Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the Variance of Neural Network Training with respect to Test Sets and Distributions
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2304.01910.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:28.891288Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T03:49:29.481193Z
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 fc2f357a-e89b-4c5a-a8b4-ac5fd886a532 · inbound
Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment cites this paper.
Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment On the Variance of Neural Network Training with respect to Test Sets and Distributions
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:42:28.891288Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0fa5c92-5bca-4885-8090-c697bab03e6c · inbound
On the Extreme Variance of Certified Local Robustness Across Model Seeds cites this paper.
On the Extreme Variance of Certified Local Robustness Across Model Seeds On the Variance of Neural Network Training with respect to Test Sets and Distributions
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T12:57:54.060738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5913ba8a-7893-41ec-bc8a-e6cf0512ebe8 · inbound
The FID Lottery: Quantifying Hidden Randomness in Generative-Model Evaluation cites this paper.
The FID Lottery: Quantifying Hidden Randomness in Generative-Model Evaluation On the Variance of Neural Network Training with respect to Test Sets and Distributions
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T03:49:29.483325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.