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Paper Citation Record · LEDGER

On uniform-in-time diffusion approximation for stochastic gradient descent

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2207.04922.

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

pith.paper-citation-record.v1
2207.04922 v1

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:20:56.747106Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T00:23:39.555032Z

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 c94e3d87-9e61-4974-bce9-c97895e4c0bc · inbound

What is the long-run distribution of stochastic gradient descent? A large deviations analysis cites this paper.

What is the long-run distribution of stochastic gradient descent? A large deviations analysis On uniform-in-time diffusion approximation for stochastic gradient descent

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-24T00:23:39.557980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T00:23:03.475425Z digest=sha256:e4d2c98becf0433f49bf2b11c65934c9475c7af89a911fc69564eb3fa247febf

Observation fbb6b0c5-7d8f-41e0-a2da-ba27f7a71589 · inbound

An Adjoint-Sensitivity Framework for Lost-in-the-Middle Phenomena in Causal Residual Transformers cites this paper.

An Adjoint-Sensitivity Framework for Lost-in-the-Middle Phenomena in Causal Residual Transformers On uniform-in-time diffusion approximation for stochastic gradient descent

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T17:20:56.747106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:20:56.747106Z digest=sha256:627c2c4e85272000e4f74a17553c5745db56fa3d7e2f1d3b8f72530e0c744b00