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Paper Citation Record · LEDGER

Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.17087.

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

pith.paper-citation-record.v1
2310.17087 v2

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T08:53:46.285233Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:29:44.310723Z

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 760370c7-c22e-4d3b-a6eb-91ffca46d8d3 · inbound

SGD at the Edge of Stability: The Stochastic Sharpness Gap cites this paper.

SGD at the Edge of Stability: The Stochastic Sharpness Gap Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-10T00:59:49.384394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T00:59:39.800662Z digest=sha256:ade9a7d4b23b50107000186fbe667fbdbd3e25f8f193eef2852cafab4aa2fef4

Observation 31244b89-3869-44a4-9fb1-fa7d0deabddb · inbound

Convergence of Gradient Descent for General Neural Network Architectures Beyond the NTK Regime cites this paper.

Convergence of Gradient Descent for General Neural Network Architectures Beyond the NTK Regime Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult

Reference 50

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:29:44.312429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T08:53:46.285233Z digest=sha256:95cd78462c1381942831ff36d12cf8f91f44601e7ee2b6912b82c6fbd832d79f