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Paper Citation Record · LEDGER

Private Synthetic Text Generation with Diffusion Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.22971.

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

pith.paper-citation-record.v1
2410.22971 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:03:13.046521Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T10:54:07.890776Z

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 774d6530-d792-4f04-b7a8-5f8317348ba1 · inbound

Differentially-private text generation degrades output language quality cites this paper.

Differentially-private text generation degrades output language quality Private Synthetic Text Generation with Diffusion Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T17:03:13.046521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:03:13.046521Z digest=sha256:dd0f9ba31d7be157e5b82b82d311e8e941edf1417fa27c13d39d6a20c9d0a9cd

Observation 9f6d3412-8ad2-4ed0-bb20-516067431f0c · inbound

Diffusion Models Memorize in Training -- and Generalize in Inference cites this paper.

Diffusion Models Memorize in Training -- and Generalize in Inference Private Synthetic Text Generation with Diffusion Models

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-21T10:54:07.892093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T10:52:31.849094Z digest=sha256:76bcd2f9643d1a5408ff2fb98f16893385a5a6fb550de79ac4b9fc43623d2000