{"as_of":"2026-08-10T12:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fdc6c88fd639482a39f5368654bc9d80b64bc2604aead5b22fa5ca228c4506a8","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:20:57.130271Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2507.05852/citation-record","integrity":"/paper/2507.05852/integrity","json":"/paper/2507.05852/citation-record.json","paper":"/paper/2507.05852"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:20:59.699575Z","title":"InInternational Conference on Medical Image Computing and Computer-Assisted Intervention, 383–393","venue":null,"work_id":"9bfa84bf-050e-48ab-bfb4-557485e23dd4","year":2024},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:55.415887Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:4f48bc406ddc89bb2ad52406097df815d79afd09a54fc8f9488db5d706dec01d","observation_id":"2325921d-794b-4a88-968d-4d251a35fd54","resolution":{"observed_at":"2026-08-06T19:20:59.702147Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:20:59.692175Z","title":"International journal of medical informatics, 59–67 (2018)","venue":null,"work_id":"2f591f14-7440-4823-b03f-edcda4787a6f","year":2018},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:55.516567Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:2f51ef2eb647ddd2e58a7c71987d218be02be111a1c755a11e8c352f31fa98b8","observation_id":"737bd197-8587-460e-85d4-c5b2ecc71ec8","resolution":{"observed_at":"2026-08-06T19:20:59.694528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.10162","last_updated":"2023-05-08T19:50:56Z","snapshot_observed_at":"2026-07-06T13:12:05.091944Z","submitted_at":"2022-05-20T13:10:43Z","title":"FedAdapter: Efficient Federated Learning for Modern NLP","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.10162","snapshot_observed_at":"2026-08-06T19:20:55.575261Z","title":"arXiv preprint arXiv:2205.10162 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:55.575261Z"},"links":{"cited_paper":"/paper/2205.10162","citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:41d63d64e99286275daf4081b378842570f6256954e1d673402f68d0b84a2e08","observation_id":"2075ca81-afd5-42e3-9c69-c53b37d86125","resolution":{"observed_at":"2026-08-06T19:20:55.575261Z","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":"2026-08-06T19:20:59.685376Z","title":"Advances in neural information pro- cessing systems (2019)","venue":null,"work_id":"c245470a-deeb-4dca-a8db-4cc02b6b799c","year":2019},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:55.641930Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:d20e66bb067dd6214514e33bd1e323639bb281010bac36b16cd95b57faadc449","observation_id":"8757afc0-64f4-4a82-b547-2826788024bf","resolution":{"observed_at":"2026-08-06T19:20:59.687654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:20:59.677802Z","title":"In- Proceedings of the AAAI Conference on Artificial Intelligence, 11285-11293 (2024)","venue":null,"work_id":"3c01b0c9-adbf-4194-b31e-e9c4f62f4201","year":2024},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:55.707543Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:27b7e1548679c3d2b7ce3df905b3557c2b07becbe8566fad809bc611ddcd6529","observation_id":"83061c60-1ba9-48f3-8a0d-2d013fa8624f","resolution":{"observed_at":"2026-08-06T19:20:59.680895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:20:59.669683Z","title":"IEEE conference on computer vision and pattern recog- nition, 248–255 (2009)","venue":null,"work_id":"bf3e52f1-7b3c-486c-82bc-1c445bf81642","year":2009},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:55.745821Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:cf21f56f457657e2006aba095903bc439998093c7d6e874b2689562f3a919442","observation_id":"77a7fbd8-6463-4c8f-a900-9cc35c6a083b","resolution":{"observed_at":"2026-08-06T19:20:59.672445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:20:59.662223Z","title":"Journal of diabetes science and technology (2009)","venue":null,"work_id":"694f899a-d46e-4030-a504-7400942e68ce","year":2009},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:55.821423Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:833db15c2be5b4a3c5377909612095c78ccd55bf83305876d48f13569bc4bde3","observation_id":"0a6adfbf-9841-48f7-a567-88bb7e9a234e","resolution":{"observed_at":"2026-08-06T19:20:59.665052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:20:59.654406Z","title":"In Proceed- ings of the IEEE/CVF international conference on computer vision, 15076–15086 (2021)","venue":null,"work_id":"013f7afe-c514-481d-9e9e-9aca4d520577","year":2021},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:55.878974Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:50efef6aa129e63dcf3d67ad604d721a6877b0a6da73e5a34426c2f761f0d08d","observation_id":"9383b26b-949b-4b9b-9011-19499cdbbaa2","resolution":{"observed_at":"2026-08-06T19:20:59.656933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:20:59.595755Z","title":"Pattern Recognition (2024)","venue":null,"work_id":"ece42a36-2492-4346-8da6-3d2e69108843","year":2024},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:55.929575Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:5943bd481e56156f8bdcc8559580e5213fcb6e6d8b563ca9f711a9e7651e0992","observation_id":"370f8582-f74d-4d75-8273-e0820726d427","resolution":{"observed_at":"2026-08-06T19:20:59.649693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:20:59.322413Z","title":"In Proceedings of the IEEE conference on computer vision and pattern recognition, 770–778 (2016)","venue":null,"work_id":"6f30bc2c-efc6-48e7-8148-bf6c3845d2dc","year":2016},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:56.007671Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:bf419fe1bd9cefd2b1fd36ff71074afe40fb8303681d53c326dce4d24b2ed148","observation_id":"f029b3a1-d364-4f99-8811-288a691d811b","resolution":{"observed_at":"2026-08-06T19:20:59.446388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:20:59.050287Z","title":"In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 16312-16322 (2023)","venue":null,"work_id":"69fd7448-168b-4af5-8ce9-d520a72cd4d8","year":2023},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:56.090655Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:aee91837c65cbe762711468dde3f07f48fd7592b1f3c38c5f282412b21b1a544","observation_id":"a5f71503-c72a-459d-9d81-3e38800fd328","resolution":{"observed_at":"2026-08-06T19:20:59.173660Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-06T19:20:56.127141Z","title":"arXiv preprint arXiv:1412.6980 (2014)","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:56.127141Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:003ddb0f4614f683f82b1ac155d29fd2581c7480c4681b390f0d8bbdc8b593e1","observation_id":"80aff5af-6d59-427b-9701-d3252a444aec","resolution":{"observed_at":"2026-08-06T19:20:56.127141Z","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":"2026-08-06T19:20:58.717193Z","title":"IEEE signal processing magazine, 50–60 (2020)","venue":null,"work_id":"fd9e224e-ad95-4731-ba54-56f6ffd497e3","year":2020},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:56.217412Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:1d9f4f202d5d2ed10c7f7413c46c8f4607f2a45309c36d84bb589c70f4aa387e","observation_id":"ea7543c6-7390-49f4-adfc-579a48522188","resolution":{"observed_at":"2026-08-06T19:20:58.882921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:20:58.462248Z","title":"Proceedings of Machine learning and systems, 429-450 (2020)","venue":null,"work_id":"60634ddf-6992-4c7b-83da-6d6a271e065c","year":2020},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:56.278808Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:8a40e86847692043b75da7220e3ee86c203823b67dec8452e9e9d03bf319f423","observation_id":"12e29a8b-86a1-464a-b4b9-de59facbea3b","resolution":{"observed_at":"2026-08-06T19:20:58.546881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.01523","last_updated":"2020-07-14T08:12:35Z","snapshot_observed_at":"2026-08-10T05:11:49.961881Z","submitted_at":"2020-01-06T12:40:21Z","title":"Think Locally, Act Globally: Federated Learning with Local and Global Representations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.01523","snapshot_observed_at":"2026-08-06T19:20:56.308439Z","title":"arXiv preprint arXiv:2001.01523 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:56.308439Z"},"links":{"cited_paper":"/paper/2001.01523","citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:5f831a7ed39250a8e2804a8039fcbb490ac93d0cec8fa60c1946e9446969e4b2","observation_id":"aac27652-da5f-45cd-8577-770f55af49a3","resolution":{"observed_at":"2026-08-06T19:20:56.308439Z","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":"2026-08-06T19:20:58.422308Z","title":"Mensah et al","venue":null,"work_id":"c353a03e-f8d5-4ad2-8985-22a4f69e857d","year":2022},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:56.354973Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:8c5b52285ea0a7c4227efc82fc85ca3fdf7d943e3126ac67eee775f4e3b71c4d","observation_id":"087b3467-0968-498b-8226-e1347264e7a7","resolution":{"observed_at":"2026-08-06T19:20:58.456664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:20:58.283769Z","title":"In Artificial intelligence and statistics, 1273–1282 (2017)","venue":null,"work_id":"8d8b2edf-68b6-47b3-8931-261669690176","year":2017},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:56.423522Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:91e0dfc53c5ef403128b33adb116902dbf1c04aaf9c4c638b76191afa428585f","observation_id":"7a7c7289-c8c1-4f2c-ba98-64ec3d6332bc","resolution":{"observed_at":"2026-08-06T19:20:58.339226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:20:58.184141Z","title":"NPJ digital medicine (2020)","venue":null,"work_id":"02b66717-5efa-47a5-8187-96b278672932","year":2020},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:56.504307Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:8b3caf1a69a7dc698c3ee60a8a219e125207ba501fc032374e462f08aea6a4bc","observation_id":"d11953db-7ee6-4b52-a514-adf172d7e24d","resolution":{"observed_at":"2026-08-06T19:20:58.238653Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:20:58.061774Z","title":"URL: https://github.com/berenslab/fundus_circle_cropping(2023)","venue":null,"work_id":"b30c6272-b60e-400c-9968-8490d176a4e1","year":2023},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:56.587533Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:daf1200ffb4827dffc9c97d1042847bd62307524f6d320ca01712a35179276e0","observation_id":"43cd7fb3-b04b-4ff9-b49e-9a34ece8b944","resolution":{"observed_at":"2026-08-06T19:20:58.121875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:20:57.968077Z","title":"NPJ digital medicine (2021)","venue":null,"work_id":"e9fa114f-0a2b-408a-b61b-6a589dedfe14","year":2021},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:56.648792Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:77d250c852fa8a384bc73893cbbcd6350f828b2351fc7143fd282b19adec48d1","observation_id":"c7454748-4505-437c-8d43-990f4cd530ac","resolution":{"observed_at":"2026-08-06T19:20:58.016008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:20:57.876527Z","title":"Ad- vances in neural information processing systems (2017)","venue":null,"work_id":"dd770cdb-56ee-4a66-9e57-848801b6df7d","year":2017},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:56.686906Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:572193676f48c1e2cd10e39e5a40a8b3927e65e83a2aa486f92d0d47d4d521ea","observation_id":"8aad8446-8932-4018-9c16-4b4bce4e5ce1","resolution":{"observed_at":"2026-08-06T19:20:57.917365Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:20:57.738396Z","title":"InProceedings of the AAAI conference on artificial intelligence, 8432–8440 (2022)","venue":null,"work_id":"38ddb9ae-48ea-4987-b407-0548af80a9e3","year":2022},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:56.804798Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:b45d2efb505023a354dcefed97b42dba749b3819ec16f2a0f607b21529ac66fa","observation_id":"99a726ff-82d4-493e-a4b2-7bc32a0eee49","resolution":{"observed_at":"2026-08-06T19:20:57.793573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:20:57.627066Z","title":"Advances in neural infor- mation processing systems, 7611-7623 (2020)","venue":null,"work_id":"8c10b31e-63b1-42ae-af6d-c4206216fbbd","year":2020},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:56.871396Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:a396a3be649877d3cf025849f484bf558c9a23ee4494419a90ec105068df7f8e","observation_id":"53e45057-49c4-467b-b9f3-873773afc1f6","resolution":{"observed_at":"2026-08-06T19:20:57.688154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:20:57.526484Z","title":"Nature communications (2022)","venue":null,"work_id":"81c8e0e8-036e-40da-bbca-afb212322331","year":2022},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:56.978756Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:b3ad1626ae8c40f8c8dc5215a9becebf349457fd223c8a69c511af9979139223","observation_id":"c4cd5477-9e2e-4253-aaf6-e1cb0fe11339","resolution":{"observed_at":"2026-08-06T19:20:57.568474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:20:57.437523Z","title":"InProceedings of the 32nd ACM International Conference on Multimedia, 7172-7181 (2024)","venue":null,"work_id":"c25444fd-98ed-456b-988e-5e0f530e2952","year":2024},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:57.020097Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:d1c2e7c0c9bef4f7da5f5d5355a87225f05089f7fc0015d69a524afa471c1c3b","observation_id":"4ebd1076-98fc-46b3-9ea9-c8816c398b27","resolution":{"observed_at":"2026-08-06T19:20:57.483965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:20:57.314303Z","title":"APSIPA Transactions on Signal and Information Processing (2024)","venue":null,"work_id":"5a15ebb6-8d8c-4a44-a706-352cba5c28b2","year":2024},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:57.074352Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:bfcf599a645d19c0def9c594423d9d68a9917fb1c5d2938331875cbc098b50e1","observation_id":"851aeac3-f4f7-4c6b-a0af-744a6e3167b3","resolution":{"observed_at":"2026-08-06T19:20:57.361776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:20:57.228085Z","title":"International Journal of Web Information Systems, 77–99 (2022)","venue":null,"work_id":"732478c2-9984-45d6-af0b-1127db9e43c4","year":2022},"citing_paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T19:20:57.130271Z"},"links":{"citing_paper":"/paper/2507.05852"},"observation_digest":"sha256:d7b9b6abb37f25c1ed65141c4d95a69f2572fe5aed7658a4e2d6014bea0935f2","observation_id":"d888503c-e11f-4a91-93e7-15bb3f55e92a","resolution":{"observed_at":"2026-08-06T19:20:57.252490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.05852","last_updated":"2025-07-08T10:30:08Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T05:12:24.348604Z","submitted_at":"2025-07-08T10:30:08Z","title":"Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":24},"total_outbound_references":27},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2507.05852."}