{"as_of":"2026-08-09T17:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dd9b685444a19c225de210a0a088487cab9351a9a276e2eae48af86b99368c62","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:36:18.067136Z","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":"2026-05-23T17:08:12.546375Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.15381","last_updated":"2024-09-08T09:38:11Z","snapshot_observed_at":"2026-08-08T17:06:17.634276Z","submitted_at":"2024-04-23T09:44:58Z","title":"Advances and Open Challenges in Federated Foundation Models","version":4},"cited_work":{"arxiv_id":"2404.15381","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.15381","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2404.15381 (2024)","venue":null,"work_id":"6f4f4afe-b43d-45e5-a1b1-cedd3798790b","year":2024},"citing_paper":{"arxiv_id":"2411.11707","last_updated":"2026-04-23T04:42:47Z","snapshot_observed_at":"2026-07-06T19:52:03.121993Z","submitted_at":"2024-11-18T16:34:58Z","title":"Federated Co-tuning Framework for Large and Small Language Models","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-23T17:08:05.240432Z"},"links":{"cited_paper":"/paper/2404.15381","citing_paper":"/paper/2411.11707"},"observation_digest":"sha256:57f087ccf158663ba0c820e07718ba52481a83f7c6e1a22bbde3206576ac4b43","observation_id":"002b0761-0cb4-4ad5-9c48-b7e3d39d4427","resolution":{"observed_at":"2026-05-23T17:08:12.548524Z","resolver_source":"arxiv_id","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":"2404.15381","last_updated":"2024-09-08T09:38:11Z","snapshot_observed_at":"2026-08-08T17:06:17.634276Z","submitted_at":"2024-04-23T09:44:58Z","title":"Advances and Open Challenges in Federated Foundation Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.15381","snapshot_observed_at":"2026-08-07T14:36:18.067136Z","title":"Advances and open challenges in federated learning with foundation models,","venue":null,"work_id":null,"year":2024},"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":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:36:18.067136Z"},"links":{"cited_paper":"/paper/2404.15381","citing_paper":"/paper/2505.18494"},"observation_digest":"sha256:427f079dccd6100c72b45e47b906e103750b3c4d473e2539e84dff9b99a77ef6","observation_id":"bb174c85-0152-415b-858b-21b2c781f771","resolution":{"observed_at":"2026-08-07T14:36:18.067136Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15381","last_updated":"2024-09-08T09:38:11Z","snapshot_observed_at":"2026-08-08T17:06:17.634276Z","submitted_at":"2024-04-23T09:44:58Z","title":"Advances and Open Challenges in Federated Foundation Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.15381","snapshot_observed_at":"2026-08-06T23:19:32.941263Z","title":"Advances and open challenges in federated learning with foundation models,","venue":null,"work_id":null,"year":2024},"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":7,"source":"pdf_text","source_observed_at":"2026-08-06T23:19:32.941263Z"},"links":{"cited_paper":"/paper/2404.15381","citing_paper":"/paper/2506.18732"},"observation_digest":"sha256:b5e71fac537f23eb605f39300d409c755ee3ff7f8d6bb573caf096eb6553a144","observation_id":"c2239d6d-7772-43fa-b35d-0921984cf48b","resolution":{"observed_at":"2026-08-06T23:19:32.941263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15381","last_updated":"2024-09-08T09:38:11Z","snapshot_observed_at":"2026-08-08T17:06:17.634276Z","submitted_at":"2024-04-23T09:44:58Z","title":"Advances and Open Challenges in Federated Foundation Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.15381","snapshot_observed_at":"2026-08-05T20:33:20.544017Z","title":"Advances and open challenges in federated learning with foundation models","venue":null,"work_id":null,"year":2024},"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":13,"source":"pdf_text","source_observed_at":"2026-08-05T20:33:20.544017Z"},"links":{"cited_paper":"/paper/2404.15381","citing_paper":"/paper/2508.10349"},"observation_digest":"sha256:306bee622a7032b1b34a101c6ce90c55adbbcaeb262b3bbcdb1f76787623adb4","observation_id":"f288b9b4-4430-4848-8ddc-b77b93fc740a","resolution":{"observed_at":"2026-08-05T20:33:20.544017Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15381","last_updated":"2024-09-08T09:38:11Z","snapshot_observed_at":"2026-08-08T17:06:17.634276Z","submitted_at":"2024-04-23T09:44:58Z","title":"Advances and Open Challenges in Federated Foundation Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.15381","snapshot_observed_at":"2026-08-05T05:37:33.861087Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.05142","last_updated":"2025-09-05T14:34:19Z","snapshot_observed_at":"2026-08-07T10:59:13.757925Z","submitted_at":"2025-09-05T14:34:19Z","title":"Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T05:37:33.861087Z"},"links":{"cited_paper":"/paper/2404.15381","citing_paper":"/paper/2509.05142"},"observation_digest":"sha256:b1a93ff70d4d0be20aebaff418c1dcf1eac45e5f5e8357980ee1010cf797b3c7","observation_id":"1938fa36-d99e-44ab-89e6-6e015a27a856","resolution":{"observed_at":"2026-08-05T05:37:33.861087Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15381","last_updated":"2024-09-08T09:38:11Z","snapshot_observed_at":"2026-08-08T17:06:17.634276Z","submitted_at":"2024-04-23T09:44:58Z","title":"Advances and Open Challenges in Federated Foundation Models","version":4},"cited_work":{"arxiv_id":"2404.15381","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.15381","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2404.15381 (2024)","venue":null,"work_id":"6f4f4afe-b43d-45e5-a1b1-cedd3798790b","year":2024},"citing_paper":{"arxiv_id":"2605.18028","last_updated":"2026-05-18T08:18:22Z","snapshot_observed_at":"2026-08-01T16:16:20.727121Z","submitted_at":"2026-05-18T08:18:22Z","title":"FedSDR: Federated Self-Distillation with Rectification","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-05-20T12:18:10.362573Z"},"links":{"cited_paper":"/paper/2404.15381","citing_paper":"/paper/2605.18028"},"observation_digest":"sha256:485ef9ca8eeea62dcaedbfac87dcfc24cf1a72d11540065dedeaabcca336d1e7","observation_id":"aaf6b9f5-6e9b-4b79-b0da-f7b6d15f4766","resolution":{"observed_at":"2026-05-20T12:18:16.272219Z","resolver_source":"arxiv_id","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":"2404.15381","last_updated":"2024-09-08T09:38:11Z","snapshot_observed_at":"2026-08-08T17:06:17.634276Z","submitted_at":"2024-04-23T09:44:58Z","title":"Advances and Open Challenges in Federated Foundation Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.15381","snapshot_observed_at":"2026-08-02T09:01:49.370964Z","title":"arXiv preprint arXiv:2404.15381 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19391","last_updated":"2026-07-02T19:01:59Z","snapshot_observed_at":"2026-08-06T10:12:22.643827Z","submitted_at":"2026-07-02T19:01:59Z","title":"LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-02T09:01:49.370964Z"},"links":{"cited_paper":"/paper/2404.15381","citing_paper":"/paper/2607.19391"},"observation_digest":"sha256:26b4fc41da2fdbca822fc8312adf9c0dbf892a15cf2cc50356b4c56515133fc5","observation_id":"fbd93b91-143d-46f6-9140-a233f1fa222b","resolution":{"observed_at":"2026-08-02T09:01:49.370964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2404.15381/citation-record","integrity":"/paper/2404.15381/integrity","json":"/paper/2404.15381/citation-record.json","paper":"/paper/2404.15381"},"outbound":[],"paper":{"arxiv_id":"2404.15381","last_updated":"2024-09-08T09:38:11Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T17:06:17.634276Z","submitted_at":"2024-04-23T09:44:58Z","title":"Advances and Open Challenges in Federated Foundation Models"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.15381."}