Paper Citation Record · LEDGER

Contrastive Flow Matching

As of 16 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 2 inbound Pith citation observations for arXiv:2506.05350.

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

pith.paper-citation-record.v1
2506.05350 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:31:22.968838Z

measured 48 of 48 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 2026-08-03T14:53:02.306664Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T23:48:19.288118Z

Reference resolution

46 of 46 outbound references displayed

verified exact0
verified fuzzy22
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 120817df-469e-477c-9eeb-1e7c729f01b0 · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Contrastive Flow Matching Building Normalizing Flows with Stochastic Interpolants

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.827419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37388974-e48c-43c4-8dba-a2a81b9525f9 · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

Contrastive Flow Matching Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.831330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7d5639d-89ff-4f87-b2d0-3ec5ab1c3cef · outbound

This paper cites All are worth words: A vit backbone for diffusion models.

Contrastive Flow Matching All are worth words: A vit backbone for diffusion models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.364750Z

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 eca1ae3d-e7d2-486b-a3db-562d766048d8 · outbound

This paper cites Tripletgan: Training generative model with triplet loss, 2017.

Contrastive Flow Matching Tripletgan: Training generative model with triplet loss, 2017

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.355837Z

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 c38c3ded-35cd-4be2-92af-f6feee56ae0c · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

Contrastive Flow Matching Emerg- ing properties in self-supervised vision transformers

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.841560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abe1af4a-6221-4719-8d85-15580dce44cd · outbound

This paper cites an unresolved cited work.

Contrastive Flow Matching Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:31:23.341407Z

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 810b5632-fc00-4701-8feb-06ae3ea5e034 · outbound

This paper cites A simple framework for contrastive learning of visual representations.ICLR, 2020.

Contrastive Flow Matching A simple framework for contrastive learning of visual representations.ICLR, 2020

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.332163Z

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 5dff5626-401b-4212-a0a8-4fe0ce3d1e0c · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

Contrastive Flow Matching Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.851207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecc8254a-6dcf-4120-9932-6208a433d84e · outbound

This paper cites CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models.

Contrastive Flow Matching CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.854366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38e99cfb-1cc1-4e1c-a691-fc36b00f0260 · outbound

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

Contrastive Flow Matching Imagenet: A large-scale hierarchical image database

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.323506Z

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 7600c742-6137-46b9-812e-834463807a75 · outbound

This paper cites Improving image syn- thesis with diffusion-negative sampling, 2024.

Contrastive Flow Matching Improving image syn- thesis with diffusion-negative sampling, 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.314699Z

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 fc62bc0c-b767-4c2a-b85f-271c666bb24e · outbound

This paper cites Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794, 2021.

Contrastive Flow Matching Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794, 2021

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.305725Z

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 d17aa214-a4a2-4757-94b9-37d5782b565f · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Contrastive Flow Matching An image is worth 16x16 words: Transformers for image recognition at scale

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.867155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 408ddad6-7e82-43f5-b4e6-1cedf5749114 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.ICML, 2024.

Contrastive Flow Matching Scaling rectified flow transformers for high-resolution image synthesis.ICML, 2024

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.291912Z

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 8f85a489-fe06-46fa-bf5e-ad1f736bcb61 · outbound

This paper cites Momentum contrast for unsupervised visual repre- sentation learning.CVPR, 2020.

Contrastive Flow Matching Momentum contrast for unsupervised visual repre- sentation learning.CVPR, 2020

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.282977Z

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 281e417b-8e46-4cba-87d1-ccaae96a9828 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Contrastive Flow Matching Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.274162Z

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 9c8f3570-ec1f-4f54-80f7-6c6febc51b99 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Contrastive Flow Matching Classifier-Free Diffusion Guidance

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.878463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 353b4bc7-2a6b-4337-aa14-4ab1cba604b9 · outbound

This paper cites Classifier-free diffusion guidance, 2022.

Contrastive Flow Matching Classifier-free diffusion guidance, 2022

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.881493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fca898d-773c-458b-a00e-87b419f3581e · outbound

This paper cites Denoising diffu- sion probabilistic models.

Contrastive Flow Matching Denoising diffu- sion probabilistic models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.260223Z

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 963fbc61-09e5-4396-a700-8c83ca75cfaf · outbound

This paper cites Guiding a Diffusion Model with a Bad Version of Itself.

Contrastive Flow Matching Guiding a Diffusion Model with a Bad Version of Itself

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.888263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d0a8371-b7d8-4018-a135-a99e60fb794f · outbound

This paper cites Dynamic negative guidance of diffusion models: Towards immediate content removal.

Contrastive Flow Matching Dynamic negative guidance of diffusion models: Towards immediate content removal

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.250948Z

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 2959d21f-3d82-4bc6-8f80-4c692018554c · outbound

This paper cites Improved precision and recall metric for assessing generative models.NeurIPS, 2019.

Contrastive Flow Matching Improved precision and recall metric for assessing generative models.NeurIPS, 2019

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.242082Z

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 ed3543cb-8e13-4554-93f2-4eb5d3cd3af7 · outbound

This paper cites Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models.

Contrastive Flow Matching Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.898502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e03f8121-b07f-4ed3-a801-dba3d76d6e95 · outbound

This paper cites an unresolved cited work.

Contrastive Flow Matching Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:31:23.233264Z

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 f57412e8-f47b-455e-99a2-6362e59151e5 · outbound

This paper cites an unresolved cited work.

Contrastive Flow Matching Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:31:23.223872Z

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 25277ff6-bcea-4ba2-9837-7c7df25da41a · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow, 2022.

Contrastive Flow Matching Flow straight and fast: Learning to generate and transfer data with rectified flow, 2022

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.213747Z

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 a405004b-05fb-40f6-a981-cce09f6887eb · outbound

This paper cites Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning.

Contrastive Flow Matching Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.205041Z

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 4a8436d2-2176-4d52-92d3-bc1a2df39a62 · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

Contrastive Flow Matching Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.913729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0517a93-54ca-4feb-b52d-57283db0558a · outbound

This paper cites Albergo, Nicholas M.

Contrastive Flow Matching Albergo, Nicholas M

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.195955Z

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 1a8088d6-0f35-41f8-8cd6-9de4844306bf · outbound

This paper cites Generating Images with Sparse Representations.

Contrastive Flow Matching Generating Images with Sparse Representations

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.919748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08791226-6bee-4643-b34f-d78745cc863d · outbound

This paper cites an unresolved cited work.

Contrastive Flow Matching Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:31:23.186882Z

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 c3029d68-f1f7-4ab0-942b-d6cbb78abd29 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Contrastive Flow Matching High-resolution image synthesis with latent diffusion models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.925775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ee9e5a8-d237-4d3c-ad9f-97c7a26a789f · outbound

This paper cites Berg, and Li Fei-Fei.

Contrastive Flow Matching Berg, and Li Fei-Fei

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.929072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47b406ec-bbb1-4e37-b7e3-a7836092de04 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Contrastive Flow Matching Progressive Distillation for Fast Sampling of Diffusion Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.932130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89e4561f-f1a7-4549-98d7-9918cce0643c · outbound

This paper cites Improved techniques for training gans.Advances in neural information processing systems, 29, 2016.

Contrastive Flow Matching Improved techniques for training gans.Advances in neural information processing systems, 29, 2016

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.935336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6318d82-744a-4c31-a2e6-341eb34a20fb · outbound

This paper cites Facenet: A unified embedding for face recognition and clus- tering.

Contrastive Flow Matching Facenet: A unified embedding for face recognition and clus- tering

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.161949Z

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 2552958e-95bb-4e36-8ee9-9579f7eb0e6b · outbound

This paper cites Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning.

Contrastive Flow Matching Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.151582Z

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 771bb458-2025-4a9c-91c0-332fcd6556a8 · outbound

This paper cites Gradient-Free Classifier Guidance for Diffusion Model Sampling.

Contrastive Flow Matching Gradient-Free Classifier Guidance for Diffusion Model Sampling

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.944250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1850586f-878c-48a8-93b5-310b2f49620f · outbound

This paper cites Denoising diffusion implicit models.

Contrastive Flow Matching Denoising diffusion implicit models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.142536Z

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 e1252128-bdeb-47e5-983c-c33f36e90a3d · outbound

This paper cites Loss-guided diffusion models for plug-and-play con- trollable generation.

Contrastive Flow Matching Loss-guided diffusion models for plug-and-play con- trollable generation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.133280Z

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 8176abb7-ef3d-41d6-81e2-d05c4a60c647 · outbound

This paper cites Score-based generative modeling in latent space, 2021.

Contrastive Flow Matching Score-based generative modeling in latent space, 2021

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.124059Z

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 20fe9ae1-9dc0-4451-bce6-21de8b8f5862 · outbound

This paper cites Improved Distribution Matching Distillation for Fast Image Synthesis.

Contrastive Flow Matching Improved Distribution Matching Distillation for Fast Image Synthesis

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.956344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46933e49-1f6c-400c-a81a-09c32195064e · outbound

This paper cites One-step diffusion with distribution matching distillation.

Contrastive Flow Matching One-step diffusion with distribution matching distillation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.959929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ec1b8c9-7060-400f-b474-8e9925e52444 · outbound

This paper cites Representa- tion alignment for generation: Training diffusion transformers is easier than you think, 2024.

Contrastive Flow Matching Representa- tion alignment for generation: Training diffusion transformers is easier than you think, 2024

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.109806Z

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 77e5238d-1f2b-46d4-8166-47feee761fcd · outbound

This paper cites Egsde: Un- paired image-to-image translation via energy-guided stochas- tic differential equations.Advances in Neural Information Processing Systems, 35:3609–3623, 2022.

Contrastive Flow Matching Egsde: Un- paired image-to-image translation via energy-guided stochas- tic differential equations.Advances in Neural Information Processing Systems, 35:3609–3623, 2022

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:31:23.099511Z

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 15b009de-1002-4fbe-9713-278872ee011b · outbound

This paper cites Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation.

Contrastive Flow Matching Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:22.968838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 302f2c90-00ee-453c-b387-e9460fa09c3e · inbound

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture cites this paper.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Contrastive Flow Matching

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T14:53:02.306664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b80c0f1e-0bb2-42b8-97f9-cd4b4886dc30 · inbound

MPDiT: Multi-Patch Global-to-Local Transformer Architecture For Efficient Flow Matching and Diffusion Model cites this paper.

MPDiT: Multi-Patch Global-to-Local Transformer Architecture For Efficient Flow Matching and Diffusion Model Contrastive Flow Matching

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:48:19.291487Z

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.