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Paper Citation Record · LEDGER

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 7 inbound Pith citation observations for arXiv:2502.05749.

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

pith.paper-citation-record.v1
2502.05749 v5

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:14:31.591228Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:13:04.048571Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:54:40.556877Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved25
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  • malformed identifier0
  • metadata mismatch1

External citation measurements

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Outbound references

Observation c66775ef-d586-4685-8434-5feb5376105f · outbound

This paper cites and Timofte, R.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control and Timofte, R

Reference 1

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Observation 95c1cd64-d4f7-4ad0-8e58-e3e9494d3f78 · outbound

This paper cites ftxt + htm + g2 t xT − e ¯ft:T xt − me ¯fT ¯ht:T e− ¯ft:T (γ−1 + e2 ¯fT ¯g2 t:T ) − g2 t ∇xt log p(xt | xT ) # − gtϵt ≈ xt −.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control ftxt + htm + g2 t xT − e ¯ft:T xt − me ¯fT ¯ht:T e− ¯ft:T (γ−1 + e2 ¯fT ¯g2 t:T ) − g2 t ∇xt log p(xt | xT ) # − gtϵt ≈ xt −

Reference 2

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Observation 99c94198-3535-4637-a82d-85e4000c06d1 · outbound

This paper cites Score-Based Diffusion Models as Principled Priors for Inverse Imaging.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Score-Based Diffusion Models as Principled Priors for Inverse Imaging

Reference 8

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source=pdf_text observed=2026-08-08T18:14:31.504998Z digest=sha256:b944e66dd7a7617b3e4424612817e28c7327f2cb913dfdb9df78821d8c3e199b

Observation 8d1092e8-506e-4837-a39c-7190a59b2ec5 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Adam: A Method for Stochastic Optimization

Reference 13

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source=pdf_text observed=2026-08-08T18:14:31.523466Z digest=sha256:ee941fb9d9796b6898b707526502c7bb68e0df11419aa7f7cdbceb0b2cc02a0a

Observation fff2e118-9e6b-4734-928b-32dd057648d0 · outbound

This paper cites Image Restoration with Mean-Reverting Stochastic Differential Equations.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Image Restoration with Mean-Reverting Stochastic Differential Equations

Reference 16

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source=pdf_text observed=2026-08-08T18:14:31.534686Z digest=sha256:44738a626583167f98fcb0b24083a26becda0b9d35a0543a204764e99be18b7f

Observation 269e22a4-0822-46e8-82b8-e1148df1ecca · outbound

This paper cites RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control

Reference 19

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source=pdf_text observed=2026-08-08T18:14:31.546354Z digest=sha256:1e8c89e8b2e8282ba270658cfd1212966f3206e687fce0d2ee4a30b97f20730a

Observation cc81948b-6b77-4080-9da6-08d07737230f · outbound

This paper cites Gradient-Free Classifier Guidance for Diffusion Model Sampling.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Gradient-Free Classifier Guidance for Diffusion Model Sampling

Reference 20

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source=pdf_text observed=2026-08-08T18:14:31.551294Z digest=sha256:96fb64e6fe8a741e375e917cc242309ebccbe139cd82598930b34c55f6777ad2

Observation 780d9680-13cc-404a-b7f5-08956c2f4c8f · outbound

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

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Score-Based Generative Modeling through Stochastic Differential Equations

Reference 22

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source=pdf_text observed=2026-08-08T18:14:31.558466Z digest=sha256:f9d26d2da0eb54d579cbc526749be28ceb38b729c057b0bec073a6d711a03eb4

Observation 6f5d0569-7cbf-494c-a25b-99d3df5e3874 · outbound

This paper cites AffordDP: Generalizable Diffusion Policy with Transferable Affordance.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control AffordDP: Generalizable Diffusion Policy with Transferable Affordance

Reference 23

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source=pdf_text observed=2026-08-08T18:14:31.562118Z digest=sha256:7ee071297b3769f9742a0b97a173d69be79d8d7dbb37889a5bcc6d10e370d463

Observation c22a9554-92f1-4122-9c2f-bfe104b3c991 · outbound

This paper cites Policy Representation via Diffusion Probability Model for Reinforcement Learning.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Policy Representation via Diffusion Probability Model for Reinforcement Learning

Reference 24

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source=pdf_text observed=2026-08-08T18:14:31.565912Z digest=sha256:6eb0e0ce788f38c7980c66d46049e301dc6398f383519d6402f4fa4890372458

Observation c6768908-7be0-4c7d-860e-d44898b31d65 · outbound

This paper cites Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge

Reference 25

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source=pdf_text observed=2026-08-08T18:14:31.569646Z digest=sha256:a128789abf8d7e9c07982677a7e5671848f62fd0be6f901a03c279f2bcce21f4

Observation aaba6128-714c-4aaa-b862-ad534c99e62e · outbound

This paper cites 3d diffusion policy: Generalizable visuomotor policy learning via simple 3d representations.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control 3d diffusion policy: Generalizable visuomotor policy learning via simple 3d representations

Reference 26

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0e00c3f7-4acf-4891-a6ae-f242ded748d8 · outbound

This paper cites Denoising Diffusion Bridge Models.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Denoising Diffusion Bridge Models

Reference 28

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source=pdf_text observed=2026-08-08T18:14:31.580644Z digest=sha256:d125caab82ad3f124466054fa97360dbbf85cb575585aa29bfe6a300ec2c89d2

Observation add1e86b-f381-40f3-a60c-9af7ec34cefa · outbound

This paper cites Page 13 – A.1 Proof of Theorem 4.1.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Page 13 – A.1 Proof of Theorem 4.1

Reference 29

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source=pdf_text observed=2026-08-08T18:14:31.583950Z digest=sha256:c3034aa35ab08fbd3f1d0427cf6103f6540cb67e3d218775a451389d2c4bef85

Observation edce7f5d-a4a5-41de-abed-fd604adb840f · outbound

This paper cites According to Appendix A.7, we’ve learned that xu t = e−¯θt 1 + γ ¯σ2 t:T 1 + γ ¯σ2 T x0 + 1 − e−¯θt 1 + γ ¯σ2 t:T 1 + γ ¯σ2 T xT + ¯σ2 t ¯σ2 t:T ¯σ2 T ϵ.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control According to Appendix A.7, we’ve learned that xu t = e−¯θt 1 + γ ¯σ2 t:T 1 + γ ¯σ2 T x0 + 1 − e−¯θt 1 + γ ¯σ2 t:T 1 + γ ¯σ2 T xT + ¯σ2 t ¯σ2 t:T ¯σ2 T ϵ

Reference 31

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source=pdf_text observed=2026-08-08T18:14:31.591228Z digest=sha256:7cb51a696dc9b106d7ed7891bdcdc71372407988f2eb0298451ce359bd65945a

Observation fd6034e5-9dee-4f8b-9c44-7a3e032b7a9a · outbound

This paper cites Li, X., Ren, Y ., Jin, X., Lan, C., Wang, X., Zeng, W., Wang, X., and Chen, Z.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Li, X., Ren, Y ., Jin, X., Lan, C., Wang, X., Zeng, W., Wang, X., and Chen, Z

Reference 1972

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source=pdf_text observed=2026-08-08T18:14:31.531064Z digest=sha256:c8b20c704790517b192cbc5a1cafce4dcb7f16d9b33b5db4b1a97a86eb05525f

Observation c464cb38-4779-4123-850a-2608d309c4d4 · outbound

This paper cites An optimal control perspective on diffusion-based generative modeling.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control An optimal control perspective on diffusion-based generative modeling

Reference 1982

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source=pdf_text observed=2026-08-08T18:14:31.480185Z digest=sha256:9406f72cee8dfd4be76e31fdecc6e2368fefbdcff1a8c6c0331069b59040c2b1

Observation cd93130c-311a-4641-a0f5-4edb753bedb9 · outbound

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

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 1988

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source=pdf_text observed=2026-08-08T18:14:31.475759Z digest=sha256:9b3c4e4d4b028ddd71559612801b309b187c75da312140a5d5baaf308caf2ea6

Observation b38a3f50-a721-44f4-a705-0a6cc35c543b · outbound

This paper cites Stochastic Optimal Control for Diffusion Bridges in Function Spaces.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Stochastic Optimal Control for Diffusion Bridges in Function Spaces

Reference 2003

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source=pdf_text observed=2026-08-08T18:14:31.538584Z digest=sha256:acfae125c5ea35abb7da6ec73dc53028a6e2ea8adb50bb3c6943ccb2d9fc38f2

Observation 1bef2f63-796c-4692-91fa-e8ff150830d1 · outbound

This paper cites Classifier-Free Guidance is a Predictor-Corrector.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Classifier-Free Guidance is a Predictor-Corrector

Reference 2004

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source=pdf_text observed=2026-08-08T18:14:31.484728Z digest=sha256:40a1ad9367bafaf199e2d92468c0062750c420943a922360e5f4048348ec66b7

Observation c79681a6-eb7e-4b92-b3ae-bb6a90ab81ba · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 2008

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source=pdf_text observed=2026-08-08T18:14:31.516772Z digest=sha256:241805f51329e16cca46206707bc79f4f0b35b4e1997d01b81a0fb2b8f11721f

Observation 953b98f4-12bb-4e25-953d-bdc750634c45 · outbound

This paper cites PromptIR: Prompting for All-in-One Blind Image Restoration.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control PromptIR: Prompting for All-in-One Blind Image Restoration

Reference 2014

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source=pdf_text observed=2026-08-08T18:14:31.542251Z digest=sha256:ea028ea26bdf41614cfb58c13e38a25fa9b3b8c5f5692acb7214df6498e59302

Observation 30d92853-b303-47e3-8cde-f4edf852c650 · outbound

This paper cites R., Pariset, M., Hsieh, Y .-P., Martinez, M.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control R., Pariset, M., Hsieh, Y .-P., Martinez, M

Reference 2015

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source=pdf_text observed=2026-08-08T18:14:31.555097Z digest=sha256:8d2573b113037858fb240148081e7b20c348c68cdec50b935244068526dbb161

Observation 996c467e-291a-4af0-a30c-36e309eaea82 · outbound

This paper cites Classifier-Free Diffusion Guidance.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Classifier-Free Diffusion Guidance

Reference 2017

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source=pdf_text observed=2026-08-08T18:14:31.512886Z digest=sha256:0adcafb8426505e4945b43aedb8c455777c2a8d5e2d1a19403c8ffd27d9ccf56

Observation f8cfe7e5-6aaa-4396-a969-35416b20b881 · outbound

This paper cites Diffusion Bridge Implicit Models.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Diffusion Bridge Implicit Models

Reference 2018

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source=pdf_text observed=2026-08-08T18:14:31.577416Z digest=sha256:e901096df4fe11bfc921b6b912eb9903cf850340aaad726a4765394c0240f57c

Observation f4b72a8b-a7b6-47f0-bad5-11f54d14ba25 · outbound

This paper cites A Style-Based Generator Architecture for Generative Adversarial Networks.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control A Style-Based Generator Architecture for Generative Adversarial Networks

Reference 2019

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source=pdf_text observed=2026-08-08T18:14:31.519846Z digest=sha256:aea0a5ce0a9a133d6bdf06e8174342b1dfada3112a1b632e006ebe280db28a61

Observation 63e24574-ac98-4d8d-8bb4-e0477fc927ed · outbound

This paper cites MaskGAN: Towards Diverse and Interactive Facial Image Manipulation.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

Reference 2020

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source=pdf_text observed=2026-08-08T18:14:31.527047Z digest=sha256:b5cf622792cc3167464366872b30166fbd26cc033c97073218e5d04b726a7819

Observation b124b0c6-8e3c-4585-b71a-173d96a826ff · outbound

This paper cites CCDM: Continuous Conditional Diffusion Models for Image Generation.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control CCDM: Continuous Conditional Diffusion Models for Image Generation

Reference 2021

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source=pdf_text observed=2026-08-08T18:14:31.500636Z digest=sha256:d07b21b778c5810cccb89b889c956b854a0ace9da8162c936c0afd29eb13d6c4

Observation 50627d0c-1b9b-4891-9df7-b881cd5964ab · outbound

This paper cites Simulating Diffusion Bridges with Score Matching.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Simulating Diffusion Bridges with Score Matching

Reference 2022

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source=pdf_text observed=2026-08-08T18:14:31.508826Z digest=sha256:2b5f39b23f4412f83fc26ede2d865eea657f5306f5842659f900565b4744683e

Observation 4fc16237-5a8e-4da0-a7aa-4ce28da7e06d · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 2023

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source=pdf_text observed=2026-08-08T18:14:31.496508Z digest=sha256:5c0c93702c9df6d619c9c27a1e228ef753ce658d6c3905bc858548951ad6b697

Observation 5fbce7b0-1b27-4767-92a9-2b611d44f076 · outbound

This paper cites Don't Start from Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion.

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Don't Start from Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion

Reference 2024

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source=pdf_text observed=2026-08-08T18:14:31.488650Z digest=sha256:3560938cfc0c4795fd7266f5feb060e27f7b5ec964cc18eb750e23f5cdcf3e83

Pith citing papers

Observation ac9482bf-5ba1-4453-856c-6c3187494c95 · inbound

Towards Immersive Human-X Interaction: A Real-Time Framework for Physically Plausible Motion Synthesis cites this paper.

Towards Immersive Human-X Interaction: A Real-Time Framework for Physically Plausible Motion Synthesis UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control

Reference 76

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source=arxiv_source observed=2026-08-06T05:13:04.048571Z digest=sha256:a2e35ae3af6d96fc06596844361bd66813730c3323f05a561a6ff276b23b535a

Observation 80557907-26a2-4a45-9cb8-56bd5dd563ff · inbound

Diffusion Bridge or Flow Matching? A Unifying Framework and Comparative Analysis cites this paper.

Diffusion Bridge or Flow Matching? A Unifying Framework and Comparative Analysis UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control

Reference 33

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source=pdf_text observed=2026-08-04T13:52:12.294794Z digest=sha256:b836d821968ef38b9b7aa6f6c3b24972017babb34fcc8df4276a24bbc47a8e9c

Observation a9f10a82-c11b-4cc8-93b0-e723a818df81 · inbound

Training-Free Reward-Guided Image Editing via Trajectory Optimal Control cites this paper.

Training-Free Reward-Guided Image Editing via Trajectory Optimal Control UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control

Reference 14

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arxiv_id, observed 2026-05-18T13:16:24.314873Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T13:14:57.657816Z digest=sha256:4dd7d35d5e3affb2a1bb4aedb81c08eed1aa79c6c73cc77b4d4b5425263b32ad

Observation 9b40289b-5112-4156-9956-55c53270694e · inbound

Unifying Deep Stochastic Processes for Image Enhancement cites this paper.

Unifying Deep Stochastic Processes for Image Enhancement UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control

Reference 44

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arxiv_id, observed 2026-05-11T17:01:10.093702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-09T14:09:12.744688Z digest=sha256:2a414aec34d6d48b39a660d12972d41323e5ddd2c5797e8e5824695a1e5ddb00

Observation 499c6309-8728-4c80-99c8-e80318e0b997 · inbound

Local Intrinsic Dimension Unveils Hallucinations in Diffusion Models cites this paper.

Local Intrinsic Dimension Unveils Hallucinations in Diffusion Models UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control

Reference 112

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:50:39.547800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-08T18:06:16.734687Z digest=sha256:9151eb45d78d9a1b676282a24599872c89dce13f4ef6e3d0fa00d524598cd566

Observation 01339159-86c9-4269-a34d-b509d0809913 · inbound

Mind the Gap: Quantifying the Domain Gap in Cross-Sensor Diffusion Super-Resolution cites this paper.

Mind the Gap: Quantifying the Domain Gap in Cross-Sensor Diffusion Super-Resolution UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:43:55.292760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T04:38:29.728430Z digest=sha256:05ff48fc836b8367a5beb7bf300ceb801ac6bd1bc6242f0b4aadb5c7d1ebbb1f

Observation b4ddb61c-f35f-4394-8c9e-38a956fe69e6 · inbound

Stochastic Optimal Control Sampling for Diffusion Inverse Problems cites this paper.

Stochastic Optimal Control Sampling for Diffusion Inverse Problems UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:54:40.558212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T09:45:27.322571Z digest=sha256:a0deb1f54afce32c2391072352db52a66e8539c4ed6671a3df9de7e39f16a3ae