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Paper Citation Record · LEDGER

Heavy-Tailed Flow Matching via Random Clocks

As of 9 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2607.13841.

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

pith.paper-citation-record.v1
2607.13841 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T03:38:46.741276Z

measured 46 of 46 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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Outbound references

Observation 3c5f7007-c290-4138-90c6-2b7a4873ae91 · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Heavy-Tailed Flow Matching via Random Clocks Building Normalizing Flows with Stochastic Interpolants

Reference 1

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Observation 367ce6eb-f81e-4212-9832-94c41901b216 · outbound

This paper cites an unresolved cited work.

Heavy-Tailed Flow Matching via Random Clocks Unresolved cited work

Reference 2

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Observation bced0022-e271-4b1b-b68c-9c09ad10a21c · outbound

This paper cites Barndorff-Nielsen, J.

Heavy-Tailed Flow Matching via Random Clocks Barndorff-Nielsen, J

Reference 3

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Observation f66e837d-a41c-4171-b7de-e2767d13149f · outbound

This paper cites Generative modelling with jump-diffusions.arXiv preprint arXiv:2503.06558, 2025.

Heavy-Tailed Flow Matching via Random Clocks Generative modelling with jump-diffusions.arXiv preprint arXiv:2503.06558, 2025

Reference 4

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Observation 54a92a04-ed26-4edf-a2c4-743867d706d5 · outbound

This paper cites A north american hourly assimilation and model forecast cycle: The rapid refresh.Monthly Weather Review, 144(4):1669–1694, 2016.

Heavy-Tailed Flow Matching via Random Clocks A north american hourly assimilation and model forecast cycle: The rapid refresh.Monthly Weather Review, 144(4):1669–1694, 2016

Reference 5

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Observation f48372d5-7673-4991-beb7-457b14c60d97 · outbound

This paper cites Learning imbal- anced datasets with label-distribution-aware margin loss.

Heavy-Tailed Flow Matching via Random Clocks Learning imbal- anced datasets with label-distribution-aware margin loss

Reference 6

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Observation 987ee2f2-5206-43e0-86f4-7173cf2fcb62 · outbound

This paper cites A primer on the signature method in machine learning.

Heavy-Tailed Flow Matching via Random Clocks A primer on the signature method in machine learning

Reference 7

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Observation 3e10eb2b-d4da-4211-9072-9603c1cc32ea · outbound

This paper cites Springer, 2001.

Heavy-Tailed Flow Matching via Random Clocks Springer, 2001

Reference 8

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Observation a9b7b18c-db1f-42f6-9bcf-c0ba8efa0c96 · outbound

This paper cites Empirical properties of asset returns: stylized facts and statistical issues.

Heavy-Tailed Flow Matching via Random Clocks Empirical properties of asset returns: stylized facts and statistical issues

Reference 9

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Observation 782518d9-f6c7-4e59-b875-64a523681c80 · outbound

This paper cites Tail-gan: Learning to simulate tail risk scenarios.Management Science, 72(4):2917–2936, 2026.

Heavy-Tailed Flow Matching via Random Clocks Tail-gan: Learning to simulate tail risk scenarios.Management Science, 72(4):2917–2936, 2026

Reference 10

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Observation ccd04478-b9fd-4294-b9e7-1247e62701a6 · outbound

This paper cites Universal approximation theorems for continuous functions of c` adl` ag paths and l´ evy-type signature models.Finance and Stochastics, 29(2):289–342, 2025.

Heavy-Tailed Flow Matching via Random Clocks Universal approximation theorems for continuous functions of c` adl` ag paths and l´ evy-type signature models.Finance and Stochastics, 29(2):289–342, 2025

Reference 11

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Observation f1b96006-2455-4458-8d27-4097a95d8b51 · outbound

This paper cites The high-resolution rapid refresh (hrrr): An hourly updating convection-allowing forecast model.

Heavy-Tailed Flow Matching via Random Clocks The high-resolution rapid refresh (hrrr): An hourly updating convection-allowing forecast model

Reference 12

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Observation a335096c-34a8-4059-9a64-87aca37dc2fc · outbound

This paper cites Springer Science & Business Media, 2013.

Heavy-Tailed Flow Matching via Random Clocks Springer Science & Business Media, 2013

Reference 13

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Observation d301e4b5-8978-4328-9302-785e20983bc5 · outbound

This paper cites Generative adversarial nets.

Heavy-Tailed Flow Matching via Random Clocks Generative adversarial nets

Reference 14

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Observation d9de53f0-b1d7-4ed4-91ca-55b3b125a0ae · outbound

This paper cites Rarest rainfall events will see the greatest relative increase in magnitude under future climate change.Communications Earth & Environment, 3(1):235, 2022.

Heavy-Tailed Flow Matching via Random Clocks Rarest rainfall events will see the greatest relative increase in magnitude under future climate change.Communications Earth & Environment, 3(1):235, 2022

Reference 15

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Observation d2e60fe2-84a0-4c82-a4d7-0e77e0313643 · outbound

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

Heavy-Tailed Flow Matching via Random Clocks Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 16

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Observation 64b69df2-24dc-4a32-9c39-7374e95c5b4e · outbound

This paper cites Flexible tails for normalizing flows.

Heavy-Tailed Flow Matching via Random Clocks Flexible tails for normalizing flows

Reference 17

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Observation 190de4e4-53a0-4978-9bce-f84ce859b9a0 · outbound

This paper cites Denoising diffusion probabilistic models.

Heavy-Tailed Flow Matching via Random Clocks Denoising diffusion probabilistic models

Reference 18

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Observation c8e9555a-2c31-41a8-ae9f-a554fdcf6809 · outbound

This paper cites Tails of Lipschitz tri- angular flows.

Heavy-Tailed Flow Matching via Random Clocks Tails of Lipschitz tri- angular flows

Reference 19

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Observation a735eaee-e7e6-4786-9cb5-0712a4bda252 · outbound

This paper cites Deep signature transforms.Advances in neural information processing systems, 32, 2019.

Heavy-Tailed Flow Matching via Random Clocks Deep signature transforms.Advances in neural information processing systems, 32, 2019

Reference 20

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Observation 91a5ee79-221b-458d-b4ae-468bd2518670 · outbound

This paper cites an unresolved cited work.

Heavy-Tailed Flow Matching via Random Clocks Unresolved cited work

Reference 21

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Observation ff3ec671-a1c7-4b30-87c1-ad18796b78b9 · outbound

This paper cites Kingma and Max Welling.

Heavy-Tailed Flow Matching via Random Clocks Kingma and Max Welling

Reference 22

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Observation 6644aa35-9854-4280-b8a6-b23582b091cd · outbound

This paper cites Kiraly and Harald Oberhauser.

Heavy-Tailed Flow Matching via Random Clocks Kiraly and Harald Oberhauser

Reference 23

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Observation dcf94824-503a-418e-98d0-5b558140994a · outbound

This paper cites Optimal flow matching: Learning straight trajectories in just one step.Advances in Neural Information Processing Systems, 37:104180–104204, 2024.

Heavy-Tailed Flow Matching via Random Clocks Optimal flow matching: Learning straight trajectories in just one step.Advances in Neural Information Processing Systems, 37:104180–104204, 2024

Reference 24

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Observation 2ffa9e3b-70b1-4a4a-8b3b-09ca56f607a1 · outbound

This paper cites Neural operator: Learning maps between func- tion spaces with applications to pdes.Journal of Machine Learning Research, 24(89):1–97, 2023.

Heavy-Tailed Flow Matching via Random Clocks Neural operator: Learning maps between func- tion spaces with applications to pdes.Journal of Machine Learning Research, 24(89):1–97, 2023

Reference 25

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Observation cd386a98-7323-47a4-8b69-abbf7c2bd0d0 · outbound

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

Heavy-Tailed Flow Matching via Random Clocks Learning multiple layers of features from tiny images

Reference 26

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Observation 59421cc5-a473-4032-826e-4d2779d47d3c · outbound

This paper cites Learning from the past, predicting the statistics for the future, learning an evolving system.

Heavy-Tailed Flow Matching via Random Clocks Learning from the past, predicting the statistics for the future, learning an evolving system

Reference 27

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Observation 861679dd-abea-4630-b277-6fcfd639687e · outbound

This paper cites Cauchy diffusion: A heavy-tailed denoising diffu- sion probabilistic model for speech synthesis.

Heavy-Tailed Flow Matching via Random Clocks Cauchy diffusion: A heavy-tailed denoising diffu- sion probabilistic model for speech synthesis

Reference 28

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Observation 43d60734-3e7d-44f7-99ea-5af22cea9b8e · outbound

This paper cites Flow Matching for Generative Modeling.

Heavy-Tailed Flow Matching via Random Clocks Flow Matching for Generative Modeling

Reference 29

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Observation dcc22b1c-8e00-45a0-a665-96e7af9771ac · outbound

This paper cites Rectified Flow: A Marginal Preserving Approach to Optimal Transport.

Heavy-Tailed Flow Matching via Random Clocks Rectified Flow: A Marginal Preserving Approach to Optimal Transport

Reference 30

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Observation 37e73aac-932e-4541-bf61-a995e24bcad2 · outbound

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

Heavy-Tailed Flow Matching via Random Clocks Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 31

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Observation 14c90ec9-d7da-4091-869f-a634fef2f5ec · outbound

This paper cites Large-scale long-tailed recognition in an open world.

Heavy-Tailed Flow Matching via Random Clocks Large-scale long-tailed recognition in an open world

Reference 32

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Observation 450a616d-29e2-47af-b742-bd8d02987c34 · outbound

This paper cites Rough paths, Signatures and the modelling of functions on streams.

Heavy-Tailed Flow Matching via Random Clocks Rough paths, Signatures and the modelling of functions on streams

Reference 33

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Observation 6b84dc22-1a27-4deb-9ab6-5585aa23e339 · outbound

This paper cites The Kolmogorov–Smirnov test for goodness of fit.Journal of the American Statistical Association, 46(253):68–78, 1951.

Heavy-Tailed Flow Matching via Random Clocks The Kolmogorov–Smirnov test for goodness of fit.Journal of the American Statistical Association, 46(253):68–78, 1951

Reference 34

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Observation a144deae-23b5-4774-b4db-ce84dd3c21a9 · outbound

This paper cites Neural rough differ- ential equations for long time series.

Heavy-Tailed Flow Matching via Random Clocks Neural rough differ- ential equations for long time series

Reference 35

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Observation 729329e4-abca-4209-84a0-461f4766b4c1 · outbound

This paper cites Heavy-Tailed Diffusion Models.

Heavy-Tailed Flow Matching via Random Clocks Heavy-Tailed Diffusion Models

Reference 36

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Observation aaae35c9-09ba-476c-b2f0-1d0ea6198294 · outbound

This paper cites FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

Heavy-Tailed Flow Matching via Random Clocks FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 37

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Observation 1d843bdd-adce-4f5e-8ae4-151358463817 · outbound

This paper cites Multisample Flow Matching: Straightening Flows with Minibatch Couplings.

Heavy-Tailed Flow Matching via Random Clocks Multisample Flow Matching: Straightening Flows with Minibatch Couplings

Reference 38

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This paper cites Improved sampling algorithms for l´ evy-itˆ o diffusion models.

Heavy-Tailed Flow Matching via Random Clocks Improved sampling algorithms for l´ evy-itˆ o diffusion models

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Observation 1c6dd904-ffc3-4551-93db-adcfd9c7df51 · outbound

This paper cites Springer, 2007.

Heavy-Tailed Flow Matching via Random Clocks Springer, 2007

Reference 40

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Observation b55a5638-733d-4152-9e0e-13bb05375d11 · outbound

This paper cites an unresolved cited work.

Heavy-Tailed Flow Matching via Random Clocks Unresolved cited work

Reference 41

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Observation 47ce0411-cc17-4f2a-b1fd-0a67094ca9b6 · outbound

This paper cites Heavy-tailed diffusion with denoising levy probabilistic models.

Heavy-Tailed Flow Matching via Random Clocks Heavy-tailed diffusion with denoising levy probabilistic models

Reference 42

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no resolver link, observed 2026-08-02T03:38:46.239080Z

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Observation 9f002c21-85bd-44c6-9ddf-a33c5c5f597b · outbound

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

Heavy-Tailed Flow Matching via Random Clocks Score-Based Generative Modeling through Stochastic Differential Equations

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Observation 5a3e9913-7fbb-453f-8d12-c648be68ed33 · outbound

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

Heavy-Tailed Flow Matching via Random Clocks Improving and generalizing flow-based generative models with minibatch optimal transport

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Observation b70d55e3-86e0-4e4c-ac54-e51363b33ffb · outbound

This paper cites Score-based generative models with l´ evy processes.Advances in Neural Information Processing Systems, 36:40694– 40707, 2023.

Heavy-Tailed Flow Matching via Random Clocks Score-based generative models with l´ evy processes.Advances in Neural Information Processing Systems, 36:40694– 40707, 2023

Reference 45

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Observation e334c567-e477-442e-be86-dad10a382300 · outbound

This paper cites Long-tailed diffusion models with oriented calibration.

Heavy-Tailed Flow Matching via Random Clocks Long-tailed diffusion models with oriented calibration

Reference 46

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