Paper Citation Record · LEDGER

Designing a Conditional Prior Distribution for Flow-Based Generative Models

As of 8 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 6 inbound Pith citation observations for arXiv:2502.09611.

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

pith.paper-citation-record.v1
2502.09611 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:58:43.924882Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T12:30:44.334748Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T06:06:41.199505Z

Reference resolution

46 of 46 outbound references displayed

verified exact2
verified fuzzy6
unresolved38
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 09b6e4d2-2ea7-42e6-b151-d8ce683f806f · outbound

This paper cites write newline.

Designing a Conditional Prior Distribution for Flow-Based Generative Models write newline

Reference 1

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Observation ddd26d0c-ee3d-4091-aead-d119bb31b518 · outbound

This paper cites write newline.

Designing a Conditional Prior Distribution for Flow-Based Generative Models write newline

Reference 2

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Observation 35d91c7e-2781-4519-a4ac-a1282e259f39 · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Building Normalizing Flows with Stochastic Interpolants

Reference 3

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Observation c96d5932-a040-4879-9e0e-30316210d960 · outbound

This paper cites Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold

Reference 4

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Observation 70585170-43b7-4418-981d-21157dd913e7 · outbound

This paper cites Demystifying MMD GANs.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Demystifying MMD GANs

Reference 5

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Observation 97ddd65a-9473-43ae-af88-5e224bb531dc · outbound

This paper cites A., Gardner, P., Rogers, T.

Designing a Conditional Prior Distribution for Flow-Based Generative Models A., Gardner, P., Rogers, T

Reference 6

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Observation f9957d93-b8ec-4a0d-bab9-ec920c9f7d2b · outbound

This paper cites an unresolved cited work.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Unresolved cited work

Reference 7

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Source-reported events for the cited work

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Observation 656a0c9d-9e39-4613-877e-7cacc10507b8 · outbound

This paper cites an unresolved cited work.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T20:58:44.832158Z

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Observation ebb8f28e-3c79-4149-aaf7-ee403e7999ce · outbound

This paper cites Flow Matching in Latent Space.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Flow Matching in Latent Space

Reference 9

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Observation 66ec762e-4fe3-420e-8614-b45226928add · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Imagenet: A large-scale hierarchical image database

Reference 10

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Observation b7553f68-21fd-417c-81ce-6b6a308f8d85 · outbound

This paper cites and Nichol, A.

Designing a Conditional Prior Distribution for Flow-Based Generative Models and Nichol, A

Reference 11

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Observation f6cba2e6-7589-434f-93a2-4b9f2f045224 · outbound

This paper cites Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T20:58:43.018634Z

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Observation 010c8a1b-1dee-48d5-a2a3-e88860d0389e · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Scaling rectified flow transformers for high-resolution image synthesis

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T20:58:43.095843Z

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Observation c06dc114-b146-407b-af3d-5e65af7dc0f8 · outbound

This paper cites datasauRus: Datasets from the Datasaurus Dozen, 2025.

Designing a Conditional Prior Distribution for Flow-Based Generative Models datasauRus: Datasets from the Datasaurus Dozen, 2025

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:58:44.788731Z

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Observation 3cc78b7c-5f58-42d2-80de-ed42776ec2c0 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

Designing a Conditional Prior Distribution for Flow-Based Generative Models CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 15

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Observation 7cd08ae8-a16c-43b6-ac3e-6bc7c19e8fdd · outbound

This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.

Designing a Conditional Prior Distribution for Flow-Based Generative Models GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Reference 16

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Observation 294c8bd8-5fc4-4813-b6fb-8db4f8ea883e · outbound

This paper cites an unresolved cited work.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Unresolved cited work

Reference 17

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Observation 4137e7d7-d604-45ba-a50d-45db9d22dfca · outbound

This paper cites Classifier-Free Diffusion Guidance.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Classifier-Free Diffusion Guidance

Reference 18

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Observation cbf45a9b-deb8-4732-9f7f-1625b9e59ddb · outbound

This paper cites Denoising diffusion probabilistic models.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Denoising diffusion probabilistic models

Reference 19

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Observation a061c4e4-0e6a-42c2-b788-0585bde528f7 · outbound

This paper cites Denoising diffusion probabilistic models.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Denoising diffusion probabilistic models

Reference 20

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Observation 1ad35687-5a20-4bc4-823f-c7d1f602bd46 · outbound

This paper cites Extended Flow Matching: a Method of Conditional Generation with Generalized Continuity Equation.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Extended Flow Matching: a Method of Conditional Generation with Generalized Continuity Equation

Reference 21

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Observation 854c9206-02b5-4fe8-a4f7-bfbc1e52533e · outbound

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Designing a Conditional Prior Distribution for Flow-Based Generative Models Unresolved cited work

Reference 22

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Observation b71cfe02-b4b0-4a7d-8243-ebff754140e1 · outbound

This paper cites Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering

Reference 23

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Observation bb5ce102-79bc-449b-a25f-e47339a2206f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Adam: A Method for Stochastic Optimization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T20:58:43.366531Z

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Observation bc400404-48f8-4b93-9c4a-574984be8a8c · outbound

This paper cites J., and Brubaker, M.

Designing a Conditional Prior Distribution for Flow-Based Generative Models J., and Brubaker, M

Reference 25

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Observation fa54b0cc-1dbb-434f-97ca-bceedb1d2f24 · outbound

This paper cites PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior.

Designing a Conditional Prior Distribution for Flow-Based Generative Models PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior

Reference 26

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Observation 685a3bc1-b461-4f6e-86e0-a9b5d1622bd9 · outbound

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Designing a Conditional Prior Distribution for Flow-Based Generative Models Unresolved cited work

Reference 27

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Observation e7c9311f-f3fa-4f61-a788-10c6f334851d · outbound

This paper cites H., Le, M., Vyas, A., Shi, B., Tjandra, A., and Hsu, W.-N.

Designing a Conditional Prior Distribution for Flow-Based Generative Models H., Le, M., Vyas, A., Shi, B., Tjandra, A., and Hsu, W.-N

Reference 29

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Observation 8ae5781d-320a-4efc-b729-b493080a1af2 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 30

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Observation b941c34d-9102-447a-b12d-098a07fe99fe · outbound

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Designing a Conditional Prior Distribution for Flow-Based Generative Models Unresolved cited work

Reference 31

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Observation 9e40a977-5245-4845-8788-6f3af4eb3fc6 · outbound

This paper cites J., Mohamed, S., and Lakshminarayanan, B.

Designing a Conditional Prior Distribution for Flow-Based Generative Models J., Mohamed, S., and Lakshminarayanan, B

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:58:44.492478Z

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Observation 8808c4de-b8a2-4ffe-b6bf-0ec87834cd1d · outbound

This paper cites Multisample Flow Matching: Straightening Flows with Minibatch Couplings.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Multisample Flow Matching: Straightening Flows with Minibatch Couplings

Reference 33

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This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

Designing a Conditional Prior Distribution for Flow-Based Generative Models W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 34

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Designing a Conditional Prior Distribution for Flow-Based Generative Models High-resolution image synthesis with latent diffusion models

Reference 35

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Observation 81da50a9-cfa9-43f4-99b3-e7396290a51a · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Designing a Conditional Prior Distribution for Flow-Based Generative Models U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 36

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Observation 102dda12-7f64-4af1-9f75-f84a91fa7b75 · outbound

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Designing a Conditional Prior Distribution for Flow-Based Generative Models Deep unsupervised learning using nonequilibrium thermodynamics

Reference 37

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Observation 5a90cc32-76dd-4010-b32c-4f7df3eb2cc4 · outbound

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Designing a Conditional Prior Distribution for Flow-Based Generative Models Score-Based Generative Modeling through Stochastic Differential Equations

Reference 38

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Designing a Conditional Prior Distribution for Flow-Based Generative Models and Mayers, D

Reference 39

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Observation 342b77d4-6e49-474f-af59-66bf852440ce · outbound

This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Improving and generalizing flow-based generative models with minibatch optimal transport

Reference 40

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Observation 9ea7787a-1a2b-455c-8394-71abdc036ea5 · outbound

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Designing a Conditional Prior Distribution for Flow-Based Generative Models Neural Discrete Representation Learning

Reference 41

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Observation d2f01eaa-3aea-4965-8609-0570360dde3c · outbound

This paper cites Attention Is All You Need.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Attention Is All You Need

Reference 42

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Observation 49cf909f-b63c-4982-9848-7284b416d3f0 · outbound

This paper cites Diffusers: State-of-the-art diffusion models.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Diffusers: State-of-the-art diffusion models

Reference 43

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Observation 26cec4d5-2fcd-4d7b-b502-6b3ab349b885 · outbound

This paper cites Guided Flows for Generative Modeling and Decision Making.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Guided Flows for Generative Modeling and Decision Making

Reference 44

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Observation 726e1361-064f-4a3b-b03c-1f86b0f31d9d · outbound

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Designing a Conditional Prior Distribution for Flow-Based Generative Models @esa (Ref

Reference 45

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Observation 3f73744e-6bb2-4ece-a11a-53b606657bcd · outbound

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Designing a Conditional Prior Distribution for Flow-Based Generative Models Unresolved cited work

Reference 46

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Unavailable: canonical work link unavailable.

Observation daf21f0d-45e0-4854-b888-9d3010e77af3 · outbound

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Designing a Conditional Prior Distribution for Flow-Based Generative Models Flow Matching for Generative Modeling

Reference 47

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Pith citing papers

Observation e154105f-f6e5-4325-a118-2555e5b0a911 · inbound

Increasing the Precision of Surrogate Models for Weak Lensing Mass Maps with Flow Matching cites this paper.

Increasing the Precision of Surrogate Models for Weak Lensing Mass Maps with Flow Matching Designing a Conditional Prior Distribution for Flow-Based Generative Models

Reference 33

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Observation 86dd0a71-d254-42b8-9784-8d92dc4bca17 · inbound

Colored Noise Diffusion Sampling cites this paper.

Colored Noise Diffusion Sampling Designing a Conditional Prior Distribution for Flow-Based Generative Models

Reference 19

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Source-reported events for the cited work

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Observation 03ae961a-369e-4118-a565-a223ca6bfd09 · inbound

Optimal Transport Flow Matching by Design cites this paper.

Optimal Transport Flow Matching by Design Designing a Conditional Prior Distribution for Flow-Based Generative Models

Reference 22

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Source-reported events for the cited work

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Observation 3e7192c6-01ad-41e0-ad88-ce4ec2db8575 · inbound

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters cites this paper.

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters Designing a Conditional Prior Distribution for Flow-Based Generative Models

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:06:41.200872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d444b41c-c469-4231-94c5-dc741eea56ac · inbound

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters cites this paper.

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters Designing a Conditional Prior Distribution for Flow-Based Generative Models

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-02T12:30:44.334748Z

Source-reported events for the cited work

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Observation 8bfd427d-d635-480d-9761-679bfe0dd834 · inbound

Source-Lifted Flow Matching for Intervenable Multimodal Imitation cites this paper.

Source-Lifted Flow Matching for Intervenable Multimodal Imitation Designing a Conditional Prior Distribution for Flow-Based Generative Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T13:30:25.329162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.