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Paper Citation Record · LEDGER

Conditional Sampling with Monotone GANs: from Generative Models to Likelihood-Free Inference

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.06755.

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

pith.paper-citation-record.v1
2006.06755 v3

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:56:45.350703Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 2a313dec-0411-4d2d-9bc6-52e75bf1a709 · inbound

Generative multi-scale modeling and downscaling via spatial autoregressive transport maps cites this paper.

Generative multi-scale modeling and downscaling via spatial autoregressive transport maps Conditional Sampling with Monotone GANs: from Generative Models to Likelihood-Free Inference

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T14:56:45.350703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:56:45.350703Z digest=sha256:572e157451e7766eab6aa7f35b73ac50e0e1b351082247e1f1e18278c3c8e5a5

Observation c09cc563-52d9-4988-92ee-3288a9fe00b8 · inbound

Learning sufficient low-dimensional structures through conditional optimal transport cites this paper.

Learning sufficient low-dimensional structures through conditional optimal transport Conditional Sampling with Monotone GANs: from Generative Models to Likelihood-Free Inference

Reference 2005

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:02.533194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:02.533194Z digest=sha256:6aacde26b2362495597b0ac8275bab41905693d81664b2d4c5329f05a4fe473a