Paper Citation Record · LEDGER

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

As of 15 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2412.01234.

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

pith.paper-citation-record.v1
2412.01234 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:38:30.943494Z

measured 48 of 48 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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:36:29.655557Z

Reference resolution

47 of 47 outbound references displayed

verified exact1
verified fuzzy39
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 035003a8-4eb6-4941-91d3-57a02a27441e · outbound

This paper cites Recent Advancements in End-to-End Au- tonomous Driving Using Deep Learning: A Survey,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Recent Advancements in End-to-End Au- tonomous Driving Using Deep Learning: A Survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.759375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f2edb76d-e610-49a8-8087-2777eea610e6 · outbound

This paper cites Autonomous Driving: A Bird’s Eye View,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Autonomous Driving: A Bird’s Eye View,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.673494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 038ddb3d-091c-4a03-8260-09844b75c299 · outbound

This paper cites Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-12T04:38:31.143072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c50f6fcc-3e55-4974-92a8-87ec7712014b · outbound

This paper cites End-to-End Autonomous Driving: Challenges and Frontiers,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles End-to-End Autonomous Driving: Challenges and Frontiers,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.654340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e10f7fc1-c796-4766-88d7-732d30d06fe4 · outbound

This paper cites Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.640309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a3d06157-4f5e-42ff-a06d-b424cca2ad56 · outbound

This paper cites The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T04:38:30.583889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfbec2a9-4d98-47d7-ae18-69e6c30d9d0a · outbound

This paper cites A Path Towards Autonomous Machine Intelligence Version 0.9.2, 2022-06-27,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles A Path Towards Autonomous Machine Intelligence Version 0.9.2, 2022-06-27,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.627912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6d1afd7d-d8a2-4bfb-af6d-a14bdee06d66 · outbound

This paper cites Is It Safe to Drive? An Overview of Factors, Metrics, and Datasets for Driveability Assessment in Au- tonomous Driving,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Is It Safe to Drive? An Overview of Factors, Metrics, and Datasets for Driveability Assessment in Au- tonomous Driving,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.614923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 91456ea3-df40-4807-b5a4-1a5b2b630096 · outbound

This paper cites A Survey of Deep RL and IL for Autonomous Driving Policy Learning,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles A Survey of Deep RL and IL for Autonomous Driving Policy Learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.600629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6500ca7f-9302-4a0a-970b-4214836402da · outbound

This paper cites Local Learning Enabled Iterative Linear Quadratic Regulator for Con- strained Trajectory Planning,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Local Learning Enabled Iterative Linear Quadratic Regulator for Con- strained Trajectory Planning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.588334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ad3d0f80-1c2e-47b9-835c-3cade6c43a3a · outbound

This paper cites Game-Theoretic Driver Modeling and Decision-Making for Autonomous Driving with Temporal-Spatial Attention-Based Deep Q-Learning,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Game-Theoretic Driver Modeling and Decision-Making for Autonomous Driving with Temporal-Spatial Attention-Based Deep Q-Learning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T04:38:30.604804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9440387d-d6b3-4c0d-8a66-4124c09993f7 · outbound

This paper cites A Two- Stage Optimization-Based Motion Planner for Safe Urban Driving,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles A Two- Stage Optimization-Based Motion Planner for Safe Urban Driving,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.524748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 494a7c57-007f-4b5f-99e8-abd5c1c0f361 · outbound

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

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Integrated Decision Making and Trajectory Planning for Autonomous Driving Under Multimodal Uncertainties: A Bayesian Game Approach

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T04:38:30.613811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39bf4e27-765b-4a4d-9836-c1e754479859 · outbound

This paper cites Improved Consensus ADMM for Cooperative Motion Planning of Large-Scale Connected Autonomous Vehicles with Limited Communication,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Improved Consensus ADMM for Cooperative Motion Planning of Large-Scale Connected Autonomous Vehicles with Limited Communication,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.396825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c6fac2df-6f8c-4d01-9fc8-0d81dd6c5f6b · outbound

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

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.327466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5f08989d-6dff-4817-a7ed-68e927ed64a4 · outbound

This paper cites A Survey of Deep Learning Techniques for Autonomous Driving,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles A Survey of Deep Learning Techniques for Autonomous Driving,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.314924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c282186e-d36f-4bfe-bc43-d41d350924c2 · outbound

This paper cites Imitation Learning for Agile Autonomous Driving,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Imitation Learning for Agile Autonomous Driving,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.302021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f9c7d4e3-d887-4e7f-9c09-df2c5f36d082 · outbound

This paper cites Hybrid Trajectory Planning for Autonomous Driving in On-Road Dynamic Scenarios,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Hybrid Trajectory Planning for Autonomous Driving in On-Road Dynamic Scenarios,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.289693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d73da455-eacc-4d87-85c0-b27b517e683e · outbound

This paper cites Alternating Direction Method of Multipliers for Constrained Iterative LQR in Autonomous Driving,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Alternating Direction Method of Multipliers for Constrained Iterative LQR in Autonomous Driving,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.276556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7764263e-7a5c-4042-8109-8a9162ee916a · outbound

This paper cites Safe Nonlinear Trajectory Generation for Parallel Autonomy with a Dynamic Vehicle Model,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Safe Nonlinear Trajectory Generation for Parallel Autonomy with a Dynamic Vehicle Model,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.263529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d1306fd4-18dc-4fd8-8928-4ff11df58003 · outbound

This paper cites Bonnans, J.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Bonnans, J

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.242287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b8caefbb-75a9-4a3a-98c1-1771ac8ba5d9 · outbound

This paper cites Maplite: Autonomous Intersection Navigation Without a Detailed Prior Map,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Maplite: Autonomous Intersection Navigation Without a Detailed Prior Map,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.210527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 88f9812f-7df2-4385-9c8f-6fdbeff034d4 · outbound

This paper cites Planning-Oriented Autonomous Driving,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Planning-Oriented Autonomous Driving,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.198020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 66a37473-a6ba-4104-b096-9ec6bf6aa7c7 · outbound

This paper cites V AD: Vectorized Scene Representation for Efficient Autonomous Driving,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles V AD: Vectorized Scene Representation for Efficient Autonomous Driving,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.114886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2bab44c4-278a-4894-9990-8860211d2d92 · outbound

This paper cites An End-to-End Curriculum Learning Approach for Autonomous Driving Scenarios,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles An End-to-End Curriculum Learning Approach for Autonomous Driving Scenarios,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.057383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e05da5bd-a578-422d-bf3c-184f071a88d8 · outbound

This paper cites A Survey on Imitation Learning Techniques for End-to-End Autonomous Vehicles,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles A Survey on Imitation Learning Techniques for End-to-End Autonomous Vehicles,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.023477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3a506986-21ac-4f3a-ad4f-9bda806ee8cd · outbound

This paper cites Drive Anywhere: Generalizable End-to-End Autonomous Driving with Multi-Modal Foundation Models,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Drive Anywhere: Generalizable End-to-End Autonomous Driving with Multi-Modal Foundation Models,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:32.010266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation df4ae946-6210-46d1-8923-3a24e833bf97 · outbound

This paper cites IR-STP: Enhancing Autonomous Driving with Interaction Reasoning in Spatio-Temporal Planning,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles IR-STP: Enhancing Autonomous Driving with Interaction Reasoning in Spatio-Temporal Planning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:31.997082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 57f3b81a-ad17-4a6e-94a0-001d1b1ffdea · outbound

This paper cites Multimodal End-to-End Autonomous Driving,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Multimodal End-to-End Autonomous Driving,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:31.984124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7692441a-cdb7-451a-9b94-c961f5e6ed3a · outbound

This paper cites End-to-End Autonomous Driving: An Angle Branched Network Approach,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles End-to-End Autonomous Driving: An Angle Branched Network Approach,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:31.874265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f63fcd7d-4908-4afb-a1eb-e100cdb5948a · outbound

This paper cites End-to-End Interpretable Neural Motion Planner,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles End-to-End Interpretable Neural Motion Planner,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:31.836251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 94cda01c-699e-4df9-8df3-04ceec824cc3 · outbound

This paper cites Efficient Deep Learning of Robust Policies from MPC Using Imitation and Tube-Guided Data Augmentation,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Efficient Deep Learning of Robust Policies from MPC Using Imitation and Tube-Guided Data Augmentation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:31.823674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f1c32716-645b-446c-a3fe-451a89ecaafd · outbound

This paper cites Evolutionary Decision-Making and Planning for Autonomous Driving: A Hybrid Augmented Intelligence Framework,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Evolutionary Decision-Making and Planning for Autonomous Driving: A Hybrid Augmented Intelligence Framework,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:31.809951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7e72ed53-3954-4e9a-8652-4629fab4cd7e · outbound

This paper cites ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T04:38:30.866398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e407d889-7fcb-447b-b920-2f6c7e1aba3d · outbound

This paper cites BEV-TP: End-to-End Visual Perception and Trajectory Prediction for Autonomous Driving,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles BEV-TP: End-to-End Visual Perception and Trajectory Prediction for Autonomous Driving,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:31.646359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0880539c-b967-426e-ae5c-f8f72b883062 · outbound

This paper cites Differen- tiable MPC for end-to-end planning and control,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Differen- tiable MPC for end-to-end planning and control,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:31.482420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9c07f3e0-0771-459e-bdfc-a909298276e6 · outbound

This paper cites Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:31.468890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 077f4844-be5a-422d-a04b-7fb20a96f863 · outbound

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

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:31.456111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 91f9f503-86c6-4309-86cd-36281ff9af20 · outbound

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

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles LeTO: Learning Constrained Visuomotor Policy with Differentiable Trajectory Optimization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T04:38:30.885985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f626f1d3-4813-4ae8-a69b-9b11c6eff8b1 · outbound

This paper cites DC3: A learning method for optimization with hard constraints,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles DC3: A learning method for optimization with hard constraints,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:31.418939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 62d94d6c-6704-43b2-b8fd-b9933f9a868e · outbound

This paper cites Differentiable Constrained Imitation Learning for Robot Motion Planning and Control.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Differentiable Constrained Imitation Learning for Robot Motion Planning and Control

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T04:38:30.893597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5ab4ccd-ef8d-4acb-9b5a-c1163dda6564 · outbound

This paper cites DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T04:38:30.898635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd5d88d2-f081-4c5e-bc51-e29abd04095d · outbound

This paper cites Diffstack: A differentiable and modular control stack for autonomous vehicles,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Diffstack: A differentiable and modular control stack for autonomous vehicles,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:31.371719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 59cc20db-4541-416e-b4c2-1214f03b1516 · outbound

This paper cites Theseus: A library for differentiable nonlinear optimization,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Theseus: A library for differentiable nonlinear optimization,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:31.265729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8df4d774-0cbd-490b-9c44-412c2d898d05 · outbound

This paper cites Decentralized iLQR for Coopera- tive Trajectory Planning of Connected Autonomous Vehicles via Dual Consensus ADMM,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Decentralized iLQR for Coopera- tive Trajectory Planning of Connected Autonomous Vehicles via Dual Consensus ADMM,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:31.215916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5e91d483-ce19-45ac-8d78-b7b117b6e40c · outbound

This paper cites Scalability in Perception for Autonomous Driving: Waymo Open Dataset,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles Scalability in Perception for Autonomous Driving: Waymo Open Dataset,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:31.202107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 72aafda5-2c22-4a6f-bdd1-d69579ced3ab · outbound

This paper cites An Integrated Decision and Motion Planning Framework for Automated Driving on Highway,.

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles An Integrated Decision and Motion Planning Framework for Automated Driving on Highway,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:31.188511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

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

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving cites this paper.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.