Paper Citation Record · LEDGER

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer

As of 14 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 13 inbound Pith citation observations for arXiv:2510.24108.

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

pith.paper-citation-record.v1
2510.24108 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:54:32.713468Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:38:42.873653Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:09:33.936195Z

Reference resolution

21 of 21 outbound references displayed

verified exact0
verified fuzzy0
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d6c2b98c-7420-43ca-ab21-8a9e0bd5f380 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer Cosmos World Foundation Model Platform for Physical AI

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:30.449145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48caf836-203c-464c-8d22-7fb4f7a60563 · outbound

This paper cites Rad: Training an end-to-end driving policy via large-scale 3dgs-based reinforcement learning.arXiv preprint arXiv:2502.13144,.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer Rad: Training an end-to-end driving policy via large-scale 3dgs-based reinforcement learning.arXiv preprint arXiv:2502.13144,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:31.233541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99d47ae0-0f80-4c56-b483-20bb0c448f2e · outbound

This paper cites Finetuning generative trajectory model with reinforcement learning from human feedback.arXiv preprint arXiv:2503.10434, 2025a.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer Finetuning generative trajectory model with reinforcement learning from human feedback.arXiv preprint arXiv:2503.10434, 2025a

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:31.713333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04dd292c-cc48-4cb7-a927-9e932b0e3052 · outbound

This paper cites Continuous control with deep reinforcement learning.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer Continuous control with deep reinforcement learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:31.827396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 151ecd58-2398-4016-9f6b-10d3d4cb2ebc · outbound

This paper cites Safe Navigation: Training Autonomous Vehicles using Deep Reinforcement Learning in CARLA.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer Safe Navigation: Training Autonomous Vehicles using Deep Reinforcement Learning in CARLA

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:31.939327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0794dfe-ef47-4e5e-9ef6-078c9ab9d73a · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:32.017304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86207efa-46fa-49e1-8d8a-eee324357bca · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:32.114466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8a1f4c7-af4f-4ff2-81d0-5671561e7b41 · outbound

This paper cites Centaur: Robust End-to-End Autonomous Driving with Test-Time Training.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:32.199756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e99d661-0e21-4ef9-82ed-6cbcd3597d7c · outbound

This paper cites He-drive: Human-like end-to-end driving with vision language models.arXiv preprint arXiv:2410.05051,.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer He-drive: Human-like end-to-end driving with vision language models.arXiv preprint arXiv:2410.05051,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:32.313141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e82b46c7-5023-4127-9c05-0ee9e214f370 · outbound

This paper cites Enhancing Autonomous Driving Safety with Collision Scenario Integration.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer Enhancing Autonomous Driving Safety with Collision Scenario Integration

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:32.380348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f3fd952-0b00-4d95-9492-eca971f70433 · outbound

This paper cites Raw2drive: Reinforcement learning with aligned world models for end-to-end autonomous driving (in carla v2).arXiv preprint arXiv:2505.16394,.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer Raw2drive: Reinforcement learning with aligned world models for end-to-end autonomous driving (in carla v2).arXiv preprint arXiv:2505.16394,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:32.486586Z

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Observation 83b9701a-b7dc-4a0b-8255-df52e00b1de5 · outbound

This paper cites HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:32.713468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 903e24f4-bb53-48e6-8999-d7de6ecbf706 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:31.111121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a83e19fe-3e0e-4029-9efd-23a47a025ff1 · outbound

This paper cites Robust Autonomy Emerges from Self-Play.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer Robust Autonomy Emerges from Self-Play

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:30.759844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc706218-b02e-4a30-8c44-20b76a4c55d4 · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:31.568689Z

Source-reported events for the cited work

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Observation 6c557d5c-e706-4ba5-9101-4172919f17fe · outbound

This paper cites VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:30.588480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7d370d4-f307-4cdb-94cf-855746e7c966 · outbound

This paper cites Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:32.479332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6d06704-b62d-4783-bba3-83f3ecb3e0eb · outbound

This paper cites CaRL: Learning Scalable Planning Policies with Simple Rewards.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer CaRL: Learning Scalable Planning Policies with Simple Rewards

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:31.437962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 955c5a58-b381-4f05-a676-1a290a6ead17 · outbound

This paper cites DiST-4D: Disentangled Spatiotemporal Diffusion with Metric Depth for 4D Driving Scene Generation.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer DiST-4D: Disentangled Spatiotemporal Diffusion with Metric Depth for 4D Driving Scene Generation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:31.327067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89ab1a19-e0ee-40c0-bcb0-6abc4447173f · outbound

This paper cites A Comprehensive Review of Reinforcement Learning for Autonomous Driving in the CARLA Simulator.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer A Comprehensive Review of Reinforcement Learning for Autonomous Driving in the CARLA Simulator

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:30.937456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30efe931-4633-4289-bfe2-ee8bbf13fefa · outbound

This paper cites Drivesuprim: Towards precise trajectory selection for end-to-end planning.arXiv preprint arXiv:2506.06659,.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer Drivesuprim: Towards precise trajectory selection for end-to-end planning.arXiv preprint arXiv:2506.06659,

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:32.571507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 5238d9c4-ec9b-4951-89ff-cb7539097f8d · inbound

SimScale: Learning to Drive via Real-World Simulation at Scale cites this paper.

SimScale: Learning to Drive via Real-World Simulation at Scale Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-07-09T02:19:48.260809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 912609aa-a6ea-4c39-aedc-0b6ed971f260 · inbound

HAD: Combining Hierarchical Diffusion with Metric-Decoupled RL for End-to-End Driving cites this paper.

HAD: Combining Hierarchical Diffusion with Metric-Decoupled RL for End-to-End Driving Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-13T12:58:58.057084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51ace0f8-e970-4293-abfa-b982400f1cdb · inbound

BridgeSim: Unveiling the OL-CL Gap in End-to-End Autonomous Driving cites this paper.

BridgeSim: Unveiling the OL-CL Gap in End-to-End Autonomous Driving Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-09T02:19:48.260809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4b5101a2-0834-4ec0-bb95-8f160defba92 · inbound

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework cites this paper.

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-09T02:19:48.260809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c4408e41-dbd8-4d77-a2b4-9dbfda3460ee · inbound

GSDrive: Reinforcing Driving Policies by Multi-mode Future Trajectory Probing with 3D Gaussian Splatting Environment cites this paper.

GSDrive: Reinforcing Driving Policies by Multi-mode Future Trajectory Probing with 3D Gaussian Splatting Environment Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-09T02:19:48.260809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f56cd369-2278-462b-91d2-91bcdae2310a · inbound

GSDrive: Reinforcing Driving Policies by Multi-mode Future Trajectory Probing with 3D Gaussian Splatting Environment cites this paper.

GSDrive: Reinforcing Driving Policies by Multi-mode Future Trajectory Probing with 3D Gaussian Splatting Environment Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-09T02:19:48.260809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 111272e3-f9ae-4635-8e86-c106f0ef46d7 · inbound

DriveFuture: Future-Aware Latent World Models for Autonomous Driving cites this paper.

DriveFuture: Future-Aware Latent World Models for Autonomous Driving Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-07-09T02:19:48.260809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 958235eb-37fc-431b-b43f-1411b7297cfc · inbound

Test-Time Trajectory Optimization for Autonomous Driving cites this paper.

Test-Time Trajectory Optimization for Autonomous Driving Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-09T02:19:48.260809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0d15497c-644c-40cf-af87-f029f8a9da38 · inbound

DriveJudge: Rethinking Autonomous Driving Evaluation with Vision-Language Models cites this paper.

DriveJudge: Rethinking Autonomous Driving Evaluation with Vision-Language Models Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-09T02:19:48.260809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 975e0392-a67e-4eb7-8e6b-6f263f7b95c6 · inbound

Scaling Self-Play for End-to-End Driving cites this paper.

Scaling Self-Play for End-to-End Driving Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-07-09T02:19:48.260809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 34759951-0f00-4e43-b15b-e3cf79596dfa · inbound

Slow Brain, Fast Planner: Latency-Resilient VLM-Augmented Urban Navigation cites this paper.

Slow Brain, Fast Planner: Latency-Resilient VLM-Augmented Urban Navigation Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-09T02:19:48.260809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 018c7695-69fe-482e-9772-39cfb2acae91 · inbound

PriorEye: Geospatial Visual Priors for End-to-End Autonomous Driving cites this paper.

PriorEye: Geospatial Visual Priors for End-to-End Autonomous Driving Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-09T02:19:48.260809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cc24f68a-c76d-4cae-ac0a-36e4f3093015 · inbound

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning cites this paper.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T20:38:42.873653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.