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Paper Citation Record · LEDGER

One Million Scenes for Autonomous Driving: ONCE Dataset

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2106.11037.

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

pith.paper-citation-record.v1
2106.11037 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:18:35.114741Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

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External citation measurements

133
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e958b09c-5704-4a36-9f25-3b7c249c2ab7 · inbound

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting cites this paper.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 36

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arxiv_id, observed 2026-05-12T20:16:37.444803Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation aafbafa1-f937-4cbf-a0b3-a51350c37313 · inbound

Monocular Lane Detection Based on Deep Learning: A Survey cites this paper.

Monocular Lane Detection Based on Deep Learning: A Survey One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 47

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Observation 37755116-4654-45f9-8377-f77874d2dea0 · inbound

Generating Out-Of-Distribution Scenarios Using Language Models cites this paper.

Generating Out-Of-Distribution Scenarios Using Language Models One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 31

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source=pdf_text observed=2026-08-12T13:03:27.671266Z digest=sha256:12e1222005ab2b7c496f78dc6980e8e8642f7014c54e39bd0f15cf7bae7c7efd

Observation aa6ff910-867c-498e-a1d2-7e617f4523ef · inbound

Scene Co-pilot: Procedural Text to Video Generation with Human in the Loop cites this paper.

Scene Co-pilot: Procedural Text to Video Generation with Human in the Loop One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 44

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source=pdf_text observed=2026-08-12T11:51:36.639392Z digest=sha256:7300bc653c7bfc444e29923c089ed714271338541bdee2d5bf1247637dad9606

Observation a1a1f191-d953-4bb8-be19-875a65cfd8e7 · inbound

Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language Model cites this paper.

Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language Model One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 30

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no resolver link, observed 2026-08-12T05:37:45.367076Z

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source=pdf_text observed=2026-08-12T05:37:45.367076Z digest=sha256:ca5143b8f77123c56df537853e200be7c64f7ec59e2f000ad9f6f3fde72cbc6d

Observation f24292b6-da94-4226-a045-7ee7e4efead5 · inbound

Street Gaussians without 3D Object Tracker cites this paper.

Street Gaussians without 3D Object Tracker One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 59

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source=pdf_text observed=2026-08-11T20:40:55.696694Z digest=sha256:d93422aa983dd31088b426969dc38a05b450d43c0b04dd3d4475d0f67c23e62e

Observation 03c5f7a6-0043-4904-95ab-45681f8efa5c · inbound

DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving Scenes cites this paper.

DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving Scenes One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 18

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Observation 7712a3f6-77f8-4b60-a987-38a20a9d9658 · inbound

InternAgent: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification cites this paper.

InternAgent: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 23

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source=arxiv_source observed=2026-08-07T14:56:34.351853Z digest=sha256:dd3a91a0ef1cdbeb497554adbaa9965b1dd7567c54903072efb2e6f0584327c3

Observation 84338822-6915-4f06-a62e-10a435a88a7b · inbound

CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning cites this paper.

CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 33

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source=pdf_text observed=2026-08-07T14:37:06.969290Z digest=sha256:67e7480d17764c5e962f8a64e54e1976b8bf611631601e03966d1f5c1049b087

Observation 447b81ea-297f-46b0-8ad5-e9b15d98b325 · inbound

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects cites this paper.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 142

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Observation 17599165-8bfc-4758-ba10-4530ffde06c2 · inbound

LiDARDustX: A LiDAR Dataset for Dusty Unstructured Road Environments cites this paper.

LiDARDustX: A LiDAR Dataset for Dusty Unstructured Road Environments One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 7

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source=pdf_text observed=2026-08-07T13:23:41.104120Z digest=sha256:656d85d95b65364825e32f401f8e4a25b7bbb3f8801f72c49269b0e9f2cf571b

Observation 8f331ab6-1af1-49d9-bd5a-9f09b1801d9a · inbound

Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models cites this paper.

Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 42

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source=pdf_text observed=2026-08-07T12:43:56.359232Z digest=sha256:835532c80b13fa17b028d26db7192488edb1b9eddaa05fbe72632b42ac7fe78c

Observation cd894cb1-9e0e-4d33-970b-59581359d761 · inbound

ToosiCubix: Monocular 3D Cuboid Labeling via Vehicle Part Annotations cites this paper.

ToosiCubix: Monocular 3D Cuboid Labeling via Vehicle Part Annotations One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 16

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no resolver link, observed 2026-08-06T22:33:48.904353Z

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source=pdf_text observed=2026-08-06T22:33:48.904353Z digest=sha256:fbcb5e21b075cbefc024bae35e674959c888c3cc7161a524b4fb13255842d4c5

Observation 5993d34d-72fe-4a75-b330-a5c1350a57a4 · inbound

B4DL: A Benchmark for 4D LiDAR LLM in Spatio-Temporal Understanding cites this paper.

B4DL: A Benchmark for 4D LiDAR LLM in Spatio-Temporal Understanding One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 20

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arxiv_id, observed 2026-05-19T00:11:55.978481Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 9269fa41-8a1d-4c68-8a65-128869a6fbfa · inbound

Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey cites this paper.

Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 245

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Observation d853e3f2-dbc4-4f46-be0a-d146b4f3bb4b · inbound

High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception cites this paper.

High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:21:15.340751Z digest=sha256:13acb110091381bcf242c0db18ec4fa239285e899afb3a347d2975b69cdf01a5

Observation 32aea931-ddc0-4e38-a5dd-a3129ffa70bc · inbound

All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles cites this paper.

All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 48

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arxiv_id, observed 2026-05-18T03:00:47.991252Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation af611228-6e51-4984-914d-beb3b34af6eb · inbound

Semantic Router: On the Feasibility of Hijacking MLLMs via a Single Adversarial Perturbation cites this paper.

Semantic Router: On the Feasibility of Hijacking MLLMs via a Single Adversarial Perturbation One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 13

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Observation 442944bd-ae03-4f15-85d7-70b5a8c47ea2 · inbound

An interactive enhanced driving dataset for autonomous driving cites this paper.

An interactive enhanced driving dataset for autonomous driving One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 20

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Observation f6a6939c-90b3-433e-a13c-8f66711b44cb · inbound

A global dataset of continuous urban dashcam driving cites this paper.

A global dataset of continuous urban dashcam driving One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 44

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arxiv_id, observed 2026-05-13T22:33:21.589918Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f311b1f2-3ee7-4811-86ea-11713b77f964 · inbound

Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation cites this paper.

Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 82

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arxiv_id, observed 2026-05-10T06:11:20.717996Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b47adb1f-d950-4cc1-928a-956fd29128e1 · inbound

Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation cites this paper.

Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 82

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arxiv_id, observed 2026-05-12T08:36:25.931211Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 2697e06a-c2d1-4733-9aed-6e985bfc3542 · inbound

CARD: A Multi-Modal Automotive Dataset for Dense 3D Reconstruction in Challenging Road Topography cites this paper.

CARD: A Multi-Modal Automotive Dataset for Dense 3D Reconstruction in Challenging Road Topography One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 30

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arxiv_id, observed 2026-05-09T06:40:42.767100Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ab7847bc-89a2-4b38-a0b2-2db94ef7fc59 · inbound

Bench2Drive-Robust: Benchmarking Closed-Loop Autonomous Driving under Deployment Perturbations cites this paper.

Bench2Drive-Robust: Benchmarking Closed-Loop Autonomous Driving under Deployment Perturbations One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 63

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arxiv_id, observed 2026-05-20T10:13:11.852079Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 9d378495-0532-4988-9db6-8f207c6be088 · inbound

OmniSpace: Efficient Geometry Awareness for Autonomous Vehicles MLLMs cites this paper.

OmniSpace: Efficient Geometry Awareness for Autonomous Vehicles MLLMs One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 39

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arxiv_id, observed 2026-07-04T08:49:42.193430Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T10:58:41.305619Z digest=sha256:e16933ea14035a9ff87d07f3a6240b26b7eaf6dc7419fd0e9113477c91a2aefb

Observation 36b27786-4e62-412b-a829-2fdb7f348145 · inbound

OpenLongTail: Generative Scaling of Long-Tail Driving Data cites this paper.

OpenLongTail: Generative Scaling of Long-Tail Driving Data One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 19

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source=pdf_text observed=2026-07-13T01:26:27.220907Z digest=sha256:5b0ceb8054954c157edbcbec1a6c19f7cf5a9d988bef976852d0514d29f58934

Observation ce72f37e-dea2-4658-b7a5-3c98c244fb24 · inbound

Orbis 2: A Hierarchical World Model for Driving cites this paper.

Orbis 2: A Hierarchical World Model for Driving One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 34

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