Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 51 inbound Pith citation observations for arXiv:1805.04687.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:56:24.837068Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T02:04:26.297434Z
Reference resolution
0 of 0 outbound references displayed
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- unresolved0
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External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 6befba88-5e18-4888-bfe5-1ea0131e2a85 · inbound
nuScenes: A multimodal dataset for autonomous driving cites this paper.
nuScenes: A multimodal dataset for autonomous driving BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 85
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a50163a6-99f4-4cf5-8a62-f2fb48f7f867 · inbound
Deep Learning in the Automotive Industry: Recent Advances and Application Examples cites this paper.
Deep Learning in the Automotive Industry: Recent Advances and Application Examples BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T19:31:10.282243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9f36cbd5-335f-4e7e-90a7-15b2f08b1d62 · inbound
Understanding Deep Learning Techniques for Image Segmentation cites this paper.
Understanding Deep Learning Techniques for Image Segmentation BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 212
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T21:46:24.367472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fddaeb79-c8e7-471a-944c-7b73f50394c7 · inbound
How much real data do we actually need: Analyzing object detection performance using synthetic and real data cites this paper.
How much real data do we actually need: Analyzing object detection performance using synthetic and real data BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 18
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9be2ec7d-ac23-447f-b7e8-08a05ef6ac85 · inbound
Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation cites this paper.
Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T16:09:39.795610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9ee08b13-ff44-4e85-9db0-eebb4d2b85f2 · inbound
Learning Lightweight Lane Detection CNNs by Self Attention Distillation cites this paper.
Learning Lightweight Lane Detection CNNs by Self Attention Distillation BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 23
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7871869a-1d2e-434c-a106-05554c6ef83b · inbound
See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion cites this paper.
See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 18
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31aa2bae-64c7-43d8-927d-c6c721eac6d7 · inbound
A Delay Metric for Video Object Detection: What Average Precision Fails to Tell cites this paper.
A Delay Metric for Video Object Detection: What Average Precision Fails to Tell BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 36
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8002d666-dab7-428c-ab84-31ae3983c5d5 · inbound
Efficient Deep Neural Networks cites this paper.
Efficient Deep Neural Networks BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 171
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2b7709f-5b9f-49ed-b4cc-741013b9af42 · inbound
Physics-Based Rendering for Improving Robustness to Rain cites this paper.
Physics-Based Rendering for Improving Robustness to Rain BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 54
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64461c85-ccc4-4387-8504-7d6861e60a33 · inbound
Temporal Coherence for Active Learning in Videos cites this paper.
Temporal Coherence for Active Learning in Videos BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 61
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 899679a9-7cf7-4f85-997e-b9d277b32ff2 · inbound
Learning Visual Features Under Motion Invariance cites this paper.
Learning Visual Features Under Motion Invariance BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 41
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af06f98d-604b-4aa8-a194-5635d8553118 · inbound
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation cites this paper.
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:53:28.697159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6154087f-5de5-4b8a-bcfd-9de01e1ecf4e · inbound
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation cites this paper.
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 15
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d518100-fd01-4357-84bb-6f7899721f35 · inbound
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data cites this paper.
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 56
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58f3ef30-3e54-4f6c-a3df-687aaa34eb6c · inbound
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset cites this paper.
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 6
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d674412-b7c1-49b1-826c-a784eac83c05 · inbound
DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets cites this paper.
DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 3
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97a2d115-02f1-45a6-abe6-9d50ec7ebf69 · inbound
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems cites this paper.
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 120
- Resolution
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- arxiv_id, observed 2026-05-11T11:33:21.124348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0b9ac197-2e5a-402a-a3b0-7205d5f18d21 · inbound
PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions cites this paper.
PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T13:09:29.947825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation eea381e8-20b7-4871-bbe9-e8b65bfdd3ce · inbound
Street Gaussians without 3D Object Tracker cites this paper.
Street Gaussians without 3D Object Tracker BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 97
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8456593b-499d-422f-bfd5-baefcde8d87e · inbound
Doe-1: Closed-Loop Autonomous Driving with Large World Model cites this paper.
Doe-1: Closed-Loop Autonomous Driving with Large World Model BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 94
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:55:42.564657Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c152299d-08cc-45c4-adf3-a984aa36d8aa · inbound
An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras cites this paper.
An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T22:21:36.367101Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e10ee26f-2ca3-4a33-8254-edbaac6d90e2 · inbound
Unpaired Image-to-Image Translation with Content Preserving Perspective: A Review cites this paper.
Unpaired Image-to-Image Translation with Content Preserving Perspective: A Review BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 100
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e13f2903-a086-406c-b5d0-571fb4060500 · inbound
Segment Any-Quality Images with Generative Latent Space Enhancement cites this paper.
Segment Any-Quality Images with Generative Latent Space Enhancement BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T23:47:15.663582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c0e0d462-ae61-4312-9b5d-f7682968411a · inbound
VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning cites this paper.
VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T19:35:03.977830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8db18f91-434f-4f7e-b298-34db38d9f149 · inbound
Generative AI for Autonomous Driving: A Review cites this paper.
Generative AI for Autonomous Driving: A Review BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 3
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e83bbbf-eb31-4730-b34a-315f8da8bed7 · inbound
GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation cites this paper.
GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 57
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fc9b63f-a59f-4304-b29a-38d774f00f9c · inbound
EV-LayerSegNet: Self-supervised Motion Segmentation using Event Cameras cites this paper.
EV-LayerSegNet: Self-supervised Motion Segmentation using Event Cameras BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:57:25.622787Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fd39857-a545-4cd8-ba87-75a19ff074b3 · inbound
A Multi-Scale Spatial Attention-Based Zero-Shot Learning Framework for Low-Light Image Enhancement cites this paper.
A Multi-Scale Spatial Attention-Based Zero-Shot Learning Framework for Low-Light Image Enhancement BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 66
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bcdf6e7c-6fb5-42b3-b8fb-e90577d88b9e · inbound
RGC-VQA: An Exploration Database for Robotic-Generated Video Quality Assessment cites this paper.
RGC-VQA: An Exploration Database for Robotic-Generated Video Quality Assessment BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 54
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51c5798e-2515-4f26-a6b0-03b2c6e1e6fa · inbound
A Survey on Vision-Language-Action Models for Autonomous Driving cites this paper.
A Survey on Vision-Language-Action Models for Autonomous Driving BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 147
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac938ad0-26ac-48b0-bb4c-abbdf1f6b792 · inbound
Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges cites this paper.
Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 63
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab63c883-f272-43eb-8ae7-50c92ddf2197 · inbound
CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios cites this paper.
CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:31:50.870743Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11e7ef1a-1583-4170-9e1c-6f1df756af55 · inbound
BlueGlass: A Framework for Composite AI Safety cites this paper.
BlueGlass: A Framework for Composite AI Safety BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 73
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 861944af-7d99-4529-b3e9-b556bd55359f · inbound
VLOD-TTA: Test-Time Adaptation of Vision-Language Object Detectors cites this paper.
VLOD-TTA: Test-Time Adaptation of Vision-Language Object Detectors BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 32
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46ee98df-0888-4b6d-9277-496720b52f8a · 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 BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 61
- Resolution
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- arxiv_id, observed 2026-05-18T03:00:48.010985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 60b975dc-105d-48f3-a747-861711f161ee · inbound
Benchmarking Nighttime Traffic Sign Recognition with Illumination-Adaptive Detection and Semantic Attribute Reasoning cites this paper.
Benchmarking Nighttime Traffic Sign Recognition with Illumination-Adaptive Detection and Semantic Attribute Reasoning BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T20:42:05.803627Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ae1cdc22-0f9c-4f04-8846-4de67d291656 · inbound
Benchmarking Nighttime Traffic Sign Recognition with Illumination-Adaptive Detection and Semantic Attribute Reasoning cites this paper.
Benchmarking Nighttime Traffic Sign Recognition with Illumination-Adaptive Detection and Semantic Attribute Reasoning BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 52
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8ec0990-0805-41e1-bf25-fc1d7b435505 · inbound
SAM-MI: A Mask-Injected Framework for Enhancing Open-Vocabulary Semantic Segmentation with SAM cites this paper.
SAM-MI: A Mask-Injected Framework for Enhancing Open-Vocabulary Semantic Segmentation with SAM BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T20:27:24.805169Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d2b3b6f-ce32-4578-ba4e-e63e2afbcfd7 · inbound
Towards Any-Quality Image Segmentation via Generative and Adaptive Latent Space Enhancement cites this paper.
Towards Any-Quality Image Segmentation via Generative and Adaptive Latent Space Enhancement BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 92
- Resolution
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- arxiv_id, observed 2026-05-16T18:13:13.185787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5d3c23b8-bdef-48cc-ae49-57a41a6bcb08 · inbound
Image-to-Image Translation Framework Embedded with Rotation Symmetry Priors cites this paper.
Image-to-Image Translation Framework Embedded with Rotation Symmetry Priors BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:50:59.322430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ae598c9b-1c02-49ad-b674-f51de0a0ad1c · inbound
Steadily moving semi-infinite fracture in plane poroelasticity cites this paper.
Steadily moving semi-infinite fracture in plane poroelasticity BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 111
- Resolution
- verified exact
- local_arxiv, observed 2026-07-05T11:41:02.550793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9e968a3e-3db0-4f0d-9810-09f54a7dd083 · inbound
XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments cites this paper.
XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 111
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T05:51:10.315844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5bcaa6d1-2ca2-4ce6-8fa4-f2ce8b4b2797 · inbound
ParkingScenes: A Structured Dataset for End-to-End Autonomous Parking in Simulation Scenes cites this paper.
ParkingScenes: A Structured Dataset for End-to-End Autonomous Parking in Simulation Scenes BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:10:09.724803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9662295b-e21d-431a-bcdd-6cdcd0861dad · inbound
Language-Conditioned Visual Grounding with CLIP Multilingual cites this paper.
Language-Conditioned Visual Grounding with CLIP Multilingual BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:41:46.324647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d1cb8188-027a-492f-a57b-f0ce12854827 · inbound
MULTI: Disentangling Camera Lens, Sensor, View, and Domain for Novel Image Generation cites this paper.
MULTI: Disentangling Camera Lens, Sensor, View, and Domain for Novel Image Generation BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 53
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T05:32:19.244442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e47221e6-a787-4251-b152-9b1ad078e6ce · inbound
Real-Time Source-Free Object Detection cites this paper.
Real-Time Source-Free Object Detection BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 54
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T10:05:40.711412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6ddddf5d-4c47-4ad0-849e-2ccb29c11058 · inbound
Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing cites this paper.
Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T11:26:33.422369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2478226a-f199-4869-89db-3cb245bfff61 · inbound
Vision as Unified Multimodal Generation cites this paper.
Vision as Unified Multimodal Generation BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 213
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T02:04:26.298688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a6d9bc94-f873-4417-9075-97662971cae4 · inbound
DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification cites this paper.
DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T11:22:20.292606Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61e595cc-d2f2-4ae2-a18d-b04f8eebe775 · inbound
GeoRoute: Geometry-Aware Hybrid Inference for Traffic Future-Frame Prediction cites this paper.
GeoRoute: Geometry-Aware Hybrid Inference for Traffic Future-Frame Prediction BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:27:38.851617Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.