{"as_of":"2026-08-11T15:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a87428e269e5ec39b1aa481a8600f5de67ceabbe0fe5131d433e6e5bb8f38573","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:20:14.579316Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2506.06400/citation-record","integrity":"/paper/2506.06400/integrity","json":"/paper/2506.06400/citation-record.json","paper":"/paper/2506.06400"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:20:16.898071Z","title":"Representation of a function by its line integrals, with some radiological applications,","venue":null,"work_id":"f52e9092-3fe2-4ab9-a581-19fa71b2716d","year":1963},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:10.106915Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:7fcc9d5979c38b9e874bc90e7158c02bfa24be621a071ebbdeb275f461c322be","observation_id":"51e2885e-e102-49e2-8810-2fe5c827f9fc","resolution":{"observed_at":"2026-08-07T10:20:16.902199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:16.884822Z","title":"Computerized transverse axial scanning (tomogra- phy): Part 1. description of system,","venue":null,"work_id":"99040a7f-f0fe-463c-bc99-4a0b992db407","year":1973},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:10.174194Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:89bace893b09fec650ca7ec15958f398dfd93519b458545f3e19b876301d9067","observation_id":"2b52d1fc-5160-4d2a-b822-8a9a7c3265c4","resolution":{"observed_at":"2026-08-07T10:20:16.889079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:16.871428Z","title":"An outlook on x-ray ct research and development,","venue":null,"work_id":"d7ba0c26-cb8f-4880-8489-6c247b20a74d","year":2008},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:10.239325Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:f6f0673aeb56eb14db6e9d65bdf3adf8d3723793d0a3540d3b618b334ca420d7","observation_id":"f2cc9778-672e-49a2-8d9f-de3729d9d8f5","resolution":{"observed_at":"2026-08-07T10:20:16.875398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:10.328263Z","title":"Low-dose ct with a residual encoder-decoder convolutional neural network,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:10.328263Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:17e957c38a532f031e559b9c39957a5cdadb0638832fe7fe5ff8c7671637c102","observation_id":"26483d1a-eb79-44a8-9606-945950893cd2","resolution":{"observed_at":"2026-08-07T10:20:10.328263Z","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":"2026-08-07T10:20:10.421988Z","title":"Computed tomography—an increasing source of radiation exposure,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:10.421988Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:0b696ab0efa5a43e3d8d16b3ffedafc3439f777a46e32a16d44fa608a368f06c","observation_id":"873a0bdd-1d4e-4df8-bff7-23c1c4023bcd","resolution":{"observed_at":"2026-08-07T10:20:10.421988Z","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":"2026-08-07T10:20:16.837623Z","title":"Strategies for ct radiation dose optimization,","venue":null,"work_id":"a015c8f5-0498-4e6d-8c28-68f48805fdbf","year":2004},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:10.495979Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:726a82e13f6a1804f17c9d0308fe22e3c0c8799147b86183bd700ca893382358","observation_id":"361e8c9d-b46a-449f-b46e-60246caad244","resolution":{"observed_at":"2026-08-07T10:20:16.842117Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:16.825060Z","title":"The alara concept in pediatric ct: myth or reality?","venue":null,"work_id":"a505b052-ee63-472a-8a10-8db87a902560","year":2002},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:10.562734Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:cf06c91d1ecb67dcf5f5d8af6149fc2f4bb201208826f84d121d2afac317808d","observation_id":"c526547b-f17b-4cbd-99d1-be8a7870b7d6","resolution":{"observed_at":"2026-08-07T10:20:16.829081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:16.812014Z","title":"Low-dose x-ray ct reconstruction via dictionary learning,","venue":null,"work_id":"a371479e-1ff5-401a-8aa1-1e9e23d75b68","year":2012},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:10.657719Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:9e7d044d58c40fb5356ec9c0ec189ae61a4baf2402704c7cbe8e53300d907c0f","observation_id":"d1957e3b-2173-4d50-861d-53023cad97d8","resolution":{"observed_at":"2026-08-07T10:20:16.816146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:16.800105Z","title":"Artifact suppressed dictionary learning for low-dose ct image processing,","venue":null,"work_id":"3f368d85-963e-4f1e-9934-063360a332db","year":2014},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:10.714033Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:1f5aec52c75e4f0c65bd0a5f4f98fa8d4b9966163666c3fa6e74f247356716e4","observation_id":"470e331e-4050-4da9-93d1-a0ad1ce27232","resolution":{"observed_at":"2026-08-07T10:20:16.803781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:16.787072Z","title":"Accurate image reconstruction from few-views and limited-angle data in divergent-beam ct,","venue":null,"work_id":"1fa7e22f-5677-4174-a22c-793743994e39","year":2006},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:10.771384Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:e1be4ee7e3779c521c69526aa173b9ca38271f91dad1e8ae215850fafae88fcd","observation_id":"6816cb35-c51c-485c-8bfd-fb54eff6a634","resolution":{"observed_at":"2026-08-07T10:20:16.791486Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:10.838065Z","title":"Prior image constrained compressed sensing (piccs): a method to accurately reconstruct dynamic ct im- ages from highly undersampled projection data sets,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:10.838065Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:d3546b15b95a81dc9e63b5159e87a3eae47bf2f01711c8f3aebb66bd85e90abd","observation_id":"2072ddcc-bfcc-48b7-a55d-871c9b7c6f09","resolution":{"observed_at":"2026-08-07T10:20:10.838065Z","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":"2026-08-07T10:20:10.905479Z","title":"Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:10.905479Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:aa8c60ba0b40ce27608f9cd2d1b2f1bbd2eb5063595f3238da45a2171ff8e41b","observation_id":"91f14899-3406-4d7f-90a6-29a7c775f1cc","resolution":{"observed_at":"2026-08-07T10:20:10.905479Z","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":"2026-08-07T10:20:16.756593Z","title":"Evaluation of sparse-view reconstruction from flat-panel-detector cone-beam ct,","venue":null,"work_id":"438403df-c874-48d3-8f29-a7bc8d5d0d2b","year":2010},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:10.979360Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:02169410b65c8ac95b682f30514737c43fadb3dbd6ec70f06730948dd55fa8ee","observation_id":"31971fe0-fabe-4239-8b75-0e5710764d5b","resolution":{"observed_at":"2026-08-07T10:20:16.761023Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:16.743350Z","title":"The ill-conditioned nature of the limited angle tomog- raphy problem,","venue":null,"work_id":"28cc93e2-6669-476c-880d-884446e62f74","year":1983},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:11.049267Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:40d40f7363e77dd336a74eca3c786207613a559f2ed7642eb5a93d58a8cf4e73","observation_id":"d13f47a7-cfcd-4f02-8ab6-b00ea42d3507","resolution":{"observed_at":"2026-08-07T10:20:16.747342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:16.730057Z","title":"Dictionary learning based sinogram inpainting for ct sparse reconstruction,","venue":null,"work_id":"2c41015d-8e7c-4f7e-aec5-5d9395b2b561","year":2014},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:11.119681Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:856e9bf9430257d8c7eeb289751423816f20710873d51684797382d28f4e04e4","observation_id":"e454ef97-15fd-4148-9752-ef906be9b4ba","resolution":{"observed_at":"2026-08-07T10:20:16.734730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:16.716564Z","title":"K-svd: An algorithm for designing overcomplete dictionaries for sparse representation,","venue":null,"work_id":"ba1ce1f7-f1fa-47db-b445-c5731e9e87f3","year":2006},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:11.189439Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:7131ff5de74aac8d55283a0942ac8abd58cdb720426a3c081473918eaa7eabc2","observation_id":"e5919879-2642-4416-8f85-22c4cf8024b6","resolution":{"observed_at":"2026-08-07T10:20:16.721059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:11.259626Z","title":"View-interpolation of sparsely sampled sinogram using convolutional neural network,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:11.259626Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:dc9e62986b1ce66fbac6d9a63834dee2c81ccb6f9b42118c3513f2b261c136ef","observation_id":"ec73aea9-9fd8-4b80-bf6d-a405590bd968","resolution":{"observed_at":"2026-08-07T10:20:11.259626Z","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":"2026-08-07T10:20:11.329482Z","title":"Imagenet classification with deep convolutional neural networks,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:11.329482Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:b696b40799fe55b2963daad054596cf9280e115409bbed7145d6d1f77f557231","observation_id":"62ff425e-e2c2-4121-96aa-0ab746c159c0","resolution":{"observed_at":"2026-08-07T10:20:11.329482Z","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":"2026-08-07T10:20:16.686797Z","title":"Cine cone beam ct reconstruction using low-rank matrix factorization: algorithm and a proof-of-principle study,","venue":null,"work_id":"54a508de-1f30-4b46-a5b6-02f65caa9b6f","year":2014},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:11.392519Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:70687c6a04d79af18c3dc530501c1c5b52e2eb8ad2be0c89c17d33082524886a","observation_id":"18e48253-e1e7-4b3b-9c8e-908d584789a3","resolution":{"observed_at":"2026-08-07T10:20:16.691098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:16.674782Z","title":"Non- local total-variation (nltv) minimization combined with reweighted l1- norm for compressed sensing ct reconstruction,","venue":null,"work_id":"bf508408-0f94-4a61-8b65-4f4912a87ff6","year":2016},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:11.460132Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:260fa66b5ec7237a37d250e197d1e94dd6051a3131b1f321e8e198c1706a8fa3","observation_id":"8a0ff123-b7c6-410c-b7ca-70f963fd1ece","resolution":{"observed_at":"2026-08-07T10:20:16.678753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:16.661933Z","title":"Sparse-view x-ray ct reconstruction via total generalized variation regularization,","venue":null,"work_id":"0aaff708-ce42-4fa7-a6c0-49204df60e1e","year":2014},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:11.529994Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:3cd9dd1bf778b5dde09afc498143a43d09c4017155f63eee5fdb55fa58ec5e93","observation_id":"5064ff91-c9e8-46f1-a7e0-2f5d5aedcb41","resolution":{"observed_at":"2026-08-07T10:20:16.666292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:16.649469Z","title":"Relaxed linearized algorithms for faster x- ray ct image reconstruction,","venue":null,"work_id":"d117827e-8f1e-438c-9d41-9dc285991d90","year":2015},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:11.636997Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:3c49a5f3fd16403b06c022a75f3120ff2cdd54db9a4c49f2aa79a4aaac5f62de","observation_id":"a3d3d5fe-56ed-4257-8ca5-01e4e2c40a9b","resolution":{"observed_at":"2026-08-07T10:20:16.653528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:16.635710Z","title":"Combining ordered subsets and momentum for accelerated x-ray ct image reconstruction,","venue":null,"work_id":"a959b9bc-b7fd-4932-9537-20a00733a2b4","year":2014},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:11.704341Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:eb60a86aca197d840c77ee376544afa35e2eb9c02ad7ebae197ddf12a563b770","observation_id":"950aacd3-a6b7-4820-83c5-96932e0fdfd1","resolution":{"observed_at":"2026-08-07T10:20:16.640619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:16.621932Z","title":"Sparse-view x-ray spectral ct reconstruction using annihilating filter-based low rank hankel matrix approach,","venue":null,"work_id":"21419a52-a78d-4e77-8d0f-6a5efa39bfbd","year":2016},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:11.778420Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:b8173d5f7bb216e58c8170d02c8e90c2465dbbd843ada885ff3ee1821b53d4c3","observation_id":"3d9a8bc2-1209-4a59-b48b-1feb7466dd99","resolution":{"observed_at":"2026-08-07T10:20:16.626326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.05322","last_updated":"2024-12-03T21:06:26Z","snapshot_observed_at":"2026-07-06T20:03:02.297824Z","submitted_at":"2024-12-03T21:06:26Z","title":"$\\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction","version":1},"cited_work":{"arxiv_id":"2412.05322","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.05322","snapshot_observed_at":"2026-08-07T10:20:14.763131Z","title":"$\\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction","venue":"eess.IV","work_id":"aad7efce-aae1-4ffe-8ddf-56f44ec3f2d2","year":2024},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:11.870876Z"},"links":{"cited_paper":"/paper/2412.05322","citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:5609f7739fc11f4ad8e03515c93a69ffc0f8bc120e4948069f61dc8878e8ec8e","observation_id":"0857e57b-5ade-4094-9864-559e11c71cc4","resolution":{"observed_at":"2026-08-07T10:20:14.832759Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15887","last_updated":"2023-07-14T01:27:28Z","snapshot_observed_at":"2026-08-09T07:02:08.623703Z","submitted_at":"2023-05-25T09:38:52Z","title":"Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image Denoising","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15887","snapshot_observed_at":"2026-08-07T10:20:11.966211Z","title":"Diffusion probabilistic priors for zero-shot low-dose ct image denoising,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:11.966211Z"},"links":{"cited_paper":"/paper/2305.15887","citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:24ceafea1614589c28eb2956adce7aaf417b5936ab5b494dc722a62e29e8ba29","observation_id":"459fde7b-e942-477e-affe-0137dcc76158","resolution":{"observed_at":"2026-08-07T10:20:11.966211Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.08005","last_updated":"2022-06-16T00:01:39Z","snapshot_observed_at":"2026-08-06T05:01:09.365741Z","submitted_at":"2021-11-15T05:41:12Z","title":"Solving Inverse Problems in Medical Imaging with Score-Based Generative Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.08005","snapshot_observed_at":"2026-08-07T10:20:12.081326Z","title":"Solving inverse problems in medical imaging with score-based generative models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:12.081326Z"},"links":{"cited_paper":"/paper/2111.08005","citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:c25c16f7d8631bb255f3fa37aaed26e695cda80e8cf6a84598cec0e1570bd1da","observation_id":"441bc5b6-d063-4961-97bf-4491a4151cc9","resolution":{"observed_at":"2026-08-07T10:20:12.081326Z","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":"2026-08-07T10:20:16.609576Z","title":"Mr image denoising and super- resolution using regularized reverse diffusion,","venue":null,"work_id":"9e335995-5582-407e-af64-93fd97c01d04","year":2022},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:12.156961Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:650d0ea06fb4565b014a635e2b4e41214fd6b6c8c2e2fc8e97af036f4758f6fa","observation_id":"b357d717-aa42-4c30-a2ef-4bf736ca76bf","resolution":{"observed_at":"2026-08-07T10:20:16.613536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:16.595836Z","title":"Jccs-pfgm: A novel circle- supervision based poisson flow generative model for multiphase cect progressive low-dose reconstruction with joint condition,","venue":null,"work_id":"989e31e5-a1e6-4a2e-a715-844e8ccd43b0","year":2023},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:12.257783Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:b88014a6cac67b25c13049521d8c4f56041ed201140612d2498a46a48bb69178","observation_id":"f477d5b3-534d-4d91-b7a3-d2683eb2ee2b","resolution":{"observed_at":"2026-08-07T10:20:16.600323Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:16.583172Z","title":"Physics-informed score-based diffusion model for limited-angle reconstruction of cardiac computed tomography,","venue":null,"work_id":"aa95c2c6-bdb0-46da-b105-16e988aba509","year":2024},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:12.332256Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:1371f55159d48e421870e369f3a14ecde7e0992cfdbb9aff66cada2f1a7d55d8","observation_id":"f49f4ae5-b276-48d7-b535-8162290aa18a","resolution":{"observed_at":"2026-08-07T10:20:16.587202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:16.570585Z","title":"Im- pact of network architecture and training strategy for photon counting ct data correction,","venue":null,"work_id":"6a141f6d-0b36-4b30-aac0-66eb3af8c089","year":2024},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:12.517323Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:75190a6fdf5f254b8b832bc6cd57859e49596535e29228905f5ab8d850b44a9e","observation_id":"02eeb7b2-29bd-41e8-8475-69b19c80567e","resolution":{"observed_at":"2026-08-07T10:20:16.574412Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:12.679705Z","title":"Elucidating the design space of diffusion-based generative models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:12.679705Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:211b4b15c88e0f4e72bfac71c0e544550c64fcd9bf982897251e976bbea7dccb","observation_id":"281ff393-9f4d-4a6d-b116-769dceee5569","resolution":{"observed_at":"2026-08-07T10:20:12.679705Z","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":"2026-08-07T10:20:12.808260Z","title":"Poisson flow generative models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:12.808260Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:8988ef53738bb9435ae96305908454702e93333c494cb52c8d6fe56038ce18ca","observation_id":"0acf7d84-2fed-4617-aa5e-125fd84b9d05","resolution":{"observed_at":"2026-08-07T10:20:12.808260Z","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":"2026-08-07T10:20:12.963807Z","title":"Pfgm++: Unlocking the potential of physics-inspired generative models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:12.963807Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:c94eab0c903e113134ec94db47d7209010e01efbc20d06b066a4c4d7785062db","observation_id":"1b70c8a7-0350-438f-9254-c0f6dc9c67ec","resolution":{"observed_at":"2026-08-07T10:20:12.963807Z","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":"2026-08-07T10:20:16.532497Z","title":null,"venue":null,"work_id":"72a8537d-e270-4d29-b091-b362e73e5a3b","year":1998},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:13.110273Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:52fa6c3dc8b9ae66ccd9863eafc17642b49c9f0da7bf5f58f83473ccfa530fdd","observation_id":"e4a03bec-412d-4b07-bed6-b198d0d11fa2","resolution":{"observed_at":"2026-08-07T10:20:16.536369Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:16.519491Z","title":"Framing u-net via deep convolutional framelets: Application to sparse-view ct,","venue":null,"work_id":"1b372216-919e-447e-b569-891b09011a9a","year":2018},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:13.266426Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:1cd3fcc6b59e2d71eaab77b87104367d60251c6a5a8aabe1b6ab49a36303563a","observation_id":"680c6e5a-f6d5-491d-b4bd-614b5d594cc6","resolution":{"observed_at":"2026-08-07T10:20:16.523706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:16.335556Z","title":"Sgd- net: Efficient model-based deep learning with theoretical guarantees,","venue":null,"work_id":"68a9b3a3-8fe9-47b3-a6bf-4e18d8fa0e19","year":2021},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:13.432596Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:89acc2d46371960cd4aa064c79f7fda4acc8fa1875be8c1aa92588b06ac6686c","observation_id":"5af93408-8ff3-4a5d-a243-0641172e5a7a","resolution":{"observed_at":"2026-08-07T10:20:16.481976Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:13.582061Z","title":"Deep con- volutional neural network for inverse problems in imaging,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:13.582061Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:386ba29a22510821fa3d0a9a2d3be53d995868abcc91e875e3dfb460b6d8f5d4","observation_id":"1be374f9-e068-48e3-963a-9e809ea67c9c","resolution":{"observed_at":"2026-08-07T10:20:13.582061Z","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":"2026-08-07T10:20:15.994700Z","title":"Low Dose CT Grand Challenge,","venue":null,"work_id":"915d0bb6-2324-4751-ada0-b2a7794edcdc","year":2017},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:13.758071Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:fce728d603e391fac112771ff893245b0561a6ab18d3b3d3e24f178ae6846ab5","observation_id":"db2f31ca-3c64-402c-89b5-f9be75100594","resolution":{"observed_at":"2026-08-07T10:20:16.156145Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:15.743439Z","title":"Fast calculation of the exact radiological path for a three- dimensional ct array,","venue":null,"work_id":"66c0c9c8-121c-44a2-9ddd-3cd3dc24c268","year":1985},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:13.906696Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:47af62c90db0c046c186ae2e2e635e118864a70d0ba825fd4d9023837869594e","observation_id":"1dd5078c-4de5-4a42-97fa-0f1aa7cecb39","resolution":{"observed_at":"2026-08-07T10:20:15.843407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:14.021773Z","title":"Swinir: Image restoration using swin transformer,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:14.021773Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:3024b2cdc9ec272207eaa2c42d81f0d016a255b79147af7f41818fc4db62ff1f","observation_id":"5397c2e7-bc46-40c0-900e-7dfb67266076","resolution":{"observed_at":"2026-08-07T10:20:14.021773Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.05754","last_updated":"2024-02-19T14:34:59Z","snapshot_observed_at":"2026-07-06T15:01:10.693654Z","submitted_at":"2023-03-10T07:42:49Z","title":"Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.05754","snapshot_observed_at":"2026-08-07T10:20:14.199779Z","title":"Decomposed diffusion sam- pler for accelerating large-scale inverse problems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:14.199779Z"},"links":{"cited_paper":"/paper/2303.05754","citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:fc870610cd2ad5f506b68253e0f6991e398f6d6a8906b41b0b764d187436228d","observation_id":"10be3140-9251-42d4-8470-b35bf3e0b8b6","resolution":{"observed_at":"2026-08-07T10:20:14.199779Z","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":"2026-08-07T10:20:15.486495Z","title":"Ppfm: Image denoising in photon-counting ct using single-step posterior sampling poisson flow generative models,","venue":null,"work_id":"2a54d3f4-bb56-4fd1-90a9-5d6dd2f5a749","year":2024},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:14.322538Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:f338b072f03fcd7ebaff6265c3aa7189934b9031e444626f722a14e59854105c","observation_id":"088243c7-3a84-4c2d-a637-86ce996e6566","resolution":{"observed_at":"2026-08-07T10:20:15.604094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:15.213247Z","title":"Optimal design of fir filter based on improved artificial bee colony algorithm,","venue":null,"work_id":"55447173-0b25-412c-b909-776d162e2512","year":2022},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:14.422948Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:a17ca67d2bb6db4190017b1ed60d2625f36e24f6c881e7aabb3a6df37c884b7b","observation_id":"f73ffac7-ea12-471d-b16a-c753e7825671","resolution":{"observed_at":"2026-08-07T10:20:15.362578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T10:20:14.986849Z","title":"A hybrid equilibrium optimizer algorithm and its optimization for lstm,","venue":null,"work_id":"cfd8a620-e470-4add-9ab0-df966b03cfd9","year":2023},"citing_paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:14.579316Z"},"links":{"citing_paper":"/paper/2506.06400"},"observation_digest":"sha256:ba1b85bf9c36fb6409d72b8cbc05bbde66cbe617e676080a7273c323c2f521f4","observation_id":"5070b76e-193f-4bb8-8026-8f093db38d0d","resolution":{"observed_at":"2026-08-07T10:20:15.072291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.06400","last_updated":"2025-06-06T01:43:35Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-07T10:11:19.192940Z","submitted_at":"2025-06-06T01:43:35Z","title":"ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":1,"verified_fuzzy":29},"total_outbound_references":45},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2506.06400."}