{"as_of":"2026-08-10T04:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1b7a42e9d9acf67c972425ae766978016587941f4b255fd558436469a9ffe59c","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T06:45:40.242222Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2607.12054/citation-record","integrity":"/paper/2607.12054/integrity","json":"/paper/2607.12054/citation-record.json","paper":"/paper/2607.12054"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T06:45:36.703920Z","title":"The Cancer Imaging Archive (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:36.703920Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:adfe577a1219e014886b0177a92bed682967a7064c1183b84b1e3c950b83c3b4","observation_id":"468fe8f3-c297-4e79-9495-2472410b9615","resolution":{"observed_at":"2026-08-02T06:45:36.703920Z","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":"2026-08-02T06:45:36.797081Z","title":"Data in Brief28, 104863 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:36.797081Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:56d4f7c99bbd54816e8fa3ac9f22ebd8e0c5ade276941dcd5168d3b31a57aa5c","observation_id":"eaa6bcf0-f1f8-4180-81bb-872057d687ea","resolution":{"observed_at":"2026-08-02T06:45:36.797081Z","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":"2026-08-02T06:45:36.944554Z","title":"Computers in Biology and Medicine152, 106438 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:36.944554Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:465fbe92ebfbb73a97aacbdc77254aee13743f55a94187cc857da5000597d220","observation_id":"0a549631-5f52-4f1c-bf91-50e9c36355a2","resolution":{"observed_at":"2026-08-02T06:45:36.944554Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.08243","last_updated":"2023-04-13T17:59:37Z","snapshot_observed_at":"2026-08-04T14:08:53.444823Z","submitted_at":"2023-01-19T18:59:01Z","title":"Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.08243","snapshot_observed_at":"2026-08-02T06:45:37.064742Z","title":"arXiv preprint arXiv:2301.08243 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:37.064742Z"},"links":{"cited_paper":"/paper/2301.08243","citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:f8f4ac343cf60e057422d13c50205d63eeaed735a32e785755444ea36decf4f9","observation_id":"b3792c97-9b78-41eb-a2f7-f5fec84db92a","resolution":{"observed_at":"2026-08-02T06:45:37.064742Z","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":"2026-08-02T06:45:37.194108Z","title":"In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:37.194108Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:189ae2a8e46293461a4373dec0a190281a8372fe04133646ac2ee06a32861faa","observation_id":"41daf000-9b5a-4593-b98a-ad50a7bb35d7","resolution":{"observed_at":"2026-08-02T06:45:37.194108Z","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":"2026-08-02T06:45:37.264747Z","title":"In: Medical Image Computing and Computer Assisted Intervention (MICCAI)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:37.264747Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:ec033a1a7a9fd2dfcc803c4f691339c1135cd99df8e5b874f0d86500d8aee5b5","observation_id":"a359d1d3-c8f7-4acd-b7ad-fc1ec470c222","resolution":{"observed_at":"2026-08-02T06:45:37.264747Z","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":"2026-08-02T06:45:37.364631Z","title":"Mayo Clinic Proceedings: Innovations, Quality & Outcomes10(1), 100691 (2026)","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:37.364631Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:a0a85674530c0e732bbd9e5fed8e00b3daa6719a0313f7bfc38a33e98269afd9","observation_id":"d12b25ba-b7f9-4f01-919c-b1d35768da07","resolution":{"observed_at":"2026-08-02T06:45:37.364631Z","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":"2026-08-02T06:45:37.492092Z","title":"In: International Conference on Learning Representations (ICLR) (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:37.492092Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:5f4abda36bf273ccfebfa5f8c34dc14085dc6cfea3388a8c789f0403411fc398","observation_id":"c3d15736-dad1-4488-b28e-84a4f0a7b1ba","resolution":{"observed_at":"2026-08-02T06:45:37.492092Z","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":"10.5281/zenodo.8231412","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Zenodo (2023)","venue":"Zenodo (CERN European Organization for Nuclear Research)","work_id":"35dc860c-d356-4e07-ace6-2985059a5632","year":2023},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:37.617310Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:671bfe23c562753f527a24b6ee7c08a985bb9f48bf68d78a273e1703cc9045f0","observation_id":"4122dcd2-4fd9-4cd3-8703-34c721ddd5ed","resolution":{"observed_at":"2026-08-02T06:48:27.408187Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-02T06:45:37.688952Z","title":"European Journal of Radiology157, 110591 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:37.688952Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:bdb192615579f6a3a1c698b2e38da99102eebe7462306f66dccb299bed34b811","observation_id":"57455ff6-0bad-469c-9b10-02df5c4b14b8","resolution":{"observed_at":"2026-08-02T06:45:37.688952Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.06377","last_updated":"2021-12-19T19:23:25Z","snapshot_observed_at":"2026-07-31T02:35:46.853381Z","submitted_at":"2021-11-11T18:46:40Z","title":"Masked Autoencoders Are Scalable Vision Learners","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.06377","snapshot_observed_at":"2026-08-02T06:45:37.793978Z","title":"arXiv preprint arXiv:2111.06377 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:37.793978Z"},"links":{"cited_paper":"/paper/2111.06377","citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:43d4c10ac2b402814fba7a2cb11be3a6588ccc375f1b903d1dbe4aabd5d98893","observation_id":"6cc2a11e-ee64-458c-b233-75595cedef05","resolution":{"observed_at":"2026-08-02T06:45:37.793978Z","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":"2026-08-02T06:45:37.868088Z","title":"In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:37.868088Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:82379058bb6c927f5e3852a59ca1cf14b76454e3c66458dd89787ee70359804f","observation_id":"5e0dcd07-c61d-4777-96bd-0ff404c3e26f","resolution":{"observed_at":"2026-08-02T06:45:37.868088Z","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":"2026-08-02T06:45:38.067727Z","title":"PLoS One 13(8), e0200412 (2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:38.067727Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:e2a3bc12185cc1572837a07fd5e7b95dfffee2e5a1c2b5f97491c2ddeb98a2d5","observation_id":"68cf5bbf-eaac-4b4d-a531-36a73392f15d","resolution":{"observed_at":"2026-08-02T06:45:38.067727Z","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":"10.1016/j.bbe.2022.07.004","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Biocybernetics and Biomedical Engineering42, 921–933 (2022)","venue":"Journal of Applied Biomedicine","work_id":"d5d78f41-e149-4ca3-80a8-0e2b933d928a","year":2022},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:38.314811Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:978e08360bbcce1c3db3e95c0ee53382a93807aceecc6dd9b1535c88d15240a1","observation_id":"a5a6696a-1a08-4b75-b226-bc8e388dfbc1","resolution":{"observed_at":"2026-08-02T06:48:27.311552Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1609.02907","last_updated":"2017-02-22T09:55:36Z","snapshot_observed_at":"2026-07-06T05:10:16.862707Z","submitted_at":"2016-09-09T19:48:41Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.02907","snapshot_observed_at":"2026-08-02T06:45:38.496994Z","title":"arXiv preprint arXiv:1609.02907 (2016) Encoder Choice and Graph Homophily in GCN Classification 11","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:38.496994Z"},"links":{"cited_paper":"/paper/1609.02907","citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:36f1ca3608a065a3ff3d8e9db5b11d24b77c4a83003d4527ff7740883b06eb45","observation_id":"c1cda437-df52-43f7-ad32-b0305dcf7230","resolution":{"observed_at":"2026-08-02T06:45:38.496994Z","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":"2026-08-02T06:45:38.677507Z","title":"IEEE Transactions on Medical Imaging38(9), 2198–2210 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:38.677507Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:a86a71c6db1321133a3fc977f10d766dded654fc8a7129d713b62c6e5e840153","observation_id":"d23b198c-1445-4272-afa8-8f4f07d48766","resolution":{"observed_at":"2026-08-02T06:45:38.677507Z","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":"2026-08-02T06:45:38.779638Z","title":"In: Medical Image Computing and Computer Assisted Intervention (MICCAI)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:38.779638Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:64cbbfa230c6884e72b3d60389d4d5b0a450228373a34e85894de3d355336a69","observation_id":"4c31463a-4b90-497c-b2a4-de763e397464","resolution":{"observed_at":"2026-08-02T06:45:38.779638Z","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":"2026-08-02T06:45:38.824166Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:38.824166Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:25a93fcc25d0682af5bf98ddaa419c4ba7c4ebd1bf0b60d78d5b129463dd6972","observation_id":"f3a2151f-6d90-4375-8481-36a10c6e96c0","resolution":{"observed_at":"2026-08-02T06:45:38.824166Z","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":"2026-08-02T06:45:38.905678Z","title":"IEEE Reviews in Biomedical Engineering (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:38.905678Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:c9097f3f25642ffc6de92354dc4790744bf2b1f582e99ce12ea4e2a07ca408fe","observation_id":"9228027a-9943-42ef-a7fd-d969d3e3a86b","resolution":{"observed_at":"2026-08-02T06:45:38.905678Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.06134","last_updated":"2023-07-21T05:02:21Z","snapshot_observed_at":"2026-08-09T23:14:35.131194Z","submitted_at":"2021-06-11T02:44:00Z","title":"Is Homophily a Necessity for Graph Neural Networks?","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.06134","snapshot_observed_at":"2026-08-02T06:45:38.986393Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:38.986393Z"},"links":{"cited_paper":"/paper/2106.06134","citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:a50f0e89d419d453d643c7fb3ca4cd0073853fe1ee66903d539da6f6311010e7","observation_id":"ce987b7a-f13f-4df9-864c-a4107692206b","resolution":{"observed_at":"2026-08-02T06:45:38.986393Z","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":"2026-08-02T06:45:39.198054Z","title":"IEEE Journal of Biomedical and Health Informatics22(4), 1218– 1226 (Aug 2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:39.198054Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:87a842f46fbece1fea92450fbb58bf948834629ce731012ba6ca40c8ccd56308","observation_id":"4ef51ee4-644e-4487-9e57-08ed4cde0109","resolution":{"observed_at":"2026-08-02T06:45:39.198054Z","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":"10.1007/s11548-025-03517-8","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"International Journal of Computer Assisted Radiology and Surgery","work_id":"01448ad9-331f-4d91-bc18-5d06060a2a2d","year":2025},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:39.392782Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:ddb92895fe8c1394701bfcb4b3eb91cb8efe9b020e769ff26767d0130f662f62","observation_id":"892b7371-e452-4c5d-bb27-9eb07a049a64","resolution":{"observed_at":"2026-08-02T06:48:27.128226Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-02T06:45:39.558014Z","title":"IEEE Trans","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:39.558014Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:6ae8344a6a090aa3c3cd2b7ebeeff0ef45cec7f2e22abd7bfae3b21dd07c9e45","observation_id":"048205d0-d963-4313-8203-2798c414cf76","resolution":{"observed_at":"2026-08-02T06:45:39.558014Z","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":"2026-08-02T06:45:39.668079Z","title":"Rutgers University (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:39.668079Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:40d59241925fe539af63ec27a66127c1c3c5ba54a828c6249d44e08917d5edd6","observation_id":"616a8bfa-1443-4c88-b652-9877d61b5a43","resolution":{"observed_at":"2026-08-02T06:45:39.668079Z","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":"10.1177/20552076241251660","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Digital Health10, 20552076241251660 (2024)","venue":"Digital Health","work_id":"9a062e77-4484-4cec-bda1-515a43b78e00","year":2024},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:39.763634Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:85b72a5e811efd9d254b87985ce2487e7a8a56437bfd162d4179984a09b0736d","observation_id":"3961ca10-0cfc-4d50-be29-e20b1cf17ea5","resolution":{"observed_at":"2026-08-02T06:48:26.991120Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-02T06:45:39.835018Z","title":"Nature580(7802), 252–256 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:39.835018Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:025782953f36c10882372525ebe16d3e31696ce510287499929c0e9f3433f9f4","observation_id":"fe90b298-511b-4d1d-8bf8-bf5da9af2131","resolution":{"observed_at":"2026-08-02T06:45:39.835018Z","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":"2026-08-02T06:45:39.901667Z","title":"Journal of the American Society of Echocardiography36(5), 482–489 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:39.901667Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:4befa753220dc4833f5f0cad7a70e15b8a4df8eb1933f4720836ccab97dbb1d8","observation_id":"1004bcf3-86b5-44de-95e9-5db6a64cbe21","resolution":{"observed_at":"2026-08-02T06:45:39.901667Z","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":"2026-08-02T06:45:39.984361Z","title":"Zenodo (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:39.984361Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:ab28bb241be3561f739b531632f8400abbe9500a3b63bbd7c602300152835752","observation_id":"16e2397a-b3f8-4885-8da0-621703ef8085","resolution":{"observed_at":"2026-08-02T06:45:39.984361Z","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":"2026-08-02T06:45:40.042872Z","title":"Computerized Medical Imaging and Graphics87, 101829 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:40.042872Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:d5a0e1279fb197f9760c08a775f435209f5cdc284e44d0e5dad12c6e16f82ecd","observation_id":"3a791129-2b4c-4a68-9e1a-f3faa228edf0","resolution":{"observed_at":"2026-08-02T06:45:40.042872Z","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":"10.17632/7fvgj4jsp7.3","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mendeley Data, V3 (2025)","venue":"Mendeley Data","work_id":"1fc36710-c673-4a99-b558-28e363658566","year":2025},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:40.118498Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:d792eea98135bf2baa0aa6e9f113af2784b76f5caa1ed7908af1280de6809312","observation_id":"dfa1c2e4-a8d4-4446-bf28-ec2f44360165","resolution":{"observed_at":"2026-08-02T06:48:26.910357Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-02T06:45:40.181620Z","title":"In: Medical Image Computing and Computer-Assisted Intervention (MICCAI)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:40.181620Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:22d67f98c0250ae8390f48bb9180fa6f99a7311e33875ac2c1f56c7de049b1da","observation_id":"151bd4b9-d24a-44fe-b79e-444636a400e8","resolution":{"observed_at":"2026-08-02T06:45:40.181620Z","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":"2026-08-02T06:45:40.242222Z","title":"Information Fusion p","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:40.242222Z"},"links":{"citing_paper":"/paper/2607.12054"},"observation_digest":"sha256:b795f6ef5e33dbe22ae3a7e06936999a0a35db198cfa4baec23d50b30a4c2fc7","observation_id":"c5b9ebff-7b3e-44d8-8579-77eeb8f4a86f","resolution":{"observed_at":"2026-08-02T06:45:40.242222Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.12054","last_updated":"2026-07-29T13:01:57Z","latest_version":3,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-02T21:28:28.053452Z","submitted_at":"2026-07-13T18:14:16Z","title":"Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":27,"verified_exact":5,"verified_fuzzy":0},"total_outbound_references":32},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.12054."}