{"as_of":"2026-08-17T14:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:95ebc9f2a2358c59575d20b6e17bf321b8f19bc7b58cf207c47b790b531cde18","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T20:15:33.174737Z","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":"2026-08-16T16:44:32.828647Z","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":"2026-08-12T20:15:33.174737Z","title":"Hammad, M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.09927","last_updated":"2024-11-15T03:55:09Z","snapshot_observed_at":"2026-08-16T08:49:50.835061Z","submitted_at":"2024-11-15T03:55:09Z","title":"Quantum similarity learning for anomaly detection","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-12T20:15:33.174737Z"},"links":{"cited_paper":"/paper/2207.09959","citing_paper":"/paper/2411.09927"},"observation_digest":"sha256:1e4282524cc9b422631e24c5ac185455a4aed9f632305534e7056d31ccf1c86a","observation_id":"9c8b91eb-daca-4d91-9d56-009df5b19bcf","resolution":{"observed_at":"2026-08-12T20:15:33.174737Z","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":"2026-08-16T16:44:32.828647Z","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":"2026-08-15T13:55:46.708994Z","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":"sha256:0cb4eeb5c33b48678b34788932782a569867d49a81bb67c1c19d150c7cd860ca","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":"2026-08-16T16:44:32.828647Z","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":"2026-08-15T20:03:34.554280Z","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:fb3cf1db6c722fb606ac44e8bb624a6e64b6761be5e8719d4cef3c076457ada5","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":"2026-08-16T16:44:32.828647Z","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":"2026-08-13T18:40:34.597431Z","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":"sha256:401e2a3eded9279533f0a5f32bb2d380985b9375595599260c7956786cbc7695","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":"2026-08-16T16:44:32.828647Z","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":"sha256:545ef7169d47dc06da4f4d3dc59809c6c928a2f1b41f4a7e146f22d2043e899c","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T16:44:32.828647Z","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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2207.09959."}