{"as_of":"2026-08-08T18:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ee4c41b83794b14aaa20982aa89bb2711412ffb79dc4ffaf81bae7391d2cd270","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:13:13.520184Z","state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.14919/citation-record","integrity":"/paper/2506.14919/integrity","json":"/paper/2506.14919/citation-record.json","paper":"/paper/2506.14919"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:13:12.278651Z","title":"Machine Learning: Science and Technology6(1), 015022 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:12.278651Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:3254608be69f01756355efaebc3b83395a3181775e429c78da26c29aa343f2b0","observation_id":"ce106932-1405-4e58-a082-5ce21347c41e","resolution":{"observed_at":"2026-08-07T00:13:12.278651Z","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":"2026-08-07T00:13:16.428387Z","title":"Conn Health (1), 98–105 (2022)","venue":null,"work_id":"368416f3-d5d4-45c1-b026-b3a97608e495","year":2022},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:12.338129Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:9a9811331a5e70260d6d1d29d0949a555bae5d17fe864a9002f9e7f01f48c8c5","observation_id":"8ede274b-c841-4046-9b9a-5553727d5280","resolution":{"observed_at":"2026-08-07T00:13:16.499244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T00:13:16.236277Z","title":"In: 2022 IEEE Symposium on Security and Privacy (SP)","venue":null,"work_id":"47dc3142-266f-4aee-aec0-e62aea22b46e","year":2022},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:12.385412Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:d782b99358883ae7d309d2ef6672f6eaa4f3395a53ab3b1b993452bdfc167b8a","observation_id":"1b820cd4-7d89-4c6b-be61-8464109d88ff","resolution":{"observed_at":"2026-08-07T00:13:16.328245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T00:13:15.948324Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"f0c5623d-71da-4db2-9bf8-17feee92b39c","year":2020},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:12.420850Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:5c717e6bb3a1a96453daf5980b9e0a17c4988dd963f9f9782f95d4c8e212fd1c","observation_id":"e70f850b-3d3f-4141-90bf-6e50a73267dc","resolution":{"observed_at":"2026-08-07T00:13:16.122976Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T00:13:15.729660Z","title":"In: MICCAI Workshop on Deep Generative Models","venue":null,"work_id":"3a7bf1f4-6054-4b35-b0b8-b5b09a98ea6e","year":2024},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:12.453290Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:d299c244f516c046ecf6c29aa49902c5b3970dd8b067d7dc5e49f293339d9d00","observation_id":"102c7a1b-e04d-4961-b9d9-6a88af18e05d","resolution":{"observed_at":"2026-08-07T00:13:15.802157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T00:13:15.465586Z","title":null,"venue":null,"work_id":"453de321-a0d6-4ebb-a86e-e164ca795c5d","year":2023},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:12.506708Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:6d27264232e06cfd1550faa738500cc9fa3fe674f0373b12a2cd372b79c8ce9c","observation_id":"6e12468e-0c6e-4a87-b5ab-611069531ad1","resolution":{"observed_at":"2026-08-07T00:13:15.595738Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T00:13:15.268647Z","title":"Pearson education (2009)","venue":null,"work_id":"32513170-3c85-41ef-891f-42d1b5ddbfc5","year":2009},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:12.569772Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:de418e4d45f2f0d463cf62271bb93c3ec79a5e3067a094e330b077f6ab06dfb2","observation_id":"41c7692e-7bac-4dd1-aae3-304881a90f39","resolution":{"observed_at":"2026-08-07T00:13:15.374319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T00:13:15.064300Z","title":"In: Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Commu- nications Security","venue":null,"work_id":"7d66ff75-53d1-4870-a0aa-b6a112731541","year":2024},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:12.628324Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:606326e4580500e38aa9e38b3269c0e7d8fd0e6362549ada05b3b84a1f7dac4c","observation_id":"e0d2b176-165d-4f4f-a052-fec3b66f0607","resolution":{"observed_at":"2026-08-07T00:13:15.168402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T00:13:12.693969Z","title":"Advances in neural information processing systems33, 6840–6851 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:12.693969Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:482ad5a2841e3b91588fc07d724f60193c0a4c405df5c0d12509c7084dec91d3","observation_id":"92e28c66-c963-4885-9a6f-598ed81f7ce5","resolution":{"observed_at":"2026-08-07T00:13:12.693969Z","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":"2026-08-07T00:13:12.730188Z","title":"Medical Image Analysis88, 102846 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:12.730188Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:bf4e43515a35af6ae20af797369abccd72c5b8f567c7c8a6d3298b95aec18e92","observation_id":"28cfe996-be37-4bff-9598-34337ccc06df","resolution":{"observed_at":"2026-08-07T00:13:12.730188Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.18355","last_updated":"2023-10-09T06:26:35Z","snapshot_observed_at":"2026-07-06T15:34:55.654928Z","submitted_at":"2023-05-26T16:38:48Z","title":"An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.18355","snapshot_observed_at":"2026-08-07T00:13:12.770003Z","title":"arXiv preprint arXiv:2305.18355 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:12.770003Z"},"links":{"cited_paper":"/paper/2305.18355","citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:9509665b7ab0e84de0998b185e5ea7734c701479ec0c54b3cc71cd9963d5010d","observation_id":"075f3e2e-eedd-4ed1-bd78-7b0bcdac0023","resolution":{"observed_at":"2026-08-07T00:13:12.770003Z","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":"2026-08-07T00:13:12.813778Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:12.813778Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:84abaea40a5e12ad7493be04deab8947294bc2f4192e303de8bb3a85d2523607","observation_id":"476f9126-7a1a-4c16-9c40-4d00636278cd","resolution":{"observed_at":"2026-08-07T00:13:12.813778Z","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":"2026-08-07T00:13:14.812050Z","title":"In: International Conference on Medical Image Computing and Computer-Assisted Intervention","venue":null,"work_id":"b74457ed-e053-413d-b12b-999ef9ce8d89","year":2024},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:12.858526Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:72b314cddcdf3527b5354f1cce3d3c66caf8af77df19286bf3e0685093bbf518","observation_id":"1b94f0f5-5e92-40ad-a3d4-68a3ebf18d17","resolution":{"observed_at":"2026-08-07T00:13:14.908674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.18607","last_updated":"2024-09-19T08:00:56Z","snapshot_observed_at":"2026-07-06T17:37:01.208330Z","submitted_at":"2024-02-28T12:21:12Z","title":"Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective","version":3},"cited_work":{"arxiv_id":"2402.18607","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.18607","snapshot_observed_at":"2026-08-07T00:13:13.662260Z","title":"Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective","venue":"cs.LG","work_id":"f4f81ecc-5062-4fe1-b345-3fac1bcd31d0","year":2024},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:12.893401Z"},"links":{"cited_paper":"/paper/2402.18607","citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:e61f214dd9f667a0935ebc30e445edafc41fe2960ae8ee4e920cf7f348f5ae17","observation_id":"50bbe69f-d1dc-4f3d-957d-23713315195c","resolution":{"observed_at":"2026-08-07T00:13:13.706023Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T00:13:14.592579Z","title":"In: 2023 IEEE Security and Privacy Workshops (SPW)","venue":null,"work_id":"7bd1b2c8-78c1-475a-9ddc-56b633333a6b","year":2023},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:12.944480Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:bb4e5d8eb98d651548ee665d75d51e0baf33bbcfff79f36a72870ddd929e23e5","observation_id":"8e553408-6074-4bd9-abf8-0f3ef4990363","resolution":{"observed_at":"2026-08-07T00:13:14.698538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T00:13:12.993969Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:12.993969Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:6434b6a6b11388a19e69a0bd33e5fcbe7e39589c91b8d6bb6e315c1007a61bee","observation_id":"63f15d39-276b-43e6-b95a-e8cd68a8f0ef","resolution":{"observed_at":"2026-08-07T00:13:12.993969Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.05874","last_updated":"2021-05-14T00:54:23Z","snapshot_observed_at":"2026-08-05T01:58:15.930347Z","submitted_at":"2021-05-12T18:00:20Z","title":"The Federated Tumor Segmentation (FeTS) Challenge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.05874","snapshot_observed_at":"2026-08-07T00:13:13.048023Z","title":"arXiv preprint arXiv:2105.05874 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:13.048023Z"},"links":{"cited_paper":"/paper/2105.05874","citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:9dfbfc6a595a96943ee39477b15f6a6ed2e0397b3b6da6aef03723893a2b594c","observation_id":"6781148d-f5b9-45d6-ad8d-883c18a77862","resolution":{"observed_at":"2026-08-07T00:13:13.048023Z","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":"2026-08-07T00:13:14.417508Z","title":"In: 2017 IEEE symposium on security and privacy (SP)","venue":null,"work_id":"b1b30d3f-2410-49e8-8bbf-bada89a0df16","year":2017},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:13.072654Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:b87533712d9f3f57592db57b3859b6fd146ddb2b303f13e7cdf9a62b22b1af59","observation_id":"968bcfdb-41d4-4687-a026-d35b21e00bf4","resolution":{"observed_at":"2026-08-07T00:13:14.510448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-07-06T10:01:50.133383Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-07T00:13:13.134802Z","title":"arXiv preprint arXiv:2010.02502 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:13.134802Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:64e46b5df78b25283292a4d3363e5c7b4f91b477d9a25fda44a77440d6aa3583","observation_id":"68bb3e4a-ef49-4b7e-8dc0-122a2bd2e397","resolution":{"observed_at":"2026-08-07T00:13:13.134802Z","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":"2026-08-07T00:13:14.202796Z","title":"IEEE Journal of Biomedical and Health Informatics (2024)","venue":null,"work_id":"0f8eae4b-9f18-4ac2-bb06-76c3c980a40b","year":2024},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:13.189057Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:f60321abc6bd92d140d85eac59c929a68f8476779fea913256806c7ebda951f2","observation_id":"a6a3888a-d6a8-4075-9a4d-9b7991d23796","resolution":{"observed_at":"2026-08-07T00:13:14.305543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T00:13:13.252612Z","title":"In: Proceedings of the IEEE conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:13.252612Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:ba592338b205a8998d720afeb8e1338a669721c8c44fc7c7a53660c128604770","observation_id":"073a365d-6293-437f-8fe2-0c023eff0540","resolution":{"observed_at":"2026-08-07T00:13:13.252612Z","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":"2026-08-07T00:13:13.305937Z","title":"IEEE transactions on image processing 13(4), 600–612 (2004)","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:13.305937Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:8e00a142ec1933346efa5b0ca904f0808a4b17fca376b9312c30e36cfc9f0c78","observation_id":"dba72ff9-4e3e-40c3-9436-6bd089e7c9e0","resolution":{"observed_at":"2026-08-07T00:13:13.305937Z","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":"2026-08-07T00:13:14.058811Z","title":"In: International Conference on Learning Representations (2022)","venue":null,"work_id":"c70f4a16-20b6-405c-b40c-6120815003ab","year":2022},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:13.347422Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:72ce486ce246eb87c0d474b9e76d60e9502e9788e0293127e6b1c89654d7ebac","observation_id":"8cbba926-244c-4376-a6a1-98c81b42d5ca","resolution":{"observed_at":"2026-08-07T00:13:14.114834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T00:13:13.922033Z","title":"In: International Conference on Medical Image Computing and Computer-Assisted Intervention","venue":null,"work_id":"a7a406d3-5c95-4c6d-8366-8d7a77669dae","year":2023},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:13.388104Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:df538c8639ac715e33df00ec98be0dafe758729364f3299088e5f256000e1128","observation_id":"ce298894-7387-4094-be97-60bb2b6d1597","resolution":{"observed_at":"2026-08-07T00:13:13.980213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T00:13:13.785489Z","title":"In: European Conference on Computer Vision","venue":null,"work_id":"bd6e5f01-62b7-46e5-9fd0-640ea13cbbc6","year":null},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:13.432584Z"},"links":{"citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:3becb4fa0380fb3847c872838af7025b26789aef00fccffc89aae8a78acffc33","observation_id":"6b14f36c-c705-4f09-ba7c-ab9fc6c0ac77","resolution":{"observed_at":"2026-08-07T00:13:13.845000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.12397","last_updated":"2024-03-07T14:26:32Z","snapshot_observed_at":"2026-08-07T07:10:19.526284Z","submitted_at":"2023-11-21T07:12:40Z","title":"PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.12397","snapshot_observed_at":"2026-08-07T00:13:13.520184Z","title":"arXiv preprint arXiv:2311.12397 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:13.520184Z"},"links":{"cited_paper":"/paper/2311.12397","citing_paper":"/paper/2506.14919"},"observation_digest":"sha256:fb6f869fc49456070a412934b3d3bd46e59cf3d5fe46d1ec2db5f8e1707a64ec","observation_id":"3e363ebe-fcfd-4f77-a5cf-5321480a1736","resolution":{"observed_at":"2026-08-07T00:13:13.520184Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.14919","last_updated":"2025-06-17T18:59:43Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T11:40:15.654829Z","submitted_at":"2025-06-17T18:59:43Z","title":"Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":12,"verified_exact":0,"verified_fuzzy":13},"total_outbound_references":26},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.14919."}