Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Not All Samples Are Created Equal: Deep Learning with Importance Sampling
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1803.00942.
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 2026-08-06T11:19:11.819606Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T19:31:10.029972Z
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 ec27d815-2d30-4d10-a474-5666d7e3ff17 · inbound
Submodular Batch Selection for Training Deep Neural Networks cites this paper.
Submodular Batch Selection for Training Deep Neural Networks Not All Samples Are Created Equal: Deep Learning with Importance Sampling
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T19:31:10.033675Z
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 655b73ae-c6c9-4314-8a1b-1a447a12c8bb · inbound
Tricks and Plug-ins for Gradient Boosting in Image Classification cites this paper.
Tricks and Plug-ins for Gradient Boosting in Image Classification Not All Samples Are Created Equal: Deep Learning with Importance Sampling
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:19:11.819606Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ae645a0-abfe-4280-8960-27b86c0bc1c2 · inbound
Disentangling Sampling from Training Budget in Class-Imbalanced CT Body Composition Segmentation cites this paper.
Disentangling Sampling from Training Budget in Class-Imbalanced CT Body Composition Segmentation Not All Samples Are Created Equal: Deep Learning with Importance Sampling
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T07:24:02.582975Z
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.