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Paper Citation Record · LEDGER

Optimization-Free Diffusion Model -- A Perturbation Theory Approach

As of 10 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2505.23652.

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

pith.paper-citation-record.v1
2505.23652 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:48:47.263640Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

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External citation measurements

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Outbound references

Observation 0fe2c31b-a8e6-47c5-959a-123aeec12734 · outbound

This paper cites Journal of Machine Learning Research6(4) (2005).

Optimization-Free Diffusion Model -- A Perturbation Theory Approach Journal of Machine Learning Research6(4) (2005)

Reference 1

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Observation e421ffb8-9113-4b71-8ece-227629fa5ebd · outbound

This paper cites Stochastic Processes and their Applications12(3), 313–326 (1982).

Optimization-Free Diffusion Model -- A Perturbation Theory Approach Stochastic Processes and their Applications12(3), 313–326 (1982)

Reference 2

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Observation fd24f5af-7b11-4236-aec5-e75862aea475 · outbound

This paper cites Advances in neural information processing systems32(2019).

Optimization-Free Diffusion Model -- A Perturbation Theory Approach Advances in neural information processing systems32(2019)

Reference 3

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Observation 65a006e2-c86e-4db2-8b2b-f5cab0632933 · outbound

This paper cites Plug and Play Language Models: A Simple Approach to Controlled Text Generation.

Optimization-Free Diffusion Model -- A Perturbation Theory Approach Plug and Play Language Models: A Simple Approach to Controlled Text Generation

Reference 4

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Observation a7089ba2-ca9d-4aad-b364-3e6a11351226 · outbound

This paper cites Advances in neural information processing systems33, 12438–12448 (2020).

Optimization-Free Diffusion Model -- A Perturbation Theory Approach Advances in neural information processing systems33, 12438–12448 (2020)

Reference 5

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Observation 90aa1b05-50e6-4f48-afcb-559748e3b89a · outbound

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

Optimization-Free Diffusion Model -- A Perturbation Theory Approach Score-Based Generative Modeling through Stochastic Differential Equations

Reference 6

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Observation b5e2adac-72ea-4a2a-8830-a9693dc494a3 · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

Optimization-Free Diffusion Model -- A Perturbation Theory Approach SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 7

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Observation d78f8d61-d58b-456d-b5d5-9ee7ef2b990c · outbound

This paper cites Advances in Neural Information Processing Systems35, 22870–22882 (2022).

Optimization-Free Diffusion Model -- A Perturbation Theory Approach Advances in Neural Information Processing Systems35, 22870–22882 (2022)

Reference 8

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

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Observation 370a1d59-ccb5-4fab-b0ec-5db4a93159c3 · outbound

This paper cites In: International Conference on Algorithmic Learning Theory, pp.

Optimization-Free Diffusion Model -- A Perturbation Theory Approach In: International Conference on Algorithmic Learning Theory, pp

Reference 9

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Observation 5339fbf5-4462-4f28-9afa-10cc63a5e461 · outbound

This paper cites Advances in neural information processing systems33, 6840–6851 (2020).

Optimization-Free Diffusion Model -- A Perturbation Theory Approach Advances in neural information processing systems33, 6840–6851 (2020)

Reference 10

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Observation ef9fc18a-91cd-4101-91e0-a9352e98391d · outbound

This paper cites In: International Confer- ence on Machine Learning, pp.

Optimization-Free Diffusion Model -- A Perturbation Theory Approach In: International Confer- ence on Machine Learning, pp

Reference 11

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Observation e7f31d14-ab4f-443d-aa04-6a57e23ebbc4 · outbound

This paper cites Advances in neural information processing systems 34, 1415–1428 (2021).

Optimization-Free Diffusion Model -- A Perturbation Theory Approach Advances in neural information processing systems 34, 1415–1428 (2021)

Reference 12

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Observation f9ef8a8a-b2bf-4d3b-a308-c67d007fd9fa · outbound

This paper cites Advances in neural information processing systems34, 11287–11302 (2021) 35.

Optimization-Free Diffusion Model -- A Perturbation Theory Approach Advances in neural information processing systems34, 11287–11302 (2021) 35

Reference 13

Resolution
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Observation d15eb520-6c73-455f-b255-252f0e2e5002 · outbound

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Optimization-Free Diffusion Model -- A Perturbation Theory Approach Flow Matching for Generative Modeling

Reference 14

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Observation 704cb718-d863-475b-9da8-769b9abfc6a0 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Optimization-Free Diffusion Model -- A Perturbation Theory Approach Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 15

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Observation 75e3eb90-dc96-4188-a653-f2da9fe7c47c · outbound

This paper cites Rectified Flow: A Marginal Preserving Approach to Optimal Transport.

Optimization-Free Diffusion Model -- A Perturbation Theory Approach Rectified Flow: A Marginal Preserving Approach to Optimal Transport

Reference 16

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Observation 0c251afd-d58c-42d0-82e1-65b467feb643 · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Optimization-Free Diffusion Model -- A Perturbation Theory Approach Building Normalizing Flows with Stochastic Interpolants

Reference 17

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Observation 722e644f-f4b1-44f0-ab4c-19045688fabb · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

Optimization-Free Diffusion Model -- A Perturbation Theory Approach Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 18

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Observation b14f7935-7ea8-4459-be9c-c38be5ad506b · outbound

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Optimization-Free Diffusion Model -- A Perturbation Theory Approach Stochastic interpolants with data-dependent couplings

Reference 19

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Observation 6411d557-0087-4bb2-92bd-69dc6327e68e · outbound

This paper cites ACM Computing Surveys56(4), 1–39 (2023).

Optimization-Free Diffusion Model -- A Perturbation Theory Approach ACM Computing Surveys56(4), 1–39 (2023)

Reference 20

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Observation 2d97727e-6d70-47bd-b85f-95cc43e7abbb · outbound

This paper cites Foundations and Trends®in Computer Graphics and Vision16(4), 322–471 (2024).

Optimization-Free Diffusion Model -- A Perturbation Theory Approach Foundations and Trends®in Computer Graphics and Vision16(4), 322–471 (2024)

Reference 21

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Observation affc10e8-f842-48e1-bfc3-268c26b9872c · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2025).

Optimization-Free Diffusion Model -- A Perturbation Theory Approach IEEE Transactions on Pattern Analysis and Machine Intelligence (2025)

Reference 22

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This paper cites In: International Conference on Machine Learning, pp.

Optimization-Free Diffusion Model -- A Perturbation Theory Approach In: International Conference on Machine Learning, pp

Reference 23

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Observation df5606d7-9791-429c-8c68-e764991447ef · outbound

This paper cites In: International Conference on Machine Learning, pp.

Optimization-Free Diffusion Model -- A Perturbation Theory Approach In: International Conference on Machine Learning, pp

Reference 24

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

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Observation 2d2af8a2-7e50-43af-8809-f76415aeef82 · outbound

This paper cites Generative Modeling with Denoising Auto-Encoders and Langevin Sampling.

Optimization-Free Diffusion Model -- A Perturbation Theory Approach Generative Modeling with Denoising Auto-Encoders and Langevin Sampling

Reference 25

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Observation 2144cd00-941c-4bea-aff9-be5666380382 · outbound

This paper cites Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization.

Optimization-Free Diffusion Model -- A Perturbation Theory Approach Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization

Reference 26

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Observation 7c656561-07fd-4685-a376-3cc18bbee5ed · outbound

This paper cites An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization.

Optimization-Free Diffusion Model -- A Perturbation Theory Approach An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 27

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Observation bb4deaec-b6e3-4c97-b694-f4220d4fe545 · outbound

This paper cites Texts in applied mathe- matics60(2014).

Optimization-Free Diffusion Model -- A Perturbation Theory Approach Texts in applied mathe- matics60(2014)

Reference 28

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Observation 8dc2fef8-2ecb-4152-82c1-c9a71baf5059 · outbound

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Optimization-Free Diffusion Model -- A Perturbation Theory Approach Cambridge university press, ??? (2004)

Reference 29

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This paper cites Foundations and Trends®in Machine Learning1(1–2), 1–305 (2008).

Optimization-Free Diffusion Model -- A Perturbation Theory Approach Foundations and Trends®in Machine Learning1(1–2), 1–305 (2008)

Reference 30

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This paper cites arXiv preprint arXiv:2305.17884 (2023).

Optimization-Free Diffusion Model -- A Perturbation Theory Approach arXiv preprint arXiv:2305.17884 (2023)

Reference 31

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This paper cites arXiv preprint arXiv:2304.05305 (2023).

Optimization-Free Diffusion Model -- A Perturbation Theory Approach arXiv preprint arXiv:2304.05305 (2023)

Reference 32

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This paper cites Proceedings of the National Academy of Sciences104(51), 20167–20172 (2007).

Optimization-Free Diffusion Model -- A Perturbation Theory Approach Proceedings of the National Academy of Sciences104(51), 20167–20172 (2007)

Reference 33

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Observation 51012b59-8352-4300-943a-ac666a4ac48d · outbound

This paper cites SIAM review53(2), 217–288 (2011) 37.

Optimization-Free Diffusion Model -- A Perturbation Theory Approach SIAM review53(2), 217–288 (2011) 37

Reference 34

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verified fuzzy
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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.