Paper Citation Record · LEDGER

End-to-End Driving with Online Trajectory Evaluation via BEV World Model

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2504.01941.

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

pith.paper-citation-record.v1
2504.01941 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:04:09.686715Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:07.201101Z

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 14bd923d-07ae-424a-8c2f-e0ec45f23eeb · inbound

DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving cites this paper.

DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:31:40.707601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e117ad1d-ab11-49da-a06e-942149eecf73 · inbound

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving cites this paper.

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 64

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T06:07:07.276169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 51d6e314-3316-4881-91cf-feebc09aecaa · inbound

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving cites this paper.

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T20:04:09.686715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 230a0b04-8927-41b3-9e69-ca7de315e0e4 · inbound

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model cites this paper.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T23:41:31.785006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e91c5745-8295-4c79-b1d1-e8305a6cc68b · inbound

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

SimScale: Learning to Drive via Real-World Simulation at Scale End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T04:34:01.870748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 119b2ed7-9dac-4d96-849f-865741e67011 · inbound

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving cites this paper.

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T12:21:31.330159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8b519ebb-21d2-40e1-9016-f3ce3a4a0185 · inbound

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving cites this paper.

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T17:07:43.177302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b62cb7a-bb76-4750-9392-cb676361c02f · inbound

DriveLaW:Unifying Planning and Video Generation in a Latent Driving World cites this paper.

DriveLaW:Unifying Planning and Video Generation in a Latent Driving World End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T19:38:21.035802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f12bcd35-c1e6-43e5-b859-21451d4af5fb · inbound

Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving cites this paper.

Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T11:59:59.545378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation de56c9af-2dbc-441b-a534-754d7f9a53f1 · inbound

DynFlowDrive: Flow-Based Dynamic World Modeling for Autonomous Driving cites this paper.

DynFlowDrive: Flow-Based Dynamic World Modeling for Autonomous Driving End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T09:09:53.314801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 04f19f92-cbd3-4bde-ab90-bd39763e1776 · inbound

DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale cites this paper.

DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T23:03:25.023694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1f5f9000-ea78-43b2-b4fc-55436cda8c1b · inbound

CrowdVLA: Embodied Vision-Language-Action Agents for Context-Aware Crowd Simulation cites this paper.

CrowdVLA: Embodied Vision-Language-Action Agents for Context-Aware Crowd Simulation End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:45:52.131692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ef0310b1-afbf-40f9-9e02-82d14b634a82 · inbound

Orion-Lite: Distilling LLM Reasoning into Efficient Vision-Only Driving Models cites this paper.

Orion-Lite: Distilling LLM Reasoning into Efficient Vision-Only Driving Models End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:41:00.858627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation da3db91f-4450-4c79-a101-06bbe6bca610 · inbound

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

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:50:21.125285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d7da6b43-3897-406c-9fd4-ae5ae3c1ebbb · inbound

Do Open-Loop Metrics Predict Closed-Loop Driving? A Cross-Benchmark Correlation Study of NAVSIM and Bench2Drive cites this paper.

Do Open-Loop Metrics Predict Closed-Loop Driving? A Cross-Benchmark Correlation Study of NAVSIM and Bench2Drive End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:51:14.300228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bf79572a-e962-48b1-a558-a8acb2e48177 · inbound

GEM: Generating LiDAR World Model via Deformable Mamba cites this paper.

GEM: Generating LiDAR World Model via Deformable Mamba End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T01:40:52.702669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 06fb739e-915f-4471-adc4-84d4b5c3bfca · inbound

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling cites this paper.

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T18:27:35.346621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 90488576-ae4c-4b9d-89a5-7d5b6ce08652 · inbound

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling cites this paper.

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T20:59:01.817908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 171a3137-9ec1-445b-ae81-e52b9eeff055 · inbound

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models cites this paper.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T04:58:05.346228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 11d30088-d9b8-44d1-873a-4fa37fad0a4c · inbound

SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation cites this paper.

SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T14:14:45.838668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 776fcf39-963a-48d3-82e1-6d5187a895c5 · inbound

DriveReward: A Comprehensive Dataset and Generative Vision-Language Reward Model for Autonomous Driving cites this paper.

DriveReward: A Comprehensive Dataset and Generative Vision-Language Reward Model for Autonomous Driving End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T22:27:25.553102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4f10b5a5-f1b3-44fd-8bd6-8f04793573c6 · inbound

OmniSpace: Efficient Geometry Awareness for Autonomous Vehicles MLLMs cites this paper.

OmniSpace: Efficient Geometry Awareness for Autonomous Vehicles MLLMs End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:49:42.149787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3413324a-3802-4bb4-ad3d-7c4121db71ff · inbound

ASSCG: Just-Right Gating over Chattering for Fast-Slow LLM Planning in Autonomous Driving cites this paper.

ASSCG: Just-Right Gating over Chattering for Fast-Slow LLM Planning in Autonomous Driving End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:30:07.202703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 27f288d0-1865-4459-897e-3dc5a0149259 · inbound

LWDrive: Layer-Wise World-Model-Guided Vision-Language Model Planning for Autonomous Driving cites this paper.

LWDrive: Layer-Wise World-Model-Guided Vision-Language Model Planning for Autonomous Driving End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T06:54:21.314224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4df91c19-bf53-4cea-bddd-80358ca66bfb · inbound

LWDrive: Layer-Wise World-Model-Guided Vision-Language Model Planning for Autonomous Driving cites this paper.

LWDrive: Layer-Wise World-Model-Guided Vision-Language Model Planning for Autonomous Driving End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T06:55:28.880410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fe2a9b06-1e68-46e5-8468-a98c4dc1d59b · inbound

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

PriorEye: Geospatial Visual Priors for End-to-End Autonomous Driving End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:55:41.501691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 26b58b27-e7e5-447e-a9e6-771051bfd413 · inbound

DriveVer: Lightweight Trajectory Evaluator as Test-Time Verifier for Autonomous Driving cites this paper.

DriveVer: Lightweight Trajectory Evaluator as Test-Time Verifier for Autonomous Driving End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T15:07:04.045856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b65e78ea-67cc-4219-acf2-f9f26244fd6f · 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 End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T16:48:39.590236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 62a3f43f-016d-4447-878e-8afc2436482c · inbound

UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation cites this paper.

UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-11T08:19:04.131379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61cf66fe-86cd-4261-9b60-c99f715b4df2 · inbound

GeoWorldAD: Geometry World Action Model for Autonomous Driving cites this paper.

GeoWorldAD: Geometry World Action Model for Autonomous Driving End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T17:46:57.704961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.