Paper Citation Record · LEDGER

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving

As of 10 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2605.24098.

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

pith.paper-citation-record.v1
2605.24098 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T15:40:27.688409Z

measured 18 of 18 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

verified exact5
verified fuzzy13
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 336ed89a-6d35-4ad1-b2ef-80900639958e · outbound

This paper cites Qwen3-VL Technical Report.

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving Qwen3-VL Technical Report

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-06-30T15:44:48.386698Z

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 f29393c1-d7d5-42d3-a613-6637b4c0d3fd · outbound

This paper cites Bev-llm: Leveraging multimodal bev maps for scene captioning in autonomous driving.

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving Bev-llm: Leveraging multimodal bev maps for scene captioning in autonomous driving

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T17:05:08.562997Z

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 7fe12e48-54fa-4f54-b740-1f001fc05ade · outbound

This paper cites Rehg, and Chao Zheng.

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving Rehg, and Chao Zheng

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T17:05:08.583353Z

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 637fd8f2-603f-4fe3-ace6-9d97deef29aa · outbound

This paper cites arXiv preprint arXiv:2502.09980 (2025).

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving arXiv preprint arXiv:2502.09980 (2025)

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:44:48.395736Z

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 0f58df9c-1448-4313-857c-c8edf7a8f46d · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving Qlora: Efficient finetuning of quantized llms

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T17:05:08.581782Z

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 60ab1e66-1da5-407b-b27b-f897b6f2d31e · outbound

This paper cites GPT-4o System Card.

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving GPT-4o System Card

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-06-30T15:44:48.389726Z

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 38aee865-6f0e-4d5a-a24b-6d7893248868 · outbound

This paper cites Stride-qa: visual question an- swering dataset for spatiotemporal reasoning in urban driv- ing scenes.

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving Stride-qa: visual question an- swering dataset for spatiotemporal reasoning in urban driv- ing scenes

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T17:05:08.579958Z

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 1ef9af41-89b3-4493-947b-994193d103c1 · outbound

This paper cites V3lma: Visual 3d-enhanced language model for autonomous driving.

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving V3lma: Visual 3d-enhanced language model for autonomous driving

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T17:05:08.577850Z

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 d1b3cae3-49bc-4a4a-a286-d59455680d4c · outbound

This paper cites Vlaad: Vision and language assistant for autonomous driv- ing.

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving Vlaad: Vision and language assistant for autonomous driv- ing

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T17:05:08.572200Z

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 06c25c65-b967-4ce7-b73c-2b456484035c · outbound

This paper cites Nuscenes-qa: A multi-modal visual question answering benchmark for autonomous driving scenario.

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving Nuscenes-qa: A multi-modal visual question answering benchmark for autonomous driving scenario

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T17:05:08.574152Z

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 24b9da84-73b5-4e97-b9c5-91ada441cba8 · outbound

This paper cites Drivelm: Driving with graph visual question answering.

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving Drivelm: Driving with graph visual question answering

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T17:05:08.575897Z

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 530f2969-2326-4b83-b078-6293727be21e · outbound

This paper cites V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors.

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:44:48.392680Z

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 241bc9a4-ff60-4146-9b89-e0714b5f0c00 · outbound

This paper cites V2X-ViT: Vehicle-to-everything cooperative perception with vision transformer.

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving V2X-ViT: Vehicle-to-everything cooperative perception with vision transformer

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T17:05:08.566676Z

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 ff018cc5-08a2-498e-972a-268b48415072 · outbound

This paper cites Center- based 3d object detection and tracking.

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving Center- based 3d object detection and tracking

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T17:05:08.570645Z

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 40beaf1d-6368-4cbf-9a59-e2507ec722c7 · outbound

This paper cites V2X-QA: A Comprehensive Reasoning Dataset and Benchmark for Multimodal Large Language Models in Autonomous Driving Across Ego, Infrastructure, and Cooperative Views.

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving V2X-QA: A Comprehensive Reasoning Dataset and Benchmark for Multimodal Large Language Models in Autonomous Driving Across Ego, Infrastructure, and Cooperative Views

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-06-30T15:44:48.392689Z

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 047097c5-26e2-4228-a0e7-618752db6235 · outbound

This paper cites Weinberger, and Yoav Artzi.

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving Weinberger, and Yoav Artzi

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T17:05:08.570304Z

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 60f66766-c2cd-4ff6-b486-8b89f883d09a · outbound

This paper cites Tumtraf videoqa: Dataset and benchmark for uni- fied spatio-temporal video understanding in traffic scenes.

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving Tumtraf videoqa: Dataset and benchmark for uni- fied spatio-temporal video understanding in traffic scenes

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T17:05:08.564779Z

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 7900028a-68d5-4a10-9537-f0d1fcebf74c · outbound

This paper cites Tumtraf v2x cooperative perception dataset.

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving Tumtraf v2x cooperative perception dataset

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T17:05:08.561008Z

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.

Pith citing papers

No inbound Pith citation observations are available.