{"as_of":"2026-08-05T20:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5be244e8d35c7920c7352cb95377112b8dbf1935504abcd1e9ab2e508ed62d31","coverage":[{"denominator":62,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":62,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-18T19:21:02.625794Z","state":"measured"},{"denominator":64,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":64,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T12:51:49.155762Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-02T10:26:52.254140Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.01677","snapshot_observed_at":"2026-08-04T12:51:49.155762Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.02434","last_updated":"2026-03-02T11:52:26Z","snapshot_observed_at":"2026-08-05T14:55:56.762872Z","submitted_at":"2025-10-02T18:00:01Z","title":"Perturbative unitarity for models with singlet and doublet scalars","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-04T12:51:49.155762Z"},"links":{"cited_paper":"/paper/2509.01677","citing_paper":"/paper/2510.02434"},"observation_digest":"sha256:c67b694409a4dda70a6ff766c4e12f382e3ec86f58ec588e9fc71cd88af71e78","observation_id":"2fbfdb84-5529-4033-9a32-cf1631effc8c","resolution":{"observed_at":"2026-08-04T12:51:49.155762Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"cited_work":{"arxiv_id":"2509.01677","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.01677","snapshot_observed_at":"2026-07-02T10:26:52.254140Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","venue":"hep-ph","work_id":"62953484-a27a-4cb7-a22b-9db1364f27bc","year":2025},"citing_paper":{"arxiv_id":"2606.05410","last_updated":"2026-06-03T20:23:45Z","snapshot_observed_at":"2026-07-06T23:45:23.749718Z","submitted_at":"2026-06-03T20:23:45Z","title":"BSMArt 2: simpler and faster parameter space scans","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-06-28T05:02:44.747731Z"},"links":{"cited_paper":"/paper/2509.01677","citing_paper":"/paper/2606.05410"},"observation_digest":"sha256:11bfec469da0c5080a678c5a4ad9a75fe6790e1dcfd8f3b727a5142867d0f06e","observation_id":"c7d38b12-a9cc-4515-8db8-0c744f465f7c","resolution":{"observed_at":"2026-07-02T10:26:52.255378Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2509.01677/citation-record","integrity":"/paper/2509.01677/integrity","json":"/paper/2509.01677/citation-record.json","paper":"/paper/2509.01677"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1303.5062","last_updated":"2014-06-05T10:08:11Z","snapshot_observed_at":"2026-07-06T03:09:14.953676Z","submitted_at":"2013-03-20T20:10:01Z","title":"Planck 2013 results. I. Overview of products and scientific results","version":2},"cited_work":{"arxiv_id":"1303.5062","doi":null,"metadata_source":"pith","pith_arxiv_id":"1303.5062","snapshot_observed_at":"2026-07-09T09:26:08.461769Z","title":"Planck 2013 results. I. Overview of products and scientific results","venue":"astro-ph.CO","work_id":"cbd7262e-af03-4748-a6d0-9a866993ff4c","year":2013},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1303.5062","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:70afb124aff0dae3b0a67648378bf174fcd82db14846e1d9691bb0bd8c52ac38","observation_id":"8a2f8b72-b22c-49cd-8a85-5134e065765e","resolution":{"observed_at":"2026-05-18T19:21:47.531865Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1106.0034","last_updated":"2011-12-19T12:09:24Z","snapshot_observed_at":"2026-07-06T02:28:37.857080Z","submitted_at":"2011-05-31T21:32:22Z","title":"Theory and phenomenology of two-Higgs-doublet models","version":3},"cited_work":{"arxiv_id":"1106.0034","doi":null,"metadata_source":"pith","pith_arxiv_id":"1106.0034","snapshot_observed_at":"2026-07-04T10:59:46.656689Z","title":"Theory and phenomenology of two-Higgs-doublet models","venue":"hep-ph","work_id":"90152722-ff38-402e-ac7b-1a817bd9dad3","year":2011},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1106.0034","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:78a035826216b62d0e19a8e349c98b5fe0ac6ab12c67adad83b33b25b5a90918","observation_id":"6369e422-df58-4689-9c9d-7f4ab2a93b18","resolution":{"observed_at":"2026-05-18T19:21:47.515177Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"hep-ph/0503173","last_updated":"2005-05-03T15:18:21Z","snapshot_observed_at":"2026-07-07T04:06:56.646352Z","submitted_at":"2005-03-17T16:52:58Z","title":"The Anatomy of Electro-Weak Symmetry Breaking. II: The Higgs bosons in the Minimal Supersymmetric Model","version":2},"cited_work":{"arxiv_id":"hep-ph/0503173","doi":null,"metadata_source":"pith","pith_arxiv_id":"hep-ph/0503173","snapshot_observed_at":"2026-07-03T11:28:03.974077Z","title":"The Anatomy of Electro-Weak Symmetry Breaking. II: The Higgs bosons in the Minimal Supersymmetric Model","venue":"hep-ph","work_id":"86e41884-79e9-4b25-90d5-e71a605a3c97","year":2005},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/hep-ph/0503173","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:170ecd98f9984d6f793c9ab66a1f6d23cf06ff758e80578234ebe8691702fefe","observation_id":"66b354f6-cc16-45e3-8042-4dd424394c4f","resolution":{"observed_at":"2026-05-18T19:21:47.491536Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e864a75e-6f53-415a-8923-72800ad2213b","year":2023},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:b8d5720e1abfcb6f2cc110a14092b9df17c69e825e78199491b8817fc0839939","observation_id":"f5576c2e-cc59-46c9-a750-856363f45664","resolution":{"observed_at":"2026-05-18T19:22:50.079545Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Dimopoulos, D","venue":null,"work_id":"164b96e7-ecc0-4844-af30-d7f71a171313","year":1990},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:2c026d8c9b737d0e09171d6efbe113942f49c3bc7d72c580ed05f18fb049f445","observation_id":"de6ee86c-bf48-4efe-901c-12cb7531f059","resolution":{"observed_at":"2026-05-18T19:22:50.076557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1011.2907","last_updated":"2010-11-22T21:10:36Z","snapshot_observed_at":"2026-08-01T15:39:52.964609Z","submitted_at":"2010-11-12T13:36:47Z","title":"Turning off the Lights: How Dark is Dark Matter?","version":2},"cited_work":{"arxiv_id":"1011.2907","doi":null,"metadata_source":"pith","pith_arxiv_id":"1011.2907","snapshot_observed_at":"2026-07-03T18:18:50.193307Z","title":"Turning off the Lights: How Dark is Dark Matter?","venue":"hep-ph","work_id":"4eb5d275-da7a-4f8d-bd82-1ad26c9eed6f","year":2010},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1011.2907","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:01b8c6f1864a3499cff7f0955c23c54382cf80550abba3d733390038ebfc32cf","observation_id":"27fe1a41-b243-49ef-9f81-e02c43663d13","resolution":{"observed_at":"2026-05-18T19:21:47.537255Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"hep-ph/0404175","last_updated":"2004-08-13T15:46:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2004-04-21T13:12:59Z","title":"Particle Dark Matter: Evidence, Candidates and Constraints","version":2},"cited_work":{"arxiv_id":"hep-ph/0404175","doi":null,"metadata_source":"pith","pith_arxiv_id":"hep-ph/0404175","snapshot_observed_at":"2026-07-10T14:47:14.453944Z","title":"Particle Dark Matter: Evidence, Candidates and Constraints","venue":"hep-ph","work_id":"9f1f415a-e524-408a-8b8d-07c41bbab6c3","year":2004},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/hep-ph/0404175","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:2cb03a3f049f46dbce7f2f3d233e0fd1c91c8595e4a6e9d1e58738c9e80e3da9","observation_id":"f993eea2-d63d-4d8a-90e1-29ac4dd6e308","resolution":{"observed_at":"2026-05-18T19:21:47.484970Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1003.0904","last_updated":"2010-04-09T18:39:59Z","snapshot_observed_at":"2026-07-06T02:03:46.127618Z","submitted_at":"2010-03-04T00:36:02Z","title":"Dark Matter Candidates from Particle Physics and Methods of Detection","version":2},"cited_work":{"arxiv_id":"1003.0904","doi":null,"metadata_source":"pith","pith_arxiv_id":"1003.0904","snapshot_observed_at":"2026-07-10T05:36:48.633826Z","title":"Dark Matter Candidates from Particle Physics and Methods of Detection","venue":"astro-ph.CO","work_id":"41aa3f7d-d51d-47ac-ae55-7153be74cec8","year":2010},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1003.0904","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:9d05988dcfef75e9f2bc3a1512bc7f6c4565dab9816303f522c1b61d3d158ff7","observation_id":"8a95e688-b8a6-4439-bd05-95b7dc65975a","resolution":{"observed_at":"2026-05-18T19:21:47.526363Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"0910.4068","last_updated":"2010-12-02T18:28:46Z","snapshot_observed_at":"2026-07-06T02:02:50.284336Z","submitted_at":"2009-10-21T12:19:07Z","title":"A Natural Two-Higgs-Doublet Model","version":2},"cited_work":{"arxiv_id":"0910.4068","doi":"10.1103/physrevd.82.125026","metadata_source":"pith","pith_arxiv_id":"0910.4068","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A Natural Two-Higgs-Doublet Model","venue":"hep-ph","work_id":"eb673619-c0c3-4f16-b59a-702cb78e5bc0","year":2009},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/0910.4068","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:7bee5e0df7506646679a92f733128203d7914151acd3e07a754cbe3f9b7a73dd","observation_id":"dfc896a5-cc07-47ee-a18a-09962f3cd443","resolution":{"observed_at":"2026-05-18T19:21:47.520938Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-20T18:52:24.954688+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-20T18:52:24.954688+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1010.4214","last_updated":"2011-02-21T01:07:44Z","snapshot_observed_at":"2026-07-06T02:17:56.710552Z","submitted_at":"2010-10-20T14:43:15Z","title":"Dark matter annihilation through a lepton-specific Higgs boson","version":3},"cited_work":{"arxiv_id":"1010.4214","doi":null,"metadata_source":"pith","pith_arxiv_id":"1010.4214","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dark matter annihilation through a lepton-specific Higgs boson","venue":"hep-ph","work_id":"19cde20a-52c2-401f-b29d-3933df16d79b","year":2010},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1010.4214","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:46d76733c97d4fa58e9b7c83988ccea633102e550b2e4c965edb6b27fce42f70","observation_id":"4733274f-e27b-494b-84d0-3eec69f3de0c","resolution":{"observed_at":"2026-05-18T19:21:47.503716Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1106.3368","last_updated":"2011-08-29T21:40:58Z","snapshot_observed_at":"2026-08-05T18:51:44.456813Z","submitted_at":"2011-06-16T23:01:08Z","title":"Direct and Indirect Singlet Scalar Dark Matter Detection in the Lepton-Specific two-Higgs-doublet Model","version":2},"cited_work":{"arxiv_id":"1106.3368","doi":null,"metadata_source":"pith","pith_arxiv_id":"1106.3368","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Direct and Indirect Singlet Scalar Dark Matter Detection in the Lepton-Specific two-Higgs-doublet Model","venue":"hep-ph","work_id":"fac1edff-7bb2-4599-b8d8-ca6a64281011","year":2011},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1106.3368","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:19cfa462d6d53f6a5ca501e8e04ed5bfbf531f47d69f393e0ae2416ed214eec6","observation_id":"7033d933-32a7-49b6-a1ff-efa715ec5cb7","resolution":{"observed_at":"2026-05-18T19:21:47.479527Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1112.6364","last_updated":"2012-06-01T14:06:11Z","snapshot_observed_at":"2026-07-06T02:40:10.403861Z","submitted_at":"2011-12-29T18:23:05Z","title":"Hints of Standard Model Higgs Boson at the LHC and Light Dark Matter Searches","version":2},"cited_work":{"arxiv_id":"1112.6364","doi":null,"metadata_source":"pith","pith_arxiv_id":"1112.6364","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Hints of Standard Model Higgs Boson at the LHC and Light Dark Matter Searches","venue":"hep-ph","work_id":"22da3b4c-2624-4f07-a09a-103892cfc26d","year":2011},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1112.6364","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:78369b04a195080d06ebbb06b354e0cf0c82c072265f83e7da4e991c3b06d69f","observation_id":"fd44fa29-c9f5-4268-a45f-36dabcb3d9d2","resolution":{"observed_at":"2026-05-18T19:21:47.497861Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1212.5604","last_updated":"2012-12-21T21:00:02Z","snapshot_observed_at":"2026-07-06T03:02:40.338020Z","submitted_at":"2012-12-21T21:00:02Z","title":"2HDM Portal Dark Matter: LHC data and the Fermi-LAT 135 GeV Line","version":1},"cited_work":{"arxiv_id":"1212.5604","doi":null,"metadata_source":"pith","pith_arxiv_id":"1212.5604","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2HDM Portal Dark Matter: LHC data and the Fermi-LAT 135 GeV Line","venue":"hep-ph","work_id":"deeb39b8-ed71-4280-8931-ad5ebcab9740","year":2012},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1212.5604","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:81804bb77906a12acd834e8f51f5e5cd14ace6f1790db5d8f306c0621ed90152","observation_id":"46b4a188-2719-4dd4-854e-5411c1816cc0","resolution":{"observed_at":"2026-05-18T19:21:47.509721Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1408.2106","last_updated":"2014-08-09T14:29:22Z","snapshot_observed_at":"2026-07-06T03:51:20.672804Z","submitted_at":"2014-08-09T14:29:22Z","title":"Extending two-Higgs-doublet models by a singlet scalar field - the Case for Dark Matter","version":1},"cited_work":{"arxiv_id":"1408.2106","doi":"10.1007/jhep11(2014)105","metadata_source":"pith","pith_arxiv_id":"1408.2106","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Extending two-Higgs-doublet models by a singlet scalar field - the Case for Dark Matter","venue":"hep-ph","work_id":"ffe6b66e-9f4e-446b-8fb8-dd957a7fe7a2","year":2014},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1408.2106","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:8e477cf7de2cb8bc58379c777dcab9e421dee68fcf88de4b32347cb74184a003","observation_id":"42df37f9-1bca-41f1-9537-51cf019ee124","resolution":{"observed_at":"2026-05-18T19:21:47.254565Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-20T18:52:25.466111+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-20T18:52:25.466111+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1505.01793","last_updated":"2020-02-03T16:28:01Z","snapshot_observed_at":"2026-08-01T22:51:46.697732Z","submitted_at":"2015-05-07T18:04:17Z","title":"Implications of the observation of dark matter self-interactions for singlet scalar dark matter","version":4},"cited_work":{"arxiv_id":"1505.01793","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1505.01793","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Campbell, S","venue":null,"work_id":"fdbb0cf1-79a1-4695-8b35-42d227b7dc51","year":2015},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1505.01793","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:be00d231d635027fc16b3569023189b4c3fae4db50bebb07ab785cdb93f56879","observation_id":"823e426a-ffcb-4350-9eaf-bb38db359beb","resolution":{"observed_at":"2026-05-18T19:21:47.259431Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.3949","last_updated":"2014-03-20T04:27:38Z","snapshot_observed_at":"2026-07-06T03:30:50.371649Z","submitted_at":"2013-12-13T21:00:03Z","title":"The Next-to-Minimal Two Higgs Doublet Model","version":2},"cited_work":{"arxiv_id":"1312.3949","doi":null,"metadata_source":"pith","pith_arxiv_id":"1312.3949","snapshot_observed_at":"2026-07-01T23:46:24.088286Z","title":"The Next-to-Minimal Two Higgs Doublet Model","venue":"hep-ph","work_id":"a8a81736-60cc-41eb-ada2-4021b9ced25b","year":2013},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1312.3949","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:a7892a2a11c6737c07a5399c3ed4dedf3aa2bbb323a121f6dbc98b670cc7c8d5","observation_id":"a6852d12-6536-44de-906e-a161a27541b5","resolution":{"observed_at":"2026-05-18T19:21:47.370659Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1612.01309","last_updated":"2019-10-01T09:06:14Z","snapshot_observed_at":"2026-07-06T05:21:22.303631Z","submitted_at":"2016-12-05T11:21:59Z","title":"The N2HDM under Theoretical and Experimental Scrutiny","version":4},"cited_work":{"arxiv_id":"1612.01309","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1612.01309","snapshot_observed_at":"2026-07-02T09:06:49.600621Z","title":"Mühlleitner, M","venue":null,"work_id":"995f1e72-6995-4597-8760-da6019177c7d","year":2017},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1612.01309","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:f7debe08ea268ebf295da527ccec967c8e9fc94a5d98e2d3f1a7301fe48d5947","observation_id":"396362f9-c344-43e1-8b22-debb87bc2152","resolution":{"observed_at":"2026-05-18T19:21:47.359392Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.10234","last_updated":"2019-05-24T13:42:51Z","snapshot_observed_at":"2026-07-06T07:55:17.604266Z","submitted_at":"2019-05-24T13:42:51Z","title":"Vacuum Instabilities in the N2HDM","version":1},"cited_work":{"arxiv_id":"1905.10234","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1905.10234","snapshot_observed_at":"2026-07-02T09:16:48.886903Z","title":null,"venue":null,"work_id":"e7c29d33-b23c-4f71-9fd2-f66a437b4c33","year":2019},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1905.10234","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:d602f47a8efceba6166358bac8ca731e8f0d1274a548c07b5915096ee6d093d5","observation_id":"2276f10e-c912-44d7-a479-ff0c2c0a0067","resolution":{"observed_at":"2026-05-18T19:21:47.354447Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.05382","last_updated":"2020-04-11T12:11:49Z","snapshot_observed_at":"2026-07-06T09:11:39.502757Z","submitted_at":"2020-04-11T12:11:49Z","title":"The Dark Phases of the N2HDM","version":1},"cited_work":{"arxiv_id":"2004.05382","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2004.05382","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Engeln, P","venue":null,"work_id":"4cc4fad9-4188-4fec-bb4e-95125a38eaf8","year":2020},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2004.05382","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:d046e2ac429dd6ab5cbe80c7e10fce7177c9f468cf1c090c78e2b85fe4e95624","observation_id":"f1119d42-5121-43d3-bd14-2821b9edd675","resolution":{"observed_at":"2026-05-18T19:21:47.441818Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.13145","last_updated":"2022-04-27T18:52:18Z","snapshot_observed_at":"2026-07-06T13:04:27.256772Z","submitted_at":"2022-04-27T18:52:18Z","title":"Electroweak Corrections to Dark Matter Direct Detection in the Dark Singlet Phase of the N2HDM","version":1},"cited_work":{"arxiv_id":"2204.13145","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2204.13145","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Glaus, M","venue":null,"work_id":"78222e26-fba7-48d5-95d0-8d70dd6ca829","year":2022},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2204.13145","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:b507b107b4ce67884e42bdad59bf43b5392d5ee0fab03f4c3d0fc9af2937d44d","observation_id":"6aea8e9c-1f82-485b-9795-bb02eef3e9e7","resolution":{"observed_at":"2026-05-18T19:21:47.426328Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1808.02667","last_updated":"2018-12-17T10:59:25Z","snapshot_observed_at":"2026-07-06T06:54:36.479415Z","submitted_at":"2018-08-08T08:41:51Z","title":"Two Higgs Doublets and a Complex Singlet: Disentangling the Decay Topologies and Associated Phenomenology","version":2},"cited_work":{"arxiv_id":"1808.02667","doi":null,"metadata_source":"pith","pith_arxiv_id":"1808.02667","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Two Higgs Doublets and a Complex Singlet: Disentangling the Decay Topologies and Associated Phenomenology","venue":"hep-ph","work_id":"e6f6c370-549f-405a-ba81-b5a6d07daf33","year":2018},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1808.02667","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:358688b6c19f0734257294e1c8d46a5e8b19533f2445d4f7477a570c45932aec","observation_id":"259f3489-1eb0-4b74-89fa-1cc5e62725f2","resolution":{"observed_at":"2026-05-18T19:21:47.249843Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.11958","last_updated":"2021-12-22T15:30:01Z","snapshot_observed_at":"2026-07-06T12:21:34.887729Z","submitted_at":"2021-12-22T15:30:01Z","title":"A 96 GeV Higgs Boson in the 2HDM plus Singlet","version":1},"cited_work":{"arxiv_id":"2112.11958","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.11958","snapshot_observed_at":"2026-07-01T23:56:23.740643Z","title":"Heinemeyer, C","venue":null,"work_id":"0698e8f2-1acd-4fb5-98b5-3f3e35d01655","year":2022},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2112.11958","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:79439cbe478a869847553246754439b4615c64dfd12ce23250d390b97758c457","observation_id":"f6c6b0d5-b7c0-46de-b9d9-6cde805efa65","resolution":{"observed_at":"2026-05-18T19:21:47.338045Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.05509","last_updated":"2025-02-23T08:28:50Z","snapshot_observed_at":"2026-07-06T12:46:30.292996Z","submitted_at":"2022-03-10T17:54:19Z","title":"Phenomenology of the dark matter sector in the 2HDM extended with complex scalar singlet","version":4},"cited_work":{"arxiv_id":"2203.05509","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.05509","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dutta, G","venue":null,"work_id":"b0387dd0-123e-4f05-92d5-6984f48433c8","year":2025},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2203.05509","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:2b4d955a9f43541203f5ec31d56318a6d862bafaee83f40dbdc283762cd2c58a","observation_id":"4872b809-8d7e-4b97-9d3d-c5ed2d704a5c","resolution":{"observed_at":"2026-05-18T19:21:47.283460Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.05653","last_updated":"2024-09-19T11:47:09Z","snapshot_observed_at":"2026-07-06T16:04:54.766026Z","submitted_at":"2023-08-10T15:50:52Z","title":"Dark Matter Phenomenology in 2HDMS in light of the 95 GeV excess","version":2},"cited_work":{"arxiv_id":"2308.05653","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.05653","snapshot_observed_at":"2026-07-01T23:56:23.730428Z","title":"Dutta, J","venue":null,"work_id":"b131ed92-a2bb-4ebb-b817-7602e909c5ff","year":2024},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2308.05653","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:7521b5f0d3c612ae86378479e8629097846a95b5e4ac024ac8cf366ceb756d4d","observation_id":"f0ff0981-7df0-4e73-8199-9052908c887d","resolution":{"observed_at":"2026-05-18T19:21:47.421170Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.13592","last_updated":"2024-08-28T15:19:02Z","snapshot_observed_at":"2026-07-31T00:07:46.185203Z","submitted_at":"2024-08-24T14:26:34Z","title":"Vacuum (in)stability in 2HDMS vs N2HDM","version":2},"cited_work":{"arxiv_id":"2408.13592","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.13592","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Lahiri and G","venue":null,"work_id":"dfcbc05a-ab64-4ac1-bd72-25b85e80b017","year":null},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2408.13592","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:f6f236966daf59796c5e363e7c4acb99ae1f94dee8387b204350e36b9953e0d2","observation_id":"956f710a-cf3a-4f39-ab3f-6025798520d8","resolution":{"observed_at":"2026-05-18T19:21:47.446983Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.07753","last_updated":"2026-05-30T05:32:47Z","snapshot_observed_at":"2026-07-06T21:22:40.740091Z","submitted_at":"2025-05-12T16:59:31Z","title":"Dark Matter in Multi-Singlet Extensions of the Standard Model","version":2},"cited_work":{"arxiv_id":"2505.07753","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.07753","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Gonçalves, M","venue":null,"work_id":"e9bc6c5c-47ea-495b-8ed4-5f305a8935ce","year":null},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2505.07753","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:11aef0342c3663aa5dcdef0c4241b7b084ecdf554c33c339ec58afb803e203e4","observation_id":"9cb7a5c0-a091-4a78-8b87-d07ab2e7de37","resolution":{"observed_at":"2026-06-02T02:03:31.831305Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"hep-ph/0207010","last_updated":"2003-01-29T15:58:41Z","snapshot_observed_at":"2026-07-07T03:56:34.135774Z","submitted_at":"2002-06-30T23:13:40Z","title":"The CP-conserving two-Higgs-doublet model: the approach to the decoupling limit","version":5},"cited_work":{"arxiv_id":"hep-ph/0207010","doi":"10.1103/physrevd.67.075019","metadata_source":"pith","pith_arxiv_id":"hep-ph/0207010","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The CP-conserving two-Higgs-doublet model: the approach to the decoupling limit","venue":"hep-ph","work_id":"d9b23f5b-b616-4446-af30-6675fac2273d","year":2002},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/hep-ph/0207010","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:b333dcd1998261861cdbb54af092ff02593edf296d56675bea4ea5cee99d0de2","observation_id":"dee5521a-be7f-43fa-bc89-7cac44272833","resolution":{"observed_at":"2026-05-18T19:21:47.468175Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.01963","last_updated":"2019-09-01T14:47:47Z","snapshot_observed_at":"2026-07-06T08:04:53.804209Z","submitted_at":"2019-07-03T14:22:40Z","title":"Boundedness from below in the $U(1)\\times U(1)$ three-Higgs-Doublet model","version":2},"cited_work":{"arxiv_id":"1907.01963","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1907.01963","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Faro and Igor P","venue":null,"work_id":"205975a8-9726-4492-8db4-68bf9ef8acbf","year":2019},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1907.01963","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:c13ee46b43a22585fe2b109c6fae1ccc514936d8d6e173956fc30162782d8d9e","observation_id":"d2e6b483-1974-4494-bd85-0d179061cbf2","resolution":{"observed_at":"2026-05-18T19:21:47.431894Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.03970","last_updated":"2019-08-06T10:55:47Z","snapshot_observed_at":"2026-07-06T07:44:38.449115Z","submitted_at":"2019-04-08T11:37:44Z","title":"Alignment limit in three Higgs-doublet models","version":2},"cited_work":{"arxiv_id":"1904.03970","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1904.03970","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Das and I","venue":null,"work_id":"382b32cc-627a-444a-bb01-573c72a68493","year":2019},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1904.03970","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:783e92ffc18e68d630350eaeafd3ade5af3c449893c807d98e24c48dfff455ac","observation_id":"312ef783-ca9a-4670-9d94-c328d51f0f9d","resolution":{"observed_at":"2026-05-18T19:21:47.343091Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"188e49d3-58a7-401e-ad63-339e6f2f53f1","year":1985},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:d8c38a649159485539e806760ab0a760f3559c326d2c91fc7e22f49fb57029c8","observation_id":"e0c05602-b947-4e4f-86d8-882e318c2d6d","resolution":{"observed_at":"2026-05-18T19:22:50.070787Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1205.3781","last_updated":"2013-11-25T12:24:00Z","snapshot_observed_at":"2026-07-06T02:48:16.062612Z","submitted_at":"2012-05-16T20:00:02Z","title":"Vacuum Stability Conditions From Copositivity Criteria","version":3},"cited_work":{"arxiv_id":"1205.3781","doi":"10.1140/epjc/s10052-012-2093-z","metadata_source":"pith","pith_arxiv_id":"1205.3781","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Vacuum Stability Conditions From Copositivity Criteria","venue":"hep-ph","work_id":"1a9e9a3e-74b3-461d-b991-9fcf9dd5d553","year":2012},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1205.3781","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:d361d9210341d10ecc6e7fdded7400391b1913e497ea6d480e7a5c00c5c64b2d","observation_id":"069435f5-16b8-4268-88c5-e760be592486","resolution":{"observed_at":"2026-05-18T19:21:47.230779Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-21T12:52:45.140927+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T12:52:45.140927+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2208.01068","last_updated":"2022-08-01T18:09:49Z","snapshot_observed_at":"2026-07-06T13:37:39.596081Z","submitted_at":"2022-08-01T18:09:49Z","title":"BFB conditions on a class of symmetry constrained 3HDM","version":1},"cited_work":{"arxiv_id":"2208.01068","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2208.01068","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"9bdf522a-ae9f-4d9c-8045-6df4fbe8a703","year":2022},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2208.01068","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:828c219e2b9ee36bd291d8039d0c2ffe73650885aa76914a66d6304807d70048","observation_id":"afb4daa1-17e4-4f43-ac37-04aade11437b","resolution":{"observed_at":"2026-05-18T19:21:47.240086Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Ping and F","venue":null,"work_id":"036481d5-7276-4cbd-8d30-815a77282799","year":1993},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:1b8691f1670db77b95ae059062adfb133bad3aeed76750724a3384ce059c903d","observation_id":"b8aba86a-a47a-4864-b7c3-9f205ae6b08c","resolution":{"observed_at":"2026-05-18T19:22:50.073706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"James and M","venue":null,"work_id":"b2e416da-815b-4b53-bcdb-b1e7a75d0b2f","year":1975},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:eff28c4b08a5c6cb313971bff02a3a1763e5b063506d13f7846b7642aa94466a","observation_id":"8413759f-fd27-4106-a2f1-846c81c5b07a","resolution":{"observed_at":"2026-05-18T19:22:50.067583Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1708.09408","last_updated":"2017-09-08T21:49:40Z","snapshot_observed_at":"2026-07-06T05:57:25.042185Z","submitted_at":"2017-08-30T18:04:25Z","title":"Multi-Higgs doublet models: physical parametrization, sum rules and unitarity bounds","version":2},"cited_work":{"arxiv_id":"1708.09408","doi":null,"metadata_source":"pith","pith_arxiv_id":"1708.09408","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Multi-Higgs doublet models: physical parametrization, sum rules and unitarity bounds","venue":"hep-ph","work_id":"92783e9a-3c0f-4641-a467-a8c1e5c4d109","year":2017},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1708.09408","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:0f0e47b9372deb04e2b604165c7ec064dd5402c2dc3dfa4ae62e0958e2c2b343","observation_id":"90089d8f-f240-4ae4-83c2-a7d89337c292","resolution":{"observed_at":"2026-05-18T19:21:47.244585Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.13130","last_updated":"2022-04-27T18:00:10Z","snapshot_observed_at":"2026-08-02T21:22:11.028846Z","submitted_at":"2022-04-27T18:00:10Z","title":"Unitarity bounds for all symmetry-constrained 3HDMs","version":1},"cited_work":{"arxiv_id":"2204.13130","doi":"10.1007/jhep08(2022)273","metadata_source":"pith","pith_arxiv_id":"2204.13130","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Unitarity bounds for all symmetry-constrained 3HDMs","venue":"hep-ph","work_id":"63297ee6-f8fd-4937-a8ae-8f2f830d8323","year":2022},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2204.13130","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:5664ba869ef6b1eec6c19957106233179605f1385c4170c37ef576fa47c6d33d","observation_id":"1e9e9260-ea9f-417d-998b-e930f48c0ca9","resolution":{"observed_at":"2026-05-18T19:21:47.221000Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"0711.4022","last_updated":"2008-04-10T14:53:43Z","snapshot_observed_at":"2026-07-06T01:35:48.592883Z","submitted_at":"2007-11-26T14:58:57Z","title":"A precision constraint on multi-Higgs-doublet models","version":2},"cited_work":{"arxiv_id":"0711.4022","doi":null,"metadata_source":"pith","pith_arxiv_id":"0711.4022","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A precision constraint on multi-Higgs-doublet models","venue":"hep-ph","work_id":"4e9c2ae2-1b09-4024-a20f-4eb53586e11c","year":2007},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/0711.4022","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:f3a913aed2b273cfcfb99944a2128329a39662dd6781c5384384d6cbb40a6361","observation_id":"14d8f421-dd7a-42e8-bca9-8d1cbb0e30a7","resolution":{"observed_at":"2026-05-18T19:21:47.225877Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.09332","last_updated":"2023-06-28T17:14:36Z","snapshot_observed_at":"2026-08-04T11:58:11.676534Z","submitted_at":"2022-10-17T18:00:26Z","title":"HiggsTools: BSM scalar phenomenology with new versions of HiggsBounds and HiggsSignals","version":2},"cited_work":{"arxiv_id":"2210.09332","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.09332","snapshot_observed_at":"2026-07-04T14:09:53.457384Z","title":null,"venue":null,"work_id":"39f071d4-8d67-4a60-86cd-b4b9b1a931dc","year":2023},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2210.09332","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:0c412efe6cf61408c33b0a172368a4d45622f30a922c1782f1aa987d5d0a3e44","observation_id":"188dedc7-ac53-4ada-a5c6-3e958aac5534","resolution":{"observed_at":"2026-05-18T19:21:47.235445Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.14894","last_updated":"2024-02-26T10:36:11Z","snapshot_observed_at":"2026-08-02T16:26:00.476712Z","submitted_at":"2023-12-22T18:16:08Z","title":"micrOMEGAs 6.0: N-component dark matter","version":2},"cited_work":{"arxiv_id":"2312.14894","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.14894","snapshot_observed_at":"2026-07-10T13:27:05.841749Z","title":"micrOMEGAs 6.0: N-component dark matter","venue":"hep-ph","work_id":"34d9814f-40c2-4eb7-ad65-a55be3445d7b","year":2023},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2312.14894","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:ecf4fe5ef75483a5e0fee4730763d08b1476875cd2ade03ffb455a0ad0b016e5","observation_id":"20616549-f355-47ac-9f41-cda1a9efe126","resolution":{"observed_at":"2026-05-18T19:21:47.399624Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1403.4960","last_updated":"2014-03-19T20:19:54Z","snapshot_observed_at":"2026-07-06T03:38:56.475716Z","submitted_at":"2014-03-19T20:19:54Z","title":"Minimal semi-annihilating $\\mathbb{Z}_N$ scalar dark matter","version":1},"cited_work":{"arxiv_id":"1403.4960","doi":null,"metadata_source":"pith","pith_arxiv_id":"1403.4960","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Minimal semi-annihilating $\\mathbb{Z}_N$ scalar dark matter","venue":"hep-ph","work_id":"4d152bbb-1280-4295-9145-720a94d16462","year":2014},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1403.4960","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:7ff6e28f6a29cae707955b74000b5e21170382cde5e3f3b0d800e3d2e43705e7","observation_id":"dfdb9816-17a8-458b-83f7-0de5893a5cbd","resolution":{"observed_at":"2026-05-18T19:21:47.473855Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.08061","last_updated":"2021-08-18T09:25:10Z","snapshot_observed_at":"2026-07-06T11:39:13.348135Z","submitted_at":"2021-08-18T09:25:10Z","title":"Two dark matter candidates: the case of inert doublet and singlet scalars","version":1},"cited_work":{"arxiv_id":"2108.08061","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.08061","snapshot_observed_at":"2026-07-02T14:47:03.815116Z","title":"Belanger, A","venue":null,"work_id":"06f17c04-cd81-413a-beb3-720c3a7db5be","year":2022},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2108.08061","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:b4a02ca140c04d9e5f028d0924aa92a37e51cb4b086a0ad94fed6855726db481","observation_id":"79f150d1-0ba5-477d-9ea6-7a6c18344548","resolution":{"observed_at":"2026-05-18T19:21:47.296784Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1712.00002","last_updated":"2017-11-29T20:40:28Z","snapshot_observed_at":"2026-08-04T04:21:28.716445Z","submitted_at":"2017-11-29T20:40:28Z","title":"A Precision Search for WIMPs with Charged Cosmic Rays","version":1},"cited_work":{"arxiv_id":"1712.00002","doi":null,"metadata_source":"pith","pith_arxiv_id":"1712.00002","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A Precision Search for WIMPs with Charged Cosmic Rays","venue":"astro-ph.HE","work_id":"623a1c69-fdcb-4fc3-b694-db1d96ea5377","year":2017},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1712.00002","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:0679baec977700b3d8dd20a72d5801937b0237f5c251023d24f2c5f9118ac1b0","observation_id":"f8e9cdc0-0fc0-47c7-b512-9f3f6c0cd89b","resolution":{"observed_at":"2026-05-18T19:21:47.389802Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.09223","last_updated":"2022-06-18T15:27:31Z","snapshot_observed_at":"2026-07-06T13:22:20.385027Z","submitted_at":"2022-06-18T15:27:31Z","title":"Exploring Parameter Spaces with Artificial Intelligence and Machine Learning Black-Box Optimisation Algorithms","version":1},"cited_work":{"arxiv_id":"2206.09223","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.09223","snapshot_observed_at":"2026-07-02T10:26:52.360194Z","title":null,"venue":null,"work_id":"be233b5f-fb52-4de4-ba00-c10bf53d08c6","year":2023},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2206.09223","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:8d45087ffe7a1daf1a769cd710502bc540ba21211b7b6cc11300dee77ff09cc1","observation_id":"8b07af24-664a-4508-9498-88bbf1cea678","resolution":{"observed_at":"2026-05-18T19:21:47.302217Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.07661","last_updated":"2025-03-07T11:40:03Z","snapshot_observed_at":"2026-08-05T07:06:35.091894Z","submitted_at":"2024-02-12T14:07:16Z","title":"Combining Evolutionary Strategies and Novelty Detection to go Beyond the Alignment Limit of the $Z_3$ 3HDM","version":2},"cited_work":{"arxiv_id":"2402.07661","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.07661","snapshot_observed_at":"2026-07-02T10:26:52.328246Z","title":null,"venue":null,"work_id":"406e964b-8009-4ecc-9d54-3992c5c4d4fd","year":2024},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2402.07661","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:79595e567cee7cfda3d2c61b16b4b5cc7d2d5b6331c40d0469da9912abdbbac8","observation_id":"7447101e-0dc2-4d2c-a121-17c5cd543c29","resolution":{"observed_at":"2026-05-18T19:21:47.410173Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.10625","last_updated":"2025-07-29T10:38:04Z","snapshot_observed_at":"2026-07-06T21:24:39.918413Z","submitted_at":"2025-05-15T18:01:18Z","title":"Unearthing large pseudoscalar Yukawa couplings with Machine Learning","version":2},"cited_work":{"arxiv_id":"2505.10625","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.10625","snapshot_observed_at":"2026-07-02T10:26:52.330599Z","title":null,"venue":null,"work_id":"dc8c935c-e289-4b07-bd44-6e13479fc775","year":2025},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2505.10625","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:cb50787a129b5c9c758727b6c5e1c1249ea23e1b4359305b3fa6ecec92dc23e9","observation_id":"55677219-6f6a-46b8-8a2a-2ce8f5d2657e","resolution":{"observed_at":"2026-05-18T19:21:47.405046Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1702.04571","last_updated":"2017-02-15T12:15:02Z","snapshot_observed_at":"2026-07-06T05:30:07.844744Z","submitted_at":"2017-02-15T12:15:02Z","title":"Weak Radiative Decays of the B Meson and Bounds on $M_{H^\\pm}$ in the Two-Higgs-Doublet Model","version":1},"cited_work":{"arxiv_id":"1702.04571","doi":null,"metadata_source":"pith","pith_arxiv_id":"1702.04571","snapshot_observed_at":"2026-06-29T07:13:17.334760Z","title":"Weak Radiative Decays of the B Meson and Bounds on $M_{H^\\pm}$ in the Two-Higgs-Doublet Model","venue":"hep-ph","work_id":"9f3ab85d-2151-4a54-be90-1a95c9b9405b","year":2017},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1702.04571","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:a38392b95cf2d21637921a870dd41aa1d2b20c6bc9850c3d632a15f7ad6f9690","observation_id":"d78f9126-b62a-471f-8369-d20979566b63","resolution":{"observed_at":"2026-05-18T19:21:47.451992Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2505.08862","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T09:46:12.724932Z","title":"de Souza, N.F","venue":null,"work_id":"59e2bba0-6d4f-4ea3-a8d8-fddb00ad8254","year":2025},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:a125e73016a556603f4c766919323744bec11e342ed2e11faa2ef00ea7c08b33","observation_id":"d064de28-8c9b-4b93-a6f6-70427f6209ff","resolution":{"observed_at":"2026-05-18T19:21:47.326823Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.08628","last_updated":"2019-10-28T15:11:41Z","snapshot_observed_at":"2026-07-06T07:54:27.884642Z","submitted_at":"2019-05-19T18:30:48Z","title":"Constraining the Parameters of High-Dimensional Models with Active Learning","version":2},"cited_work":{"arxiv_id":"1905.08628","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1905.08628","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Caron, T","venue":null,"work_id":"7d96ccf8-e343-4aea-a9a2-e876b213f2e8","year":2019},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1905.08628","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:0dc0e4cbd71bc13b59c604bfc1ec2e35b029f157756fd6e03a65b11c65957b85","observation_id":"026b891e-6b5f-43a7-802b-59186f4a16c1","resolution":{"observed_at":"2026-05-18T19:21:47.375886Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.06957","last_updated":"2021-03-11T21:18:35Z","snapshot_observed_at":"2026-07-06T10:49:09.382403Z","submitted_at":"2021-03-11T21:18:35Z","title":"Efficient sampling of constrained high-dimensional theoretical spaces with machine learning","version":1},"cited_work":{"arxiv_id":"2103.06957","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2103.06957","snapshot_observed_at":"2026-07-03T19:58:54.723901Z","title":"Hollingsworth, M","venue":null,"work_id":"7e11faed-2de5-493a-9102-59398879c2b9","year":2021},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2103.06957","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:0e36f2328c1bb1f79d9bc44c183d40fdfc3de2708eb24f907f1050d3592d4679","observation_id":"c6766226-8f8d-4e65-9e52-e38d8370dc02","resolution":{"observed_at":"2026-05-18T19:21:47.436963Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.13950","last_updated":"2022-04-29T08:55:58Z","snapshot_observed_at":"2026-07-06T13:05:00.562422Z","submitted_at":"2022-04-29T08:55:58Z","title":"Active learning BSM parameter spaces","version":1},"cited_work":{"arxiv_id":"2204.13950","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2204.13950","snapshot_observed_at":"2026-07-02T10:26:52.364528Z","title":null,"venue":null,"work_id":"e91b614f-7719-4261-8176-b8d55416f2f2","year":2023},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2204.13950","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:0916454599eed092eb801a7ecb5e37b814fc4c070a7a02dbb45a4c0251c7ff06","observation_id":"cdbee315-cab8-4b31-b7fb-14e41b65531f","resolution":{"observed_at":"2026-05-18T19:21:47.380349Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2404.18653","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Bayesian active search on parameter space: A 95 GeV spin-0 resonance in the (B−L)SSM","venue":null,"work_id":"344e90e9-c8d9-46c2-b9b8-973ac0d89bab","year":2025},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:e8ea2eab4f8bf72feeeab9a3c4ba9cfa5e63a1d85d11b3257af8c97b2bbfeaf8","observation_id":"65768ebd-a104-4d9a-b3d1-e85aa0a1d299","resolution":{"observed_at":"2026-05-18T19:21:47.308530Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07489","last_updated":"2025-07-16T05:04:41Z","snapshot_observed_at":"2026-07-06T21:07:09.584765Z","submitted_at":"2025-04-10T06:46:09Z","title":"Constraining the 3HDM Parameter Space using Active Learning","version":2},"cited_work":{"arxiv_id":"2504.07489","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07489","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Batra, B","venue":null,"work_id":"c58fb4f7-6347-437a-89b1-4108a769ea62","year":2025},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2504.07489","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:f370c1adf16874cd6d52e452e33d46909162018702658a7d30dab1c12632e8af","observation_id":"f71502b6-c23c-488f-93f9-a51bda525b86","resolution":{"observed_at":"2026-05-18T19:21:47.394545Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2508.13912","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Hammad, R","venue":null,"work_id":"bc16830c-63d3-409a-bb77-04493f46a5d5","year":null},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:50c39098ca027ceccc660f04efd5fa933f5cbfef564372db5bbbc27c6c1f8cf5","observation_id":"3cd01750-1ddd-4a16-9bd7-fdc3345dd675","resolution":{"observed_at":"2026-05-18T19:21:47.415549Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.02770","last_updated":"2021-02-02T04:39:40Z","snapshot_observed_at":"2026-07-06T10:38:32.075029Z","submitted_at":"2021-02-02T04:39:40Z","title":"A Living Review of Machine Learning for Particle Physics","version":1},"cited_work":{"arxiv_id":"2102.02770","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2102.02770","snapshot_observed_at":"2026-07-03T19:58:54.496237Z","title":"Feickert and B","venue":null,"work_id":"d5468e17-274c-463f-ae02-82334307f735","year":2021},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2102.02770","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:d71903da3e15871ec3c9e49028312db8dd9b3fb43d8c55a7a451d6a447dfdfe9","observation_id":"e1c640f9-8ff1-4662-902e-1f7c14fba828","resolution":{"observed_at":"2026-05-18T19:21:47.321016Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.01421","last_updated":"2025-04-24T09:57:03Z","snapshot_observed_at":"2026-07-06T14:13:46.912823Z","submitted_at":"2022-11-02T18:27:27Z","title":"Modern Machine Learning for LHC Physicists","version":4},"cited_work":{"arxiv_id":"2211.01421","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2211.01421","snapshot_observed_at":"2026-07-03T19:58:54.821017Z","title":"Modern Machine Learning for LHC Physicists","venue":null,"work_id":"d0d59e15-0a84-4080-851d-db8fcefbb95d","year":2022},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2211.01421","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:bbf8ce43037b6b079ceac95fdb3b8216da0d96c429a0bd2fb64bf530707dae89","observation_id":"23e04b94-eaae-4099-ac84-d464077acc90","resolution":{"observed_at":"2026-05-18T19:21:47.314819Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Hansen and A","venue":null,"work_id":"79f03bb9-3fb1-4023-bbda-0ea25312f951","year":2001},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:7e7b5fa8b91a1dee8c2b51ad0db265a2227de58c26c560d5e3f1fa42798f063d","observation_id":"a55715d0-15ad-4db0-ab0c-71ed7f7a49da","resolution":{"observed_at":"2026-05-18T19:22:50.064065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1604.00772","last_updated":"2023-03-10T09:45:23Z","snapshot_observed_at":"2026-07-06T04:51:38.670553Z","submitted_at":"2016-04-04T08:16:12Z","title":"The CMA Evolution Strategy: A Tutorial","version":2},"cited_work":{"arxiv_id":"1604.00772","doi":"10.48550/arxiv.1604.00772","metadata_source":"pith","pith_arxiv_id":"1604.00772","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The CMA Evolution Strategy: A Tutorial","venue":"cs.LG","work_id":"14b4547d-c2f5-4df0-88d7-c7f931a9cb2d","year":2016},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1604.00772","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:5d72665ee727534c2eb4fd01d18124738b226fdbea4b029dbeafc29545fe7579","observation_id":"8dfd2577-07b5-4f42-b190-cadc8bdabe87","resolution":{"observed_at":"2026-05-18T19:21:47.385099Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:23:10.593752+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:23:10.593752+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.03116","last_updated":"2021-12-16T22:36:33Z","snapshot_observed_at":"2026-08-05T01:08:09.271410Z","submitted_at":"2021-09-07T14:23:56Z","title":"Fog on the horizon: a new definition of the neutrino floor for direct dark matter searches","version":2},"cited_work":{"arxiv_id":"2109.03116","doi":null,"metadata_source":"pith","pith_arxiv_id":"2109.03116","snapshot_observed_at":"2026-07-09T12:16:13.945925Z","title":"New Definition of the Neutrino Floor for Direct Dark Matter Searches","venue":"hep-ph","work_id":"d7910e6b-b068-47f2-bb07-c67d69575c8e","year":2021},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2109.03116","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:740799dabe41ba117478ab64bb18dc53383ebd6b9e0c78b845f36fa883266b61","observation_id":"5fc90a1d-53e7-4d50-acb7-a89799ad6b26","resolution":{"observed_at":"2026-05-18T19:21:47.462803Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.1475","last_updated":"2015-03-09T17:27:28Z","snapshot_observed_at":"2026-08-05T10:38:47.088738Z","submitted_at":"2014-12-03T21:00:11Z","title":"Dark Matter vs. Neutrinos: The effect of astrophysical uncertainties and timing information on the neutrino floor","version":2},"cited_work":{"arxiv_id":"1412.1475","doi":null,"metadata_source":"pith","pith_arxiv_id":"1412.1475","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dark Matter vs. Neutrinos: The effect of astrophysical uncertainties and timing information on the neutrino floor","venue":"hep-ph","work_id":"e5650673-c2c5-415b-a7bb-914fac064eeb","year":2014},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1412.1475","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:b7113d5c4cf04161a7931717bcc92f6ae699ecfe32768185c5043f8a78bca1aa","observation_id":"b35b69e7-d0a2-4e4a-84df-e5217a70ef1c","resolution":{"observed_at":"2026-05-18T19:21:47.457208Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1804.01638","last_updated":"2019-02-27T21:29:12Z","snapshot_observed_at":"2026-08-04T23:24:13.167258Z","submitted_at":"2018-04-05T00:56:40Z","title":"Casting a Wide Signal Net with Future Direct Dark Matter Detection Experiments","version":3},"cited_work":{"arxiv_id":"1804.01638","doi":null,"metadata_source":"pith","pith_arxiv_id":"1804.01638","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Casting a Wide Signal Net with Future Direct Dark Matter Detection Experiments","venue":"hep-ph","work_id":"97ee18eb-7d3a-4f55-9995-5f60f518daba","year":2018},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/1804.01638","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:04a6651de229633d476ed3da3d3f79ce0e89274037af055fa2f74b0afa82ae1f","observation_id":"e5a8fcf1-11a0-4272-9fed-5c0a08725d1b","resolution":{"observed_at":"2026-05-18T19:21:47.364991Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.16987","last_updated":"2025-07-22T19:51:12Z","snapshot_observed_at":"2026-07-31T01:01:21.244894Z","submitted_at":"2025-07-22T19:51:12Z","title":"Beyond the Veil: Charting WIMP Territories at the Neutrino Floor","version":1},"cited_work":{"arxiv_id":"2507.16987","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.16987","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Arcadi, M","venue":null,"work_id":"13c6d412-0b00-4dfa-8614-148afa2e2e7a","year":null},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2507.16987","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:9336464f31fe10f71ae9e146afff24586efb0957fbaa2e7b8448d0ace9fcc763","observation_id":"3d86753e-32ae-458e-858a-8c89d8350b84","resolution":{"observed_at":"2026-05-18T19:21:47.331881Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2008.12587","last_updated":"2020-12-22T08:12:15Z","snapshot_observed_at":"2026-07-06T09:50:54.221387Z","submitted_at":"2020-08-28T11:24:30Z","title":"CYGNUS: Feasibility of a nuclear recoil observatory with directional sensitivity to dark matter and neutrinos","version":2},"cited_work":{"arxiv_id":"2008.12587","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2008.12587","snapshot_observed_at":"2026-07-03T16:18:38.340506Z","title":"Vahsen et al.,Cygnus: Feasibility of a nuclear recoil observatory with directional sensitivity to dark matter and neutrinos,arXiv preprint arXiv:2008.12587(2020)","venue":null,"work_id":"4dedd53c-690d-4cc8-9820-61ccfb344a5f","year":2008},"citing_paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter","version":4},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:02.625794Z"},"links":{"cited_paper":"/paper/2008.12587","citing_paper":"/paper/2509.01677"},"observation_digest":"sha256:3ab4334fc1135857dc09d50ef511afd0a8a29aa640b9c85da16dd7a3f8c2427b","observation_id":"96d8a2ce-52aa-4766-8556-ba44242d5d44","resolution":{"observed_at":"2026-05-18T19:21:47.349029Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.01677","last_updated":"2026-04-24T18:02:24Z","latest_version":4,"primary_category":"hep-ph","snapshot_observed_at":"2026-08-03T03:33:05.617759Z","submitted_at":"2025-09-01T18:00:32Z","title":"Machine Learning in the 2HDM2S model for Dark Matter"},"reference_resolution":{"displayed":62,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":56,"verified_fuzzy":4},"total_outbound_references":62},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 2 inbound Pith citation observations for arXiv:2509.01677."}