{"as_of":"2026-08-08T06:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5aa9e83cc16a89fb49d701dca1d4b8e7aab6767515070e4f0c08d5b36530882e","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T22:59:37.142062Z","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":"2026-07-03T00:57:30.744391Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2107.00778","last_updated":"2022-07-11T02:47:28Z","snapshot_observed_at":"2026-07-06T11:25:15.380607Z","submitted_at":"2021-07-02T00:25:48Z","title":"On Bridging Generic and Personalized Federated Learning for Image Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.00778","snapshot_observed_at":"2026-08-06T22:59:37.142062Z","title":"On bridging generic and personalized federated learning.arXiv preprint arXiv:2107.00778, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.20245","last_updated":"2025-06-25T08:42:10Z","snapshot_observed_at":"2026-08-06T22:50:54.093530Z","submitted_at":"2025-06-25T08:42:10Z","title":"FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T22:59:37.142062Z"},"links":{"cited_paper":"/paper/2107.00778","citing_paper":"/paper/2506.20245"},"observation_digest":"sha256:90b4e5a381f675cc52b316df930786d7cd91ca5f4847a55228ff63d7fbb5c5e8","observation_id":"eb358611-8d65-4489-98fd-94e1c064a464","resolution":{"observed_at":"2026-08-06T22:59:37.142062Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.00778","last_updated":"2022-07-11T02:47:28Z","snapshot_observed_at":"2026-07-06T11:25:15.380607Z","submitted_at":"2021-07-02T00:25:48Z","title":"On Bridging Generic and Personalized Federated Learning for Image Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.00778","snapshot_observed_at":"2026-08-06T19:58:02.524288Z","title":"On bridging generic and personalized federated learning for image classification","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.04327","last_updated":"2025-07-06T10:24:33Z","snapshot_observed_at":"2026-08-06T19:48:01.051648Z","submitted_at":"2025-07-06T10:24:33Z","title":"TinyProto: Communication-Efficient Federated Learning with Sparse Prototypes in Resource-Constrained Environments","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T19:58:02.524288Z"},"links":{"cited_paper":"/paper/2107.00778","citing_paper":"/paper/2507.04327"},"observation_digest":"sha256:8386cb39088d66ec3eaea103524db5591f7cb9fa1064de5d32f976754f03cdaa","observation_id":"5d440f1a-c9d8-4f5b-b24b-e82a7b8f3cab","resolution":{"observed_at":"2026-08-06T19:58:02.524288Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.00778","last_updated":"2022-07-11T02:47:28Z","snapshot_observed_at":"2026-07-06T11:25:15.380607Z","submitted_at":"2021-07-02T00:25:48Z","title":"On Bridging Generic and Personalized Federated Learning for Image Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.00778","snapshot_observed_at":"2026-08-05T20:19:02.856519Z","title":"Chen and W.-L","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.10840","last_updated":"2025-08-14T17:06:50Z","snapshot_observed_at":"2026-08-08T06:34:11.563189Z","submitted_at":"2025-08-14T17:06:50Z","title":"Generalizable Federated Learning using Client Adaptive Focal Modulation","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-05T20:19:02.856519Z"},"links":{"cited_paper":"/paper/2107.00778","citing_paper":"/paper/2508.10840"},"observation_digest":"sha256:dd44b90d8dff175329245f5d3c5a753f14ff924f9ee0fb525ad14e556b580140","observation_id":"e9d1d401-b044-4c6c-87b9-75da603e1ff9","resolution":{"observed_at":"2026-08-05T20:19:02.856519Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.00778","last_updated":"2022-07-11T02:47:28Z","snapshot_observed_at":"2026-07-06T11:25:15.380607Z","submitted_at":"2021-07-02T00:25:48Z","title":"On Bridging Generic and Personalized Federated Learning for Image Classification","version":2},"cited_work":{"arxiv_id":"2107.00778","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2107.00778","snapshot_observed_at":"2026-07-03T00:57:30.744391Z","title":"On bridging generic and personalized federated learn- ing for image classification.arXiv preprint arXiv:2107.00778, 2021","venue":null,"work_id":"8e995893-eb44-4367-b432-1b5602e40613","year":2021},"citing_paper":{"arxiv_id":"2606.10250","last_updated":"2026-06-08T23:36:29Z","snapshot_observed_at":"2026-07-06T23:49:27.565372Z","submitted_at":"2026-06-08T23:36:29Z","title":"Multi-Level Analyzation of Imbalance to Resolve Non-IID-Ness in Federated Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-27T16:51:20.071589Z"},"links":{"cited_paper":"/paper/2107.00778","citing_paper":"/paper/2606.10250"},"observation_digest":"sha256:254711041c38691074c11ca7959c26abacdb609c28327e3d5a1d7f856bb0d975","observation_id":"bc6acdb8-82fc-4f49-babd-7808d7f48c12","resolution":{"observed_at":"2026-07-03T00:57:30.746271Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2107.00778/citation-record","integrity":"/paper/2107.00778/integrity","json":"/paper/2107.00778/citation-record.json","paper":"/paper/2107.00778"},"outbound":[],"paper":{"arxiv_id":"2107.00778","last_updated":"2022-07-11T02:47:28Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T11:25:15.380607Z","submitted_at":"2021-07-02T00:25:48Z","title":"On Bridging Generic and Personalized Federated Learning for Image Classification"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2107.00778."}