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Paper Citation Record · LEDGER

Flow Map Learning via Nongradient Vector Flow

As of 19 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 2026-08-19T06:32:44.657259+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:e7a6cb6dd9727dabba8e32586852000b4207b7420f4ccd158385b0ff03f84367

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=sha256:18fdcaa996253be494708a6a3cb7dbb11158715089df653212b8ac4ff10b3044

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=sha256:7a6cea1cec40b4c1f132934d4cfbc126309275c3da2fc828634e96090d9cf13a

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:e9004cb9355e724c0937322dfa62c64f6686a76f7b4c681dd2f2683f0a0f493e

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:e08be73f5535f2b107d23f8d9d6fa91219d25b85cf34389bcdb79bdc18d31ef5

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=sha256:5ac4e06d68da029c338e9cb4f13eeb372087d6acea0a86876df69de6018f0f1a

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:e0be8e75bc2aa6c5c7385f331d3b89c2b4c637af3935f2130eedf09b4d5c7ca4

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=sha256:1a0ca49321d46730c3c539b32a1172b23d8d82328ba7ba49956d57e54b57f466

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=sha256:9fe997c33bb0b7c0433e2dd6b6c190079f936aa2d54b02c0834aba50eb7c22cc

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=sha256:47799a12a1b60e6c3541a73189401ea889b15aa47507c5faf366ff94d96c00ce

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=sha256:717a1e38668ce0be948a731ca7b8e35078102ebb5de91789d954320ae6d0f817

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:eefbcb605ea4a791b9c6d7e73ae9552b5346d4057fac144165cc6dba542dbac4

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=sha256:7043a13d8da07248c89e2d434157297855be6333177b6a73a0bdcc8ca267e0dc

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=sha256:335850a60e9e98c923125d027165a39a387b57fdfe7920a3a9065f7352ffc2e8

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:f4029ec6a81df2703cee2dca0fa7b92bb0c5cff1ef2a84699decf925a6aac3f3

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=sha256:24042da0521eadc59bfc7389534b23f507577ccc124d677c41daa147e2e632f6

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:f0ce77848e200a10e5be598d2750c2a51617367c29e39d2e080ce4ab09c28743

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=sha256:2266f667d76e96e8aef03acbcd5069c69c8ee83e4aa59738796d5f4920c0a7c7

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=sha256:43d44e78c4709c0798ea6c2f291b2c17cf95ee4b06efb71c8683b2be4fd36cad

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=sha256:32ad8df28a36ede19fa34e4d32de251f94098f5f99c25f13fbcc0e9694bc2314

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:bad91d42055f1d9b90ffe1c3b15af7bdbea87d318512c1aa78195ea66a5c16f9

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=sha256:3ef5d7b7eceb75e893c69a1f68fb0c32391ae931cd48432c6b5bb4e3463f2639

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=sha256:41bcd402fa8f80f536cd3ecc169c4760fbc7b9b5f4616d4b71d265edc8c638e8

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:beb903f79b05a2e38761899ce99d981a64868c8225b89a149230a0a5e980b5fe

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:de3872b7db1332373105cb1bec6ff952660257b22d503aadbac59e3518e39267

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=sha256:6f402659e5fbe75338f4c2fc177c8a6a87a6b5d2ee3e41cc408cde1475038750

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=sha256:3e7cb123ddaa7a177f2b3995f49c3e6394c14b094abcb63018787ca2b1851897

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=sha256:23e73d2232bc47c932cf8afc9c49a1f76690768419bc0babbfda0508258ac75d

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=sha256:27db64d3d3171da7db507c0050294f5845f27b7ec5a8f4b4feeed95017690ab2

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:f368f401acc4064ad277128d3103d6063ef3c54b0d9f11337d9379c85d1edb40

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=sha256:70a325409df589262887e9a899b5811184529be933b04d88669963a42baf3972

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:ce223f9ef7bad82ad67897be4227d560739e30e895f77f762e188ce10db26f2b

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:bad823e5bc80201ec8e8cc9ffdf46de1dd87c4d9b7721870b4ef419deadd551e

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=sha256:53fc97dac42e942f6f3dbd9683e50ca1775a89ab1069c27f4f460d87d56a6997

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:ceefaa105816a8dd72ac0cf52a4af31ad4ff0533d97e969adf3df61acfb14a49

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=sha256:3205b063568dd5ed850d8ca9af7b1d46c0546973cfc2bb36c6f90f07bf117f94

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=sha256:8a3bbcf0b8fe369d4b6ae82542d058070195dde6060484e66820a29f477a316b

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:ff674598a8e07c314c8e566dae655af96bfecb685c1fc9d0a16f4fbc53b47f29

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:a30133f9680765a8e4dd637a77cac01459909f3edc895c7ea81c29977ddf16c6

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=sha256:71c71fb72ad04278131cd1405b3e311c36b2133e9dd8ee226c21ff7daba0b443

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=sha256:3921631a3f6194405ea8db6489c516ba16272c1105e8c4f94dda2bac32243ca0

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=sha256:515b6534088fdc2903910307b0357b75055c4fcecaad82bbe2b1eae0ac3a5a84

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:e9ee6e89d9742f4582b085d82862db509acda93e0ad10ad973e50d4d1dd61406

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=sha256:684b5f85b556e264fb969e933e09ca700947baa7bbf34dbac5dd47bbc459dc34

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=sha256:897af50bb33215bdc6a995ea5483259f074e603113d105af4029cd1d5b5c81b0

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:dfc1aefc4649c034587407471b26f6047d06d65a4af90fe88ba626f66b6c662e

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=sha256:03ae2c821c8505c45f1a5777ae72670e95e3423a02d6c027cac0bc013c7daeaf

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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no resolver link, observed 2026-08-01T16:53:44.451590Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T16:53:44.451590Z digest=sha256:f4253e1661d62a58bd4a5d780d545aa75fd693f9d469ee0500ef756fc3a6ebea

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=sha256:0c35866090999236b079b16cb8e7f6dc2bd2485b33a48c1f4915800f7b3e66ec

Pith citing papers

No inbound Pith citation observations are available.