{"as_of":"2026-08-18T14:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0ac1f6d07042abb4700d3b58e6ec47f409b180532d8f3abccb5ca2fb81d609cf","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T15:43:16.363993Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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":"2026-08-07T15:26:30.931168Z","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":"2026-08-07T15:26:42.637553Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"cited_work":{"arxiv_id":"2502.01338","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.01338","snapshot_observed_at":"2026-08-07T15:26:42.637553Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","venue":"stat.ML","work_id":"0bee0856-8422-4137-8178-2b08e4a9f49f","year":2025},"citing_paper":{"arxiv_id":"2505.15351","last_updated":"2025-05-21T10:22:55Z","snapshot_observed_at":"2026-08-15T11:38:12.882195Z","submitted_at":"2025-05-21T10:22:55Z","title":"Phasebook: A Survey of Selected Open Problems in Phase Retrieval","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T15:26:30.931168Z"},"links":{"cited_paper":"/paper/2502.01338","citing_paper":"/paper/2505.15351"},"observation_digest":"sha256:f42cbb1529ba8e497104d1c09a64a83d09db09fa78505f95dab26c8c696db2ef","observation_id":"71e0da4b-bef2-4b0e-a271-ec46e58c4940","resolution":{"observed_at":"2026-08-07T15:26:42.703673Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.01338/citation-record","integrity":"/paper/2502.01338/integrity","json":"/paper/2502.01338/citation-record.json","paper":"/paper/2502.01338"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T15:43:16.598407Z","title":"Investigation of composite materials using slm-based phase retrieval","venue":null,"work_id":"bf45bc9c-15cd-48a8-9248-796be8292384","year":2013},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.288631Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:29d0692630d047450b6187419770510892577cd22e7ba5fe7022ce23ff904da6","observation_id":"7780961b-42d0-4dda-9236-c8ac6ed96528","resolution":{"observed_at":"2026-08-09T15:43:16.601510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.590187Z","title":"On signal reconstruc- tion without phase","venue":null,"work_id":"79da2d18-f7fb-49f3-95c8-631c28c96b41","year":2006},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.292665Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:b233033cfb5d5033bf3236a825849e722e5e8267a46a9efde5b7fd6fa954fbc5","observation_id":"60312615-14d3-4bf7-a900-477d1a72c8cb","resolution":{"observed_at":"2026-08-09T15:43:16.593166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.580886Z","title":"On lipschitz analysis and lipschitz synthesis for the phase retrieval problem","venue":null,"work_id":"765ea3d3-016c-4a72-86e7-98410e8f5542","year":2016},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.296082Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:91e8055a71414772070a282793f380927c8f10e33ccafd8a2396b51df3286833","observation_id":"161d6b64-f533-40d7-8a61-87ff77ba3690","resolution":{"observed_at":"2026-08-09T15:43:16.584802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08833","last_updated":"2025-04-29T09:04:05Z","snapshot_observed_at":"2026-08-17T15:38:27.705775Z","submitted_at":"2023-11-15T10:22:03Z","title":"Phase retrieval with semi-algebraic and ReLU neural network priors","version":2},"cited_work":{"arxiv_id":"2311.08833","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.08833","snapshot_observed_at":"2026-08-09T15:43:16.389350Z","title":"Phase retrieval with semi-algebraic and ReLU neural network priors","venue":"eess.SP","work_id":"5e62ee37-fd49-4912-abe8-7b15f844a9cd","year":2023},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.299156Z"},"links":{"cited_paper":"/paper/2311.08833","citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:d1534a0e4b6a90b68d1412e0754d0835a57421716b3613bb5aa0fa22621f80a6","observation_id":"97f4411d-69fd-40f8-b7f3-eddb1b107d0b","resolution":{"observed_at":"2026-08-09T15:43:16.394553Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.572618Z","title":"Diffractive imaging for periodic samples: retrieving one-dimensional concentration profiles across microfluidic channels","venue":null,"work_id":"a2f26102-a873-46ff-83d9-f0cd6103d107","year":2007},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.303034Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:fa61a414487983aec1a9d0ac9b02ce83fe62cb5f46be51fef4ac0460cbf219a1","observation_id":"b6345b1c-2711-4902-8408-8ccfe409bafc","resolution":{"observed_at":"2026-08-09T15:43:16.575631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.564847Z","title":"The mnist database of handwritten digit images for machine learning research","venue":null,"work_id":"a33e92bd-c2e3-4a54-aebb-3356d381e481","year":2012},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.306243Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:834098ada2c19921bc4ac3bd484dd7322cc4cda604be555fd4aff693741e7fca","observation_id":"d4582f07-b4c2-4e58-bee6-62f7cfffc49e","resolution":{"observed_at":"2026-08-09T15:43:16.567818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.556365Z","title":"Learning to synthesize: robust phase retrieval at low photon counts","venue":null,"work_id":"ad816696-4a02-455a-a758-45cf32b929db","year":2020},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.309780Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:d60a68e1ebd90ce4021251298db008dcc1124cf68a6ef13c937d13665dade3cd","observation_id":"ea819682-30eb-435f-819e-6b8491632521","resolution":{"observed_at":"2026-08-09T15:43:16.559348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.547990Z","title":"Phase retrieval: From computational imaging to machine learning: A tutorial","venue":null,"work_id":"4a3b0faa-ea03-4a2d-acfa-90a53a3f57a9","year":2023},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.312841Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:a9dd0e2c5ee3b4c60e28af11e69b2b6a6b4d8af5ec079d03b9695163aa023461","observation_id":"8b5d8257-700c-4dad-bb63-fec5f4946f4b","resolution":{"observed_at":"2026-08-09T15:43:16.550936Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.539355Z","title":"Sparse phase retrieval from short-time fourier measure- ments","venue":null,"work_id":"37fd1ef7-0328-41b5-98b9-2b4962c84671","year":2014},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.315949Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:4eabd44b1967dd431b7c112928e96f56edc3a9317a50a600b7a69496590b1b13","observation_id":"1cd3af2c-5020-4af0-add4-8221422caf25","resolution":{"observed_at":"2026-08-09T15:43:16.542799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.530861Z","title":"Phase retrieval: Uniqueness and stability","venue":null,"work_id":"c21d8f19-91b3-4b4e-8a98-2560614687fc","year":2020},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.318772Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:485bf59753002bbeece965e1a4124defda6e550dfe475d349a01b69dceb5c7c1","observation_id":"ce6297a0-4c65-4e18-b419-b6b20fb06bd9","resolution":{"observed_at":"2026-08-09T15:43:16.533880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.522207Z","title":"Phase retrieval under a generative prior","venue":null,"work_id":"8c2aecfd-80be-48ce-9acd-4ad64a181823","year":2018},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.321539Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:5904e524aa0504ea8f040e2e577ff7ba33e439c4ea8f467fbd1521e02b77493e","observation_id":"6985a16f-7552-443e-ad13-b75dfc3c9e15","resolution":{"observed_at":"2026-08-09T15:43:16.525390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.513206Z","title":"Quantum tomography under prior information","venue":null,"work_id":"3885fbfa-bfc7-44a2-b7ba-0eee370cf52b","year":2013},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.324375Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:a15df887ae5bc66b80a2780ec88c65aa04212390c304fe0cf46a7a73f18a9ea1","observation_id":"c5d54a99-b34e-4de7-863e-7df5f7824232","resolution":{"observed_at":"2026-08-09T15:43:16.516480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.504898Z","title":"Lower lipschitz bounds for phase retrieval from locally supported measurements.Applied and Computational Harmonic Analysis , 47(2):526–538, 2019","venue":null,"work_id":"5129f81a-6c02-48e4-a4fa-138d96186748","year":2019},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.327494Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:e9caf605b4bf7379a2608036dfe140a64224e1525b2d2c36cc79648f4f4a898c","observation_id":"f6da0721-195e-4cbf-94d0-f2e7485336e6","resolution":{"observed_at":"2026-08-09T15:43:16.508033Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.496631Z","title":"Sparse phase retrieval: Uniqueness guarantees and recovery algorithms","venue":null,"work_id":"136db326-ee40-41e7-8b95-2cdeac9a7e4a","year":2017},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.330422Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:b90ea84edfcb8d626ccf0da3a38a1fe53b204102b5385fbabdfb8706a728304f","observation_id":"0491e694-cf9d-4c02-80a1-09f29ae3469d","resolution":{"observed_at":"2026-08-09T15:43:16.499673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.333179Z","title":"Development of hybrid optical sensor based on deep learning to detect and classify the micro-size defects in printed circuit board","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.333179Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:17f83755ff8799f381936db70b39b94fbceb6a74c3839897b51cd1a9818c478b","observation_id":"f76fa4d6-e892-4d79-92c5-551ee3b995fc","resolution":{"observed_at":"2026-08-09T15:43:16.333179Z","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":"2026-08-09T15:43:16.483134Z","title":"Characterization of surface defects using a phase retrieval technique in a high-power laser system","venue":null,"work_id":"3600cf21-e2d6-4955-ba34-5cdce19a7ca6","year":2022},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.335978Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:63d8aea4ee02b30a4fd59a18eeba3ee8a0f40a93c0e0eee8e0e45f08a0b17078","observation_id":"7c1b3293-41af-495c-b16a-080fed80b2b9","resolution":{"observed_at":"2026-08-09T15:43:16.486372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.474587Z","title":"On the limited memory bfgs method for large scale optimization","venue":null,"work_id":"eba4ef07-2e64-44a4-aa98-81d2bde3e048","year":1989},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.338943Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:6a8b20adc71a8d557d53b9cda0169141a4ddd63b21f8cd9598d418c4fbbfc796","observation_id":"06ee0283-9661-400b-bb47-f7ab1fa8e773","resolution":{"observed_at":"2026-08-09T15:43:16.477625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.466172Z","title":"Phase retrieval in crystallography and optics","venue":null,"work_id":"4d732e4d-a3b3-45e6-8705-d54c0cc91e38","year":1990},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.341731Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:a46285a9f44b1e56ba0018a5b5d7e0424ea067a51699d98dbb345554ac30bb0e","observation_id":"7628ba5e-97fc-414b-b5f5-67bda490d6a8","resolution":{"observed_at":"2026-08-09T15:43:16.469369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.458234Z","title":"Actinic imaging and evaluation of phase structures on extreme ultraviolet lithography masks","venue":null,"work_id":"e9deb05c-4aa2-4e16-b742-a8406c8ed113","year":2010},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.344493Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:9fd6ad3577a1a3a6eb88ef09d5ca5a7c2b332c58a41b304af5c7b79730f127d5","observation_id":"8e441a4f-c2f0-44b6-aa26-0692a1684a5e","resolution":{"observed_at":"2026-08-09T15:43:16.461176Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.449865Z","title":"Fundamentals of speech recognition","venue":null,"work_id":"f7673be5-079f-41b6-b791-e10afdeeef96","year":1999},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.347270Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:c386e32617dcecf5cbba6e5d46db15e618c5eb9dbfea55323387f6ded2268a79","observation_id":"36d5729a-d805-433e-afcd-e2ff8273d527","resolution":{"observed_at":"2026-08-09T15:43:16.452911Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.441044Z","title":"Phase recovery and holographic image reconstruction using deep learning in neural networks","venue":null,"work_id":"57c3a845-f022-404f-b1a5-952c75ed656e","year":2018},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.350443Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:f6509b6b6c2aaa0460bc7601fc2a4d475c8808e8674e8072b248fc7b83f40ec8","observation_id":"c802a330-3aa4-4535-810a-8a79a0c23390","resolution":{"observed_at":"2026-08-09T15:43:16.444154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.432303Z","title":"Ptychography and related diffractive imaging methods","venue":null,"work_id":"b0534fb3-9afa-4291-9f12-cffa634bb4d1","year":2008},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.352968Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:bc5b5dfa53e5533992678e2c55f49d123c5f8fbe482049a084f674a42fedd228","observation_id":"4f57fbe1-9a95-4620-901a-12c2ea2e2ba9","resolution":{"observed_at":"2026-08-09T15:43:16.435045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.423770Z","title":"Sparse pursuit and dictionary learning for blind source separation in polyphonic music recordings","venue":null,"work_id":"88558f96-f946-4606-acac-a68853288165","year":2021},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.355535Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:2ce5165611aaeb879b827563b03ccfa8914904cca1a59e326fe1e014e3e18a06","observation_id":"3435a167-2865-4a41-98c3-f675ea10ba56","resolution":{"observed_at":"2026-08-09T15:43:16.426870Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.414910Z","title":null,"venue":null,"work_id":"a4e310f5-1561-4c20-a591-a354b3c660a7","year":2024},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.358435Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:4b7e6f5931a3cdfb35346c5449d6934034380de5820854b7082c59f07e445cfb","observation_id":"6a1a7f2e-cd35-40b6-b7e7-caec0da942d8","resolution":{"observed_at":"2026-08-09T15:43:16.418106Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.406144Z","title":"Lensless computational imaging through deep learning","venue":null,"work_id":"7d93a819-b2b2-4bb9-9d01-5a695f772571","year":2017},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.361174Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:155bc5a3c2d6075cd9d06fd5de46b98c014fe9da574ed764b21d6d006119e662","observation_id":"96c54a77-c578-405d-89da-448ee4ef98cf","resolution":{"observed_at":"2026-08-09T15:43:16.409538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T15:43:16.363993Z","title":"Some tendencies in the tikhonov regularization of ill-posed problems","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-09T15:43:16.363993Z"},"links":{"citing_paper":"/paper/2502.01338"},"observation_digest":"sha256:f54408f35f7ccd29f36960fc27ce3bf4e507c1529e6aaa74a2b9a264898283dc","observation_id":"da26b073-2838-48bb-bac3-d9ab8d468f7e","resolution":{"observed_at":"2026-08-09T15:43:16.363993Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2502.01338","last_updated":"2025-02-03T13:26:55Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-17T15:38:47.760524Z","submitted_at":"2025-02-03T13:26:55Z","title":"PtyGenography: using generative models for regularization of the phase retrieval problem"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":1,"verified_fuzzy":22},"total_outbound_references":26},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2502.01338."}