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Paper Citation Record · LEDGER

On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.03526.

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

pith.paper-citation-record.v1
2312.03526 v2

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:49:26.055517Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T14:07:02.388666Z

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 56ac9cf1-f733-4972-9477-29d0dc0b86fe · inbound

Condensing Large-Scale Datasets Directly with Minimal Information Loss cites this paper.

Condensing Large-Scale Datasets Directly with Minimal Information Loss On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-02T14:07:02.389942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-02T13:59:59.488216Z digest=sha256:9b4633a127f0a829b067381e60b5a3cfa2b2f6d88f1dd143b4574deb3311ae76

Observation 441a0324-9876-49d6-ada0-cddeeddcd0bc · inbound

Dataset Distillation by Influence Matching cites this paper.

Dataset Distillation by Influence Matching On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-01T19:49:26.055517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:49:26.055517Z digest=sha256:ab17ea28e56797d67a45c1ff95eacdea65f845fef918d3146f4d12477228e15c