Paper Citation Record · LEDGER

DriveLM: Driving with Graph Visual Question Answering

As of 1 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2312.14150.

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

pith.paper-citation-record.v1
2312.14150 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-01T06:32:01.292127+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T17:52:59.346637Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 09a61a38-c4c6-449b-bfb4-bf7e01ac4fca · inbound

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models cites this paper.

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models DriveLM: Driving with Graph Visual Question Answering

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-12T19:22:35.510642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation e58f663b-80c5-413e-a746-562d82612804 · inbound

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? cites this paper.

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? DriveLM: Driving with Graph Visual Question Answering

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:59:32.692729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 7beae691-896c-4d69-bee3-970cc8d8a687 · inbound

Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving cites this paper.

Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving DriveLM: Driving with Graph Visual Question Answering

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:24:23.869042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation b9a3cdfa-faab-44df-9ba4-e424eca91138 · inbound

Visual Adversarial Attack on Vision-Language Models for Autonomous Driving cites this paper.

Visual Adversarial Attack on Vision-Language Models for Autonomous Driving DriveLM: Driving with Graph Visual Question Answering

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-23T16:35:42.192052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation ae8e2572-5414-49b8-b5bd-d3d6f04ca85d · inbound

AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning cites this paper.

AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning DriveLM: Driving with Graph Visual Question Answering

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:06:27.230069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 876aa8d1-78ce-433f-9c25-7c8c9fffd000 · 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 DriveLM: Driving with Graph Visual Question Answering

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:31:40.662059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation ba3bd234-77d9-4c20-b061-2f2412f81c17 · inbound

Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving cites this paper.

Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving DriveLM: Driving with Graph Visual Question Answering

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:20:50.519821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 8f98ee6c-7d80-407f-a3e8-2db48c1b13e1 · inbound

B4DL: A Benchmark for 4D LiDAR LLM in Spatio-Temporal Understanding cites this paper.

B4DL: A Benchmark for 4D LiDAR LLM in Spatio-Temporal Understanding DriveLM: Driving with Graph Visual Question Answering

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-19T00:11:55.934515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 130f7f11-fe50-4878-a24d-315f3df4f5b1 · inbound

OmniDrive-R1: Reinforcement-driven Interleaved Multi-modal Chain-of-Thought for Trustworthy Vision-Language Autonomous Driving cites this paper.

OmniDrive-R1: Reinforcement-driven Interleaved Multi-modal Chain-of-Thought for Trustworthy Vision-Language Autonomous Driving DriveLM: Driving with Graph Visual Question Answering

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:38:37.855821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation e8c61c05-ce62-431a-9d42-9fe6fdf14a58 · inbound

Beyond the Beep: Scalable Collision Anticipation and Real-Time Explainability with BADAS-2.0 cites this paper.

Beyond the Beep: Scalable Collision Anticipation and Real-Time Explainability with BADAS-2.0 DriveLM: Driving with Graph Visual Question Answering

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:25:50.376664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation a73e39cb-9031-4e49-8181-e2df90c6408b · inbound

OneDrive: Unified Multi-Paradigm Driving with Vision-Language-Action Models cites this paper.

OneDrive: Unified Multi-Paradigm Driving with Vision-Language-Action Models DriveLM: Driving with Graph Visual Question Answering

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:56:25.086289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation a7cfe32a-1c0b-4f7d-ac71-03f6c0cff581 · inbound

CCTVBench: Contrastive Consistency Traffic VideoQA Benchmark for Multimodal LLMs cites this paper.

CCTVBench: Contrastive Consistency Traffic VideoQA Benchmark for Multimodal LLMs DriveLM: Driving with Graph Visual Question Answering

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:31:05.488460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation a191e450-f9fa-48a3-9ef6-506ea61c086d · inbound

EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving cites this paper.

EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving DriveLM: Driving with Graph Visual Question Answering

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:19:47.225470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 84c51a34-ee49-4b49-8d40-202c7726edc1 · inbound

TRIP-Evaluate: An Open Multimodal Benchmark for Evaluating Large Models in Transportation cites this paper.

TRIP-Evaluate: An Open Multimodal Benchmark for Evaluating Large Models in Transportation DriveLM: Driving with Graph Visual Question Answering

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-09T20:17:04.496759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 4bce54b4-283b-4444-9efa-97c5b8abed7b · inbound

EponaV2: Driving World Model with Comprehensive Future Reasoning cites this paper.

EponaV2: Driving World Model with Comprehensive Future Reasoning DriveLM: Driving with Graph Visual Question Answering

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:15:02.561817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 1c1c84cf-2d65-45d7-b5e0-ff903a848dbe · inbound

ChainFlow-VLA: Causal Flow Planning with Vision-Language Models cites this paper.

ChainFlow-VLA: Causal Flow Planning with Vision-Language Models DriveLM: Driving with Graph Visual Question Answering

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:40:23.776537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 04a2be31-f9df-4bc2-8ed0-b4bd39c7f42e · inbound

LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding cites this paper.

LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding DriveLM: Driving with Graph Visual Question Answering

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T17:53:46.756827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 495e8542-65ba-441e-a483-bfad53d224c9 · 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 DriveLM: Driving with Graph Visual Question Answering

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:29:38.033869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.