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Paper Citation Record · LEDGER

Energy-Guided Flow Matching

As of 12 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2608.05811.

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

pith.paper-citation-record.v1
2608.05811 v2

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:33:41.412406Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

63 of 63 outbound references displayed

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  • unresolved63
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 70921345-0018-47a0-885a-9c87a4cff54a · outbound

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

Energy-Guided Flow Matching International conference on machine learning , pages=

Reference 1

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source=arxiv_source observed=2026-08-10T04:33:41.201734Z digest=sha256:5061b762d77b1672fb589b09c72ca41f393777528a3aa8eaefde0b140266c904

Observation 52ca541e-3e50-446e-803d-55af14bc153e · outbound

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

Energy-Guided Flow Matching Advances in neural information processing systems , volume=

Reference 2

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source=arxiv_source observed=2026-08-10T04:33:41.205409Z digest=sha256:c8e6f4bcfad40da9fcc9df4a8f869c3c2d14e7121c00a679c6baf437b4944957

Observation 83b5dffa-e1fa-4c62-b90b-0ae0614c0d62 · outbound

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

Energy-Guided Flow Matching Score-Based Generative Modeling through Stochastic Differential Equations

Reference 3

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source=arxiv_source observed=2026-08-10T04:33:41.208453Z digest=sha256:fa0cfd1df5be53dbc17de256b754f61a2daa44141318b6a6091d97c0d90a1c59

Observation e68bbd18-0618-47e0-980e-f2a1b5c485ec · outbound

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

Energy-Guided Flow Matching Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 4

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source=arxiv_source observed=2026-08-10T04:33:41.212456Z digest=sha256:b29cd48d6055f492cb74843b4d1214ec9e46de96b00031374ffccc2de168b8fb

Observation ab9c70f5-c5b0-49d8-b523-d7ef26a45aef · outbound

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

Energy-Guided Flow Matching International Conference on Machine Learning , pages=

Reference 5

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source=arxiv_source observed=2026-08-10T04:33:41.216129Z digest=sha256:adbb9754e52a3f407eb65c01688b701326b7a7caaa74cdc59af8b87825a4b058

Observation be248506-b983-423a-8ccf-c89b639fe504 · outbound

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

Energy-Guided Flow Matching Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 6

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source=arxiv_source observed=2026-08-10T04:33:41.219697Z digest=sha256:8c17a8b1eea8bcc65769424ef1826e742ed831fcb44cc70bc90fcf3e943a4cca

Observation d6944a92-5fb6-48b9-a003-ccb61f191445 · outbound

This paper cites Forty-first International Conference on Machine Learning , year=.

Energy-Guided Flow Matching Forty-first International Conference on Machine Learning , year=

Reference 7

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source=arxiv_source observed=2026-08-10T04:33:41.223345Z digest=sha256:c10412f9492190d9284b8019ab35d74d820f41ad8c3d1ce0bf797ab8b01af2d9

Observation 9d18d925-42ea-4e11-aad2-645efe6bab47 · outbound

This paper cites Back to Basics: Let Denoising Generative Models Denoise.

Energy-Guided Flow Matching Back to Basics: Let Denoising Generative Models Denoise

Reference 8

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source=arxiv_source observed=2026-08-10T04:33:41.226668Z digest=sha256:e20f8d7841b7cdf430a38c81f11d6ed1934696b10be5ca8ceee4a1358b808c36

Observation b6f4a311-364a-40f3-b5bf-8a3ec7c1193f · outbound

This paper cites PixelFlow: Pixel-Space Generative Models with Flow.

Energy-Guided Flow Matching PixelFlow: Pixel-Space Generative Models with Flow

Reference 9

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source=arxiv_source observed=2026-08-10T04:33:41.230759Z digest=sha256:2f86277a257d7256187a01fc1466fc64b46935b9600b1e216e70776ca72a7f2b

Observation e18e4028-0bdd-4d80-9916-4c0485de3130 · outbound

This paper cites PixNerd: Pixel Neural Field Diffusion.

Energy-Guided Flow Matching PixNerd: Pixel Neural Field Diffusion

Reference 10

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source=arxiv_source observed=2026-08-10T04:33:41.234673Z digest=sha256:3cddf68f086787cfc1f95a7bd21211c99c0013a849f7b1cee5828bdfee90f148

Observation 3e01dca4-4d06-4485-bf35-da7418078960 · outbound

This paper cites PixelDiT: Pixel Diffusion Transformers for Image Generation.

Energy-Guided Flow Matching PixelDiT: Pixel Diffusion Transformers for Image Generation

Reference 11

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source=arxiv_source observed=2026-08-10T04:33:41.238298Z digest=sha256:0bb7f9f397ef4a3bcd5b8eb2d8513d9580910a72243fc0d5a2cd845cc825e856

Observation bde939d1-f5be-4f2d-abc3-b3bf2f9c786f · outbound

This paper cites SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.

Energy-Guided Flow Matching SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers

Reference 12

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source=arxiv_source observed=2026-08-10T04:33:41.241782Z digest=sha256:55af3af5fca22fea3b465ee2ea5cf7c4ff391275af8f5bc7fafb76f0c2b064ec

Observation 1c1f2179-3c33-4b9e-94bf-bd6f12c3b265 · outbound

This paper cites arXiv preprint arXiv:2506.23543 , year=.

Energy-Guided Flow Matching arXiv preprint arXiv:2506.23543 , year=

Reference 13

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source=arxiv_source observed=2026-08-10T04:33:41.245482Z digest=sha256:dd0dde936d2a41744eaf1d13e2944eccf4ba8d55ce6b6ca5290b5bb5587f6280

Observation a215ffd2-02e9-4b0d-b218-ba768c073a68 · outbound

This paper cites arXiv preprint arXiv:2511.18822 , year=.

Energy-Guided Flow Matching arXiv preprint arXiv:2511.18822 , year=

Reference 14

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source=arxiv_source observed=2026-08-10T04:33:41.248692Z digest=sha256:7e32aaa43e8faf368d40fdd57e7fa0bc6cf6a13b768d99295ae1eac25bf96b0c

Observation 93cf2817-0b4a-43ea-a740-734cc7e4bdbd · outbound

This paper cites HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion.

Energy-Guided Flow Matching HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion

Reference 15

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source=arxiv_source observed=2026-08-10T04:33:41.252087Z digest=sha256:f932b0ad022859d0c4b9148f88cf65f3ccacb4466971bdc5c9d55db34e6c04de

Observation 2d4d2be8-ca18-4f68-a175-fed2b5f01e1f · outbound

This paper cites PixelU: A U-Shaped Transformer for Efficient End-to-End Pixel Diffusion.

Energy-Guided Flow Matching PixelU: A U-Shaped Transformer for Efficient End-to-End Pixel Diffusion

Reference 16

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source=arxiv_source observed=2026-08-10T04:33:41.255592Z digest=sha256:a9ad80e9953c284e7a9ba1ec2efee6feb8d7beaacecb6d02ed8fd70ecac18183

Observation 487b0158-d55b-4ddf-bed2-b24a24162682 · outbound

This paper cites The eleventh international conference on learning representations , year=.

Energy-Guided Flow Matching The eleventh international conference on learning representations , year=

Reference 17

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source=arxiv_source observed=2026-08-10T04:33:41.259275Z digest=sha256:abc634c7deaa8025522632b2f27e1addbd201d7f4eea047667a07e125f3da184

Observation bc1bc5b5-f3f5-4e56-b032-29108d6a61c1 · outbound

This paper cites International conference on learning representations (ICLR) , year=.

Energy-Guided Flow Matching International conference on learning representations (ICLR) , year=

Reference 18

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source=arxiv_source observed=2026-08-10T04:33:41.262559Z digest=sha256:f4e4ae7f22cb728890417bee0ef4aee8a84c3af957f68d00602e3f998d00e556

Observation cc6f9919-f28f-45b0-bb42-3bd53ade4149 · outbound

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

Energy-Guided Flow Matching European Conference on Computer Vision , pages=

Reference 19

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source=arxiv_source observed=2026-08-10T04:33:41.265708Z digest=sha256:d3bc00b541d1573d5929b0185c9e8b69fbaacb5a20a156f2283066faff2c8a40

Observation 4cc120e4-132d-44b0-bcc0-8337b7f6a4ba · outbound

This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

Energy-Guided Flow Matching Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Reference 20

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source=arxiv_source observed=2026-08-10T04:33:41.269315Z digest=sha256:dfbb660cfbf9130423c1cc91163abbdc1d0709e509af4e331bca19650e7606a8

Observation 7acd5ff1-900e-4efb-8f11-2ac919dc8813 · outbound

This paper cites generation: Taming optimization dilemma in latent diffusion models , author=.

Energy-Guided Flow Matching generation: Taming optimization dilemma in latent diffusion models , author=

Reference 21

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source=arxiv_source observed=2026-08-10T04:33:41.272878Z digest=sha256:436780a842fc2ebca3da75f243d96ba3261f8a00abf631e0a24a6f9b45a6ba26

Observation 8199a181-8465-4401-9a03-26938c3c3f4a · outbound

This paper cites DDT: Decoupled Diffusion Transformer.

Energy-Guided Flow Matching DDT: Decoupled Diffusion Transformer

Reference 22

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source=arxiv_source observed=2026-08-10T04:33:41.276333Z digest=sha256:99e865dab2dad4a796426b6ed2610f399446beaa0ff878f2cdbf5f8854bc3270

Observation 134cc505-8957-4ad0-bee8-1924365c181e · outbound

This paper cites Diffusion Transformers with Representation Autoencoders.

Energy-Guided Flow Matching Diffusion Transformers with Representation Autoencoders

Reference 23

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source=arxiv_source observed=2026-08-10T04:33:41.279788Z digest=sha256:4eb8b7585effc9b693f123f631c39491d982c9b6426c5b437ad7605c4f7b465e

Observation 0e2106de-dfe0-4874-bb1d-8bfa45fcf05d · outbound

This paper cites Generative Modelling With Inverse Heat Dissipation.

Energy-Guided Flow Matching Generative Modelling With Inverse Heat Dissipation

Reference 24

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source=arxiv_source observed=2026-08-10T04:33:41.283176Z digest=sha256:a3a7eecb17653ca63d0ba26e50d87c1773c19e0650d7e608ab7725bbaeb10c82

Observation aada3c97-ae41-425d-b171-e3646a2396aa · outbound

This paper cites Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis.

Energy-Guided Flow Matching Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis

Reference 25

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source=arxiv_source observed=2026-08-10T04:33:41.286917Z digest=sha256:78e336b52b66f8d2e8749ab3b677337b762ac8abdb1d824e94166c3ced9536e4

Observation 7df59832-f7ef-408f-b8f5-a5cd246ecdeb · outbound

This paper cites Blurring Diffusion Models.

Energy-Guided Flow Matching Blurring Diffusion Models

Reference 26

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source=arxiv_source observed=2026-08-10T04:33:41.290406Z digest=sha256:662750aa46e10aff54e52a1419e3dfc177560710ee33c39e7c12d34fb5ef42d3

Observation c1c82257-21ac-4ccc-a49d-f9659bdab4dd · outbound

This paper cites DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation.

Energy-Guided Flow Matching DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation

Reference 27

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source=arxiv_source observed=2026-08-10T04:33:41.293583Z digest=sha256:2ac55a96adf214b86526bcd534d4a7a20f7971a6e16fd1a67d822f254ff3e5fc

Observation 20a664c8-af73-400e-918d-acefaac787dd · outbound

This paper cites Frequency-Aware Flow Matching for High-Quality Image Generation.

Energy-Guided Flow Matching Frequency-Aware Flow Matching for High-Quality Image Generation

Reference 28

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source=arxiv_source observed=2026-08-10T04:33:41.296813Z digest=sha256:d41e7cd48145e347a2448bcffc2d602e62f054d495208ca61fcb7bde0ab415ae

Observation 2232930c-6ade-4892-9672-3e168b2b5cda · outbound

This paper cites arXiv preprint arXiv:2602.19461 , year=.

Energy-Guided Flow Matching arXiv preprint arXiv:2602.19461 , year=

Reference 29

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source=arxiv_source observed=2026-08-10T04:33:41.299856Z digest=sha256:d06fa56cbd34c97e22648209e91b36e13974e575c3789a75d03eea3532e57494

Observation 96f4b807-9439-4433-b7b1-93daf6fe0afd · outbound

This paper cites FREPix: Frequency-Heterogeneous Flow Matching for Pixel-Space Image Generation.

Energy-Guided Flow Matching FREPix: Frequency-Heterogeneous Flow Matching for Pixel-Space Image Generation

Reference 30

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source=arxiv_source observed=2026-08-10T04:33:41.302462Z digest=sha256:9f36de6f2cecea7bbe8a82fbe22334be907f0d63ecf2c459a9d1a7fceacc438f

Observation 1a03df7f-2128-43ce-8008-bf99a9be76a5 · outbound

This paper cites Low-Pass Flow Matching.

Energy-Guided Flow Matching Low-Pass Flow Matching

Reference 31

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source=arxiv_source observed=2026-08-10T04:33:41.305714Z digest=sha256:844f71aa893eca4c5671b7b0bbcde7327725b35ee5b6363b733409368c11f9be

Observation dd3e76e9-884b-4784-812e-038844df5500 · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Energy-Guided Flow Matching Building Normalizing Flows with Stochastic Interpolants

Reference 32

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source=arxiv_source observed=2026-08-10T04:33:41.309250Z digest=sha256:d733ea5e0a8bd2dcb3a6d5ca5b87a432ec01a0d9f4be357ea11e0a9d5051a524

Observation 141d5c7d-6d8e-4e85-8879-c114880cab9d · outbound

This paper cites 2021 IEEE/CVF conference on computer vision and pattern recognition (CVPR) , pages=.

Energy-Guided Flow Matching 2021 IEEE/CVF conference on computer vision and pattern recognition (CVPR) , pages=

Reference 33

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source=arxiv_source observed=2026-08-10T04:33:41.312901Z digest=sha256:27aa049ffcf4a99941d65483ec9aba37fc648aa794715b646225e0f8bd0085dd

Observation f65efc6e-7eab-4032-b10b-8e399a7ff0c5 · outbound

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

Energy-Guided Flow Matching Advances in neural information processing systems , volume=

Reference 34

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source=arxiv_source observed=2026-08-10T04:33:41.316401Z digest=sha256:57ce49f800fd5252be42855b742e6e614db4ce12f320e106da7a0d005524d67f

Observation 8290ea45-0fe7-40e6-865d-f747609a790c · outbound

This paper cites Classifier-Free Diffusion Guidance.

Energy-Guided Flow Matching Classifier-Free Diffusion Guidance

Reference 35

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source=arxiv_source observed=2026-08-10T04:33:41.319737Z digest=sha256:7e7d003509bb5586836346856be41bf014c63f947e2a5d9d313c5106147c2931

Observation adf1786e-7d2d-4e20-9634-b1e264e9a056 · outbound

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

Energy-Guided Flow Matching Journal of Machine Learning Research , volume=

Reference 36

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source=arxiv_source observed=2026-08-10T04:33:41.323220Z digest=sha256:fb28156dc8eafdb5d126924950d014b4e645e6d4bb3b8ec6d0ff9744598877f8

Observation c5735ae5-5bce-4d1f-adb1-12107dfb8139 · outbound

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

Energy-Guided Flow Matching Advances in neural information processing systems , volume=

Reference 37

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source=arxiv_source observed=2026-08-10T04:33:41.326394Z digest=sha256:65a1f5d55ca56e48affbf984dd3d8ba8f076a6e252873f073b8299d98b9fa650

Observation f3751f73-9837-4fb1-b15e-77194f12b192 · outbound

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

Energy-Guided Flow Matching Advances in neural information processing systems , volume=

Reference 38

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source=arxiv_source observed=2026-08-10T04:33:41.329783Z digest=sha256:cad21cd83a09782e6d64b00b491ab0840a47018bf311389fbaabe2326618939a

Observation 8b4e6620-f4a5-415b-b6bd-9fa3c02002f0 · outbound

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

Energy-Guided Flow Matching Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 39

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source=arxiv_source observed=2026-08-10T04:33:41.333085Z digest=sha256:280fa93e3d180385c73699a964aadc8b2961b6475c37ba79e130e65887658164

Observation c6e6b652-269e-4b46-a4bc-34d108cdf794 · outbound

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

Energy-Guided Flow Matching International conference on machine learning , pages=

Reference 40

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source=arxiv_source observed=2026-08-10T04:33:41.336458Z digest=sha256:b413ba4856ba43b9c63a50885e0ab25e926a64976e799fab5554b81c735016d2

Observation 41fdc69a-1e88-4522-bf73-c0a1b57e573d · outbound

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

Energy-Guided Flow Matching Advances in neural information processing systems , volume=

Reference 41

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source=arxiv_source observed=2026-08-10T04:33:41.340465Z digest=sha256:0ab6bf6af1f2caf1452b748e439c97f0b8488eebfd831eff46c3a07a87e984c1

Observation d8b21f33-54ff-457d-82bc-2c0a43e91069 · outbound

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

Energy-Guided Flow Matching International conference on machine learning , pages=

Reference 42

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no resolver link, observed 2026-08-10T04:33:41.343820Z

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source=arxiv_source observed=2026-08-10T04:33:41.343820Z digest=sha256:5c3d94957e2068ff51e1c1245e24337a2ccac9d08e6d89e705015e55adac48f1

Observation 6834246d-a90f-420c-afe9-aad720191588 · outbound

This paper cites an unresolved cited work.

Energy-Guided Flow Matching Unresolved cited work

Reference 43

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no resolver link, observed 2026-08-10T04:33:41.347274Z

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source=arxiv_source observed=2026-08-10T04:33:41.347274Z digest=sha256:c2f64313f25cb2a961d7b1d6608e9382eb4ff8eeb103bfa94b435c9129991f64

Observation 1b749058-2073-4cac-b326-86d43fa007ca · outbound

This paper cites International conference on learning representations , volume=.

Energy-Guided Flow Matching International conference on learning representations , volume=

Reference 44

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no resolver link, observed 2026-08-10T04:33:41.350500Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T04:33:41.350500Z digest=sha256:7f54170eaf73dda3e32aa64f872b31bf2879208ab2ea570bdbda97c08901bea0

Observation 5ab5b2bd-7c0f-4083-aa27-ea450c1d1824 · outbound

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

Energy-Guided Flow Matching European Conference on Computer Vision , pages=

Reference 45

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no resolver link, observed 2026-08-10T04:33:41.353695Z

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source=arxiv_source observed=2026-08-10T04:33:41.353695Z digest=sha256:516108719b17887a1ff055ebb267c7daaa05e09a91901d9cbfd5b48fddb780aa

Observation 2472b7f5-d980-4142-9b8f-5bbc0c1ff84b · outbound

This paper cites Forty-first international conference on machine learning , year=.

Energy-Guided Flow Matching Forty-first international conference on machine learning , year=

Reference 46

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no resolver link, observed 2026-08-10T04:33:41.356805Z

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source=arxiv_source observed=2026-08-10T04:33:41.356805Z digest=sha256:a34b72123cb00c77c5d2ba4865eff92088dc3be76dc9741d31beb28983795339

Observation 899dec83-f300-44b4-9bbe-ab10b491cc7d · outbound

This paper cites 2009 IEEE conference on computer vision and pattern recognition , pages=.

Energy-Guided Flow Matching 2009 IEEE conference on computer vision and pattern recognition , pages=

Reference 47

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no resolver link, observed 2026-08-10T04:33:41.360006Z

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source=arxiv_source observed=2026-08-10T04:33:41.360006Z digest=sha256:5cce50c7a7cf17673811276fbf3e2de218de746be06be51ba3548d01c81ad5db

Observation 13057d7f-c289-43bf-800d-7f7cd28b6fdb · outbound

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

Energy-Guided Flow Matching Advances in neural information processing systems , volume=

Reference 48

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no resolver link, observed 2026-08-10T04:33:41.363135Z

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source=arxiv_source observed=2026-08-10T04:33:41.363135Z digest=sha256:7d3aa1fc7664169e59ca8b8466d33ade42d66fc8e98d049f66e1af2737d30d85

Observation c7296aa0-6c9f-4c79-b8f9-505a56fb439f · outbound

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

Energy-Guided Flow Matching Advances in neural information processing systems , volume=

Reference 49

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source=arxiv_source observed=2026-08-10T04:33:41.366663Z digest=sha256:b3648ead856a3ff7d9236e5a9874b7df07f84e66786127ba0fe696057ef1781d

Observation e58bd8a5-a511-4837-a0d9-6ee0a374500b · outbound

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

Energy-Guided Flow Matching Advances in neural information processing systems , volume=

Reference 50

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no resolver link, observed 2026-08-10T04:33:41.369955Z

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source=arxiv_source observed=2026-08-10T04:33:41.369955Z digest=sha256:ba2a0ed69fa30e54358f04ef6f415e82f6fe27048c6f358fcb932c4a8fbe39b4

Observation ac79c537-1dd7-451a-92d4-d55245791e84 · outbound

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

Energy-Guided Flow Matching Advances in Neural Information Processing Systems , volume=

Reference 51

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source=arxiv_source observed=2026-08-10T04:33:41.373047Z digest=sha256:22e4d3efc9bc73ba264de9f35af8fec96674920ad86b9141bb450a47bdf8f803

Observation aba5ba22-5321-4695-a9b8-010773b4e4d2 · outbound

This paper cites ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment.

Energy-Guided Flow Matching ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Reference 52

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no resolver link, observed 2026-08-10T04:33:41.376207Z

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source=arxiv_source observed=2026-08-10T04:33:41.376207Z digest=sha256:16dbec4e4ccd4bec5592262761c7abf6762c859dd804694b57e705f43fdcf4fd

Observation 2e91b397-8625-464a-8d9c-13e22e493e33 · outbound

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

Energy-Guided Flow Matching Advances in neural information processing systems , volume=

Reference 53

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source=arxiv_source observed=2026-08-10T04:33:41.379720Z digest=sha256:b1e1d5de58c5c7f0f83ad91a3adf1615ca9567e2d63cec9e1944e906545aa785

Observation efe0ada3-6b35-449b-a14b-cda7a48c00ed · outbound

This paper cites Forty-third International Conference on Machine Learning , year=.

Energy-Guided Flow Matching Forty-third International Conference on Machine Learning , year=

Reference 54

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source=arxiv_source observed=2026-08-10T04:33:41.383048Z digest=sha256:e7bf642f220264fcc229d72f72741ef20b5c4bd6a2d81a19e395ebd70d0e6d3b

Observation eac388a9-3005-4ad9-813e-57f4b71fb12c · outbound

This paper cites FrequencyBooster: Full-Frequency Modeling for High-Fidelity Pixel Diffusion.

Energy-Guided Flow Matching FrequencyBooster: Full-Frequency Modeling for High-Fidelity Pixel Diffusion

Reference 55

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source=arxiv_source observed=2026-08-10T04:33:41.386097Z digest=sha256:6f0df8fef5585318f0ca2c89fb710bd6f472b2a2708c6c946e8f84006c5335c0

Observation c338bf09-83f6-4a33-b736-b420c040a617 · outbound

This paper cites arXiv preprint arXiv:2512.10794 , year=.

Energy-Guided Flow Matching arXiv preprint arXiv:2512.10794 , year=

Reference 56

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T04:33:41.389705Z digest=sha256:44637ee565942e97c7867bccc6ec4849ba9aad80b8be487e9a9988c661a86036

Observation 1270538a-8ce2-46f6-b741-63a18ea966e4 · outbound

This paper cites Registers Matter for Pixel-Space Diffusion Transformers.

Energy-Guided Flow Matching Registers Matter for Pixel-Space Diffusion Transformers

Reference 57

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source=arxiv_source observed=2026-08-10T04:33:41.392648Z digest=sha256:94dbb4d8f566d482ebace3eede862ae3948da7e7ed23a0dfa2da6ba68830cd9e

Observation 0c01e08f-3829-43aa-b6a3-a032722abf79 · outbound

This paper cites HiDream-O1-Image: A Natively Unified Image Generative Foundation Model with Pixel-level Unified Transformer.

Energy-Guided Flow Matching HiDream-O1-Image: A Natively Unified Image Generative Foundation Model with Pixel-level Unified Transformer

Reference 58

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no resolver link, observed 2026-08-10T04:33:41.395740Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T04:33:41.395740Z digest=sha256:d14de66acc52d3d56cff401e8d7f34d0f8dc7afef7cb6ba407cd8bbfbc6e9f4d

Observation e41b0469-0dc3-453a-b244-522a58261fba · outbound

This paper cites Pixel-Space Diffusion Transformers.

Energy-Guided Flow Matching Pixel-Space Diffusion Transformers

Reference 59

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no resolver link, observed 2026-08-10T04:33:41.399120Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T04:33:41.399120Z digest=sha256:74460da8fa3c862643a268efccea8868fb76cc8c1ecece83315d611e27c27fae

Observation 9d6cf075-8d30-4c48-bcc7-64877f968fc6 · outbound

This paper cites arXiv preprint arXiv:2510.04504 , year=.

Energy-Guided Flow Matching arXiv preprint arXiv:2510.04504 , year=

Reference 60

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source=arxiv_source observed=2026-08-10T04:33:41.402788Z digest=sha256:f50c4cc692aad45450b64f2e3a0210b6264944d2e60692b9dd1306c9628bfa4c

Observation 62c0c983-69a5-4b55-b0c8-7e5649c6f8b0 · outbound

This paper cites LiWi: Layering in the Wild.

Energy-Guided Flow Matching LiWi: Layering in the Wild

Reference 61

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T04:33:41.405514Z digest=sha256:d54f61cce1b59c241142957d5e5e4ac3c19fd502f18c556faa49e560c33bab9a

Observation 55c9671d-e9fa-495d-af73-bb43ff452888 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Energy-Guided Flow Matching Gemma 2: Improving Open Language Models at a Practical Size

Reference 62

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no resolver link, observed 2026-08-10T04:33:41.409052Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T04:33:41.409052Z digest=sha256:407efa31b1a746d5fe2cea6cce1525a5e5b1a4e7a505aafa66bbea4151960f0e

Observation 66b77d46-8a79-4e4b-adbd-916662672697 · outbound

This paper cites BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset.

Energy-Guided Flow Matching BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset

Reference 63

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source=arxiv_source observed=2026-08-10T04:33:41.412406Z digest=sha256:80db18fa2494636f0519d580a55909297c9e63f19365e9fd318ddd44b8bbcedf

Pith citing papers

No inbound Pith citation observations are available.