{"as_of":"2026-08-13T09:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d136f1491d7ccd19df799bfdae730c3a7302b663cfe7df1e07b933a175e8fd87","coverage":[{"denominator":67,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":67,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T22:18:54.418487Z","state":"measured"},{"denominator":69,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":69,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-25T06:58:18.999912Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-25T07:00:27.015226Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"cited_work":{"arxiv_id":"2506.22012","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.22012","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"a031c6ca-4bd2-424f-9ff9-93494babc7f5","year":2025},"citing_paper":{"arxiv_id":"2601.14180","last_updated":"2026-05-22T15:31:34Z","snapshot_observed_at":"2026-08-11T13:13:19.870497Z","submitted_at":"2026-01-20T17:35:02Z","title":"Progressive $\\mathcal{J}$-Invariant Self-supervised Learning for Low-Dose CT Denoising","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-16T12:27:38.128534Z"},"links":{"cited_paper":"/paper/2506.22012","citing_paper":"/paper/2601.14180"},"observation_digest":"sha256:1a88d2048ddaffc9a09f5ead3c06f965f5e09bbe64604369b76ca707d21c03a4","observation_id":"f0be44f6-4bcd-429c-8220-9c7a4608bb31","resolution":{"observed_at":"2026-05-16T12:27:52.207168Z","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":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"cited_work":{"arxiv_id":"2506.22012","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.22012","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"a031c6ca-4bd2-424f-9ff9-93494babc7f5","year":2025},"citing_paper":{"arxiv_id":"2601.14180","last_updated":"2026-05-22T15:31:34Z","snapshot_observed_at":"2026-08-11T13:13:19.870497Z","submitted_at":"2026-01-20T17:35:02Z","title":"Progressive $\\mathcal{J}$-Invariant Self-supervised Learning for Low-Dose CT Denoising","version":4},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-25T06:58:18.999912Z"},"links":{"cited_paper":"/paper/2506.22012","citing_paper":"/paper/2601.14180"},"observation_digest":"sha256:916c0c513723c1d6ff4010d8d3e3e35335e3a7d3597a153cdd559b5a8ff6ccf9","observation_id":"8159c093-5db4-4989-a194-f2005d26fcf9","resolution":{"observed_at":"2026-05-25T07:00:27.017949Z","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/2506.22012/citation-record","integrity":"/paper/2506.22012/integrity","json":"/paper/2506.22012/citation-record.json","paper":"/paper/2506.22012"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:09.393014Z","title":", author Borgnia, E","venue":null,"work_id":"683e7037-80a1-4682-ac51-87a0ce4676a6","year":2023},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:46.519263Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:acbbdb9be75e0e56a32ddaf9aff9ae21745007a238d24621138f123fab0ae40b","observation_id":"50bb5fee-0ef6-4282-b2e7-b35e93d31fec","resolution":{"observed_at":"2026-08-06T22:19:09.545066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:09.282015Z","title":", author Coll, B","venue":null,"work_id":"9cea5aac-e37d-4497-b869-f725a9a8af60","year":2005},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:46.598784Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:774de6cbb535546ef5e6bf40c541e3523e934f30004f3986cad964a5aa3b0ee3","observation_id":"08670acd-9e13-4330-b66e-4a933d4dccba","resolution":{"observed_at":"2026-08-06T22:19:09.331172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:09.052043Z","title":", year 2008","venue":null,"work_id":"003d03b5-501e-453b-9401-c2b69b769b7e","year":2008},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:46.742925Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:4e58def7d3885f10f27c735fc3fc8d78bc4a2b2a38184df6d4df8d1bf3cc5c6b","observation_id":"99b1b11b-2b65-4047-9bbf-b175cbe00333","resolution":{"observed_at":"2026-08-06T22:19:09.139776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:08.825089Z","title":", author Leng, S","venue":null,"work_id":"09912013-b645-49bb-9e35-fa22ee7b6fbb","year":2016},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:46.870985Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:bb69685094edd258069082a4eb30e39f34f233863bc48631df5cc6061bc957a1","observation_id":"0aacd6bd-08a2-4c41-9fcd-ff61d76a6500","resolution":{"observed_at":"2026-08-06T22:19:08.912995Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:08.487181Z","title":", author Zhang, Y","venue":null,"work_id":"fc03cd89-d7ad-4756-b141-ca9aa27a1898","year":2017},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:47.001489Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:ccafa5a33318dd23eb85b0dbd97d22dce121b3187277726b9e0b75a16bff993d","observation_id":"728289af-6de0-4dd0-b0ba-c0df1f99927d","resolution":{"observed_at":"2026-08-06T22:19:08.664899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:08.213298Z","title":", author Foi, A","venue":null,"work_id":"0666aa4b-af3c-41b4-a029-d1a1f2464933","year":2007},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:47.181194Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:db30a034e6a3f315fd97b467f72241740556d6f5b375552fe89f18cdc12d73d7","observation_id":"6581aeea-1b34-4208-8071-53bb0294c344","resolution":{"observed_at":"2026-08-06T22:19:08.343640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:07.896015Z","title":", author Kite, T.D","venue":null,"work_id":"26508ca1-6a56-4632-8208-02115c2ebe8e","year":2000},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:47.278014Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:44354821cff77f9ffdf3aac9c1f6803919f1c2f1ae93032d4d070c6af75113ed","observation_id":"f88f9492-4161-442d-bcce-647926474610","resolution":{"observed_at":"2026-08-06T22:19:08.109417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:07.657664Z","title":", author Nichol, A","venue":null,"work_id":"c6c6b3e9-8c01-4fc5-b68f-5949ee2d5caa","year":2021},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:47.374010Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:e1f1da568833f754a8f073cb7623872e2f59a80ee4723e5ba4d932550fdf5c2e","observation_id":"0a3a5fb0-2fe7-4700-a79f-b838a0908fcf","resolution":{"observed_at":"2026-08-06T22:19:07.789624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:07.458565Z","title":", author Pelc, N.J","venue":null,"work_id":"2e040b5c-b2b4-47bf-9511-a93a93369834","year":2019},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:47.484265Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:3c1f1437313bc7d22d472e1dbc0b55565607126bf1b19a64d9bc6a394361a21e","observation_id":"d37e0dad-b93d-4399-ac0d-4f0f138f096e","resolution":{"observed_at":"2026-08-06T22:19:07.560329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:07.214398Z","title":", author Lyu, Z","venue":null,"work_id":"8bf06b95-5c89-4032-9d29-1798da2569cc","year":2023},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:47.595657Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:70bc6a206babca9892b021537bce7bb93bed513b9733b2d613de24d1ea72bf9b","observation_id":"44995688-d161-464a-91cc-8d0e5bbd816b","resolution":{"observed_at":"2026-08-06T22:19:07.318004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:06.955552Z","title":", author Lee, T.C","venue":null,"work_id":"74e166bb-f9cd-4eed-974b-f653c6cc56da","year":2016},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:47.722613Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:afba2014133c1e93010222416687467234d48c89c65722b4237e2e3da4136707","observation_id":"4c7eb4d8-d2a6-4c1a-989e-5fd9e3353b28","resolution":{"observed_at":"2026-08-06T22:19:07.069340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:06.776381Z","title":", author Dong, S","venue":null,"work_id":"21d9f802-9c08-4fbf-9c6c-2cbb6d6eeaa9","year":2023},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:47.823613Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:ee2cc22eb1775b781f8fe932e70e7672ecfbee5fa6831a093ff67257f6328097","observation_id":"1ab78de9-8a62-4c37-a236-5b7534d08b08","resolution":{"observed_at":"2026-08-06T22:19:06.825335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:06.496488Z","title":", author Li, Z","venue":null,"work_id":"dc2d0319-6ac4-432e-aad2-7389eb025bb4","year":2024},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:47.957409Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:2fb6d30b159a646268ea79c93e5300641d1aac9c57368b75252f0ed382fd70fa","observation_id":"2ed804f7-698a-47b1-a64d-fb1abba8b967","resolution":{"observed_at":"2026-08-06T22:19:06.623645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:06.230936Z","title":", author Shan, H","venue":null,"work_id":"ecd29e35-8135-4d1f-9d95-2558c90f8ae3","year":2022},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:48.035392Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:814092d495b662026309c4676c4a5788830902c36ef9ba731c6c7c03667e1a73","observation_id":"e66bf56c-1c5e-4bc2-9c2d-024b4e937bfa","resolution":{"observed_at":"2026-08-06T22:19:06.370969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:05.948021Z","title":", author Tirer, T","venue":null,"work_id":"9a5b33c0-81bd-4539-a10c-0367cb1ea2af","year":2024},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:48.116281Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:bcbc9bfe924d36344ee0c6f980a42a612c4fd897c7db6e1655789257ce81ee9a","observation_id":"df045d07-f259-455c-8aa5-f4ea41d4359e","resolution":{"observed_at":"2026-08-06T22:19:06.132374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:05.744580Z","title":", author He, Y","venue":null,"work_id":"4382de22-6769-480a-9cd0-bdf893d3396d","year":2022},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:48.264086Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:ff4deea1e91a0a5880845d6abda1bbc2bb4e41b39edf73218afdb847c9235a36","observation_id":"e5bb030b-0d8d-4c23-b1a2-c18dc1f8b42f","resolution":{"observed_at":"2026-08-06T22:19:05.849943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:05.577646Z","title":", author Ren, L","venue":null,"work_id":"e929dea5-77a1-4b89-8ac4-1be648b31403","year":2021},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:48.419654Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:17f913846a3df57fabfb286685a370a33dc2fdea6ab5245cb1b63b7da66397f4","observation_id":"916f66b7-f68b-4ade-945f-42cfba65ec34","resolution":{"observed_at":"2026-08-06T22:19:05.641249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:05.348814Z","title":", author Jain, A","venue":null,"work_id":"a11959a0-c3b7-40ca-9c8d-f1cde61b8f29","year":2020},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:48.518340Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:d7504d3729cb0ca72a2afcdeaa361ceaf967770daacc08c6321ae247c3affa85","observation_id":"c7247824-f2da-480a-9118-137779fd79d5","resolution":{"observed_at":"2026-08-06T22:19:05.502596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:05.038369Z","title":", author Saharia, C","venue":null,"work_id":"a213468e-3400-4509-bb0c-99f96a6bb144","year":2022},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:48.646981Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:770e41a9af936caaf75ec80248a80b880592079124e5a6f238240e7542f5e41a","observation_id":"535576f9-ebb8-4653-9ba9-1c0a7e5a3e2a","resolution":{"observed_at":"2026-08-06T22:19:05.146578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:04.699411Z","title":", author Young, S","venue":null,"work_id":"dcd1c395-2158-436a-92e2-d0cfa4e08a79","year":2016},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:48.728741Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:5fc44c2f932b30b0a15e3d4752e562ab060f2a4199cf2214e0242bde096dc83e","observation_id":"5b0f4e2a-5c47-4923-9ebb-89a46d304b92","resolution":{"observed_at":"2026-08-06T22:19:04.869905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:04.451765Z","title":", year 2003","venue":null,"work_id":"f998be3d-4c36-47db-96be-504917910d34","year":2003},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:48.830427Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:dca66d15a9bf50ad60c528c4150bc7a2bf63f30fc6b1891e8fe70c2ab7c9a477","observation_id":"5d245a61-76d6-40fa-b942-34212a998c22","resolution":{"observed_at":"2026-08-06T22:19:04.624500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:04.100405Z","title":", author Zhang, J","venue":null,"work_id":"da44c3a6-db91-42d5-b5d3-0f080f97f27e","year":2022},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:48.925960Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:17c7aad750f6b08dfb0c889df4ebe73d85277c3cfc6c29f32583bba8b983fdbe","observation_id":"8cacf678-d5aa-4307-b2d1-3cdf8458e295","resolution":{"observed_at":"2026-08-06T22:19:04.268571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:03.878826Z","title":", author Elad, M","venue":null,"work_id":"21b3b131-6650-4e83-b235-cfcb52d50d1a","year":2022},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:48.991484Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:9ec1c80fe572127660cac20abfeb7777395b220258611d843f907b11ddee1e56","observation_id":"6fb3451b-119a-494f-965f-08fb180d2c5e","resolution":{"observed_at":"2026-08-06T22:19:03.994041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:03.696929Z","title":", author Aghdam, E.K","venue":null,"work_id":"74d99016-55a2-45a1-82bb-041e5f6921e6","year":2023},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:49.068376Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:6d342016c0d8d2c0fa73128b42149cd50ed634d5c4c4a04bd4dae2ef62bc26ce","observation_id":"e8e8d2ec-ed27-4310-bb64-afd278043f30","resolution":{"observed_at":"2026-08-06T22:19:03.772537Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:03.474668Z","title":", author Munkberg, J","venue":null,"work_id":"3cd23a10-eef7-4bf4-b861-4f40ae22e53a","year":2018},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:49.128624Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:03f69e01581fb6dd56307c9231c58804b33658e2442851aadaa37e361a435ff3","observation_id":"0ea556e3-23f1-4db3-9822-93005eb12088","resolution":{"observed_at":"2026-08-06T22:19:03.561450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:03.254551Z","title":", author Bian, Z","venue":null,"work_id":"fc695770-1533-490f-bfe2-c3dc0488ef4b","year":2022},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:49.260701Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:286072a81ebbc6ad8fc11d70eca3c313695bc5a057913899d9afa3bc769488c8","observation_id":"e5a21689-4f87-46c1-9034-29468ff65437","resolution":{"observed_at":"2026-08-06T22:19:03.356639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:03.070497Z","title":", author Li, X","venue":null,"work_id":"27dfa1f9-f370-435f-bc34-5274ee8b0ebe","year":2004},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:49.367487Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:35febee2b312933d4993d148bfa21f68c77e3bb23219bf0f73f760897370b09d","observation_id":"4832e4a6-6edf-468b-a05e-09e68c534625","resolution":{"observed_at":"2026-08-06T22:19:03.125873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:02.891728Z","title":", author Xie, Y","venue":null,"work_id":"90e66a27-21bf-426f-b9e7-2dadf7f57ae1","year":2024},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:49.410818Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:1217b0828ec5e66a611ccfe881ecd2a83c2f7b3d2b93b386ad4fc673c25b58d7","observation_id":"90929527-1003-48e3-84b4-4fdad050ade6","resolution":{"observed_at":"2026-08-06T22:19:02.963671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:02.741755Z","title":", author Zhou, Y","venue":null,"work_id":"0b1ad0cc-5049-44a0-8c66-3020068acdb9","year":2022},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:49.571902Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:ef430c6b027f1e0e9c13ab4fd0565c69499d793d42491e690b81aef9fb6255b7","observation_id":"d98ac577-b15e-4ec4-9b3b-92cded30fb8b","resolution":{"observed_at":"2026-08-06T22:19:02.830242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:02.581328Z","title":", author Gao, Q","venue":null,"work_id":"8136e163-62c9-4360-9ef6-94e22270faa8","year":2024},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:49.705852Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:6ba626d94123baa924765412e97d2902289dcf67b0ed706daf59ec8e752ade08","observation_id":"08eda754-d99e-4921-84fe-d65748f4f33c","resolution":{"observed_at":"2026-08-06T22:19:02.652699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:02.321272Z","title":", author He, Y","venue":null,"work_id":"286bc7f8-3e97-4272-b242-ff1d7a531a6a","year":2024},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:49.843032Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:98a2cdc68ae57874f9a537e8fb4e7183af28d85163ae6a1c3ddce7fba9a149c8","observation_id":"26d2853d-d5ff-4318-b5fa-a44a797eb517","resolution":{"observed_at":"2026-08-06T22:19:02.459737Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:02.093196Z","title":", author Huang, J","venue":null,"work_id":"ae16abac-8168-448f-b3b1-97dbff2b5f40","year":2011},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:49.990761Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:8016a0b71e2310fbe2d59ed314fe4d7ebcb25c688e6829c1f3d529974db8b368","observation_id":"bc893584-79da-4739-969b-2b8cd10c58ac","resolution":{"observed_at":"2026-08-06T22:19:02.210590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:01.968663Z","title":", author Liang, Z","venue":null,"work_id":"c393efab-cea0-43b9-8d5d-23d2843d5e6d","year":2012},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:50.083989Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:68d77b3ace93349eb6689d5cf3d492f7ffd2225bdb58e3d8d710451e6f278ddf","observation_id":"81ac2ffa-a75f-4f48-943f-cd78248c0d6a","resolution":{"observed_at":"2026-08-06T22:19:02.032590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:01.805275Z","title":", author Ren, Y","venue":null,"work_id":"1c3ddd0a-c225-434b-8a0c-4db1a7efbec9","year":2021},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:50.173556Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:640c58f823e2cad8292c1942fde98666c3624988283784ac77203d9e7602f08b","observation_id":"ac978d05-c2c5-4f51-8c4c-082d01402b0d","resolution":{"observed_at":"2026-08-06T22:19:01.862962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:01.623313Z","title":", author Rioux, J","venue":null,"work_id":"d20a5a4d-6192-48b7-87cc-563b5ea3dbac","year":2019},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:50.292741Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:ea18c11a55814308ca208f69bd8fe739409eb5f5978f0c10f927aea76a74f78b","observation_id":"9b203167-927e-4a69-9285-0c30cf76677b","resolution":{"observed_at":"2026-08-06T22:19:01.759935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:01.386942Z","title":", author Chen, B","venue":null,"work_id":"e0215942-8071-4f7d-9074-0d02ef322233","year":2021},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:50.416756Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:8cd8aef551b4c02bd5a6d2a9492168a70f71d269c379134ae5609dced1599c31","observation_id":"2ac0a4d7-85ab-44be-a753-b0f667b4044e","resolution":{"observed_at":"2026-08-06T22:19:01.498906Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:01.203738Z","title":", author Li, M","venue":null,"work_id":"8668717b-ced6-4c43-9ba2-f842e2db400d","year":2022},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:50.568478Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:0b5c3456ea2a06f2f86c1a0e5bf85c6e52dd3de5ad3e658c0e00dbed365226d0","observation_id":"751b9589-8ce8-47a3-b2ec-fecd51cc0e4d","resolution":{"observed_at":"2026-08-06T22:19:01.314690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:01.039786Z","title":", author Li, M","venue":null,"work_id":"789253bb-1441-473e-b21b-df48c881dd76","year":2022},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:50.773820Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:6120cbec4b7ff9346dfbc510069699e2230cb15644569720cd136634c683b448","observation_id":"ab771c52-ac6b-4e42-8735-9dc2dbfb63ef","resolution":{"observed_at":"2026-08-06T22:19:01.123192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2009.14788","last_updated":"2020-09-29T09:20:22Z","snapshot_observed_at":"2026-08-12T09:58:35.528405Z","submitted_at":"2020-09-29T09:20:22Z","title":"TorchRadon: Fast Differentiable Routines for Computed Tomography","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.14788","snapshot_observed_at":"2026-08-06T22:18:50.932653Z","title":", year 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:50.932653Z"},"links":{"cited_paper":"/paper/2009.14788","citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:7d652f240512402e39af746916244a7e0eb19352cf8f48aa0b0a4d1e53a4629d","observation_id":"00f49c67-61b4-41c8-a7dc-e1e451bcc691","resolution":{"observed_at":"2026-08-06T22:18:50.932653Z","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":"2026-08-06T22:19:00.850894Z","title":", author Padole, A","venue":null,"work_id":"31c481ab-ef64-4068-a69d-11b72784f0bc","year":2019},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:51.043902Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:5aa966127cb48323d7c809355355e6cd74c787b4a1861256cdc23cc243c09b1a","observation_id":"24ad6022-2cdb-4ed9-a0dc-1fbd2febd4a6","resolution":{"observed_at":"2026-08-06T22:19:00.907755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:00.551503Z","title":", author Zhang, Y","venue":null,"work_id":"97f0747b-2241-4933-bd7f-a6b8a70fe9aa","year":2018},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:51.182966Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:65c63b288308c2a6715c70b9ee43f99c4082868df489da3a8e239fa309c90256","observation_id":"d7a0258a-b8b7-44af-b0ee-b42b9ac6d939","resolution":{"observed_at":"2026-08-06T22:19:00.702970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:00.282661Z","title":", author Awate, S.P","venue":null,"work_id":"e56d39de-85f2-47d4-a454-146009156d8c","year":2024},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:51.299054Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:3914e66e075d2beae813bfb08ca530f0d7ec73ad5eb3240cdea110097ae7eb79","observation_id":"74c6633f-e312-4f8a-be77-c7e515bd2b4a","resolution":{"observed_at":"2026-08-06T22:19:00.426764Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:19:00.021443Z","title":", author Bovik, A.C","venue":null,"work_id":"c9f5b1da-4aa6-4b6f-b9a3-6cdb36213729","year":2006},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:51.427997Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:cb197f16c06b807be4a0d9417a2dbb8f442a7c2b30e78d70af2891fa2c3fe2eb","observation_id":"e3f290e7-455d-4d91-a129-f9b479b43cb5","resolution":{"observed_at":"2026-08-06T22:19:00.123955Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:59.738676Z","title":", author Lipson, J","venue":null,"work_id":"44992928-2fa0-4e2a-a3ca-cc90312f05fc","year":2009},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:51.555884Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:79391ec8ae008632e781de815f05f3c24aa8d7e6959c1bb94c07346d7d6ac543","observation_id":"a2f3f0e3-82bf-4df3-89dd-c8e461c82cb4","resolution":{"observed_at":"2026-08-06T22:18:59.877182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:59.510413Z","title":", author Baeyens, P.F","venue":null,"work_id":"6d608dcc-6f76-4bac-b4c5-202bc12a7382","year":2009},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:51.664773Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:402be288bad2dad92a81bb152f141e79a1b2e54f8b9536cb0057d6a658d80929","observation_id":"554fbc33-86e6-45b5-9da1-3f61dcae121b","resolution":{"observed_at":"2026-08-06T22:18:59.608670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:59.170401Z","title":", author Weiss, E","venue":null,"work_id":"ef255b89-0e6f-4ac4-adf7-4bbaf0b9496c","year":2015},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:51.789203Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:c9bbe48861739fbad83ab44b12c38649c2829befdcc18d0807a8c965a4124bd0","observation_id":"cd62df3c-fb66-41f2-8b39-4f1003edee42","resolution":{"observed_at":"2026-08-06T22:18:59.328735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:58.898851Z","title":", author Meng, C","venue":null,"work_id":"e7a8d756-ec56-4fbe-b0c5-658389b6ad32","year":2021},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:51.907974Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:dc19d1c7b9068a7ee91aecb615c6cd6fab5f8133148041302d0341c63b03cdc5","observation_id":"555db82c-d7dd-4d1d-aef2-68afc81ed74a","resolution":{"observed_at":"2026-08-06T22:18:59.021492Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:58.540444Z","title":", author Sohl-Dickstein, J","venue":null,"work_id":"2503fd4e-0dc4-48ec-90e1-d78aef6f2b5b","year":2021},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:52.107438Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:dd5ed7516b3b67a4d67992d3f95d52544cbaad62c8bd06551fd93d51dc1bd2ce","observation_id":"ad9ca720-95cd-405e-b165-4d34a96ed507","resolution":{"observed_at":"2026-08-06T22:18:58.693095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:58.329931Z","title":", author Palenstijn, W.J","venue":null,"work_id":"22b232f8-2aae-4f3d-a7ed-2105981aeafa","year":2016},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:52.269296Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:a7f8c217562f3eb1616b56fd2a7945036899e4df25f09efd86c14ff8602411c1","observation_id":"ae3f8584-e0ad-48ab-af6c-ae465b25c7b3","resolution":{"observed_at":"2026-08-06T22:18:58.406693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:58.036889Z","title":", author Ye, J.C","venue":null,"work_id":"e57a27c8-d7c2-4958-87d0-d2d224c67a4b","year":2020},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:52.400050Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:ee1c09019e86fa7c05f437d35d79dbc61162d0ca94d91bcda41b60c04c825bf5","observation_id":"2dd7253c-64b9-4e67-a15e-e0361af8fad9","resolution":{"observed_at":"2026-08-06T22:18:58.253373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:57.797274Z","title":", author Zhou, J","venue":null,"work_id":"0f027276-7ddd-4e62-95d1-8bac70462113","year":2017},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:52.508167Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:b7a34d41e64ac40a98fac37ec7f07d9f0611d2937460181748215ce6c964223a","observation_id":"49744ce6-c6fc-4f5e-94a4-a20957b9c02e","resolution":{"observed_at":"2026-08-06T22:18:57.933974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:57.583958Z","title":", author Li, T","venue":null,"work_id":"437e26a9-6534-4752-b6ae-06cdb73ac5cf","year":2006},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:52.574576Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:5de510c0e8369da824d7673a88e76eb886263fff0810cdee1cba7a2b8c3fe0d2","observation_id":"202ded17-9e87-4753-9e0c-7c7b95d5af67","resolution":{"observed_at":"2026-08-06T22:18:57.686275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:57.379913Z","title":", author Bovik, A.C","venue":null,"work_id":"0d2b2d3c-275d-497c-a8dd-f4f848a9f387","year":2004},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:52.660043Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:ed49e8a62df68f449d68a95b75f1c093debdab018b71cb4a4e2f38427cf62f5f","observation_id":"84efaf9d-f1be-4953-80c5-666380bc9eb7","resolution":{"observed_at":"2026-08-06T22:18:57.488414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:57.140641Z","title":", author Zhang, Z","venue":null,"work_id":"9070a4f1-49ad-4010-8920-2482d9d3a90c","year":2023},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:52.756025Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:460647116bcb109464a61c90bbf95caafe70235d2f6dee8248098bb124b599ec","observation_id":"656b66c0-f41a-4126-b8c0-657b690bfa28","resolution":{"observed_at":"2026-08-06T22:18:57.246638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:56.841987Z","title":", author Lu, Z","venue":null,"work_id":"c21f30ff-f353-4f0f-b6db-f5d9636c16c2","year":2021},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:52.888906Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:0c74cc83d2e66b68edca2cd5c84e4dea1eec9b82438113a8b0ed57394b60f904","observation_id":"31ebef11-2975-4bc2-862d-df35cf68671c","resolution":{"observed_at":"2026-08-06T22:18:56.987246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:56.657929Z","title":", author Yurt, M","venue":null,"work_id":"3e36105e-bc86-4d5d-ba84-e95031218757","year":2023},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:53.004314Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:a60687e070ad37e0c979c6ca60f4ded07c54d83b96768e1a5eda8b7e29a06115","observation_id":"cbdc3112-7036-45ee-80a2-027732689a67","resolution":{"observed_at":"2026-08-06T22:18:56.718633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:56.394284Z","title":", author Zeng, D","venue":null,"work_id":"b584f1ac-5422-47fb-a289-b72faa1a529b","year":2017},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:53.159871Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:9739cd4f92a5d98692c743db364d39638850687671459b602db311d6a3302ce6","observation_id":"aa9077e5-0d41-4c41-bc3a-d918a32587c5","resolution":{"observed_at":"2026-08-06T22:18:56.522234Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2302.02398","last_updated":"2023-02-05T14:53:07Z","snapshot_observed_at":"2026-08-05T03:46:47.847975Z","submitted_at":"2023-02-05T14:53:07Z","title":"Diffusion Model for Generative Image Denoising","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.02398","snapshot_observed_at":"2026-08-06T22:18:53.295007Z","title":", author Yuan, M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:53.295007Z"},"links":{"cited_paper":"/paper/2302.02398","citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:580b21eb57de5ffb83c13c29b0942212b453b39b326860e1ebd7cf3d939e76cb","observation_id":"9ba7fd90-ebfc-49c4-bc45-b10702eef98a","resolution":{"observed_at":"2026-08-06T22:18:53.295007Z","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":"2026-08-06T22:18:56.144302Z","title":", author Li, Z","venue":null,"work_id":"f00258f7-62d7-4023-88dc-cb81b9c6e083","year":2022},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:53.392901Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:3f7976c5deeca81eb06634b6cedf89eb3eb7d6c6f9b9cbe229b239b96c352ee5","observation_id":"3fa28f01-924c-466a-a76c-99a401204ea4","resolution":{"observed_at":"2026-08-06T22:18:56.285175Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:55.944752Z","title":", author Zhao, Q","venue":null,"work_id":"97551d4f-9155-4e07-9c76-496c302a8511","year":2019},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:53.517349Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:6575c71f1c1a3212b89b7da222b6a3d5282e875d278941d5c1f125720bbbb904","observation_id":"9161e3e8-bbfe-41c9-8af5-edb9aedfca85","resolution":{"observed_at":"2026-08-06T22:18:56.032234Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:55.691286Z","title":", author Zhang, H","venue":null,"work_id":"8f22cd26-a16c-47b3-b593-31bf6d366627","year":2023},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:53.645398Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:cffa9133ac5a29a44c9ea722a1bd037219c2473286006e4cb78e25ceadf1abc9","observation_id":"dde5dc3f-d7d2-46bc-95c5-4e6c9a8f2cb9","resolution":{"observed_at":"2026-08-06T22:18:55.832218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:55.521236Z","title":", author Shiung, M","venue":null,"work_id":"30a6c23c-87a4-475b-8cb5-bbcc87fbeb88","year":2012},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:53.763308Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:26582ef9c64a56fdca35b36cec9689599f5d1d1c8462313e7aaeedd788dda90b","observation_id":"58ecdfb3-8525-4de9-9a7b-e48b9e31613b","resolution":{"observed_at":"2026-08-06T22:18:55.585192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:55.251682Z","title":", author Huang, J","venue":null,"work_id":"6ae149b8-f681-43bd-9702-ed50f533b19b","year":2015},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:53.853456Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:43e573e162eb3dac0b8f9c99832cb2f00d8554e32064a80abf3fc3b3cfe5e4f1","observation_id":"9a7b2fe9-1da2-469e-9321-bbfa194132b4","resolution":{"observed_at":"2026-08-06T22:18:55.403789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:55.015099Z","title":", author Zhang, L","venue":null,"work_id":"19fc6364-6e84-4f69-ae58-1766aea92df0","year":2011},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:53.954069Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:2b5793d2b9b6eb0e16c76a3f21ecfd0bdcaf7cadc64f1b49a9c62881304179e0","observation_id":"cedfe91f-46ca-4a40-8f5d-d98274636757","resolution":{"observed_at":"2026-08-06T22:18:55.155160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:54.767200Z","title":", author Chen, X","venue":null,"work_id":"590d0cb8-63af-4217-b386-eb19d8797e4e","year":2022},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:54.115062Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:a16f3d10df95acf079637b39ec58e61370b1920b8bd76cf555683f1d30feb3b6","observation_id":"4498dea2-2765-4b2e-aac9-bfa3c718bfff","resolution":{"observed_at":"2026-08-06T22:18:54.885506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:54.570647Z","title":", author Zhang, K","venue":null,"work_id":"21103c99-eb9d-4429-8661-9cfc68689f42","year":2023},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:54.250690Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:96ff282eb97cbad064ab9871c1face84f7ef20d1d34c1e453c96e604801df097","observation_id":"decdd408-733c-4d4a-bdd8-795c60a2e6c2","resolution":{"observed_at":"2026-08-06T22:18:54.616085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:54.418487Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-06T22:18:54.418487Z"},"links":{"citing_paper":"/paper/2506.22012"},"observation_digest":"sha256:8b92031c6c6a07288a882c77ef954caaf772e0fc4e140bffb7e347918d2d97d0","observation_id":"bc2433db-295d-404c-b34e-d3ef6b4182d4","resolution":{"observed_at":"2026-08-06T22:18:54.418487Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.22012","last_updated":"2025-06-27T08:24:55Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-12T09:59:04.395407Z","submitted_at":"2025-06-27T08:24:55Z","title":"Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction"},"reference_resolution":{"displayed":67,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":64},"total_outbound_references":67},"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 67 of 67 outbound references and 2 inbound Pith citation observations for arXiv:2506.22012."}