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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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
  • metadata mismatch0

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:acb07b7289b21ad47c307a9f9a2823287677d2b27db20980844a62a65d0621f4

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=sha256:138f3ac12cdf270a9be6ac1d60d19c98975f8c143490389e3ba988473007397d

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=sha256:096fd970174aea21b84ec0c66fedaba04b9f8efcec794a9a203798453ba7e6b0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:17:57.103782Z digest=sha256:9bf1b6ae7335f5a40730a0430aca3b2052f64c419010af73ccfac55965f0868d

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:b9ba414e64c55232100f8b415db23c61ba16c1ee36388a3c66f03c8fedd743fa

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=sha256:70fc76b09e4955a6946e4f4a22465abfba8e28385d5fa5b096f26417996d85f3

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:17:57.433962Z digest=sha256:be1e88bc84bba6c4567dde34ac0d12a5d83c4e2f71543dabba0aef6111447eca

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:17:57.551778Z digest=sha256:2106dedec939fb24d9df53a701ace3db2ac04e8df39eac69167ac4fb53b390a2

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=sha256:309ed590c575a19465edf0edfd94adbaf69f48e208744f1e2f0522b518b71b83

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=sha256:1cd2dd67d06d47f321da3267434e2d1e581d130b702c0d3a00e3be4926355c04

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=sha256:933cdbb1ad9c8a7e6da22b4f8ed83edd5e9a7157d3118233401aedb36b90fe6a

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:de1c01e5612c754428f451562039d1c190ab6ff3774ca91c68d64ee58d2a1e01

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:b722ac54945d2a115b918514091d6be551300e2bd146e369c473584bdbb4f1b0

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=sha256:6534a24efbace2b3acbd9e1201a43122c11724c06979d73d1481aa58f5e34a5f

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=sha256:0121e8c9bfa742b1eb3fd86c0486e81c598b58ccacced99ebe613a4dd4eed7c8

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=sha256:66a56decbabf62f77d5620f95e2eabb8c2034f206350eb59e307de3b58741a7f

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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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=sha256:2f776629e607eb33f81e2a690797647a516ff670c6408a34256b42c550f35108

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:17:58.674118Z digest=sha256:e0e89a30241c13e2fcf4cb4db7f731d0ffa4623b4dae035f4330006535b94ae5

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=sha256:7e2dc152c73513a2f58726059ae8b86f31d1471554ff68e1e58f346f0500fa80

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=sha256:70b930a1aeba8b30aeaa12e05849abc22eb80a4902cc2a2dddd3a0cf75b809b0

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=sha256:2cfbca754f0177d6935ef236ad88e75a2283d8c45164c28b5889afc5ad6fcf9d

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=sha256:3dbf59d2bb27131f3db30aeaf1e0b7b8cac07213c82b4972ba79b43a8ef07447

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=sha256:6c5e449c5a4789c5f99783373b4e273d0822122ce6a94a886ed95107ceee3bbd

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:17:59.256014Z digest=sha256:67bbd9f0071c4f0aaf9049ef7a60fd7e31a1d02f15e188752576f03426d4a147

Pith citing papers

No inbound Pith citation observations are available.