Paper Citation Record · LEDGER

On the Variance of Neural Network Training with respect to Test Sets and Distributions

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2304.01910.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2304.01910 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:01:31.449155Z

measured 0 of 1 external citation measurements

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 97786f64-21f6-430c-a47f-a5f1a8770736 · inbound

BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices cites this paper.

BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices On the Variance of Neural Network Training with respect to Test Sets and Distributions

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T17:01:31.449155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.