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Paper Citation Record · LEDGER

Differentially Private Diffusion Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2210.09929.

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

pith.paper-citation-record.v1
2210.09929 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:09:03.884887Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

21
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c5591587-d3e4-409d-befa-6bfc711f906d · inbound

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers cites this paper.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Differentially Private Diffusion Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.767374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:ad4b676315dbb47d756715c6ea6cdaf1ca1b5a7868ca912d80463432ba043dc5

Observation f97c9f3d-c8f5-4f30-9117-c893a9e049c1 · inbound

Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model cites this paper.

Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model Differentially Private Diffusion Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T19:09:03.884887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:09:03.884887Z digest=sha256:8a8d54a34e10cce10a7019ccce6bcd8cbf18ec7ad4a4c9525a5341df30735f96

Observation e6bd0b7c-a676-41e2-abc2-fcd46db01b55 · inbound

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models cites this paper.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Differentially Private Diffusion Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:57:47.630695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:57:47.630695Z digest=sha256:09d8eebca9d15c26b7294cc46443551908dc99fc6794a32035f783f5a47839b2

Observation 624238ec-8d6f-4c84-adf5-fec94b8d82f7 · 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 Differentially Private Diffusion Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T23:12:16.870115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:12:16.870115Z digest=sha256:73f39f3b75f7f3077c50ab9da4bfd77114bda92e64fa26efd63bca99991184f5

Observation 2d8060dd-9d17-47d2-957a-de1e3f6aac04 · inbound

Implementing Adaptations for Vision AutoRegressive Model cites this paper.

Implementing Adaptations for Vision AutoRegressive Model Differentially Private Diffusion Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T17:12:33.041165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:12:33.041165Z digest=sha256:a8b97e7dc6697f2ff597a37f8569a337a8fb6af0d65290dba61cca6163e285ef

Observation a58d24da-f09f-4b18-8032-569e6a98057e · inbound

Improving Noise Efficiency in Privacy-preserving Dataset Distillation cites this paper.

Improving Noise Efficiency in Privacy-preserving Dataset Distillation Differentially Private Diffusion Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T05:32:44.634089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:32:44.634089Z digest=sha256:d2c4da895dcf9696c8ba084faf3390cc90b5322532e2593e26e84665b7da0567

Observation b5b5e070-e447-4fe4-8701-6aac2b57ba1f · inbound

Privacy-Utility Trade-off in Data Publication: A Bilevel Optimization Framework with Curvature-Guided Perturbation cites this paper.

Privacy-Utility Trade-off in Data Publication: A Bilevel Optimization Framework with Curvature-Guided Perturbation Differentially Private Diffusion Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T11:59:40.371975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:59:40.371975Z digest=sha256:1c05f41b29a712c97e62ab6955732e77feac6082877272c2d07e8e2dabdad014

Observation 63791e78-5cf6-46c9-9dff-e111fff97c22 · inbound

Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD cites this paper.

Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD Differentially Private Diffusion Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-16T13:37:56.518509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T13:37:50.765735Z digest=sha256:10e9bf03260771c8c7cf2b1785652ebe0a89faaa5510ccf8475a244d2feb68fb

Observation 899e4730-fe83-4cbe-bd77-843af6be2804 · inbound

Generalization and Memorization in Rectified Flow cites this paper.

Generalization and Memorization in Rectified Flow Differentially Private Diffusion Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-15T12:03:26.994509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T12:03:26.994509Z digest=sha256:204b28a6055e6635e72b4636bf8e761ca3c097f6aaeb79e11d978cce7ada4a0d

Observation 5fdafc76-b5c5-4f7f-90ef-2e613380bc57 · inbound

IDDM: Identity-Decoupled Personalized Diffusion Models with a Tunable Privacy-Utility Trade-off cites this paper.

IDDM: Identity-Decoupled Personalized Diffusion Models with a Tunable Privacy-Utility Trade-off Differentially Private Diffusion Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-13T14:46:27.944344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:46:27.944344Z digest=sha256:6b8fed510652988178f961774f6c9e0c448f6ae77a8f9cc78a68aa5768cf4381

Observation 1eaeef31-4a67-4fcb-ac4b-32441975ebb1 · inbound

Filtering Memorization from Parameter-Space in Diffusion Models cites this paper.

Filtering Memorization from Parameter-Space in Diffusion Models Differentially Private Diffusion Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:16:30.698704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T03:29:57.144579Z digest=sha256:fd057e97abab15b0bc65b8409c7acbab5050b4a788a241dec5434aada20a7daa

Observation a3a54e23-e8b0-444c-9efa-11a49d441276 · inbound

Filtering Memorization from Parameter-Space in Diffusion Models cites this paper.

Filtering Memorization from Parameter-Space in Diffusion Models Differentially Private Diffusion Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-12T17:07:07.555720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T17:07:07.555720Z digest=sha256:6e67ef47fb184e0fac429e39c391dd64f9166f4011475a67cf0b4f1a0774e447

Observation d8863a68-4d57-496c-b107-991d5ecb9252 · inbound

PrivCode++: Latent-Conditioned Differentially Private Code Generation for Comprehensive Guarantees cites this paper.

PrivCode++: Latent-Conditioned Differentially Private Code Generation for Comprehensive Guarantees Differentially Private Diffusion Models

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-06-27T16:31:02.406119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T16:28:06.351376Z digest=sha256:61eb290ff60b329f292e5112677ec2bb6f1d7263c7483c04f5baea220b570a9b