Paper Citation Record · LEDGER

GenAD: Generative End-to-End Autonomous Driving

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2402.11502.

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

pith.paper-citation-record.v1
2402.11502 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:32:52.176171Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:29:38.017847Z

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 48a20275-b5e2-4042-8406-0f8d31abd2d8 · inbound

DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation cites this paper.

DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation GenAD: Generative End-to-End Autonomous Driving

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T18:50:32.555827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef4327e8-596d-4848-87e5-d31acc5a429f · inbound

Monocular Lane Detection Based on Deep Learning: A Survey cites this paper.

Monocular Lane Detection Based on Deep Learning: A Survey GenAD: Generative End-to-End Autonomous Driving

Reference 202

Resolution: unresolved; no resolver link, observed 2026-08-12T13:18:37.380787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c29ddf6-a0a3-466e-9c71-f0e4ce15515e · inbound

FASIONAD : FAst and Slow FusION Thinking Systems for Human-Like Autonomous Driving with Adaptive Feedback cites this paper.

FASIONAD : FAst and Slow FusION Thinking Systems for Human-Like Autonomous Driving with Adaptive Feedback GenAD: Generative End-to-End Autonomous Driving

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T11:41:01.027810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a881ea0-113f-4995-91b9-8f178bcfce87 · inbound

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic cites this paper.

How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic GenAD: Generative End-to-End Autonomous Driving

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T21:55:11.679735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3768ceed-6242-4fd5-851f-519b592fb326 · inbound

Physical Informed Driving World Model cites this paper.

Physical Informed Driving World Model GenAD: Generative End-to-End Autonomous Driving

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T17:58:58.480102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ebdb4b6-7a37-4df2-882d-160bb670f21d · inbound

GAGS: Granularity-Aware Feature Distillation for Language Gaussian Splatting cites this paper.

GAGS: Granularity-Aware Feature Distillation for Language Gaussian Splatting GenAD: Generative End-to-End Autonomous Driving

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T12:58:55.140500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cfd16f6-a9b0-48bb-a972-e71fb96ed998 · inbound

Fully Unified Motion Planning for End-to-End Autonomous Driving cites this paper.

Fully Unified Motion Planning for End-to-End Autonomous Driving GenAD: Generative End-to-End Autonomous Driving

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T12:32:52.176171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 120b1966-0601-49c7-a4e7-c8b9d683d678 · inbound

Challenger: Affordable Adversarial Driving Video Generation cites this paper.

Challenger: Affordable Adversarial Driving Video Generation GenAD: Generative End-to-End Autonomous Driving

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:06.149612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2df07b14-1322-498a-9856-b09b13704844 · 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 GenAD: Generative End-to-End Autonomous Driving

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:31:40.603621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e5ef869a-43b2-4f14-b556-ea1b16459bec · inbound

Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models cites this paper.

Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models GenAD: Generative End-to-End Autonomous Driving

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T12:43:58.842298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eab5a7d9-eafd-418e-bcb6-80cc2d23eb9e · inbound

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation cites this paper.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation GenAD: Generative End-to-End Autonomous Driving

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T12:38:47.557681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f7aa221-0496-4f98-a9ec-0010de841f02 · inbound

A Novel Multi-layer Task-centric and Data Quality Framework for Autonomous Driving cites this paper.

A Novel Multi-layer Task-centric and Data Quality Framework for Autonomous Driving GenAD: Generative End-to-End Autonomous Driving

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T19:28:59.862886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a08b413d-1541-4a81-a9dc-e5daa066326b · 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 GenAD: Generative End-to-End Autonomous Driving

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:07:07.270859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5bd35ac7-ac91-4945-9378-ca0e88a00a9e · inbound

OmniNWM: Omniscient Driving Navigation World Models cites this paper.

OmniNWM: Omniscient Driving Navigation World Models GenAD: Generative End-to-End Autonomous Driving

Reference 112

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:18.969790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40c9e54e-f7af-400e-b9c4-43febbf3f1d4 · inbound

Kerr-Schild Double Copy of the Randall-Sundrum Black String cites this paper.

Kerr-Schild Double Copy of the Randall-Sundrum Black String GenAD: Generative End-to-End Autonomous Driving

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-15T11:39:16.503017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d5d81b0-71dc-4b21-8cb2-a15f731ea4a1 · inbound

Not All Agents Matter: From Global Attention Dilution to Risk-Prioritized Game Planning cites this paper.

Not All Agents Matter: From Global Attention Dilution to Risk-Prioritized Game Planning GenAD: Generative End-to-End Autonomous Driving

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:50:54.297059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ad0b6139-c745-4248-9f1e-c8ae9ab43fe1 · inbound

Learning Vision-Language-Action World Models for Autonomous Driving cites this paper.

Learning Vision-Language-Action World Models for Autonomous Driving GenAD: Generative End-to-End Autonomous Driving

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:31:00.934003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5558b46-4f99-47e1-ac9e-68746b044f27 · inbound

Steins;Gate Drive: Semantic Safety Arbitration over Structured Futures for Latency-Decoupled LLM Planning cites this paper.

Steins;Gate Drive: Semantic Safety Arbitration over Structured Futures for Latency-Decoupled LLM Planning GenAD: Generative End-to-End Autonomous Driving

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-22T05:41:08.349649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ee71dcf3-483c-41f6-a024-94309a24394a · inbound

OmniV2X: A Generative Foundation Planner for Efficient End-to-End Cooperative Driving cites this paper.

OmniV2X: A Generative Foundation Planner for Efficient End-to-End Cooperative Driving GenAD: Generative End-to-End Autonomous Driving

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:29:38.019242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fc14ba6f-b5eb-4e74-a9bf-27021fa46376 · inbound

ReWorld: Learning Better Representations for World Action Models cites this paper.

ReWorld: Learning Better Representations for World Action Models GenAD: Generative End-to-End Autonomous Driving

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:25:58.378956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.