Paper Citation Record · LEDGER

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation

As of 22 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 4 inbound Pith citation observations for arXiv:2412.05893.

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

pith.paper-citation-record.v1
2412.05893 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:17:47.749250Z

measured 32 of 32 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:00:17.006999Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T13:44:41.209962Z

Reference resolution

28 of 28 outbound references displayed

verified exact1
verified fuzzy19
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9e71f20a-1c88-43c6-a8a8-9e03a2307219 · outbound

This paper cites Looking-in and looking-out of a vehicle: Computer-vision-based enhanced vehicle safety,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Looking-in and looking-out of a vehicle: Computer-vision-based enhanced vehicle safety,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:17:48.357775Z

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.

Observation fb6d8cc1-0852-4ebd-a802-33df7c62b4c4 · outbound

This paper cites Causal diagrams for empirical research,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Causal diagrams for empirical research,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T20:17:47.575751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ddbe2b7-dd1a-4403-97fc-786c9586d908 · outbound

This paper cites Natsgd: A dataset with speech, gestures, and demonstrations for robot learning in natural human-robot interaction,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Natsgd: A dataset with speech, gestures, and demonstrations for robot learning in natural human-robot interaction,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:17:48.322537Z

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.

Observation f78aad19-6767-47ab-b032-07b85801418d · outbound

This paper cites Bridgedata v2: A dataset for robot learning at scale,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Bridgedata v2: A dataset for robot learning at scale,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:17:48.301779Z

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.

Observation 208a8f1f-e07a-4ad0-90d7-e47eaca658b2 · outbound

This paper cites Handmethat: Human-robot communication in physical and social environments,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Handmethat: Human-robot communication in physical and social environments,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:17:48.284101Z

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.

Observation 8dc1a5e3-1cf9-456c-8eca-f633520ddb47 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation nuscenes: A multimodal dataset for autonomous driving,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:17:48.270514Z

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.

Observation d61e66c7-747b-44df-b324-33f6732f3558 · outbound

This paper cites Nuscenes-qa: A multi-modal visual question answering benchmark for autonomous driving scenario,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Nuscenes-qa: A multi-modal visual question answering benchmark for autonomous driving scenario,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:17:48.254007Z

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.

Observation 59d2b4a1-0430-47ca-b003-98e8a1b74ac4 · outbound

This paper cites Nuscenes-mqa: Integrated evaluation of captions and qa for autonomous driving datasets using markup annotations,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Nuscenes-mqa: Integrated evaluation of captions and qa for autonomous driving datasets using markup annotations,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:17:48.234391Z

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.

Observation ceebec12-22f9-40af-8ec0-21e3f73ed6a0 · outbound

This paper cites Rank2tell: A multimodal driving dataset for joint importance ranking and reasoning,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Rank2tell: A multimodal driving dataset for joint importance ranking and reasoning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T20:17:47.631521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd143e34-8bd7-47b3-9880-d6e0b1f3046a · outbound

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

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation GPT-Driver: Learning to Drive with GPT

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T20:17:47.635458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 429f3cee-5cb9-4742-8431-45217236a94b · outbound

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

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T20:17:47.645373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5481b524-6019-46a4-b535-4d7ef531a481 · outbound

This paper cites Lmdrive: Closed-loop end-to-end driving with large language models,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Lmdrive: Closed-loop end-to-end driving with large language models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:17:48.191680Z

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.

Observation b37bea59-7248-430e-8355-eb6f817f3f88 · outbound

This paper cites Drivegpt4: Interpretable end-to-end autonomous driving via large language model,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Drivegpt4: Interpretable end-to-end autonomous driving via large language model,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T20:17:47.656424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52a0155d-f0ef-416a-9de8-6fa8a8877ad8 · outbound

This paper cites Drama: Joint risk localization and captioning in driving,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Drama: Joint risk localization and captioning in driving,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:17:48.158808Z

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.

Observation d1bbb3ac-d33f-446e-b0d5-0e99919b911c · outbound

This paper cites Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T20:17:47.666234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cae4fcc8-9365-47fe-b758-b4e48c0d7ec6 · outbound

This paper cites Autonomous vehicles that alert humans to take-over controls: Modeling with real-world data,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Autonomous vehicles that alert humans to take-over controls: Modeling with real-world data,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:17:48.146237Z

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.

Observation 4f4e354d-8cab-43c8-9952-586c624e2926 · outbound

This paper cites Safe control transitions: Machine vision based observable readiness index and data-driven takeover time prediction,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Safe control transitions: Machine vision based observable readiness index and data-driven takeover time prediction,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:17:48.127369Z

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.

Observation ae5aff59-c9ee-4da2-89a2-d44c6744c37b · outbound

This paper cites Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:17:47.834035Z

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.

Observation 87032ec4-0de6-42c4-8414-021e309234ab · outbound

This paper cites NaVILA: Legged Robot Vision-Language-Action Model for Navigation.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation NaVILA: Legged Robot Vision-Language-Action Model for Navigation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T20:17:47.689534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 121abb2c-1508-457f-b9ac-ddfc0330ce10 · outbound

This paper cites Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:17:48.111467Z

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.

Observation fa4e0cd9-0f35-4208-a9be-25385e215704 · outbound

This paper cites Towards learning a generalist model for embodied navigation,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Towards learning a generalist model for embodied navigation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:17:48.097668Z

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.

Observation 82843183-42c9-4690-9bdf-17478fa71b0a · outbound

This paper cites Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:17:48.077951Z

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.

Observation 0e9708ab-e70d-403f-bcdb-86f0366a59a4 · outbound

This paper cites Grounding language to natural human-robot interaction in robot navigation tasks,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Grounding language to natural human-robot interaction in robot navigation tasks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:17:48.048188Z

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.

Observation 75edb90a-9305-4559-97c6-2b63e08cacf6 · outbound

This paper cites Safe navigation with human instructions in complex scenes,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Safe navigation with human instructions in complex scenes,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:17:48.033064Z

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.

Observation 00a1ef50-6b58-4e04-862e-6cc1173b4d8e · outbound

This paper cites Multimodal trajectory prediction conditioned on lane-graph traversals,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Multimodal trajectory prediction conditioned on lane-graph traversals,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:17:48.020088Z

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.

Observation a50a6262-c3e0-48fc-a428-208815f64282 · outbound

This paper cites Thomas: Trajectory heatmap output with learned multi-agent sam- pling,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Thomas: Trajectory heatmap output with learned multi-agent sam- pling,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:17:48.005938Z

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.

Observation 225b3fde-5ad8-4ac8-a355-ce86e3a8ab70 · outbound

This paper cites Trajectory prediction in autonomous driving with a lane heading auxiliary loss,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Trajectory prediction in autonomous driving with a lane heading auxiliary loss,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:17:47.991795Z

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.

Observation bb20e531-d271-491c-8aea-515a6f177026 · outbound

This paper cites Spatialrgpt: Grounded spatial reasoning in vision-language models,.

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Spatialrgpt: Grounded spatial reasoning in vision-language models,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T20:17:47.749250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 605b6ada-bced-410b-ab1d-d95e1c184e27 · inbound

Automated Data Curation Using GPS & NLP to Generate Instruction-Action Pairs for Autonomous Vehicle Vision-Language Navigation Datasets cites this paper.

Automated Data Curation Using GPS & NLP to Generate Instruction-Action Pairs for Autonomous Vehicle Vision-Language Navigation Datasets doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T00:00:17.006999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eaaf0ee-dd26-492f-a0b8-1012ac20ae43 · inbound

Generative AI for Autonomous Driving: Frontiers and Opportunities cites this paper.

Generative AI for Autonomous Driving: Frontiers and Opportunities doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation

Reference 152

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:13.142459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed211282-ce36-4975-b8ce-3f8a2e67abbc · inbound

Looking and Listening Inside and Outside: Multimodal Artificial Intelligence Systems for Driver Safety Assessment and Intelligent Vehicle Decision-Making cites this paper.

Looking and Listening Inside and Outside: Multimodal Artificial Intelligence Systems for Driver Safety Assessment and Intelligent Vehicle Decision-Making doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:57:24.388765Z

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.

Observation a258f878-1f5f-43f3-b257-10773882147e · inbound

NudgeVAD: Language-Nudged End-to-End Driving via FiLM Residuals cites this paper.

NudgeVAD: Language-Nudged End-to-End Driving via FiLM Residuals doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:44:41.211418Z

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.