Paper Citation Record · LEDGER

Generative Modeling via Kernelized Stochastic Interpolants

As of 7 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2602.20070.

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

pith.paper-citation-record.v1
2602.20070 v3

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:32:20.091791Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy0
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 69e1fbc5-74de-472f-9a5f-92c04bed78cc · outbound

This paper cites Deep MMD Gradient Flow without adversarial training.

Generative Modeling via Kernelized Stochastic Interpolants Deep MMD Gradient Flow without adversarial training

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T21:32:19.344045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfc2605d-9ba9-4182-ad0c-e188690c9a28 · outbound

This paper cites Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching.

Generative Modeling via Kernelized Stochastic Interpolants Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T21:32:19.397296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 398437ea-3233-4fa9-aa93-bab49c0a1f1f · outbound

This paper cites SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers.

Generative Modeling via Kernelized Stochastic Interpolants SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T21:32:19.617512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64cf4473-6bbb-4cf9-b032-99c451754316 · outbound

This paper cites Sampling in Unit Time with Kernel Fisher-Rao Flow.

Generative Modeling via Kernelized Stochastic Interpolants Sampling in Unit Time with Kernel Fisher-Rao Flow

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T21:32:19.682943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6be67856-e51a-49ad-a509-da696367a9ca · outbound

This paper cites Jean Morlet, Georges Arens, Eliane Fourgeau, and Dominique Glard.

Generative Modeling via Kernelized Stochastic Interpolants Jean Morlet, Georges Arens, Eliane Fourgeau, and Dominique Glard

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T21:32:19.761974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6792876b-21ea-4040-998a-098668cc9708 · outbound

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

Generative Modeling via Kernelized Stochastic Interpolants Score-Based Generative Modeling through Stochastic Differential Equations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T21:32:19.944724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae4dc37e-bdab-4728-920d-419f1853ee87 · outbound

This paper cites Denoising Data with Measurement Error Using a Reproducing Kernel-based Diffusion Model.

Generative Modeling via Kernelized Stochastic Interpolants Denoising Data with Measurement Error Using a Reproducing Kernel-based Diffusion Model

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T21:32:20.007936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7484ed44-5f37-4b5d-97a6-7ca8b3e1933f · outbound

This paper cites Proof.Consider the ODE ˙X ∗ t =⟨∇ϕ(X ∗ t ), η∗ t ⟩F withX ∗ 0 =I 0 ∼N(0,Id d), whereη ∗ t solvesE X ∗ t [∇ϕ(X ∗ t )· ∇ϕ(X ∗ t )]η ∗ t =E It [∇ϕ(It)· ˙It].

Generative Modeling via Kernelized Stochastic Interpolants Proof.Consider the ODE ˙X ∗ t =⟨∇ϕ(X ∗ t ), η∗ t ⟩F withX ∗ 0 =I 0 ∼N(0,Id d), whereη ∗ t solvesE X ∗ t [∇ϕ(X ∗ t )· ∇ϕ(X ∗ t )]η ∗ t =E It [∇ϕ(It)· ˙It]

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T21:32:20.091791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dae36db-68f7-41ce-bc97-8d25d618706e · outbound

This paper cites ISBN 9781595937643.

Generative Modeling via Kernelized Stochastic Interpolants ISBN 9781595937643

Reference 2007

Resolution: unresolved; no resolver link, observed 2026-08-02T21:32:19.903034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c5d0ab7-39be-4296-97d3-28a926e9c394 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Generative Modeling via Kernelized Stochastic Interpolants LoRA: Low-Rank Adaptation of Large Language Models

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-02T21:32:19.465065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee7a5a6e-0738-4d79-85b4-ad47d17cc47d · outbound

This paper cites Data exploration of turbulence simulations using a database cluster.

Generative Modeling via Kernelized Stochastic Interpolants Data exploration of turbulence simulations using a database cluster

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-02T21:32:19.808354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c6f8971-1878-4717-9e30-6422ee87461a · outbound

This paper cites Diffusion soup: Model merging for text-to-image diffusion models.

Generative Modeling via Kernelized Stochastic Interpolants Diffusion soup: Model merging for text-to-image diffusion models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-02T21:32:19.169214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49d0e3b3-0fe9-400f-a8c4-61ff8cfee664 · outbound

This paper cites MGD: Moment guided diffusion for maximum entropy generation.arXiv preprint arXiv:2602.17211,.

Generative Modeling via Kernelized Stochastic Interpolants MGD: Moment guided diffusion for maximum entropy generation.arXiv preprint arXiv:2602.17211,

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-02T21:32:19.516453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d211fe1-626f-424b-a3a7-56cf8c929dfd · outbound

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

Generative Modeling via Kernelized Stochastic Interpolants Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-02T21:32:19.117678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7749e3bb-2235-4cf5-911f-25a7c2b5bb35 · outbound

This paper cites Probabilistic Forecasting with Stochastic Interpolants and F\"ollmer Processes.

Generative Modeling via Kernelized Stochastic Interpolants Probabilistic Forecasting with Stochastic Interpolants and F\"ollmer Processes

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T21:32:19.272053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5144d2e7-7bc2-4893-83f2-fa0e2e95c742 · outbound

This paper cites Distributional Diffusion Models with Scoring Rules.

Generative Modeling via Kernelized Stochastic Interpolants Distributional Diffusion Models with Scoring Rules

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T21:32:19.213205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.