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Paper Citation Record · LEDGER

One Category One Prompt: Dataset Distillation using Diffusion Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.07142.

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

pith.paper-citation-record.v1
2403.07142 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:29:50.383855Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:26:56.825568Z

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 65df10e8-31f0-49b3-923a-d82b0bdbe038 · inbound

The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions cites this paper.

The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions One Category One Prompt: Dataset Distillation using Diffusion Models

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-08T18:29:50.383855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:29:50.383855Z digest=sha256:7cbe1bf176b89202717c891b4c1830dc474bc89de86526bd6ae16c8028a18b10

Observation 2448a042-9c97-4be3-9031-46ad203a1d78 · inbound

Geometry-Aware Dataset Condensation for Diffusion Model Training cites this paper.

Geometry-Aware Dataset Condensation for Diffusion Model Training One Category One Prompt: Dataset Distillation using Diffusion Models

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:26:56.827025Z

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=2026-06-28T02:07:54.718436Z digest=sha256:6350e8c0f0c0f1bd07b2787ff8e89e904c793de7d8e20977675a1c2da3deb61e