{"as_of":"2026-08-08T05:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:54e9b93045d4711ebac69621aa994a8124e6fbf3557b3be928e557ec81852be8","coverage":[{"denominator":47,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":47,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:52:24.737912Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:32:18.608360Z","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":"2026-08-06T19:32:18.815179Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"cited_work":{"arxiv_id":"2506.04357","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.04357","snapshot_observed_at":"2026-08-06T19:32:18.815179Z","title":"Optical Physics-Based Generative Models","venue":"physics.optics","work_id":"7db6dac2-df31-4107-a550-dfebcb2d7130","year":2025},"citing_paper":{"arxiv_id":"2507.05400","last_updated":"2025-07-09T14:26:35Z","snapshot_observed_at":"2026-08-06T19:25:06.615690Z","submitted_at":"2025-07-07T18:36:30Z","title":"Strategic Alignment Patterns in National AI Policies","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T19:32:18.608360Z"},"links":{"cited_paper":"/paper/2506.04357","citing_paper":"/paper/2507.05400"},"observation_digest":"sha256:6e1291f4bead9daed38f652c12e83fb1d0899e40f08028bb2191e10e2b493208","observation_id":"6c873bdc-b9d5-4132-a9c4-9aea04aca642","resolution":{"observed_at":"2026-08-06T19:32:18.820794Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.04357/citation-record","integrity":"/paper/2506.04357/integrity","json":"/paper/2506.04357/citation-record.json","paper":"/paper/2506.04357"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:52:24.517548Z","title":"A style-based generator architecture for generative adversarial networks","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.517548Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:88211791c559f1590cd5a9d98c3df000f7ad66008b941b65b30c980f39c797ca","observation_id":"f92883b4-b716-4f79-b540-2d6486402db1","resolution":{"observed_at":"2026-08-07T10:52:24.517548Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.02369","last_updated":"2023-11-04T10:48:14Z","snapshot_observed_at":"2026-08-05T08:11:37.070669Z","submitted_at":"2023-11-04T10:48:14Z","title":"TACNET: Temporal Audio Source Counting Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.02369","snapshot_observed_at":"2026-08-07T10:52:24.522332Z","title":"Tacnet: Temporal audio source counting network.arXiv preprint arXiv:2311.02369, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.522332Z"},"links":{"cited_paper":"/paper/2311.02369","citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:34319ca61694c6099819b4222f0ac4863c425830c3d3ce194acaed6c6c00ce73","observation_id":"04a6310d-7abd-4346-aed8-1ef67b291462","resolution":{"observed_at":"2026-08-07T10:52:24.522332Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:52:24.526666Z","title":"Language models are few-shot learners.Advances in Neural Information Processing Systems, 33:1877–1901, 2020","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.526666Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:358b2356e757edcd6a0c52417c318e5af64229180dad41061912346951db8818","observation_id":"10500176-1f29-499d-b7a5-9b053a456c62","resolution":{"observed_at":"2026-08-07T10:52:24.526666Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:52:24.530947Z","title":"Highly accurate protein structure prediction with alphafold.Nature, 596(7873):583–589, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.530947Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:125e1d3b7108c6b1e3e931d444db180d4d0b78e3724bcd0f99a99967871af819","observation_id":"9f6040e2-cb8f-499b-ade7-d8450ac524d5","resolution":{"observed_at":"2026-08-07T10:52:24.530947Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:52:25.481380Z","title":"Learning to simulate complex physics with graph networks","venue":null,"work_id":"9aeca292-b447-4fae-a5d5-010147af0963","year":2020},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.535043Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:a61bfdb6a594b05ec24a8f93a7048e4f3f314d3c95724cee296f302c42be0c23","observation_id":"f0761866-78e6-4b68-9425-192cbbc00c9b","resolution":{"observed_at":"2026-08-07T10:52:25.487066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:52:25.464605Z","title":"Dynamic control of spontaneous emission using magnetized insb higher-order- mode antennas.Journal of Physics: Photonics, 6(3):035011, 2024","venue":null,"work_id":"4b2f8b98-9f2a-4c67-9966-ad4bc21a3f2e","year":2024},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.539063Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:ea9c778d2608aa8e59275dcea12454872edd28c38d613097450f1b2bd17f493e","observation_id":"326790d8-3cf7-46b8-9326-6ebce15d9077","resolution":{"observed_at":"2026-08-07T10:52:25.469299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:52:25.447829Z","title":"Deep unsupervised learning using nonequilibrium thermodynamics","venue":null,"work_id":"c33e1374-9a6b-4711-894f-e9c0af593404","year":2015},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.543742Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:acf382372288f8255e687c292f5333ac6e08e1947de456f92fef299eff8006f8","observation_id":"2d5e5454-0e5e-4e5b-ae57-111d680c1408","resolution":{"observed_at":"2026-08-07T10:52:25.453765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:52:24.547743Z","title":"Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.547743Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:60f6762034405b4ced277fc3f9815e5b97385ceb2ebf8e6ec6cc551f2151d77a","observation_id":"18532e7f-5019-446f-a558-74d3d8ac3c62","resolution":{"observed_at":"2026-08-07T10:52:24.547743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.11178","last_updated":"2022-10-20T00:29:38Z","snapshot_observed_at":"2026-07-06T13:55:19.848757Z","submitted_at":"2022-09-22T17:26:58Z","title":"Poisson Flow Generative Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.11178","snapshot_observed_at":"2026-08-07T10:52:24.557444Z","title":"Poisson flow generative models.arXiv preprint arXiv:2209.11178, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.557444Z"},"links":{"cited_paper":"/paper/2209.11178","citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:cd33ae61ef23f7c079afcbb16e7e9ebc45b9620ebf12da077a0cca1d4fc92eba","observation_id":"c07944b5-6e81-4195-9f0a-6aa7245861c9","resolution":{"observed_at":"2026-08-07T10:52:24.557444Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:52:25.419806Z","title":"Generative adversarial nets.Advances in Neural Information Processing Systems, 27:2672– 2680, 2014","venue":null,"work_id":"9761b5c8-49a7-4c6f-9f71-dba7c9aa4951","year":2014},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.561584Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:c321e1202d7e4659a762c56dd2f5b5b4759bd87e86dc91a6bf57c7994c358a9c","observation_id":"816dd508-91cc-4e28-b11f-5103e691e5bd","resolution":{"observed_at":"2026-08-07T10:52:25.425431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-07T10:52:24.565976Z","title":"Auto-encoding variational bayes.arXiv preprint arXiv:1312.6114, 2013","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.565976Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:5075b540b919ec3b24fe5bdea1d6a3b26d1447b1fe5e1c4ba262f96fab9b3f20","observation_id":"28a191ac-edcf-4fc6-8f61-79e5456e0b88","resolution":{"observed_at":"2026-08-07T10:52:24.565976Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.02637","last_updated":"2023-04-05T17:58:16Z","snapshot_observed_at":"2026-08-02T12:52:52.102959Z","submitted_at":"2023-04-05T17:58:16Z","title":"GenPhys: From Physical Processes to Generative Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.02637","snapshot_observed_at":"2026-08-07T10:52:24.570237Z","title":"Genphys: From physical processes to generative models.arXiv preprint arXiv:2304.02637, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.570237Z"},"links":{"cited_paper":"/paper/2304.02637","citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:406ba94ed8bc8d75e579806b8803d453304b62f1dd02c93af9bd8f3ecec90944","observation_id":"b13febe8-4267-410e-9b5f-e9c4629b202d","resolution":{"observed_at":"2026-08-07T10:52:24.570237Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:52:25.403997Z","title":"Deep learning meets nanophotonics: A generalized accurate predictor for near fields and far fields of arbitrary 3d nanostructures.Nano Letters, 20(1):329–338, 2022","venue":null,"work_id":"8675f3db-318a-4585-854e-3659adcf5a92","year":2022},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.574328Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:20d28228a37faa67465c5c8921f2f088bc65dbc082103dcfcf26bc96c2dda3d1","observation_id":"e4f5f655-e510-4e83-81fb-31d587e7be47","resolution":{"observed_at":"2026-08-07T10:52:25.409121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:52:25.386560Z","title":"Free-space optical spiking neural network.PloS one, 19(12):e0313547, 2024","venue":null,"work_id":"6f36a72f-7285-45c0-bf95-c9d951523a3d","year":2024},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.579177Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:2cbeb08604e12ac7e5c58497f023bd7770c397e6b08795315a34f1fe81b01518","observation_id":"96b09caa-2fcc-491c-bbdf-4bf64f1944ee","resolution":{"observed_at":"2026-08-07T10:52:25.393190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.19398","last_updated":"2025-02-26T18:46:45Z","snapshot_observed_at":"2026-08-07T17:45:19.465129Z","submitted_at":"2025-02-26T18:46:45Z","title":"Nontrapping Tunable Topological Photonic Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.19398","snapshot_observed_at":"2026-08-07T10:52:24.583072Z","title":"Nontrapping tunable topological photonic memory.arXiv preprint arXiv:2502.19398, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.583072Z"},"links":{"cited_paper":"/paper/2502.19398","citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:c4c0f1ac053a58faeac285ec7a7226353bc08467fe96c410aecb9e654aa6b5bd","observation_id":"2f4b07f7-4df3-4b84-a2b3-f5f3f9b2c46b","resolution":{"observed_at":"2026-08-07T10:52:24.583072Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.08337","last_updated":"2024-08-15T11:27:01Z","snapshot_observed_at":"2026-07-06T19:01:15.196625Z","submitted_at":"2024-08-15T11:27:01Z","title":"Training Large-Scale Optical Neural Networks with Two-Pass Forward Propagation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.08337","snapshot_observed_at":"2026-08-07T10:52:24.587674Z","title":"Training large-scale optical neural networks with two-pass forward propagation.arXiv preprint arXiv:2408.08337, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.587674Z"},"links":{"cited_paper":"/paper/2408.08337","citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:e12f650c248a00903e86c3690e9cb5708fd71a55e06adb2a873554001cf4d91b","observation_id":"90f26abd-75b1-4585-8065-72731133f625","resolution":{"observed_at":"2026-08-07T10:52:24.587674Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.19692","last_updated":"2025-04-28T11:41:52Z","snapshot_observed_at":"2026-08-07T15:58:38.109696Z","submitted_at":"2025-04-28T11:41:52Z","title":"All-Optical Doubly Resonant Cavities for ReLU Function in Nanophotonic Deep Learning","version":1},"cited_work":{"arxiv_id":"2504.19692","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.19692","snapshot_observed_at":"2026-08-07T10:52:24.929013Z","title":"All-Optical Doubly Resonant Cavities for ReLU Function in Nanophotonic Deep Learning","venue":"physics.optics","work_id":"b1449e5d-f18f-4761-942a-29ddad7871cb","year":2025},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.591977Z"},"links":{"cited_paper":"/paper/2504.19692","citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:48746666cdc389b7fdd1d39c95eeaaf86dc2f8587241de2552d3ad7d07cfd97d","observation_id":"c472891f-d9e4-46fb-ae23-0cb93c0d6b51","resolution":{"observed_at":"2026-08-07T10:52:24.933906Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:52:25.369523Z","title":"Optical physics based generative models","venue":null,"work_id":"4c4738c8-d338-431a-8099-752825ea685a","year":2024},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.596274Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:deadae6e4291e270a59df0beb1e19391633ff053701d560ab60ed6a1ff2424fd","observation_id":"96914d8c-7b9e-4b7e-9229-d981e874c484","resolution":{"observed_at":"2026-08-07T10:52:25.374112Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.03606","last_updated":"2021-03-05T11:15:47Z","snapshot_observed_at":"2026-08-04T07:08:03.676274Z","submitted_at":"2021-03-05T11:15:47Z","title":"Unbalanced minibatch Optimal Transport; applications to Domain Adaptation","version":1},"cited_work":{"arxiv_id":"2103.03606","doi":null,"metadata_source":"pith","pith_arxiv_id":"2103.03606","snapshot_observed_at":"2026-08-07T10:52:24.907859Z","title":"Unbalanced minibatch Optimal Transport; applications to Domain Adaptation","venue":"cs.LG","work_id":"529fe701-5e6b-42d8-a2f6-f90255107b5a","year":2021},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.600274Z"},"links":{"cited_paper":"/paper/2103.03606","citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:11696ad9385163b3c1265a91ca1b9da12bfc7d802530e420c2035b80753610aa","observation_id":"1b009995-c3c6-4dae-a253-81c284dfdeae","resolution":{"observed_at":"2026-08-07T10:52:24.913140Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.14148","last_updated":"2020-09-29T16:43:38Z","snapshot_observed_at":"2026-07-06T09:59:53.503386Z","submitted_at":"2020-09-29T16:43:38Z","title":"Unbalanced Sobolev Descent","version":1},"cited_work":{"arxiv_id":"2009.14148","doi":null,"metadata_source":"pith","pith_arxiv_id":"2009.14148","snapshot_observed_at":"2026-08-07T10:52:24.884287Z","title":"Unbalanced Sobolev Descent","venue":"cs.LG","work_id":"ea159ef1-1b1f-45b3-a619-593e0a91e2dd","year":2020},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.604730Z"},"links":{"cited_paper":"/paper/2009.14148","citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:118cd9b29300568fc774bec8d2cc0a54b650349ef8ae94e5b0f8d073b5be5ca1","observation_id":"7f677818-6c82-46be-8ee9-4bab856a72e9","resolution":{"observed_at":"2026-08-07T10:52:24.890293Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.09863","last_updated":"2019-05-23T18:39:26Z","snapshot_observed_at":"2026-07-06T07:55:05.948249Z","submitted_at":"2019-05-23T18:39:26Z","title":"Accelerating Langevin Sampling with Birth-death","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.09863","snapshot_observed_at":"2026-08-07T10:52:24.609057Z","title":"Accelerating langevin sampling with birth-death.arXiv preprint arXiv:1905.09863, 2019","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.609057Z"},"links":{"cited_paper":"/paper/1905.09863","citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:2f7591b5b6522ce81c6ae26e40bc368314e984e08df76c99a8aa6585d0f36234","observation_id":"8089b0ae-c6c8-47aa-bc7f-ce26c2d108cb","resolution":{"observed_at":"2026-08-07T10:52:24.609057Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:52:25.351887Z","title":"Cambridge University Press, 2016","venue":null,"work_id":"b5c28c9b-26c1-4130-836b-7ccd495babab","year":2016},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.613207Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:97da2cb7b86ac5c9265a28319e8838984a10be8b2e1994a82d32dbeae5be1b61","observation_id":"0bc8db6f-7f6b-4e0b-80f9-2aa64cbc765d","resolution":{"observed_at":"2026-08-07T10:52:25.356782Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:52:25.333847Z","title":"Cambridge University Press, 7 edition, 2013","venue":null,"work_id":"8221e8e3-48dd-4bb1-91f3-558a5d28c325","year":2013},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.617404Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:34c8d4d81f619fcd0a9e3bc6de592480d4700c5faa4f0fab6a9a311d4761f2d4","observation_id":"1b1f5d81-f434-4b9b-925e-c12666b5edc2","resolution":{"observed_at":"2026-08-07T10:52:25.339444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:52:25.315693Z","title":"Green’s function for the lossy wave equation.Revista Brasileira de Ensino de Física, 30:1302.1–1302.5, 2008","venue":null,"work_id":"dbfd74b7-ea54-4620-8a4c-c6007b398d07","year":2008},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.621494Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:d6e51148d69f2ec65724e7762913db6158fc104e3824a25db6e39ea19ad851bc","observation_id":"17f26080-151d-4781-8b25-a351d07046c0","resolution":{"observed_at":"2026-08-07T10:52:25.320665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:52:25.301151Z","title":"Cambridge University Press, 7 edition, 1999","venue":null,"work_id":"14c886c8-b30f-4320-9092-af8c1610f44d","year":1999},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.625475Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:c57d014bacf48c91c06c2d1e619d8e7f04d665390df09ecabe082d2f89ef26f0","observation_id":"4e2cd2ee-e7f9-417d-99f6-cbdf2902689c","resolution":{"observed_at":"2026-08-07T10:52:25.305746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:52:25.285762Z","title":"On the partial difference equations of mathematical physics","venue":null,"work_id":"fc8bca60-6cf5-4247-81aa-fe032828eb20","year":1967},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.629919Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:19c4871f97e54810c7dbcaeb9ca583f113e81e3455d668d132f2b7abdaad39ff","observation_id":"22f03508-e61c-4717-a3a4-565e3d924948","resolution":{"observed_at":"2026-08-07T10:52:25.290527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:52:25.268496Z","title":"Cambridge University Press, 1999","venue":null,"work_id":"3f90d63d-47ee-4145-ab5c-2b7f312abd47","year":1999},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.635349Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:d36652dacbea7b21c3821c4e53f41e65d227ad15f49dd6cf2bb140b2cea3f81a","observation_id":"0484060b-867b-48a2-9d96-890b8bcb50f4","resolution":{"observed_at":"2026-08-07T10:52:25.273081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.13456","last_updated":"2021-02-10T18:17:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-11-26T19:39:10Z","title":"Score-Based Generative Modeling through Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.13456","snapshot_observed_at":"2026-08-07T10:52:24.641496Z","title":"Score-based generative modeling through stochastic differential equations.arXiv preprint arXiv:2011.13456, 2020","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.641496Z"},"links":{"cited_paper":"/paper/2011.13456","citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:1369467c4d5e4359db5ab5f65a11a68edae58c1690a73bfb795f4fb49f951b24","observation_id":"27407997-3742-4c34-89f2-897f55b2387c","resolution":{"observed_at":"2026-08-07T10:52:24.641496Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:52:25.252404Z","title":"Attention is all you need.Advances in Neural Information Processing Systems, 30:5998–6008, 2017","venue":null,"work_id":"0f974fb1-af9b-4849-aedd-26e4de784a50","year":2017},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.649699Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:0c5d68673feaf490e4f441d225302f141908154b75295e8c50243120e3550f3b","observation_id":"2cb42b8b-2865-4374-aced-64a59386874e","resolution":{"observed_at":"2026-08-07T10:52:25.258033Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:52:24.654864Z","title":"U-net: Convolutional networks for biomedical image segmentation","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.654864Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:471d1cd152d3fd559c7c751a32755fb6738379ed43541d6cbf2b877e6a252f80","observation_id":"bbddca6a-acc6-4b05-a3ad-75b6bb72b28f","resolution":{"observed_at":"2026-08-07T10:52:24.654864Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:52:25.219907Z","title":"Practical bayesian optimization of machine learning algorithms","venue":null,"work_id":"0648242e-8214-4d35-86c5-b001fffaa6b6","year":2012},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.659766Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:2c56d1f8b7135688a3bd7a4b3eb7683f9e9eabfbaa579744b1bf2e3aafebb7f4","observation_id":"88fb2a0c-210d-493d-b185-f157fdb0d660","resolution":{"observed_at":"2026-08-07T10:52:25.224248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:52:25.205004Z","title":"Jax: composable transforma- tions of python+numpy programs","venue":null,"work_id":"b75b6c86-2e62-4c01-b274-6e3c638bde43","year":2018},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.665056Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:bdf16155984b23f18621ac59dc7265a495ed8b5326c59474bc8b107bc8870f3c","observation_id":"36820aef-9edd-40b0-a3fb-311c4b6539a1","resolution":{"observed_at":"2026-08-07T10:52:25.209503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:52:24.669918Z","title":"Neural ordinary differential equations","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.669918Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:0d6802c0e1374cc3596c51ae906b6f29778697daa80387d330991f2907b1d36d","observation_id":"635eea35-b1a9-4d89-a7e0-654de29ded65","resolution":{"observed_at":"2026-08-07T10:52:24.669918Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.01367","last_updated":"2018-10-22T17:56:45Z","snapshot_observed_at":"2026-07-06T07:05:41.488600Z","submitted_at":"2018-10-02T16:56:37Z","title":"FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.01367","snapshot_observed_at":"2026-08-07T10:52:24.674596Z","title":"Ffjord: Free-form continuous dynamics for scalable reversible generative models.arXiv preprint arXiv:1810.01367, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.674596Z"},"links":{"cited_paper":"/paper/1810.01367","citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:1f3d85c77db9de472a7f7aef0f9e0b9c0c862071e9823ecc048108ad27bffcec","observation_id":"4848176d-9caa-4ec1-8232-e0fb5d0d7914","resolution":{"observed_at":"2026-08-07T10:52:24.674596Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.04265","last_updated":"2023-02-10T16:45:02Z","snapshot_observed_at":"2026-07-06T14:49:48.724079Z","submitted_at":"2023-02-08T18:58:02Z","title":"PFGM++: Unlocking the Potential of Physics-Inspired Generative Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.04265","snapshot_observed_at":"2026-08-07T10:52:24.681026Z","title":"Pfgm++: Unlocking the potential of physics-inspired generative models.arXiv preprint arXiv:2302.04265, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.681026Z"},"links":{"cited_paper":"/paper/2302.04265","citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:d6bf48a8f1af10c87fd371cc814dad2fee918e7e8322a6f26a446fc724744333","observation_id":"26488ff3-b7d3-4423-ab2a-d2905dd0fbe4","resolution":{"observed_at":"2026-08-07T10:52:24.681026Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:52:25.178478Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in Neural Information Processing Systems, 30, 2017","venue":null,"work_id":"1e8a68b7-30e9-4f5a-a29d-c0eafb85571c","year":2017},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.686047Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:20e952fd840b630ff3658e803604ca927b6867f0f92091339879b3ef1367db42","observation_id":"cf08bc46-ce01-4092-8a0d-4feeb620760b","resolution":{"observed_at":"2026-08-07T10:52:25.184360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:52:25.161560Z","title":"A kernel two-sample test.The Journal of Machine Learning Research, 13:723–773, 2012","venue":null,"work_id":"b2b1ae5b-ce5b-4489-a3f0-28ef110fbc1c","year":2012},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.690693Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:930007b1dd0ad2f06b5adb32101185f37c19e83fd467eb8f6a0fbdbedfeab66d","observation_id":"2be964a2-c8a2-408a-9fa2-f0f9c30d421e","resolution":{"observed_at":"2026-08-07T10:52:25.166424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.00364","last_updated":"2022-10-11T13:20:30Z","snapshot_observed_at":"2026-07-06T13:16:16.926712Z","submitted_at":"2022-06-01T10:03:24Z","title":"Elucidating the Design Space of Diffusion-Based Generative Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.00364","snapshot_observed_at":"2026-08-07T10:52:24.694872Z","title":"Elucidating the design space of diffusion-based generative models.arXiv preprint arXiv:2206.00364, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.694872Z"},"links":{"cited_paper":"/paper/2206.00364","citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:1f11c35c706ce3b7045cd0f4740ef868354dffd545c6a14acdbcff6146390354","observation_id":"50edf7b7-e3cd-47db-8893-c1606108d82d","resolution":{"observed_at":"2026-08-07T10:52:24.694872Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:52:24.699586Z","title":"Gradient-based learning applied to document recognition.Proceedings of the IEEE, 86(11):2278–2324, 1998","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.699586Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:7d0a46f895112652109144214ab3e9f34e366e33ddee906f3a48de8cab0abdc2","observation_id":"b2d794fa-14da-467c-92ec-0f70ec1f42ed","resolution":{"observed_at":"2026-08-07T10:52:24.699586Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:52:25.134680Z","title":"Visualizing data using t-sne.Journal of Machine Learning Research, 9:2579–2605, 2008","venue":null,"work_id":"fa06b2cf-44e5-40d6-b55e-a29ab832551b","year":2008},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.704196Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:8823ef7bcf25aeaa93054324a86661db34641dbda1d871922fd0861f1acb674d","observation_id":"a95c9c72-075f-4517-a485-a7ecb01bc140","resolution":{"observed_at":"2026-08-07T10:52:25.139798Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.01357","last_updated":"2023-04-05T09:40:05Z","snapshot_observed_at":"2026-08-06T11:05:16.118576Z","submitted_at":"2021-06-01T17:34:27Z","title":"Diffusion Schr\\\"odinger Bridge with Applications to Score-Based Generative Modeling","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.01357","snapshot_observed_at":"2026-08-07T10:52:24.708826Z","title":"Diffusion schrödinger bridge with applications to score-based generative modeling.arXiv preprint arXiv:2106.01357, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.708826Z"},"links":{"cited_paper":"/paper/2106.01357","citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:4dcf42ec5070746cdba5a178c04f2acdadca433faa3285d2f4320400255bf1d8","observation_id":"24db8641-db66-405b-87d9-a868ec0c2fef","resolution":{"observed_at":"2026-08-07T10:52:24.708826Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:52:25.119787Z","title":"Learning approach to optical tomography.Optica, 2(6):517–522, 2015","venue":null,"work_id":"5db5f2e4-cfaa-4254-b81f-13544f51c835","year":2015},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.713919Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:48405c072f1308725663b5ff0e7d70b8357ae03af7bfff41c07d16445af80691","observation_id":"77185826-5e8c-4a13-b8a2-f52c61e20eed","resolution":{"observed_at":"2026-08-07T10:52:25.124186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:52:25.105386Z","title":"Photonics for artificial intelligence and neuromorphic computing.Nature Photonics, 15(2):102–114, 2021","venue":null,"work_id":"c1cefee5-fb62-4a8c-b96e-db9c19e8e82f","year":2021},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.718641Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:c928646c9de8b079d0ff49fa3f74e01aaef22f5661d0f21d2e4c1d7fce06df45","observation_id":"2b8fc164-c768-4265-8dc0-09fb5664974a","resolution":{"observed_at":"2026-08-07T10:52:25.109365Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:52:25.091001Z","title":"Inference in artificial intelligence with deep optics and photonics.Nature, 588(7836):39–47, 2020","venue":null,"work_id":"3428d79a-6fc1-44a0-af6d-a689f7a8443f","year":2020},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.723665Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:279df09d806f600811766bdc74411d30a2a080bdcf65acdba5a166be1aded1d0","observation_id":"7192dcee-622b-4ac5-8cd6-e80fa6281f74","resolution":{"observed_at":"2026-08-07T10:52:25.096143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:52:25.075150Z","title":"All-optical machine learning using diffractive deep neural networks.Science, 361(6406):1004–1008, 2018","venue":null,"work_id":"bb3c3b80-043e-40d2-929f-6617b7ac4da3","year":2018},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.728483Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:bf850b12d96d1b16e74ee15e99caf4894d5ddc2100ac65ce7ddb5c08813e2f23","observation_id":"fb576110-bd44-47bb-a1dd-c82d5609f818","resolution":{"observed_at":"2026-08-07T10:52:25.080728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:52:25.056902Z","title":"Spatiotemporal light control with active metasurfaces.Science, 364(6441), 2019","venue":null,"work_id":"9bb5b051-4601-42e7-844f-c77ade8fb083","year":2019},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.733050Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:fbd0c742e3deef50eae138723e202a646662191db0e7f5fbe72a17110c96bc6c","observation_id":"6b1931cd-347a-4a5a-a741-843dbd114360","resolution":{"observed_at":"2026-08-07T10:52:25.062820Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:52:25.041250Z","title":"0\", \"6\", and","venue":null,"work_id":"23778461-0577-42a1-85d9-4b861efbfc0e","year":null},"citing_paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T10:52:24.737912Z"},"links":{"citing_paper":"/paper/2506.04357"},"observation_digest":"sha256:883d5aaba745777f5eb13a7f847c886d1f8c66bac65ac02c192cec25b8944c7a","observation_id":"8ac5625c-db03-4c0c-920c-ace53cc0d7d8","resolution":{"observed_at":"2026-08-07T10:52:25.045641Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.04357","last_updated":"2025-06-04T18:19:21Z","latest_version":1,"primary_category":"physics.optics","snapshot_observed_at":"2026-08-07T10:41:47.224578Z","submitted_at":"2025-06-04T18:19:21Z","title":"Optical Physics-Based Generative Models"},"reference_resolution":{"displayed":47,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":19,"verified_exact":3,"verified_fuzzy":24},"total_outbound_references":47},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2506.04357."}