Paper Citation Record · LEDGER

Statistical Inference for Generative Model Comparison

As of 22 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2501.18897.

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

pith.paper-citation-record.v1
2501.18897 v4

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:10:45.736598Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

9 of 9 outbound references displayed

verified exact0
verified fuzzy6
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 041fe243-9337-4763-a71a-96b66fb4f8c2 · outbound

This paper cites GPT-4 Technical Report.

Statistical Inference for Generative Model Comparison GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T22:10:45.584006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebfee7df-42d2-4749-827e-db36d502b498 · outbound

This paper cites Ours (Auto Encoder).

Statistical Inference for Generative Model Comparison Ours (Auto Encoder)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:10:45.974667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e72edd7f-b5d5-4ed8-b878-8303f6051c69 · outbound

This paper cites Villani, C´ edric et al.

Statistical Inference for Generative Model Comparison Villani, C´ edric et al

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:10:46.074535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c5a1ef36-388f-4d5e-a4b5-d09b12a42f90 · outbound

This paper cites Sincef(x) is convex, we haveβ≤0, and we finish the proof.

Statistical Inference for Generative Model Comparison Sincef(x) is convex, we haveβ≤0, and we finish the proof

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:10:46.025868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ab65bd3c-6e4a-4910-9a35-a0ba4eddb913 · outbound

This paper cites (29) What remains is to determine the inverse functions,g −1 1 andg −1 2 , as well as the corresponding Jacobian determinants,|J g1 |(g−1 1 (Yi)) and|J g2 |(g−1 2 (Yi)).

Statistical Inference for Generative Model Comparison (29) What remains is to determine the inverse functions,g −1 1 andg −1 2 , as well as the corresponding Jacobian determinants,|J g1 |(g−1 1 (Yi)) and|J g2 |(g−1 2 (Yi))

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:10:46.010270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c363307b-1d21-46bb-9b9e-064bc7c9cbc1 · outbound

This paper cites an unresolved cited work.

Statistical Inference for Generative Model Comparison Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-09T22:10:45.991083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b65c9271-7064-46db-87d8-963c46791647 · outbound

This paper cites Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses.

Statistical Inference for Generative Model Comparison Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses

Reference 338

Resolution: unresolved; no resolver link, observed 2026-08-09T22:10:45.594961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65c5d7c5-976b-46a4-83dd-8594527955e7 · outbound

This paper cites We next discuss the challenges of performing inference for evaluation methods based on the Wasserstein-p distance.

Statistical Inference for Generative Model Comparison We next discuss the challenges of performing inference for evaluation methods based on the Wasserstein-p distance

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:10:46.058989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation baf1912d-28f6-43e7-b629-0c53c79dfcd5 · outbound

This paper cites 2017), two most commonly used quantitative scores for generative models.

Statistical Inference for Generative Model Comparison 2017), two most commonly used quantitative scores for generative models

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:10:46.041340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.