Paper Citation Record · LEDGER

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving

As of 15 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2606.03296.

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

pith.paper-citation-record.v1
2606.03296 v1

Coverage vector

measured 42 of 42 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-06-28T09:54:19.191763Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

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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

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation 0c2a9666-28c9-41ac-a904-df7448498824 · outbound

This paper cites Uncertainties in Onboard Algorithms for Autonomous Vehicles: Chal- lenges, Mitigation, and Perspectives,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Uncertainties in Onboard Algorithms for Autonomous Vehicles: Chal- lenges, Mitigation, and Perspectives,

Reference 1

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Observation 54425b96-c50f-4fc1-8255-2063e54eb641 · outbound

This paper cites From Prediction to Planning: Comprehensive Uncertainty Management in Autonomous Driving,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving From Prediction to Planning: Comprehensive Uncertainty Management in Autonomous Driving,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T09:54:19.191763Z

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Observation 4db4490c-8b1d-4113-bbdf-1b4a85aed7a8 · outbound

This paper cites Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives,

Reference 3

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Observation c4e3511e-82d8-4789-8968-8683f4a963a3 · outbound

This paper cites Decision-making Framework for Automated Driving in Highway Environments,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Decision-making Framework for Automated Driving in Highway Environments,

Reference 4

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Observation 09e65f96-0e50-40c4-97ad-c43b80caa637 · outbound

This paper cites Adaptive Robust Game-theoretic Decision Making Strategy for Autonomous Vehicles in Highway,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Adaptive Robust Game-theoretic Decision Making Strategy for Autonomous Vehicles in Highway,

Reference 5

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Observation d8d38324-f82b-4c54-a668-3c4d48800109 · outbound

This paper cites Trajectory Tree-Based Pairwise Game for Interactive Decision-Making and Motion Planning in Autonomous Driving,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Trajectory Tree-Based Pairwise Game for Interactive Decision-Making and Motion Planning in Autonomous Driving,

Reference 6

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Observation a1ed4d16-bce6-427b-816f-e081d2803bba · outbound

This paper cites Integrated Decision Making and Trajectory Planning for Autonomous Driving Under Multimodal Uncertainties: A Bayesian Game Approach,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Integrated Decision Making and Trajectory Planning for Autonomous Driving Under Multimodal Uncertainties: A Bayesian Game Approach,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T09:54:19.191763Z

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Observation d9e10037-4128-453c-8bda-fbe817b2dbad · outbound

This paper cites Uncertainty- aware Safe Trajectory Planner Based on Model Predictive Control for Autonomous Driving,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Uncertainty- aware Safe Trajectory Planner Based on Model Predictive Control for Autonomous Driving,

Reference 8

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Observation abc1870a-ebd2-4aaf-9c2d-b711db50b53b · outbound

This paper cites Non-Gaussian Chance- Constrained Trajectory Planning for Autonomous Vehicles Under Agent Uncertainty,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Non-Gaussian Chance- Constrained Trajectory Planning for Autonomous Vehicles Under Agent Uncertainty,

Reference 9

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Observation 9add21ae-d395-4b6b-b1ff-66a6f6dffd59 · outbound

This paper cites Planning and Decision- making for Autonomous Vehicles,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Planning and Decision- making for Autonomous Vehicles,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T09:54:19.191763Z

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Observation 232f3426-f174-4b31-95f7-2d9c5b107191 · outbound

This paper cites Trajectron++: Dynamically-feasible Trajectory Forecasting with Heterogeneous Data,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Trajectron++: Dynamically-feasible Trajectory Forecasting with Heterogeneous Data,

Reference 11

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Observation e6b76847-261c-4ec3-963c-f7c852517b9c · outbound

This paper cites Desire: Distant Future Prediction in Dynamic Scenes with In- teracting Agents,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Desire: Distant Future Prediction in Dynamic Scenes with In- teracting Agents,

Reference 12

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Observation d2d784ce-faf1-45c9-af5b-7cc3ae146d48 · outbound

This paper cites Social Gan: Socially Acceptable Trajectories with Generative Adversarial Networks,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Social Gan: Socially Acceptable Trajectories with Generative Adversarial Networks,

Reference 13

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Observation 505cde84-70b0-4cb1-a32f-163de2b22410 · outbound

This paper cites Multipath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Multipath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction,

Reference 14

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Observation 92a9006f-a133-4ea1-a484-dadaaaf18c52 · outbound

This paper cites TNT: Target- driven Trajectory Prediction,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving TNT: Target- driven Trajectory Prediction,

Reference 15

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Observation 078eca03-4708-479f-ae3d-70e8be7aaf4e · outbound

This paper cites A Survey on Trajectory-prediction Methods for Autonomous Driving,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving A Survey on Trajectory-prediction Methods for Autonomous Driving,

Reference 16

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Observation e6f673bf-622a-4de3-9335-f30c796b7416 · outbound

This paper cites R2P2: A Reparameterized Pushforward Policy for Diverse, Precise Generative Path Forecasting,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving R2P2: A Reparameterized Pushforward Policy for Diverse, Precise Generative Path Forecasting,

Reference 17

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Observation e27a58e8-4fa9-48d5-8939-eaa8031e82eb · outbound

This paper cites Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction,

Reference 18

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Observation 623d4074-c89e-4386-bb3c-b66b540cc3b5 · outbound

This paper cites Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion,

Reference 19

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Observation 7658e60f-f783-4bb0-ac5d-d4535b89e5d7 · outbound

This paper cites Score-based Generative Modeling Through Stochastic Differential Equations,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Score-based Generative Modeling Through Stochastic Differential Equations,

Reference 20

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Observation c36adfeb-a5ea-4079-a2fb-ffee64b3b331 · outbound

This paper cites MotionDiffuser: Controllable Multi-agent Motion Prediction Using Diffusion,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving MotionDiffuser: Controllable Multi-agent Motion Prediction Using Diffusion,

Reference 21

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Observation e9577425-0f25-4151-801b-506ffd25afe6 · outbound

This paper cites V ADv2: End-to-end Vectorized Autonomous Driving via Probabilistic Planning,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving V ADv2: End-to-end Vectorized Autonomous Driving via Probabilistic Planning,

Reference 22

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Observation c8bc7f93-abae-411a-b511-dd51ae873b2f · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Explaining and Harnessing Adversarial Examples

Reference 23

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Observation ff1b085f-ed7e-4d24-8f7d-47fb7d5b06b0 · outbound

This paper cites Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead,

Reference 24

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Observation d6601064-734a-4649-b6d1-26f10ad5f070 · outbound

This paper cites Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions,

Reference 25

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Observation 8ee4d541-049c-42a9-8434-f8d1138b69f8 · outbound

This paper cites LETO: Learning Constrained Visuomotor Policy with Differentiable Trajectory Optimization,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving LETO: Learning Constrained Visuomotor Policy with Differentiable Trajectory Optimization,

Reference 26

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Observation ac5e8100-979e-4541-b92e-ff3591537018 · outbound

This paper cites Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:36:29.657124Z

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Observation 3d6b50bb-720d-40be-9c3c-f9717bbd3a08 · outbound

This paper cites Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving,

Reference 28

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Observation 2aa60261-63c5-41a2-89d5-2f1fc811f8fb · outbound

This paper cites Large Scale Interactive Motion Fore- casting for Autonomous Driving: The Waymo Open Motion Dataset,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Large Scale Interactive Motion Fore- casting for Autonomous Driving: The Waymo Open Motion Dataset,

Reference 29

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Observation 818eaa8f-b14e-4669-aa1c-0e767a54a33f · outbound

This paper cites Argoverse 2: Next Generation Datasets for Self-driving Perception and Forecasting,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Argoverse 2: Next Generation Datasets for Self-driving Perception and Forecasting,

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This paper cites Diffusion Policy: Visuomotor Policy Learning via Action Diffusion,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Diffusion Policy: Visuomotor Policy Learning via Action Diffusion,

Reference 31

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Observation 479ebd27-883d-49ac-8b1b-74a862b8f692 · outbound

This paper cites Generative Modeling by Estimating Gradients of the Data Distribution,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Generative Modeling by Estimating Gradients of the Data Distribution,

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This paper cites Language Mod- els Are Few-shot Learners,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Language Mod- els Are Few-shot Learners,

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This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Progressive Distillation for Fast Sampling of Diffusion Models

Reference 34

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Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Lateral Vehicle Dynamics,

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Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Differen- tiable Mpc for End-to-end Planning and Control,

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Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Chance-constrained Programming,

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Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Risk-Aware Motion Planning and Control Using CVaR-Constrained Optimization,

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Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Optimization of conditional value- at-risk,

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This paper cites GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving,.

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving,

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Resolution: unresolved; no resolver link, observed 2026-06-28T09:54:19.191763Z

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Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Denoising Diffusion Implicit Models,

Reference 41

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Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving Motion Transformer with Global Intention Localization and Local Movement Refinement,

Reference 42

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