Paper Citation Record · LEDGER

DP-LDMs: Differentially Private Latent Diffusion Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2305.15759.

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

pith.paper-citation-record.v1
2305.15759 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:45:38.269813Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T13:38:19.389012Z

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 476cd678-56e2-4d63-a425-f8da55d08472 · inbound

LoyalDiffusion: A Diffusion Model Guarding Against Data Replication cites this paper.

LoyalDiffusion: A Diffusion Model Guarding Against Data Replication DP-LDMs: Differentially Private Latent Diffusion Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T04:45:38.269813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb6f1dc6-1f5b-415a-9ce1-f40354fdeadc · inbound

Expert Routing with Synthetic Data for Continual Learning cites this paper.

Expert Routing with Synthetic Data for Continual Learning DP-LDMs: Differentially Private Latent Diffusion Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T05:57:31.190933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1b2cf05-69c3-4cc1-aee1-c23a2fad6ae0 · inbound

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation cites this paper.

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation DP-LDMs: Differentially Private Latent Diffusion Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:17.051778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7511a60-a1d4-4199-9544-10389ab7519e · inbound

Implementing Adaptations for Vision AutoRegressive Model cites this paper.

Implementing Adaptations for Vision AutoRegressive Model DP-LDMs: Differentially Private Latent Diffusion Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:12:33.883885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6786ad85-9478-42d6-8dc8-a75a6faef115 · inbound

How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy cites this paper.

How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy DP-LDMs: Differentially Private Latent Diffusion Models

Reference 147

Resolution: unresolved; no resolver link, observed 2026-08-03T18:52:59.338788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fce0298e-92fa-422e-8036-6d253a2e9a59 · inbound

DP-SelFT: Differentially Private Selective Fine-Tuning for Large Language Models cites this paper.

DP-SelFT: Differentially Private Selective Fine-Tuning for Large Language Models DP-LDMs: Differentially Private Latent Diffusion Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:38:19.390439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 166156b2-a7bf-4976-a27d-f129e00a2840 · inbound

Scalable Differentially Private Data Compression via Diffusion and Stochastic Codes cites this paper.

Scalable Differentially Private Data Compression via Diffusion and Stochastic Codes DP-LDMs: Differentially Private Latent Diffusion Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T02:50:28.619370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.