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Paper Citation Record · LEDGER

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning

As of 10 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.16938.

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

pith.paper-citation-record.v1
2607.16938 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:34:24.666268Z

measured 45 of 45 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 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

45 of 45 outbound references displayed

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  • verified fuzzy0
  • unresolved42
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  • malformed identifier2
  • metadata mismatch0

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Outbound references

Observation 8271537e-40cd-4efd-a7df-52bcec64b9a2 · outbound

This paper cites Geiger, P.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Geiger, P

Reference 1

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source=pdf_text observed=2026-08-01T19:34:20.116517Z digest=sha256:b6fd9aef165b69b91b00f869681f574671b84d2fa60c6b7a2eed6c7b26e56d76

Observation ba40a61b-b26d-4c54-a89e-932e98453e9e · outbound

This paper cites Caesar, V.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Caesar, V

Reference 2

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Observation 5f035aad-de0a-47ea-aaef-132d3126bae8 · outbound

This paper cites an unresolved cited work.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Unresolved cited work

Reference 3

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Observation cc919111-8e2b-4805-acaf-ebb25f0079a7 · outbound

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What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Unresolved cited work

Reference 4

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Observation c04578cb-7546-4966-b84a-e06fed04f49b · outbound

This paper cites an unresolved cited work.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Unresolved cited work

Reference 5

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Observation cf4b3e37-f6ba-48d0-9155-2e37426f32d4 · outbound

This paper cites an unresolved cited work.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Unresolved cited work

Reference 6

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Observation bf10c83b-bb21-44c2-a6f0-160bdc9751ed · outbound

This paper cites an unresolved cited work.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Unresolved cited work

Reference 7

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Observation 3aea71dc-0b12-45ac-84f6-35a9c5f4e64a · outbound

This paper cites an unresolved cited work.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Unresolved cited work

Reference 8

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Observation c8dfc3cc-5b2c-4179-8e15-6d3b3b704a73 · outbound

This paper cites an unresolved cited work.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Unresolved cited work

Reference 9

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source=pdf_text observed=2026-08-01T19:34:20.859924Z digest=sha256:a6bb25c651170c0b75cc50d7c7272e22287fe894911e65fc7dd6477e2a79ebf3

Observation 93aed823-989c-4808-bdbc-7a4a96ee3337 · outbound

This paper cites EMMA: End-to-end multimodal model for autonomous driving, 2024.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning EMMA: End-to-end multimodal model for autonomous driving, 2024

Reference 10

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source=pdf_text observed=2026-08-01T19:34:20.932272Z digest=sha256:d57fa189601e6971b93cf28067a2a9da17a41b84d50a52f995448912815549ff

Observation 580cd4c1-21eb-4e1f-85a4-b27c2342ed6e · outbound

This paper cites de Haan, D.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning de Haan, D

Reference 11

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Observation a87c3828-e785-42f1-8be4-a81281d80d4f · outbound

This paper cites Bansal, A.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Bansal, A

Reference 12

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Observation 3ce73b01-c684-4830-95f7-26f722ff4d7d · outbound

This paper cites Roelofs, L.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Roelofs, L

Reference 13

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Observation 2c8ebc9d-7dcf-4abf-b4c8-4e797328a6e2 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 14

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source=pdf_text observed=2026-08-01T19:34:21.329443Z digest=sha256:4c4d1895836f2a084a3b53b83b2e4ea587aece8a4ee0f1ae9f4fbe3ac098509d

Observation a5095898-fcac-4206-b1aa-da5c31dca7fd · outbound

This paper cites an unresolved cited work.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-01T19:34:21.441018Z digest=sha256:0e5ed625d032fda6d6db2519bae3084facd471a02c227eb5f1fef20c60b6d48d

Observation 34b5bd8b-85cf-42f2-b220-824aa9919b43 · outbound

This paper cites Petsiuk, A.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Petsiuk, A

Reference 16

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source=pdf_text observed=2026-08-01T19:34:21.581713Z digest=sha256:1952e00627dbc5eaf135594f1974d0305d16ca153dab34e995cc39a637676191

Observation 7914dd93-49e0-41d7-8fce-4524a094503b · outbound

This paper cites A Unified Approach to Interpreting Model Predictions.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning A Unified Approach to Interpreting Model Predictions

Reference 17

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Reference 21

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Reference 22

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source=pdf_text observed=2026-08-01T19:34:22.035060Z digest=sha256:cd89fda63696bc4b9d6e5d3e42d77ffc90a266295ea7d11f5206560d529ce98a

Observation 796b5949-d6f4-4f94-a4ac-e76414f6352d · outbound

This paper cites Resolution-robust Large Mask Inpainting with Fourier Convolutions.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Resolution-robust Large Mask Inpainting with Fourier Convolutions

Reference 23

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Observation 10a6ac54-d6a3-48c2-b28a-19a9e18acebd · outbound

This paper cites Elhage, N.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Elhage, N

Reference 26

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Observation 950219bb-1f11-455a-a0db-863dad372bf7 · outbound

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What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Unresolved cited work

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Observation 782fc07f-e3eb-4879-8bec-438701dc129b · outbound

This paper cites Bricken, A.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Bricken, A

Reference 28

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Observation 29c89ce5-9325-48e0-bc7a-0ee13266845c · outbound

This paper cites Cunningham, A.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Cunningham, A

Reference 29

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Observation 1a5c92c2-c515-4397-9f7a-efbe54832461 · outbound

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What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Unresolved cited work

Reference 30

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Observation bc1eba0f-1187-4c17-ad57-cbf30e85427c · outbound

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What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Unresolved cited work

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Reference 32

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Observation a4ec5622-ba77-4732-8bba-278433217db2 · outbound

This paper cites Alpamayo-R1: Bridging reasoning and action prediction for generalizable autonomous driving in the long tail, 2025.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Alpamayo-R1: Bridging reasoning and action prediction for generalizable autonomous driving in the long tail, 2025

Reference 33

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Observation d6fc080d-82e8-4fe9-96b2-67162d537d7e · outbound

This paper cites NVIDIA Alpamayo: Open reasoning vision-language-action models for au- tonomous vehicle development.https://developer.nvidia.com/drive/alpamayo, 2026.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning NVIDIA Alpamayo: Open reasoning vision-language-action models for au- tonomous vehicle development.https://developer.nvidia.com/drive/alpamayo, 2026

Reference 34

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Observation 31a75ac6-bbce-4512-b9f2-e00df6eb623c · outbound

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What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Unresolved cited work

Reference 35

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Observation 5938fe8d-d88d-4ccd-acbe-2a12d5633af6 · outbound

This paper cites Goldshmidt.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Goldshmidt

Reference 36

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Observation bf8d34d4-5244-45c0-b470-6d083ddf2223 · outbound

This paper cites What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation

Reference 37

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Observation 2fdeae6f-3c67-44bc-9a3c-89d0828038e5 · outbound

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What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Unresolved cited work

Reference 38

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Observation 097f57a4-d590-4fae-96ae-dbb98fe33bcf · outbound

This paper cites Jocher, A.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Jocher, A

Reference 39

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source=pdf_text observed=2026-08-01T19:34:23.940252Z digest=sha256:08deeaa3d6b5d7476900147915ef838c0e082ff2ae67b6562c04df59cd40d938

Observation f43ffaa2-5442-4263-ad94-5e530a4693b8 · outbound

This paper cites Gemini image generation and editing.https://deepmind.google/ technologies/gemini/, 2024.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Gemini image generation and editing.https://deepmind.google/ technologies/gemini/, 2024

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2dcd5c95-6234-4e35-a0a9-653a5ab8e6b2 · outbound

This paper cites an unresolved cited work.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Unresolved cited work

Reference 41

Resolution
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no resolver link, observed 2026-08-01T19:34:24.216856Z

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Reference 42

Resolution
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no resolver link, observed 2026-08-01T19:34:24.329428Z

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Observation 54089362-2ad1-4a2c-987a-061ef16fd07d · outbound

This paper cites Mechanistic interpretability for steering vision-language-action models.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Mechanistic interpretability for steering vision-language-action models

Reference 43

Resolution
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no resolver link, observed 2026-08-01T19:34:24.408268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:34:24.408268Z digest=sha256:ff53f9527f70af7a11393620a7e324e424b61b74100ce20831e90f79295f97fd

Observation ed8baad2-d30d-4130-9197-7807a523de95 · outbound

This paper cites an unresolved cited work.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Unresolved cited work

Reference 44

Resolution
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no resolver link, observed 2026-08-01T19:34:24.564693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f8c9550c-4ca6-4858-b720-ab84305064c9 · outbound

This paper cites Interpreting gpt: The logit lens.https://www.lesswrong.com/posts/ AcKRB8wDpdaN6v6ru/interpreting-gpt-the-logit-lens, 2020.

What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning Interpreting gpt: The logit lens.https://www.lesswrong.com/posts/ AcKRB8wDpdaN6v6ru/interpreting-gpt-the-logit-lens, 2020

Reference 45

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no resolver link, observed 2026-08-01T19:34:24.666268Z

Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.