Paper Citation Record · LEDGER

Generative AI for Autonomous Driving: Frontiers and Opportunities

As of 31 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2505.08854.

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

pith.paper-citation-record.v1
2505.08854 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-31T06:34:12.847434+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T01:32:45.896103Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:29:50.230186Z

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 c451bdcf-ea41-4355-afde-dd4fa4c9df7b · 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 Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:46:44.057484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation 5ef7e487-f074-4f9a-a08b-c39a6a002f5f · inbound

Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles cites this paper.

Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:40:54.020643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation b2b0e73d-9b8d-47d0-817a-abba45521b79 · inbound

EnerGS: Energy-Based Gaussian Splatting with Partial Geometric Priors cites this paper.

EnerGS: Energy-Based Gaussian Splatting with Partial Geometric Priors Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:46:24.530242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation 5be1272c-260f-456b-9e4e-4dd5de3865e4 · inbound

Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security cites this paper.

Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 171

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:45:01.684277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation b78073fa-f04a-4fbf-9a78-5f6263ca19e0 · inbound

nuReasoning: A Reasoning-Centric Dataset and Benchmark for Long-Tail Autonomous Driving cites this paper.

nuReasoning: A Reasoning-Centric Dataset and Benchmark for Long-Tail Autonomous Driving Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:26:00.288550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation d69a2619-03c2-4544-bba3-16074d40f420 · inbound

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support cites this paper.

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:56:14.205046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation 4304a7a1-b6d4-4975-b59b-9b35c31fc71d · inbound

FleetAgent: Teleoperation Assistant for Autonomous Fleets via Vectorized V2N Messages cites this paper.

FleetAgent: Teleoperation Assistant for Autonomous Fleets via Vectorized V2N Messages Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:49:37.375098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation 7655e314-13ba-4447-a12e-e6bab28bbf64 · inbound

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs cites this paper.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:29:50.231830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation 63a17084-503a-4661-9e01-7b5adfb96cfa · inbound

Off the Rails: Hijacking the Scoring Head in Generative End-to-End Driving Planners with Safety-Violating Adversarial Perturbations cites this paper.

Off the Rails: Hijacking the Scoring Head in Generative End-to-End Driving Planners with Safety-Violating Adversarial Perturbations Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-01T12:55:44.535834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.