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Paper Citation Record · LEDGER

Information Newton's flow: second-order optimization method in probability space

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2001.04341.

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

pith.paper-citation-record.v1
2001.04341 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:08:04.621208Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T07:59:09.381186Z

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 21292b78-3483-4287-ac50-fd710cab1c00 · inbound

Accelerated Information Gradient flow cites this paper.

Accelerated Information Gradient flow Information Newton's flow: second-order optimization method in probability space

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-14T05:08:04.621208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:08:04.621208Z digest=sha256:fa8f9ae7e96c9de4ddf8a4f98877becf32bca9d590034281565b16a0ca45c571

Observation fb7926b0-5b1b-45b3-8934-fc510c6439e7 · inbound

Wasserstein Mirror Gradient Flow as the limit of the Sinkhorn Algorithm cites this paper.

Wasserstein Mirror Gradient Flow as the limit of the Sinkhorn Algorithm Information Newton's flow: second-order optimization method in probability space

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-24T07:59:09.385441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-24T07:56:55.918679Z digest=sha256:a3dd7c100a26487986b21cb9da279b75cfe490a3d089ecadbd88b3a0776834ca

Observation 6789308d-cc93-4197-bf6b-a496c2dda913 · inbound

Subspace Langevin Monte Carlo cites this paper.

Subspace Langevin Monte Carlo Information Newton's flow: second-order optimization method in probability space

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-11T12:47:48.201636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:47:48.201636Z digest=sha256:479d19e5a40af5d521d21fbf471508c8f9d06bab5c08831ee379e8f041aadc5a

Observation f30578fa-b8cf-4bf3-8908-a583f2b96384 · inbound

Distributionally Robust Optimization via Iterative Algorithms in Continuous Probability Spaces cites this paper.

Distributionally Robust Optimization via Iterative Algorithms in Continuous Probability Spaces Information Newton's flow: second-order optimization method in probability space

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T23:26:24.800656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:26:24.800656Z digest=sha256:66adab81181110a91bd6bdf37e9ac259624e2a541227207159b786c9733efc9b

Observation 3d0aa7e9-fe23-4e4b-9334-31eaf1f1aa49 · inbound

From Saddle Points Toward Global Minima: A Newton-Type Method on Wasserstein Space cites this paper.

From Saddle Points Toward Global Minima: A Newton-Type Method on Wasserstein Space Information Newton's flow: second-order optimization method in probability space

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-20T09:53:15.898417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T09:51:19.291136Z digest=sha256:592956405863438f17df1c3d499eaaa0a20983ec0d28536b4829ce68b36e619b