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Paper Citation Record · LEDGER

An accelerated first-order method for non-convex optimization on manifolds

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2008.02252.

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

pith.paper-citation-record.v1
2008.02252 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:58:49.701392Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:27:56.565231Z

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 579ba0a1-b41c-4424-a90f-8271bd7a8808 · inbound

A data-based notion of quantiles on Hadamard spaces cites this paper.

A data-based notion of quantiles on Hadamard spaces An accelerated first-order method for non-convex optimization on manifolds

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T00:58:49.701392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:58:49.701392Z digest=sha256:cb150ac442e21a20a5fa922f5b407603ad98ed780e8a2f1ea1616ad8433b8f3b

Observation c42da6ef-b41a-42f8-ad86-a8998a5a6aa6 · inbound

The Intrinsic Riemannian Proximal Gradient Method for Convex Optimization cites this paper.

The Intrinsic Riemannian Proximal Gradient Method for Convex Optimization An accelerated first-order method for non-convex optimization on manifolds

Reference 319

Resolution
malformed identifier
local_arxiv, observed 2026-08-06T15:27:56.567486Z

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=2026-08-06T15:27:56.509075Z digest=sha256:91b17f33e8106e9fb7e7f9035554662b2bc76a44b88342306df1a8568327dfb5