Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.06905.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:53:07.138400Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 58958b4e-c1ec-47d5-9215-fbeeec23e81b · inbound
Extending Dataset Pruning to Object Detection: A Variance-based Approach cites this paper.
Extending Dataset Pruning to Object Detection: A Variance-based Approach Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:53:07.138400Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81cccf8e-54b2-4c00-8a7e-ee6f9d0e58aa · inbound
Model Parallelism With Subnetwork Data Parallelism cites this paper.
Model Parallelism With Subnetwork Data Parallelism Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:19:59.327333Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d798a7fd-1861-44c6-9365-0017a2752ceb · inbound
GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization cites this paper.
GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T20:30:49.080101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.