Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-16T07:55:31.706717Z
Paper Citation Record · LEDGER
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models?
As of 5 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 2 inbound Pith citation observations for arXiv:2602.02924.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T22:46:27.179341Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
32 of 32 outbound references displayed
- verified exact18
- verified fuzzy8
- unresolved1
- parse uncertain0
- malformed identifier1
- metadata mismatch4
External citation measurements
0
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation d27449cf-6ef1-4339-a740-b8bda2ffa502 · outbound
This paper cites Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T07:57:33.078134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a1dfbca6-728b-40fd-b9f4-045f21b29428 · outbound
This paper cites Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:57:33.082156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5f35fc00-60ee-4106-8f46-195e62be1489 · outbound
This paper cites Safe and stable control via lyapunov-guided diffusion models.arXiv preprint arXiv:2509.25375.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Safe and stable control via lyapunov-guided diffusion models.arXiv preprint arXiv:2509.25375
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:57:33.066012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation de7f3371-2582-4361-b633-9094833e8c62 · outbound
This paper cites Data-Driven Hamiltonian for Direct Construction of Safe Set from Trajectory Data.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Data-Driven Hamiltonian for Direct Construction of Safe Set from Trajectory Data
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:57:33.136551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c3c1a766-0652-415a-a8f8-b41e117e5683 · outbound
This paper cites Maximum Entropy Reinforcement Learning with Diffusion Policy.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Maximum Entropy Reinforcement Learning with Diffusion Policy
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:57:33.115112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3ccd2e71-4895-4cdb-bb92-e543eaf7ca3e · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T07:57:33.102252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a6031ea8-fbfa-4d29-9628-0b96b7c1edb2 · outbound
This paper cites Planning with Diffusion for Flexible Behavior Synthesis.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Planning with Diffusion for Flexible Behavior Synthesis
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T07:57:33.123642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3966d4ec-0b61-4528-962b-f38bcf1efb0d · outbound
This paper cites Model-based constrained reinforcement learning using generalized control barrier function.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Model-based constrained reinforcement learning using generalized control barrier function
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T07:57:33.599665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 343df86c-0770-46d2-8ef5-e68026b1daa1 · outbound
This paper cites Efficient Online Reinforcement Learning for Diffusion Policy.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Efficient Online Reinforcement Learning for Diffusion Policy
Reference 9
- Resolution
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- arxiv_id, observed 2026-05-16T07:57:33.143511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c3abb07d-e78c-4e3c-9ca8-c884306e4681 · outbound
This paper cites Flow Q-Learning.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Flow Q-Learning
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:57:33.110582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 47c4faa7-5cc4-4405-9729-7c73890d20fd · outbound
This paper cites Learning a Diffusion Model Policy from Rewards via Q-Score Matching.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Learning a Diffusion Model Policy from Rewards via Q-Score Matching
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T07:57:33.094604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 847e8c1e-8d51-47eb-99d3-9654f00b8c61 · outbound
This paper cites Sablas: Learning safe control for black-box dynamical systems.IEEE Robotics and Automation Letters, 7(2):1928–1935.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Sablas: Learning safe control for black-box dynamical systems.IEEE Robotics and Automation Letters, 7(2):1928–1935
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T07:57:33.581153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e9c845c4-cb15-40fc-ac0f-722adfefde5a · outbound
This paper cites Diffusion Policy Policy Optimization.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Diffusion Policy Policy Optimization
Reference 13
- Resolution
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- arxiv_id, observed 2026-05-16T08:48:15.161771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ce658ca0-de2a-4bf2-a677-01a1da4f535d · outbound
This paper cites High-Dimensional Statistics.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? High-Dimensional Statistics
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:57:33.090247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d52239c0-fa27-433b-8848-6d136be14113 · outbound
This paper cites Solving Stabilize-Avoid Optimal Control via Epigraph Form and Deep Reinforcement Learning.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Solving Stabilize-Avoid Optimal Control via Epigraph Form and Deep Reinforcement Learning
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:57:33.146628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8b451dd2-24f1-41b6-a0f5-becf0538f25e · outbound
This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Score-Based Generative Modeling through Stochastic Differential Equations
Reference 16
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T07:57:33.106457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3beb648f-3f11-44c4-93f7-7ea03dd05792 · outbound
This paper cites DeepMind Control Suite.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? DeepMind Control Suite
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T07:57:33.070055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 06d88804-9297-4977-ab65-33f3b10ca3e4 · outbound
This paper cites Reward Constrained Policy Optimization.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Reward Constrained Policy Optimization
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T07:57:33.098452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 35e80717-c1a4-4fb7-9260-5350b2eba6ae · outbound
This paper cites and Schwartz, A.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? and Schwartz, A
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T07:57:33.583341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3d519c0f-f77d-4afa-b5b7-a834da9d8e8d · outbound
This paper cites Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:57:33.150279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 77cd936f-939d-43e5-997f-1270f5770f7f · outbound
This paper cites Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T07:57:33.085981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9d0ad8ed-6e32-4fcb-b826-9748be050b13 · outbound
This paper cites Off-Policy Primal-Dual Safe Reinforcement Learning.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Off-Policy Primal-Dual Safe Reinforcement Learning
Reference 22
- Resolution
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- arxiv_id, observed 2026-05-16T07:57:33.119515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dc6c532d-0623-4c1c-a351-397df8345958 · outbound
This paper cites Constrained Diffusers for Safe Planning and Control.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Constrained Diffusers for Safe Planning and Control
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:57:33.128486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f19839a0-4bd1-45a2-8b15-b24525f0c226 · outbound
This paper cites Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:57:33.074108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 11a28bdb-dcf0-47f2-a01e-f4a1b9bcdefc · outbound
This paper cites Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:57:33.132731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 65b5515a-5638-4e24-b7cf-a47ebc146b86 · outbound
This paper cites dual variable) τdiffusion step 12 Augmented Lagrangian-Guided Diffusion Appendix Overview This appendix is organized into four main parts.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? dual variable) τdiffusion step 12 Augmented Lagrangian-Guided Diffusion Appendix Overview This appendix is organized into four main parts
Reference 26
- Resolution
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- raw_fallback, observed 2026-05-16T07:57:33.593618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2c865bdc-9d5b-44e8-98d3-0017c5768256 · outbound
This paper cites However, these approaches are largely restricted to the offline setting.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? However, these approaches are largely restricted to the offline setting
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T07:57:33.591685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1ab181eb-2975-4372-9b46-629a4fbd8561 · outbound
This paper cites Despite recent progress, most existing diffusion-based approaches remain confined to the offline reinforcement learning setting.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Despite recent progress, most existing diffusion-based approaches remain confined to the offline reinforcement learning setting
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T07:57:33.597357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation da782dae-1890-4c7c-90db-dd791b9f668d · outbound
This paper cites In the following proposition, we present a method for estimating the exact score function for Lagrangian-guided diffusion under the VE SDE framework.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? In the following proposition, we present a method for estimating the exact score function for Lagrangian-guided diffusion under the VE SDE framework
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T07:57:33.589830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4a828c4a-d893-4c03-a81e-0c718ff3a041 · outbound
This paper cites an unresolved cited work.
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T07:57:33.595448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4ff6b2d8-4b40-43b5-bf91-8689f8bbef71 · outbound
This paper cites Z K 0 q dσ2(τ) dτ −1 × dσ2(τ) dτ ˜ϕA(s, aτ , τ)−ϕ ∗(s, aτ , τ) 2 dτ # = 1 2 Eπ0(a0|s).
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Z K 0 q dσ2(τ) dτ −1 × dσ2(τ) dτ ˜ϕA(s, aτ , τ)−ϕ ∗(s, aτ , τ) 2 dτ # = 1 2 Eπ0(a0|s)
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T07:57:33.587631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9abf9253-4ceb-4e06-a7af-f37c0cf79df4 · outbound
This paper cites To rule out potential confounding effects, we evaluated the use of cost critic ensembles in the baseline methods, including SAC+Lag and CAL (originally proposed with ensembles).
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? To rule out potential confounding effects, we evaluated the use of cost critic ensembles in the baseline methods, including SAC+Lag and CAL (originally proposed with ensembles)
Reference 32
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-16T07:57:33.585521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation dc9e0a22-3766-44bb-acd6-67d28e85a92e · inbound
SafeDiffusion-R1: Online Reward Steering for Safe Diffusion Post-Training cites this paper.
SafeDiffusion-R1: Online Reward Steering for Safe Diffusion Post-Training How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models?
Reference 131
- Resolution
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- local_arxiv, observed 2026-05-20T11:28:14.084672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f757a7ce-a53d-42c8-967a-03c4fb450188 · inbound
Scaling World-Model Reinforcement Learning Through Diffusion Policy Optimization cites this paper.
Scaling World-Model Reinforcement Learning Through Diffusion Policy Optimization How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models?
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T22:54:01.405866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.