{"as_of":"2026-08-10T12:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e8b4e303c751b7072322cef11eecd740168404134adbe6b95c2202d3e34bcaee","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":"2026-08-10T06:31:04.303077+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":"sha256:1e00a49b0adc5c050ddffdb5d9d4d44c902611cc41c62505d7d05700206ab740","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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":"sha256:19ca0d58c02c4499f8e3a42e54c463987ac9173e00f3dee025ea428d3d4a7a36","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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:f4d2873425a805acc074a75ec4abeddb160e521998adc3e1c9ed90275a932f8b","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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":"sha256:98b7f73310f45ea49bbfb4cefcddd9a11a7ccf1122f1753eca54d48db2fca199","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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:bdf7837f4a79af7070c08fa00c33f29b2be0990ed07b2dfbee6ff68c6055353f","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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:d8c907681ff217dbfbacdc4dd0cdcdaccdc4b05b825e7d6e60ca05b0df1a1434","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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:f03c1a9372c10e28f37f676d1746f15dda46bc09076f2caebfe9947d91fff8dd","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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":"sha256:0dee4a7f0d0e1e61693d2cb0feac33876bcb4dcf8531e5569d442b0e7dc629ef","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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:d93bd6da6454ac67f75724e9e44d3d92bb22ccfd7dace8ac58a855a3467be4bd","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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:f0ccd325b2f667286aee1ad6323ebd60328b82c0cd7e3d1aa24cea75c15fe948","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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:dc8710a65ba2236bebd639ba041657b4db1c2885ea64c6c3035c1d89d7aca6eb","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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:f5f6831e7c1c4a2fddffa2a771f48900d9e2ef6e49497ebb86565083f4c30b5e","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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:b39502fb9385b093fcc849feb6a43d8bb1eda65cbaf7356bf075505d8a20f215","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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:a8f522eb500ab135533379fe09d73f679152257420992ffbec461a101fb70c44","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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":"sha256:1f8e71b54fa18f13c7d4053115926d0530ef2eed2196e9f8261ee007d933dcd5","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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:d5da80a38e1682b439b89080c907d9444990dc700cde6b909031ccfcbd1e0ec8","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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:ef89325e479bb211fa1f2a8487321685921721b19966ee8133ceb19bdee913eb","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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":"sha256:62fee1154d04cfe039070cec9360f2a6b69aab1b5cbc01e37b1a10adcd67b192","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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:d82f281ba02267a4618ade9a637df1c8677d8e87cb70179e33f0e50820a68a57","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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":"sha256:66f9882cdeb124dda9d70a73d1a01b15da23a67f29fa2dd7f52f477024edc223","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 2026-08-10T06:31:04.303077+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":"2501.17898","last_updated":"2025-01-29T03:49:21Z","snapshot_observed_at":"2026-08-10T04:41:25.692736Z","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":"sha256:48763eccbc7ae701ef6f8ebfe05d61a41c79c549c79bedcd09e9eb0d324c64fd","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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:ebff84e7c1c43fb9995df47e59b4286242c7d7db368541cc8c71214131745b16","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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:e3a6dd3ff36ce52ec355b0caae2c095cebee1b425f3c34b44b0a031dd8fae0a0","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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":"sha256:70c0cb1d008a9fdb1e89c957886c0b2cac1fecf61d30a90824894bf69fa79e92","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 2026-08-10T06:31:04.303077+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":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-08-09T20:34:52.923500Z","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":"sha256:18164a37c88870e6ccf45481587124754aea402a0d28ced8ac801e2aaa2854b4","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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":"sha256:675a16cc78c3679d93aff3cfce5911d18d3efbba32e63640dbf06c77669cff30","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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":"sha256:20b8f48917cf67ada7fffcd343386f7ca32313b6c2cbf483549254f09b2f9d14","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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":"sha256:060af89b70ea8cda9f26bc632817760f210d1aac93ef9aa1e84d5930d31cb3a6","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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":"sha256:2787382ceba80ae8e0aaf58f9b0e097108e0e4e857cf7a01f4cbb32cc74f370a","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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":"sha256:5fa89d8ef56016ceef0ce5eb170d307c10d1d64cb24cf3303ebf730a02804fab","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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":"sha256:222bf2bb32b24ac71bb8d3afc518e51be3891e9970c95a92086d53061322cd7f","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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:d197ff2a4df6f94d3a2f849bcfa9d9d97a3ab2270bb690ea7fcbd9c6408b7cbc","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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:d8161abae1c2ed9c5a781f9e83a55d6e45d40942a62864a8d8accc0d2af21d02","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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:fdc20b49154bc1b1ca551cbbd6c15dd846d085d36859a2ddd3cb4b8bd26ab3e8","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 2026-08-10T06:31:04.303077+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":"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:d1c21a74702ae023db77b460f46962b46ca1b27b62e707356131f4c70ccdba33","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 2026-08-10T06:31:04.303077+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":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-10T01:12:16.468283Z","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:bd2d3f5f6d3639993db912edad4bf90c5332d43a469e1d7d1d9a043fb0e2ec1c","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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":"sha256:1a79b10bc0e4de01e64b670e517edca6cff8fadddab10666d1fd1e523ae41e55","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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:fb7482155bc9d44e00a71d66a2f843e281164cd53c4b448f82035eeaad188d40","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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:ff0c21b27e03fd8108e245f3f54d1f652028c3271c9b80f31731b29341ce4618","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 2026-08-10T06:31:04.303077+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":"2026-06-05T21:23:00.469572Z","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":"sha256:5ec0ee4d331238295edae7bcd84e57758dd91605653ca7b13e5c9f7ff3cbccfa","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 2026-08-10T06:31:04.303077+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"}}],"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":"2026-08-10T06:31:04.303077+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 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2508.04832."}