Pith. sign in

Paper Citation Record · LEDGER

FocusDD: Real-World Scene Infusion for Robust Dataset Distillation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.06405.

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

pith.paper-citation-record.v1
2501.06405 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 2026-08-08T18:29:50.535945Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:26:56.850828Z

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 42f8ee11-71fd-4f92-927e-ad4fc22a3d6e · inbound

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

The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions FocusDD: Real-World Scene Infusion for Robust Dataset Distillation

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-08T18:29:50.535945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:29:50.535945Z digest=sha256:e970305eb5afa1675f460fe7d67c255759195b606a20a2a5229c5b3a16414739

Observation 95604b93-d360-495c-949c-62c4c69b34d6 · inbound

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

Geometry-Aware Dataset Condensation for Diffusion Model Training FocusDD: Real-World Scene Infusion for Robust Dataset Distillation

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:26:56.852183Z

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=sha256:729963dbdad1f5179f96836297445bb0aed04f6ddc0b78e223524392e11e75e6