Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T03:38:46.741276Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T03:38:46.741276Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
46 of 46 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 3c5f7007-c290-4138-90c6-2b7a4873ae91 · outbound
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
Heavy-Tailed Flow Matching via Random Clocks Unresolved cited work
Reference 2
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Observation bced0022-e271-4b1b-b68c-9c09ad10a21c · outbound
Heavy-Tailed Flow Matching via Random Clocks Barndorff-Nielsen, J
Reference 3
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Observation f66e837d-a41c-4171-b7de-e2767d13149f · outbound
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
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
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
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
Heavy-Tailed Flow Matching via Random Clocks Springer, 2001
Reference 8
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Observation a9b7b18c-db1f-42f6-9bcf-c0ba8efa0c96 · outbound
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
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
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
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
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
Heavy-Tailed Flow Matching via Random Clocks Generative adversarial nets
Reference 14
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Observation d9de53f0-b1d7-4ed4-91ca-55b3b125a0ae · outbound
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
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
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
Heavy-Tailed Flow Matching via Random Clocks Denoising diffusion probabilistic models
Reference 18
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Observation c8e9555a-2c31-41a8-ae9f-a554fdcf6809 · outbound
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
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
Heavy-Tailed Flow Matching via Random Clocks Unresolved cited work
Reference 21
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Observation ff3ec671-a1c7-4b30-87c1-ad18796b78b9 · outbound
Heavy-Tailed Flow Matching via Random Clocks Kingma and Max Welling
Reference 22
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Observation 6644aa35-9854-4280-b8a6-b23582b091cd · outbound
Heavy-Tailed Flow Matching via Random Clocks Kiraly and Harald Oberhauser
Reference 23
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Observation dcf94824-503a-418e-98d0-5b558140994a · outbound
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
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
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
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
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
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
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
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
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
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
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
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
Heavy-Tailed Flow Matching via Random Clocks Heavy-Tailed Diffusion Models
Reference 36
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Observation aaae35c9-09ba-476c-b2f0-1d0ea6198294 · outbound
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
Heavy-Tailed Flow Matching via Random Clocks Multisample Flow Matching: Straightening Flows with Minibatch Couplings
Reference 38
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Observation 0d1662b8-6408-4560-9544-c978ad7d8032 · outbound
Heavy-Tailed Flow Matching via Random Clocks Improved sampling algorithms for l´ evy-itˆ o diffusion models
Reference 39
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Observation 1c6dd904-ffc3-4551-93db-adcfd9c7df51 · outbound
Heavy-Tailed Flow Matching via Random Clocks Springer, 2007
Reference 40
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Observation b55a5638-733d-4152-9e0e-13bb05375d11 · outbound
Heavy-Tailed Flow Matching via Random Clocks Unresolved cited work
Reference 41
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Observation 47ce0411-cc17-4f2a-b1fd-0a67094ca9b6 · outbound
Heavy-Tailed Flow Matching via Random Clocks Heavy-tailed diffusion with denoising levy probabilistic models
Reference 42
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Observation 9f002c21-85bd-44c6-9ddf-a33c5c5f597b · outbound
Heavy-Tailed Flow Matching via Random Clocks Score-Based Generative Modeling through Stochastic Differential Equations
Reference 43
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Observation 5a3e9913-7fbb-453f-8d12-c648be68ed33 · outbound
Heavy-Tailed Flow Matching via Random Clocks Improving and generalizing flow-based generative models with minibatch optimal transport
Reference 44
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Observation b70d55e3-86e0-4e4c-ac54-e51363b33ffb · outbound
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
Heavy-Tailed Flow Matching via Random Clocks Long-tailed diffusion models with oriented calibration
Reference 46
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No inbound Pith citation observations are available.