Paper Citation Record · LEDGER

Distilled One-Shot Federated Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2009.07999.

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

pith.paper-citation-record.v1
2009.07999 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:12:51.350652Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T23:48:39.379692Z

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 f1d7b47e-bb4c-454f-b6c8-2116385f5318 · inbound

Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions cites this paper.

Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions Distilled One-Shot Federated Learning

Reference 191

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:48:39.383206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 825e0bb8-b176-4756-a16f-fcbe35322f2a · inbound

Personalized One-shot Federated Graph Learning for Heterogeneous Clients cites this paper.

Personalized One-shot Federated Graph Learning for Heterogeneous Clients Distilled One-Shot Federated Learning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T18:47:53.414421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf4f6bd0-acc7-4629-9098-317d5423a8b6 · inbound

Tackling Data Heterogeneity in Federated Time Series Forecasting cites this paper.

Tackling Data Heterogeneity in Federated Time Series Forecasting Distilled One-Shot Federated Learning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T14:03:12.802863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a96a46b4-3690-42d4-b949-0f553d333e03 · inbound

Task Arithmetic Through The Lens Of One-Shot Federated Learning cites this paper.

Task Arithmetic Through The Lens Of One-Shot Federated Learning Distilled One-Shot Federated Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T11:09:11.690822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e20657a-a737-4a2d-b638-1e2e57f72cc6 · inbound

One-shot Federated Learning via Synthetic Distiller-Distillate Communication cites this paper.

One-shot Federated Learning via Synthetic Distiller-Distillate Communication Distilled One-Shot Federated Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T20:56:33.748577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbf1fd4e-9a1a-4a3a-8706-e758d4391c26 · inbound

On Learning Representations for Tabular Data Distillation cites this paper.

On Learning Representations for Tabular Data Distillation Distilled One-Shot Federated Learning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T15:32:14.160087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f70e436e-3aec-445a-aef6-858ffe04a13b · inbound

The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions cites this paper.

The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions Distilled One-Shot Federated Learning

Reference 139

Resolution: unresolved; no resolver link, observed 2026-08-08T18:29:50.711851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae2bf4ed-24cd-4fcb-8c5d-2708b2f04ca2 · inbound

FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices cites this paper.

FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices Distilled One-Shot Federated Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T04:53:58.945082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bf1aef0-799e-431e-be9d-9de42e25985d · inbound

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

One-shot Federated Learning Methods: A Practical Guide Distilled One-Shot Federated Learning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T22:38:37.091481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e81c3898-3cb9-489c-b3c5-21304fc47596 · inbound

Regularizing Differentiable Architecture Search with Smooth Activation cites this paper.

Regularizing Differentiable Architecture Search with Smooth Activation Distilled One-Shot Federated Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T11:12:51.350652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1521c53d-a7c0-48aa-99b6-5cfb6c1f123e · inbound

Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks cites this paper.

Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks Distilled One-Shot Federated Learning

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-16T10:44:46.429615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23cd7e31-6235-4b03-8514-1b94930da17e · inbound

Federated Gaussian Mixture Models cites this paper.

Federated Gaussian Mixture Models Distilled One-Shot Federated Learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:23.559912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 512b1d02-7b77-4854-a8a3-5b0b5c7cce4f · inbound

Efficient Federated Learning with Timely Update Dissemination cites this paper.

Efficient Federated Learning with Timely Update Dissemination Distilled One-Shot Federated Learning

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T19:20:31.519097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d65f1b28-3cb8-44fd-9720-9a43653af6bf · inbound

A New One-Shot Federated Learning Framework for Medical Imaging Classification with Feature-Guided Rectified Flow and Knowledge Distillation cites this paper.

A New One-Shot Federated Learning Framework for Medical Imaging Classification with Feature-Guided Rectified Flow and Knowledge Distillation Distilled One-Shot Federated Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T18:08:06.915471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38e0ef81-965e-4935-8f24-16e3383d7d56 · inbound

FedBiCross: Personalized One-Shot Federated Learning on Medical Images cites this paper.

FedBiCross: Personalized One-Shot Federated Learning on Medical Images Distilled One-Shot Federated Learning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-21T16:50:23.815722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5b627439-113a-4ce0-8342-2865f760f953 · inbound

FedBiCross: Personalized One-Shot Federated Learning on Medical Images cites this paper.

FedBiCross: Personalized One-Shot Federated Learning on Medical Images Distilled One-Shot Federated Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T12:44:22.482069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c6e414a-78fa-4311-8848-e7c584164688 · inbound

Dataset Distillation Efficiently Encodes Low-Dimensional Representations from Gradient-Based Learning of Non-Linear Tasks cites this paper.

Dataset Distillation Efficiently Encodes Low-Dimensional Representations from Gradient-Based Learning of Non-Linear Tasks Distilled One-Shot Federated Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T20:55:11.027028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f26630b3-f9cb-411a-b1e9-185718dae375 · inbound

Federated Distillation for Whole Slide Image via Gaussian-Mixture Feature Alignment and Curriculum Integration cites this paper.

Federated Distillation for Whole Slide Image via Gaussian-Mixture Feature Alignment and Curriculum Integration Distilled One-Shot Federated Learning

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:47:01.542352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c2006646-4fa6-449e-a34f-d643caa3ff0d · 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 Distilled One-Shot Federated Learning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:23.614846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 95226423-3818-4824-aa17-c3c604ac2b61 · 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 Distilled One-Shot Federated Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:58.071592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.