Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Dual-Personalizing Adapter for Federated Foundation Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.19211.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:18:32.275427Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T04:43:53.722062Z
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 ac3df5ef-445a-4a96-86d3-02654dd795f5 · inbound
A Survey on Efficient Federated Learning Methods for Foundation Model Training cites this paper.
A Survey on Efficient Federated Learning Methods for Foundation Model Training Dual-Personalizing Adapter for Federated Foundation Models
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T04:43:53.725478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0d7e6b8f-9a1d-413c-b62c-2b265fa7d5c3 · inbound
FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models cites this paper.
FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models Dual-Personalizing Adapter for Federated Foundation Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:18:32.275427Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1c5f178-a8b9-46bb-ba12-9a584c123fce · inbound
LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning cites this paper.
LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning Dual-Personalizing Adapter for Federated Foundation Models
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T09:01:48.425551Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.