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Paper Citation Record · LEDGER

Flow Map Learning via Nongradient Vector Flow

As of 1 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2607.26398.

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

pith.paper-citation-record.v1
2607.26398 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:53:44.453902Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-01T06:32:01.292127+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved49
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4a7f3cae-c836-44c0-a47a-421ef341f1b7 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Flow Map Learning via Nongradient Vector Flow Advances in Neural Information Processing Systems , volume=

Reference 1

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source=arxiv_source observed=2026-08-01T16:53:44.333768Z digest=sha256:3ecb2a080e28d954505687bde3bb0afa1502e4b7efc158e093fce045a0bc2dda

Observation a2eaed51-8e86-48b2-9436-cfb4bd300987 · outbound

This paper cites 2012 , publisher=.

Flow Map Learning via Nongradient Vector Flow 2012 , publisher=

Reference 2

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source=arxiv_source observed=2026-08-01T16:53:44.337513Z digest=sha256:58b28192f8f049b39d1b56586ba2bc483c619eb8598bc6df3dcdc84d8f41f31a

Observation d8050f7b-217c-4c33-85cd-4e5227b10180 · outbound

This paper cites The Journal of Machine Learning Research , volume=.

Flow Map Learning via Nongradient Vector Flow The Journal of Machine Learning Research , volume=

Reference 3

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source=arxiv_source observed=2026-08-01T16:53:44.340197Z digest=sha256:7f85205f12cc1f6e5688c70bf503a59118ab1f3fd0c072d46625818f6558c49f

Observation d6fdc8f3-c61a-4c3a-9645-0d5bc370ceb0 · outbound

This paper cites Inductive Moment Matching.

Flow Map Learning via Nongradient Vector Flow Inductive Moment Matching

Reference 4

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source=arxiv_source observed=2026-08-01T16:53:44.342664Z digest=sha256:47492ddc8bd1d5dbde3c5d8d01eff7a035f1cd90436f994cb73c99f10503bcf3

Observation 922f651d-265d-435b-9f6f-b810dd38aaea · outbound

This paper cites Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion.

Flow Map Learning via Nongradient Vector Flow Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion

Reference 5

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source=arxiv_source observed=2026-08-01T16:53:44.346244Z digest=sha256:fd169e1256de01e7757b59feaeb2ccf7be38346467907831aa3ae4bcea1ceb47

Observation d618316f-e5c9-4021-b877-5f736d553e57 · outbound

This paper cites Advances in neural information processing systems , volume=.

Flow Map Learning via Nongradient Vector Flow Advances in neural information processing systems , volume=

Reference 6

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source=arxiv_source observed=2026-08-01T16:53:44.349088Z digest=sha256:885e450c809bf720d3215730d90eb1ee64824bdc1d951be587487b75e9753718

Observation 9a59150e-8823-47b9-acf0-93a02852ca4e · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Flow Map Learning via Nongradient Vector Flow Progressive Distillation for Fast Sampling of Diffusion Models

Reference 7

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source=arxiv_source observed=2026-08-01T16:53:44.351730Z digest=sha256:b2223cf89d654fd9b348e413e087f77a96f2a51c935951261d661b762a8919a2

Observation ea501555-4b62-49cb-bc42-9c8f32302080 · outbound

This paper cites Improved Techniques for Training Consistency Models.

Flow Map Learning via Nongradient Vector Flow Improved Techniques for Training Consistency Models

Reference 8

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source=arxiv_source observed=2026-08-01T16:53:44.354561Z digest=sha256:a11d9afc8c6852934a95bcf0b14ff2428ef03be1820850beedb352ad5bb0d558

Observation 08b79f24-e3a1-4e95-bafe-297b7bb2c9aa · outbound

This paper cites Consistency Models.

Flow Map Learning via Nongradient Vector Flow Consistency Models

Reference 9

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source=arxiv_source observed=2026-08-01T16:53:44.357387Z digest=sha256:b1cfcb6e5a6e9fd0d8978355aa2eaf4bc6b19dd10fdd86d3672cbe048e1b5fa6

Observation 54f017e9-4275-485b-bef0-4b4f62f18af3 · outbound

This paper cites Variational Diffusion Models.

Flow Map Learning via Nongradient Vector Flow Variational Diffusion Models

Reference 10

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source=arxiv_source observed=2026-08-01T16:53:44.360108Z digest=sha256:b52a83163de09724ce711a6dae9abbf1b41d96a4db941472c06e736c73e637ab

Observation d821ad68-570c-4ed8-bc33-b37b8bfa4a99 · outbound

This paper cites Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models.

Flow Map Learning via Nongradient Vector Flow Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models

Reference 11

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source=arxiv_source observed=2026-08-01T16:53:44.362670Z digest=sha256:b5715d7565d2b5b346b26f0b666c7c57669893cff8d25849922fa5bc5579c572

Observation 30052216-df53-4f11-af79-0eeaad0ba13f · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Flow Map Learning via Nongradient Vector Flow Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 12

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source=arxiv_source observed=2026-08-01T16:53:44.365139Z digest=sha256:970d86a2a6e6d452effb74f2289fc059cd47853bdc1c27bba2e21436436ad2f4

Observation ed65feb2-a053-4a17-b0a3-d34729aa85a0 · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

Flow Map Learning via Nongradient Vector Flow Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 13

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source=arxiv_source observed=2026-08-01T16:53:44.367727Z digest=sha256:1057c18fe221933c35441bcf841f01b54ce46db67be4024c966fcbbcd205b4b4

Observation d0f9d984-89fb-44c3-aa94-2a58435dbb29 · outbound

This paper cites Machine Learning: Science and Technology , volume=.

Flow Map Learning via Nongradient Vector Flow Machine Learning: Science and Technology , volume=

Reference 14

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source=arxiv_source observed=2026-08-01T16:53:44.370320Z digest=sha256:1c2eb3fc2b7bb21a0f2800542e869bddb18dc0f9076f82652dff51da1eaa9188

Observation 4e1c2479-5d8f-4870-8471-28e41bdddb02 · outbound

This paper cites 13th international conference, ICONIP , volume=.

Flow Map Learning via Nongradient Vector Flow 13th international conference, ICONIP , volume=

Reference 15

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source=arxiv_source observed=2026-08-01T16:53:44.372774Z digest=sha256:278a177a1b8e3997c0419aac8754e9e66c3f338b2956ac50f7c6e56ff44c2c04

Observation 95dbc52b-1189-4419-8511-167c7ffbadb4 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Flow Map Learning via Nongradient Vector Flow The Twelfth International Conference on Learning Representations , year=

Reference 16

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source=arxiv_source observed=2026-08-01T16:53:44.374998Z digest=sha256:f68f51141688360cad1b9323e9467ac55dccd7baeff6712c55f39b8be28332d1

Observation 453bd705-af46-48c3-b560-845371b7299a · outbound

This paper cites Advances in neural information processing systems , volume=.

Flow Map Learning via Nongradient Vector Flow Advances in neural information processing systems , volume=

Reference 17

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source=arxiv_source observed=2026-08-01T16:53:44.377295Z digest=sha256:03232b5fbba24e09962578f960cd670f249aaa7369178cbd6aa6eadf4f744ca5

Observation 2a846cee-f31b-4e6e-b3ae-d46f2403163e · outbound

This paper cites Journal of Machine Learning Research , volume=.

Flow Map Learning via Nongradient Vector Flow Journal of Machine Learning Research , volume=

Reference 18

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source=arxiv_source observed=2026-08-01T16:53:44.379719Z digest=sha256:89636d0d10be8516b0fa98e33430b183ea0220dbf375049b1f738f814e73f916

Observation 6ee575fc-5756-4e33-8540-b3001b95b516 · outbound

This paper cites Nature , volume=.

Flow Map Learning via Nongradient Vector Flow Nature , volume=

Reference 19

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source=arxiv_source observed=2026-08-01T16:53:44.382003Z digest=sha256:a370871048c65fc9dd292418d57386d6d3e7c746355024148f33a0e2c18143dd

Observation 7a796201-923f-4b75-bf3a-73136c100c61 · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Flow Map Learning via Nongradient Vector Flow Building Normalizing Flows with Stochastic Interpolants

Reference 20

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source=arxiv_source observed=2026-08-01T16:53:44.384478Z digest=sha256:0031a05cb6560f35efe2516f8ad759ae5b593006c779d2f1ec63e9fa04437569

Observation cffbd3ea-cd78-4678-a355-c2db0f957e6d · outbound

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

Flow Map Learning via Nongradient Vector Flow Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 21

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source=arxiv_source observed=2026-08-01T16:53:44.386932Z digest=sha256:16fbc7dacca82bc484e87e0f4a837b93d662bfcfac32052021844f1906912d6f

Observation afee00f9-85cc-4a6d-a13f-a69ad49f4bda · outbound

This paper cites International conference on machine learning , pages=.

Flow Map Learning via Nongradient Vector Flow International conference on machine learning , pages=

Reference 22

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source=arxiv_source observed=2026-08-01T16:53:44.389387Z digest=sha256:21f6d9200592fdaad7977279317edb06d8f8dee7dd09e6f25926795f88e2f28f

Observation 5665db71-1562-4aab-98c2-f7bd498593fa · outbound

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

Flow Map Learning via Nongradient Vector Flow Score-Based Generative Modeling through Stochastic Differential Equations

Reference 23

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source=arxiv_source observed=2026-08-01T16:53:44.391961Z digest=sha256:b91eb9d3bccd080bfb1e63ff5e835978c3e5fcca0c9bf614e79a5b96ab38c649

Observation 3f033fcb-ee38-4ca3-a325-349d8d01ab05 · outbound

This paper cites European Conference on Computer Vision , pages=.

Flow Map Learning via Nongradient Vector Flow European Conference on Computer Vision , pages=

Reference 24

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source=arxiv_source observed=2026-08-01T16:53:44.394720Z digest=sha256:078cbddf65f4c2a21983ff73af02acca198ccdfbcf5ce8da19edc7152ed8e195

Observation 7c00aba2-cc90-43d5-9f5c-d9f06ea7787b · outbound

This paper cites Classifier-Free Diffusion Guidance.

Flow Map Learning via Nongradient Vector Flow Classifier-Free Diffusion Guidance

Reference 25

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source=arxiv_source observed=2026-08-01T16:53:44.397102Z digest=sha256:62b1803548e9f14104104c0d3ae0af63ac7c33de0991bb9615cc4211e7ee9588

Observation 88e2c2b5-6337-45af-943d-b3bd7d9daa0a · outbound

This paper cites Advances in neural information processing systems , volume=.

Flow Map Learning via Nongradient Vector Flow Advances in neural information processing systems , volume=

Reference 26

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source=arxiv_source observed=2026-08-01T16:53:44.399639Z digest=sha256:9ad00d1f158e68ca3e9a8f50b15f6faea8a55facfd0d45812c81df860187492f

Observation 99416463-a93a-47a0-a01d-ce091c2ad0ce · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

Flow Map Learning via Nongradient Vector Flow Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 27

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source=arxiv_source observed=2026-08-01T16:53:44.401967Z digest=sha256:c29a4e2a951db34d23170ae69171dd08cbfaa9e60ac66f84bf00c7580b7068b4

Observation f0d58b66-1681-4480-a699-632c7e46ee55 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Flow Map Learning via Nongradient Vector Flow Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 28

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source=arxiv_source observed=2026-08-01T16:53:44.404170Z digest=sha256:51c36aa814a7e4c472ddd579493b0ac1250a9a66539bcdcbcf18fb39b7955173

Observation 68e3711b-5f9f-445e-9349-38c372780a3e · outbound

This paper cites Advances in neural information processing systems , volume=.

Flow Map Learning via Nongradient Vector Flow Advances in neural information processing systems , volume=

Reference 29

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source=arxiv_source observed=2026-08-01T16:53:44.406466Z digest=sha256:df60ebcfa503279b42a9d0c1f2feae04a3af1d11b7fd2429eb81784b943a588c

Observation 488a1499-5d5c-439c-85ce-d1124b18e050 · outbound

This paper cites Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions.

Flow Map Learning via Nongradient Vector Flow Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions

Reference 30

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source=arxiv_source observed=2026-08-01T16:53:44.408766Z digest=sha256:ec5d8a6c64ee2e5dd5401ccd2d72a3e81b50761b0bad7b66370cf1de114c7df9

Observation 13f02b21-13dc-4efe-9e59-ed18d1a4253e · outbound

This paper cites International Conference on Machine Learning , pages=.

Flow Map Learning via Nongradient Vector Flow International Conference on Machine Learning , pages=

Reference 31

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source=arxiv_source observed=2026-08-01T16:53:44.411226Z digest=sha256:fc8e18ce7cceb78ed176dd3e4c1e1efdd2c19671ce3bba4345970e3c75b741d8

Observation fa8d7598-020e-4666-baff-a7fd1d7aaac2 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

Flow Map Learning via Nongradient Vector Flow Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 32

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source=arxiv_source observed=2026-08-01T16:53:44.413523Z digest=sha256:f9c8c91ad97000a1f571ed4b9556e2c910c70758bf99c5dc109ab08801405c84

Observation b37572c4-3317-4fd5-b534-cef5e332670a · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Flow Map Learning via Nongradient Vector Flow Advances in Neural Information Processing Systems , volume=

Reference 33

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source=arxiv_source observed=2026-08-01T16:53:44.415823Z digest=sha256:011e63af78466f90da6c6ba83875ef6769bc3aa7e3a492f453e3eab7b713fae7

Observation f3446b21-0155-41b6-8126-a2a5fcaf38cc · outbound

This paper cites Communications in Mathematical Sciences , volume=.

Flow Map Learning via Nongradient Vector Flow Communications in Mathematical Sciences , volume=

Reference 34

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source=arxiv_source observed=2026-08-01T16:53:44.418190Z digest=sha256:c32f9a80ce5496639a03677ee259870139a63c65a9049bdcf12de85aee9e2c28

Observation 258b48cb-1f55-48fc-8d05-bd22160d7ee1 · outbound

This paper cites Advances in neural information processing systems , volume=.

Flow Map Learning via Nongradient Vector Flow Advances in neural information processing systems , volume=

Reference 35

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source=arxiv_source observed=2026-08-01T16:53:44.420502Z digest=sha256:1d9a205defd842693361457f540e17dee13048906d5796d55ee807e1099a6b25

Observation 53b1ee92-4722-4712-bb5a-326ba85b4ca6 · outbound

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

Flow Map Learning via Nongradient Vector Flow Mean Flows for One-step Generative Modeling

Reference 36

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source=arxiv_source observed=2026-08-01T16:53:44.422834Z digest=sha256:122d0ec07b2bb17c484523d4dc27af188c9628c577e4d6c9e8e77e9939c841b7

Observation 652f0a0d-d804-417a-9dd8-663e8b916232 · outbound

This paper cites Align Your Flow: Scaling Continuous-Time Flow Map Distillation.

Flow Map Learning via Nongradient Vector Flow Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Reference 37

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source=arxiv_source observed=2026-08-01T16:53:44.425332Z digest=sha256:5f2a576f1b57ac92154b8ba023e9c0b3e0506be0279c3d8828f5b2e9e146be05

Observation 30e8f3ec-14d3-49a3-aaa6-7bde12bf388a · outbound

This paper cites arXiv preprint arXiv:2505.18825 , year=.

Flow Map Learning via Nongradient Vector Flow arXiv preprint arXiv:2505.18825 , year=

Reference 38

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source=arxiv_source observed=2026-08-01T16:53:44.427803Z digest=sha256:1a460521ff04daa949dcb3fddcbba3440044c42048854510aac6472c8dac6ee0

Observation 042a265e-2db4-4b51-b162-63c620f0ff85 · outbound

This paper cites Journal of Statistical Mechanics: Theory and Experiment , volume=.

Flow Map Learning via Nongradient Vector Flow Journal of Statistical Mechanics: Theory and Experiment , volume=

Reference 39

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source=arxiv_source observed=2026-08-01T16:53:44.430227Z digest=sha256:ebc9da51acd5a904ed994d08f3c408f9713dd770f5f35aa1ecf9efc66eb453de

Observation a1a968e3-e2be-425c-8532-945b3b782962 · outbound

This paper cites International Conference on Machine Learning , pages=.

Flow Map Learning via Nongradient Vector Flow International Conference on Machine Learning , pages=

Reference 40

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source=arxiv_source observed=2026-08-01T16:53:44.432519Z digest=sha256:540b3ff005734ed861543e8b6447be00d90c3596c8be301e3cef6ea725428446

Observation b7827a87-2fa5-4819-be43-8bc6921ad181 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Flow Map Learning via Nongradient Vector Flow Journal of Machine Learning Research , volume=

Reference 41

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source=arxiv_source observed=2026-08-01T16:53:44.434808Z digest=sha256:1fe9053cbee3fd8f97d536de17f2413344edb055937ac635f00350580d1e2cf3

Observation e9e759ef-3b45-4f91-b47a-1dc7cb2b1e38 · outbound

This paper cites Communications on Pure and Applied Mathematics , volume=.

Flow Map Learning via Nongradient Vector Flow Communications on Pure and Applied Mathematics , volume=

Reference 42

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no resolver link, observed 2026-08-01T16:53:44.437175Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T16:53:44.437175Z digest=sha256:0bb414841542d1bd7d588256d4f97d715526cc863a3fc4b148eb6e9615d17b86

Observation 5b3c80a3-bf63-4cb2-9591-9c0c4abdd677 · outbound

This paper cites International conference on machine learning , pages=.

Flow Map Learning via Nongradient Vector Flow International conference on machine learning , pages=

Reference 43

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no resolver link, observed 2026-08-01T16:53:44.439786Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T16:53:44.439786Z digest=sha256:0ddda780f3cb77d71e34ab1928b294f1f6abbcdbcb0121d518cec625a8f574e8

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

This paper cites Flow map matching with stochastic interpolants: A mathematical framework for consistency models.

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T16:53:44.442074Z digest=sha256:5085dea399eda01f7b295c148e8586392b7d2b664585f9b096df079c7243a24e

Observation a59ab1a5-f369-4aee-8494-09e171a42b56 · outbound

This paper cites Advances in neural information processing systems , volume=.

Flow Map Learning via Nongradient Vector Flow Advances in neural information processing systems , volume=

Reference 45

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no resolver link, observed 2026-08-01T16:53:44.444557Z

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source=arxiv_source observed=2026-08-01T16:53:44.444557Z digest=sha256:685f55bfdc38cb6eff01d062e4dc93990adbe5ff11053febd888415ef76b46a5

Observation 57749b20-53a9-4ac3-8b80-3112121b4e44 · outbound

This paper cites Flow Matching for Generative Modeling.

Flow Map Learning via Nongradient Vector Flow Flow Matching for Generative Modeling

Reference 46

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source=arxiv_source observed=2026-08-01T16:53:44.446752Z digest=sha256:be1edd06df9a850c3ed1963487fec169c1f4f06b0c6ad4e6248b6918bec59f63

Observation 48846de4-d5a6-4313-8505-a51a4a5fb96b · outbound

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

Flow Map Learning via Nongradient Vector Flow Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 47

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source=arxiv_source observed=2026-08-01T16:53:44.449178Z digest=sha256:fc5e88a0b1186f4f963274da890f1070d078c2c1a1a0025095e6855772b4dc5a

Observation 253cfaa9-6ef2-4311-9cd9-faa723758f74 · outbound

This paper cites Population Matching Discrepancy and Applications in Deep Learning , volume =.

Flow Map Learning via Nongradient Vector Flow Population Matching Discrepancy and Applications in Deep Learning , volume =

Reference 48

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T16:53:44.451590Z digest=sha256:a0b06de8d6ee68f3bc3c76e0090d9af8be1e99798069d215a47f73004dd4c826

Observation 57a39dfb-41f3-461d-aba1-20ec9cdf0c42 · outbound

This paper cites ICML 2024 Workshop on Structured Probabilistic Inference.

Flow Map Learning via Nongradient Vector Flow ICML 2024 Workshop on Structured Probabilistic Inference

Reference 49

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source=arxiv_source observed=2026-08-01T16:53:44.453902Z digest=sha256:503f3c0f6ee455087e4d6f0513feac137feb2dd214bae412b2d84037b0aff43f

Pith citing papers

No inbound Pith citation observations are available.