Paper Citation Record · LEDGER

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation

As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 2 inbound Pith citation observations for arXiv:2505.08709.

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

pith.paper-citation-record.v1
2505.08709 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:52:56.562545Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:28:03.904124Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T12:11:21.600779Z

Reference resolution

28 of 28 outbound references displayed

verified exact1
verified fuzzy8
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 91183de1-1393-4aea-a013-6f4657c210cb · outbound

This paper cites Bhimji, P.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Bhimji, P

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:56.458159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f19b85e0-0846-4211-8167-384f71977424 · outbound

This paper cites Adversarial Variational Optimization of Non-Differentiable Simulators.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Adversarial Variational Optimization of Non-Differentiable Simulators

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:56.462354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9090d8a8-6727-469a-a072-edbe2257f6d3 · outbound

This paper cites Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:56.466237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c7ba417-8902-4577-a7d0-c72357183e07 · outbound

This paper cites an unresolved cited work.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:52:57.001808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e3fdac92-e7f5-4c42-bfb6-130d4a05b669 · outbound

This paper cites Invariant Risk Minimization.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Invariant Risk Minimization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:56.474353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81d5f488-678c-4644-81c6-30fe58d2ad66 · outbound

This paper cites Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:56.478558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26e42771-5f0a-48ea-b960-e702aebbf217 · outbound

This paper cites Predictive Uncertainty Estimation via Prior Networks.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Predictive Uncertainty Estimation via Prior Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:56.482608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d33b9805-aadb-4494-9f5f-3ba1e8c1d86e · outbound

This paper cites The Mythos of Model Interpretability.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation The Mythos of Model Interpretability

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:56.486548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b215c5bc-454d-42bc-a03d-3d53ac0670ae · outbound

This paper cites Baldi, K.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Baldi, K

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:56.991277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 378336d7-adb2-434b-9694-43c8e12dfe0e · outbound

This paper cites Learning to Pivot with Adversarial Networks.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Learning to Pivot with Adversarial Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:56.494062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3df787f-a52d-4f8a-8ef7-1e27d4d3a299 · outbound

This paper cites Ghosh, B.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Ghosh, B

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:56.980209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ee17dc1a-a07e-4e9b-80ec-fcab531b422b · outbound

This paper cites Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paper.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paper

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:56.502102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc61a473-75ba-470f-9fe0-eb3235095bcb · outbound

This paper cites Density estimation using Real NVP.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Density estimation using Real NVP

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:56.506193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a47f0f7-14ad-4017-8bf9-1fca5a26256c · outbound

This paper cites Glow: Generative Flow with Invertible 1x1 Convolutions.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Glow: Generative Flow with Invertible 1x1 Convolutions

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:56.510203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50885d2a-ac49-455a-b67d-3901a2eec7c3 · outbound

This paper cites Normalizing Flows for Probabilistic Modeling and Inference.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Normalizing Flows for Probabilistic Modeling and Inference

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:56.514101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69b1b746-d7e2-43e9-848f-6df5c9b72a7d · outbound

This paper cites Detecting Out-of-Distribution Inputs to Deep Generative Models Using Typicality.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Detecting Out-of-Distribution Inputs to Deep Generative Models Using Typicality

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:56.517893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e5cb1a0-7621-4960-ba1e-c474bcfad123 · outbound

This paper cites Likelihood Ratios for Out-of-Distribution Detection.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Likelihood Ratios for Out-of-Distribution Detection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:56.522238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c8237a2-da6a-498a-b2b5-d8dfade41550 · outbound

This paper cites Positive Difference Distribution for Image Outlier Detection using Normalizing Flows and Contrastive Data.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Positive Difference Distribution for Image Outlier Detection using Normalizing Flows and Contrastive Data

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:52:56.610640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2b60b72e-d8a0-42dc-8b89-c093124b1c39 · outbound

This paper cites Cao and Z.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Cao and Z

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:56.968732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4713197c-5e55-4ec6-963e-3b07f07533b0 · outbound

This paper cites Andreassen and B.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Andreassen and B

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:56.957338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 03e0e2eb-cd23-4765-bae5-141c816212b9 · outbound

This paper cites Approximating Likelihood Ratios with Calibrated Discriminative Classifiers.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Approximating Likelihood Ratios with Calibrated Discriminative Classifiers

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:56.536723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4377e4b4-aa15-436b-982f-4501d0a2384f · outbound

This paper cites Neyman, Outline of a theory of statistical estimation based on the classical theory of probability, Philosophical Transactions of the Royal Society of London.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Neyman, Outline of a theory of statistical estimation based on the classical theory of probability, Philosophical Transactions of the Royal Society of London

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:56.946399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ac89a0b6-d04d-441f-8ad9-23ee2d92170d · outbound

This paper cites Perlmutter system architecture.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Perlmutter system architecture

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:56.934663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b86b9d68-cda4-44ff-a930-a3ac760af131 · outbound

This paper cites an unresolved cited work.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:52:56.922051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation afd9ad14-5084-41b3-aa21-02bf03805821 · outbound

This paper cites 6.2 as is the Neyman Construction once ˆµ is estimated.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation 6.2 as is the Neyman Construction once ˆµ is estimated

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:56.910730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2595c6b7-5894-487a-ba00-effdc30219ae · outbound

This paper cites an unresolved cited work.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:52:56.899790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 20cc418e-cd6a-4f45-8b07-6069a0640813 · outbound

This paper cites an unresolved cited work.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:52:56.889190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3184c5b9-42de-4de6-861f-d0c2813b47a6 · outbound

This paper cites Thus, the network implicitly learns how variations ofν shift the score distribution for each class.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Thus, the network implicitly learns how variations ofν shift the score distribution for each class

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:56.878556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 5c97423c-b96c-4266-9a86-38c278648e62 · inbound

Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties cites this paper.

Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-05T13:28:03.904124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23038d5d-3969-4b3a-bed1-0e023bec02f6 · inbound

Towards a Certificate of Trust: Task-Aware OOD Detection for Scientific AI cites this paper.

Towards a Certificate of Trust: Task-Aware OOD Detection for Scientific AI Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:11:21.603969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.