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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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

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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

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source=pdf_text observed=2026-08-04T07:54:30.449145Z digest=sha256:63523d3a44b7fbf7e5680a6b1c9010226bdba6294fa2366688084bd180beda77

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

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source=pdf_text observed=2026-08-04T07:54:31.233541Z digest=sha256:819e5c0d9d322142947e90c895611c03b38df041e706c1e237de377df6e053f8

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

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source=pdf_text observed=2026-08-04T07:54:31.713333Z digest=sha256:d2c06b0158620d615a8e183ab57c772e4a55ebe98b60165f4095a71a3507e83c

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

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source=pdf_text observed=2026-08-04T07:54:31.827396Z digest=sha256:8ded1fd22b1758f5c16385a1fae68e2a2052a66c7109675c17af690445b21f8a

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

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source=pdf_text observed=2026-08-04T07:54:31.939327Z digest=sha256:82b43fcd6d60cb2f7024ef0b4271741209fb9fc99dd41913bc99dc0614dd63ca

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

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source=pdf_text observed=2026-08-04T07:54:32.017304Z digest=sha256:c40a10aea52355599b146c2cc190def3ca8863c252a3e53516d10e7c8cd805b4

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

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source=pdf_text observed=2026-08-04T07:54:32.114466Z digest=sha256:b11104104c79df09f3620379f55e005bfdaf87e4f04c2409a014465e30916793

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

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source=pdf_text observed=2026-08-04T07:54:32.199756Z digest=sha256:4b3e29e3f43d971a67e80c2e6205231e05aadb6a3164e5521013b9e57e12e7f6

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

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source=pdf_text observed=2026-08-04T07:54:32.313141Z digest=sha256:36c40de445ba08c36f4a4f27ca691fc4381c7ffc23c4ad195b89fb2ad19dfdf6

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

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source=pdf_text observed=2026-08-04T07:54:32.380348Z digest=sha256:b550c766afffe97994a3d320fd49dc1c79c70d3ef972f8fc47a5cade330a8933

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

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source=pdf_text observed=2026-08-04T07:54:32.486586Z digest=sha256:9333b063bdb3d22f86f0c0341f4c037555423a9e8120dc504a863d7d61c5bd8d

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

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source=pdf_text observed=2026-08-04T07:54:32.713468Z digest=sha256:c28f9bcc3853ca7b95c03e917ffefa5d88c385d1539f01f1ca70d83783c9a290

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

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source=pdf_text observed=2026-08-04T07:54:31.111121Z digest=sha256:fc1ceccb0d449b19cb63b859c83e9109eb9c85abc09925bbb52015b987046d42

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

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source=pdf_text observed=2026-08-04T07:54:30.759844Z digest=sha256:5f71973bf43812f4b0f0c21a8db83908ec1468696cf2c99b4e6abfcb39e345cf

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

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source=pdf_text observed=2026-08-04T07:54:31.568689Z digest=sha256:1b867637ef94afe58c0a9f2e97410a9a8ff52e41ef19d15403230d9f6b20ca0e

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

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source=pdf_text observed=2026-08-04T07:54:30.588480Z digest=sha256:42503296d9441805fcd348e2b9fdd2d8dd61a366eb5e55600ab0b8089ff5e4cc

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

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source=pdf_text observed=2026-08-04T07:54:32.479332Z digest=sha256:0a5e719be3c0474b91175171164c304b452b6e3f1720fa1d178c194bb1710b0a

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

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source=pdf_text observed=2026-08-04T07:54:31.437962Z digest=sha256:4ff02321ac30d93c923acaa1bcc41b83a0212c9be1ee385b7e4427142cdce7f3

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

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source=pdf_text observed=2026-08-04T07:54:31.327067Z digest=sha256:87dcb6e276d32e223c60c169bf967d11367c003712d625e57923a106d6cebba5

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

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source=pdf_text observed=2026-08-04T07:54:30.937456Z digest=sha256:74f3af14864e144f5d470b14c0975938aca0e913a736c0e1af18e7ec944ba154

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

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source=pdf_text observed=2026-08-04T07:54:32.571507Z digest=sha256:56e28c9a10c042f84c1f1c12bd064060c0b1c96e52bfff0de97cf2fc205f915b

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

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arxiv_id, observed 2026-07-09T02:19:48.260809Z

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

source=pdf_text observed=2026-05-17T04:33:03.629533Z digest=sha256:d3664358d54a9182b0c362ba7e6742e3c6b652e2e2db59a6cb835c4cc6ed23e5

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

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source=pdf_text observed=2026-07-13T12:58:58.057084Z digest=sha256:d94e174538a9dae9fa9b9ff9ce5766dc5390de42ef9d2effecc35047220e5aee

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

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

source=pdf_text observed=2026-05-10T15:03:02.833156Z digest=sha256:c1b4244c933015a2087826d32036cc2096ba0c1d2bf62401eca248f4a1e65891

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

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arxiv_id, observed 2026-07-09T02:19:48.260809Z

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

source=pdf_text observed=2026-05-10T11:40:26.649975Z digest=sha256:f039e5e2433f8b8cee28e69c83822c14dd5ba0c557f7c3e86a272aeb3fc71cae

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

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arxiv_id, observed 2026-07-09T02:19:48.260809Z

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

source=pdf_text observed=2026-05-07T06:23:39.902215Z digest=sha256:36fc3a502adc26a8d68d8b13f6ad0bb6e6f718b42e2f8bee76ee8379c92e290c

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T16:47:09.487360Z digest=sha256:ee787871d70eadc63e631b25a793b4e1fc3114bd0a7aeb4cc4065b4860c3a844

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

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arxiv_id, observed 2026-07-09T02:19:48.260809Z

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

source=pdf_text observed=2026-05-12T02:59:27.018824Z digest=sha256:f203aa50ffc367cc847bf158667125dba7d116dc1152863d96af1209d475e320

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T21:53:02.554405Z digest=sha256:59a9c361f829f77476b7fc635a0d43810ee3a4605fde8b3fc94dd87f1bcb3655

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T03:04:13.554098Z digest=sha256:c39930e0d48db93238430b595ce63f686780ad93f54548fe2ab710b6cce0f8c6

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

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arxiv_id, observed 2026-07-09T02:19:48.260809Z

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

source=pdf_text observed=2026-06-26T20:22:03.938518Z digest=sha256:9d0ca57a20cbb27797b02a43970737e5a0126d606e791f60434fd02144710418

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T17:16:52.173943Z digest=sha256:54cc701c88b072d6532f52e4f3f4a2772edc05325dacf6d69e55d97de0d15fb1

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T05:58:58.075150Z digest=sha256:218923df9b2ef381c4e14a3a05cd7fa37be018f34a27fb6d08d7539de2bb7812

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

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