parameter space scans","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-06-28T05:02:44.747731Z"},"links":{"cited_paper":"/paper/2207.09959","citing_paper":"/paper/2606.05410"},"observation_digest":"sha256:62624605d4bb7af951f678a63d4a74bb6f0d6d1a4a9a7d71423d57d8b7530d25","observation_id":"d0e374fd-965a-40f9-8ab8-ba98dfb5b324","resolution":{"observed_at":"2026-07-02T10:26:52.336035Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2207.09959/citation-record","integrity":"/paper/2207.09959/integrity","json":"/paper/2207.09959/citation-record.json","paper":"/paper/2207.09959"},"outbound":[],"paper":{"arxiv_id":"2207.09959","last_updated":"2024-12-04T09:45:26Z","latest_version":4,"primary_category":"hep-ph","snapshot_observed_at":"2026-08-10T14:36:27.783617Z","submitted_at":"2022-07-20T15:09:16Z","title":"Exploration of Parameter Spaces Assisted by Machine Learning"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2207.09959."}