Paper Citation Record · LEDGER

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models

As of 9 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2602.02685.

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

pith.paper-citation-record.v1
2602.02685 v3

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:23:15.085024Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T22:46:36.367934Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-29T22:54:01.325706Z

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy0
unresolved31
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 16321eb0-e82b-4e83-a854-6827fa83c11e · outbound

This paper cites Diff-MoE: Diffusion transformerwithtime-awareandspace-adaptiveexperts.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Diff-MoE: Diffusion transformerwithtime-awareandspace-adaptiveexperts

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:11.746625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bfbc820-ee54-4bf0-829b-62c547d29958 · outbound

This paper cites A., Levinson, N., and Teichmann, T.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models A., Levinson, N., and Teichmann, T

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:11.877434Z

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Unavailable: canonical work link unavailable.

Observation de639413-c480-4c91-98cd-b5d4a8893619 · outbound

This paper cites StableMoE: Stable Routing Strategy for Mixture of Experts.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models StableMoE: Stable Routing Strategy for Mixture of Experts

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:11.988438Z

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Observation a9e17225-13db-4e3d-bf24-5f85fdc4c564 · outbound

This paper cites Efficient and accurate estimation of lipschitz constants for deep neural networks.Advances in neural information processing systems, 32, 2019.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Efficient and accurate estimation of lipschitz constants for deep neural networks.Advances in neural information processing systems, 32, 2019

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:12.111151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51452248-96c9-4bc2-b95e-4211cd843cd1 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.Journal of Machine Learning Research, 23(120):1–39, 2022.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.Journal of Machine Learning Research, 23(120):1–39, 2022

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:12.240991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13d40263-7642-4b4a-9034-658017713c9f · outbound

This paper cites Scaling Diffusion Transformers to 16 Billion Parameters.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Scaling Diffusion Transformers to 16 Billion Parameters

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:12.364687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df79c7fe-8e99-4e77-9085-468a2ccb7f28 · outbound

This paper cites P.Solving ordinary differential equations I: Nonstiff problems.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models P.Solving ordinary differential equations I: Nonstiff problems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:12.472628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34ebbe09-e702-4e9e-b402-2aafe3ddab39 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:12.559795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a21c1785-3a26-4a64-8855-942d3aaa4383 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Classifier-Free Diffusion Guidance

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:12.598391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f88005e-48b3-4591-b55d-59d43cdb81cc · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:12.713149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 326aa4a1-8bed-479c-a1ed-5b70fd028b49 · outbound

This paper cites Paris: A Decentralized Trained Open-Weight Diffusion Model.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Paris: A Decentralized Trained Open-Weight Diffusion Model

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:12.827343Z

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Observation 568daa2f-e38f-4ef6-8dd6-8609f6d2a52f · outbound

This paper cites and Dimakis, A.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models and Dimakis, A

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:12.916860Z

Source-reported events for the cited work

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Observation 2ccce7a2-45c8-4863-8289-fed2e41ceab3 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.Advances in neural information processing systems, 35:26565–26577, 2022.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Elucidating the design space of diffusion-based generative models.Advances in neural information processing systems, 35:26565–26577, 2022

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:13.013752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55b2b3d3-cebe-44cb-9cac-f051b05973ad · outbound

This paper cites K., Zaheer, M., Sanjabi, M., Talwalkar, A., and Smith, V.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models K., Zaheer, M., Sanjabi, M., Talwalkar, A., and Smith, V

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:13.132398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ba6bb75-e26e-4561-99b7-6ae00a8b59f5 · outbound

This paper cites Flow Matching for Generative Modeling.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Flow Matching for Generative Modeling

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:13.248163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22b43a3d-73cb-413e-a705-07fbdd49f066 · outbound

This paper cites Efficient training of diffusion mixture-of-experts models: A practical recipe.arXiv preprint arXiv:2512.01252, 2025.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Efficient training of diffusion mixture-of-experts models: A practical recipe.arXiv preprint arXiv:2512.01252, 2025

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:13.350098Z

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Observation 9b8f4271-5073-4cfc-aeda-cc7c133a7b88 · outbound

This paper cites Decentralized diffusion models.Proceed- ings of the Computer Vision and Pattern Recognition Conference, pp.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Decentralized diffusion models.Proceed- ings of the Computer Vision and Pattern Recognition Conference, pp

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:13.453130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0ff97a1-234f-452f-b445-3fb15709221f · outbound

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

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models DINOv2: Learning Robust Visual Features without Supervision

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:13.522313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f1df4a1-25c5-4bf2-b396-59cfa3399870 · outbound

This paper cites and Xie, S.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models and Xie, S

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:13.621007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2489c69d-fcd4-41ca-afef-3d27d653437e · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in neural information processing systems, 35: 25278–25294, 2022.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in neural information processing systems, 35: 25278–25294, 2022

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:13.741071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce92ed19-a708-400a-b4a4-966871d617f9 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:13.890244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 507dda89-2edd-45ed-83ea-d018ff14c706 · outbound

This paper cites DiffMoE: Dynamic Token Selection for Scalable Diffusion Transformers.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models DiffMoE: Dynamic Token Selection for Scalable Diffusion Transformers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:14.061080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84bee5da-76ed-4a51-abd5-4291f9aa540b · outbound

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

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Score-Based Generative Modeling through Stochastic Differential Equations

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:14.204545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0908f43c-c5cb-4d8f-b0c3-76dde563e2ef · outbound

This paper cites EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:14.304167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecc05f40-3333-47a2-8660-39d283aad941 · outbound

This paper cites L., and Ryu, E.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models L., and Ryu, E

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:14.411825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f97dcc0-1ed6-47a2-a190-46a7637da123 · outbound

This paper cites and Scaman, K.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models and Scaman, K

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:14.534622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 558a8eb3-5ff3-488f-8de8-bbe90da7b3de · outbound

This paper cites Lipschitz singularities in diffusion models.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Lipschitz singularities in diffusion models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:14.696352Z

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Observation e30d2141-e45a-462f-ba1a-237d9c7685cd · outbound

This paper cites Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:14.814561Z

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Unavailable: canonical work link unavailable.

Observation af4de75d-9d36-496f-8f7c-d76335342501 · outbound

This paper cites A., Shechtman, E., and Wang, O.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models A., Shechtman, E., and Wang, O

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:14.902790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0337679b-c8fd-427c-8e94-2f0c0c4e6afe · outbound

This paper cites Dense2MoE: Restructuring diffusion transformer to moe for efficient text-to-image generation.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Dense2MoE: Restructuring diffusion transformer to moe for efficient text-to-image generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:14.975037Z

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Unavailable: canonical work link unavailable.

Observation 935a6a7f-45ca-46e9-b275-7523c317d43b · outbound

This paper cites M., Le, Q.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models M., Le, Q

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:15.085024Z

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Pith citing papers

Observation c56a2b16-5a49-44a4-b398-112ade3d8f41 · inbound

Paris 2.0: A Decentralized Diffusion Model for Video Generation cites this paper.

Paris 2.0: A Decentralized Diffusion Model for Video Generation Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-08-03T03:15:35.664613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.