Paper Citation Record · LEDGER

Parametric Feature Transfer: One-shot Federated Learning with Foundation Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.01862.

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

pith.paper-citation-record.v1
2402.01862 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:38:36.409019Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T08:47:02.073277Z

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 f142190b-b819-4a97-949b-567f9e86b758 · inbound

One-shot Federated Learning Methods: A Practical Guide cites this paper.

One-shot Federated Learning Methods: A Practical Guide Parametric Feature Transfer: One-shot Federated Learning with Foundation Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T22:38:36.409019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc566f6e-d2e6-43e3-a7f1-d57f8a14c800 · inbound

Federated Gaussian Mixture Models cites this paper.

Federated Gaussian Mixture Models Parametric Feature Transfer: One-shot Federated Learning with Foundation Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:47.456498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cab93db1-d73a-4867-a839-999d3a319397 · inbound

Provable Sparse Inversion and Token Relabel Enhanced One-shot Federated Learning with ViTs cites this paper.

Provable Sparse Inversion and Token Relabel Enhanced One-shot Federated Learning with ViTs Parametric Feature Transfer: One-shot Federated Learning with Foundation Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:23.589154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9bd618cf-4cee-4d5e-a362-d22163d7ec0f · inbound

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning cites this paper.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Parametric Feature Transfer: One-shot Federated Learning with Foundation Models

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-10T08:47:02.074484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4c96c87e-8fa2-46e9-9a8a-78df8b31e24e · inbound

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning cites this paper.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Parametric Feature Transfer: One-shot Federated Learning with Foundation Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:58.206660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.