Paper Citation Record · LEDGER

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:1805.04687.

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

pith.paper-citation-record.v1
1805.04687 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:26:04.012305Z

measured 0 of 1 external citation measurements

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

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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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; arxiv_id, observed 2026-05-17T13:10:47.744578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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; arxiv_id, observed 2026-05-24T20:49:54.527731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

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: metadata mismatch; 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

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; no resolver link, observed 2026-08-08T11:26:04.012305Z

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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: unresolved; no resolver link, observed 2026-08-07T15:24:00.626674Z

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: unresolved; no resolver link, observed 2026-08-07T11:17:59.471177Z

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 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: unresolved; no resolver link, observed 2026-08-06T21:35:10.196681Z

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: unresolved; no resolver link, observed 2026-08-06T21:31:04.843059Z

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; no resolver link, observed 2026-08-06T20:43:05.206991Z

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; no resolver link, observed 2026-08-06T17:46:21.976517Z

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: unresolved; no resolver link, observed 2026-08-04T13:27:41.973032Z

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: verified exact; 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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; no resolver link, observed 2026-08-03T21:02:42.808069Z

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: metadata mismatch; 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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.