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Paper Citation Record · LEDGER

Accelerating Sinkhorn Algorithm with Sparse Newton Iterations

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.12253.

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

pith.paper-citation-record.v1
2401.12253 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:04:35.119249Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T21:23:38.963124Z

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 d44bc048-a9fd-44b5-b502-55d10ed1f3e4 · inbound

An efficient algorithm for entropic optimal transport under martingale-type constraints cites this paper.

An efficient algorithm for entropic optimal transport under martingale-type constraints Accelerating Sinkhorn Algorithm with Sparse Newton Iterations

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T17:04:35.119249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:04:35.119249Z digest=sha256:df00cabf70b626c405aebb1d39fe73cf60a7c622641594f54833d5d5192b2ba7

Observation aa5f4830-05c9-4ddd-a85c-1609a348df8a · inbound

APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction cites this paper.

APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction Accelerating Sinkhorn Algorithm with Sparse Newton Iterations

Reference 23

Resolution
metadata mismatch
local_arxiv, observed 2026-08-04T21:23:39.037755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-04T21:23:38.131648Z digest=sha256:5f8661eec68601da8277214415ef815ed817e3b69f107fdae896ec0fac497d90