Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning
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.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:03:19.378853Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T20:10:18.152736Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 302f5050-0c74-4a47-a01d-e9e75d14c315 · inbound
Federated Large Language Models: Feasibility, Robustness, Security and Future Directions cites this paper.
Federated Large Language Models: Feasibility, Robustness, Security and Future Directions Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning
Reference 134
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:03:19.378853Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74b1a860-ea5c-433f-8bda-c7ebcb41da4f · inbound
Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models cites this paper.
Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T20:10:18.155916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 403d99ee-8fc8-4c0d-8e88-c5793100199a · inbound
SeFoRA: Sketch-Aggregated Federated Low-Rank Adaptation with Heterogeneous Client Ranks cites this paper.
SeFoRA: Sketch-Aggregated Federated Low-Rank Adaptation with Heterogeneous Client Ranks Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:16:48.821293Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.