Paper Citation Record · LEDGER

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning

As of 15 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2501.02219.

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

pith.paper-citation-record.v1
2501.02219 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:18:47.029185Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy6
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b450274a-c2c7-4361-b4fb-70ca3706a181 · outbound

This paper cites Knowledge Distillation and Training Balance for Heterogeneous Decentralized Multi-Modal Learning Over Wireless Networks,.

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning Knowledge Distillation and Training Balance for Heterogeneous Decentralized Multi-Modal Learning Over Wireless Networks,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:18:47.501857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0132b7af-9da2-43e2-9c8b-d823f2ec52b7 · outbound

This paper cites Federated learning: Challenges, methods, and future directions,.

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning Federated learning: Challenges, methods, and future directions,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T22:18:46.846674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 151d7ba8-e088-4646-b916-6b04412fbc35 · outbound

This paper cites Convergence and accuracy trade-offs in federated learning and meta-learning,.

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning Convergence and accuracy trade-offs in federated learning and meta-learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:18:47.401266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 06659744-f4ac-4736-a48c-b1031be15219 · outbound

This paper cites SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling.

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T22:18:46.854062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90e36753-0b1f-4514-9616-6bda8b2a6414 · outbound

This paper cites Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning.

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T22:18:46.859621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a09f46a-016b-40a6-a8ee-afe53c232834 · outbound

This paper cites Combating data imbalances in federated semi-supervised learning with dual regulators,.

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning Combating data imbalances in federated semi-supervised learning with dual regulators,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:18:47.289459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e750fc42-b63a-404f-a282-28f6f3facb20 · outbound

This paper cites Federated learning with gan-based data synthesis for non-iid clients,.

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning Federated learning with gan-based data synthesis for non-iid clients,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T22:18:46.868262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e772e4fa-7c80-4c4c-bef0-8cd3e51c0f95 · outbound

This paper cites Data-free knowledge distillation for heterogeneous federated learning,.

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning Data-free knowledge distillation for heterogeneous federated learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:18:47.270172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9814d561-bfcd-4c4b-ab5a-aaecae613b14 · outbound

This paper cites CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications,.

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T22:18:46.902824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b3dca2e-3298-47c3-84f6-ffa01fbc6127 · outbound

This paper cites Federated learning on non-iid data silos: An experimental study,.

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning Federated learning on non-iid data silos: An experimental study,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:18:46.966866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da8fb200-4916-400d-97a9-bc3b2bd2a11a · outbound

This paper cites Exploring one-shot semi- supervised federated learning with pre-trained diffusion models,.

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning Exploring one-shot semi- supervised federated learning with pre-trained diffusion models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:18:47.258511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 74c8f107-f56f-4b58-935c-c55737dcccc9 · outbound

This paper cites Communication-efficient learning of deep networks from decentral- ized data,.

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning Communication-efficient learning of deep networks from decentral- ized data,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T22:18:47.009495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5885b42-1a38-4330-b38b-21faf9a4b759 · outbound

This paper cites Auto-Encoding Variational Bayes.

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning Auto-Encoding Variational Bayes

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T22:18:47.012945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc203907-dc0e-43fb-8e47-9fec27602886 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning High-resolution image synthesis with latent diffusion models,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T22:18:47.017027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 210ed2c8-e53e-4af7-9caf-c6cde98b1186 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning The unreasonable effectiveness of deep features as a perceptual metric,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T22:18:47.021319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce16ef2f-e4ca-48ef-883c-d7a7e25fc4c8 · outbound

This paper cites Autoencoding beyond pixels using a learned similarity metric,.

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning Autoencoding beyond pixels using a learned similarity metric,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:18:47.169341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 55a9dd9c-3c1d-478a-b993-8cb7e985dba2 · outbound

This paper cites Denoising diffusion probabilistic models,.

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning Denoising diffusion probabilistic models,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T22:18:47.029185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.