{"as_of":"2026-08-18T23:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:79fb8ca39fb1d59c68c03530a7c8d3b0b6aa2b98972051b2030918cc2d942dc6","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:02:43.702321Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.01326/citation-record","integrity":"/paper/2507.01326/integrity","json":"/paper/2507.01326/citation-record.json","paper":"/paper/2507.01326"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:02:44.048314Z","title":"K., Agrawal, S., Panda, R., Dora, L., Abraham, A.: Intensity inhomo- geneity correction in brain MRI: a systematic review of techniques, current trends and future challenges","venue":null,"work_id":"17b34e1f-bd60-47b8-b42d-da5ee18cdbc8","year":2025},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.620911Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:219824113606ed47e854a971c1baf1de20e9739687999b85906d8cd0c35456eb","observation_id":"a7b9e97a-440d-4da1-9db7-c7ff19538688","resolution":{"observed_at":"2026-08-06T21:02:44.051726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:44.040539Z","title":"Physics in Medicine & Biology69, 23TR01 (2024)","venue":null,"work_id":"5e78d0b5-f3c3-4399-8125-ada1da1db432","year":2024},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.624383Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:df8877e60193e353ddf641e5ce1dcd3678f0468099188e9a6a5f0aa883b21240","observation_id":"284599cf-9801-47ec-9494-36ac2c5836b4","resolution":{"observed_at":"2026-08-06T21:02:44.043099Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:44.032494Z","title":"G., Zijdenbos, A","venue":null,"work_id":"7a031363-7913-4be4-810e-20e8ba5e5a44","year":1998},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.627395Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:b0a9655958c11874a1cc2651d558cb34e9fc445a1e7b9e49e697d46fb9f08397","observation_id":"0a59b3c9-f14b-4959-a060-e33facbf714a","resolution":{"observed_at":"2026-08-06T21:02:44.035234Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:44.024632Z","title":"J., Avants, B","venue":null,"work_id":"51b5b75b-2c54-4534-8284-1db08535a222","year":2010},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.630528Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:d9cc1765efcc2f97b3e97a07eb65aa1a26f31a301ac8d49d3faec1a998d009db","observation_id":"1a1734de-2660-473f-aee1-fd10e66c5302","resolution":{"observed_at":"2026-08-06T21:02:44.027412Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:44.016731Z","title":"K., Agrawal, S., Panda, R., Abraham, A.: Novel fuzzy clustering-based bias field correction technique for brain magnetic resonance images","venue":null,"work_id":"10524ded-cedf-424b-a5e0-5e579e332f9f","year":2020},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.633433Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:86c5c624665ec502fc5531fdae7eb7267f445364622d7a8d9e42ea8682331ded","observation_id":"93cb4947-1288-4715-9b9e-9f691841a66b","resolution":{"observed_at":"2026-08-06T21:02:44.019480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:44.009004Z","title":"S., Zeng, Y., Chai","venue":null,"work_id":"605750a1-a36d-4080-876d-ea71fc4d8e94","year":2024},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.636397Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:98ca7e37182841c691b31f8e1e9053c41b27ce09eadc8a792543247911913b85","observation_id":"af492a23-d327-4c28-b9c0-408839631291","resolution":{"observed_at":"2026-08-06T21:02:44.011473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:44.000779Z","title":"B.: AMSLS: adaptive multi-scale level set method based on local entropy for image segmentation","venue":null,"work_id":"09405875-a8e8-42db-84e9-bc730eb6527f","year":2024},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.639294Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:6afa246273401ac2d4d057a11df08bac9ce33c4167fadb21fdc2de6ecfaa8275","observation_id":"1d00ade8-c7ba-40fa-981b-30e2ecbb19e8","resolution":{"observed_at":"2026-08-06T21:02:44.003933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.992617Z","title":"C., Davatzikos, C.: Multiplicative intrinsic component optimiza- tion (MICO) for MRI bias field estimation and tissue segmentation","venue":null,"work_id":"0888d1e9-4c49-4dc1-b06b-8026e61c2003","year":2014},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.642570Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:5e8d950e60f260a0719b21ea54f942a070e24bf9e8f62f161fb74444c8a92853","observation_id":"5dd07dff-dc44-4970-a796-948a8dd2f3b2","resolution":{"observed_at":"2026-08-06T21:02:43.995610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.984508Z","title":"IEEE Transactions on Imaging Processing,24(11), 3927–3938 (2015)","venue":null,"work_id":"e59abfff-6122-4e5d-b68f-51a4b8ccc85c","year":2015},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.645206Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:fb507cd89b7615fc5473e0226b6628dc86e0e586a5f05888ad7f929641b29c05","observation_id":"3dd32d0a-f696-4a39-8868-a76db3dfaf3c","resolution":{"observed_at":"2026-08-06T21:02:43.987322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.976008Z","title":"R.: Deep semi-supervised bias field correction of Mr images","venue":null,"work_id":"e783dd0b-cd4c-480d-8e16-b8f84e23fb72","year":2021},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.647762Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:3eaefcd1b96ec47c1d4b71c8025e5cdfda6ea96d562d4038df288b739f1b1509","observation_id":"0ffc544b-b806-4953-bad6-aae8c6f7fe01","resolution":{"observed_at":"2026-08-06T21:02:43.979329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.967903Z","title":"K., Lin, W., Wang, L., Shen, D., Li, G.: ABCnet: Adversarial bias correction network for infant brain MR images","venue":null,"work_id":"4670e78d-b884-4bd5-9266-4fa7420ac13e","year":2021},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.650216Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:d029ddb73cd14684388353c7330936a034db9a094f3a8212db3db342334329da","observation_id":"dcd0dad2-28b1-4889-b656-9f12d7a8b047","resolution":{"observed_at":"2026-08-06T21:02:43.970701Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.959805Z","title":"J., Patel, P., Liu, T., Yang, X.: Intensity non-uniformity correction in MR imaging using residual cycle generative adversarial network","venue":null,"work_id":"333b8096-0cd8-437d-8e59-21b407af15d5","year":2020},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.652888Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:42bccaf5e5d26d6eb54a5b9f38b348963a45a710973b8575a775a287d7cd8e87","observation_id":"c5353318-c712-42e1-94af-adb26a89ee74","resolution":{"observed_at":"2026-08-06T21:02:43.962646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.951903Z","title":"M., Jing, B., Zhang, G., Chen, G","venue":null,"work_id":"d6797c80-72f5-449d-8cdf-758cb62b47d4","year":2024},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.655281Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:4d123cb08915c370809b2599fc890bd46f2db1bbfde0994cf775809df83bb848","observation_id":"5397d338-65c4-4374-a838-eec9f34d958f","resolution":{"observed_at":"2026-08-06T21:02:43.954661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.943149Z","title":"In: International Conference on Medical Imaging With Deep Learning","venue":null,"work_id":"366ff311-7a42-4044-b9d2-032b218b0f40","year":2022},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.657708Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:f3ed0300ab51335714a6bc411303a1390ba074675ef7e77c6da67c06e5cdd997","observation_id":"8975355c-b1c1-4525-bf61-064c8d94e787","resolution":{"observed_at":"2026-08-06T21:02:43.945874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.934636Z","title":"In: Interna- tional Conference on Bioinformatics and Biomedicine","venue":null,"work_id":"6abcaf1d-8245-4d76-b29f-401b4860c307","year":2024},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.660099Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:c5eec85bd02e6a2a5a9f1cd039419422a4a5b33fe0739c48bb36a0cbe9d6041d","observation_id":"c152833e-109a-45ee-a1fd-2fc1d2a4a3fd","resolution":{"observed_at":"2026-08-06T21:02:43.937410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2501.12244","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:02:43.794090Z","title":"arXiv: 2501.12244 (2025)","venue":null,"work_id":"0968c08a-efa3-4893-9d42-37e6d3421c81","year":2025},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.662629Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:55f858800a74c790093abf2113ec6cefb5b60975b4cee8d1346935426fe856e3","observation_id":"08674612-8654-4ac3-8ef4-e7f18e98ad0e","resolution":{"observed_at":"2026-08-06T21:02:43.799586Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.926356Z","title":"Y., et al.: DeepN4: learning N4ITK bias field correction for T1-weighted images","venue":null,"work_id":"9ec39bd1-f4ab-4a22-b984-f7dc3a2e7181","year":2024},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.665196Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:64c0bf6def3b0aa5914bf3c785269e3d154855a83d4cd040af3f51b77beb15dc","observation_id":"71dc2956-d75f-4ea1-8b6b-97ae55b1dbe1","resolution":{"observed_at":"2026-08-06T21:02:43.929390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.917993Z","title":"R., Coupe, P., Manjon, J","venue":null,"work_id":"1cafa0df-4bd3-486e-88d7-02d9fd58a9dc","year":2024},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.667603Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:a811af3ea70eb19d60e51637f1ba692bb3a9e4be7831284e6c3c37fa90aee3b4","observation_id":"bed1f503-f59b-4151-a5a8-d0016123b092","resolution":{"observed_at":"2026-08-06T21:02:43.920579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.909920Z","title":"C.: Learning to enhance low-light image via zero-reference deep curve estimation","venue":null,"work_id":"9dc546f2-2357-4fef-ae2c-a1fa47ee8f67","year":2022},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.670156Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:1d9e80db3c3e2393760fc20ffe0856abfeb36b9122b20de88cd65580a229da14","observation_id":"11f6c1b2-7219-4c3c-9cfb-7f3718de9ab6","resolution":{"observed_at":"2026-08-06T21:02:43.912716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.901529Z","title":"IEEE Transactions on Image Processing, 33, 1432-1447 (2024)","venue":null,"work_id":"462ec474-b97a-4a89-b211-be0476105976","year":2024},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.672913Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:0397fcc4aecb6897ad3fc8a9b9ecc221acd69e03c56ea7776feb5a68e163f713","observation_id":"28e98408-15f8-49a1-aba2-317e7457bd0d","resolution":{"observed_at":"2026-08-06T21:02:43.904286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.893601Z","title":"In: IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"0101ed1f-6eff-4f17-a9be-d39808823109","year":null},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.676024Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:e311fd1051650d2cb76c88de9f4396a89df27cfc12f21319b22967951e2c81a1","observation_id":"e52483ae-caa6-4cf5-a469-6ddc447c5627","resolution":{"observed_at":"2026-08-06T21:02:43.896465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.876615Z","title":"N., Li, Y","venue":null,"work_id":"a208a9cf-7598-43b0-ab35-2d877fc09a14","year":2024},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.681429Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:85af12f411b23a9d711a59ddc932059d6e6154949b6be0ce5073466e88ffabef","observation_id":"29debd4c-0aa6-4217-9221-c7f5847b19c6","resolution":{"observed_at":"2026-08-06T21:02:43.879259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.868579Z","title":"In: 18th International Conference on Medical Image Com- puting and Computer-Assisted Intervention","venue":null,"work_id":"19f84f02-836d-4125-9b04-7b8469670693","year":2015},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.683864Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:f78a5ddbb9c2ad8e9c6c63576e93c4c4a8cfe083123d1bd8871c05bfcf677d53","observation_id":"8fc0bb87-df4e-4e81-8d4e-bc050d2d1a13","resolution":{"observed_at":"2026-08-06T21:02:43.871368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.860443Z","title":"S., Glasser, M","venue":null,"work_id":"4a1f37cf-a79b-4fe4-b86e-fbe123d4c379","year":2021},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.686510Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:f0778be841678a8820b672bef2fe018bbbd59cd6c94a175add74db9b285dbde2","observation_id":"c86761e7-4b6c-4d38-a595-b3eb48f10514","resolution":{"observed_at":"2026-08-06T21:02:43.863305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.851807Z","title":"L., Zijdenbos, A","venue":null,"work_id":"9c74605c-9b25-4765-93b9-0a23e1a83a1f","year":1998},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.689120Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:631cf4e91058169461acd25f2a66e0ad2d2cd0957a80f5eb770e82afed24f807","observation_id":"5135f282-3898-4d90-8dc7-667edb839e97","resolution":{"observed_at":"2026-08-06T21:02:43.854512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.842368Z","title":"Multimedia Tools and Applications32, 15007- 15026 (2023)","venue":null,"work_id":"ebeb116f-dabc-4384-beda-da21e922ba65","year":2023},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.691622Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:cf39c981a0f21c8f3842807cf8010d007db2d598c3853a9e49b633e20abb489a","observation_id":"a57ee038-cce1-488d-9a4f-b5e026d4f7d2","resolution":{"observed_at":"2026-08-06T21:02:43.845465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.832724Z","title":"IEEE Transactions on Image Processing,32, 2132–2146 (2023) S2DNets: MR Bias Field Correction 11","venue":null,"work_id":"9e2a9b49-992d-4f73-83ea-f2520b64fc41","year":2023},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.694746Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:bad0ab207fdadd219d4c3e63ba1af9e0eadbf084bcbfca543a73ac3ba5e128e3","observation_id":"f720b043-0dce-4057-ae9b-68d2e0745b65","resolution":{"observed_at":"2026-08-06T21:02:43.835674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.824001Z","title":"C.: A generic approach towards image manipulation pa- rameter estimation using convolutional neural networks","venue":null,"work_id":"92d46671-7026-4dc4-a007-36fa4f217b79","year":2017},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.697294Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:15bb8f3437386f289a0423950b695e38817b683b017a159c5e2d3e9253d82a8f","observation_id":"f9b500c4-bf91-4c7d-a66b-0ab92e02cdcb","resolution":{"observed_at":"2026-08-06T21:02:43.827008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.814348Z","title":"K.: Reproducibility of brain MRI segmentation algorithons: empirical comparison of local MAP PSTA- PLE, FreeSurfer, and FSL-FIRST","venue":null,"work_id":"1750f96b-1104-40ed-8c27-583cb5fbe501","year":2018},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.699852Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:0faf910f5a2f43dbadc95c08f104939a3fdb6d28e4298168e419a64664c0b1e2","observation_id":"190bcda6-f7e0-4633-ae87-c36dd531fbd2","resolution":{"observed_at":"2026-08-06T21:02:43.818091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.805613Z","title":"In: IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"79efe760-2e63-4b5f-a2ce-2118202cf656","year":2011},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.702321Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:6ca0a8f728c00675d8a126f7642332b0beb20da64abe030e9e1f6e7fb5712305","observation_id":"ce36c3d7-dbc8-4cac-a899-292795a5cbbd","resolution":{"observed_at":"2026-08-06T21:02:43.808709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T21:02:43.884988Z","title":null,"venue":null,"work_id":"05db3925-c127-45e4-9736-ef8f72095efb","year":2020},"citing_paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction","version":1},"reference_index":5416,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:43.678810Z"},"links":{"citing_paper":"/paper/2507.01326"},"observation_digest":"sha256:67335655f37c7df7d9ebf92d9821d91c569a6ff33fd936302d3c75993f973bc4","observation_id":"5bc164a6-3130-48e9-b8a5-4a3ef9f4f8ba","resolution":{"observed_at":"2026-08-06T21:02:43.888213Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.01326","last_updated":"2025-07-02T03:23:43Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-18T21:57:12.204334Z","submitted_at":"2025-07-02T03:23:43Z","title":"Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":0,"verified_exact":1,"verified_fuzzy":29},"total_outbound_references":31},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2507.01326."}