Paper Citation Record · LEDGER

Three-Body Scattering for Generative Modeling

As of 13 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 1 inbound Pith citation observation for arXiv:2607.18198.

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

pith.paper-citation-record.v1
2607.18198 v1

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:49:34.760798Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T18:58:28.532532Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

76 of 76 outbound references displayed

verified exact0
verified fuzzy0
unresolved76
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ccb96af3-00c8-4a2a-b164-b8e8aaa601c0 · outbound

This paper cites Gradient Flows in Metric Spaces and in the Space of Probability Measures.

Three-Body Scattering for Generative Modeling Gradient Flows in Metric Spaces and in the Space of Probability Measures

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:29.959633Z

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Observation 22f355e6-763a-474f-9a02-9f20f91cee05 · outbound

This paper cites Maximum mean discrepancy gradient flow.

Three-Body Scattering for Generative Modeling Maximum mean discrepancy gradient flow

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:30.000157Z

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Observation ff227714-887f-4bba-b521-f00bb1013b6b · outbound

This paper cites Qwen2.5-VL Technical Report.

Three-Body Scattering for Generative Modeling Qwen2.5-VL Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:30.078314Z

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Observation 6e8dcb30-8f4d-423c-ab3a-d7acf937380d · outbound

This paper cites The Cramer Distance as a Solution to Biased Wasserstein Gradients.

Three-Body Scattering for Generative Modeling The Cramer Distance as a Solution to Biased Wasserstein Gradients

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:30.146804Z

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Observation 90e89fb6-bbcb-4a55-83b1-aafb06aa62b1 · outbound

This paper cites On the global convergence of Wasserstein gradient flow of the Coulomb discrepancy.

Three-Body Scattering for Generative Modeling On the global convergence of Wasserstein gradient flow of the Coulomb discrepancy

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:30.198557Z

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Observation ef6926c7-d441-45a4-bdd9-0fdd49f567a0 · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

Three-Body Scattering for Generative Modeling Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:30.266156Z

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Observation c25037bd-be54-41a3-87da-5949586d31bc · outbound

This paper cites A Unifying View of Variational Generative Wasserstein Flows.

Three-Body Scattering for Generative Modeling A Unifying View of Variational Generative Wasserstein Flows

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:30.314806Z

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Observation 3bb6ca6c-dfa5-437b-b366-99a37d75874d · outbound

This paper cites Quantitative convergence of Wasserstein gradient flows of kernel mean discrepancies.

Three-Body Scattering for Generative Modeling Quantitative convergence of Wasserstein gradient flows of kernel mean discrepancies

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:30.356867Z

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Observation f9ff2f15-aa23-4b9b-b40c-161b3367047c · outbound

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

Three-Body Scattering for Generative Modeling Imagenet: A large-scale hierarchical image database

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:30.428288Z

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Observation 7447b823-0901-48a3-9f58-b6eea469ebcf · outbound

This paper cites Generative Modeling via Drifting.

Three-Body Scattering for Generative Modeling Generative Modeling via Drifting

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:30.489900Z

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Observation c03e923c-2ef3-44d0-9c6e-7c8c36f7094b · outbound

This paper cites Diffusion models beat gans on image synthesis.

Three-Body Scattering for Generative Modeling Diffusion models beat gans on image synthesis

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:30.565816Z

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Observation d1170246-7938-4416-b30b-32854e9473be · outbound

This paper cites Wasserstein gradient flows of MMD functionals with distance kernel and cauchy problems on quantile functions.

Three-Body Scattering for Generative Modeling Wasserstein gradient flows of MMD functionals with distance kernel and cauchy problems on quantile functions

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:30.643522Z

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Observation 03a2fb26-3aa5-469c-9a80-25d9b844acbc · outbound

This paper cites Kernel-Gradient Drifting Models.

Three-Body Scattering for Generative Modeling Kernel-Gradient Drifting Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:30.711627Z

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Observation e7399d7a-98d4-4d8a-a1e0-c778cb66d3e7 · outbound

This paper cites Representation Distribution Matching for One-Step Visual Generation.

Three-Body Scattering for Generative Modeling Representation Distribution Matching for One-Step Visual Generation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:30.786732Z

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Observation e5f907b5-8200-4759-bea9-34011633ed4d · outbound

This paper cites One Step Diffusion via Shortcut Models.

Three-Body Scattering for Generative Modeling One Step Diffusion via Shortcut Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:30.855734Z

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Observation f4272f96-2c9f-4884-9e3b-ea75c32a9330 · outbound

This paper cites Drifting Fields are not Conservative.

Three-Body Scattering for Generative Modeling Drifting Fields are not Conservative

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:30.927805Z

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Observation 1f177e75-2fe0-4da0-b7fb-9a71581daf0f · outbound

This paper cites Deep MMD gradient flow without adversarial training.

Three-Body Scattering for Generative Modeling Deep MMD gradient flow without adversarial training

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:30.994729Z

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Observation ea75867d-2403-4988-b5d0-988ad1673f3c · outbound

This paper cites Mean Flows for One-step Generative Modeling.

Three-Body Scattering for Generative Modeling Mean Flows for One-step Generative Modeling

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:31.074582Z

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Observation fe725b25-7748-4020-a726-f1ec8ab5288d · outbound

This paper cites Generative adversarial nets.

Three-Body Scattering for Generative Modeling Generative adversarial nets

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:31.152241Z

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Observation 6c9934f7-bd00-4a10-972c-70d3ac3dd995 · outbound

This paper cites Borgwardt, Malte J.

Three-Body Scattering for Generative Modeling Borgwardt, Malte J

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:31.239029Z

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Observation d19afa76-72e5-4f0b-bba9-4c2d2df47518 · outbound

This paper cites Posterior sampling based on gradient flows of the MMD with negative distance kernel.

Three-Body Scattering for Generative Modeling Posterior sampling based on gradient flows of the MMD with negative distance kernel

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:31.290678Z

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Observation 429d449a-5a27-465c-b11e-3378a7863174 · outbound

This paper cites One-Step Generative Modeling via Wasserstein Gradient Flows.

Three-Body Scattering for Generative Modeling One-Step Generative Modeling via Wasserstein Gradient Flows

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:31.296099Z

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Observation 5159f575-9a58-433c-bb23-e82455296b84 · outbound

This paper cites Deep residual learning for image recognition.

Three-Body Scattering for Generative Modeling Deep residual learning for image recognition

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:31.375466Z

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Observation c06b815c-9ce8-48fb-8a83-0c6ad02a4cd6 · outbound

This paper cites Masked autoencoders are scalable vision learners.

Three-Body Scattering for Generative Modeling Masked autoencoders are scalable vision learners

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:31.457986Z

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Observation fb734492-c855-4366-85da-d892e43ad6ca · outbound

This paper cites Sinkhorn-drifting generative models.

Three-Body Scattering for Generative Modeling Sinkhorn-drifting generative models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:31.566526Z

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Observation 16bfa92e-1700-420e-9e5e-708357e02cc3 · outbound

This paper cites Generative sliced MMD flows with Riesz kernels.

Three-Body Scattering for Generative Modeling Generative sliced MMD flows with Riesz kernels

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:31.665700Z

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Observation b1f45d6d-c899-4c52-9f51-3c56ef5b50dd · outbound

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

Three-Body Scattering for Generative Modeling Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:31.756713Z

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Observation 659aef47-b806-4ff5-8763-182404e671c5 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Three-Body Scattering for Generative Modeling Classifier-Free Diffusion Guidance

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:31.808127Z

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Observation 6693c23f-9d7d-459e-8975-5aa049b7954f · outbound

This paper cites Denoising diffusion probabilistic models.

Three-Body Scattering for Generative Modeling Denoising diffusion probabilistic models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:31.997730Z

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Observation ccf9e337-3c8a-45e2-9fc3-c5c6b104c80d · outbound

This paper cites The variational formulation of the Fokker--Planck equation.

Three-Body Scattering for Generative Modeling The variational formulation of the Fokker--Planck equation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:32.138794Z

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Observation be576122-0bf5-4efa-8b10-4d07b83e6a87 · outbound

This paper cites Scaling up gans for text-to-image synthesis.

Three-Body Scattering for Generative Modeling Scaling up gans for text-to-image synthesis

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:32.235354Z

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Observation f5962c68-9277-4497-b9d8-753f2255d814 · outbound

This paper cites Analyzing and improving the training dynamics of diffusion models.

Three-Body Scattering for Generative Modeling Analyzing and improving the training dynamics of diffusion models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:32.375344Z

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Observation 3b7a0675-5ab4-432b-8c00-f594de70ac87 · outbound

This paper cites Kingma and Ruiqi Gao.

Three-Body Scattering for Generative Modeling Kingma and Ruiqi Gao

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:32.479373Z

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Observation a3634ee5-5b8c-47a3-9a7a-c73ac184d924 · outbound

This paper cites MMD GAN : Towards deeper understanding of moment matching network.

Three-Body Scattering for Generative Modeling MMD GAN : Towards deeper understanding of moment matching network

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:32.625686Z

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Observation ab12ab41-8727-4a99-b4dc-0e65bd709164 · outbound

This paper cites Back to Basics: Let Denoising Generative Models Denoise.

Three-Body Scattering for Generative Modeling Back to Basics: Let Denoising Generative Models Denoise

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:32.727026Z

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Observation 2ca2683d-ddf9-402a-ab30-7e36440beaf6 · outbound

This paper cites Autoregressive image generation without vector quantization.

Three-Body Scattering for Generative Modeling Autoregressive image generation without vector quantization

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:32.818807Z

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Unavailable: canonical work link unavailable.

Observation 83daf7ad-efc0-4b95-9472-04f7940bcca9 · outbound

This paper cites Generative moment matching networks.

Three-Body Scattering for Generative Modeling Generative moment matching networks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:32.933443Z

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Observation 3d41ca75-54b5-4626-901b-b335d8cc70e8 · outbound

This paper cites Adversarial Flow Models.

Three-Body Scattering for Generative Modeling Adversarial Flow Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:33.103229Z

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Observation 7afd5666-29cd-4e42-aafb-4f6a6f28102c · outbound

This paper cites Continuous Adversarial Flow Models.

Three-Body Scattering for Generative Modeling Continuous Adversarial Flow Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:33.201379Z

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Observation 45d46997-d9e0-451e-8d97-3fa5a41a5226 · outbound

This paper cites Flow Matching for Generative Modeling.

Three-Body Scattering for Generative Modeling Flow Matching for Generative Modeling

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:33.293568Z

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Observation 4661f259-22d4-42a6-81b9-fc13cf6f871c · outbound

This paper cites Stein variational gradient descent: A general purpose Bayesian inference algorithm.

Three-Body Scattering for Generative Modeling Stein variational gradient descent: A general purpose Bayesian inference algorithm

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:33.391744Z

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Observation 5ce8d8fc-da6f-4a99-8907-fd2de7b646f9 · outbound

This paper cites Decoupled Weight Decay Regularization.

Three-Body Scattering for Generative Modeling Decoupled Weight Decay Regularization

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:33.546332Z

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Observation dbd3c3f7-2310-4bd0-b94c-cc6c50180cfb · outbound

This paper cites Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models.

Three-Body Scattering for Generative Modeling Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:33.618481Z

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Observation 1f671e5f-3611-46ae-a9fb-479e57ea4e50 · outbound

This paper cites One-step Latent-free Image Generation with Pixel Mean Flows.

Three-Body Scattering for Generative Modeling One-step Latent-free Image Generation with Pixel Mean Flows

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:33.778334Z

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Observation 94e23bf8-a2c7-44d0-96bc-bdc70996a899 · outbound

This paper cites Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers.

Three-Body Scattering for Generative Modeling Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:33.851814Z

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Observation 01ae601e-87d4-44d0-992c-0451fa722990 · outbound

This paper cites PixelGen: Improving Pixel Diffusion with Perceptual Supervision.

Three-Body Scattering for Generative Modeling PixelGen: Improving Pixel Diffusion with Perceptual Supervision

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:33.988843Z

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Observation c141a2bc-3230-4a86-8060-d985bb91f9a7 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Three-Body Scattering for Generative Modeling PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.092616Z

Source-reported events for the cited work

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Observation 21d39d1c-bcbf-4625-9334-564115ed76cf · outbound

This paper cites Scalable diffusion models with transformers.

Three-Body Scattering for Generative Modeling Scalable diffusion models with transformers

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.177978Z

Source-reported events for the cited work

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Observation 0e5a19e8-2ef8-4738-91aa-1b3cff1d4039 · outbound

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

Three-Body Scattering for Generative Modeling High-resolution image synthesis with latent diffusion models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.182165Z

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Observation 9b1f96c7-651a-47c0-abc6-0f03b4839e5c · outbound

This paper cites Smoothed distance kernels for MMD s and applications in Wasserstein gradient flows.

Three-Body Scattering for Generative Modeling Smoothed distance kernels for MMD s and applications in Wasserstein gradient flows

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.186308Z

Source-reported events for the cited work

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Observation bba08984-459c-4e28-a7c9-fe30b4184838 · outbound

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

Three-Body Scattering for Generative Modeling Progressive Distillation for Fast Sampling of Diffusion Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.190195Z

Source-reported events for the cited work

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Observation 5c4e9ace-54c5-460d-a362-9c138d62d5a2 · outbound

This paper cites Stylegan-xl: Scaling stylegan to large diverse datasets.

Three-Body Scattering for Generative Modeling Stylegan-xl: Scaling stylegan to large diverse datasets

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.193964Z

Source-reported events for the cited work

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Observation 206792f9-9838-4c4e-b910-70077b45f873 · outbound

This paper cites Schilling, Renming Song, and Zoran Vondra c ek.

Three-Body Scattering for Generative Modeling Schilling, Renming Song, and Zoran Vondra c ek

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.198060Z

Source-reported events for the cited work

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Observation 0b2a90ea-57f6-4c5c-990d-0cb66e883006 · outbound

This paper cites Equivalence of distance-based and RKHS -based statistics in hypothesis testing.

Three-Body Scattering for Generative Modeling Equivalence of distance-based and RKHS -based statistics in hypothesis testing

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.201750Z

Source-reported events for the cited work

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Observation cc405d2f-af69-4473-9751-58fdfbcc4353 · outbound

This paper cites an unresolved cited work.

Three-Body Scattering for Generative Modeling Unresolved cited work

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.206256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8887d9a0-1eb9-43d5-8291-1cc621494bbe · outbound

This paper cites Denoising Diffusion Implicit Models.

Three-Body Scattering for Generative Modeling Denoising Diffusion Implicit Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.210708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9d580eb-f15c-4769-bb9e-99b06223fcf8 · outbound

This paper cites Improved Techniques for Training Consistency Models.

Three-Body Scattering for Generative Modeling Improved Techniques for Training Consistency Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.215127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a970f0c2-ed27-4394-b8e8-0c83056d5d5e · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Three-Body Scattering for Generative Modeling Score-Based Generative Modeling through Stochastic Differential Equations

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.219289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a466dc4-4461-4e52-a8d6-d89367bcd00c · outbound

This paper cites Consistency Models.

Three-Body Scattering for Generative Modeling Consistency Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.223406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5406b67b-68de-44da-a302-96e1d2d1827e · outbound

This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

Three-Body Scattering for Generative Modeling Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.228521Z

Source-reported events for the cited work

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Observation 429aa4a3-ea4b-46be-b6f0-ba7e3a6cc9b4 · outbound

This paper cites Unified Continuous Generative Models.

Three-Body Scattering for Generative Modeling Unified Continuous Generative Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.306071Z

Source-reported events for the cited work

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Observation fc54429a-de71-4fed-a0b7-92d5f30220c1 · outbound

This paper cites Sz \'e kely and Maria L.

Three-Body Scattering for Generative Modeling Sz \'e kely and Maria L

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.456595Z

Source-reported events for the cited work

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Observation 52cb2d76-4b94-4b66-8550-97d2f598d818 · outbound

This paper cites Sobolev Regularized MMD Gradient Flow.

Three-Body Scattering for Generative Modeling Sobolev Regularized MMD Gradient Flow

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.619818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b1c38be-cee1-4ef9-a13d-ee68ba0e6a66 · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.

Three-Body Scattering for Generative Modeling Visual autoregressive modeling: Scalable image generation via next-scale prediction

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.711292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fee3a09f-3f6d-4150-9ea2-92843a957405 · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

Three-Body Scattering for Generative Modeling SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.715916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12d0a8d8-a3d9-42ec-bba1-afbb0244047a · outbound

This paper cites Coulomb GAN s: Provably optimal Nash equilibria via potential fields.

Three-Body Scattering for Generative Modeling Coulomb GAN s: Provably optimal Nash equilibria via potential fields

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.720482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1475af2-ec3f-478c-8a63-a5ad2a05df1b · outbound

This paper cites Pixel recurrent neural networks.

Three-Body Scattering for Generative Modeling Pixel recurrent neural networks

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.724284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbd68ca7-6a9f-4877-9546-2aeb4eebcb06 · outbound

This paper cites Qwen-Image Technical Report.

Three-Body Scattering for Generative Modeling Qwen-Image Technical Report

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.728546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce86e050-7fdc-42f4-993c-00f62f637faa · outbound

This paper cites Representation Fr\'echet Loss for Visual Generation.

Three-Body Scattering for Generative Modeling Representation Fr\'echet Loss for Visual Generation

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.732174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1f34e98-7fe0-4f6e-a4c2-610de4b5eb37 · outbound

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

Three-Body Scattering for Generative Modeling Improved Distribution Matching Distillation for Fast Image Synthesis

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.736797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee5be9bd-143a-43e3-a427-19be5be822bd · outbound

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

Three-Body Scattering for Generative Modeling One-step diffusion with distribution matching distillation

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.741006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 168a649a-0a32-4b07-a546-4b80edc34ebd · outbound

This paper cites Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation.

Three-Body Scattering for Generative Modeling Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.744699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd634990-6a11-426b-a0a1-3ac77557c246 · outbound

This paper cites Autoregressive image generation with masked bit modeling.

Three-Body Scattering for Generative Modeling Autoregressive image generation with masked bit modeling

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.749153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d73881c-4a91-4238-b77b-18a54af97bb0 · outbound

This paper cites PixelDiT: Pixel Diffusion Transformers for Image Generation.

Three-Body Scattering for Generative Modeling PixelDiT: Pixel Diffusion Transformers for Image Generation

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.752933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd57ed78-6004-4ce6-b964-dbe8057ba530 · outbound

This paper cites Sigmoid Loss for Language Image Pre-Training.

Three-Body Scattering for Generative Modeling Sigmoid Loss for Language Image Pre-Training

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.756747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6eff6f55-d01b-4c38-8570-6935cb3d77f7 · outbound

This paper cites Perceptual Flow Matching for Few-Step Generative Modeling.

Three-Body Scattering for Generative Modeling Perceptual Flow Matching for Few-Step Generative Modeling

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-01T15:49:34.760798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f077ba27-c588-4ae8-9369-f93215a61928 · inbound

Amortized Moment Matching for Visual Generation cites this paper.

Amortized Moment Matching for Visual Generation Three-Body Scattering for Generative Modeling

Reference 160

Resolution: unresolved; no resolver link, observed 2026-07-30T18:58:28.532532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.