Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Dataset Distillation via the Wasserstein Metric
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2311.18531.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T20:38:25.897770Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T06:39:36.998873Z
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 aea5dbb4-7a0d-4f15-8c3c-d3cd0c739247 · inbound
Trust-Aware Diversion for Data-Effective Distillation cites this paper.
Trust-Aware Diversion for Data-Effective Distillation Dataset Distillation via the Wasserstein Metric
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T20:38:25.897770Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac96e9f9-6e94-431e-9aa8-262b8d3547fc · inbound
The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions cites this paper.
The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions Dataset Distillation via the Wasserstein Metric
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:29:50.273079Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 158634ce-4b73-4f9c-b6ce-ccdb31d334f0 · inbound
Improving Noise Efficiency in Privacy-preserving Dataset Distillation cites this paper.
Improving Noise Efficiency in Privacy-preserving Dataset Distillation Dataset Distillation via the Wasserstein Metric
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:32:45.374982Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65927d45-4d30-4227-9d16-e306d6f0c9d0 · inbound
A Discrepancy-Based Perspective on Dataset Condensation cites this paper.
A Discrepancy-Based Perspective on Dataset Condensation Dataset Distillation via the Wasserstein Metric
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:57:54.799494Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5d8d50a-c524-4738-bdd1-1b6cc63e7380 · inbound
Wasserstein Gradient Flows for Scalable and Regularized Barycenter Computation cites this paper.
Wasserstein Gradient Flows for Scalable and Regularized Barycenter Computation Dataset Distillation via the Wasserstein Metric
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:29:21.212959Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 020b78ee-ccc6-4dbe-abb4-768fcd78c0c3 · inbound
DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models cites this paper.
DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models Dataset Distillation via the Wasserstein Metric
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:16:29.039399Z
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.
Observation 24c9b46c-9d4f-4a52-8e02-d57749d10064 · inbound
Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time Adaptation cites this paper.
Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time Adaptation Dataset Distillation via the Wasserstein Metric
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T03:29:29.761931Z
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.
Observation f49863b8-e8e4-4103-a15d-2f91b488b2ad · inbound
Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time Adaptation cites this paper.
Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time Adaptation Dataset Distillation via the Wasserstein Metric
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T08:45:35.518805Z
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.
Observation fda7fcf6-8be9-4ebc-be35-da367a07419c · inbound
Structural Assessment for Understanding and Guiding Dataset Distillation in Discrete Token Space cites this paper.
Structural Assessment for Understanding and Guiding Dataset Distillation in Discrete Token Space Dataset Distillation via the Wasserstein Metric
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T06:39:37.000220Z
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.
Observation 551d76a2-f819-4190-84ad-605098088a1d · inbound
Condensing Large-Scale Datasets Directly with Minimal Information Loss cites this paper.
Condensing Large-Scale Datasets Directly with Minimal Information Loss Dataset Distillation via the Wasserstein Metric
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T14:07:02.395368Z
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.