Paper Citation Record · LEDGER

Learning to Solve Generative ODEs Beyond the Linear Span

As of 24 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2606.08672.

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

pith.paper-citation-record.v1
2606.08672 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T18:37:32.586998Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

47 of 47 outbound references displayed

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Outbound references

Observation 33da8540-84da-48bc-bc2f-e2f9ed58115a · outbound

This paper cites Denoising diffusion probabilistic models.

Learning to Solve Generative ODEs Beyond the Linear Span Denoising diffusion probabilistic models

Reference 1

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Observation a81b573e-0754-4e4d-9bb4-e3c436b940cb · outbound

This paper cites Elucidating the design space of diffusion-based generative models.NeurIPS, 2022.

Learning to Solve Generative ODEs Beyond the Linear Span Elucidating the design space of diffusion-based generative models.NeurIPS, 2022

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation fe18b01c-f32a-49a4-be0a-a33df9451a6e · outbound

This paper cites Flux.https://github.com/black-forest-labs/flux, 2024.

Learning to Solve Generative ODEs Beyond the Linear Span Flux.https://github.com/black-forest-labs/flux, 2024

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation 6ed03798-1733-4cdc-807e-f7991ef332cd · outbound

This paper cites SANA: Efficient high-resolution image synthesis with linear diffusion transformers.

Learning to Solve Generative ODEs Beyond the Linear Span SANA: Efficient high-resolution image synthesis with linear diffusion transformers

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation ccefea9b-0e71-4fb4-86c3-03c9d8011cbd · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Learning to Solve Generative ODEs Beyond the Linear Span Wan: Open and Advanced Large-Scale Video Generative Models

Reference 5

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Observation 9835343d-edf2-4727-850c-2a049c7c0992 · outbound

This paper cites De novo design of protein structure and function with RFdiffusion.Nature, 620: 1089–1100, 2023.

Learning to Solve Generative ODEs Beyond the Linear Span De novo design of protein structure and function with RFdiffusion.Nature, 620: 1089–1100, 2023

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation af6b75b9-374c-4065-8cf3-c92d1d2191d0 · outbound

This paper cites SE(3)-stochastic flow matching for protein backbone generation.

Learning to Solve Generative ODEs Beyond the Linear Span SE(3)-stochastic flow matching for protein backbone generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation 8029f5d8-96de-476c-9fda-927f678f1005 · outbound

This paper cites Maddix, Yi Zhu, Mu Li, and Yuyang Wang.

Learning to Solve Generative ODEs Beyond the Linear Span Maddix, Yi Zhu, Mu Li, and Yuyang Wang

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation 43ecd0e6-df37-4414-a500-0bbc1315602e · outbound

This paper cites Progressive distillation for fast sampling of diffusion models.

Learning to Solve Generative ODEs Beyond the Linear Span Progressive distillation for fast sampling of diffusion models

Reference 9

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Observation 3683a39d-7a44-40e0-82e2-c74e09664350 · outbound

This paper cites Consistency models.

Learning to Solve Generative ODEs Beyond the Linear Span Consistency models

Reference 10

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Observation a3ed176b-7340-4478-92c4-3e8aa7eebee7 · outbound

This paper cites Improved techniques for training consistency models.

Learning to Solve Generative ODEs Beyond the Linear Span Improved techniques for training consistency models

Reference 11

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Observation fd441118-1a24-4062-8cf7-f38a99706b8c · outbound

This paper cites Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models.Machine Intelligence Re- search, 2025.

Learning to Solve Generative ODEs Beyond the Linear Span Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models.Machine Intelligence Re- search, 2025

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation 8cd67f3d-5870-4e6c-8f1e-bcd4de3f8b1e · outbound

This paper cites Pseudo numerical methods for diffusion models on manifolds.

Learning to Solve Generative ODEs Beyond the Linear Span Pseudo numerical methods for diffusion models on manifolds

Reference 13

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Observation fb6e70f3-68dc-4c6e-b1af-60d5be6c75dd · outbound

This paper cites Fast sampling of diffusion models with exponential integrator.

Learning to Solve Generative ODEs Beyond the Linear Span Fast sampling of diffusion models with exponential integrator

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation 6c879048-c65e-42c1-a055-629d6b271e9d · outbound

This paper cites Unipc: A unified predictor- corrector framework for fast sampling of diffusion models.

Learning to Solve Generative ODEs Beyond the Linear Span Unipc: A unified predictor- corrector framework for fast sampling of diffusion models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation 86cc1596-5a3f-483d-87f8-33b25dcc279e · outbound

This paper cites hp-vpinns: Variational physics-informed neural networks with domain decomposition.Computer Methods in Applied Mechanics and Engineering, 2021.

Learning to Solve Generative ODEs Beyond the Linear Span hp-vpinns: Variational physics-informed neural networks with domain decomposition.Computer Methods in Applied Mechanics and Engineering, 2021

Reference 16

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Observation dd8961bf-94e4-48a6-ad79-d49b28241332 · outbound

This paper cites Pinns with learnable quadrature.

Learning to Solve Generative ODEs Beyond the Linear Span Pinns with learnable quadrature

Reference 17

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Observation 2382aaec-dc3f-4f98-8763-785893927719 · outbound

This paper cites S4s: Solving for a diffusion model solver.

Learning to Solve Generative ODEs Beyond the Linear Span S4s: Solving for a diffusion model solver

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation d0167aa2-067e-405f-9dd2-526ed47b414c · outbound

This paper cites Dyweight: Dynamic gradient weighting for few-step diffusion sampling.

Learning to Solve Generative ODEs Beyond the Linear Span Dyweight: Dynamic gradient weighting for few-step diffusion sampling

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation 326fce32-3836-41ba-b616-d45930e1d329 · outbound

This paper cites Bespoke non-stationary solvers for fast sampling of diffusion and flow models.

Learning to Solve Generative ODEs Beyond the Linear Span Bespoke non-stationary solvers for fast sampling of diffusion and flow models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation 845dd134-b493-4842-8c5e-716f79b37b02 · outbound

This paper cites Learning to discretize denoising diffusion odes.

Learning to Solve Generative ODEs Beyond the Linear Span Learning to discretize denoising diffusion odes

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation 4ee5efdc-713f-4d48-ad6c-eac1366cfd02 · outbound

This paper cites Fast ode-based sampling for diffusion models in around 5 steps.

Learning to Solve Generative ODEs Beyond the Linear Span Fast ode-based sampling for diffusion models in around 5 steps

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation 72f40c48-1ba2-4843-8c42-fdb2d944b2bd · outbound

This paper cites Differentiable solver search for fast diffusion sampling.

Learning to Solve Generative ODEs Beyond the Linear Span Differentiable solver search for fast diffusion sampling

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation 8fb70fb3-716b-4635-9b81-87adb1f66cf0 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

Learning to Solve Generative ODEs Beyond the Linear Span Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation ef6ef39d-c5ac-4f40-9cfa-834a64adb0a6 · outbound

This paper cites Bertozzi, and Ernest K.

Learning to Solve Generative ODEs Beyond the Linear Span Bertozzi, and Ernest K

Reference 25

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Observation 9cb5c0b1-23d9-4813-869f-e8165a334931 · outbound

This paper cites Pérez, Ricky T.

Learning to Solve Generative ODEs Beyond the Linear Span Pérez, Ricky T

Reference 26

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Observation 3d252f9e-c7c7-41b8-97b1-c11beb5bf0a3 · outbound

This paper cites Learning fast samplers for diffusion models by differentiating through sample quality.

Learning to Solve Generative ODEs Beyond the Linear Span Learning fast samplers for diffusion models by differentiating through sample quality

Reference 27

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Observation 3fc58b67-7569-4dfc-90cd-091ec5b473b1 · outbound

This paper cites Distilling ode solvers of diffusion models into smaller steps.

Learning to Solve Generative ODEs Beyond the Linear Span Distilling ode solvers of diffusion models into smaller steps

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation 7792bc96-c305-4332-982e-3b8fd3f64af2 · outbound

This paper cites Towards more accurate diffusion model acceleration with a timestep tuner.

Learning to Solve Generative ODEs Beyond the Linear Span Towards more accurate diffusion model acceleration with a timestep tuner

Reference 29

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Observation 9a9c1120-dbd9-46c3-baa9-bd94df604003 · outbound

This paper cites Accelerating diffusion sampling with optimized time steps.

Learning to Solve Generative ODEs Beyond the Linear Span Accelerating diffusion sampling with optimized time steps

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation 051b6895-e0b0-4ef9-99c1-f2efaaad9ca9 · outbound

This paper cites Align your steps: Optimizing sampling schedules in diffusion models.

Learning to Solve Generative ODEs Beyond the Linear Span Align your steps: Optimizing sampling schedules in diffusion models

Reference 31

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Observation 24e66fa3-0e77-4789-b473-7a3c6c0f03cb · outbound

This paper cites Distilling parallel gradients for fast ode solvers of diffusion models.

Learning to Solve Generative ODEs Beyond the Linear Span Distilling parallel gradients for fast ode solvers of diffusion models

Reference 32

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Observation 0296382d-e485-43c3-ab4e-c9e5384bdcdc · outbound

This paper cites Dual-solver: A generalized ODE solver for diffusion models with dual prediction.

Learning to Solve Generative ODEs Beyond the Linear Span Dual-solver: A generalized ODE solver for diffusion models with dual prediction

Reference 33

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Observation 84245ed3-f2a7-464f-8e9a-c0bd587bf8df · outbound

This paper cites Bézierflow: Learning bézier stochastic interpolant schedulers for few-step generation.

Learning to Solve Generative ODEs Beyond the Linear Span Bézierflow: Learning bézier stochastic interpolant schedulers for few-step generation

Reference 34

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Observation c1acbe99-cada-43dd-9452-ed65bfae38ba · outbound

This paper cites Linear multistep solver distillation for fast sampling of diffusion models.

Learning to Solve Generative ODEs Beyond the Linear Span Linear multistep solver distillation for fast sampling of diffusion models

Reference 35

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Observation ac85eb27-c935-4d9e-b886-26fe61ca595c · outbound

This paper cites On the trajectory regularity of ode-based diffusion sampling.

Learning to Solve Generative ODEs Beyond the Linear Span On the trajectory regularity of ode-based diffusion sampling

Reference 36

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Observation e64592bb-cb50-4206-8a5a-f003dba21ae9 · outbound

This paper cites Springer-Verlag, Berlin Heidelberg, 2nd edition, 1993.

Learning to Solve Generative ODEs Beyond the Linear Span Springer-Verlag, Berlin Heidelberg, 2nd edition, 1993

Reference 37

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Observation 112a8a52-f9fc-4a26-a1f4-a619f89359b3 · outbound

This paper cites Going deeper with convolutions.

Learning to Solve Generative ODEs Beyond the Linear Span Going deeper with convolutions

Reference 38

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Observation ec6e1795-9fde-49f2-80a9-15d2a6721af8 · outbound

This paper cites Dinov2: Learning robust visual features without supervision, 2023.

Learning to Solve Generative ODEs Beyond the Linear Span Dinov2: Learning robust visual features without supervision, 2023

Reference 39

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Observation 93031444-1623-4aba-8289-4cfb5b1a12c4 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.NeurIPS, 2017.

Learning to Solve Generative ODEs Beyond the Linear Span Gans trained by a two time-scale update rule converge to a local nash equilibrium.NeurIPS, 2017

Reference 40

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Observation 83ac1af3-949a-4b66-9ce7-d7f3e69f24e0 · outbound

This paper cites Learning multiple layers of features from tiny images.

Learning to Solve Generative ODEs Beyond the Linear Span Learning multiple layers of features from tiny images

Reference 41

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Observation 43de262b-e192-4bac-9f00-93911fbb1f67 · outbound

This paper cites Imagenet large scale visual recognition challenge.

Learning to Solve Generative ODEs Beyond the Linear Span Imagenet large scale visual recognition challenge

Reference 42

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This paper cites A style-based generator architecture for generative adversarial networks.

Learning to Solve Generative ODEs Beyond the Linear Span A style-based generator architecture for generative adversarial networks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation 73bceb37-e03f-4439-a387-3d4dde2e4d7c · outbound

This paper cites Stargan v2: Diverse image synthesis for multiple domains.

Learning to Solve Generative ODEs Beyond the Linear Span Stargan v2: Diverse image synthesis for multiple domains

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation 0809c3ba-7ddc-4e38-8bba-cdafe2164579 · outbound

This paper cites Sevir: A storm event imagery dataset for deep learning applications in radar and satellite meteorology.

Learning to Solve Generative ODEs Beyond the Linear Span Sevir: A storm event imagery dataset for deep learning applications in radar and satellite meteorology

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation d11335b1-a66c-493e-9868-b0d12fa2a2b9 · outbound

This paper cites Denoising diffusion implicit models.

Learning to Solve Generative ODEs Beyond the Linear Span Denoising diffusion implicit models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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Observation 7f112ba8-19d6-4d0a-87e8-ad8ddb54dc8d · outbound

This paper cites Imagereward: Learning and evaluating human preferences for text-to-image generation.

Learning to Solve Generative ODEs Beyond the Linear Span Imagereward: Learning and evaluating human preferences for text-to-image generation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-27T18:37:32.586998Z

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