Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Distributional Dataset Distillation with Subtask Decomposition
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.00999.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T05:44:25.088832Z
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 8bf5cfd8-65d0-4e11-a383-6b2f3e834d2f · inbound
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation cites this paper.
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation Distributional Dataset Distillation with Subtask Decomposition
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:44:25.088832Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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.
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 2026-08-14T06:32:32.682623+00:00.