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Paper Citation Record · LEDGER

Adapting Noise to Data: Generative Flows from 1D Processes

As of 9 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2510.12636.

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

pith.paper-citation-record.v1
2510.12636 v5

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:00:55.085125Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

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Reference resolution

41 of 41 outbound references displayed

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Outbound references

Observation 62803bab-5b15-4288-8346-a1f2d849ff86 · outbound

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

Adapting Noise to Data: Generative Flows from 1D Processes Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 1

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Observation e200a7c0-e0e2-467e-a382-7e03f2467213 · outbound

This paper cites Ambrosio, N.

Adapting Noise to Data: Generative Flows from 1D Processes Ambrosio, N

Reference 2

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Observation 02459283-8c77-43ed-85b8-76d84ef55c14 · outbound

This paper cites Bartosh, D.

Adapting Noise to Data: Generative Flows from 1D Processes Bartosh, D

Reference 3

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Observation d3aab1a9-e6d3-4907-9d24-cdfdb267116c · outbound

This paper cites Blessing, J.

Adapting Noise to Data: Generative Flows from 1D Processes Blessing, J

Reference 4

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Observation 0083e531-9d70-49fc-8f73-460dacb8bc8d · outbound

This paper cites Blessing, X.

Adapting Noise to Data: Generative Flows from 1D Processes Blessing, X

Reference 5

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Observation b5d32b41-d65d-4d50-a754-ce222ece2dfb · outbound

This paper cites Cattaneo.

Adapting Noise to Data: Generative Flows from 1D Processes Cattaneo

Reference 6

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source=pdf_text observed=2026-08-04T10:00:50.580068Z digest=sha256:fbbfee14affbc7e28a7a0d6aa491f9c17a7dfcd66b0ad3312cfb296ee144cbd4

Observation 9ab5f95a-8f1e-4694-b670-d13a96e6897a · outbound

This paper cites an unresolved cited work.

Adapting Noise to Data: Generative Flows from 1D Processes Unresolved cited work

Reference 7

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Observation 83de25cb-30af-4d5c-a17f-dc938f802add · outbound

This paper cites an unresolved cited work.

Adapting Noise to Data: Generative Flows from 1D Processes Unresolved cited work

Reference 8

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Observation cd22a4c0-aa14-4d97-a851-29e66cd531cd · outbound

This paper cites DiffusionmodelsbeatGANsonimagesynthesis.

Adapting Noise to Data: Generative Flows from 1D Processes DiffusionmodelsbeatGANsonimagesynthesis

Reference 9

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Observation 0b8de371-6c1e-469a-be6a-55a22b36de5a · outbound

This paper cites Telegrapher's Generative Model via Kac Flows.

Adapting Noise to Data: Generative Flows from 1D Processes Telegrapher's Generative Model via Kac Flows

Reference 10

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Observation 89622664-93fc-48df-8556-d7339a5d18f2 · outbound

This paper cites Wasserstein Gradient Flows of MMD Functionals with Distance Kernel and Cauchy Problems on Quantile Functions.

Adapting Noise to Data: Generative Flows from 1D Processes Wasserstein Gradient Flows of MMD Functionals with Distance Kernel and Cauchy Problems on Quantile Functions

Reference 11

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Observation ed7c773c-6f8f-4310-92d3-eeb831733430 · outbound

This paper cites Durkan, A.

Adapting Noise to Data: Generative Flows from 1D Processes Durkan, A

Reference 12

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Observation da528e1a-ba67-4b38-8497-ce9b35ebbf4c · outbound

This paper cites Flamary, N.

Adapting Noise to Data: Generative Flows from 1D Processes Flamary, N

Reference 13

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Observation 14115a8a-1196-4e91-8e71-30d07c0111ef · outbound

This paper cites Gregory and R.

Adapting Noise to Data: Generative Flows from 1D Processes Gregory and R

Reference 14

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Observation eeb8037a-2770-49ef-9030-4144f536b74a · outbound

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Adapting Noise to Data: Generative Flows from 1D Processes Unresolved cited work

Reference 15

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Observation c6e86fa2-ea8b-4145-9be5-ad0e04057f11 · outbound

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Adapting Noise to Data: Generative Flows from 1D Processes Unresolved cited work

Reference 16

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Observation 983ced96-859f-404a-879b-59b35a61719d · outbound

This paper cites Hertrich, M.

Adapting Noise to Data: Generative Flows from 1D Processes Hertrich, M

Reference 17

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Observation 319b2030-ea68-4429-87dd-5351d15020ef · outbound

This paper cites Heusel, H.

Adapting Noise to Data: Generative Flows from 1D Processes Heusel, H

Reference 18

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Observation a2967bf2-e831-450f-ae0e-6aa249dd8560 · outbound

This paper cites an unresolved cited work.

Adapting Noise to Data: Generative Flows from 1D Processes Unresolved cited work

Reference 19

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Observation 37908df9-3544-452b-a663-8710d2d5bda9 · outbound

This paper cites Metric Flow Matching for Smooth Interpolations on the Data Manifold.

Adapting Noise to Data: Generative Flows from 1D Processes Metric Flow Matching for Smooth Interpolations on the Data Manifold

Reference 20

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Observation 4620902f-a0d5-4f26-8d5c-f370c9ebaa89 · outbound

This paper cites an unresolved cited work.

Adapting Noise to Data: Generative Flows from 1D Processes Unresolved cited work

Reference 21

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Observation 9ce7ac5f-4794-44e9-90fe-4d23b138caa2 · outbound

This paper cites Lipman, R.

Adapting Noise to Data: Generative Flows from 1D Processes Lipman, R

Reference 22

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Observation 80a7c87f-e373-41b2-9028-6597aa43309f · outbound

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

Adapting Noise to Data: Generative Flows from 1D Processes Rectified Flow: A Marginal Preserving Approach to Optimal Transport

Reference 23

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Observation 678a05e4-4487-46df-a93c-8fb0ba1e4cda · outbound

This paper cites an unresolved cited work.

Adapting Noise to Data: Generative Flows from 1D Processes Unresolved cited work

Reference 24

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Observation 8607246d-d668-4a9f-9c57-5ec1d8984a84 · outbound

This paper cites Pandey, J.

Adapting Noise to Data: Generative Flows from 1D Processes Pandey, J

Reference 25

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Observation 242674c5-a171-49b8-a185-2ed6a35f245c · outbound

This paper cites Pidstrigach.

Adapting Noise to Data: Generative Flows from 1D Processes Pidstrigach

Reference 26

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Observation 67d99704-a59a-4d4c-be18-87271aa58293 · outbound

This paper cites Pooladian, H.

Adapting Noise to Data: Generative Flows from 1D Processes Pooladian, H

Reference 27

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Observation 04aee42b-49af-4ab1-b82a-e2c81c74abd7 · outbound

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Adapting Noise to Data: Generative Flows from 1D Processes Unresolved cited work

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Observation b14e475a-3b10-46fa-badc-6737fd043b77 · outbound

This paper cites Salmona, V.

Adapting Noise to Data: Generative Flows from 1D Processes Salmona, V

Reference 29

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Observation 2fb2f62a-2271-4a9e-be88-3ce2355d8168 · outbound

This paper cites Shariatian, U.

Adapting Noise to Data: Generative Flows from 1D Processes Shariatian, U

Reference 30

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Observation 6914a365-8461-4c22-89ad-3450b5dec440 · outbound

This paper cites Shariatian, U.

Adapting Noise to Data: Generative Flows from 1D Processes Shariatian, U

Reference 31

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Observation d6f77fd1-57a2-471c-9420-ecc1e0c2a570 · outbound

This paper cites Sohl-Dickstein, E.

Adapting Noise to Data: Generative Flows from 1D Processes Sohl-Dickstein, E

Reference 32

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Observation f1df7d16-e4c3-4fbb-8d7e-558085154be6 · outbound

This paper cites Denoising Diffusion Implicit Models.

Adapting Noise to Data: Generative Flows from 1D Processes Denoising Diffusion Implicit Models

Reference 33

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Observation eec1a305-88d1-4165-bbe7-ffb7bdaf7b22 · outbound

This paper cites Generative Modeling by Estimating Gradients of the Data Distribution.

Adapting Noise to Data: Generative Flows from 1D Processes Generative Modeling by Estimating Gradients of the Data Distribution

Reference 34

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Observation fb50cc40-5c41-4759-9f0e-76b6ca55400e · outbound

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Adapting Noise to Data: Generative Flows from 1D Processes Unresolved cited work

Reference 35

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Observation 3e185b1b-02b4-47c2-a469-7042ccc52ba5 · outbound

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Adapting Noise to Data: Generative Flows from 1D Processes Unresolved cited work

Reference 36

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Observation 2f3d1b4d-3348-4417-9967-dc776131460a · outbound

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Adapting Noise to Data: Generative Flows from 1D Processes Unresolved cited work

Reference 37

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Observation dd9fe281-c696-40ce-8ef2-ff1058e28a7d · outbound

This paper cites Vernotte.

Adapting Noise to Data: Generative Flows from 1D Processes Vernotte

Reference 38

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Observation 361fe9bf-4741-443a-9951-8381b14e1478 · outbound

This paper cites Wald and G.

Adapting Noise to Data: Generative Flows from 1D Processes Wald and G

Reference 39

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Observation 62b57005-8382-432b-8ad1-6e229bfe77f6 · outbound

This paper cites Zhang, H.

Adapting Noise to Data: Generative Flows from 1D Processes Zhang, H

Reference 40

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Observation c97e794e-4d0e-4bbd-8aef-7bc6aaa4c90e · outbound

This paper cites inductive bootstrapping.

Adapting Noise to Data: Generative Flows from 1D Processes inductive bootstrapping

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