Paper Citation Record · LEDGER

Private Training & Data Generation by Clustering Embeddings

As of 19 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2506.16661.

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

pith.paper-citation-record.v1
2506.16661 v1

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:27:53.745453Z

measured 8 of 8 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 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

8 of 8 outbound references displayed

verified exact0
verified fuzzy2
unresolved4
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d08654af-31e7-46f5-896b-cee63b7e333c · outbound

This paper cites Clustering and Median Aggregation Improve Differentially Private Inference.

Private Training & Data Generation by Clustering Embeddings Clustering and Median Aggregation Improve Differentially Private Inference

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T19:27:53.717070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cb2d4f1-4953-4e69-9dc4-3c222b13577d · outbound

This paper cites Learning Face Representation from Scratch.

Private Training & Data Generation by Clustering Embeddings Learning Face Representation from Scratch

Reference 8

Resolution: malformed identifier; no resolver link, observed 2026-08-15T19:27:53.745453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02e63e8c-9e08-45bb-be33-666801c901ac · outbound

This paper cites Scalable Differentially Private Clustering via Hierarchically Separated Trees.

Private Training & Data Generation by Clustering Embeddings Scalable Differentially Private Clustering via Hierarchically Separated Trees

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T19:27:53.721753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7750ee89-46d6-43e1-a129-c2cc8add19a1 · outbound

This paper cites Unsupervised Deep Embedding for Clustering Analysis.

Private Training & Data Generation by Clustering Embeddings Unsupervised Deep Embedding for Clustering Analysis

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:54.021798Z

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 8bef36e3-93f7-4155-8bc2-01799387f42b · outbound

This paper cites Differentially Private Diffusion Models Generate Useful Synthetic Images.

Private Training & Data Generation by Clustering Embeddings Differentially Private Diffusion Models Generate Useful Synthetic Images

Reference 2000

Resolution: unresolved; no resolver link, observed 2026-08-15T19:27:53.726119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d45edfc-18a9-42cd-9ff6-c20266c4798e · outbound

This paper cites Harnessing large-language models to generate private synthetic text.

Private Training & Data Generation by Clustering Embeddings Harnessing large-language models to generate private synthetic text

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-15T19:27:53.733618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fac54ed-b504-4479-9478-b58f1bb0640d · outbound

This paper cites Pre-trained Perceptual Features Improve Differentially Private Image Generation.

Private Training & Data Generation by Clustering Embeddings Pre-trained Perceptual Features Improve Differentially Private Image Generation

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:27:54.034105Z

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 ce711b51-63ec-481a-bd91-839f063e8d4b · outbound

This paper cites Differentially Private Synthetic Data: Applied Evaluations and Enhancements.

Private Training & Data Generation by Clustering Embeddings Differentially Private Synthetic Data: Applied Evaluations and Enhancements

Reference 2019

Resolution: malformed identifier; no resolver link, observed 2026-08-15T19:27:53.737716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.