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Paper Citation Record · LEDGER

Flow map matching with stochastic interpolants: A mathematical framework for consistency models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2406.07507.

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

pith.paper-citation-record.v1
2406.07507 v2

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 42 of 42 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:54:50.450852Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:09:58.778148Z

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b248fa5e-d829-4127-905a-fac5fbfb67d2 · inbound

One Step Diffusion via Shortcut Models cites this paper.

One Step Diffusion via Shortcut Models Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 3

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arxiv_id, observed 2026-05-15T06:40:55.437464Z

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

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Observation b61cec43-fa2c-412c-b6fa-14960941cdc8 · inbound

Mean Flows for One-step Generative Modeling cites this paper.

Mean Flows for One-step Generative Modeling Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 3

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arxiv_id, observed 2026-05-11T14:29:30.069714Z

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

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Observation 188ff863-4275-4b9d-9542-45d11f571b2d · inbound

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach cites this paper.

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 227

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no resolver link, observed 2026-08-07T10:54:50.450852Z

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source=pdf_text observed=2026-08-07T10:54:50.450852Z digest=sha256:4fdb1ba507279ab1e9636b376d651c655be8fd93be9b07b592ae6e9c7fdd6c67

Observation ffc8f9e7-cb9e-492a-af0e-0bccb47cd800 · inbound

Populate-A-Scene: Affordance-Aware Human Video Generation cites this paper.

Populate-A-Scene: Affordance-Aware Human Video Generation Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 2023

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source=pdf_text observed=2026-08-06T21:23:12.674110Z digest=sha256:49b9910b6b6b2e3e6207c82dd289132c72c15118f8027e5648b41568798da67c

Observation c529af70-2071-423e-a1d0-04b8d0dc95bf · inbound

The Principles of Diffusion Models cites this paper.

The Principles of Diffusion Models Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 3

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arxiv_id, observed 2026-05-17T23:57:26.810350Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-17T23:57:26.782239Z digest=sha256:753c2797b0608a8d6f71ffd796b8b456de20daf68f1869179b111980da8f45af

Observation 5f8d19c3-5183-4300-a36c-6d7c3c4df44d · inbound

The Principles of Diffusion Models cites this paper.

The Principles of Diffusion Models Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 81

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no resolver link, observed 2026-08-04T08:26:48.907463Z

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source=pdf_text observed=2026-08-04T08:26:48.907463Z digest=sha256:d9b15ad02518097cd840e59b13136d6ff59cee68e5d834406a0a7237de3dbd54

Observation e4e3937a-6ddb-4bc9-b4e2-1c1b8dd23a6a · inbound

Understanding, Accelerating, and Improving MeanFlow Training cites this paper.

Understanding, Accelerating, and Improving MeanFlow Training Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 6

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no resolver link, observed 2026-08-03T20:39:16.034263Z

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source=pdf_text observed=2026-08-03T20:39:16.034263Z digest=sha256:2b3908f339eb3a751dd453d6e8fae8f20f34aa477b3faf929350b272ed079c5f

Observation 815ee1f0-7fcf-4523-8663-c5fd46807d92 · inbound

DASIP: Dynamic Test-Time Compute Scaling for Robot Control with Stochastic Interpolant Policies cites this paper.

DASIP: Dynamic Test-Time Compute Scaling for Robot Control with Stochastic Interpolant Policies Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 14

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no resolver link, observed 2026-08-03T20:13:25.528945Z

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source=pdf_text observed=2026-08-03T20:13:25.528945Z digest=sha256:3e83682f823f403f55c1eb65937f0f0c2bac682d2ef124e5f0f9044b59469143

Observation 7c9896cd-9de2-426c-a24e-ad087c5a7aad · inbound

Transition Matching Distillation for Fast Video Generation cites this paper.

Transition Matching Distillation for Fast Video Generation Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 4

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no resolver link, observed 2026-08-03T10:35:04.301885Z

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source=pdf_text observed=2026-08-03T10:35:04.301885Z digest=sha256:3278e4e8f2c877e2cf698bb94aeefc961de81e886ff8a725f9f7578dfc4d81fb

Observation b8f550d7-d404-42d8-ab94-19c15da0d03f · inbound

Dual-End Consistency Model cites this paper.

Dual-End Consistency Model Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 2

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arxiv_id, observed 2026-05-16T05:40:39.805067Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-16T05:40:36.406150Z digest=sha256:d1255d39946d93f9bab42247eb78243e54418896480cc6ded4eb0ed4449180ba

Observation be76e134-b5e6-47a3-b000-1626d3308896 · inbound

Dual-End Consistency Model cites this paper.

Dual-End Consistency Model Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 2

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no resolver link, observed 2026-08-03T01:04:19.098193Z

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source=pdf_text observed=2026-08-03T01:04:19.098193Z digest=sha256:988bf16584b087baa2776b638208b57eba7ddd69581ba7603430dcdfdbd8adb0

Observation 0aaae9b8-1c89-47d6-9ac6-bbb6a27556c9 · inbound

Flow Map Language Models: One-step Language Modeling via Continuous Denoising cites this paper.

Flow Map Language Models: One-step Language Modeling via Continuous Denoising Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 19

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arxiv_id, observed 2026-05-15T21:10:19.141777Z

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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=2026-05-15T21:01:42.916835Z digest=sha256:03ede87611c61c6fae3d60b511ee99b4716cd01b14681f6c7157f96e25f02317

Observation aa8c561c-4d32-4586-bb38-0a0c0e5bee5d · inbound

Flow Map Language Models: One-step Language Modeling via Continuous Denoising cites this paper.

Flow Map Language Models: One-step Language Modeling via Continuous Denoising Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 19

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arxiv_id, observed 2026-05-21T12:24:10.536158Z

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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=2026-05-21T12:23:49.031978Z digest=sha256:3c5a48d635de353d090d965e891fe9c6f6c63177fa8d3ebde91094a0e9350b34

Observation 39e23870-9aba-4025-a232-a34a67deefc7 · inbound

A Unified View of Score-Based and Drifting Models cites this paper.

A Unified View of Score-Based and Drifting Models Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 9

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arxiv_id, observed 2026-05-21T11:20:02.409595Z

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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=2026-05-21T11:16:40.943923Z digest=sha256:612a5c2286ea9c18323b1739e2c9b4fdc90696889f68800e5e178ade7350bc3a

Observation 3aa9f68c-52bd-425d-b0e9-f44bb4b9f550 · inbound

Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video Generation cites this paper.

Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video Generation Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 1

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arxiv_id, observed 2026-05-13T19:43:11.474931Z

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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=2026-05-13T19:38:54.942114Z digest=sha256:abecf54dcfcdebc5a80235d00ccc4420275ae8c8ba6cb7be53e3ab573145fcff

Observation 75f3aafe-983f-47d8-994c-ad3bdce89531 · inbound

Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video Generation cites this paper.

Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video Generation Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 2

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no resolver link, observed 2026-07-13T13:36:01.141666Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T13:36:01.141666Z digest=sha256:cb0a2bfa2fa1cfb07740e1b7e3060573f13bf9c55fc71d828bb894dbb5e65b6a

Observation 8f9b44df-9521-44c1-ba3b-9d0814371675 · inbound

Isokinetic Flow Matching for Pathwise Straightening of Generative Flows cites this paper.

Isokinetic Flow Matching for Pathwise Straightening of Generative Flows Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 1

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arxiv_id, observed 2026-05-10T23:55:50.834757Z

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

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Observation 4b7e82e1-3542-414a-bfb0-f52f343bf903 · inbound

ODE-free Neural Flow Matching for One-Step Generative Modeling cites this paper.

ODE-free Neural Flow Matching for One-Step Generative Modeling Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 3

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arxiv_id, observed 2026-05-10T22:15:48.681023Z

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

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Observation 1bc96222-4364-4cf7-ae98-ea8facf8012c · inbound

Perron-Frobenius Contractive Operator Matching for Data-Driven Reachable Fault Identification and Recovery cites this paper.

Perron-Frobenius Contractive Operator Matching for Data-Driven Reachable Fault Identification and Recovery Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 24

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arxiv_id, observed 2026-05-10T10:24:21.563694Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T10:20:50.814155Z digest=sha256:4a1038c4bf7819bd992c73b96d01945ad91995c0d5c41261616f1d422fa64128

Observation 7e20a4bd-f721-42c0-a456-4ee2efadd77e · inbound

Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation cites this paper.

Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 8

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arxiv_id, observed 2026-05-10T09:33:41.639906Z

Source-reported events for the cited work

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

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Observation 6026c3eb-cf19-4ede-b171-2eaea5174626 · inbound

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance cites this paper.

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 23

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arxiv_id, observed 2026-05-12T09:46:26.613298Z

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

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Observation be6df56a-5633-4d87-8d8d-663cd8414627 · inbound

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance cites this paper.

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 23

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arxiv_id, observed 2026-05-21T09:29:57.175164Z

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

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Observation 765b9fac-97f9-41f5-86db-43f238614cce · inbound

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance cites this paper.

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 23

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arxiv_id, observed 2026-07-01T08:25:33.247400Z

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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=2026-07-01T08:19:37.044714Z digest=sha256:f57a9bab40b5bdca05b9db6ebf8e40b98f841cf7b8919ac336bcbae047dc4679

Observation e62141a4-32c7-482c-bfeb-c58b86db2325 · inbound

Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models cites this paper.

Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 1

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arxiv_id, observed 2026-05-20T22:29:09.757387Z

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

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Observation 10028462-1a10-4473-8464-6d9e58cb6249 · inbound

DriftXpress: Faster Drifting Models via Projected RKHS Fields cites this paper.

DriftXpress: Faster Drifting Models via Projected RKHS Fields Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 2

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arxiv_id, observed 2026-05-13T07:07:27.163163Z

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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=2026-05-13T07:06:19.670219Z digest=sha256:0601d9ffc5b90b734b5011f8490f11f337f7c9b84ef28aa17400cc60377072a0

Observation 2fb54d6d-6a0d-43a8-a52a-8127e2ad3685 · inbound

DriftXpress: Faster Drifting Models via Projected RKHS Fields cites this paper.

DriftXpress: Faster Drifting Models via Projected RKHS Fields Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 2023

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no resolver link, observed 2026-08-02T14:17:35.938686Z

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Unavailable: canonical work link unavailable.

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Observation 81b1b6de-7592-450c-9bf0-89c48a077c04 · inbound

AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation cites this paper.

AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 12

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arxiv_id, observed 2026-05-14T20:07:53.955720Z

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Observation 1ebd693f-92cc-4442-94ab-579cb5424481 · inbound

Measure-to-measure Regression with Transformers cites this paper.

Measure-to-measure Regression with Transformers Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 3

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arxiv_id, observed 2026-06-29T14:53:31.324398Z

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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=2026-06-29T14:46:53.510044Z digest=sha256:ae829c4d97490f51307e54b9b7ac59eeaa59fe527c1bdd7991da3be4bfaa318f

Observation 99aa2cb5-dc54-4738-ae0a-a0bd45165b95 · inbound

Strong Stochastic Flow Maps cites this paper.

Strong Stochastic Flow Maps Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 20

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arxiv_id, observed 2026-07-01T20:46:13.797069Z

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source=arxiv_source observed=2026-06-28T17:44:51.785713Z digest=sha256:66687e595a45b136ac0f3938bbc87d56a1e34876bc1214a48ab8b4c32ee21c78

Observation 76b3d664-cf2f-4be7-9a15-4f8494035508 · inbound

Hacking Generative Perplexity: Why Unconditional Text Evaluation Needs Distributional Metrics cites this paper.

Hacking Generative Perplexity: Why Unconditional Text Evaluation Needs Distributional Metrics Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 3

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arxiv_id, observed 2026-07-02T22:27:26.094866Z

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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=2026-06-27T18:53:01.285453Z digest=sha256:f9659a15779041fa860d50bcbd378dc0e948ef1780196285c80847407aa5c240

Observation 8564448c-7789-4cef-86a8-e9b923f93d3b · inbound

Hacking Generative Perplexity: Why Unconditional Text Evaluation Needs Distributional Metrics cites this paper.

Hacking Generative Perplexity: Why Unconditional Text Evaluation Needs Distributional Metrics Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 2003

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no resolver link, observed 2026-08-04T04:51:23.075176Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:51:23.075176Z digest=sha256:76e9876ec250fcf94fdcc022d24f0078fbd1fe9aa188b8fd3a873e0dedb6ef4e

Observation c6298cf3-2d12-4fc4-bfd2-77938ed01d10 · inbound

Fast and Highly Expressive Policy Learning for Offline Reinforcement Learning via Bootstrapped Flow Q-Learning cites this paper.

Fast and Highly Expressive Policy Learning for Offline Reinforcement Learning via Bootstrapped Flow Q-Learning Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 2

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arxiv_id, observed 2026-07-03T04:27:36.357075Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-27T13:57:31.180928Z digest=sha256:66e6bab633b2cd682affb8db48fcfcbbe5dad1d563870ca032949095fa83d08d

Observation b615b6d3-c911-4b00-b2ba-4a6f287c0fc7 · inbound

Posterior Refinement: Fast Language Generation via Any-Order Flow Maps cites this paper.

Posterior Refinement: Fast Language Generation via Any-Order Flow Maps Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 28

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arxiv_id, observed 2026-07-04T17:09:58.779621Z

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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=2026-06-25T23:55:07.047233Z digest=sha256:fcf62fba9f04ecd22de45425454470a5ea7889030a0bd290d84856451b1ac7c7

Observation 0186df77-730b-4e21-9aaa-3660236757fd · inbound

Flow Reasoning Models: Scaling Reasoning Through Iterative Self-Refinement cites this paper.

Flow Reasoning Models: Scaling Reasoning Through Iterative Self-Refinement Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 3

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arxiv_id, observed 2026-06-30T08:04:28.445921Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T07:55:28.254309Z digest=sha256:ec5e09f517bfc64ca004574e4bb4e6cc354710de480190a4c76dd85f2f8c098d

Observation 810381b1-6a6b-4327-a920-ae3df09b7979 · inbound

Diffusion Fine-tuning with Rewarded Moment Matching Distillation cites this paper.

Diffusion Fine-tuning with Rewarded Moment Matching Distillation Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 2

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verified exact
arxiv_id, observed 2026-06-30T07:14:21.811812Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T06:56:00.246628Z digest=sha256:105faddc4ca9a7981796574caca681375530c6c30d261dad41cb2650df3db0a2

Observation 81bcdaef-9113-435f-9db1-c9e62d86904d · inbound

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers cites this paper.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-11T13:03:39.236118Z

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source=arxiv_source observed=2026-07-11T13:03:39.236118Z digest=sha256:8b280ff7b40c52c4da3f6b54fd2726cfd065a484ae070a2c1c18ecd01d908096

Observation 4b39a425-4f0b-4358-a237-b4e2fbf7be7f · inbound

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers cites this paper.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-14T16:21:05.570023Z

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:8dbe0f3fde7fab58f96929f6b97f4fc93094f121cf003a076f5a79cfb8d98c39

Observation 7f15b8b4-c9df-44f7-92e7-22c38a5a840e · inbound

FlowCTS: On-policy Continuous Trajectory Supervision of Flow Models cites this paper.

FlowCTS: On-policy Continuous Trajectory Supervision of Flow Models Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-31T12:31:28.095463Z

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source=pdf_text observed=2026-07-31T12:31:28.095463Z digest=sha256:a1cd60fb7d046d1efcf1a2ba6baa30fe3cfc022fcf1bab1de2b71b5ebd4d5e78

Observation 2f190f04-30ce-4a46-9e4b-c226f7c3ad8e · inbound

Parallel Decoding Distillation for Fast Image and Video Generation cites this paper.

Parallel Decoding Distillation for Fast Image and Video Generation Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 3

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unresolved
no resolver link, observed 2026-08-01T00:57:36.140283Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:57:36.140283Z digest=sha256:5115e25235311fbf7b0a680119ccaabcdbbf5f839b2616cce9da5b749237850c

Observation a1bfed6d-36d5-461b-98d6-88e96686ca22 · inbound

Flow Map Learning via Nongradient Vector Flow cites this paper.

Flow Map Learning via Nongradient Vector Flow Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 44

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no resolver link, observed 2026-08-01T16:53:44.442074Z

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source=arxiv_source observed=2026-08-01T16:53:44.442074Z digest=sha256:fda7fdb21068a763fd6ea05b4d5bae630c8b0054bbd372f3859be3c4d6b43d8a

Observation c315670e-3d44-4f5c-8638-fac345c28baa · inbound

Amortized Moment Matching for Visual Generation cites this paper.

Amortized Moment Matching for Visual Generation Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-30T18:58:27.967687Z

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source=arxiv_source observed=2026-07-30T18:58:27.967687Z digest=sha256:adcf5c5248004198c79392f91af5e44d59f3dbef065306a225c64499c95fed67

Observation 4815d86c-5a83-49ce-b5a5-f9b7a17c3be8 · inbound

Beckmann Transport Models: From Autonomous Flows to One-Step Maps cites this paper.

Beckmann Transport Models: From Autonomous Flows to One-Step Maps Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 2000

Resolution
unresolved
no resolver link, observed 2026-08-07T00:16:54.917604Z

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source=pdf_text observed=2026-08-07T00:16:54.917604Z digest=sha256:db43da1e838568a9d33f83bc342dd1ed9582e54e9e973442a2028d880a04a63b