Paper Citation Record · LEDGER

On the Reproducibility of Neural Network Predictions

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2102.03349.

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

pith.paper-citation-record.v1
2102.03349 v1

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 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:03:34.855160Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T14:05:45.799657Z

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 64c75017-9c77-4c06-84c6-f1ba23a3a40a · inbound

Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits cites this paper.

Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits On the Reproducibility of Neural Network Predictions

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-12T11:03:34.855160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70efe2ea-e6b3-48b6-a105-27ed0ea3e817 · inbound

Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents cites this paper.

Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents On the Reproducibility of Neural Network Predictions

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T02:21:16.142385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f0a34b08-dcb6-4e1f-b012-d7d9b76e808f · inbound

Reducing cross-sample prediction churn in scientific machine learning cites this paper.

Reducing cross-sample prediction churn in scientific machine learning On the Reproducibility of Neural Network Predictions

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:17:50.852311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 87f5815c-6954-4257-853a-3cd818c160bc · inbound

From Accuracy to Auditability: A Survey of Determinism in Financial AI Systems cites this paper.

From Accuracy to Auditability: A Survey of Determinism in Financial AI Systems On the Reproducibility of Neural Network Predictions

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:05:45.801108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.