Paper Citation Record · LEDGER

LingoQA: Visual Question Answering for Autonomous Driving

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2312.14115.

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

pith.paper-citation-record.v1
2312.14115 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:55:07.864225Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T20:16:29.479037Z

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 715d6e5d-4004-464c-9389-9d75e2e4dc10 · inbound

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

Visual Adversarial Attack on Vision-Language Models for Autonomous Driving LingoQA: Visual Question Answering for Autonomous Driving

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-23T16:35:42.100491Z

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 9d8d3da1-e395-4cd3-819c-b7bcc2514ac8 · inbound

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

Black-Box Adversarial Attack on Vision Language Models for Autonomous Driving LingoQA: Visual Question Answering for Autonomous Driving

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T15:55:07.864225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ab47ac6-ba6f-45ac-8ede-bf94cabf9901 · inbound

Box-QAymo: Box-Referring VQA Dataset for Autonomous Driving cites this paper.

Box-QAymo: Box-Referring VQA Dataset for Autonomous Driving LingoQA: Visual Question Answering for Autonomous Driving

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T21:17:18.214948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a135f0c-687e-4e62-9b96-62710e03f9e5 · inbound

VRU-Accident: A Vision-Language Benchmark for Video Question Answering and Dense Captioning for Accident Scene Understanding cites this paper.

VRU-Accident: A Vision-Language Benchmark for Video Question Answering and Dense Captioning for Accident Scene Understanding LingoQA: Visual Question Answering for Autonomous Driving

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T17:52:02.695281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 724e97d7-6cda-4cf7-a4a1-cc482401e4c9 · inbound

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software cites this paper.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software LingoQA: Visual Question Answering for Autonomous Driving

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:23.692114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c08ae85f-f427-4c14-92e8-a5c5ba35c068 · inbound

DriveQA: Passing the Driving Knowledge Test cites this paper.

DriveQA: Passing the Driving Knowledge Test LingoQA: Visual Question Answering for Autonomous Driving

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-05T13:58:09.228259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 872f862a-d89d-487c-97de-4c9f804c8a75 · inbound

CogDriver: Integrating Cognitive Inertia for Temporally Coherent Planning in Autonomous Driving cites this paper.

CogDriver: Integrating Cognitive Inertia for Temporally Coherent Planning in Autonomous Driving LingoQA: Visual Question Answering for Autonomous Driving

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-18T20:11:50.830273Z

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 d34812f8-53de-4a11-852e-2ebd368a7834 · inbound

MITS: A Large-Scale Multimodal Benchmark Dataset for Intelligent Traffic Surveillance cites this paper.

MITS: A Large-Scale Multimodal Benchmark Dataset for Intelligent Traffic Surveillance LingoQA: Visual Question Answering for Autonomous Driving

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T20:33:33.197267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ec688ae-09a0-42ab-b81b-b8ddc584aed7 · inbound

Steadily moving semi-infinite fracture in plane poroelasticity cites this paper.

Steadily moving semi-infinite fracture in plane poroelasticity LingoQA: Visual Question Answering for Autonomous Driving

Reference 69

Resolution: metadata mismatch; local_arxiv, observed 2026-07-05T11:41:02.581641Z

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 5f395d58-8bae-4394-8fb5-508c29436e05 · inbound

XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments cites this paper.

XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments LingoQA: Visual Question Answering for Autonomous Driving

Reference 69

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:51:10.292063Z

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 9d29e5a7-d366-40be-95ef-6059aaa6b55d · inbound

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

CCTVBench: Contrastive Consistency Traffic VideoQA Benchmark for Multimodal LLMs LingoQA: Visual Question Answering for Autonomous Driving

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:31:05.499339Z

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 f9f27f1e-8f4b-42cf-92cf-bdb22a89d2e8 · inbound

GeoDrive-Bench: Benchmarking Region-Specific Multimodal Reasoning in Autonomous Driving cites this paper.

GeoDrive-Bench: Benchmarking Region-Specific Multimodal Reasoning in Autonomous Driving LingoQA: Visual Question Answering for Autonomous Driving

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:06:19.698899Z

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 f3fab79f-6476-475d-8f5b-fec3bbbc51c8 · inbound

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective cites this paper.

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective LingoQA: Visual Question Answering for Autonomous Driving

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-07-09T00:25:48.549738Z

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 7dca892e-6f7e-413d-b0a6-349fc47c17f7 · inbound

A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving cites this paper.

A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving LingoQA: Visual Question Answering for Autonomous Driving

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-07-09T20:16:29.480199Z

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.