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Paper Citation Record · LEDGER

Loss Spike in Training Neural Networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.12133.

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

pith.paper-citation-record.v1
2305.12133 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:34:18.089289Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:20:25.076600Z

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 86c574c8-a6ba-4c3d-9014-722472737064 · inbound

SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization cites this paper.

SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization Loss Spike in Training Neural Networks

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T17:34:18.089289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:34:18.089289Z digest=sha256:d971228c7868e916c7238306804a9b076f519b0ff2f779a0b933e271e2f9d38e

Observation f822a794-272e-45e8-9b20-e0794a811df3 · inbound

An Analysis for Reasoning Bias of Language Models with Small Initialization cites this paper.

An Analysis for Reasoning Bias of Language Models with Small Initialization Loss Spike in Training Neural Networks

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-09T05:28:51.863442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:28:51.863442Z digest=sha256:d0507a1b570e45b2b8ac029599d70035773c59993b4af6a85a9015d8f93ceba8

Observation 3f4fd1f6-9a96-4f81-8ef5-72a172a9a297 · inbound

Scalable Complexity Control Facilitates Reasoning Ability of LLMs cites this paper.

Scalable Complexity Control Facilitates Reasoning Ability of LLMs Loss Spike in Training Neural Networks

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-07T13:01:16.145489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:01:16.145489Z digest=sha256:fb68663c8b8f70fbd0772e109cf13700f4e13784652d144bdf2f2a7c28d11f75

Observation ee2e7d3e-cdc5-4a94-90b3-ffc1a0050369 · inbound

SoftSignSGD(S3): An Enhanced Optimizer for Practical DNN Training and Loss Spikes Minimization Beyond Adam cites this paper.

SoftSignSGD(S3): An Enhanced Optimizer for Practical DNN Training and Loss Spikes Minimization Beyond Adam Loss Spike in Training Neural Networks

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T19:10:16.598782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:10:16.598782Z digest=sha256:b8a68d3fae8f1d4682b59e10e4659be5b868e205e016c8628c3d5e7cd44666ac

Observation 94de0006-f7a4-48b3-818c-ab0add2e337d · inbound

Non-normal spectral signatures of instability in neural network training dynamics cites this paper.

Non-normal spectral signatures of instability in neural network training dynamics Loss Spike in Training Neural Networks

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:20:25.079717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-25T05:17:37.467255Z digest=sha256:6c2f28cbcd06d82dd27db533d3eac2ed0a6dfed7de9550412694d5bfc717555a