Paper Citation Record · LEDGER

Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.19838.

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

pith.paper-citation-record.v1
2403.19838 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:17:57.316187Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:58:53.676935Z

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 b2f4eb50-3c55-4160-9cd0-11feb99c8957 · inbound

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving cites this paper.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:17:57.316187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eed6d6d-d34b-4e2b-815d-f21202db4b5c · inbound

Automated Vehicles Should be Connected with Natural Language cites this paper.

Automated Vehicles Should be Connected with Natural Language Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:54.779005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 438a597f-ad10-4258-b2c1-a49f97844f2d · inbound

DriveMRP: Enhancing Vision-Language Models with Synthetic Motion Data for Motion Risk Prediction cites this paper.

DriveMRP: Enhancing Vision-Language Models with Synthetic Motion Data for Motion Risk Prediction Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:05.620616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f26e331-b50f-4d91-a108-3e6bf18e7ceb · inbound

SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval-Augmented Generation cites this paper.

SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval-Augmented Generation Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T12:43:10.891565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d630d15-1fb3-46c3-bb8d-51d9c5ef4652 · inbound

Multimodal Backdoor Attack on VLMs for Autonomous Driving via Graffiti and Cross-Lingual Triggers cites this paper.

Multimodal Backdoor Attack on VLMs for Autonomous Driving via Graffiti and Cross-Lingual Triggers Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:55:49.736805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ecdf027-dd4b-4696-915a-5e8691ea5f88 · inbound

DRScaffold: Boosting Dense-Scene Reasoning in Lightweight Vision Language Models cites this paper.

DRScaffold: Boosting Dense-Scene Reasoning in Lightweight Vision Language Models Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:54:00.642046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0ee4793b-e8c0-4736-b6a8-dbe96887c7a6 · inbound

Overthink-Triggered Slowdown Attacks on LVLM-Based Robotic Systems cites this paper.

Overthink-Triggered Slowdown Attacks on LVLM-Based Robotic Systems Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T19:58:53.678546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fb82333b-ec35-4722-bc0f-66543283ef2f · inbound

SafeGen: Goal-Conditioned Video Diffusion of Safety-Critical Scenarios for VLM-Based Autonomous Driving cites this paper.

SafeGen: Goal-Conditioned Video Diffusion of Safety-Critical Scenarios for VLM-Based Autonomous Driving Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T12:01:33.235532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.