{"as_of":"2026-08-13T19:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:274607a879e7315af8a848554521e12264e0a35729b6ae5d146e26500fc19618","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T18:54:32.650612Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":53,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2209.12104","last_updated":"2022-09-29T20:17:59Z","snapshot_observed_at":"2026-08-13T14:19:50.679212Z","submitted_at":"2022-09-24T23:50:54Z","title":"Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.12104","snapshot_observed_at":"2026-08-12T18:54:32.650612Z","title":", author Wang, G","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.11190","last_updated":"2025-06-03T12:33:29Z","snapshot_observed_at":"2026-08-13T18:28:04.793201Z","submitted_at":"2024-11-17T22:43:07Z","title":"DeepSPV: A Deep Learning Pipeline for 3D Spleen Volume Estimation from 2D Ultrasound Images","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-12T18:54:32.650612Z"},"links":{"cited_paper":"/paper/2209.12104","citing_paper":"/paper/2411.11190"},"observation_digest":"sha256:2527f8e9da5b16aff6405cea65468cfaaa9188175e7c119dd6abeca0e8cc00e7","observation_id":"72d127d6-3c6c-4d66-9fed-fb72bb64e8a0","resolution":{"observed_at":"2026-08-12T18:54:32.650612Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.12104","last_updated":"2022-09-29T20:17:59Z","snapshot_observed_at":"2026-08-13T14:19:50.679212Z","submitted_at":"2022-09-24T23:50:54Z","title":"Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.12104","snapshot_observed_at":"2026-08-12T13:34:23.525659Z","title":"Conversion between ct and mri images using diffusion and score-matching models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.16792","last_updated":"2024-11-25T09:12:55Z","snapshot_observed_at":"2026-08-12T13:20:26.583806Z","submitted_at":"2024-11-25T09:12:55Z","title":"From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T13:34:23.525659Z"},"links":{"cited_paper":"/paper/2209.12104","citing_paper":"/paper/2411.16792"},"observation_digest":"sha256:a3013c3a758ac217c2ef978d5f00c02b080a2360e2ae376cb33243b401a230c0","observation_id":"af2bbf72-e9d1-469d-88d8-05f5eb60fad2","resolution":{"observed_at":"2026-08-12T13:34:23.525659Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.12104","last_updated":"2022-09-29T20:17:59Z","snapshot_observed_at":"2026-08-13T14:19:50.679212Z","submitted_at":"2022-09-24T23:50:54Z","title":"Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.12104","snapshot_observed_at":"2026-08-10T21:59:52.174981Z","title":"Conversion between ct and mri images using diffusion and score-matching models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.03526","last_updated":"2025-01-07T04:42:45Z","snapshot_observed_at":"2026-08-13T18:41:50.438839Z","submitted_at":"2025-01-07T04:42:45Z","title":"FgC2F-UDiff: Frequency-guided and Coarse-to-fine Unified Diffusion Model for Multi-modality Missing MRI Synthesis","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T21:59:52.174981Z"},"links":{"cited_paper":"/paper/2209.12104","citing_paper":"/paper/2501.03526"},"observation_digest":"sha256:bd5a7a1889f566cfe7c1f84df4877eb579306d1bf260dee8ef493eac0c9453dc","observation_id":"c5c9d1d2-f563-4717-bc3a-57260ba64804","resolution":{"observed_at":"2026-08-10T21:59:52.174981Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.12104","last_updated":"2022-09-29T20:17:59Z","snapshot_observed_at":"2026-08-13T14:19:50.679212Z","submitted_at":"2022-09-24T23:50:54Z","title":"Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.12104","snapshot_observed_at":"2026-08-07T04:16:40.760132Z","title":"Available from: https://arxiv.org/abs/2209.12104","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.11297","last_updated":"2025-06-29T05:10:46Z","snapshot_observed_at":"2026-08-08T23:13:36.221901Z","submitted_at":"2025-06-12T20:57:02Z","title":"Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T04:16:40.760132Z"},"links":{"cited_paper":"/paper/2209.12104","citing_paper":"/paper/2506.11297"},"observation_digest":"sha256:966caf66db95899004352935e40f84e5a85fa2695ac6baa4c679344a0dc1d963","observation_id":"9998b510-4c6a-4d62-98e8-67b4bff8916d","resolution":{"observed_at":"2026-08-07T04:16:40.760132Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.12104","last_updated":"2022-09-29T20:17:59Z","snapshot_observed_at":"2026-08-13T14:19:50.679212Z","submitted_at":"2022-09-24T23:50:54Z","title":"Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models","version":2},"cited_work":{"arxiv_id":"2209.12104","doi":"10.48550/arxiv.2209.12104","metadata_source":"arxiv_reference","pith_arxiv_id":"2209.12104","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Conversion between ct and mri images using diffusion and score-matching models","venue":"arXiv (Cornell University)","work_id":"e22293c4-2961-41b7-8919-86147f00a1e9","year":2022},"citing_paper":{"arxiv_id":"2603.28498","last_updated":"2026-04-06T00:58:20Z","snapshot_observed_at":"2026-08-12T02:38:35.184656Z","submitted_at":"2026-03-30T14:34:32Z","title":"MRI-to-CT synthesis using drifting models","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-14T01:30:19.472088Z"},"links":{"cited_paper":"/paper/2209.12104","citing_paper":"/paper/2603.28498"},"observation_digest":"sha256:44c3734b18519a3a47f8add24cc188e7806e8de032e90813c8f85d0357c5d0d2","observation_id":"e6e2bcb4-28f1-4a83-9197-e49feb1c0176","resolution":{"observed_at":"2026-05-14T01:33:35.072617Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.12104","last_updated":"2022-09-29T20:17:59Z","snapshot_observed_at":"2026-08-13T14:19:50.679212Z","submitted_at":"2022-09-24T23:50:54Z","title":"Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models","version":2},"cited_work":{"arxiv_id":"2209.12104","doi":"10.48550/arxiv.2209.12104","metadata_source":"arxiv_reference","pith_arxiv_id":"2209.12104","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Conversion between ct and mri images using diffusion and score-matching models","venue":"arXiv (Cornell University)","work_id":"e22293c4-2961-41b7-8919-86147f00a1e9","year":2022},"citing_paper":{"arxiv_id":"2604.22212","last_updated":"2026-04-24T04:30:02Z","snapshot_observed_at":"2026-08-11T14:41:39.350558Z","submitted_at":"2026-04-24T04:30:02Z","title":"Multimodal Diffusion to Mutually Enhance Polarized Light and Low Resolution EBSD Data","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-08T09:27:46.993773Z"},"links":{"cited_paper":"/paper/2209.12104","citing_paper":"/paper/2604.22212"},"observation_digest":"sha256:8119c471c98f597473ae3deebb802309cb197b8a4eb4990f877336f7dc910346","observation_id":"5e4b1de4-0925-4c59-ad20-42ce953a08cb","resolution":{"observed_at":"2026-05-11T20:21:09.713606Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.12104","last_updated":"2022-09-29T20:17:59Z","snapshot_observed_at":"2026-08-13T14:19:50.679212Z","submitted_at":"2022-09-24T23:50:54Z","title":"Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models","version":2},"cited_work":{"arxiv_id":"2209.12104","doi":"10.48550/arxiv.2209.12104","metadata_source":"arxiv_reference","pith_arxiv_id":"2209.12104","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Conversion between ct and mri images using diffusion and score-matching models","venue":"arXiv (Cornell University)","work_id":"e22293c4-2961-41b7-8919-86147f00a1e9","year":2022},"citing_paper":{"arxiv_id":"2606.17675","last_updated":"2026-06-16T08:42:26Z","snapshot_observed_at":"2026-08-08T04:57:36.456123Z","submitted_at":"2026-06-16T08:42:26Z","title":"Do We Really Need Diffusion? A Fast U-Net for Paired Medical Image Translation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-27T01:48:22.537244Z"},"links":{"cited_paper":"/paper/2209.12104","citing_paper":"/paper/2606.17675"},"observation_digest":"sha256:78902fe29dbe1baa3c61994e615a46bdf699475efca2751ce0860d8093dbb713","observation_id":"1e2ed848-51e0-4373-9ff3-5b6dcbc47cdb","resolution":{"observed_at":"2026-06-27T01:50:21.305091Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.12104","last_updated":"2022-09-29T20:17:59Z","snapshot_observed_at":"2026-08-13T14:19:50.679212Z","submitted_at":"2022-09-24T23:50:54Z","title":"Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models","version":2},"cited_work":{"arxiv_id":"2209.12104","doi":"10.48550/arxiv.2209.12104","metadata_source":"arxiv_reference","pith_arxiv_id":"2209.12104","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Conversion between ct and mri images using diffusion and score-matching models","venue":"arXiv (Cornell University)","work_id":"e22293c4-2961-41b7-8919-86147f00a1e9","year":2022},"citing_paper":{"arxiv_id":"2606.24317","last_updated":"2026-06-23T08:54:50Z","snapshot_observed_at":"2026-08-08T14:32:11.808432Z","submitted_at":"2026-06-23T08:54:50Z","title":"Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-25T21:40:54.070705Z"},"links":{"cited_paper":"/paper/2209.12104","citing_paper":"/paper/2606.24317"},"observation_digest":"sha256:b3a909d405925499f7aae236438a6e31510bd6509dada41f2999f147c4b9eaad","observation_id":"a85a4a29-4dd4-4fee-85e6-0a745f93f1b6","resolution":{"observed_at":"2026-07-04T19:10:05.200190Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2209.12104/citation-record","integrity":"/paper/2209.12104/integrity","json":"/paper/2209.12104/citation-record.json","paper":"/paper/2209.12104"},"outbound":[],"paper":{"arxiv_id":"2209.12104","last_updated":"2022-09-29T20:17:59Z","latest_version":2,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-13T14:19:50.679212Z","submitted_at":"2022-09-24T23:50:54Z","title":"Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2209.12104."}