{"as_of":"2026-08-18T01:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f24fc8bde6b6a72bb17049f830162492064e66413c7fd41b656cf3c0a0a9d786","coverage":[{"denominator":24,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":24,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T14:27:22.294889Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T14:27:22.215108Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-10T14:27:22.483670Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"cited_work":{"arxiv_id":"2501.15309","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.15309","snapshot_observed_at":"2026-08-10T14:27:22.483670Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","venue":"eess.IV","work_id":"088f6d1d-8717-4f55-990b-0f9ca99bb584","year":2025},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.215108Z"},"links":{"cited_paper":"/paper/2501.15309","citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:1ee846dc20065b1ae0dbc7938749137bb18ab29f9b3d7c60bd1be25c841acb2b","observation_id":"24a51be7-5f8e-4fda-86ea-4c22d611e02f","resolution":{"observed_at":"2026-08-10T14:27:22.486907Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.15309/citation-record","integrity":"/paper/2501.15309/integrity","json":"/paper/2501.15309/citation-record.json","paper":"/paper/2501.15309"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:27:22.652931Z","title":null,"venue":null,"work_id":"6d665de3-15ac-4a9c-851f-5e5dd202fd36","year":null},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.211114Z"},"links":{"citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:fcfa86a5234bd5c88b3833c7d70f995269611249ed875e27adf7effca14b8c15","observation_id":"2e73fe24-e7e3-4746-8159-ad404df16eab","resolution":{"observed_at":"2026-08-10T14:27:22.656560Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"cited_work":{"arxiv_id":"2501.15309","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.15309","snapshot_observed_at":"2026-08-10T14:27:22.483670Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","venue":"eess.IV","work_id":"088f6d1d-8717-4f55-990b-0f9ca99bb584","year":2025},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.215108Z"},"links":{"cited_paper":"/paper/2501.15309","citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:1ee846dc20065b1ae0dbc7938749137bb18ab29f9b3d7c60bd1be25c841acb2b","observation_id":"24a51be7-5f8e-4fda-86ea-4c22d611e02f","resolution":{"observed_at":"2026-08-10T14:27:22.486907Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:27:22.640934Z","title":"We train with whole images ( 256 × 256), as well as with randomly sampled patches of size 128 × 128 as in Patch Diffusion [17]","venue":null,"work_id":"7e83167f-ef1c-42e3-867d-da1b6733f88f","year":null},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.219159Z"},"links":{"citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:b8c7822fd81a68ebae08fc959daa478e59a4b6eefb272a06652fdded61dbdea6","observation_id":"507a0822-ff5f-4ca3-8f4a-3e8740112fde","resolution":{"observed_at":"2026-08-10T14:27:22.644832Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:27:22.631334Z","title":null,"venue":null,"work_id":"d791a964-b1dd-47e9-b4e0-c6f0e72a64b0","year":null},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.222576Z"},"links":{"citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:ffc860b5b263ad98776dba820152adbd853db0c57e70dab63535116ff70b7e39","observation_id":"40aa2715-8d68-4b10-ba8a-9f46e37c8b5e","resolution":{"observed_at":"2026-08-10T14:27:22.634478Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:27:22.621699Z","title":"In doing so, we seek to enable further study into the usage on patch-based methods in memory intensive inverse problems in higher resolution medical images","venue":null,"work_id":"fc8107d0-1344-45fa-9dbb-de3485869cd3","year":null},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.226464Z"},"links":{"citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:4ca9d1031000be6fb57c50e5db258035ebc4c0d8cce84cdcb504abe55e1bc34c","observation_id":"798bff20-1c29-42a3-aea9-47f35bb09057","resolution":{"observed_at":"2026-08-10T14:27:22.625248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:27:22.612205Z","title":"Learning deep cnn denoiser prior for image restoration,","venue":null,"work_id":"f42a223f-cb5a-45b5-bd2a-1c74dd07325c","year":2017},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.230058Z"},"links":{"citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:5b4c913de53db50c2d12f0d57fd1a96bd50d03c8bcfcbd4f9b272b4bfc443dbc","observation_id":"a6b6ae73-24b7-405b-91f6-8207c2899544","resolution":{"observed_at":"2026-08-10T14:27:22.615214Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:27:22.601926Z","title":"Nonlinear image recov- ery with half-quadratic regularization,","venue":null,"work_id":"9e54e234-6b2e-4c5f-badf-8b39b125e1e9","year":1995},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.233864Z"},"links":{"citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:6635a41f5c19d15380e605b53150e2d79a61de78698f79d3050ee940215e63c4","observation_id":"ee5b1eaf-1298-4340-900e-0aed3f1896d2","resolution":{"observed_at":"2026-08-10T14:27:22.605644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.00083","last_updated":"2024-09-30T17:34:01Z","snapshot_observed_at":"2026-07-06T19:24:48.032228Z","submitted_at":"2024-09-30T17:34:01Z","title":"A Survey on Diffusion Models for Inverse Problems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.00083","snapshot_observed_at":"2026-08-10T14:27:22.237572Z","title":"A survey on diffusion models for inverse problems,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.237572Z"},"links":{"cited_paper":"/paper/2410.00083","citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:2c901436e92d48512fb04e355ca46bc659f24a817d7d956c1cd282f8856a1541","observation_id":"affe61ea-08c6-4aca-bd53-c1279d68156e","resolution":{"observed_at":"2026-08-10T14:27:22.237572Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.04391","last_updated":"2023-09-29T18:22:58Z","snapshot_observed_at":"2026-08-16T15:34:56.358606Z","submitted_at":"2023-05-07T23:00:47Z","title":"A Variational Perspective on Solving Inverse Problems with Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.04391","snapshot_observed_at":"2026-08-10T14:27:22.241456Z","title":"A variational perspective on solving in- verse problems with diffusion models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.241456Z"},"links":{"cited_paper":"/paper/2305.04391","citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:bd9b7ab83776d7f61dde534a1e558b9fdba0569525ea865f8eb585e472566894","observation_id":"5e2d1da5-93a7-4ac2-8caf-68925c51c985","resolution":{"observed_at":"2026-08-10T14:27:22.241456Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:27:22.245457Z","title":"Diffu- sion posterior sampling for general noisy inverse prob- lems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.245457Z"},"links":{"citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:99c60a670b815a8b15ddc7107e6f2d1fc31235315fcc1ee948ddc4a4e9e08bff","observation_id":"325a8af2-7022-45b1-9524-06bf729f6230","resolution":{"observed_at":"2026-08-10T14:27:22.245457Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:27:22.584667Z","title":"Denois- ing diffusion models for plug-and-play image restora- tion,","venue":null,"work_id":"284ae120-617d-4c74-8113-c6b10c7d0395","year":2023},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.249277Z"},"links":{"citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:11e9083776afa26a27273f9489f48011cafb6c9c0b60676f1e461dafc9c2385f","observation_id":"15d31e3a-78a1-476c-bed2-691a39f934e2","resolution":{"observed_at":"2026-08-10T14:27:22.588529Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:27:22.574330Z","title":"Hierarchical patch diffusion models for high-resolution video generation,","venue":null,"work_id":"d1dacd81-0e0b-44a0-b663-7dacca6fe76e","year":2024},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.253321Z"},"links":{"citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:e3ba8074fd5508b2c864f6c17861a61bc2cfdc1b3089d07d3dc5135cbfa7b296","observation_id":"4dacc346-02f2-4bbd-a5ad-6d7a24abbb21","resolution":{"observed_at":"2026-08-10T14:27:22.577823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:27:22.564511Z","title":"Patched denoising diffusion models for high- resolution image synthesis,","venue":null,"work_id":"80369c9f-752c-4ca3-bb35-743fd24ea2ac","year":2023},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.256933Z"},"links":{"citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:37a77c30b6b6b54274aa942ac3ac455acc1fbe2c3a5736a44ca2cb1abc407029","observation_id":"8c16c6c3-8a4b-4ea5-8576-38e9698bcae1","resolution":{"observed_at":"2026-08-10T14:27:22.567794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:27:22.554004Z","title":"Pd-cr: Patch-based dif- fusion using constrained refinement for image restora- tion,","venue":null,"work_id":"6b4e9499-2bc3-44a1-adf8-4365809e6ae5","year":2024},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.260234Z"},"links":{"citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:c8afad985f7578ee1e61faee617c595acda0a25b5298f502310f4e175e688e59","observation_id":"6cd2a243-1585-4436-bf79-c61f28ae86e6","resolution":{"observed_at":"2026-08-10T14:27:22.557800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2406.02462","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:27:22.450251Z","title":"Learning image priors through patch-based diffusion models for solving inverse prob- lems,","venue":null,"work_id":"9cb50297-bae5-476b-9920-900a85c0e1c1","year":2024},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.263698Z"},"links":{"citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:18a059201e164e1057b5433c8798f3097b5ca1bef73bd34831edb54d6668dc37","observation_id":"576afe1b-2427-45e7-8448-5e41fe5d6b97","resolution":{"observed_at":"2026-08-10T14:27:22.454934Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.11730","last_updated":"2024-10-15T16:02:08Z","snapshot_observed_at":"2026-08-16T13:09:07.931719Z","submitted_at":"2024-10-15T16:02:08Z","title":"Patch-Based Diffusion Models Beat Whole-Image Models for Mismatched Distribution Inverse Problems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.11730","snapshot_observed_at":"2026-08-10T14:27:22.267026Z","title":"Patch-based diffusion models beat whole-image models for mismatched distribution inverse problems,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.267026Z"},"links":{"cited_paper":"/paper/2410.11730","citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:fafc5e30836e9f2ab573ddb80922d5fca9e9a10efe5337b8197ad3208215c4d7","observation_id":"8155abc7-f964-4d20-9b03-6aba4b2e7760","resolution":{"observed_at":"2026-08-10T14:27:22.267026Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03706","last_updated":"2024-04-04T10:36:56Z","snapshot_observed_at":"2026-08-17T20:19:25.188928Z","submitted_at":"2024-04-04T10:36:56Z","title":"Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems","version":1},"cited_work":{"arxiv_id":"2404.03706","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.03706","snapshot_observed_at":"2026-08-10T14:27:22.334281Z","title":"Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems","venue":"eess.IV","work_id":"b45e3059-9af7-417c-b3b6-758e82f8e13c","year":2024},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.270648Z"},"links":{"cited_paper":"/paper/2404.03706","citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:930bd46a3d9e66dad0055f8ea4abfba1309d94d711267f6990e12fba619dceca","observation_id":"07488a5e-e03b-42dc-a750-ff393ca4af26","resolution":{"observed_at":"2026-08-10T14:27:22.339933Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:27:22.543082Z","title":"Solving inverse problems in medical imaging with score-based generative models,","venue":null,"work_id":"e7bbf5d2-5c9d-4b11-a7b9-df678261b78d","year":2022},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.274231Z"},"links":{"citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:53fb7a12b211cd5362506341f28382bec4c1d7df3b0bbf5aca52df5f665fffac","observation_id":"ea51b743-5a31-4c2f-9158-c5cfa490b407","resolution":{"observed_at":"2026-08-10T14:27:22.546842Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:27:22.531938Z","title":"Solving 3d in- verse problems using pre-trained 2d diffusion models,","venue":null,"work_id":"29f43a9c-3ab3-4c53-8f3a-88c8fdf90b61","year":2023},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.278271Z"},"links":{"citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:439e43761c58f4cf3fc206761ecd9569e7ce5eccf145e6ccd0f352aa33d15817","observation_id":"fbdbad88-73aa-4e07-b358-a2d4bf1158b7","resolution":{"observed_at":"2026-08-10T14:27:22.535672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:27:22.521268Z","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":"3e7cd2f8-322b-4467-982a-e476f4b6b59d","year":2020},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.281676Z"},"links":{"citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:96df24897c0595a39578ea9a789d4d5a2076c086fbf0e10c9a2294c0fa370227","observation_id":"9e5afc21-0633-4e93-8019-f62a29e50a1e","resolution":{"observed_at":"2026-08-10T14:27:22.525041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:27:22.510609Z","title":"Elucidating the design space of diffusion-based generative models,","venue":null,"work_id":"e95c69fb-7db6-4397-b097-127e508c4648","year":2022},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.285075Z"},"links":{"citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:09a1f1eefeba3675e67bfbd007a8fb600e8eb0e6b308173268dd0a667349f26b","observation_id":"375e3d62-5d64-4597-bafa-195d6ceae3c7","resolution":{"observed_at":"2026-08-10T14:27:22.514471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:27:22.499907Z","title":"Patch diffusion: Faster and more data-efficient training of diffusion models,","venue":null,"work_id":"7fe8354c-b637-4009-ba03-455d636b943b","year":2024},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.288211Z"},"links":{"citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:4fb5e627864c012bbaf4209fddd95297404ba0fd7593a7f4275230f4bba7b0af","observation_id":"eef99597-7b48-4b75-b7b9-8afeabae7072","resolution":{"observed_at":"2026-08-10T14:27:22.503657Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:27:22.291456Z","title":"The unreasonable ef- fectiveness of deep features as a perceptual metric,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.291456Z"},"links":{"citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:90fa2604d99e36e95f183bcdfce4e1015501594ae18c7f4bce9ee8b7b120f5b9","observation_id":"89664495-20c4-4f55-ae6f-7a61838deb2e","resolution":{"observed_at":"2026-08-10T14:27:22.291456Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1811.08839","last_updated":"2019-12-11T10:31:39Z","snapshot_observed_at":"2026-08-17T20:14:40.901606Z","submitted_at":"2018-11-21T17:32:14Z","title":"fastMRI: An Open Dataset and Benchmarks for Accelerated MRI","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.08839","snapshot_observed_at":"2026-08-10T14:27:22.294889Z","title":"fastmri: An open dataset and benchmarks for accelerated mri,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T14:27:22.294889Z"},"links":{"cited_paper":"/paper/1811.08839","citing_paper":"/paper/2501.15309"},"observation_digest":"sha256:81a06522cde4cebbffcca0ddc104c6df23e7fc9a7f1681cd68e8763ac4edbd6d","observation_id":"9c1b9dfd-5dbd-4002-97f4-de36c773ed05","resolution":{"observed_at":"2026-08-10T14:27:22.294889Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.15309","last_updated":"2025-04-26T08:58:07Z","latest_version":2,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-17T20:18:31.449468Z","submitted_at":"2025-01-25T19:15:16Z","title":"Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images"},"reference_resolution":{"displayed":24,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":3,"verified_fuzzy":13},"total_outbound_references":24},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2501.15309."}