{"as_of":"2026-08-10T10:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9de7cbd292ad4db371be0892359cc45d52273e8f379a66755d1af241ae70d75e","coverage":[{"denominator":63,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":63,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T22:04:40.539893Z","state":"measured"},{"denominator":64,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":64,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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":"2026-07-31T23:06:31.697258Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.22753","snapshot_observed_at":"2026-07-31T23:06:31.697258Z","title":"Degradation-modeled multipath diffusion for tunable metalens photography,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.24110","last_updated":"2026-07-27T07:48:02Z","snapshot_observed_at":"2026-08-02T18:38:13.794254Z","submitted_at":"2026-07-27T07:48:02Z","title":"BeyondFusion: Self-Aligned Latent Diffusion for Calibration-Free Infrared Super-Resolution and Infrared-Visible Fusion","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-31T23:06:31.697258Z"},"links":{"cited_paper":"/paper/2506.22753","citing_paper":"/paper/2607.24110"},"observation_digest":"sha256:d5b52cb23a5e873751f4c3c8ad5acba9fb27e28d87edc903fb27b4eb5f08ae6a","observation_id":"da23438d-ad4e-4382-bfe7-ae6ac1d73a15","resolution":{"observed_at":"2026-07-31T23:06:31.697258Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.22753/citation-record","integrity":"/paper/2506.22753/integrity","json":"/paper/2506.22753/citation-record.json","paper":"/paper/2506.22753"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:04:47.546930Z","title":"Multiwavelength achromatic metasurfaces by dispersive phase compensation","venue":null,"work_id":"2c70a843-f289-483c-907c-5f989c8a9325","year":2015},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:34.538571Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:bc2864c33a2b8cc25f8d7ae90785e818ab4b4556f57bf0fe25774c208140fcdf","observation_id":"a94f7705-c560-4b65-86f6-f51c9b7315f6","resolution":{"observed_at":"2026-08-06T22:04:47.650392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:47.288718Z","title":"Diffusercam: lensless single-exposure 3d imaging.Optica, 5(1):1–9, 2017","venue":null,"work_id":"b62f5435-e87d-4e58-879c-c14e1c45a42c","year":2017},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:34.621508Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:d3505d0f387ef00fb0bcb195c9a6f9b2ad66f180158036d995b85f7e541e9ef2","observation_id":"25f5a3e8-fab8-4815-945e-8f1c5a72fea7","resolution":{"observed_at":"2026-08-06T22:04:47.395734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:47.066188Z","title":"Thin on-sensor nanophotonic array cameras","venue":null,"work_id":"da413263-b859-44e2-942d-7a9b55885b94","year":2023},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:34.740142Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:1a67a6f559c079f74280d266a899d89fa00ddb9bfd25852c4a96918cbbe2a81e","observation_id":"bb04b041-3715-40b2-95e8-3ef2026bee41","resolution":{"observed_at":"2026-08-06T22:04:47.136544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:46.965606Z","title":"Pre-trained image processing transformer","venue":null,"work_id":"acd3528f-d5f7-498f-abff-09695fda9cbd","year":2021},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:34.842838Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:da2eddcb0428f1c59f7c3ed4ff7b406389f946e60e4d0f2b9698cf8aa44be2e9","observation_id":"e6fe325c-252a-4ec2-810d-0b5b027a242b","resolution":{"observed_at":"2026-08-06T22:04:47.000337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:46.838063Z","title":"Planar wide-angle-imaging camera enabled by metalens array","venue":null,"work_id":"d7786e21-587d-4174-8ef9-74069977fdf0","year":2022},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:34.965236Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:72da8a50e985334ca4a40f2c0062070c8f2d067f2d4f6b67bed3d6d78985aafc","observation_id":"e2bb0385-9d0f-4625-9c89-8b7fc6ba047c","resolution":{"observed_at":"2026-08-06T22:04:46.874345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:46.693441Z","title":"Activating more pixels in image super- resolution transformer","venue":null,"work_id":"e739d0c6-8b17-4cdb-98c1-ccfcc327d1f5","year":2023},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:35.102939Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:ba4f0ef1e5922cd31a3e4aa0a7cf35f24e3e1def486a55328fd916fbf633f635","observation_id":"0f7544c8-8737-4072-a458-8e7f014713ae","resolution":{"observed_at":"2026-08-06T22:04:46.769740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:46.470293Z","title":"Dual aggregation transformer for image super-resolution","venue":null,"work_id":"399ee0ff-dfc5-41e0-8d3b-ea4882675c40","year":2023},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:35.229721Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:bcd92dc242cad1790fa4483d3266e0ccebe2ab8eb29bd73a24104e8ba2f3d2f8","observation_id":"05282c75-2714-48ac-96da-3cd8a2ae2015","resolution":{"observed_at":"2026-08-06T22:04:46.599586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:46.272725Z","title":"Fast motion deblurring","venue":null,"work_id":"cd334e8b-b935-44b2-8e44-21a4db0c3d23","year":2009},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:35.336598Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:82c3b8689ecf46cfffdaec9611f10914c2c0dd529ca2bd264ec31714414ffcb8","observation_id":"68159e8c-3731-47bb-80f9-eb79ca0cd294","resolution":{"observed_at":"2026-08-06T22:04:46.358956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:35.467040Z","title":"Image quality assessment: Unifying structure and texture similarity","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:35.467040Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:76182728f92849970c41e0b801b13691a9a4b570b745a0b30a92f31da8f6218a","observation_id":"13944c3e-20b6-4ca8-a8c0-2d9af8d77d89","resolution":{"observed_at":"2026-08-06T22:04:35.467040Z","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":"2026-08-06T22:04:35.598514Z","title":"Learning a deep convolutional network for image super-resolution","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:35.598514Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:c8c9fb43e5f48def09161d819ffc42dc9f64dee8c4b40e91d34f736156a6ca40","observation_id":"44530fd5-cf30-484d-bfc1-6dd265b831f4","resolution":{"observed_at":"2026-08-06T22:04:35.598514Z","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":"2026-08-06T22:04:46.084151Z","title":"Fast two-step blind optical aberration correction","venue":null,"work_id":"6e190e3e-ffad-4b6c-b875-5e87103cab7f","year":2022},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:35.728265Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:e5e337ca8383395a28dd526140798b5830b98e0fa10a6bd6602b4fdb1bb01ba7","observation_id":"3418fe1e-35b8-472d-8120-ef9b8eeb60f5","resolution":{"observed_at":"2026-08-06T22:04:46.168271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:45.941309Z","title":"The advantages of metal- enses over diffractive lenses","venue":null,"work_id":"c360511b-6255-4e62-8253-b764423935fd","year":1991},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:35.821547Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:46e3854eb65460127ba82e131f2788cd14b244f2fe440dfc8ab77effa6da8fbb","observation_id":"c2f2c2a8-b285-47f1-9390-90f5a7345ec1","resolution":{"observed_at":"2026-08-06T22:04:45.994066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:45.917481Z","title":"Sunet: Swin transformer unet for image denoising","venue":null,"work_id":"d6076a7d-44ae-4acc-9cc6-730abeede8c6","year":2022},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:35.965774Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:1b8ed438a48bfeadd60c97fd3cf9e4d7f5236fb26d21276cf5dec8df51f0f8eb","observation_id":"79598a42-f11d-4e50-8abf-27ad214343c7","resolution":{"observed_at":"2026-08-06T22:04:45.931802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.06824","last_updated":"2024-02-09T23:09:41Z","snapshot_observed_at":"2026-07-06T17:28:18.945477Z","submitted_at":"2024-02-09T23:09:41Z","title":"Beating bandwidth limits for large aperture broadband nano-optics","version":1},"cited_work":{"arxiv_id":"2402.06824","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.06824","snapshot_observed_at":"2026-08-06T22:04:40.907190Z","title":"Beating bandwidth limits for large aperture broadband nano-optics","venue":"physics.optics","work_id":"6718ea04-6995-4e10-acb4-895247d6c330","year":2024},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:36.058324Z"},"links":{"cited_paper":"/paper/2402.06824","citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:91ee0ca051552e33f1fb39bf8989763ef57041f044db527c5203705f19454710","observation_id":"60d3c5f6-0f28-424c-baf0-b4b25646fa14","resolution":{"observed_at":"2026-08-06T22:04:41.005561Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:36.135567Z","title":"Generative adversarial nets","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:36.135567Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:8189c06eb1b7fc9088205e2a582b267c2a2ce9ea9013dc34bfb9b9ab1aa3ddd8","observation_id":"3469ebff-27bb-4d3b-8233-d63218828848","resolution":{"observed_at":"2026-08-06T22:04:36.135567Z","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":"2026-08-06T22:04:45.798440Z","title":"Reconfigurable metasurfaces towards commercial suc- cess","venue":null,"work_id":"1115bb6f-764a-49ef-9c75-c2ba9ef93b9f","year":2023},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:36.253020Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:cb0fd253fd66e5eaba909121dade53911be0f174e29864d3e08581d279b633c2","observation_id":"09bb50e6-fd98-43a4-97dd-b41df1654804","resolution":{"observed_at":"2026-08-06T22:04:45.845625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:45.669580Z","title":"High-quality computational imaging through simple lenses","venue":null,"work_id":"da8330de-b1ed-48f7-82ab-7a92f8a992e6","year":2013},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:36.340352Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:fb732f6a98a4c4d3fdc93add12a737f82e72fb8e1e2cecf1576332d40ab64ce5","observation_id":"c1e92789-e89e-4497-bcc3-0a8b7d0dcb46","resolution":{"observed_at":"2026-08-06T22:04:45.746712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:36.428141Z","title":"Denoising dif- fusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:36.428141Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:25518047f4c2e5fee09ad9e5bb73a47fc2390b5bb9220e27eb028ef88d3e4410","observation_id":"f4261025-c704-4937-954a-ef3a189d5e2a","resolution":{"observed_at":"2026-08-06T22:04:36.428141Z","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":"2026-08-06T22:04:36.517933Z","title":"Lora: Low-rank adaptation of large language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:36.517933Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:f14297600ab9f1b5188d0ae545dd50701f53a8fde1e2b4c27a9392a57f20a981","observation_id":"dad0aa6f-45ec-44ba-96d7-0e627137046f","resolution":{"observed_at":"2026-08-06T22:04:36.517933Z","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":"2026-08-06T22:04:36.606938Z","title":"Musiq: Multi-scale image quality transformer","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:36.606938Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:b55da1c4cc3c5d659443547e9cf743535c66231e7de1bfe54b01002a3b4f7e65","observation_id":"2be12b1a-8c0d-44c6-9990-c5fa4f169642","resolution":{"observed_at":"2026-08-06T22:04:36.606938Z","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":"2026-08-06T22:04:45.540919Z","title":"Musiq: Multi-scale image quality transformer","venue":null,"work_id":"ae17eb56-6d38-4960-b03f-42c128cd725f","year":2021},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:36.685779Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:45b67d1be9917cfbe3fa7ae79ff594540ca1e8f2c8e873ecb6830c576d10a839","observation_id":"f80b6959-4187-40d4-a83d-254df70d5b21","resolution":{"observed_at":"2026-08-06T22:04:45.588591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:45.461998Z","title":"Flatnet: Towards photorealistic scene reconstruction from lensless measure- ments","venue":null,"work_id":"b5c6e994-981b-48da-8630-54fb5861578b","year":1934},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:36.764684Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:75d1ba9a4c701251606c33e9da364caf9b4dc2ee9094082aa3f224f6a3b7a261","observation_id":"bf145eed-aa90-4960-90d6-692451ef4608","resolution":{"observed_at":"2026-08-06T22:04:45.500903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:45.334378Z","title":"Dielectric metalens: properties and three-dimensional imaging applications","venue":null,"work_id":"4c99dada-1b19-4961-8d5e-487853684841","year":2021},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:36.836937Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:9ac7dbeb2576f97943699fe8d814cccf95e3df67eda43e0843111c8753ebab40","observation_id":"397c86b2-14bb-4c05-8257-c86e00f44f48","resolution":{"observed_at":"2026-08-06T22:04:45.379474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:36.929047Z","title":"Efficient frequency domain-based trans- formers for high-quality image deblurring","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:36.929047Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:5b1f19ec1ee0ba6bd89d31eba4118e4231dcc2f26b5181a0af24daa82d4d0135","observation_id":"d2b23530-7436-42f5-aad4-ee67d15873b1","resolution":{"observed_at":"2026-08-06T22:04:36.929047Z","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":"2026-08-06T22:04:45.213995Z","title":"Fast image deconvolution using hyper-laplacian priors","venue":null,"work_id":"3d7d4d2d-e4e7-4435-bfbb-567f8ba5933a","year":2009},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:37.009742Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:6ad2b9092d64b83761070abeafadce4d0426fea5a0323f52ce4099334fef4d58","observation_id":"535edc76-141a-4f55-9259-c0a9dac91ef1","resolution":{"observed_at":"2026-08-06T22:04:45.266719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.04591","last_updated":"2025-03-25T05:29:55Z","snapshot_observed_at":"2026-07-06T20:02:30.984571Z","submitted_at":"2024-12-05T20:11:48Z","title":"Aberration Correcting Vision Transformers for High-Fidelity Metalens Imaging","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.04591","snapshot_observed_at":"2026-08-06T22:04:37.090109Z","title":"Metaformer: High-fidelity metalens imaging via aberration correcting transformers","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:37.090109Z"},"links":{"cited_paper":"/paper/2412.04591","citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:fb321abc757924c68aeb09466cbe588ba87661a3c3a9ca6ac704d4b6c181028a","observation_id":"c38cd615-a831-4810-b4db-9c589f8f97aa","resolution":{"observed_at":"2026-08-06T22:04:37.090109Z","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":"2026-08-06T22:04:45.096514Z","title":"Srdiff: Single image super-resolution with diffusion probabilistic models","venue":null,"work_id":"57d55eec-18ed-4c53-ab00-6b9b84f401f2","year":2022},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:37.172865Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:b578080e29675d3d4318df4247135783295675fe7a2d2dfd2e4d4a989defcbe3","observation_id":"88cfb07c-c5d5-4b8d-9e76-472008deb3fe","resolution":{"observed_at":"2026-08-06T22:04:45.158796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:44.984337Z","title":"Universal and flexible optical aberration correction us- ing deep-prior based deconvolution","venue":null,"work_id":"4192fe42-a391-46be-81fd-80cad083a7d9","year":2021},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:37.268877Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:f25818e893674c6849e4506513d661716f7312cbdc5990df213329e004178a5b","observation_id":"70b94aef-10f4-4649-89ca-c5560b33a3e0","resolution":{"observed_at":"2026-08-06T22:04:45.042508Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:44.882843Z","title":"Ultracompact multifunctional metalens visor for augmented reality displays","venue":null,"work_id":"6e105bbf-a7f1-492b-a997-2f5510bf299a","year":2022},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:37.346670Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:90d86d1dada2e08ccb609b150619da03bed09302a5e8fa6b2aa592d6aa8cd066","observation_id":"781f60c4-7adc-4361-931e-966ff609ac92","resolution":{"observed_at":"2026-08-06T22:04:44.940115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:44.768736Z","title":"Effi- cient and explicit modelling of image hierarchies for image restoration","venue":null,"work_id":"099550ed-5603-4352-8878-e237bbed8909","year":2023},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:37.425360Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:685128adf1557ee0d3137a004933da1026c9ae5f8ebd72c4bc4e9f06ffa9f486","observation_id":"2109a91c-5a41-44d5-8ef3-1b2b0f69c86e","resolution":{"observed_at":"2026-08-06T22:04:44.815045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:44.654420Z","title":"Meta-optics achieves rgb-achromatic focusing for virtual reality","venue":null,"work_id":"54e8da8c-8b0d-4615-8e08-91bc56d058a1","year":2021},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:37.517781Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:8e8ded7d2f0a382942c3b3f548ac189bed14ad378ec22de14f6758083bf826d2","observation_id":"aa5b7228-a066-4cb5-8334-a1be1d434741","resolution":{"observed_at":"2026-08-06T22:04:44.702562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:37.603521Z","title":"Swinir: Image restoration us- ing swin transformer","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:37.603521Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:be940000fc2e1d9d1e82e0a537f116d40f155203f7a25c5488ec3d708f681e7e","observation_id":"81e975f0-1d4a-4b12-9add-3fbb453e3736","resolution":{"observed_at":"2026-08-06T22:04:37.603521Z","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":"2026-08-06T22:04:44.489446Z","title":"Dielectric gradient metasurface optical ele- ments","venue":null,"work_id":"6fb26b29-17a3-4014-b724-a6371f5061ba","year":2014},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:37.683971Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:7fd5415f57979d64cd63f9f37d1c75f5c4f9b484ddceb932d236a3dda3d0467e","observation_id":"c3c95561-0989-4111-9612-8973de7a9b96","resolution":{"observed_at":"2026-08-06T22:04:44.534338Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:44.351144Z","title":"De- blurdinat: A lightweight and effective transformer for image deblurring","venue":null,"work_id":"adb9fef4-e0e0-429e-bd6b-e9dd63950ee4","year":2024},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:37.745816Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:d9175626d192269fa9c026fdf417a2b06395ef2975b96b0bc63a1ae498e3bddf","observation_id":"9e561177-6379-41f0-bc7b-c91181b4b7ff","resolution":{"observed_at":"2026-08-06T22:04:44.429123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:44.190071Z","title":"Transformer for single im- age super-resolution","venue":null,"work_id":"43cea0ac-349e-42a3-9457-bc1f00868e28","year":2022},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:37.886669Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:65b9813be6b3ce7d6d642bac5a23aa800d10e06d5f861533582e62ecfdcd802a","observation_id":"0cc2d55f-9a9c-4b20-bd3e-55104a789383","resolution":{"observed_at":"2026-08-06T22:04:44.280907Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:44.043707Z","title":"Potential applications of metamateri- als to computational imaging","venue":null,"work_id":"6f837e35-6be0-4197-99dc-3cb99493586b","year":2020},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:37.947339Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:ea436c8c4822d9150aa810f4bc01716a679267fd84bd8f3d5e2f739fa19d9ab4","observation_id":"5ce4f831-c3ef-4d27-91ad-1c9ee39fb699","resolution":{"observed_at":"2026-08-06T22:04:44.124571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:43.924312Z","title":"completely blind","venue":null,"work_id":"d332049b-b2ac-47bf-9e96-88c6d94d0ede","year":2013},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:38.035353Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:d8a8f74bffa562219ce434c645b91cf191182cd29008d5e5d06885ef81394201","observation_id":"08428de1-e000-4d9c-beda-036b66278da6","resolution":{"observed_at":"2026-08-06T22:04:43.969260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:43.779045Z","title":"Spectral diffusercam: lensless snapshot hyper- spectral imaging with a spectral filter array","venue":null,"work_id":"e262df53-b29f-4b0d-9913-6cda89487d4f","year":2020},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:38.115182Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:560ec8f93b104704f626fc0eb0bbf89d87ce96a6d3fe9682ce637227918d61a4","observation_id":"5ea28952-53d3-4c34-9d41-dddca039ab4e","resolution":{"observed_at":"2026-08-06T22:04:43.841916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:38.183945Z","title":"High-resolution image syn- thesis with latent diffusion models, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:38.183945Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:6b6b1c798574f4100e7d0acd0943d84a59a8ca0c65a95201e569f806a0761abb","observation_id":"4294e047-3c9e-43e9-b245-aa64bd228d0b","resolution":{"observed_at":"2026-08-06T22:04:38.183945Z","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":"2026-08-06T22:04:38.249163Z","title":"Image super- resolution via iterative refinement","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:38.249163Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:17a1b5e1929cdf661d811bf20776a3591bd1b32c4025e7bc2bc8db26957312eb","observation_id":"3338fa6b-5e34-40ec-8203-b042551f14f8","resolution":{"observed_at":"2026-08-06T22:04:38.249163Z","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":"2026-08-06T22:04:38.394264Z","title":"Adversarial diffusion distillation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:38.394264Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:309f066e661510cd8c6a041325aae4fdd15094c8e0b5b54a740de58d69424dd5","observation_id":"745a6de0-a74a-4b1a-893e-c969508efad5","resolution":{"observed_at":"2026-08-06T22:04:38.394264Z","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":"2026-08-06T22:04:43.650419Z","title":"A machine learning approach for non-blind image deconvolution","venue":null,"work_id":"997f4ee9-ed83-459c-89b7-377a0bc0e521","year":2013},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:38.454640Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:d969e1e798f32c1c4476cb23024e5f4af8d84e030030035304279f9339dae49d","observation_id":"210904b6-3613-477b-95a1-6afadf88bb5e","resolution":{"observed_at":"2026-08-06T22:04:43.691717Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:43.539964Z","title":"Improving mag- netic resonance imaging with smart and thin metasurfaces","venue":null,"work_id":"71d50ad2-14c3-4aa3-be5b-e4e86dbe3445","year":2021},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:38.563078Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:7f3143f57914dac7dbc10230ae3d734890fb5d5c5c9e25f8023bbc9df2f62890","observation_id":"93d1673d-e4f7-47de-94d6-369b531b8df6","resolution":{"observed_at":"2026-08-06T22:04:43.588536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:43.373501Z","title":"Thin obser- vation module by bound optics (tombo): concept and ex- perimental verification","venue":null,"work_id":"9cc84b6c-efd4-41e2-b170-9757f84154d4","year":null},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:38.629831Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:2e0caeea99a96019fe38ead30a310b90d4478b6312bac0a82154865ae5ebdf2e","observation_id":"5220c746-d55b-4e37-831d-888d72a18379","resolution":{"observed_at":"2026-08-06T22:04:43.453718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:43.250473Z","title":"Ntire 2017 challenge on sin- gle image super-resolution: Methods and results","venue":null,"work_id":"28f36736-647d-4e50-a607-ebf7755f34ae","year":2017},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:38.748105Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:958fc21f745ba4d0ec5fd8693bc7877a26c9ad60748f75faa5970d5e8efab541","observation_id":"017ec272-6668-4f13-b8a7-f272cecc4001","resolution":{"observed_at":"2026-08-06T22:04:43.315264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:43.128894Z","title":"Ntire 2017 challenge on single image super-resolution: Methods and results","venue":null,"work_id":"cc2e1abf-de65-4b4b-8966-a2a02b46f675","year":2017},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:38.836737Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:12383e58b5c3d202d8f866f23c5b0a75209890e9072e832800d1b3979c3ea493","observation_id":"a4ae9a69-0e2f-42c9-8543-1a52d36375c8","resolution":{"observed_at":"2026-08-06T22:04:43.173201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:43.007916Z","title":"Neural nano-optics for high-quality thin lens imag- ing","venue":null,"work_id":"ca5abe0a-7bd1-413e-b5c8-0969244072b4","year":2021},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:38.942391Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:448237dd2531e6aaa44b9ec8e6e43e508d1df9015883595ff8155141d22472e9","observation_id":"3faa3305-0252-4c3e-881e-2a66f9a4f24f","resolution":{"observed_at":"2026-08-06T22:04:43.066381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.00633","last_updated":"2024-03-31T10:01:20Z","snapshot_observed_at":"2026-08-07T02:30:54.299879Z","submitted_at":"2024-03-31T10:01:20Z","title":"IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions","version":1},"cited_work":{"arxiv_id":"2404.00633","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.00633","snapshot_observed_at":"2026-08-06T22:04:40.692502Z","title":"IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions","venue":"cs.CV","work_id":"b5772f08-9d11-4f45-b994-6930c530425c","year":2024},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:39.051359Z"},"links":{"cited_paper":"/paper/2404.00633","citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:c83338424be098408f3b3b50bd4cce831c62a70780f0c23d6802220f6c46bae5","observation_id":"5db303f2-7905-46cc-813f-13b9b4dd0a81","resolution":{"observed_at":"2026-08-06T22:04:40.775104Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:42.839644Z","title":"Picam: An ultra-thin high per- formance monolithic camera array","venue":null,"work_id":"f391ca7e-c4dd-4381-852b-d58c8fe6bbe4","year":2013},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:39.145463Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:380a13338f13fab80e1ea07d438df860404fd29fe40f56eefb70fed981c9b989","observation_id":"72426059-5c50-40d7-a53b-55ffb4ef49f9","resolution":{"observed_at":"2026-08-06T22:04:42.900439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:39.286895Z","title":"Ex- ploring clip for assessing the look and feel of images","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:39.286895Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:1bd5fa3f954b90bc53a4f8cddc0592c2e37d70d6c0ee9481b9b7a73894f9d297","observation_id":"1c4cd146-e025-4a94-83b0-660afb769343","resolution":{"observed_at":"2026-08-06T22:04:39.286895Z","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":"2026-08-06T22:04:42.656590Z","title":"A broadband achro- matic metalens in the visible","venue":null,"work_id":"2e154063-cb7a-459f-821b-4d70506f4dd8","year":2018},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:39.406345Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:38530d80e483f9532e6a3dc2da877a4ba0e83a8c7decc797740b4707dd51fab5","observation_id":"fb90265b-fb37-4bc5-aa90-f64c858ca691","resolution":{"observed_at":"2026-08-06T22:04:42.733074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:39.494751Z","title":"Image quality assessment: from error visibility to structural similarity","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:39.494751Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:1ba462c9d3230e5b50309b2b5082c32567bfc2bf5eed0cbf95eede61562e7373","observation_id":"bab9b5d4-5062-4da4-9370-c1759472dded","resolution":{"observed_at":"2026-08-06T22:04:39.494751Z","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":"2026-08-06T22:04:42.452900Z","title":"Uformer: A general u-shaped transformer for image restoration","venue":null,"work_id":"009f1e61-21b0-4627-a5c7-18ca2ef0ec61","year":2022},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:39.595542Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:3e1d247902e65384f1b3fec0efaf63735d5638276d0a90568a3455c130bd2b0b","observation_id":"4e694730-21a5-497d-a5fe-cf1f9ac42db7","resolution":{"observed_at":"2026-08-06T22:04:42.548550Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:42.280723Z","title":"A silicon photonics computational lensless active-flat-optics imaging system.Scientific Reports, 10(1):1689, 2020","venue":null,"work_id":"867b224c-0aa8-4dfb-a039-3a19edee397d","year":2020},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:39.702974Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:8efa2c42f98e35b96f3af5ff0d8773383e2dbd0faf33afee76c2dbc5b0c5b241","observation_id":"456aec61-de54-4716-b46a-5fa3724e6b4f","resolution":{"observed_at":"2026-08-06T22:04:42.372579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:42.133118Z","title":"Extrapolation, interpolation, and smooth- ing of stationary time series","venue":null,"work_id":"097979bf-e3b2-46c7-8f59-3ad0b300b277","year":1964},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:39.785396Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:57c7d10ef2d71835745e54b573cda0f9b0c9eaad80e40762450ab70819c15844","observation_id":"7fa0b2e4-fdf1-46b3-a79b-61c6fd81b94d","resolution":{"observed_at":"2026-08-06T22:04:42.217103Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:41.985443Z","title":"Seesr: Towards semantics- aware real-world image super-resolution","venue":null,"work_id":"9faab2c5-663d-42ed-96b8-8bd9db66de65","year":2024},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:39.868858Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:61118c257172e2c96105700e08c62aaacf9f6066732a4be743aee7d9126a756e","observation_id":"f75d757a-c8dc-4c32-bf7f-2ec50dc48271","resolution":{"observed_at":"2026-08-06T22:04:42.049626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:41.850534Z","title":"One-step effective diffusion network for real-world image super-resolution","venue":null,"work_id":"8f0c2d07-cdcf-4abe-87fe-2391997eca10","year":2025},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:39.975304Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:2d33e91a3b3242ff2c06d20594e3328194f0901dccd31d345241f03418e76e1e","observation_id":"41cb5909-c984-449b-9968-b746d0ee1564","resolution":{"observed_at":"2026-08-06T22:04:41.910205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:41.677467Z","title":"Unnatural l0 sparse representation for natural image deblurring","venue":null,"work_id":"480f10fc-df65-4a35-9e1b-7fba19f71cd5","year":2013},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:40.061441Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:6f054d4021d8afb3a3e6a514084a0e044c1d52fa6ebb0cec57e6d86f211df57d","observation_id":"fe7b4761-4f13-492e-bfd6-9364b6b5dcb3","resolution":{"observed_at":"2026-08-06T22:04:41.757911Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:41.495308Z","title":"Maniqa: Multi-dimension attention network for no-reference image quality assessment","venue":null,"work_id":"1e0fad9f-5f5a-4b69-97b1-8d6c6a12c035","year":2022},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:40.186233Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:b8867b2187db8885dde0d39d6dc9730a4eb75b63bb1758623fe7628ee1a73b3e","observation_id":"43ad33cf-3386-4af6-97af-a2c46890516a","resolution":{"observed_at":"2026-08-06T22:04:41.616552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:41.293183Z","title":"Printable nanocomposite met- alens for high-contrast near-infrared imaging","venue":null,"work_id":"630d084c-fb9e-4beb-9630-db12444e8c88","year":2021},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:40.292037Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:48c41c3ab4213d2c7caa909147a010af01a7a5baab8b8f84ec7aa1c87bd4d76d","observation_id":"ef9533a0-e8b1-4b9f-8176-8da5e5190c09","resolution":{"observed_at":"2026-08-06T22:04:41.417405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T22:04:41.109826Z","title":"Flat optics with designer metasurfaces","venue":null,"work_id":"ed26d3c4-eb62-4120-a036-1a5dca7ba804","year":2014},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:40.368211Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:6b4b4c50afa2f3f3bcf2bead50af40b29a738fdca3bc543af403c0993d5f49d1","observation_id":"8ba9e4e3-7ba7-4bb6-9729-fd28c5b31475","resolution":{"observed_at":"2026-08-06T22:04:41.219910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.17058","last_updated":"2024-09-25T16:15:21Z","snapshot_observed_at":"2026-07-06T19:21:56.712367Z","submitted_at":"2024-09-25T16:15:21Z","title":"Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.17058","snapshot_observed_at":"2026-08-06T22:04:40.458404Z","title":"Degradation-guided one-step im- age super-resolution with diffusion priors","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:40.458404Z"},"links":{"cited_paper":"/paper/2409.17058","citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:19a0b08224826b46a31809153a77eb2b931131c441743d8412a60d8684ef1737","observation_id":"4d96d21d-3da0-4ce6-8ff1-38f99204c0a8","resolution":{"observed_at":"2026-08-06T22:04:40.458404Z","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":"2026-08-06T22:04:40.539893Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:40.539893Z"},"links":{"citing_paper":"/paper/2506.22753"},"observation_digest":"sha256:47186f058d9247a2d1f14572f99f7db9cbc83043483109cfe8c816c05063dba4","observation_id":"c3b3dfe0-d242-4637-a435-8a5424267924","resolution":{"observed_at":"2026-08-06T22:04:40.539893Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.22753","last_updated":"2025-06-28T04:48:37Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T21:56:24.326973Z","submitted_at":"2025-06-28T04:48:37Z","title":"Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography"},"reference_resolution":{"displayed":63,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":16,"verified_exact":2,"verified_fuzzy":45},"total_outbound_references":63},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2506.22753."}