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Paper Citation Record · LEDGER

Bounds on the running maximum of a random walk with small drift

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.08767.

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

pith.paper-citation-record.v1
2010.08767 v3

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:13:54.538871Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T00:10:47.559088Z

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 2f030a0f-a989-4609-a6b9-2f217fc085d2 · inbound

Computable Bounds for Strong Approximations with Applications cites this paper.

Computable Bounds for Strong Approximations with Applications Bounds on the running maximum of a random walk with small drift

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:10:47.561076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T00:05:53.938267Z digest=sha256:dcff5e4d5cfa8bc063d79aeeb0b0f2038e6b53f443e03d543820b28988837dbe

Observation d7b8d712-8d5d-4b77-a343-1f97ccf84e30 · inbound

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations cites this paper.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Bounds on the running maximum of a random walk with small drift

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T04:13:54.538871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:13:54.538871Z digest=sha256:04a7e612a8c99149451a73beb92c937a274bb8903add143b20d9212fdf5e5b70