{"as_of":"2026-08-07T22:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6393bc65a2f60cc836f5fd4098594866b598291441a4eabefb154835119c3572","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T10:36:39.697795Z","state":"measured"},{"denominator":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2507.23652/citation-record","integrity":"/paper/2507.23652/integrity","json":"/paper/2507.23652/citation-record.json","paper":"/paper/2507.23652"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T10:36:40.731756Z","title":"saliency maps from physicians","venue":null,"work_id":"6e94fbaa-bb3d-42af-a8c1-86d325595ff0","year":2015},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.443412Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:a4168a7b16c091ff338e92ffbec6a6b8e675c6236a5623dfb9777d3dbc94fefb","observation_id":"75bc8f55-7214-437e-870d-40a87b7364c9","resolution":{"observed_at":"2026-08-06T10:36:40.737018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:40.712134Z","title":"Medical Image Analysis (2024)","venue":null,"work_id":"2dbce549-ba5e-4752-b141-10862ad3f64f","year":2024},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.449892Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:ab4f133e2ce56996a43255b3a65fc9f5e49325e3824e68042b97e329a54b0e63","observation_id":"ca25a1b6-b0d3-4dcb-9286-759661480af8","resolution":{"observed_at":"2026-08-06T10:36:40.717875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:40.690327Z","title":"In: NeurIPS (2021)","venue":null,"work_id":"5772ba71-1538-4765-a586-06e8b2145a15","year":2021},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.456768Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:d221c65aa07148183cff82037c8e5c397d0758611f907f6d4d54241216ca1784","observation_id":"5b177fe2-6db7-415d-bd08-76727ac6244f","resolution":{"observed_at":"2026-08-06T10:36:40.695515Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:40.668319Z","title":"CAAI AIR2, 9150015 (2021)","venue":null,"work_id":"20806e6c-8f91-4cdd-878a-9c1ff5cfacfe","year":2021},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.463295Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:4ccb5ff647aee2cbb1bba3d5b415552f1de27a39bcf409f7874b8195156dd403","observation_id":"fa8272bd-4948-4794-b32a-e67c3402d434","resolution":{"observed_at":"2026-08-06T10:36:40.675631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:40.641837Z","title":"In: MICCAI (2023)","venue":null,"work_id":"3375a882-30c8-4bae-be0a-d3b020142f52","year":2023},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.471817Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:5b1581464f32d4ebcd284274b39f629f9e3c4bec693f5a8778b60c6051d1b1c5","observation_id":"b520eb6d-7e4b-4577-93c2-acefb27dee8f","resolution":{"observed_at":"2026-08-06T10:36:40.647074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.00445","last_updated":"2020-03-15T14:06:45Z","snapshot_observed_at":"2026-07-06T07:42:52.389826Z","submitted_at":"2019-03-31T16:56:10Z","title":"The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.00445","snapshot_observed_at":"2026-08-06T10:36:39.478197Z","title":"arXiv preprint arXiv:1904.00445 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.478197Z"},"links":{"cited_paper":"/paper/1904.00445","citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:c08e4f1c117ba8f3981942f13fc5bb176b9811005a84a6bc530fff3c4275c929","observation_id":"184274c1-6b44-4025-8a17-02704e7cdce6","resolution":{"observed_at":"2026-08-06T10:36:39.478197Z","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":"2026-08-06T10:36:40.621515Z","title":"In: NeurIPS (2017)","venue":null,"work_id":"3ed0290c-a10a-4106-ac04-843757e2f688","year":2017},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.485323Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:eafee598f5bd2b49078610e3abf8b6e020aa7b10e75b24285e6d4f80ab46e873","observation_id":"838b7b7e-cc60-49dc-addc-659f2ea327e3","resolution":{"observed_at":"2026-08-06T10:36:40.629001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:39.493704Z","title":"In: NeurIPS (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.493704Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:e7fab3fad4a8b18e5d613db8e6f325d672029e44fec337ebb567a73a66fb49dd","observation_id":"0cc95853-b17b-4d9f-b24e-09424fd16313","resolution":{"observed_at":"2026-08-06T10:36:39.493704Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T10:36:39.499559Z","title":"In: NeurIPS Workshop (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.499559Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:eba2fa1fa687d03ac146b3837c0f53970bd542a82067a3dec604c423fa174f38","observation_id":"15db4a57-6b02-46bc-bfb9-7c785fc8765e","resolution":{"observed_at":"2026-08-06T10:36:39.499559Z","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":"2026-08-06T10:36:40.559096Z","title":"In: AAAI (2024)","venue":null,"work_id":"295e802c-7cd6-47f3-b139-da34cd94ce84","year":2024},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.505612Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:90059174ebc8f5986d1e47ece54eacb4ebcb06b2ad108ae98446e8c7798855bb","observation_id":"dc4267bb-acf4-4435-b41d-fbe67d6c708f","resolution":{"observed_at":"2026-08-06T10:36:40.564373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:40.538844Z","title":"Nature methods (2021)","venue":null,"work_id":"a3649daa-3fc6-45b0-92ed-e85023b658c2","year":2021},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.513285Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:4ac6f81632f0436df014cb1b9800d21922cc0911a26edeffb8206b7b6575d7e9","observation_id":"484901ad-acfb-4514-b836-7a44ac28adb7","resolution":{"observed_at":"2026-08-06T10:36:40.545528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:40.516059Z","title":"In: MMM (2020)","venue":null,"work_id":"c1d57b62-864d-499f-8b2b-40c392d716b9","year":2020},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.520001Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:193ff8e462b262b2e15d1ffb599629bb0e9d68345cd6f4b7d0e2ee4ddc3d5475","observation_id":"6c84940e-a01b-41f9-b7a4-a152b4dff892","resolution":{"observed_at":"2026-08-06T10:36:40.522884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:40.493002Z","title":"In: ECCV (2024)","venue":null,"work_id":"e183f6c4-c840-46ef-96a5-658457073b30","year":2024},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.526254Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:faa6eb63864da8e48297b30489846990c962d77b26cb6d88e30ffbc0bf82e599","observation_id":"ce77957e-8d74-4586-8c66-a949f63aa89c","resolution":{"observed_at":"2026-08-06T10:36:40.499876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:40.462754Z","title":null,"venue":null,"work_id":"638eae65-ff71-437c-b139-fdf51c7618b0","year":2025},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.531313Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:4257a388e6faa5c812e70e5aae227de53d1935fecc56bd1ac2b3a8a89fb838ed","observation_id":"9b059a95-31b1-4e90-9bb0-55d3eb7807c2","resolution":{"observed_at":"2026-08-06T10:36:40.473230Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:40.437620Z","title":"In: ICLR (2017) 10 Qiu et al","venue":null,"work_id":"86f7295a-fe46-4f4b-b44f-6b013caa695a","year":2017},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.536139Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:96a8bf8c189f7a7e2c410bafaac82994275f1eb0ad3b2258c1a4652c2d927ec8","observation_id":"54b4d512-810c-4692-95a7-09815afadb30","resolution":{"observed_at":"2026-08-06T10:36:40.445002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:40.418777Z","title":"In: CVPR (2023)","venue":null,"work_id":"4283ecda-f37f-4ee7-a9de-62dc9d397b2a","year":2023},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.544060Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:19c3d811361c5871032a38730472d7608f89ed6d865584351399605ad7d91414","observation_id":"e914664d-d3b1-4c0b-8493-40daacdb74d1","resolution":{"observed_at":"2026-08-06T10:36:40.424319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:40.393246Z","title":"In: AAAI (2024)","venue":null,"work_id":"12785b27-6b8b-4383-9371-388047b1ea91","year":2024},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.549837Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:840ba6a96aab28231824e34f8f057896d3bcaf42fb302f08c00630a70625ec19","observation_id":"bbcc62a7-050b-4fb8-a8bf-d018fbd8bdba","resolution":{"observed_at":"2026-08-06T10:36:40.401266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:40.369073Z","title":"In: CVPR (2025)","venue":null,"work_id":"37d71a0f-e6a1-4ed6-9919-392f07c5bc49","year":2025},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.557260Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:e4f92f69fd7083d6075d19c45ee4728910a851991558ab69b6efcc288d8eebcf","observation_id":"b334e920-f699-4d06-8cfd-c405e4ead09e","resolution":{"observed_at":"2026-08-06T10:36:40.375085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:40.349937Z","title":"In: ICASSP (2024)","venue":null,"work_id":"4affe132-a968-423e-af63-d9a1c9650e5f","year":2024},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.572437Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:e4b592897d21322c97dc81777ec1d20328cb377bea2dc74d2b03e4d4db669bfa","observation_id":"23df6817-5164-48ee-9273-59d545c46c9f","resolution":{"observed_at":"2026-08-06T10:36:40.354933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:39.578986Z","title":"In: CVPR (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.578986Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:571bcb50700c1e77efa841fd5017e8be90f4a2ecd684fbc7220a1b2901605e77","observation_id":"2d1a298f-ec6f-4a19-a08b-19cc69418add","resolution":{"observed_at":"2026-08-06T10:36:39.578986Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T10:36:39.584730Z","title":"In: CVPR (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.584730Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:5731fd4fb3b83be8d22027cb450f513227cfa1a455d310056ccd46c666e1b0df","observation_id":"c5e8e7fd-724f-416c-b504-a959ad8a1ce6","resolution":{"observed_at":"2026-08-06T10:36:39.584730Z","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":"2026-08-06T10:36:40.302899Z","title":"IEEE TMI (2025)","venue":null,"work_id":"d64a08f4-7beb-4087-b20d-1776c0ad2278","year":2025},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.591390Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:021ccc6b4aa94d129132d4cbf351f8cc28e7aab72a04f416163d438c28627d5f","observation_id":"cce25328-bc24-4670-adc5-d2cb4a57c420","resolution":{"observed_at":"2026-08-06T10:36:40.310217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:40.283462Z","title":"In: IJCAI Workshop (2024)","venue":null,"work_id":"7edecb20-3ae0-4dd1-9db3-7abe45b93ebb","year":2024},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.597639Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:5fe31bef01f21bcb24bae0e1ee41e243bac21b9dee98451ebf0891d4f39b01c9","observation_id":"44eb53b3-fed7-4e6b-89aa-9e50409f2cc8","resolution":{"observed_at":"2026-08-06T10:36:40.288498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:40.262674Z","title":"INT J COMPUT ASS RAD9, 283–293 (2014)","venue":null,"work_id":"b64b416a-3fe9-49cc-91f9-14892e419638","year":2014},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.606850Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:d4590fd29f1568edd42e157830d2c779e74983e093af301f6398bfc3d384fe35","observation_id":"4b83fa1f-db4c-4b6b-9078-892515099d8a","resolution":{"observed_at":"2026-08-06T10:36:40.270784Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:40.241679Z","title":"In: ICLR (2020)","venue":null,"work_id":"ecb2e48d-9016-4861-8860-11238759d7f6","year":2020},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.612715Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:a67309a32a4038c3498ffe8142661bfcfcdb33fe2e32e06300f21a17109986b9","observation_id":"a4025d8a-9fad-4833-bd58-004f1ac2609c","resolution":{"observed_at":"2026-08-06T10:36:40.248948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:39.619332Z","title":"In: ICML (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.619332Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:a76fb59aacfad2277e01817be3d211b0f436082c5c3592a717c962abe66d45c6","observation_id":"13362bfb-6475-468c-8490-435dc3846ec4","resolution":{"observed_at":"2026-08-06T10:36:39.619332Z","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":"2026-08-06T10:36:40.205123Z","title":"In: ICLR (2020)","venue":null,"work_id":"0de37377-2fde-48f5-b9bf-113b6b13483c","year":2020},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.625169Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:85725cfb989de6fcafbe93d0a9c334c28d77285c53760cf0f0af942e63dc9b81","observation_id":"4c55e3df-9839-4d12-ad0f-d8c99613fcf1","resolution":{"observed_at":"2026-08-06T10:36:40.211201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:40.177965Z","title":"IEEE TMI35(2), 630–644 (2015)","venue":null,"work_id":"d41ef573-e770-42da-a19b-69aa14b39fbd","year":2015},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.647239Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:a8bc8127c4c835c12be492e0754c837b99aafa6ef472ce240bf67764d2ec11b3","observation_id":"fc9c706b-66fe-409d-91f5-61580cb57547","resolution":{"observed_at":"2026-08-06T10:36:40.185320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:40.149359Z","title":"PloS one17(5) (2022)","venue":null,"work_id":"9d12b481-1780-483e-8d47-fefafb9f9b40","year":2022},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.654141Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:e1af4cac25ffa43295aee8c86ab7d75e58187137a6e00914938b42cad3d49c65","observation_id":"53fb6a00-1611-446f-bf8b-fedc22ca535b","resolution":{"observed_at":"2026-08-06T10:36:40.155736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15248","last_updated":"2025-07-03T15:01:39Z","snapshot_observed_at":"2026-07-06T20:26:07.715114Z","submitted_at":"2025-01-25T15:33:13Z","title":"Enhancing Fetal Plane Classification Accuracy with Data Augmentation Using Diffusion Models","version":2},"cited_work":{"arxiv_id":"2501.15248","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.15248","snapshot_observed_at":"2026-08-06T10:36:39.954323Z","title":"Enhancing Fetal Plane Classification Accuracy with Data Augmentation Using Diffusion Models","venue":"cs.CV","work_id":"f13343dd-6353-4d89-b98b-ddb41c25e0c9","year":2025},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.661933Z"},"links":{"cited_paper":"/paper/2501.15248","citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:b6184103fe6ac317f2ae631aff5491af05150ffa00fec7b008a5739b063e1d0c","observation_id":"c3890804-5a76-48ac-97fc-aa1e8af5d486","resolution":{"observed_at":"2026-08-06T10:36:39.973344Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:39.670304Z","title":"In: NeurIPS (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.670304Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:140f0e9ed0cc56649adc8f8a00e12d8887b28f9dc6e7759d4589d792a4bd9f44","observation_id":"3f515fc2-fa95-4b62-85c0-d7fbcb8210d7","resolution":{"observed_at":"2026-08-06T10:36:39.670304Z","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":"2026-08-06T10:36:40.100032Z","title":"J HEALTHC ENG2017(1), 4037190 (2017)","venue":null,"work_id":"f856b6e8-9ada-409c-b01b-01f3f6bc9a80","year":2017},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.676950Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:4c2a21eb84a19fcd958bd806dddd3adbdb928478332aea29a320198d2ba75a3a","observation_id":"15e402a6-7733-4e86-9fed-a050f106f4e5","resolution":{"observed_at":"2026-08-06T10:36:40.111698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:40.079399Z","title":"In: MICCAI (2021)","venue":null,"work_id":"fd84bb54-33e3-4768-9070-7146756c54f5","year":2021},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.681949Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:b752c407611c1168f2600c38d1e3a5cf59c1cb25253a6b900af90c4a45f22070","observation_id":"4cac9fba-2ac8-4dce-88d0-4a5ae47831cd","resolution":{"observed_at":"2026-08-06T10:36:40.085187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:40.055796Z","title":"In: ICCV (2023)","venue":null,"work_id":"cad04b4a-632e-46dc-98be-7596e5e30216","year":2023},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.687902Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:d181cece828064d71d0afa0f519dc5cfee13bfccfb349e461279bbf359e3ec33","observation_id":"6ad88757-46ff-4815-b1be-57e47ace038d","resolution":{"observed_at":"2026-08-06T10:36:40.062279Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2507.05148","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T10:36:39.901440Z","title":"arXiv preprint arXiv:2507.05148 (2025)","venue":null,"work_id":"f06a5d5a-4e19-4eb6-8c20-a3a1dc5b85f3","year":2025},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.693197Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:071f1165e24c919f0d1337fcd6a69b86bd5dd5ae37e3237738d9c747a4392c68","observation_id":"271a9dc0-84bc-44f0-abbe-3d9db91e8e3e","resolution":{"observed_at":"2026-08-06T10:36:39.921270Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:36:39.697795Z","title":"In: ICCV (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T10:36:39.697795Z"},"links":{"citing_paper":"/paper/2507.23652"},"observation_digest":"sha256:f0a3c1745c719db57ee60ac01f7e0ca78eadcf9f1475c1fa728d6f8f805be418","observation_id":"c8cbaeba-bccb-4f11-8b5a-aaed261a53ac","resolution":{"observed_at":"2026-08-06T10:36:39.697795Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.23652","last_updated":"2025-07-31T15:32:06Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T10:36:38.971200Z","submitted_at":"2025-07-31T15:32:06Z","title":"Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":9,"verified_exact":1,"verified_fuzzy":25},"total_outbound_references":36},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2507.23652."}