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Paper Citation Record · LEDGER

A parametric approach to the estimation of convex risk functionals based on Wasserstein distance

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2210.14340.

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

pith.paper-citation-record.v1
2210.14340 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:29:23.857040Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T03:23:49.684245Z

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 1f394a1a-4ef3-4c75-87b3-785a1f3e2b63 · inbound

Robust SGLD algorithm for solving non-convex distributionally robust optimisation problems cites this paper.

Robust SGLD algorithm for solving non-convex distributionally robust optimisation problems A parametric approach to the estimation of convex risk functionals based on Wasserstein distance

Reference 95

Resolution
metadata mismatch
arxiv_id, observed 2026-05-24T02:43:47.670443Z

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=2026-05-24T02:38:47.015471Z digest=sha256:899a6f5543cca57eaeb33ef6c3e2fb10650d91a4b9cce55bd5bce6dbd69a152e

Observation 71f2129f-a591-457f-9943-faa516ec09d1 · inbound

Numerical method for nonlinear Kolmogorov PDEs via sensitivity analysis cites this paper.

Numerical method for nonlinear Kolmogorov PDEs via sensitivity analysis A parametric approach to the estimation of convex risk functionals based on Wasserstein distance

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-24T03:23:49.687063Z

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=2026-05-24T03:22:30.717554Z digest=sha256:a5d86324c1fd21f101565cb80e3f9d8f9e92acf00ceca3cc77149f4efbe47b3c

Observation ef3a7290-3434-4486-abf4-43e05b28cb8c · inbound

Scaling limits of multi-period distributionally robust optimization problems cites this paper.

Scaling limits of multi-period distributionally robust optimization problems A parametric approach to the estimation of convex risk functionals based on Wasserstein distance

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-03T20:29:23.857040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:29:23.857040Z digest=sha256:4c2c540a9367d27fad122c4e457eda90ec579da074de315f5abb4b0aadaa346b