Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Training Diffusion Models with Federated Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.12575.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:11:23.010440Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T00:07:28.676338Z
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 36e08c25-421f-41f0-8184-836ab0f97966 · inbound
CollaFuse: Collaborative Diffusion Models cites this paper.
CollaFuse: Collaborative Diffusion Models Training Diffusion Models with Federated Learning
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T23:35:52.228259Z
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 6d7f10f1-3200-488e-aec8-cf4e60aa6001 · inbound
FedPhD: Federated Pruning with Hierarchical Learning of Diffusion Models cites this paper.
FedPhD: Federated Pruning with Hierarchical Learning of Diffusion Models Training Diffusion Models with Federated Learning
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:11:23.010440Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f2e12c0-ac8a-4863-be23-5d4127dd6dd9 · inbound
On the Tradeoffs of On-Device Generative Models in Federated Predictive Maintenance Systems cites this paper.
On the Tradeoffs of On-Device Generative Models in Federated Predictive Maintenance Systems Training Diffusion Models with Federated Learning
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:55:57.297875Z
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 294de733-a76e-4093-b6f0-054cdd9a10da · inbound
UMEDA: Unified Multi-modal Efficient Data Fusion for Privacy-Preserving Graph Federated Learning via Spectral-Gated Attention and Diffusion-Based Operator Alignment cites this paper.
UMEDA: Unified Multi-modal Efficient Data Fusion for Privacy-Preserving Graph Federated Learning via Spectral-Gated Attention and Diffusion-Based Operator Alignment Training Diffusion Models with Federated Learning
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:51:18.054520Z
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 51ce638f-24da-425a-8f5e-f730a6aa5aa6 · inbound
Compositional Generative Modeling from Decentralized Data cites this paper.
Compositional Generative Modeling from Decentralized Data Training Diffusion Models with Federated Learning
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T00:07:28.677990Z
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.