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Paper Citation Record · LEDGER

Towards Consistent and Efficient Dataset Distillation via Diffusion-Driven Selection

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.09959.

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

pith.paper-citation-record.v1
2412.09959 v5

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:29:50.544050Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:52:46.949812Z

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 97752e67-b1cc-43bd-9fb8-f76c33b9a5ee · inbound

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

The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions Towards Consistent and Efficient Dataset Distillation via Diffusion-Driven Selection

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-08T18:29:50.544050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:29:50.544050Z digest=sha256:dd0e708fad226c59c742c74ef798148725db4187937b34757c33b05e86b32758

Observation 117f76b4-0e4d-4fb9-b070-65896507c81f · inbound

Temporal Saliency-Guided Distillation: A Scalable Framework for Distilling Video Datasets cites this paper.

Temporal Saliency-Guided Distillation: A Scalable Framework for Distilling Video Datasets Towards Consistent and Efficient Dataset Distillation via Diffusion-Driven Selection

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:52:47.023775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:52:46.827059Z digest=sha256:c7ec2bd961364cc698162448c4ad9ee9412c3edc1447686b99359a69775bfd86