Paper Citation Record · LEDGER

OpenLongTail: Generative Scaling of Long-Tail Driving Data

As of 6 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2607.09655.

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

pith.paper-citation-record.v1
2607.09655 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T01:26:27.220907Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

41 of 41 outbound references displayed

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verified fuzzy0
unresolved41
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External citation measurements

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Outbound references

Observation fd2ad309-a749-4067-aaca-630a4c71f3a3 · outbound

This paper cites World Simulation with Video Foundation Models for Physical AI.

OpenLongTail: Generative Scaling of Long-Tail Driving Data World Simulation with Video Foundation Models for Physical AI

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Unavailable: canonical work link unavailable.

Observation 081fccc4-eb8f-4edd-8832-320459caf658 · outbound

This paper cites NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.

OpenLongTail: Generative Scaling of Long-Tail Driving Data NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation a83146a2-bb22-4100-aeb8-4830df6e319f · outbound

This paper cites SkyReels-V2: Infinite-length Film Generative Model.

OpenLongTail: Generative Scaling of Long-Tail Driving Data SkyReels-V2: Infinite-length Film Generative Model

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation e9b75703-7804-405a-929b-fccee70419c6 · outbound

This paper cites UniMLVG: Unified Framework for Multi-view Long Video Generation with Comprehensive Control Capabilities for Autonomous Driving.

OpenLongTail: Generative Scaling of Long-Tail Driving Data UniMLVG: Unified Framework for Multi-view Long Video Generation with Comprehensive Control Capabilities for Autonomous Driving

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation eb3bc394-cbdc-40f6-b408-a5b6c07c7938 · outbound

This paper cites VERDI: VLM-Embedded Reasoning for Autonomous Driving.

OpenLongTail: Generative Scaling of Long-Tail Driving Data VERDI: VLM-Embedded Reasoning for Autonomous Driving

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 062ebffc-f4ff-4653-9158-ebe5a038e121 · outbound

This paper cites MagicDrive: Street View Generation with Diverse 3D Geometry Control.

OpenLongTail: Generative Scaling of Long-Tail Driving Data MagicDrive: Street View Generation with Diverse 3D Geometry Control

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 1f6236e9-9a0f-40eb-bb7d-012dc99cdb02 · outbound

This paper cites Steervla: Steering vision-language-action models in long-tail driving scenarios.arXiv preprint arXiv:2602.08440,.

OpenLongTail: Generative Scaling of Long-Tail Driving Data Steervla: Steering vision-language-action models in long-tail driving scenarios.arXiv preprint arXiv:2602.08440,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 51ae54e9-adb8-4f5d-bee7-62d4aa46d73b · outbound

This paper cites InfinityDrive: Breaking Time Limits in Driving World Models.

OpenLongTail: Generative Scaling of Long-Tail Driving Data InfinityDrive: Breaking Time Limits in Driving World Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 0ab2c2fc-c0ab-4709-9c4e-c095f8591f96 · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

OpenLongTail: Generative Scaling of Long-Tail Driving Data GAIA-1: A Generative World Model for Autonomous Driving

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 18800ef9-5faf-4b61-897d-cf4217d7db68 · outbound

This paper cites DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT.

OpenLongTail: Generative Scaling of Long-Tail Driving Data DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 72dc13b1-f268-403a-8f4b-f115cf2a3f16 · outbound

This paper cites ViPE: Video Pose Engine for 3D Geometric Perception.

OpenLongTail: Generative Scaling of Long-Tail Driving Data ViPE: Video Pose Engine for 3D Geometric Perception

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation a965262a-df73-42f1-af36-f3e5ef89adcc · outbound

This paper cites EMMA: End-to-End Multimodal Model for Autonomous Driving.

OpenLongTail: Generative Scaling of Long-Tail Driving Data EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 10c61e85-3e8f-4419-91f2-815fd6346359 · outbound

This paper cites DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving.

OpenLongTail: Generative Scaling of Long-Tail Driving Data DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 68b4c8e7-0c6a-41d6-82c8-84b32e655f92 · outbound

This paper cites AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning.

OpenLongTail: Generative Scaling of Long-Tail Driving Data AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 03198e66-dff7-4bad-947f-1db4ad3c8ae6 · outbound

This paper cites CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving.

OpenLongTail: Generative Scaling of Long-Tail Driving Data CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 3269420f-632c-4733-ab80-2f5bedd4a98f · outbound

This paper cites Droid-slam in the wild.arXiv preprint arXiv:2603.19076, 2026a.

OpenLongTail: Generative Scaling of Long-Tail Driving Data Droid-slam in the wild.arXiv preprint arXiv:2603.19076, 2026a

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 90da5492-276f-4af3-b526-4c02492d4b8d · outbound

This paper cites Far-drive: Frame-autoregressive video generation in closed-loop autonomous driving.arXiv preprint arXiv:2603.14938, 2026b.

OpenLongTail: Generative Scaling of Long-Tail Driving Data Far-drive: Frame-autoregressive video generation in closed-loop autonomous driving.arXiv preprint arXiv:2603.14938, 2026b

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation b9abc561-2a76-422b-ae75-2b9e445820e8 · outbound

This paper cites Seeing Beyond Views: Multi-View Driving Scene Video Generation with Holistic Attention.

OpenLongTail: Generative Scaling of Long-Tail Driving Data Seeing Beyond Views: Multi-View Driving Scene Video Generation with Holistic Attention

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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

This paper cites One Million Scenes for Autonomous Driving: ONCE Dataset.

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

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 48c9c8fb-b21b-43e8-a477-decf86a849e7 · outbound

This paper cites Nexar Dashcam Collision Prediction Dataset and Challenge.

OpenLongTail: Generative Scaling of Long-Tail Driving Data Nexar Dashcam Collision Prediction Dataset and Challenge

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

Source-reported events for the cited work

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Observation 3202504f-15be-415e-a30e-b2201fbe1895 · outbound

This paper cites Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models.

OpenLongTail: Generative Scaling of Long-Tail Driving Data Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation a6d8c909-32c5-4c26-aecd-bddb1288c6b9 · outbound

This paper cites GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving.

OpenLongTail: Generative Scaling of Long-Tail Driving Data GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 4d5dd3a4-14fe-4b33-87b0-685490bb3d3a · outbound

This paper cites LMAD: Integrated End-to-End Vision-Language Model for Explainable Autonomous Driving.

OpenLongTail: Generative Scaling of Long-Tail Driving Data LMAD: Integrated End-to-End Vision-Language Model for Explainable Autonomous Driving

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 3db044b7-6f50-44f6-8319-adeabb5178ea · outbound

This paper cites Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving.

OpenLongTail: Generative Scaling of Long-Tail Driving Data Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 18357a68-259b-44de-bff1-c7a3b8a38058 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

OpenLongTail: Generative Scaling of Long-Tail Driving Data Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 3838b972-65bf-4c4c-821b-f5b909b972b7 · outbound

This paper cites Anyview: Synthesizing any novel view in dynamic scenes.arXiv preprint arXiv:2601.16982,.

OpenLongTail: Generative Scaling of Long-Tail Driving Data Anyview: Synthesizing any novel view in dynamic scenes.arXiv preprint arXiv:2601.16982,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 5d30dd18-724a-4adf-87cd-f02e2b2dd20b · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

OpenLongTail: Generative Scaling of Long-Tail Driving Data Wan: Open and Advanced Large-Scale Video Generative Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 6d471118-a132-4b6a-9ff1-510c4cca9f9f · outbound

This paper cites Vggt: Visual geometry grounded transformer.

OpenLongTail: Generative Scaling of Long-Tail Driving Data Vggt: Visual geometry grounded transformer

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation f92c35dd-22c3-4efa-b365-00ae323d9a11 · outbound

This paper cites LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model.

OpenLongTail: Generative Scaling of Long-Tail Driving Data LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation fecd51f6-ebc9-4fa6-a3e6-48f407418b11 · outbound

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

OpenLongTail: Generative Scaling of Long-Tail Driving Data Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation f8e3d992-422f-473a-9d86-78b0928c3ba6 · outbound

This paper cites Wod-e2e: Waymo open dataset for end-to-end driving in challenging long-tail scenarios.arXiv preprint arXiv:2510.26125,.

OpenLongTail: Generative Scaling of Long-Tail Driving Data Wod-e2e: Waymo open dataset for end-to-end driving in challenging long-tail scenarios.arXiv preprint arXiv:2510.26125,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 95d0e2e3-ba9a-4486-8b16-2adfced6be11 · outbound

This paper cites VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision.

OpenLongTail: Generative Scaling of Long-Tail Driving Data VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 1e33b928-0bcf-4713-9c1f-05bad8091fb9 · outbound

This paper cites Neoverse: Enhancing 4d world model with in-the-wild monocular videos.arXiv preprint arXiv:2601.00393,.

OpenLongTail: Generative Scaling of Long-Tail Driving Data Neoverse: Enhancing 4d world model with in-the-wild monocular videos.arXiv preprint arXiv:2601.00393,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation eaea91cf-6203-4752-b73a-c76acb62fc65 · outbound

This paper cites Geniedrive: Towards physics-aware driving world model with 4d occupancy guided video generation.arXiv preprint arXiv:2512.12751,.

OpenLongTail: Generative Scaling of Long-Tail Driving Data Geniedrive: Towards physics-aware driving world model with 4d occupancy guided video generation.arXiv preprint arXiv:2512.12751,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 441c36de-0ed7-4fc4-a467-431175a2a34b · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

OpenLongTail: Generative Scaling of Long-Tail Driving Data CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 67e2abca-2805-48cb-9060-2494e7083d15 · outbound

This paper cites MyGo: Consistent and Controllable Multi-View Driving Video Generation with Camera Control.

OpenLongTail: Generative Scaling of Long-Tail Driving Data MyGo: Consistent and Controllable Multi-View Driving Video Generation with Camera Control

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation a32a24dc-e48d-4656-9858-dd80a62ac8ad · outbound

This paper cites ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis.

OpenLongTail: Generative Scaling of Long-Tail Driving Data ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation dc316261-625b-4876-903d-0fa203974d8e · outbound

This paper cites AutoDrive-R$^2$: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving.

OpenLongTail: Generative Scaling of Long-Tail Driving Data AutoDrive-R$^2$: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Observation 83b74a7d-2a2f-4308-ba05-cddb3f201cb6 · outbound

This paper cites AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning.

OpenLongTail: Generative Scaling of Long-Tail Driving Data AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Unavailable: canonical work link unavailable.

Observation f383c35b-8952-4d2a-b914-95b21616bd51 · outbound

This paper cites Most training clips are collected from PAV, which provides diverse large-scale driving logs and rich long-tail driving scenarios.

OpenLongTail: Generative Scaling of Long-Tail Driving Data Most training clips are collected from PAV, which provides diverse large-scale driving logs and rich long-tail driving scenarios

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Unavailable: canonical work link unavailable.

Observation 2d653805-a97b-492e-86de-b91796da18c3 · outbound

This paper cites an unresolved cited work.

OpenLongTail: Generative Scaling of Long-Tail Driving Data Unresolved cited work

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

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Pith citing papers

No inbound Pith citation observations are available.