Paper Citation Record · LEDGER

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training

As of 10 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 2 inbound Pith citation observations for arXiv:2502.03822.

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

pith.paper-citation-record.v1
2502.03822 v3

Coverage vector

measured 54 of 54 reference resolution

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Source: arxiv_reference, observed 2026-07-04T08:49:41.819160Z

Reference resolution

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External citation measurements

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Outbound references

Observation 2d67a427-911d-4180-82ba-808941a99a23 · outbound

This paper cites Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

Reference 1

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This paper cites Vision-based trajectory planning via imitation learning for autonomous vehicles.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Vision-based trajectory planning via imitation learning for autonomous vehicles

Reference 2

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Observation dd712e8c-c37f-4477-9b3f-5a936f54ad22 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Diffusion policy: Visuomotor policy learning via action diffusion

Reference 3

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Observation f92741bb-0857-445b-9cb1-7569be6d97ea · outbound

This paper cites Directly Fine-Tuning Diffusion Models on Differentiable Rewards.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Directly Fine-Tuning Diffusion Models on Differentiable Rewards

Reference 4

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This paper cites A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning

Reference 5

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Observation 22e334de-582c-4bab-99a4-989467e6f965 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training QLoRA: Efficient Finetuning of Quantized LLMs

Reference 6

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Observation 84774fbb-6de9-4ae8-aae5-cbb7af4246ed · outbound

This paper cites On the power of over- parametrization in neural networks with quadratic acti- vation.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training On the power of over- parametrization in neural networks with quadratic acti- vation

Reference 7

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Observation 2a23fcb8-5d5d-474b-93ce-290ef0515c04 · outbound

This paper cites Soft Actor-Critic Algorithms and Applications.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Soft Actor-Critic Algorithms and Applications

Reference 8

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Observation 53418216-90d7-4475-b495-fa6a0f5bfdd2 · outbound

This paper cites FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation

Reference 9

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Observation c80bb809-5d13-4139-a0b1-5f451a7e1ac9 · outbound

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Denoising diffusion probabilistic models

Reference 10

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This paper cites ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning

Reference 11

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This paper cites Lazydagger: Reducing context switching in interactive imitation learning.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Lazydagger: Reducing context switching in interactive imitation learning

Reference 12

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Observation dc3bb717-6c9e-40f3-9afb-2d0f165cb412 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Lora: Low-rank adaptation of large language models

Reference 13

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Observation fc9ff3ba-ede5-4884-8ee8-a5e450bacad0 · outbound

This paper cites Real-time obstacle avoidance in robotic manipulation using imitation learn- ing.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Real-time obstacle avoidance in robotic manipulation using imitation learn- ing

Reference 14

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Observation 26d2c7ed-cd3f-46a0-9994-d104a476ff23 · outbound

This paper cites A geometric perspective on visual imitation learning.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training A geometric perspective on visual imitation learning

Reference 15

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Observation 4f60361d-b53e-40f9-b429-b0980ba5e0e4 · outbound

This paper cites Scaling Laws for Neural Language Models.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Scaling Laws for Neural Language Models

Reference 16

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This paper cites Hg-dagger: Inter- active imitation learning with human experts.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Hg-dagger: Inter- active imitation learning with human experts

Reference 18

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Observation 170fa581-9597-436b-8a85-9906321f769c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Adam: A Method for Stochastic Optimization

Reference 19

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This paper cites Dynamical low-rank approximation.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Dynamical low-rank approximation

Reference 20

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Observation 4a8fb48a-5618-4ee6-bf59-46c7d3e0b93f · outbound

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Imagenet classification with deep convolutional neural networks

Reference 21

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This paper cites Beyond pick-and- place: Tackling robotic stacking of diverse shapes.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Beyond pick-and- place: Tackling robotic stacking of diverse shapes

Reference 22

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic Manipulation

Reference 23

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This paper cites Measuring the Intrinsic Dimension of Objective Landscapes.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Measuring the Intrinsic Dimension of Objective Landscapes

Reference 24

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Recov- ery guarantee of weighted low-rank approximation via alternating minimization

Reference 25

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Observation e6d5c1e9-1974-455f-b45b-3ef4bc125c8c · outbound

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Al- gorithmic regularization in over-parameterized matrix sensing and neural networks with quadratic activations

Reference 26

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Observation 8dbc69f8-9f56-48d2-a2cf-8a12c85be071 · outbound

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 27

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Learning high-speed flight in the wild

Reference 28

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This paper cites What matters in learning from offline human demonstra- tions for robot manipulation.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training What matters in learning from offline human demonstra- tions for robot manipulation

Reference 29

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Pytorch: An imperative style, high-performance deep learning library

Reference 30

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation

Reference 31

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training High-resolution image synthesis with latent diffusion models

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training U- net: Convolutional networks for biomedical image seg- mentation

Reference 33

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training A reduction of imitation learning and structured prediction to no-regret online learning

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Proximal Policy Optimization Algorithms

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Denoising Diffusion Implicit Models

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Feedback in Imitation Learning: The Three Regimes of Covariate Shift

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Nomad: Goal masked diffusion policies for navigation and exploration

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Introduction to linear algebra

Reference 39

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training A benchmark comparison of imitation learning-based control policies for autonomous racing

Reference 41

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training A comparative study on state-action spaces for learning viewpoint selection and manipulation with diffusion policy

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Attention is all you need

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Deep learning for optimization of trajectories for quadrotors

Reference 46

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Trained rank pruning for efficient deep neural networks

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training A survey of imitation learning: Al- gorithms, recent developments, and challenges

Reference 48

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Kebria, Abbas Khosravi, and Saeid Nahavandi

Reference 49

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training 3d diffusion policy: Generalizable visuomotor policy learning via simple 3d representations

Reference 50

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Improving training efficiency of diffusion models via multi-stage framework and tailored multi-decoder architecture

Reference 51

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning

Reference 52

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training A Survey of Large Language Models

Reference 53

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Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Developing Path Planning with Behavioral Cloning and Proximal Policy Optimization for Path-Tracking and Static Obstacle Nudging

Reference 54

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Source-reported events for the cited work

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Observation 7fb5f092-ef89-433f-8c5b-20d6d9bacb36 · outbound

This paper cites robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-09T00:41:49.799144Z

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Pith citing papers

Observation 55652150-2f63-476a-9809-1ba6f20642bd · inbound

Any-Body Guard: Universal Safeguarding for Manipulation Policies via Action Masking cites this paper.

Any-Body Guard: Universal Safeguarding for Manipulation Policies via Action Masking Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:49:41.820579Z

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Observation 94b6ef1a-f661-42e9-981e-024113dfc42a · inbound

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models cites this paper.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T10:12:06.757775Z

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