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Paper Citation Record · LEDGER

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior

As of 22 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2507.18447.

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

pith.paper-citation-record.v1
2507.18447 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:36:56.186103Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T11:22:20.275538Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

  • verified exact1
  • verified fuzzy8
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e76bce89-c891-4842-9abe-6b05ee14e857 · outbound

This paper cites Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture

Reference 1

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unresolved
no resolver link, observed 2026-08-06T14:36:55.724743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:55.724743Z digest=sha256:a0a308605b9e3e8b78b1738df544b6e4fb596f04777a66f3909144979bbe4ae8

Observation 2e71e080-19d0-451e-bda6-909aab855380 · outbound

This paper cites Aide: A vision-driven multi- view, multi-modal, multi-tasking dataset for assistive driving perception,.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior Aide: A vision-driven multi- view, multi-modal, multi-tasking dataset for assistive driving perception,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T14:36:58.464365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d4debd08-b450-486d-a10c-c7305910263e · outbound

This paper cites Textual explanations for self-driving vehicles,.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior Textual explanations for self-driving vehicles,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-06T14:36:58.364739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T14:36:55.775747Z digest=sha256:98bf5344bd34df16ba705cdd6040b885be5bdb78776cef9c60009e05ea4dda8f

Observation 33e18d71-395a-4d2a-886f-d54016a41e1b · outbound

This paper cites VTimeLLM: Empower LLM to Grasp Video Moments.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior VTimeLLM: Empower LLM to Grasp Video Moments

Reference 4

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no resolver link, observed 2026-08-06T14:36:55.781535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:55.781535Z digest=sha256:d55e50727c29bda97569db9adc2ebbcda99e3ab22441f16864cffa4087689b41

Observation 8533d85c-c13c-44f6-a6a4-39ec15bd3184 · outbound

This paper cites Personalized Multimodal Large Language Models: A Survey.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior Personalized Multimodal Large Language Models: A Survey

Reference 5

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no resolver link, observed 2026-08-06T14:36:55.794742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:55.794742Z digest=sha256:16618668b366be2474bb14121e980fd07dadd673eb732883a2793a592ef18ace

Observation 8f1ad2cc-cb70-4d95-a6eb-141ee985027d · outbound

This paper cites Visual Prompting in Multimodal Large Language Models: A Survey.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior Visual Prompting in Multimodal Large Language Models: A Survey

Reference 6

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no resolver link, observed 2026-08-06T14:36:55.827401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:55.827401Z digest=sha256:3bdd6d4aa87e623217d048da3e8b85235cb608ddf33ec087c0b083d05ef8dd2f

Observation c4787365-ae0f-474c-8cbe-961b343e0487 · outbound

This paper cites MVBench: A Comprehensive Multi-modal Video Understanding Benchmark.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior MVBench: A Comprehensive Multi-modal Video Understanding Benchmark

Reference 7

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no resolver link, observed 2026-08-06T14:36:55.854748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:55.854748Z digest=sha256:3b051550727c0f4eeff5afabaffd0f074cfbb2c288b5c115ca5eaefc5a35fbce

Observation e9a4e48d-f830-4ec4-9c66-389a2daac83e · outbound

This paper cites Large Language Models are Temporal and Causal Reasoners for Video Question Answering.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior Large Language Models are Temporal and Causal Reasoners for Video Question Answering

Reference 8

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unresolved
no resolver link, observed 2026-08-06T14:36:55.870612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:55.870612Z digest=sha256:8f9204c47787b19988cf3af46d4e4eab45a2e4cad22c9c72cfe55ff670453407

Observation 7ed0d69c-a6d0-4f40-ab98-b7ecddd85652 · outbound

This paper cites List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs

Reference 9

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unresolved
no resolver link, observed 2026-08-06T14:36:55.876762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:55.876762Z digest=sha256:428781e09a68e4e7a544bfcc8082d10fa96e47b0fde3d7e85428a2ab260936d3

Observation ef130ced-7f4f-4113-bc31-4a6fcac12364 · outbound

This paper cites Uncertainty-basedtrafficacci- dent anticipation with spatio-temporal relational learning,.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior Uncertainty-basedtrafficacci- dent anticipation with spatio-temporal relational learning,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T14:36:58.325664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T14:36:55.881321Z digest=sha256:01bb7e3e6f2851a39e93e6c2b31c6f8f96f84c0c2133e5be8d8930c3c50c3bd6

Observation 3d26c41d-b290-45bc-adf5-eab104e8dd3b · outbound

This paper cites CoCoT: Contrastive Chain-of-Thought Prompting for Large Multimodal Models with Multiple Image Inputs.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior CoCoT: Contrastive Chain-of-Thought Prompting for Large Multimodal Models with Multiple Image Inputs

Reference 11

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unresolved
no resolver link, observed 2026-08-06T14:36:55.887586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:55.887586Z digest=sha256:406eaf91c84dbc9058ce5175c5f5936875e0f6907178d3d97eba7ee9de5e96d5

Observation 83abeb3e-c644-4d4d-9b89-c6039d735384 · outbound

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

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior Flamingo: a visual language model for few-shot learning,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-06T14:36:58.242767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T14:36:55.894087Z digest=sha256:b6c71c21f019f65e31bf0b1aeb918d92a212c68ca80935c266a539af60a41317

Observation fe269318-fbdc-4363-bc9f-a56fdb0af2f1 · outbound

This paper cites Dipnet: Driver intention prediction for a safe takeover tran- sition in autonomous vehicles,.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior Dipnet: Driver intention prediction for a safe takeover tran- sition in autonomous vehicles,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T14:36:58.154840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T14:36:55.905508Z digest=sha256:553e2ffe43c79a4237a03bd619a8fee9f0f9f64bd7130b404eecc335c957d762

Observation a4434028-ab67-43a5-b463-4169a0b8420f · outbound

This paper cites A Study of Situational Reasoning for Traffic Understanding.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior A Study of Situational Reasoning for Traffic Understanding

Reference 14

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unresolved
no resolver link, observed 2026-08-06T14:36:55.912100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:55.912100Z digest=sha256:172d718c36645792bca534ee72f12665ce11dc36833b04354b78719c83444588

Observation 15b6000a-ee42-44e1-abb7-d43f644148b1 · outbound

This paper cites Driving through the concept gridlock: Unraveling explainability bottlenecks in automated driving,.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior Driving through the concept gridlock: Unraveling explainability bottlenecks in automated driving,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:58.074794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T14:36:55.921384Z digest=sha256:26990a6cc2b1148bb072b5e99d0baa4b0d3aefeaab0465ddcec485caadafc925

Observation 4679764f-879b-42c8-987d-87511472f05b · outbound

This paper cites Drive like a human: Rethinking autonomous driving with large language models,.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior Drive like a human: Rethinking autonomous driving with large language models,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:57.975411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T14:36:55.928730Z digest=sha256:b6e1a338263845a55df3e8266bde07cac40500183f510647844e18810fb99f37

Observation 8c7d6929-2c51-43e3-a0f6-2539c61e6cea · outbound

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

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:55.933304Z digest=sha256:6505b10da22a83340f94796d3aad0ef03e73d0e9dc8635c7bf5ca470899cba72

Observation 8613fb07-0005-4704-9f73-32bf156a3e6c · outbound

This paper cites GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction

Reference 18

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no resolver link, observed 2026-08-06T14:36:55.937698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:55.937698Z digest=sha256:eb552aa6c45516f227eba63ed025f48c205c39b9108502a196a9e98355122be5

Observation 3f118c2e-73f5-4308-af40-76a48d111734 · outbound

This paper cites A Survey on Hallucination in Large Vision-Language Models.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior A Survey on Hallucination in Large Vision-Language Models

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:55.952351Z digest=sha256:93efde2762bb788b6b626d14102e4ac2dbc32bf1679cdd41098ed28a4e2d82b5

Observation fcb440cd-b6d7-4243-b682-cb37405ab707 · outbound

This paper cites Analyzing and Mitigating Object Hallucination in Large Vision-Language Models.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:55.960546Z digest=sha256:a107cd9a9839131c59979797c703dc048bfcb42bce8ad5cd7d8360b292636c2c

Observation 85a037c4-2be4-42fd-8c3a-55410ca53cb4 · outbound

This paper cites From images to textual prompts: Zero-shot visual question answering with frozen large language models,.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior From images to textual prompts: Zero-shot visual question answering with frozen large language models,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:57.649921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T14:36:56.114747Z digest=sha256:92158f91821ca1d4e19fd130c2f0a01b47164ff1d80cc23381b18f89bccedcfc

Observation b7ae4bcf-a8d9-49f4-87ac-0f49a636f562 · outbound

This paper cites Generalizing Visual Question Answering from Synthetic to Human-Written Questions via a Chain of QA with a Large Language Model.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior Generalizing Visual Question Answering from Synthetic to Human-Written Questions via a Chain of QA with a Large Language Model

Reference 22

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local_arxiv, observed 2026-08-06T14:36:56.510796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T14:36:56.154742Z digest=sha256:9cf3e508a2124dedb2a7bc88f0ba772a40711c38f5524e638a992c9fece91e22

Observation f0989f29-a786-4879-971b-8f5e172622da · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:56.186103Z digest=sha256:3e70beb1d36775091e495dbcb744fcc6b1ccc0fa34262b4af4caf60590145e8e

Pith citing papers

Observation fcff7fb6-8d98-4e1d-ac6a-03f1dd4ed036 · inbound

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification cites this paper.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T11:22:20.275538Z digest=sha256:058994b8a26a417d5f305699b26efbb524eb62ccad0b0d2ce32cad268f51152b