Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control | Paper Citation Record

Observation 926fcfbb-a51e-4df5-a8a2-10758940f339 · inbound

DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization cites this paper.

DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:02:41.905768Z

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Observation 7506c608-ce5c-4129-87c8-ac9e18a7b4a0 · inbound

Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps cites this paper.

Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:45:17.667917Z

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Observation 3c05cb78-5fb9-46a7-8096-1385d0bf0de2 · inbound

Improving Video Generation with Human Feedback cites this paper.

Improving Video Generation with Human Feedback Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T15:30:02.896993Z

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Observation df2990d7-ee92-47e1-bfae-f26b60eccb90 · inbound

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo cites this paper.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 18

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Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models cites this paper.

Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-08T14:14:14.862740Z

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Observation 6a1c9d7a-3390-4e41-81aa-8c9ada492f2d · inbound

Flow-GRPO: Training Flow Matching Models via Online RL cites this paper.

Flow-GRPO: Training Flow Matching Models via Online RL Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:45:16.877453Z

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Observation 78702dee-54bf-4302-adf0-977392a625cb · inbound

VARD: Efficient and Dense Fine-Tuning for Diffusion Models with Value-based RL cites this paper.

VARD: Efficient and Dense Fine-Tuning for Diffusion Models with Value-based RL Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 2024

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Observation 0c6a39db-989d-4ab2-9257-3853e65bfa6d · inbound

Scaling Image and Video Generation via Test-Time Evolutionary Search cites this paper.

Scaling Image and Video Generation via Test-Time Evolutionary Search Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 14

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Observation 16f1f396-f81e-4792-82d8-149bd26f9fe0 · inbound

Test-Time Scaling of Diffusion Models via Noise Trajectory Search cites this paper.

Test-Time Scaling of Diffusion Models via Noise Trajectory Search Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 7

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Observation a75bec11-469f-43ea-862e-61c68cb2756a · inbound

Diffusion Tree Sampling: Scalable inference-time alignment of diffusion models cites this paper.

Diffusion Tree Sampling: Scalable inference-time alignment of diffusion models Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 16

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models cites this paper.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:45.737141Z

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Observation c84c4e0b-78e2-4fe5-a352-f92aaf9c9d54 · inbound

Reinforcement Learning for Flow-Matching Policies cites this paper.

Reinforcement Learning for Flow-Matching Policies Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T15:47:41.260048Z

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Observation 94e7f47a-58e0-4399-a3d2-74fbeaf869e2 · inbound

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation cites this paper.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 6

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Observation 3cbebc9b-8d12-4a70-9898-fa16b814a4b5 · inbound

FlowBack-Adjoint: Physics-Aware and Energy-Guided Conditional Flow-Matching for All-Atom Protein Backmapping cites this paper.

FlowBack-Adjoint: Physics-Aware and Energy-Guided Conditional Flow-Matching for All-Atom Protein Backmapping Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 2000

Resolution: unresolved; no resolver link, observed 2026-08-06T04:25:45.023705Z

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Observation 72683485-be86-452c-b3e5-8d5d076fb6fe · inbound

Feynman-Kac-Flow: Inference Steering of Conditional Flow Matching to an Energy-Tilted Posterior cites this paper.

Feynman-Kac-Flow: Inference Steering of Conditional Flow Matching to an Energy-Tilted Posterior Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T12:35:07.038529Z

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Observation 2411b54e-52c0-4eb5-ac85-12e3d374c44f · inbound

Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference cites this paper.

Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T22:58:08.771147Z

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Observation d10b84b4-4e99-418d-ba6b-77d5a394bd0c · inbound

Sample-Efficient Optimisation over the Outputs of Generative Models cites this paper.

Sample-Efficient Optimisation over the Outputs of Generative Models Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:01:23.704996Z

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Observation b7b6e2c6-12e5-4810-a23e-54e53ec19108 · 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 Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:09.384615Z

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Observation df32711f-7d5f-4e36-b35b-6523b3e48e9c · inbound

Flow Matching for Measure Transport and Feedback Stabilization of Control-Affine Systems cites this paper.

Flow Matching for Measure Transport and Feedback Stabilization of Control-Affine Systems Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:02:34.159765Z

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

Observation 9680d4ad-d0ad-4b8c-a0b8-0e68d813c632 · inbound

Solving Inverse Problems with Flow-based Models via Model Predictive Control cites this paper.

Solving Inverse Problems with Flow-based Models via Model Predictive Control Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T06:26:55.916821Z

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Observation d6bfa310-6d1e-44ae-b54b-c35c47940607 · inbound

CMAD: Cooperative Multi-Agent Diffusion via Stochastic Optimal Control cites this paper.

CMAD: Cooperative Multi-Agent Diffusion via Stochastic Optimal Control Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-21T13:44:11.596724Z

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

Observation 7792d017-a497-4f90-ba05-a34e551cfee6 · inbound

Variational Optimality of F\"ollmer Processes in Generative Diffusions cites this paper.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-21T13:30:11.813065Z

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Observation 92ecdd59-db06-49c4-bc55-f608ba854fa5 · inbound

TIGFlow-GRPO: Trajectory Forecasting via Interaction-Aware Flow Matching and Reward-Guided Optimization cites this paper.

TIGFlow-GRPO: Trajectory Forecasting via Interaction-Aware Flow Matching and Reward-Guided Optimization Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:58:26.110233Z

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

Observation 3cc5f807-61c0-4d49-9f4d-180e08739d41 · inbound

FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling cites this paper.

FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:21:08.284898Z

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

Observation 361b7ed3-1d3a-41c1-a9fe-81c64c301281 · inbound

Generative optimal transport via forward-backward HJB matching cites this paper.

Generative optimal transport via forward-backward HJB matching Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:36:04.430220Z

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

Observation e26af663-84a4-4b5d-859a-3202e84975f3 · inbound

LeapAlign: Post-Training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories cites this paper.

LeapAlign: Post-Training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:25:18.868263Z

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Observation 8e5fa161-8c8d-43cb-8f96-f4779d806df8 · inbound

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance cites this paper.

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 13

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Observation 8d160076-c782-4b4c-98e4-5cb2f876dc74 · inbound

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance cites this paper.

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T09:29:57.146349Z

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.

Observation 9dd7f44b-2b33-46db-82e1-d11a063c4d62 · inbound

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance cites this paper.

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T08:25:33.238287Z

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

Observation 41030788-279c-4100-85eb-4ebe0369a120 · inbound

Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies cites this paper.

Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:36:10.939984Z

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

Observation 109a64ea-7998-4f52-8b58-88895af6c5ef · inbound

Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies cites this paper.

Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:15:32.357386Z

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

Observation 435bae42-525f-4e91-8878-863a5f0db24c · inbound

Behavioral Mode Discovery for Fine-tuning Multimodal Generative Policies cites this paper.

Behavioral Mode Discovery for Fine-tuning Multimodal Generative Policies Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 29

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Observation e3b16e74-16fa-4fc6-adb2-34ddb9040047 · inbound

Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures cites this paper.

Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 74

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Observation 94ace7d9-0391-4f42-98b8-19591980c59d · inbound

SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate cites this paper.

SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:53:09.681842Z

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

Observation 33056862-4054-476e-ac10-301e4c6566e0 · inbound

SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate cites this paper.

SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:25:00.279693Z

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.

Observation f747f919-b697-40d4-a393-38670f114296 · inbound

Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion cites this paper.

Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:30:22.520025Z

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

Observation 435d7dc0-f1c7-44d4-b594-9d6365392374 · inbound

Inference-Time Alignment of Diffusion Models via Trust-Region Iterative Twisted Sequential Monte Carlo cites this paper.

Inference-Time Alignment of Diffusion Models via Trust-Region Iterative Twisted Sequential Monte Carlo Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:04:38.946961Z

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.

Observation d83a728d-623f-4bc2-b1ee-0baaaeea8ce5 · inbound

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models cites this paper.

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:54:01.620053Z

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

Observation 9f2c7a09-e97f-4ff7-b8ad-18627fdfaa98 · inbound

Adaptive Order Policies for Masked Diffusion cites this paper.

Adaptive Order Policies for Masked Diffusion Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 94

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T23:42:49.849398Z

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

Observation cd257b5b-f34c-47cb-9405-bde60d4938ba · inbound

Constrained Diffusion Models with Primal-Dual Inference cites this paper.

Constrained Diffusion Models with Primal-Dual Inference Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:48:45.976636Z

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.

Observation 8b5c9e2e-02d0-4082-b3fb-4ed7800f8f7f · inbound

Scalable Maximum Entropy Reinforcement Learning for Diffusion Policies via Adjoint Matching cites this paper.

Scalable Maximum Entropy Reinforcement Learning for Diffusion Policies via Adjoint Matching Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:59:43.272128Z

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

Observation b0c76c32-90c4-4215-8be0-6ebbcd83c25f · inbound

Integration Matters: Rollout-Based Training for Constrained Diffusion Models cites this paper.

Integration Matters: Rollout-Based Training for Constrained Diffusion Models Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T02:18:48.356599Z

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Observation ec7b007f-9e6e-44b5-b0ea-1ca71256ebac · inbound

Reinforcement Learning: From Algorithms To Foundation Models cites this paper.

Reinforcement Learning: From Algorithms To Foundation Models Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-01T17:45:00.086809Z

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