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Paper Citation Record · LEDGER

Evaluating Aleatoric Uncertainty via Conditional Generative Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2206.04287.

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

pith.paper-citation-record.v1
2206.04287 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:45:13.216961Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T06:05:35.191670Z

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 9079f9fc-654e-4106-b6cc-ea282638b9c3 · inbound

Contextual Scenario Generation for Two-Stage Stochastic Programming cites this paper.

Contextual Scenario Generation for Two-Stage Stochastic Programming Evaluating Aleatoric Uncertainty via Conditional Generative Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-08T19:45:13.216961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:45:13.216961Z digest=sha256:b62934682484e6de612c5c059da38bba87d628f7502ad45c187ac1616f5cf978

Observation b8e562e7-844e-4469-8ca7-36713aab8c82 · inbound

Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data cites this paper.

Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data Evaluating Aleatoric Uncertainty via Conditional Generative Models

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-06T19:58:41.690740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:58:41.690740Z digest=sha256:b7b2c756c36686e708a2730bb5c52ce44681b64b8f81c16fcf80eadbab9381c5

Observation aafe99f2-39d0-456c-8dda-394466d883db · inbound

Neural Generative Distributional Regression cites this paper.

Neural Generative Distributional Regression Evaluating Aleatoric Uncertainty via Conditional Generative Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:05:35.193479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T19:01:32.135559Z digest=sha256:e80e86f447d6662b78165f28345eaf03593fda9aebd7a4353c48d4d317a9d536

Observation 52e1b14b-bc87-4d10-9ea8-03aa36fa1b19 · inbound

Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models cites this paper.

Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models Evaluating Aleatoric Uncertainty via Conditional Generative Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-11T19:48:08.010459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:48:08.010459Z digest=sha256:750d70c9498ba7f4b23b82a5c5bd6225a707298b7b615eebe571e24dbc52990d

Observation 32a07d91-b0f4-4131-a45a-b7e582ba4cb9 · inbound

Integrating Contextual Embeddings into Evaluation of Expressive MIDI Piano Performances cites this paper.

Integrating Contextual Embeddings into Evaluation of Expressive MIDI Piano Performances Evaluating Aleatoric Uncertainty via Conditional Generative Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-07-31T23:16:04.198856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:16:04.198856Z digest=sha256:25afe12c6467acfc67ebfbb93175ca5de5f8606192d265195a4b1d548a3d1282