Paper Citation Record · LEDGER

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving

As of 11 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2501.05081.

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

pith.paper-citation-record.v1
2501.05081 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:22:19.910544Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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 exact2
verified fuzzy7
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 18b46a9e-99e5-4624-8f95-0ef70432ed21 · outbound

This paper cites Learning transferable visual models f rom natural language supervision.

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving Learning transferable visual models f rom natural language supervision

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:22:20.517683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ddeab950-a198-4916-a737-1bcf639f6a2d · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T21:22:19.824567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1b2d78c-a478-49e9-9ef2-1ae0bcce09dd · outbound

This paper cites Qwen 2 technical report.

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving Qwen 2 technical report

Reference 3

Resolution: verified exact; raw_fallback, observed 2026-08-10T21:22:20.357461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 633ee5de-ecd7-4e89-ae88-503bef1ca107 · outbound

This paper cites InternLM2 Technical Report.

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving InternLM2 Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T21:22:19.834569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddc8b96b-ac47-482e-96e5-1da15a6e930a · outbound

This paper cites MMBench: Is Your Multi-modal Model an All-around Player?.

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving MMBench: Is Your Multi-modal Model an All-around Player?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T21:22:19.840508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aad42481-c58b-41b0-9dea-14e692f0df36 · outbound

This paper cites Chartqa: A bench mark for question answering about charts with vi sual and logical reasoning.

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving Chartqa: A bench mark for question answering about charts with vi sual and logical reasoning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:22:20.495179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e8c08282-0535-4c9d-8338-ddef7c483094 · outbound

This paper cites Flamingo: a visual language model for few- shot learning.

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving Flamingo: a visual language model for few- shot learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:22:20.472029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e31fbe64-9402-4fb4-b755-76cfb338342a · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T21:22:19.857054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4e15ae2-0f7b-4c17-afb0-8354e66a0847 · outbound

This paper cites Visionllm: Large language model is also an open -ended decoder fo r vision -centric tasks.

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving Visionllm: Large language model is also an open -ended decoder fo r vision -centric tasks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:22:20.451236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4fe7dcea-dcd0-4983-974b-779ef6c0a7a1 · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving PaLM-E: An Embodied Multimodal Language Model

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:22:19.869033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c13aabd6-f67d-4aef-a361-051033776d8f · outbound

This paper cites Sigmoid loss for language i mage pre- training.

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving Sigmoid loss for language i mage pre- training

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:22:20.433198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 376a96c4-3ac9-4816-b3d4-993242adca57 · outbound

This paper cites Moma: Effici ent early -fusion pre -training with mixture of moda lity-aware experts.

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving Moma: Effici ent early -fusion pre -training with mixture of moda lity-aware experts

Reference 12

Resolution: verified exact; raw_fallback, observed 2026-08-10T21:22:20.165094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6f65249d-b997-44d2-a874-e22410aced12 · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:22:19.885529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31ab0750-27a0-49c0-a942-9e0e3ec7e197 · outbound

This paper cites Learning transferable visual models f rom natural language supervision.

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving Learning transferable visual models f rom natural language supervision

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:22:20.415990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6110f163-edf3-4177-9e17-aaaf7998da83 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving LLaMA: Open and Efficient Foundation Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:22:19.895502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f244f46d-4ccd-42dd-bb69-d4200c4c03c5 · outbound

This paper cites Danish, Muzamm al Naseer, Abhijit Das, Salman Khan, and Fahad S.

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving Danish, Muzamm al Naseer, Abhijit Das, Salman Khan, and Fahad S

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:22:20.397373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dd37a337-bd47-4f06-95d5-82c705ad1070 · outbound

This paper cites LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T21:22:19.905262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae4ac58d-f8f2-4014-8513-1a6b9f23d3da · outbound

This paper cites DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model.

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:22:19.910544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.