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Paper Citation Record · LEDGER

A Kinetic Energy Perspective of Flow Matching

As of 9 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2602.07928.

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

pith.paper-citation-record.v1
2602.07928 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:31:36.991787Z

measured 42 of 42 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T02:20:05.185298Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T02:22:06.321498Z

Reference resolution

41 of 41 outbound references displayed

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External citation measurements

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Outbound references

Observation dd3a327c-eb0c-44eb-891d-8eba59bd0547 · outbound

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

A Kinetic Energy Perspective of Flow Matching Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 1

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Observation 676be107-b330-4e8d-ac2a-b35d73a0eec1 · outbound

This paper cites Memorization and Regularization in Generative Diffusion Models.

A Kinetic Energy Perspective of Flow Matching Memorization and Regularization in Generative Diffusion Models

Reference 2

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Observation 5fcf37a3-c180-4b47-b824-c591ae92b7f0 · outbound

This paper cites and Brenier, Y.

A Kinetic Energy Perspective of Flow Matching and Brenier, Y

Reference 3

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Observation 791f2886-5694-419d-b628-db0d84ffc52a · outbound

This paper cites On the closed-form of flow matching: Generalization does not arise from target stochasticity.

A Kinetic Energy Perspective of Flow Matching On the closed-form of flow matching: Generalization does not arise from target stochasticity

Reference 4

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Observation 57a7c04f-c91f-4e87-a462-1d975c9dcdc5 · outbound

This paper cites Why diffusion models don't memorize: The role of implicit dynamical regularization in training.

A Kinetic Energy Perspective of Flow Matching Why diffusion models don't memorize: The role of implicit dynamical regularization in training

Reference 5

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Observation a745c59b-e509-48c6-9e42-258636df4559 · outbound

This paper cites T., Rubanova, Y., Bettencourt, J., and Duvenaud, D.

A Kinetic Energy Perspective of Flow Matching T., Rubanova, Y., Bettencourt, J., and Duvenaud, D

Reference 6

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Observation e629aba2-c4f7-4275-89a4-8b2e6209a1bd · outbound

This paper cites an unresolved cited work.

A Kinetic Energy Perspective of Flow Matching Unresolved cited work

Reference 7

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Observation 138325a1-c3c7-46b2-9dbd-b1f30bc97323 · outbound

This paper cites an unresolved cited work.

A Kinetic Energy Perspective of Flow Matching Unresolved cited work

Reference 8

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Observation 8a3f3033-e7c9-49b6-b2b6-6624fd343924 · outbound

This paper cites How to train your neural ODE: the world of Jacobian and kinetic regularization.

A Kinetic Energy Perspective of Flow Matching How to train your neural ODE: the world of Jacobian and kinetic regularization

Reference 9

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Observation 1e63b3ea-6b9a-4e81-8836-24e32ade9767 · outbound

This paper cites How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces?.

A Kinetic Energy Perspective of Flow Matching How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces?

Reference 10

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Observation d9253b4c-b138-4577-883c-850962a4d21c · outbound

This paper cites P., and Safko, J.

A Kinetic Energy Perspective of Flow Matching P., and Safko, J

Reference 11

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Observation fbbfe20f-4767-4172-931d-3f8e8d136869 · outbound

This paper cites On the relation between rectified flows and optimal transport.

A Kinetic Energy Perspective of Flow Matching On the relation between rectified flows and optimal transport

Reference 12

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Observation 46afc5d6-dce5-4a5b-a6bf-6879601cb7bf · outbound

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

A Kinetic Energy Perspective of Flow Matching Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 13

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Observation 77f6f374-e2d2-42d0-bd35-58b9d24a5367 · outbound

This paper cites Understanding diffusion models by feynman’s path integral.

A Kinetic Energy Perspective of Flow Matching Understanding diffusion models by feynman’s path integral

Reference 14

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Observation 529334e8-0714-4a54-8008-6730c0fc220c · outbound

This paper cites Classifier-Free Diffusion Guidance.

A Kinetic Energy Perspective of Flow Matching Classifier-Free Diffusion Guidance

Reference 15

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Observation 1379afca-6095-4b14-bebc-8ebcadbe8cac · outbound

This paper cites Speed-accuracy relations for diffusion models: Wisdom from nonequilibrium thermodynamics and optimal transport.

A Kinetic Energy Perspective of Flow Matching Speed-accuracy relations for diffusion models: Wisdom from nonequilibrium thermodynamics and optimal transport

Reference 16

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Observation ec9ed341-e112-47b4-9f70-7ee5cfbd3496 · outbound

This paper cites Rethinking fid: Towards a better evaluation metric for image generation.

A Kinetic Energy Perspective of Flow Matching Rethinking fid: Towards a better evaluation metric for image generation

Reference 17

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Observation 365393f4-ed8f-4ba8-931f-2c0f29b257a1 · outbound

This paper cites Distribution estimation via flow matching with L ipschitz guarantees.

A Kinetic Energy Perspective of Flow Matching Distribution estimation via flow matching with L ipschitz guarantees

Reference 18

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Observation 7e38adbd-925a-4905-9d7f-d9035f7fbdde · outbound

This paper cites Flow Matching for Generative Modeling.

A Kinetic Energy Perspective of Flow Matching Flow Matching for Generative Modeling

Reference 19

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Observation 56e65270-5c6f-43ab-8f20-1bf1c3f0f653 · outbound

This paper cites Flow Matching Guide and Code.

A Kinetic Energy Perspective of Flow Matching Flow Matching Guide and Code

Reference 20

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Observation f390f157-c947-4c2f-8b20-5acac53370b7 · outbound

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

A Kinetic Energy Perspective of Flow Matching Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 21

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Observation 01cc2b68-13d3-4209-b6d0-ca6bf8f780d3 · outbound

This paper cites S., Boffi, N.

A Kinetic Energy Perspective of Flow Matching S., Boffi, N

Reference 22

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Observation a3290a26-ea3e-4b50-96e2-67f9f5665863 · outbound

This paper cites K., and Wasserman, L.

A Kinetic Energy Perspective of Flow Matching K., and Wasserman, L

Reference 23

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Observation 42e4ad9e-b2b3-4f06-b03e-49cb8bc2b0ec · outbound

This paper cites Score-based generative models detect manifolds.

A Kinetic Energy Perspective of Flow Matching Score-based generative models detect manifolds

Reference 24

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Observation d6f1e954-d15b-4b83-8cf9-e583a4d3cdf7 · outbound

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A Kinetic Energy Perspective of Flow Matching Unresolved cited work

Reference 25

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Observation ec3bb149-9c4f-4a0c-8ee4-2eafda458be7 · outbound

This paper cites Closed-Form Diffusion Models.

A Kinetic Energy Perspective of Flow Matching Closed-Form Diffusion Models

Reference 26

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Observation 25bd1325-b4c4-409b-b264-882d3abfcfc8 · outbound

This paper cites Stochastic thermodynamics, fluctuation theorems and molecular machines.

A Kinetic Energy Perspective of Flow Matching Stochastic thermodynamics, fluctuation theorems and molecular machines

Reference 27

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Observation 99ea2849-34c0-450c-aced-ad910b2deedd · outbound

This paper cites T., Nickel, M., Le, M., and Lipman, Y.

A Kinetic Energy Perspective of Flow Matching T., Nickel, M., Le, M., and Lipman, Y

Reference 28

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Observation 27dfe8fa-4e60-4ec2-a99d-8d588676d002 · outbound

This paper cites Denoising Diffusion Implicit Models.

A Kinetic Energy Perspective of Flow Matching Denoising Diffusion Implicit Models

Reference 29

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A Kinetic Energy Perspective of Flow Matching P., Kumar, A., Ermon, S., and Poole, B

Reference 30

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Observation b717353e-369c-4d9e-8c3e-55eedb33ebb9 · outbound

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

A Kinetic Energy Perspective of Flow Matching Improving and generalizing flow-based generative models with minibatch optimal transport

Reference 31

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Observation 8f252d15-a7e2-45c6-b4d1-5780b74bd611 · outbound

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A Kinetic Energy Perspective of Flow Matching Unresolved cited work

Reference 32

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Observation 6e7a3cbf-94d3-4b2a-a28e-396395221b59 · outbound

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A Kinetic Energy Perspective of Flow Matching and Steidl, G

Reference 33

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Observation 032e5b1b-450d-4f62-9387-d13eb891d17b · outbound

This paper cites Elucidating flow matching ode dynamics via data geometry and denoisers.

A Kinetic Energy Perspective of Flow Matching Elucidating flow matching ode dynamics via data geometry and denoisers

Reference 34

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Observation f860d888-f416-4bbb-a2d7-3650a29fd8d2 · outbound

This paper cites Energy-based diffusion language models for text generation.

A Kinetic Energy Perspective of Flow Matching Energy-based diffusion language models for text generation

Reference 35

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Observation df942f35-81d6-4bf0-9983-ca6f5dc8b46e · outbound

This paper cites Provable separations between memorization and generalization in diffusion models.

A Kinetic Energy Perspective of Flow Matching Provable separations between memorization and generalization in diffusion models

Reference 36

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Observation 84f3d1df-f73f-4d97-b888-b0bd40ea0fcc · outbound

This paper cites Y., Kwon, S., and Ryu, E.

A Kinetic Energy Perspective of Flow Matching Y., Kwon, S., and Ryu, E

Reference 37

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Observation 35194baf-3666-4d5c-aad4-381c432e1b9f · outbound

This paper cites Freedom: Training-free energy-guided conditional diffusion model.

A Kinetic Energy Perspective of Flow Matching Freedom: Training-free energy-guided conditional diffusion model

Reference 38

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Observation e51f2b32-b6ee-4e40-9651-f6251578410f · outbound

This paper cites and Chen, Y.

A Kinetic Energy Perspective of Flow Matching and Chen, Y

Reference 39

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Observation cfa17f1a-fd91-4bb2-bb95-92978523a03b · outbound

This paper cites and Liu, W.

A Kinetic Energy Perspective of Flow Matching and Liu, W

Reference 40

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no resolver link, observed 2026-08-03T03:31:36.987447Z

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source=arxiv_source observed=2026-08-03T03:31:36.987447Z digest=sha256:6f703d03959680dea39a46fe7f20b74b226ff889c3fe7b4b4641b2cbb323fc5e

Observation 98079c33-444b-4093-9d25-8b5d270d9658 · outbound

This paper cites write newline.

A Kinetic Energy Perspective of Flow Matching write newline

Reference 41

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no resolver link, observed 2026-08-03T03:31:36.991787Z

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source=arxiv_source observed=2026-08-03T03:31:36.991787Z digest=sha256:6e9a239f49f6c24eb039b934ed60f55f99a0de339834cf2380a26150a92102fa

Pith citing papers

Observation ea8da5fb-4e2d-4cf5-a4f2-2fcfbf1ca6b1 · inbound

Sharpen Your Flow: Sharpness-Aware Sampling for Flow Matching cites this paper.

Sharpen Your Flow: Sharpness-Aware Sampling for Flow Matching A Kinetic Energy Perspective of Flow Matching

Reference 20

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verified exact
arxiv_id, observed 2026-06-01T02:02:27.401334Z

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

source=pdf_text observed=2026-05-13T02:20:05.185298Z digest=sha256:cd1cd8ef7d01ef6f40650c67679c66bebd452beeba5000a15ca87bf61afda650