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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 10 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 2026-08-10T06:31:04.303077+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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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=sha256:3c48a383b6e0e71831ae0079be65f4694761d6ede209397f81a7cf2e5276558a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:36:55.764768Z digest=sha256:44fc8536e8a1b3411836b92c29f24ee6484d28e4240fc496b15616997dc25c76

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:36:55.775747Z digest=sha256:28310f68d3aa2c8189c041d9177d68c53410a47c7799b7236aeccbf7fa1f8588

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:a285cc4717362546b03d89b595bfaf6b758b2a80d1379b4416dd825e3e0c07bc

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=sha256:23132c4ffca8ecd3af9a995dfd6f6d6e2b442d156f6954459fd7ef55290cc008

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=sha256:0f69230dce48ed80d93391339265e47c6796e9a2221166c48b645868a89bd3dc

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:c55e83d9a0b7c2857106036b9b3e24f162927c3cfac80288d5f6b74b2bca948f

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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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=sha256:2e5ce3da174abf954613fb166900a3eab172494ef2c3e54720114d40fb4dd0a7

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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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=sha256:3553c45d55c719e08474df8743a42a96dbe423b9b5276e8cd3f6ebde68487a4c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:36:55.881321Z digest=sha256:c4868831f59d6a403897b1f2f09ca3ecda853ca4d15547c9d60b1e6a91fa3829

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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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=sha256:0498ff81a87b05d04bf724ba75603365e8e1de389068fc27bb0f2a268d8e0177

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:36:55.894087Z digest=sha256:a1c4a24da25ab0bf9df0a4c94ac275b4e1cfa64b4642e7c5d2844894699b77a4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:36:55.905508Z digest=sha256:c19f24615ce2ca65b4ab505091b02ff181110d1d181d093c21e07520b58472e3

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=sha256:00b139f90f082da8637b728cee13091d43a466c24f01f5297c06568f497ec638

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:36:55.921384Z digest=sha256:0a975a94647bcacfcc6b4b870094fee5b345291230024bb6bf3839e71994c7d8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:36:55.928730Z digest=sha256:f541153ba7b39a89c615174bb788e3206b7e4feede7de642a43f12f62de25001

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:55.933304Z digest=sha256:28d888cda2d4fcd535e148e7e411f3a39813f280bd1993d1bcfaa95713dd5f69

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:ef057495687387a9b3a7b220f579d928f5a3015352a1d61575ef3991b4699444

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:55.952351Z digest=sha256:404cf433cfcb6579bef6fa08af551104132d8f061c210e5ed7d0b61521d8e995

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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no resolver link, observed 2026-08-06T14:36:55.960546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:55.960546Z digest=sha256:36e338d6e4875341f81973addf1d42a3e617c24a9c97bcf2afba25b6da21675e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:36:56.114747Z digest=sha256:8c258cd87d9240e531b20ecdcaa5cf6c647b19243041e64e71a5a800f464093a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:36:56.154742Z digest=sha256:bda0df720cf922055913b833fb13d719bcb6ff4c9f09d59f9b397f39ed90089f

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=sha256:31a6dce142d02b0923aac8c88b31cb4196fa9d14b1c94b6e081834444b9f7bc5

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T11:22:20.275538Z digest=sha256:c18f49f0d9a2a8e4ca79a939a9e4e99196ba599755917eaebe7b84e5b62efa8b