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Paper Citation Record · LEDGER

Distributionally Robust Optimization via Iterative Algorithms in Continuous Probability Spaces

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.20556.

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

pith.paper-citation-record.v1
2412.20556 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 2026-08-04T07:29:41.835736Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T21:55:51.945344Z

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 93ddbed5-5b3f-4e7e-a9c2-156beb47160f · inbound

Gradient Flow Sampler-based Distributionally Robust Optimization cites this paper.

Gradient Flow Sampler-based Distributionally Robust Optimization Distributionally Robust Optimization via Iterative Algorithms in Continuous Probability Spaces

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T07:29:41.835736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:29:41.835736Z digest=sha256:f67b6fa3f8e2faefd449ba979dbed342071d644e32c7b48a99647a03909e4b8e

Observation 44418499-cab8-476a-aefe-96834b6e9db2 · inbound

Generative models for decision-making under distributional shift cites this paper.

Generative models for decision-making under distributional shift Distributionally Robust Optimization via Iterative Algorithms in Continuous Probability Spaces

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-17T00:20:38.130183Z

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=2026-05-10T20:27:24.297535Z digest=sha256:51d478cfe97ac23a6ab2bf0707c1c7c767988e928d113c88dc77278a10c4af22