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Paper Citation Record · LEDGER

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

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:09:38.003674Z

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T02:38:47.015471Z digest=sha256:354d6a4c2c3710545e300dd5726751fa8efb35c571fd88eff9afd268247a3bf6

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T03:22:30.717554Z digest=sha256:4faa30b5303fcc5e3a21941d9f54ae25d3493299bb6893131aefc672e908f242

Observation aa8b04bf-e041-4bf3-ae55-33c3a1a02a78 · inbound

Sensitivity of functionals of McKean-Vlasov SDE's with respect to the initial distribution cites this paper.

Sensitivity of functionals of McKean-Vlasov SDE's with respect to the initial distribution A parametric approach to the estimation of convex risk functionals based on Wasserstein distance

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T11:09:38.003674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:09:38.003674Z digest=sha256:a90e588561b7e80d8a5bae55221eac8f053aa48abdc0c07f9ac474113ad6ab5e

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:f16a4c63abce18933c0f033fac2befed90c8085f745ae43939ebf2d1abc22209