{"as_of":"2026-08-06T19:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a121cb1707f1c1ae3fae79eb8ebef46e94ab17efaf004e778b694b774d0fac04","coverage":[{"denominator":40,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":40,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-21T23:14:20.370343Z","state":"measured"},{"denominator":40,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":40,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":[],"links":{"evidence":"/evidence","html":"/paper/2508.04832/citation-record","integrity":"/paper/2508.04832/integrity","json":"/paper/2508.04832/citation-record.json","paper":"/paper/2508.04832"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Image super-resolution via sparse representation","venue":null,"work_id":"127ac72d-a524-46ab-9951-b63ece89109a","year":2010},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:484dfeefddd908bdbb15732c23ccce66b67fb0677671780e06961580561d66e4","observation_id":"4a647f7f-c000-42d3-8b86-95ef20ad2c81","resolution":{"observed_at":"2026-05-21T23:14:26.301535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Coil sensitivity encoding for fast mri","venue":null,"work_id":"5ee06aab-e9aa-45a5-8b84-7856c60bf94a","year":1998},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:d3d1d667d6a24f60abf26a669974d72dd8076c65ebf008af153bdf2731125dde","observation_id":"bf33921b-2b16-44ef-b647-d48fab5976f4","resolution":{"observed_at":"2026-05-21T23:14:26.311977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Single-pixel imaging via compressive sampling","venue":null,"work_id":"618fa378-dc3e-440d-97c8-d1851c099b77","year":2008},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:fc26a558fe849e9c22ba5a0c117a3b1ce2ef830f722c1bfc0fef5786ca7a9467","observation_id":"134bf0c8-4f4c-4255-acd3-f96cd8a51708","resolution":{"observed_at":"2026-05-21T23:14:26.306566Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Improving compressive imaging recovery via measurement augmentation","venue":null,"work_id":"295ec18d-605c-441d-8442-ef856401e7d4","year":2025},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:4bb8c59f4fa4cfd5e90eaa447a8a2f7098cf0b699698a1e1d1604741d3007178","observation_id":"c644ca5d-d04d-4def-857f-d7315b895b03","resolution":{"observed_at":"2026-05-21T23:14:26.294348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Matrix conditioning and nonlinear optimization","venue":null,"work_id":"52d4aa83-2c2a-4a03-a575-5caa04a8a53a","year":1978},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:52923d28d4ba4d6e5c37efcbd05c9473df2b1d8cfd708063c02e51cfe3b6186a","observation_id":"7b75469b-5646-452b-a749-5bc76cbd4180","resolution":{"observed_at":"2026-05-21T23:14:26.328072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Least squares optimization with l1-norm regularization","venue":null,"work_id":"9b481781-2aa3-4aa0-b6aa-da749a5506ca","year":2005},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:c4856cebccd6599a9abb3d4f3a2d5642f31148e67af0fbbbf536a608cef169f6","observation_id":"5fbea26a-1bca-442f-9c5a-5a9c5166d04f","resolution":{"observed_at":"2026-05-21T23:14:26.309120Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Tikhonov regularization and total least squares","venue":null,"work_id":"afe2fff2-0a39-43c7-be54-98ab34ffae99","year":1999},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:ed5712e7efc4300c38224a1570490a8dd588801d8a48d33b8c87a9693b51d61b","observation_id":"7144b5fc-3066-4992-8321-6096ab2d1ef8","resolution":{"observed_at":"2026-05-21T23:14:26.281992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Edge-preserving and scale-dependent properties of total variation regularization","venue":null,"work_id":"c0952ccf-b39a-43cf-8e5f-89aa327cfbef","year":2003},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:e188b5bbb0eeaa67ab35d1077dc9a32eb07f136487f20ec7d8ff78555f52425f","observation_id":"7883b65c-7176-4dec-b415-2eee37d5faaf","resolution":{"observed_at":"2026-05-21T23:14:26.275066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A fast iterative shrinkage-thresholding algorithm for linear inverse problems","venue":null,"work_id":"eea05ecd-05bf-4b2e-ae3b-c16e83969b5b","year":2009},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:6d8c9762d77b3b3175560b09a9ced19473085719bb5a2e84c482a5e1231d14d4","observation_id":"377a2a2e-5dba-49a9-ad8c-a669cb942357","resolution":{"observed_at":"2026-05-21T23:14:26.314931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"5bbbd616-fe01-4ded-9fc4-df1d8e7a6772","year":2011},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:93d4393cf4d17a3d30e006c8e9146d1f871647ffc3a3e10fcdd43512c7418c5c","observation_id":"b0fec247-e385-4207-90f4-ed53578cda64","resolution":{"observed_at":"2026-05-21T23:14:26.288177Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Plug-and-play priors for model based reconstruction","venue":null,"work_id":"cf31ad89-4205-4b6c-9734-b515ed6d41e6","year":2013},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:3cbbc61908beb504ce860ade37c8947c53ed5d5a2b3dbdb7a458b47bd52b8fb1","observation_id":"859853d1-9e2c-47f7-8ae5-c272d6635f32","resolution":{"observed_at":"2026-05-21T23:14:26.335485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The little engine that could: Regularization by denoising (red)","venue":null,"work_id":"34e78d41-aaf5-4417-bb2d-107563819001","year":2017},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:2b1110878154ce2d3f952ab5010d70a91cefb8bcaa9402c411e4585dbf4f3be4","observation_id":"e5e8c2c6-b68b-4943-8377-09019dc652cd","resolution":{"observed_at":"2026-05-21T23:14:26.260063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deep learned non-linear propagation model regularizer for compressive spectral imaging","venue":null,"work_id":"d0bb7d3c-891b-4dc3-b49e-16112b1a06ca","year":2024},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:0c227024c66bcec5735ef6486ddecaa38bfd1f1d44ec1f26f2a0d9808fa5c62f","observation_id":"b5b53d91-64fd-472e-b59f-2020c11c3fcf","resolution":{"observed_at":"2026-05-21T23:14:26.320587Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Efficient preconditioners for optimality systems arising in connection with inverse problems","venue":null,"work_id":"287764cb-826c-49a7-8384-d14374bc3237","year":2010},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:c6cfb92d17713b586e08d4323071f852771c4dd1922b1f64781cbe2d8d51725e","observation_id":"4fcdf756-6e7f-4556-9f3c-1d62b4dfa4c1","resolution":{"observed_at":"2026-05-21T23:14:26.333037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A precondi- tioner for a primal-dual newton conjugate gradient method for compressed sensing problems","venue":null,"work_id":"d0d1b3de-0dbb-4fcc-adb7-8ad66636f884","year":2015},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:bddbe5760914a598e1e447b7575296e701d5f8aa1589073c413d890b61ec0ac3","observation_id":"65e1ad7d-c983-4521-919b-649436147d29","resolution":{"observed_at":"2026-05-21T23:14:26.330219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Conjugate-gradient preconditioning methods for shift-variant pet image reconstruction","venue":null,"work_id":"a002413b-f99a-4a34-9f1e-7bbdbe04f052","year":1999},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:c87769547879a80d3bc97d9cf82c42f78c7d3f8084ca6edfa4d7ea454ac88f12","observation_id":"1e705064-339c-444d-be68-56c0e557c053","resolution":{"observed_at":"2026-05-21T23:14:26.325831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Polynomial preconditioners for regularized linear inverse problems","venue":null,"work_id":"3acb8e6c-8ad9-4ce3-8330-af711fe6fb5e","year":2024},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:45e040d5a1c555ac798107afb4a8ce435ebe4513390939264104025142b7b205","observation_id":"0930d8f8-6b15-4b8c-8233-73e622f3fda6","resolution":{"observed_at":"2026-05-21T23:14:26.291516Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"On the origins of linear and non-linear preconditioning","venue":null,"work_id":"b775a9cb-8e9f-499f-81d8-9923e46c57c9","year":2017},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:c366f17a10eea9435d8e15772bbd2dae5566d2e59b4a483e580e8973bb8ae7df","observation_id":"a963b4bf-fdcc-4724-8216-19dce0374a0c","resolution":{"observed_at":"2026-05-21T23:14:26.274730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning preconditioners for inverse problems","venue":null,"work_id":"b6a6d631-5cec-462e-9e4c-7b569520db0d","year":2024},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:a9fb7e4efd47283428859b0b046cbfcff68080836a3f46765ed8faee38dacbea","observation_id":"0b4778dd-269f-47b1-bfbf-329d3de6bd64","resolution":{"observed_at":"2026-05-21T23:14:26.317781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Distilling the knowledge in a neural network","venue":null,"work_id":"56e05747-2f0c-4362-9dc1-5d73daed26f0","year":2015},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:962fa10505f81dc236b7b34dc4e31cf4e3cacf6a89f1ce65e04ae50b69e0d75f","observation_id":"e4c464e0-d381-442c-88a9-3b96d95bf13e","resolution":{"observed_at":"2026-05-21T23:14:26.271008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.17898","last_updated":"2025-01-29T03:49:21Z","snapshot_observed_at":"2026-07-06T20:28:04.863224Z","submitted_at":"2025-01-29T03:49:21Z","title":"Distilling Knowledge for Designing Computational Imaging Systems","version":1},"cited_work":{"arxiv_id":"2501.17898","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.17898","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Distilling knowledge for designing computational imaging systems","venue":null,"work_id":"8fa6c6ac-89f8-467d-95f0-802d2d3e9618","year":2025},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"cited_paper":"/paper/2501.17898","citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:264634494863e9d81352386614be8bc132ce157c318f9cd886f125f5ecd11631","observation_id":"5a6d959b-15a5-44ec-930b-f1c44dfb9e8b","resolution":{"observed_at":"2026-05-21T23:14:25.678534Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Hadamard single-pixel imaging versus fourier single-pixel imaging","venue":null,"work_id":"748cf917-2aea-4563-a68a-52a595c293d5","year":2017},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:f62e35c31da374b13ebaed410fa210577b01dd3327ed6c468f771778837241b3","observation_id":"466bac3b-1c09-4a5d-823a-42cf5837e404","resolution":{"observed_at":"2026-05-21T23:14:26.252051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"An overview of bilevel optimization","venue":null,"work_id":"4a59994a-52eb-40af-8c7e-a198a9887a33","year":2007},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:a11b910140a4dad17084e48c09225a95b514cc9ef5bc2877b169553d023618a1","observation_id":"a6f4cb3a-099e-4ec8-8376-f23374c85eed","resolution":{"observed_at":"2026-05-21T23:14:26.299004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Adam: A method for stochastic optimization","venue":null,"work_id":"b5db623c-5cb6-439c-a6fe-943dc118f6e9","year":2015},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:ed53d32b1fcfe3ab04fc90ad0b4fb7ec5c37cdaa9372ae4e2ebdc5995b41d125","observation_id":"1f175e95-325a-451a-9fba-0affd5ebbc26","resolution":{"observed_at":"2026-05-21T23:14:26.278306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":"1711.05101","doi":"10.1137/1.9781611972825.47","metadata_source":"pith","pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Decoupled Weight Decay Regularization","venue":"cs.LG","work_id":"07ef7360-d385-4033-83f7-8384a6325204","year":2017},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:f0610a462885daa4b78fd8cd1fd12fadf5f43a35842f2bc68f38ca6249de6181","observation_id":"3f91aced-a4ac-40f5-9038-d4900c2bba54","resolution":{"observed_at":"2026-05-21T23:14:25.683609Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"DeepInverse: A deep learning framework for inverse problems in imaging","venue":null,"work_id":"80473c82-2c20-428f-8da6-cd97d67e4ff7","year":2023},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:c9d256446bb871775dd15f0522f3ee5246b2dbc3d947557cbab18e2d5cc3c6c1","observation_id":"c645b9cd-ea30-4e5b-9059-eb760e014dde","resolution":{"observed_at":"2026-05-21T23:14:26.304084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The mnist database of handwritten digit images for machine learning research [best of the web]","venue":null,"work_id":"c79a02d2-6ccc-4bbe-b0ac-a2a5ac00f79f","year":2012},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:f62b916701fecf69207f0329e5586b442dd5ed83a36ecfc5cc12a95a1fb813e6","observation_id":"7e88aaf1-1d2e-4cbe-9cfd-312b7a53a022","resolution":{"observed_at":"2026-05-21T23:14:26.297050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"FastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning","venue":null,"work_id":"a27f90f4-25f4-43f0-9fa2-f5d213e2f9ae","year":2020},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:9b4654fbccc93c8de2d138588ffa7622346604e63e5a97fdeeae30ee741355ce","observation_id":"12f9c9bc-0d63-48af-815c-7e315b82e52f","resolution":{"observed_at":"2026-05-21T23:14:26.343848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deep learning face attributes in the wild","venue":null,"work_id":"c5644435-0e16-43fc-9e89-3cf3d50ab64a","year":2015},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:b0e92ca3c688d56ac0dad9b1f6e1b1fe6d7e2315f26281fc69da818fac88083a","observation_id":"849bda89-f6d1-47a9-aac1-3b7e6a3d842b","resolution":{"observed_at":"2026-05-21T23:14:26.285114Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The perceptron: a probabilistic model for information storage and organization in the brain","venue":null,"work_id":"d509fce0-737f-4613-99fe-e6f91bef0806","year":1958},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:a555d30259a1e78367801f0e8931abe12a2105cd7f64209829085fcb9bb3684c","observation_id":"c43369fe-882d-412a-abab-f40fa8209bbc","resolution":{"observed_at":"2026-05-21T23:14:26.271388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Gradient-based learning applied to document recognition","venue":null,"work_id":"ad5d0426-ccc7-4508-b0fd-fe5c66b85cfc","year":1998},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:9faa309fd4e0f1f7c4b5397bd8814aa0c22cd01b295bc123487e6630637a955f","observation_id":"3a8647c8-ee27-4c5b-ad66-8590c1a9cd2e","resolution":{"observed_at":"2026-05-21T23:14:26.340766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Cbam: Convolutional block attention module","venue":null,"work_id":"306ac13b-e0e7-40e8-af2d-6dc449abd8e3","year":2018},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:28be90503021354cf58dda88586cc419c2aee64f3f9353fe87e9b32bfa95c8d7","observation_id":"494df721-7acf-4ab0-84da-6283b84777ea","resolution":{"observed_at":"2026-05-21T23:14:26.338125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"U-net: Con- volutional networks for biomedical image segmentation","venue":null,"work_id":"ed761891-c17a-495d-88d2-141faadac7b0","year":2015},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:ecb796017f81b3997b87c035720e7e87ad0463e45f732b3d514d16f9cc9dbb62","observation_id":"d932281a-ee5e-4ade-bf95-459c98a82bfc","resolution":{"observed_at":"2026-05-21T23:14:26.291280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A multiscale and multidepth convolutional neural network for remote sensing imagery pan-sharpening","venue":null,"work_id":"b5c09911-6bf6-4503-b205-d4b08ff93f1c","year":2018},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:9ec626479393961c7e820408d660aa167823fd6e321aa46783512c8c5e4da392","observation_id":"5e752816-d14b-4c58-9c97-049356023ebf","resolution":{"observed_at":"2026-05-21T23:14:26.263571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.11435","last_updated":"2024-02-02T18:52:51Z","snapshot_observed_at":"2026-08-06T06:26:04.600331Z","submitted_at":"2023-03-20T20:28:17Z","title":"Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration","version":5},"cited_work":{"arxiv_id":"2303.11435","doi":"10.48550/arxiv.2303.11435","metadata_source":"arxiv_reference","pith_arxiv_id":"2303.11435","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Inversion by direct iteration: An alternative to denoising diffusion for image restoration","venue":"arXiv (Cornell University)","work_id":"cf4ab637-697b-4cfb-8fbc-d1bcf44b58b9","year":2023},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"cited_paper":"/paper/2303.11435","citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:c147a3e5750853e78de5cb3fbdf80a413453dfd4a47a9aef91d9c88c7c31940b","observation_id":"dba3c966-6cc0-47a7-8502-1b331417e5dc","resolution":{"observed_at":"2026-05-21T23:14:25.669155Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":"2010.11929","doi":"10.1175/jcli-d-22-0357.1","metadata_source":"pith","pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","venue":"cs.CV","work_id":"e96730e3-129b-4db6-b981-15ab7932e297","year":2020},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:986dae58a7f64e0c9a1cf3b0f05bdc17156193ebbb1ca9730ea652786ac563ef","observation_id":"c68f5e4e-da3b-4b42-8d27-56a9de4e55bd","resolution":{"observed_at":"2026-05-21T23:14:25.663987Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A convnet for the 2020s","venue":null,"work_id":"3f043d5e-781f-44d8-ae1a-8e16296dbc75","year":2022},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:67c1cacf39c76ca0d94d703d969040c1a46bbab51a1d1f00f8839a8fc2505dc5","observation_id":"40b74a34-9a89-4953-9f53-0fda8c43e64d","resolution":{"observed_at":"2026-05-21T23:14:26.323240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Schedul- ing techniques for liver segmentation: Reducelronplateau vs onecyclelr","venue":null,"work_id":"e90474cb-21f3-48f9-8158-40aaacbad513","year":2022},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:a5a9af6d3944594367786b2622f3dece2c6341de17b6e9f7b1c4d1f550c8da85","observation_id":"259e63b2-d9cd-4492-b252-31d899c6b83e","resolution":{"observed_at":"2026-05-21T23:14:26.308652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"On the expressive power of deep neural networks","venue":null,"work_id":"7f3ddd40-9f6b-46b2-a09e-ea2ceacad0a3","year":2017},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:bbfece59abaeef2b517e0aed3f5cca03bcd6b85f4dd8207431a915f558f37e23","observation_id":"4674c066-b02a-4a36-a70f-86ccb3424cce","resolution":{"observed_at":"2026-05-21T23:14:26.305878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d607b5b1-f37b-4ce7-a56c-cdcf1291b642","year":1996},"citing_paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-21T23:14:20.370343Z"},"links":{"citing_paper":"/paper/2508.04832"},"observation_digest":"sha256:9eb3740cbe8c3493e38211e3e0f9aca4acdb062b50a5b62e66a16d5370c2b7ce","observation_id":"b833f4ce-fc91-455e-b457-edf55677df4d","resolution":{"observed_at":"2026-05-21T23:14:26.303061Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.04832","last_updated":"2025-08-06T19:20:36Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-01T13:22:44.178901Z","submitted_at":"2025-08-06T19:20:36Z","title":"Deep Distillation Gradient Preconditioning for Inverse Problems"},"reference_resolution":{"displayed":40,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":4,"verified_fuzzy":34},"total_outbound_references":40},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2508.04832."}