{"as_of":"2026-08-16T09:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f71ff78429c7fe9a9564387e10016a1c63681eb6fbb6849891b09c0785f6ebb7","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T22:03:19.378853Z","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":"2026-05-15T20:10:18.152736Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.00247","last_updated":"2023-10-04T18:27:59Z","snapshot_observed_at":"2026-08-16T01:41:06.767827Z","submitted_at":"2023-09-30T04:31:53Z","title":"Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00247","snapshot_observed_at":"2026-08-15T22:03:19.378853Z","title":"Pablo Muñoz, and Ali Jannesari","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.08830","last_updated":"2025-05-13T03:23:54Z","snapshot_observed_at":"2026-08-15T21:58:44.996474Z","submitted_at":"2025-05-13T03:23:54Z","title":"Federated Large Language Models: Feasibility, Robustness, Security and Future Directions","version":1},"reference_index":134,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:19.378853Z"},"links":{"cited_paper":"/paper/2310.00247","citing_paper":"/paper/2505.08830"},"observation_digest":"sha256:6b67aef15882d20667c0b283b1d60f5ea474765a2b6e7b0fd16c9055a6c049fa","observation_id":"302f5050-0c74-4a47-a01d-e9e75d14c315","resolution":{"observed_at":"2026-08-15T22:03:19.378853Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00247","last_updated":"2023-10-04T18:27:59Z","snapshot_observed_at":"2026-08-16T01:41:06.767827Z","submitted_at":"2023-09-30T04:31:53Z","title":"Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning","version":2},"cited_work":{"arxiv_id":"2310.00247","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.00247","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Sixing Yu, J Pablo Mu ˜noz, and Ali Jannesari","venue":null,"work_id":"ac08acc5-7d92-4359-92d3-93c01bbace1c","year":null},"citing_paper":{"arxiv_id":"2602.19926","last_updated":"2026-02-23T15:05:28Z","snapshot_observed_at":"2026-08-12T17:19:44.382097Z","submitted_at":"2026-02-23T15:05:28Z","title":"Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-15T20:07:38.811639Z"},"links":{"cited_paper":"/paper/2310.00247","citing_paper":"/paper/2602.19926"},"observation_digest":"sha256:aa152489add5d330ce90adc5ea4ca41af4a323ef307e787fa432a4ae08b61668","observation_id":"74b1a860-ea5c-433f-8bda-c7ebcb41da4f","resolution":{"observed_at":"2026-05-15T20:10:18.155916Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00247","last_updated":"2023-10-04T18:27:59Z","snapshot_observed_at":"2026-08-16T01:41:06.767827Z","submitted_at":"2023-09-30T04:31:53Z","title":"Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00247","snapshot_observed_at":"2026-08-14T04:16:48.821293Z","title":"Pablo Muñoz, and Ali Jannesari","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.10144","last_updated":"2026-08-10T18:59:25Z","snapshot_observed_at":"2026-08-15T03:54:47.905903Z","submitted_at":"2026-08-10T18:59:25Z","title":"SeFoRA: Sketch-Aggregated Federated Low-Rank Adaptation with Heterogeneous Client Ranks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T04:16:48.821293Z"},"links":{"cited_paper":"/paper/2310.00247","citing_paper":"/paper/2608.10144"},"observation_digest":"sha256:3c6317e480e40ba8c390381185dc531f9817df505308a01abb4e637b69947bef","observation_id":"403d99ee-8fc8-4c0d-8e88-c5793100199a","resolution":{"observed_at":"2026-08-14T04:16:48.821293Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2310.00247/citation-record","integrity":"/paper/2310.00247/integrity","json":"/paper/2310.00247/citation-record.json","paper":"/paper/2310.00247"},"outbound":[],"paper":{"arxiv_id":"2310.00247","last_updated":"2023-10-04T18:27:59Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T01:41:06.767827Z","submitted_at":"2023-09-30T04:31:53Z","title":"Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.00247."}