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Paper Citation Record · LEDGER

Dual-Personalizing Adapter for Federated Foundation Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.19211.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2403.19211 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:33:26.967481Z

measured 0 of 1 external citation measurements

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-24T04:43:50.917201Z digest=sha256:36b24e60aab199d0f67aea5dff25262cd8c58a085c811647d3f7b74c37e23afa

Observation b41f09dd-034e-49c6-bd83-56de8ce65cf0 · inbound

Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning cites this paper.

Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning Dual-Personalizing Adapter for Federated Foundation Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T22:29:19.790316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:29:19.790316Z digest=sha256:31f99f0e032b9d5e94eb873dfd49eb0e0a54f7cb8938d71c656f570fca40828b

Observation 8e5d379a-8311-4bd1-90be-d5670be39b46 · inbound

Pilot: Building the Federated Multimodal Instruction Tuning Framework cites this paper.

Pilot: Building the Federated Multimodal Instruction Tuning Framework Dual-Personalizing Adapter for Federated Foundation Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:36.635342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:59:36.635342Z digest=sha256:1d582336544b71842e2607438767331d8364c4fbf46d867571e55e1fb50e6855

Observation fae2a45d-b02e-4686-90b5-258328afebae · inbound

Federated Adapter on Foundation Models: An Out-Of-Distribution Approach cites this paper.

Federated Adapter on Foundation Models: An Out-Of-Distribution Approach Dual-Personalizing Adapter for Federated Foundation Models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-16T04:33:26.967481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:33:26.967481Z digest=sha256:2e2e8516314bce340d465e3dae5b8c0eae88276450973d6a6ca6792ea693101e

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.

source=arxiv_source observed=2026-08-07T04:18:32.275427Z digest=sha256:f57f4ab19705d935664622101840bcfa5d0849c113c2670becf34d77231a2e85

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.

source=arxiv_source observed=2026-08-02T09:01:48.425551Z digest=sha256:ed9536a0a5ee08eb917ce007cfa6279159216dfabfafd3d4adc0ec7a5230c321