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Paper Citation Record · LEDGER

The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1712.05577.

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

pith.paper-citation-record.v1
1712.05577 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:28:43.331614Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:16:30.548575Z

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 c57d56aa-9d5a-48c3-a7a6-97ec567534d4 · inbound

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification cites this paper.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:28:47.443603Z

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.

source=arxiv_source observed=2026-08-06T12:28:43.331614Z digest=sha256:757809273c06eefc865dff7bc1a586ace3d7ce54a50caa2c4458067e2ae99796

Observation e4fe301d-b180-4a83-9a50-b8b683673dae · inbound

Mean-Field Model for Two-Layer Neural Networks Trained with Consensus-Based Optimization cites this paper.

Mean-Field Model for Two-Layer Neural Networks Trained with Consensus-Based Optimization The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-03T20:04:44.778944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:04:44.778944Z digest=sha256:20caff9cf7c3279b75fc2ac9d88fc5e6c9d6cae9097613e69962d4623b328aa7