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Paper Citation Record · LEDGER

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving

As of 8 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2505.15564.

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

pith.paper-citation-record.v1
2505.15564 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:17:59.256014Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

25 of 25 outbound references displayed

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  • verified fuzzy5
  • unresolved20
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7e64a61a-71e6-4e4c-be3f-662eaad4cd16 · outbound

This paper cites Meteor: An automatic metric for mt evaluation with improved correlation with human judgments.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving Meteor: An automatic metric for mt evaluation with improved correlation with human judgments

Reference 1

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source=pdf_text observed=2026-08-07T15:17:56.835309Z digest=sha256:362b2a5104a442770ceb1a2b435566b210a9dd9079addaa3df54b8131ff660e1

Observation 9fcf04d0-5c10-4474-ad28-1cc727abe1e1 · outbound

This paper cites Driving with llms: Fusing object-level vector modality for explainable autonomous driving.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving Driving with llms: Fusing object-level vector modality for explainable autonomous driving

Reference 2

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source=pdf_text observed=2026-08-07T15:17:56.901743Z digest=sha256:7cfa824b75f362dfc9dfff4e3d07d3cae4f33dddb7ba8afe136183936e1736df

Observation 81a3509f-7c9f-4fdd-aaf2-f1548c93f254 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 3

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source=pdf_text observed=2026-08-07T15:17:57.011789Z digest=sha256:e70966514e487edf14e4aeacec2a498fee8dbc5a786893624436ccfe14f99be9

Observation 4d7fa30c-2bd9-4463-bbe5-4840fa556a73 · outbound

This paper cites Unireplknet: A universal perception large-kernel convnet for audio video point cloud time-series and image recognition.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving Unireplknet: A universal perception large-kernel convnet for audio video point cloud time-series and image recognition

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T15:18:00.548670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:17:57.103782Z digest=sha256:4962066ea1f0ef882128e7cfcbfb6e9695350ee71d2e66404853af2ca260859e

Observation ab96dcd8-ffb9-4d12-b42c-18ca802dfe8b · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

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source=pdf_text observed=2026-08-07T15:17:57.217357Z digest=sha256:acf38ef43ce5332f71b5ba72e2bb9cf08cd383f1ecc4f88e83f46e495c510329

Observation b2f4eb50-3c55-4160-9cd0-11feb99c8957 · outbound

This paper cites Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving

Reference 6

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source=pdf_text observed=2026-08-07T15:17:57.316187Z digest=sha256:6370eebf31707d6b6cc2c761babf81a1dc02539c54739917307c92ae1dac74a0

Observation cc0523e0-2561-4f4f-b7aa-3b56e31c720e · outbound

This paper cites World models for autonomous driving: An initial survey.IEEE Transac- tions on Intelligent Vehicles, 2024.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving World models for autonomous driving: An initial survey.IEEE Transac- tions on Intelligent Vehicles, 2024

Reference 7

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:17:57.433962Z digest=sha256:c75fef81cdcfe2b90016d78562f49e40378adb06b6602607679f7889b46111b2

Observation b2b65d36-4d46-468f-86a0-ccaf1d90e4bd · outbound

This paper cites Traffic navigation via reinforcement learning with episodic-guided prioritized experience replay.Engineering Applications of Artificial Intelligence, 137:109147, 2024.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving Traffic navigation via reinforcement learning with episodic-guided prioritized experience replay.Engineering Applications of Artificial Intelligence, 137:109147, 2024

Reference 8

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:17:57.551778Z digest=sha256:69a10963a06c4ca6d24439fc61dd8b1af27dee9e2222ab08055d0b6a563ad097

Observation b04098d7-837d-45e3-a4fc-b6e2d66c5290 · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022

Reference 9

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source=pdf_text observed=2026-08-07T15:17:57.647411Z digest=sha256:eea6525d65249cfd95718fd057a8f14f3d99e2a0c6a346eaec698e1bd930fa45

Observation adfe776a-2b93-459c-bea3-9178be04ecea · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 10

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source=pdf_text observed=2026-08-07T15:17:57.745932Z digest=sha256:35045b7762857b7c8484c4010f3a21361b3d9b6936e27263946a0109284fc122

Observation d2070f02-8942-400b-9e08-059f04560599 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving Rouge: A package for automatic evaluation of summaries

Reference 11

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source=pdf_text observed=2026-08-07T15:17:57.847632Z digest=sha256:58672b24c1ac02f2d67e426523969da459b9ae21596d4a26f440f4889b56de44

Observation 0a2f6351-13b5-45ad-b891-946d01fd4e1a · outbound

This paper cites GPT-Driver: Learning to Drive with GPT.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving GPT-Driver: Learning to Drive with GPT

Reference 12

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source=pdf_text observed=2026-08-07T15:17:57.963862Z digest=sha256:d5798ea7a8138bf9d6aee07668be00d598ee7903073dbb048df338b2b45c0ebf

Observation ec07915b-3b97-4055-9e13-3edc38e08fb6 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving Bleu: a method for automatic evaluation of machine translation

Reference 13

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source=pdf_text observed=2026-08-07T15:17:58.079631Z digest=sha256:911752fbd7a6d709109d1eaab0d9144df4d189459db23d71fccc3b926f69cc6e

Observation e5cecba8-b8b8-4b7f-ab72-1511ade3589c · outbound

This paper cites Learning transferable visual models from natural language supervision.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving Learning transferable visual models from natural language supervision

Reference 14

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source=pdf_text observed=2026-08-07T15:17:58.166227Z digest=sha256:7db0f246742cdb4d5ee20b6e44a45665fc30e11473c1718ceba8a297574384c1

Observation 854273ff-82f1-4696-8c80-7089090e3d75 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020

Reference 15

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source=pdf_text observed=2026-08-07T15:17:58.253854Z digest=sha256:d409d5606ec631bbd118a5107de94a2a674e914a90cc7deef07ffa2c5fa59459

Observation 4cf5fb0e-f5f1-4926-b229-8a9391362416 · outbound

This paper cites LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 16

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source=pdf_text observed=2026-08-07T15:17:58.371824Z digest=sha256:a5d747e71284b6f14f2e939e8ed033b482b6a11a0d180eee7032312174a537f9

Observation 8e0f5c14-2aa7-4af8-94d3-8c6fac8f143c · outbound

This paper cites Drivelm: Driving with graph visual question answering.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving Drivelm: Driving with graph visual question answering

Reference 17

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source=pdf_text observed=2026-08-07T15:17:58.471551Z digest=sha256:e13c46baba6380f1fc56b5295d7bb9d7756b6dc9eb75a12e9a4c13d6828935ae

Observation 818514c7-db8a-4eb1-8b44-4a4c8fece003 · outbound

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

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving LLaMA: Open and Efficient Foundation Language Models

Reference 18

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source=pdf_text observed=2026-08-07T15:17:58.583992Z digest=sha256:798f096ae6297d223f018112e9eb9c84b7a8b0ec87ed76d6a72a65a022ff8ef1

Observation a3677b2e-4668-492c-89d9-238c65436696 · outbound

This paper cites Labelimg.https://github.com/tzutalin/labelImg, 2015.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving Labelimg.https://github.com/tzutalin/labelImg, 2015

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:17:58.674118Z digest=sha256:80d32c325e50859b3d0440fa42d7112d5813a754f18ae43204db2c107e4d2456

Observation a7584999-7d05-4416-959c-c21d1714d41a · outbound

This paper cites Cider: Consensus-based image description evaluation.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving Cider: Consensus-based image description evaluation

Reference 20

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source=pdf_text observed=2026-08-07T15:17:58.773109Z digest=sha256:c3a8906f528509876271fa702c9d3cf5d0c02d10b9500b35a43267aeed89f665

Observation 321dd4d7-77df-4d14-b9b0-03308254573f · outbound

This paper cites Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving.arXiv preprint arXiv:2312.09245, 2023.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving.arXiv preprint arXiv:2312.09245, 2023

Reference 21

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source=pdf_text observed=2026-08-07T15:17:58.860998Z digest=sha256:d86500f2e9f0df60b83f711c4f3465e0aae228b67d850ca0e44f33ca051dda69

Observation 158be957-8fc6-47e6-b41e-b78894c8eee9 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving Chain-of-thought prompting elicits reasoning in large language models

Reference 22

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source=pdf_text observed=2026-08-07T15:17:58.960626Z digest=sha256:01b7ab2ebc384b2f2220857fc0c9422a906fb2780e66137bdf7db9db94636c5b

Observation 3b28f699-4774-45af-84c4-92122cd40474 · outbound

This paper cites Drivegpt4: Interpretable end-to-end autonomous driving via large language model.IEEE Robotics and Automation Letters, 2024.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving Drivegpt4: Interpretable end-to-end autonomous driving via large language model.IEEE Robotics and Automation Letters, 2024

Reference 23

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source=pdf_text observed=2026-08-07T15:17:59.055207Z digest=sha256:7bd105dc21a467a26a559182beea63fe5a3ca4035d02c551426416d6714bc4df

Observation 5d47526d-1234-42ab-842b-a39c6969ca53 · outbound

This paper cites MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous Driving.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous Driving

Reference 24

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source=pdf_text observed=2026-08-07T15:17:59.143731Z digest=sha256:a4be05f8723e028030473f70b6f35b7fac9531d8a9a878d6698ce86f10a6155d

Observation 55bd7cbd-df46-461e-9fdd-0238a9df4391 · outbound

This paper cites Vision language models in autonomous driving: A survey and outlook.IEEE Transactions on Intelligent Vehicles, 2024.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving Vision language models in autonomous driving: A survey and outlook.IEEE Transactions on Intelligent Vehicles, 2024

Reference 25

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raw_fallback, observed 2026-08-07T15:17:59.667823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:17:59.256014Z digest=sha256:29298130052e6fd25dcac68bcb84931cb3265172e1d6e12bf6abeb7858c68094

Pith citing papers

No inbound Pith citation observations are available.