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Paper Citation Record · LEDGER

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling

As of 11 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.23937.

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

pith.paper-citation-record.v1
2607.23937 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:33:09.639296Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved27
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ebf498e4-b9ab-486b-9b20-a31d84a8bd07 · outbound

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

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling European Conference on Computer Vision , pages=

Reference 1

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no resolver link, observed 2026-07-31T23:33:07.011786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:07.011786Z digest=sha256:2592a30150550701e3f74ab8b7f1ef5bfef62dc39caeec082cece5d3b8da5525

Observation b29ecde6-cde9-44cb-86d7-fbaf65d8be83 · outbound

This paper cites an unresolved cited work.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling Unresolved cited work

Reference 2

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parse uncertain
no resolver link, observed 2026-07-31T23:33:07.068653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:07.068653Z digest=sha256:d8108dd354cff31943877dbf233b43a0f12a6ae690f21bb36afbbfc0328aded3

Observation 5a19298b-9bc0-4db2-8731-5302469a8c3e · outbound

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

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling Advances in neural information processing systems , volume=

Reference 3

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no resolver link, observed 2026-07-31T23:33:07.146720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:07.146720Z digest=sha256:ada99fb1307042cb49266a46e897e61b01c18adcc002e959561525e57545cc11

Observation 0952c661-c49b-49ba-ae81-9e17fb2f32a1 · outbound

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

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=

Reference 4

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no resolver link, observed 2026-07-31T23:33:07.226587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:07.226587Z digest=sha256:108d8b32e35782a8a0e998900497ee67999ad359ffc3265dbbf2db5339bb8544

Observation 7703b7e9-3e10-40b7-91d8-e782e8bd0cc9 · outbound

This paper cites Diversity-Preserved Distribution Matching Distillation for Fast Visual Synthesis.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling Diversity-Preserved Distribution Matching Distillation for Fast Visual Synthesis

Reference 5

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no resolver link, observed 2026-07-31T23:33:07.276582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:07.276582Z digest=sha256:25b011566ce26cb5c716de279fa2e5196a604216442c915aaa5e922870126201

Observation e588e90d-a09d-4600-b941-e0219eeb8283 · outbound

This paper cites 1.x-Distill: Breaking the Diversity, Quality, and Efficiency Barrier in Distribution Matching Distillation.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling 1.x-Distill: Breaking the Diversity, Quality, and Efficiency Barrier in Distribution Matching Distillation

Reference 6

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no resolver link, observed 2026-07-31T23:33:07.355143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:07.355143Z digest=sha256:07e92c6714ea7cd3a6c681034be0667c0dc63bd0793ef884a0a7bef448600507

Observation 27f459d9-42af-4faa-b3b1-bb1b5acf57e3 · outbound

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

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:07.435287Z digest=sha256:83a6f2b6298375a7123d7e622f2f87ad3db2aff209e4704db0a449456fe83227

Observation f16d8d3a-bda6-4656-96ce-21a2a72f9cc8 · outbound

This paper cites arXiv preprint arXiv:2510.03813 , year=.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling arXiv preprint arXiv:2510.03813 , year=

Reference 8

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no resolver link, observed 2026-07-31T23:33:07.484774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:07.484774Z digest=sha256:94aaec3d5031669e6d94163b956e44f661f3930863dea8f79ca7ea2688584882

Observation 47b8991d-76dd-4b59-8b46-6b0dfd563f9e · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling DINOv2: Learning Robust Visual Features without Supervision

Reference 9

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no resolver link, observed 2026-07-31T23:33:07.559398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:07.559398Z digest=sha256:315419faed615a277ef8c930df56e4133190bda6942fbb5505ce6bca01376a0e

Observation acf05ad1-0a02-4453-8d65-6d58dae3a70d · outbound

This paper cites International Conference on Learning Representations , volume=.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling International Conference on Learning Representations , volume=

Reference 10

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no resolver link, observed 2026-07-31T23:33:07.642149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:07.642149Z digest=sha256:dfd37b4f3e48383a1da3541033626780d4a0c4cc4c6ad99c0a93e7029dd994f3

Observation 5608cc70-e42c-42ae-976e-e058fd87ead4 · outbound

This paper cites Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance

Reference 11

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no resolver link, observed 2026-07-31T23:33:07.718877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:07.718877Z digest=sha256:8b0b0f2492088445821adef9826eafeee25b8e0a86171c2c596198d69bead341

Observation 39254490-d99e-4930-bce1-d10cf948f7a4 · outbound

This paper cites Scaling Group Inference for Diverse and High-Quality Generation.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling Scaling Group Inference for Diverse and High-Quality Generation

Reference 12

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no resolver link, observed 2026-07-31T23:33:07.790707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:07.790707Z digest=sha256:567dfeb2086b6e7b31e38d88b478528ffcd9a3e7037704880ef24b33dd9bba98

Observation e4841a06-0e01-481d-b2a2-55323919e8fb · outbound

This paper cites International Conference on Learning Representations , volume=.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling International Conference on Learning Representations , volume=

Reference 13

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no resolver link, observed 2026-07-31T23:33:07.887394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:07.887394Z digest=sha256:b97ba54f580c9964b94dde438ea79b2cb6655c9d8a1c1660f490319f2723f8e7

Observation b4c1b947-72c7-457e-a85f-4c651d927090 · outbound

This paper cites University of California, Irvine , volume=.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling University of California, Irvine , volume=

Reference 14

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no resolver link, observed 2026-07-31T23:33:07.969098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:07.969098Z digest=sha256:6a446abe94c60b21f2600a1d95eee76e075c0bf505c7aac1383e02364e456636

Observation 351e1835-f72b-4376-acdd-862c1f5512c2 · outbound

This paper cites A Fourier Space Perspective on Diffusion Models.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling A Fourier Space Perspective on Diffusion Models

Reference 15

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no resolver link, observed 2026-07-31T23:33:08.051477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:08.051477Z digest=sha256:294e8c668eb312a6f3d28cbd56e37d5015854d39c29e560f40a4d3948e8a2af7

Observation f614f200-2250-4ef4-9cf3-427b3ce290c7 · outbound

This paper cites LENS: Low-Frequency Eigen Noise Shaping for Efficient Diffusion Sampling.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling LENS: Low-Frequency Eigen Noise Shaping for Efficient Diffusion Sampling

Reference 16

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no resolver link, observed 2026-07-31T23:33:08.124759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:08.124759Z digest=sha256:03e2b38068b6cc09f899d70edf35f9cdc47bfc65199aeff1c9d58c54cbb1ae29

Observation ed2973bc-38ef-407b-af52-4505f3f5c168 · outbound

This paper cites 2008 , publisher=.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling 2008 , publisher=

Reference 17

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no resolver link, observed 2026-07-31T23:33:08.182192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:08.182192Z digest=sha256:5ddb79b59c3ed3ea6f377a7e2e63d6a7ada27a183de1ca09c70234118fe25d2a

Observation f94adb6a-2780-4a7b-b72d-6b260e56d48a · outbound

This paper cites 2023 , publisher=.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling 2023 , publisher=

Reference 18

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no resolver link, observed 2026-07-31T23:33:08.274729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:08.274729Z digest=sha256:0d0c57aba5ecd9451370b52dda3f892c3e77097e0ec6b04cc71ec5c00be0b720

Observation c9d291fc-53f7-4112-a9ea-6a7e8deb60a0 · outbound

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

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling Advances in Neural Information Processing Systems , volume=

Reference 19

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no resolver link, observed 2026-07-31T23:33:08.379737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:08.379737Z digest=sha256:6af5cadbeea645557f504b22fc66cd9a21e72d908f478c3a2ed8dd4fd0c74369

Observation b6371b61-772a-41f8-a27c-2fcfebd79b41 · outbound

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

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 20

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unresolved
no resolver link, observed 2026-07-31T23:33:08.545808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:08.545808Z digest=sha256:5778a70a3fde598c90b3fb121e7362df13cb66212beb928482f7415ab118511f

Observation 1974e8b1-b105-45e0-a48d-1107701b0640 · outbound

This paper cites DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

Reference 21

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no resolver link, observed 2026-07-31T23:33:08.725574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:08.725574Z digest=sha256:735ede90ea12e05fa85bcc7940818fd1b274473d81acefff7700b669f1cbe49a

Observation 47db4b06-c86e-4a87-a1aa-2313938535e0 · outbound

This paper cites The Vendi Score: A Diversity Evaluation Metric for Machine Learning.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling The Vendi Score: A Diversity Evaluation Metric for Machine Learning

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:08.914629Z digest=sha256:9c7f64ebe91bc8b18d75bd5ba7e0c927a665f96819ccc6db516249926f2c8e1e

Observation 5f3f20cf-1f62-4074-82fb-834f7ed2eb6d · outbound

This paper cites Proceedings of the 2021 conference on empirical methods in natural language processing , pages=.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling Proceedings of the 2021 conference on empirical methods in natural language processing , pages=

Reference 23

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no resolver link, observed 2026-07-31T23:33:09.088284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:09.088284Z digest=sha256:0269b77a1dba8b5a1b486730be6ec34298e1adb721ba5f7fb0451cd1dd33bbbd

Observation 4798c0aa-24c4-4dac-921b-02f226818e0f · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 24

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no resolver link, observed 2026-07-31T23:33:09.232014Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:09.232014Z digest=sha256:96d57f119e6de6d1a08504ab296ab9219870f20d29e93948f45d34554430797d

Observation 30393db7-d6c1-4f9a-89af-dbd8e5258d7b · outbound

This paper cites Negative Token Merging: Image-based Adversarial Feature Guidance.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling Negative Token Merging: Image-based Adversarial Feature Guidance

Reference 25

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no resolver link, observed 2026-07-31T23:33:09.368425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:09.368425Z digest=sha256:62d20495edba7b40c86bca098dbdae30575c517f294b1d64157dd48a0afb902e

Observation f92b3571-0aaf-427b-bb9b-f2c1dbfa77d3 · outbound

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

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling International conference on machine learning , pages=

Reference 26

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no resolver link, observed 2026-07-31T23:33:09.444058Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:09.444058Z digest=sha256:fecdf8d32fc642599eb648766c251130fe3363ec51fe7d877f22d0b1205c0147

Observation fa59b777-1b4b-4f05-882a-17d7c8282e94 · outbound

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

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Reference 27

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no resolver link, observed 2026-07-31T23:33:09.526982Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:09.526982Z digest=sha256:f3a263743901e630b822c3d70dcf7600b367d2916bab439cb661087f04c4e41a

Observation 2227fb66-ecc0-472b-9b6e-db482a9fe127 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 28

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no resolver link, observed 2026-07-31T23:33:09.639296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:33:09.639296Z digest=sha256:b79fa9a25dcfcc08f701d9dfddcd43744308c847ca7e508afbc19a8f017ce264

Pith citing papers

No inbound Pith citation observations are available.