{"as_of":"2026-08-11T10:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bcf3c902c413465855e0c1470ee29e704c547f22c837e373e82342dd895592e7","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":20,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T05:59:18.803180Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-22T15:34:57.812220Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.15546","snapshot_observed_at":"2026-08-11T05:59:18.803180Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.16969","last_updated":"2024-12-22T11:00:00Z","snapshot_observed_at":"2026-08-11T05:53:24.172323Z","submitted_at":"2024-12-22T11:00:00Z","title":"Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-11T05:59:18.803180Z"},"links":{"cited_paper":"/paper/2306.15546","citing_paper":"/paper/2412.16969"},"observation_digest":"sha256:d8a8a9abb31f7df8dcab44107a3c480e77b7e8c7ad3dbeb1081ded5b1bb0b18a","observation_id":"6f994a7b-51ad-4c44-9e84-7fd83de22f57","resolution":{"observed_at":"2026-08-11T05:59:18.803180Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.15546","snapshot_observed_at":"2026-08-11T00:10:23.885995Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.19654","last_updated":"2024-12-27T13:59:58Z","snapshot_observed_at":"2026-08-10T23:58:44.295773Z","submitted_at":"2024-12-27T13:59:58Z","title":"Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T00:10:23.885995Z"},"links":{"cited_paper":"/paper/2306.15546","citing_paper":"/paper/2412.19654"},"observation_digest":"sha256:4caf1cad1178a5e4cc7a2f56b355e0f77e9cc156e84fbb7f0c544a1d8e74149b","observation_id":"3ef68076-d8cc-4df9-a923-54b036a669a0","resolution":{"observed_at":"2026-08-11T00:10:23.885995Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.15546","snapshot_observed_at":"2026-08-10T22:29:19.838693Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.01653","last_updated":"2025-01-03T06:10:09Z","snapshot_observed_at":"2026-08-10T22:20:50.775095Z","submitted_at":"2025-01-03T06:10:09Z","title":"Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-10T22:29:19.838693Z"},"links":{"cited_paper":"/paper/2306.15546","citing_paper":"/paper/2501.01653"},"observation_digest":"sha256:8907bf760fedaaada3eb3b395b2d8ddd4e1520a875c3ff42f9e5fbe1526398f6","observation_id":"5832320a-03b3-4b15-90ab-800b69b50a2c","resolution":{"observed_at":"2026-08-10T22:29:19.838693Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.15546","snapshot_observed_at":"2026-08-10T21:36:09.168255Z","title":"When foundation model meets federated learning: Motivations, challenges, and future directions,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.04436","last_updated":"2025-01-08T11:37:06Z","snapshot_observed_at":"2026-08-10T21:30:48.554554Z","submitted_at":"2025-01-08T11:37:06Z","title":"Federated Fine-Tuning of LLMs: Framework Comparison and Research Directions","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T21:36:09.168255Z"},"links":{"cited_paper":"/paper/2306.15546","citing_paper":"/paper/2501.04436"},"observation_digest":"sha256:c291ce3055195a87830f46069fa002e9e08f73ad3f81c56fcda8dc4ad2185fbd","observation_id":"9019eee1-f4a3-47cb-a50a-fcbfc58fd0ac","resolution":{"observed_at":"2026-08-10T21:36:09.168255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions","version":3},"cited_work":{"arxiv_id":"2306.15546","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.15546","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"When foundation model meets federated learning: Motivations, challenges, and future directions","venue":null,"work_id":"d71a769f-de92-4c40-95b8-c37223327e1d","year":2023},"citing_paper":{"arxiv_id":"2505.06907","last_updated":"2026-05-18T08:23:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-11T08:57:53Z","title":"A Survey on Foundation Models for Personalized Federated Intelligence","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-22T15:32:15.293888Z"},"links":{"cited_paper":"/paper/2306.15546","citing_paper":"/paper/2505.06907"},"observation_digest":"sha256:8aced44eaad8c9d36c909688f5a1a0f62a97d17d5374158c42aed32028e248e0","observation_id":"172c19ca-c4dc-4602-b3e9-fb15f0c73473","resolution":{"observed_at":"2026-05-22T15:34:57.814391Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.15546","snapshot_observed_at":"2026-08-07T14:36:17.993928Z","title":"When foundation model meets federated learning: Motivations, challenges, and future directions,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18494","last_updated":"2025-05-24T04:12:12Z","snapshot_observed_at":"2026-08-09T13:16:27.056248Z","submitted_at":"2025-05-24T04:12:12Z","title":"FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T14:36:17.993928Z"},"links":{"cited_paper":"/paper/2306.15546","citing_paper":"/paper/2505.18494"},"observation_digest":"sha256:94f6e2c8d56122762525831f5848fa9431e84b1352658d7b3949c2e36db36949","observation_id":"fc76bdf5-91ef-4412-93ed-c57e1b8aedf4","resolution":{"observed_at":"2026-08-07T14:36:17.993928Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.15546","snapshot_observed_at":"2026-08-07T12:05:54.828295Z","title":"Zhuang, C","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00743","last_updated":"2025-05-31T23:09:26Z","snapshot_observed_at":"2026-08-10T11:18:14.899210Z","submitted_at":"2025-05-31T23:09:26Z","title":"Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:54.828295Z"},"links":{"cited_paper":"/paper/2306.15546","citing_paper":"/paper/2506.00743"},"observation_digest":"sha256:108581476d3a5b4fb4d51e23a6b66b135490328809101fb887bbfca250db5851","observation_id":"e2c01c79-c464-411d-9092-cef4b78746c8","resolution":{"observed_at":"2026-08-07T12:05:54.828295Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.15546","snapshot_observed_at":"2026-08-07T10:19:48.331580Z","title":"& Lyu, L","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05683","last_updated":"2025-08-05T23:18:51Z","snapshot_observed_at":"2026-08-09T16:51:16.808700Z","submitted_at":"2025-06-06T02:23:42Z","title":"Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR","version":4},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:48.331580Z"},"links":{"cited_paper":"/paper/2306.15546","citing_paper":"/paper/2506.05683"},"observation_digest":"sha256:8409ce1e290eccf90a14289e891dbb27948ca8ea4aca24ac95877b7140fff6e6","observation_id":"33945407-5d97-4662-8645-ccb654ace330","resolution":{"observed_at":"2026-08-07T10:19:48.331580Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions","version":3},"cited_work":{"arxiv_id":"2306.15546","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.15546","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"When foundation model meets federated learning: Motivations, challenges, and future directions","venue":null,"work_id":"d71a769f-de92-4c40-95b8-c37223327e1d","year":2023},"citing_paper":{"arxiv_id":"2506.11563","last_updated":"2026-05-06T22:11:53Z","snapshot_observed_at":"2026-08-07T18:17:24.844242Z","submitted_at":"2025-06-13T08:17:07Z","title":"A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-05-19T09:28:32.185398Z"},"links":{"cited_paper":"/paper/2306.15546","citing_paper":"/paper/2506.11563"},"observation_digest":"sha256:cdb7dfd74a8438f9f16832b6b73e65419568b2c248173588cefb6ef1e945ab4d","observation_id":"c7c0a385-89d6-4c65-abe0-60a4fc34a601","resolution":{"observed_at":"2026-05-19T09:32:16.557022Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.15546","snapshot_observed_at":"2026-08-07T01:03:43.510839Z","title":"When foundation model meets federated learning: Motivations, challenges, and future directions","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.12213","last_updated":"2025-06-13T20:31:17Z","snapshot_observed_at":"2026-08-07T16:12:28.716043Z","submitted_at":"2025-06-13T20:31:17Z","title":"Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T01:03:43.510839Z"},"links":{"cited_paper":"/paper/2306.15546","citing_paper":"/paper/2506.12213"},"observation_digest":"sha256:1d50853dad6a81ea329e106b6a81519c6c82a8c22404b8065fb849553039dca5","observation_id":"73dc3062-6bc7-4978-8d56-d9eafedb44fa","resolution":{"observed_at":"2026-08-07T01:03:43.510839Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.15546","snapshot_observed_at":"2026-08-06T23:19:34.898298Z","title":"When foundation model meets federated learning: Motivations, challenges, and future directions,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18732","last_updated":"2025-06-23T15:09:14Z","snapshot_observed_at":"2026-08-06T23:13:24.390194Z","submitted_at":"2025-06-23T15:09:14Z","title":"Towards Group Fairness with Multiple Sensitive Attributes in Federated Foundation Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T23:19:34.898298Z"},"links":{"cited_paper":"/paper/2306.15546","citing_paper":"/paper/2506.18732"},"observation_digest":"sha256:93ebaf0546038b99f6cd131ba05815d4c733a50d4894e678d37300a6907dd77c","observation_id":"f2d94276-d50c-42b7-ae6e-c4e64d4208b9","resolution":{"observed_at":"2026-08-06T23:19:34.898298Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.15546","snapshot_observed_at":"2026-08-06T19:11:22.712277Z","title":"When foundation model meets federated learning: Motivations, challenges, and future directions,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06449","last_updated":"2025-07-08T23:24:07Z","snapshot_observed_at":"2026-08-08T03:51:56.991681Z","submitted_at":"2025-07-08T23:24:07Z","title":"FedPhD: Federated Pruning with Hierarchical Learning of Diffusion Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T19:11:22.712277Z"},"links":{"cited_paper":"/paper/2306.15546","citing_paper":"/paper/2507.06449"},"observation_digest":"sha256:3188b3e76a9240a18b810f1089b0a19b7b9950624a26ef2bbb77ad7cb2797b0b","observation_id":"a8969388-64eb-45d1-8970-372af9273cd9","resolution":{"observed_at":"2026-08-06T19:11:22.712277Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.15546","snapshot_observed_at":"2026-08-06T15:40:19.442782Z","title":"When foundation model meets federated learning: Motivations, challenges, and future directions","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.15349","last_updated":"2025-08-27T16:50:45Z","snapshot_observed_at":"2026-08-08T14:35:59.872910Z","submitted_at":"2025-07-21T08:01:43Z","title":"Scaling Decentralized Learning with FLock","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T15:40:19.442782Z"},"links":{"cited_paper":"/paper/2306.15546","citing_paper":"/paper/2507.15349"},"observation_digest":"sha256:c425f5b77dc0e93f3507a6a88decbbf3b0fd5e3765646605d3c22dd61e5cc61f","observation_id":"2b71659f-a181-45cc-a244-55cfe7fcd25c","resolution":{"observed_at":"2026-08-06T15:40:19.442782Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.15546","snapshot_observed_at":"2026-08-05T20:33:20.448378Z","title":"When foundation model meets federated learning: Motivations, challenges, and future directions","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.10349","last_updated":"2025-08-14T05:14:00Z","snapshot_observed_at":"2026-08-09T06:37:52.095629Z","submitted_at":"2025-08-14T05:14:00Z","title":"Flexible Personalized Split Federated Learning for On-Device Fine-Tuning of Foundation Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T20:33:20.448378Z"},"links":{"cited_paper":"/paper/2306.15546","citing_paper":"/paper/2508.10349"},"observation_digest":"sha256:072c39816924a78963aaba203cddc0c171868ee24eacd87c147f67c3ae3706a4","observation_id":"2d1eb8ec-e472-480c-a81f-4e09d1b8ee0a","resolution":{"observed_at":"2026-08-05T20:33:20.448378Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.15546","snapshot_observed_at":"2026-08-05T18:55:33.803081Z","title":"When foundation model meets federated learning: Motivations, challenges, and future directions","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.13787","last_updated":"2025-08-19T12:43:49Z","snapshot_observed_at":"2026-08-07T07:31:50.924156Z","submitted_at":"2025-08-19T12:43:49Z","title":"BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web","version":1},"reference_index":116,"source":"arxiv_source","source_observed_at":"2026-08-05T18:55:33.803081Z"},"links":{"cited_paper":"/paper/2306.15546","citing_paper":"/paper/2508.13787"},"observation_digest":"sha256:51664bb537d98471e3bed0351b726e13951dd919a2ef024a2d36698783d0bd5c","observation_id":"fe2a3f46-fee7-4188-9920-2bbbe1a0923b","resolution":{"observed_at":"2026-08-05T18:55:33.803081Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.15546","snapshot_observed_at":"2026-08-05T12:23:54.359683Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.10503","last_updated":"2025-09-01T17:39:25Z","snapshot_observed_at":"2026-08-10T12:05:40.597164Z","submitted_at":"2025-09-01T17:39:25Z","title":"FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-05T12:23:54.359683Z"},"links":{"cited_paper":"/paper/2306.15546","citing_paper":"/paper/2509.10503"},"observation_digest":"sha256:6eba728b3871716c774aa6ad58d35e5ff4b1d99cde8bd85d60aba648148a48c2","observation_id":"62669d8c-1e79-41d5-b5ee-343ad64e9cf0","resolution":{"observed_at":"2026-08-05T12:23:54.359683Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions","version":3},"cited_work":{"arxiv_id":"2306.15546","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.15546","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"When foundation model meets federated learning: Motivations, challenges, and future directions","venue":null,"work_id":"d71a769f-de92-4c40-95b8-c37223327e1d","year":2023},"citing_paper":{"arxiv_id":"2604.00050","last_updated":"2026-04-05T19:47:01Z","snapshot_observed_at":"2026-08-06T10:57:16.835041Z","submitted_at":"2026-03-30T20:01:53Z","title":"Task-Centric Personalized Federated Fine-Tuning of Language Models","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-14T21:26:17.264779Z"},"links":{"cited_paper":"/paper/2306.15546","citing_paper":"/paper/2604.00050"},"observation_digest":"sha256:c526ac1bfdffbb02ee7ea2879e48426e1fc612c679c4fc2c63becd8644c353fe","observation_id":"fd755cb6-de30-443e-9d19-c2f544c15639","resolution":{"observed_at":"2026-05-14T21:27:59.627493Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions","version":3},"cited_work":{"arxiv_id":"2306.15546","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.15546","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"When foundation model meets federated learning: Motivations, challenges, and future directions","venue":null,"work_id":"d71a769f-de92-4c40-95b8-c37223327e1d","year":2023},"citing_paper":{"arxiv_id":"2605.02125","last_updated":"2026-05-29T05:35:14Z","snapshot_observed_at":"2026-07-06T23:15:18.048504Z","submitted_at":"2026-05-04T01:11:02Z","title":"FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-05-08T17:28:28.308039Z"},"links":{"cited_paper":"/paper/2306.15546","citing_paper":"/paper/2605.02125"},"observation_digest":"sha256:bd5be4fd26a8955f6dbc48bfd915ad0d6cb89034e08f90cb48c0b9847ac65552","observation_id":"4a410fe2-a495-4ed6-b6e5-ffb54e75af45","resolution":{"observed_at":"2026-05-11T17:31:08.752069Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions","version":3},"cited_work":{"arxiv_id":"2306.15546","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.15546","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"When foundation model meets federated learning: Motivations, challenges, and future directions","venue":null,"work_id":"d71a769f-de92-4c40-95b8-c37223327e1d","year":2023},"citing_paper":{"arxiv_id":"2605.02125","last_updated":"2026-05-29T05:35:14Z","snapshot_observed_at":"2026-07-06T23:15:18.048504Z","submitted_at":"2026-05-04T01:11:02Z","title":"FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-05-12T04:30:31.877453Z"},"links":{"cited_paper":"/paper/2306.15546","citing_paper":"/paper/2605.02125"},"observation_digest":"sha256:bc5569bea5a33db4c03821843f868d089953d9421e7fa09e4f68f368730768e6","observation_id":"744239e0-fd3e-4bbb-9dc5-de02421523fa","resolution":{"observed_at":"2026-05-12T06:11:25.490040Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.15546","snapshot_observed_at":"2026-08-02T05:28:45.032058Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.13386","last_updated":"2026-07-15T02:28:46Z","snapshot_observed_at":"2026-08-11T00:19:42.043703Z","submitted_at":"2026-07-15T02:28:46Z","title":"FM$^2$: Unified Federated Foundation Models for Heterogeneous Multimodal Medical Imaging","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-02T05:28:45.032058Z"},"links":{"cited_paper":"/paper/2306.15546","citing_paper":"/paper/2607.13386"},"observation_digest":"sha256:7d76fb08a712d3b6497bbd1e39c43e24f7360e7ff7b57566fcb9ecca1970a692","observation_id":"5bbeda74-911f-4c9e-9083-edffce5f87dc","resolution":{"observed_at":"2026-08-02T05:28:45.032058Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2306.15546/citation-record","integrity":"/paper/2306.15546/integrity","json":"/paper/2306.15546/citation-record.json","paper":"/paper/2306.15546"},"outbound":[],"paper":{"arxiv_id":"2306.15546","last_updated":"2025-05-04T11:24:55Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T12:37:18.928522Z","submitted_at":"2023-06-27T15:15:55Z","title":"When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2306.15546."}