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Paper Citation Record · LEDGER

Flow Map Learning via Nongradient Vector Flow

As of 7 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 2026-08-07T06:34:17.273281+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:c3ba30f2ab6387660e8d1a140f24ba16084c8a838508369584ab15d33650fa24

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=sha256:0e2b9e05e6091093097e385517050dd4120551b8d4ceb170011bd5f871d0d20d

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=sha256:7e5209d0a7c9630e8dc1e1b1eb263d970243265c8cfc4a301417bc62a01ae79f

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=sha256:596f13edf49416e019405b4b0e2b60e9daa8bc032c456175b2a319b8f4d39121

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:cb072cb99abb360fa5c7f37afce696f1dc39d538c73a05cdef517c8c8a13f541

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:f68fd5181cec83b585af4805c89badb82e0924b64ff1b2f53657081fdb8a1a5f

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=sha256:1d6b022e02dafb77b365d530781fadcc21bc26b42d84eba3a16173067fbf7a42

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=sha256:0fddf0d6f6e003566a708b2c9d205abf47a9548c6a9120ad9a944bfdf1818d64

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=sha256:96547330dfa1d430f4e84fb9eebc5dcd840603552745c22a60ea0281d6f44a41

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=sha256:2542a3cfb14198c2e2ca3667bbf8c88b47adccbbefdf49f9fe2b6af8adfac16b

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=sha256:9245961748ae0bee9e6451f85527235e6738d62707c2cf60769f5e46eb555042

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=sha256:4957b3ce84e8004337ec0f2ae1abb7151fa6eef6e3502191213a4dbeb905426e

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=sha256:0225d41a7b32892daee87e3bcbfb84f152f7035994278219ea8af1a3e69393e5

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:cfd1d49fd35e75474d2626bbf559c78f9c1ac0ed611f889116e93b19d74a035c

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=sha256:727292466f3b169beced61320500a5b9be50ad4d4c72eac4392976114d5bcd89

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:a9b0bba6af8a27872494ef5c33f960052afb28c967f580e2c79d3eb5904629e0

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:edc3e5a61635d66d3074723cb77ccc78a1bd58e33cb9eb3ca7257d245c61cdfe

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:b0ee10f90e7b00d8296fe767325b1724c897a23cc7439a7762257389f44488ad

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=sha256:49831a3a4702e424957f7e43db3c8ee4355a1a61b4d146e0734117aca5b8072c

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:c76dde18dd2fd831771a00125aa2d3625b1665a53931952e0656e9e2415df041

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=sha256:74f027762b88d1bc8a154f507b12ed36f5fc76ef267970c931c811d394c97143

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:a450aa8c62397ee1b5bb18c67ed3f7adaa7528fa0a7acac6048fb1429a4e1520

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=sha256:2a8d616bc0aa32dce84bc661182d355794f32b3b3f54d45228e039a1585925d7

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=sha256:72468665c37abe4fe4e1683908fe4510e764a053c55e1d797ae49c8c9751cb64

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=sha256:8a131626293fc157cea10fdddb83bc0c4670b01412186068bb501b4b5c2d5c36

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=sha256:957303d7352c9ce28c7578528ddedd5937740d6c12ad21cf1da84eaed42ded66

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:b557b7493763eb9302dcd708871e64c2cf51fe65a8c9db39dc930bfbdb1e125b

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=sha256:0b1b1ca415d9809a6e9b8ffa8f8e9490a71982b40b9ed4211b20c3fcc1519ffa

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=sha256:99f7d6eb67f6a86437724f602045e673c2eca7644c56ac04e39a22c09672c56e

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:d47bf48074ee5be80b4da4d1f6ac3c7fe0c5263321e2aa9ab013ebccf1f3e028

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=sha256:9e3824728654e0d50decbbcde77a8d392c0c05aef1a58d23f37f333350eb8011

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=sha256:2a17d0787810c638825ba82f3db649d6130e0e562275e686f7cf04958f6a0348

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:d6b84fe0d52406cc0758eafc59700d6bc33f2dc287b95824cb9bba31f5b5bcd4

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=sha256:1dac090471bf2cb4a35855536ef3285a1cd064dedefa8f0b14ee05c3c11e838b

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:af046071f7abeefd484f4204daa86cf01539d9415d4706c3851852dada53eaa8

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=sha256:68a23c49dfb34c2fd6d76feb1b0daca0557bf7e0f9a053748010c99ad8607af2

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=sha256:9693e0515c8aa73d6f21424ad5b2b45e131f4aae19ab3c5e113c7501f7a479d4

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=sha256:590b3cea8654c9acaf34f824b5bc906876f9f96a9a498cf54933c08577e84d87

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:f55d1002354a028eeb17760880c7a89381521fb827a6c0ded31077ba5d4077fb

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:b6d29647fe65bb81db6f02efab4b35e3037e6939663da8dfa1a5fec09a51e51b

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=sha256:33430fc092f8a29729b6bffc6b4212fca3e83a7c3d85323e340845acbdc61fb3

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=sha256:88e44e3aaf22a48f55a92448465c6cd6f54e80d7f17efc0a74c6159a7a3e815b

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=sha256:5db85d5e6a021aad9b14cc9750e7083dbf972a1ea435de3bd89f7ff8e2d31e3a

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:afecb309ccd1dea0a2f6587308df67d0ba5f096071d5ef4a5c79cb9955fe8712

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:e2e1e51d3f666ffc51e4e0e8cd1242bd4c5cf5f98fd40603fee788ea0adf7fc9

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T16:53:44.446752Z digest=sha256:fdc72e73e663551b33ad1d0ee783489a70803baaa6c3620fd72a5f8dc90ff29f

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-reported events for the cited work

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source=arxiv_source observed=2026-08-01T16:53:44.449178Z digest=sha256:2b02deefb022b1c0cb55094014b4c1433755fe7091dc936b5c78309167cd3ef9

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:c8b5238138e6a07d9fb9365e6151c412d232720a7565c75b08502d51451c5c91

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-reported events for the cited work

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source=arxiv_source observed=2026-08-01T16:53:44.453902Z digest=sha256:6be4c6601d2e048bd394c91189d56138b3e8f7d110f22affe5563d229415687a

Pith citing papers

No inbound Pith citation observations are available.