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Paper Citation Record · LEDGER

Self-supervised Dataset Distillation: A Good Compression Is All You Need

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.07976.

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

pith.paper-citation-record.v1
2404.07976 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:29:50.510543Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T05:46:10.178457Z

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 8af96566-20cb-4fc2-ae67-3dbdc44e3145 · inbound

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

The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions Self-supervised Dataset Distillation: A Good Compression Is All You Need

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-08T18:29:50.510543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:29:50.510543Z digest=sha256:3a0537f89b771c3a62a7663dc057fbf8199703f70ad0d36f3219ef9d40642bda

Observation afd88543-7ac4-4ebf-92e2-0f15a3da4c44 · inbound

Soft Label Pruning and Quantization for Large-Scale Dataset Distillation cites this paper.

Soft Label Pruning and Quantization for Large-Scale Dataset Distillation Self-supervised Dataset Distillation: A Good Compression Is All You Need

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:46:10.179901Z

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=2026-05-10T05:44:25.808155Z digest=sha256:3dc4d96259d763ebedce0a6536c8ec27b1fc3d82c221e45cf3101554e6cb708c