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Paper Citation Record · LEDGER

Distributional Dataset Distillation with Subtask Decomposition

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.00999.

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

pith.paper-citation-record.v1
2403.00999 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 2026-08-08T18:29:50.400649Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T15:32:04.961384Z

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 ae119b82-0f24-481d-8234-7548c8fdb4fc · inbound

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

The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions Distributional Dataset Distillation with Subtask Decomposition

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-08T18:29:50.400649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:29:50.400649Z digest=sha256:bb1a4cf7bc5056806b774bc312988e38cb5187825befc3a1d7cd916b53458fc8

Observation cbed5ba3-54f1-428d-8d09-f54058a16702 · inbound

Unifying Dataset Pruning and Distillation for Efficient Large-scale Compression cites this paper.

Unifying Dataset Pruning and Distillation for Efficient Large-scale Compression Distributional Dataset Distillation with Subtask Decomposition

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-08T15:32:04.965650Z

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=2026-08-08T15:32:04.747749Z digest=sha256:9a4253a73f7162d5ddfd1f5dee6539dc307e050da486431ebaaf0be938e97307