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Paper Citation Record · LEDGER

Flow Map Learning via Nongradient Vector Flow

As of 9 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 2026-08-09T06:31:02.800959+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=sha256:969b8be4a39f1dc87934b7946ae48eef6234c7b8956ea761ba01c1de3357a639

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=sha256:9e0e847d3c1781d705d1a2c3ca900d52648ea4e41a5ddd733453a0d272315c90

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=sha256:421e985a147d6c0009aa8c3ece097192b3586297e05991cb260c7e4828b3d4d1

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=sha256:42e52fcb4d6585f738b8921499a3e6467680f20e265f2ccef4cceb4f9b8327db

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=sha256:3f80199707caf154bb8b2b91255e68b4ee4b17c9c90bb11e1e8f42c6e852e924

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=sha256:622614b5090d2fe12d8ddaa487ea8a9d920dbe824048d22b268a353b04e188a7

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:e53e322ed581b3d63acffc7485fb09c76a4d29a68080edb163a1be0255dca3e4

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:cf2d712ca80ff7ee2150f251f076250e33f09d1d6c8cff171c431c314fecc520

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=sha256:81a20d2c7e342ec44c25d6185f039a559ab52336cc8778042bee6c8760ddc9dc

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:f77feaebfb6d94860a84af7b09dea5a0f616b63352e166254f5363170b02ddff

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=sha256:101d0fec07835bc4c2ecbdb60acca21c3662cc03ee25da428d88e0daebba5e55

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=sha256:10f5bf202e57b9bd7511dc97876989115a8f2f1890d08ca5e30043e13d7d1da1

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=sha256:70e7ce1658776ab8c97d7e1acb9638c75052b913b986060a19a7f5eccb2cfda3

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=sha256:50d58cff1031c938d4ee01e2793d8b85a2a547230fe2b601d4e64f5264425ae6

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=sha256:923b375185124af7768a04dab805a62bb4c1fe5bcfd27f3143918eda49f80eae

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=sha256:593250261eed7f602b5b77441e4e63ec6a20cdb079268c13fae95e88e3130969

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=sha256:7cc63e26cfd63cf9093b1b90771d3fa10b048bd89d7c6763bfa85a015b567eff

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:dca6ecd164237debeb738cababc8a5502d7b20e840639e4ca2717d24636e2234

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=sha256:671225d107fa693a6c91380acbf2764471ce3631ef8c18360b8986f73f092a90

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:cc43ac7f1b0c076593aca452d1ab0af03d039a3aa57af04d991ff648af89ae3a

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=sha256:9b80aa6592e3257999761bddac07f7c4e69409d871ce27f4c87eecc8964de34e

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:e012e78cd9588cf52b45940256043d187672ae962a30a8cec340027fd008fe63

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:fbc7df54f3c361f05c9dc16582b85e33f4c7f0a61a7755ef5a5b70eba8a9bf7f

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=sha256:30b1765fa5ff866f6aa8c501b6af3600e559351e82c6899e892eed53cf3bb389

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:fa3c33a1e3e44e3653db7b77e24da65708bead0ceba7caf1a5698faa4ea5cc06

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=sha256:3101b143e48afa515e3a27019438305a08fc5c1282b6e7bdee0aa4ee64d86922

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=sha256:77fa2c7b5f57040b8e36260af43a499858336cdd8b77431291b2517affc933e3

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:b89c1ebf1185185becbcbc778f0e0b010f0dd6902511e27b2593261f5552b589

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=sha256:0719b75946c312b32b35feb3b495ce91527871f5686c251c11e73ed55898fc8f

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=sha256:4dcf7ac3ccf41f1483e457f7838d9d50eef2fa21ed0111524a32802856d37dd7

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=sha256:27f10b9fa8cf1b2e45921cf218907910b72574e3f018a4918cd73af62483e81c

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=sha256:6da1e7dbecdb83ee731fbf3ba41dd1bb7f43bed059f48996001d9512b3e3d11e

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:dbce6999bc52e7ec7ec8c02c74f0e1df37b446fb91ad22817fd6ddd3f56915e9

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:cd77eee8e24f2d5b8a729099534ffcbbf1fe9417200ff3f852e370980152a664

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=sha256:6b70e9889217b569eaf7e32bc316afd5c763a92fdb0b17e4d1d1211199217d93

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=sha256:8078cbee363f6af60f26620ac951f358f96d1d3a33989a111c94ed460dedac56

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=sha256:05d16899a2ec25d501362fbb0b82833e279378a3d24f6e96e7d757b895db5f5a

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=sha256:226b38ee6cd28d1a88304c947134674bfc4d8b1a37f7a03262c7f19fe24065fe

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=sha256:8c455ecf3d8a4d734bca73f6103ee633e98b64fe95afdaa15876aaf9766bb1c1

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-reported events for the cited work

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source=arxiv_source observed=2026-08-01T16:53:44.432519Z digest=sha256:b668dc0f9cac60a84912f7e84f03832058696490c7c3ebbf04f546a4fe051d5f

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=sha256:4405cfbf0b5046c7e9aa6407ab5cec6e02cf8c515f93b6598548bc075106220d

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:b7bb5e4660b2bc99cda1f7d47a4c351ff94c0217db02c03164802305d5608bbc

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=sha256:78f346b59698156272abc926e2b8798c8690c7aa23e371965b5ae3133d6ef5f9

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:fda7fdb21068a763fd6ea05b4d5bae630c8b0054bbd372f3859be3c4d6b43d8a

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T16:53:44.444557Z digest=sha256:1a2c940744ca057cbe1aa987fa76d28a363bbdcc480000c784f992fbbbd0ce10

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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no resolver link, observed 2026-08-01T16:53:44.446752Z

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source=arxiv_source observed=2026-08-01T16:53:44.446752Z digest=sha256:9f2b13d12c0c53b060e37b18cae13078eafc65ee23254ddd1a7e70d5863c56b5

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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no resolver link, observed 2026-08-01T16:53:44.449178Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T16:53:44.449178Z digest=sha256:2bde311c72487788c611902b5252e007d8db922ab769113d78061675ef4fa31f

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=sha256:98d5b4365d04a64a066765e0b370f0c880fb4b0ef0127167dc5977ef7b72ce23

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=sha256:249c9fb92d74c3b4ae2515a25066508f7f794297aa16f0d5d8a9f525d23c6629

Pith citing papers

No inbound Pith citation observations are available.