Paper Citation Record · LEDGER

VDT-Auto: End-to-end Autonomous Driving with VLM-Guided Diffusion Transformers

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.20108.

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

pith.paper-citation-record.v1
2502.20108 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:25:14.926265Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T05:43:06.022079Z

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 de643acd-41ae-4872-aa3d-48da67347f5e · inbound

CogAD: Cognitive-Hierarchy Guided End-to-End Autonomous Driving cites this paper.

CogAD: Cognitive-Hierarchy Guided End-to-End Autonomous Driving VDT-Auto: End-to-end Autonomous Driving with VLM-Guided Diffusion Transformers

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:47:11.151344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3891263f-772a-48f2-82ad-6468282c1ebe · 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 VDT-Auto: End-to-end Autonomous Driving with VLM-Guided Diffusion Transformers

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:07:07.225444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ff3e68e6-510b-43d7-bf8b-dfcca63202e4 · 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 VDT-Auto: End-to-end Autonomous Driving with VLM-Guided Diffusion Transformers

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:04:04.689043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1fae45a-ce62-424f-98e6-53329e7ea804 · inbound

ViLaD: A Large Vision Language Diffusion Framework for End-to-End Autonomous Driving cites this paper.

ViLaD: A Large Vision Language Diffusion Framework for End-to-End Autonomous Driving VDT-Auto: End-to-end Autonomous Driving with VLM-Guided Diffusion Transformers

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T17:25:14.926265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25c05b00-9658-49c7-a415-4069f1923d82 · inbound

BEVLM: Distilling Semantic Knowledge from LLMs into Bird's-Eye View Representations cites this paper.

BEVLM: Distilling Semantic Knowledge from LLMs into Bird's-Eye View Representations VDT-Auto: End-to-end Autonomous Driving with VLM-Guided Diffusion Transformers

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-15T13:44:18.418529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ae49666-7d5c-4d17-a439-aa971ad18bf2 · inbound

VL-DPO: Vision-Language-Guided Finetuning for Preference-Aligned Autonomous Driving cites this paper.

VL-DPO: Vision-Language-Guided Finetuning for Preference-Aligned Autonomous Driving VDT-Auto: End-to-end Autonomous Driving with VLM-Guided Diffusion Transformers

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:43:06.027666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.