Paper Citation Record · LEDGER

A Loss Curvature Perspective on Training Instability in Deep Learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2110.04369.

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

pith.paper-citation-record.v1
2110.04369 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 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:32:51.546755Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:59:52.030379Z

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 4ac4761b-0aab-4904-abf2-3b62158766e0 · inbound

Torque-Aware Momentum cites this paper.

Torque-Aware Momentum A Loss Curvature Perspective on Training Instability in Deep Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T04:32:51.546755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3299cb5-a237-47ce-a2f4-dd24f5142834 · inbound

Learning from Limited and Imperfect Data cites this paper.

Learning from Limited and Imperfect Data A Loss Curvature Perspective on Training Instability in Deep Learning

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T13:09:57.185189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3373c31-9333-445c-982e-05503cf50e41 · inbound

Why Do We Need Warm-up? A Theoretical Perspective cites this paper.

Why Do We Need Warm-up? A Theoretical Perspective A Loss Curvature Perspective on Training Instability in Deep Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T12:38:55.058339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c75d0a5c-6bb6-4895-a9e2-7e63564ac2df · inbound

Evaluation-Strategy Gap in Fault Diagnosis of Deep Learning Programs cites this paper.

Evaluation-Strategy Gap in Fault Diagnosis of Deep Learning Programs A Loss Curvature Perspective on Training Instability in Deep Learning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:59:52.032131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.