Paper Citation Record · LEDGER

Dolphins: Multimodal Language Model for Driving

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2312.00438.

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

pith.paper-citation-record.v1
2312.00438 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:38:43.273602Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T16:35:42.142836Z

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 2df64d50-fdae-4ad5-9a76-5bf2c79e2cf9 · inbound

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

Visual Adversarial Attack on Vision-Language Models for Autonomous Driving Dolphins: Multimodal Language Model for Driving

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-23T16:35:42.147144Z

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 a5409517-a9f0-48ae-a5f2-665bc24bc018 · inbound

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation cites this paper.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Dolphins: Multimodal Language Model for Driving

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T12:38:43.273602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16892d25-c216-4f37-903a-92aefed9ae5b · inbound

AD^2-Bench: A Hierarchical CoT Benchmark for MLLM in Autonomous Driving under Adverse Conditions cites this paper.

AD^2-Bench: A Hierarchical CoT Benchmark for MLLM in Autonomous Driving under Adverse Conditions Dolphins: Multimodal Language Model for Driving

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T04:49:28.374098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dd443bf-64e6-47c3-be1f-8389e6fb831e · inbound

UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding cites this paper.

UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding Dolphins: Multimodal Language Model for Driving

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:23.026538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.