Paper Citation Record · LEDGER

Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2410.05582.

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

pith.paper-citation-record.v1
2410.05582 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:46:33.618655Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:48:39.571719Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a226a2d0-f3b1-4aca-be3d-c7a0307ed3c3 · inbound

Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling cites this paper.

Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:33.618655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e537f5a7-12df-478e-b541-889395048913 · inbound

Autoregressive Meta-Actions for Unified Controllable Trajectory Generation cites this paper.

Autoregressive Meta-Actions for Unified Controllable Trajectory Generation Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:48.866794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbdb0f18-27ab-4a17-b528-c2fbcf67f858 · inbound

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving cites this paper.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T04:46:48.775841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da35f5c0-5c4a-45d5-966b-c8241884670d · inbound

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning cites this paper.

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:46:44.198642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 428f1cfd-7fd3-4cd3-b859-83fe0c46c665 · inbound

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation cites this paper.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:49.116391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fad6d6dc-3dd3-439b-ab0b-64ebaa7bfc6d · inbound

DriveMRP: Enhancing Vision-Language Models with Synthetic Motion Data for Motion Risk Prediction cites this paper.

DriveMRP: Enhancing Vision-Language Models with Synthetic Motion Data for Motion Risk Prediction Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:06.190230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80fd0502-6b62-45d3-9672-cee026d09007 · inbound

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach cites this paper.

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T16:52:51.982939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8c6119a-69a2-4d16-9d4b-c82d337215df · inbound

Pulse Breathing Dynamics in a Mode-Locked Laser measured via SHG autocorrelation cites this paper.

Pulse Breathing Dynamics in a Mode-Locked Laser measured via SHG autocorrelation Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T18:29:56.718560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9d4edf1-5119-4f17-8189-9e38c16eb4e8 · inbound

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving cites this paper.

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:31:26.058928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6e8ab8c2-9295-40f4-92d6-5fdf1694495b · inbound

MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems cites this paper.

MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:51:27.186936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dd78ddac-4b26-41a0-95fc-b67e9de6a64c · inbound

Teaching Vision-Language-Action Models What to See and Where to Look cites this paper.

Teaching Vision-Language-Action Models What to See and Where to Look Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T16:48:39.573070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4b5ee0db-5871-4621-a20e-b5c875ea192e · inbound

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs cites this paper.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T00:13:49.297690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.