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Paper Citation Record · LEDGER

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection

As of 15 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2412.18870.

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

pith.paper-citation-record.v1
2412.18870 v3

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:27:52.179587Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

45 of 45 outbound references displayed

  • verified exact3
  • verified fuzzy32
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 45c0b2e5-6eec-4c79-8f99-94937ca572e0 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 01d86f22-a8a9-4931-bb1b-23154d3a98cc · outbound

This paper cites Lyft level 5 av dataset 2019,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Lyft level 5 av dataset 2019,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 26020e9e-4b42-4422-af5c-b25d7e6ec1af · outbound

This paper cites Suscape open dataset for autonomous driving,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Suscape open dataset for autonomous driving,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f1f6fee4-39b0-4caf-84a1-05acc6bf3acf · outbound

This paper cites Sess: Self-ensembling semi- supervised 3d object detection,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Sess: Self-ensembling semi- supervised 3d object detection,

Reference 4

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raw_fallback, observed 2026-08-11T04:27:52.749932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b4f212e5-a6b5-44e4-b31d-3c122fde5cf9 · outbound

This paper cites 3dioumatch: Leveraging iou prediction for semi-supervised 3d object detection,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection 3dioumatch: Leveraging iou prediction for semi-supervised 3d object detection,

Reference 5

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raw_fallback, observed 2026-08-11T04:27:52.736121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T04:27:52.024477Z digest=sha256:034b83a09d3e5ad9766c5f4845625c3ccc829e1f39ce6cffbcae40a030194822

Observation 3f8920a2-9f3b-4b50-9cd9-15e305ec8c0c · outbound

This paper cites DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object Detection.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object Detection

Reference 6

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local_arxiv, observed 2026-08-11T04:27:52.319434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 05d05674-5109-46de-a7bd-0990e0a1a48d · outbound

This paper cites Weakly supervised 3d object detection from lidar point cloud,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Weakly supervised 3d object detection from lidar point cloud,

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:27:52.033042Z digest=sha256:2746a78fc70649f86d796c0876d53e220121720f59899f82673e84fc0fea6da9

Observation 4ac43be8-4a22-410d-a57a-9d436b304629 · outbound

This paper cites Back to reality: Weakly-supervised 3d object detection with shape-guided label enhancement,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Back to reality: Weakly-supervised 3d object detection with shape-guided label enhancement,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 54f8ff67-b303-4eb5-8729-e12b899b7100 · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 9

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source=pdf_text observed=2026-08-11T04:27:52.040173Z digest=sha256:a5fc1e96cb0ac06f57fa696bd636c0e3e06cc5bf14075c54d9e8671637d10af4

Observation 5b06dee2-5f21-4f99-94ab-7c2b7826c9b3 · outbound

This paper cites Deep active learning for efficient training of a lidar 3d object detector,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Deep active learning for efficient training of a lidar 3d object detector,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1e46b18e-7e5f-4f07-a2aa-607f4a9d84cb · outbound

This paper cites Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:27:52.048150Z digest=sha256:771071cf06b11ac10df2320e9d73cc22c5184d75643e0fac7e19d6ff9556c3c4

Observation dc68c7e0-1c99-4553-8507-5d010582f413 · outbound

This paper cites Exploring Active 3D Object Detection from a Generalization Perspective.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Exploring Active 3D Object Detection from a Generalization Perspective

Reference 12

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source=pdf_text observed=2026-08-11T04:27:52.052384Z digest=sha256:1c22638b1a587cf811a9c3f19c7635831a5f3d800c9cd390cb113936acd1d87d

Observation 756c9e0e-fae0-45bc-a078-afcbbeaca10f · outbound

This paper cites A survey on active deep learning: from model driven to data driven,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection A survey on active deep learning: from model driven to data driven,

Reference 13

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raw_fallback, observed 2026-08-11T04:27:52.683832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8283ffbc-ef41-4b7d-aaeb-798a0f4b72ca · outbound

This paper cites Sustech points: A portable 3d point cloud interactive annotation platform system,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Sustech points: A portable 3d point cloud interactive annotation platform system,

Reference 14

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raw_fallback, observed 2026-08-11T04:27:52.671866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T04:27:52.060086Z digest=sha256:660654412370ecf4161ba8bb97b82a5c43f642bfa0d48d38cc55fb60cc378d53

Observation 7fbe109a-386b-444b-8111-76c8ea2c4e15 · outbound

This paper cites An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation

Reference 15

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local_arxiv, observed 2026-08-11T04:27:52.265044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d04bcc5b-d214-463a-8e3e-3389216f7ae3 · outbound

This paper cites Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c5c2c8af-7e43-4d45-9cf8-9db97dd69f65 · outbound

This paper cites Revisiting domain-adaptive 3d object detection by reliable, diverse and class-balanced pseudo-labeling,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Revisiting domain-adaptive 3d object detection by reliable, diverse and class-balanced pseudo-labeling,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cbc42684-3ae2-4ad7-a9bb-c0a944762ed1 · outbound

This paper cites Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving

Reference 18

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local_arxiv, observed 2026-08-11T04:27:52.236075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 417166b3-fb12-4be1-9a0a-364c1f9b0d68 · outbound

This paper cites Efficient active learning strategies for monocular 3d object detection,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Efficient active learning strategies for monocular 3d object detection,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 66ab2f91-bfa6-44f4-ac4c-763ed9b6d56c · outbound

This paper cites Towards complexity level classification of driving scenarios using environmental information,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Towards complexity level classification of driving scenarios using environmental information,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 038bce59-44cc-4817-9e41-d28c8e9be164 · outbound

This paper cites Diverse complexity measures for dataset curation in self-driving,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Diverse complexity measures for dataset curation in self-driving,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a8280c0d-13af-4e7b-832c-b4c1b0f36310 · outbound

This paper cites Uncertainty-aware learning from demonstration using mixture density networks with sampling-free variance modeling,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Uncertainty-aware learning from demonstration using mixture density networks with sampling-free variance modeling,

Reference 22

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 02061a15-c434-461a-99c9-22b62ef120a9 · outbound

This paper cites Active learn- ing for deep object detection via probabilistic modeling,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Active learn- ing for deep object detection via probabilistic modeling,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9e76d80a-7aba-44b1-92d8-d7cac05714d5 · outbound

This paper cites Active learning literature survey,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Active learning literature survey,

Reference 24

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T04:27:52.098800Z digest=sha256:75aeea82511c5f34f463cc9def5563a5e2ecfe677d8efec79e398b69d61dcffa

Observation f07b0a7e-abcc-4680-96ca-7453a7341346 · outbound

This paper cites Variational adversarial active learning,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Variational adversarial active learning,

Reference 25

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raw_fallback, observed 2026-08-11T04:27:52.563550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 04997516-b8e0-4616-b67b-c36d7a40858e · outbound

This paper cites Active learning with clustering,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Active learning with clustering,

Reference 26

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raw_fallback, observed 2026-08-11T04:27:52.550820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 824f87e0-97c2-4d3f-9f8d-fd873a5f69ef · outbound

This paper cites Traffic anomaly detection model using k-means and active learning method,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Traffic anomaly detection model using k-means and active learning method,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 465180f7-b526-4208-a0a6-78e3d5581542 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Dropout as a bayesian approximation: Representing model uncertainty in deep learning,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cc0d7bcb-cb79-44ec-8076-d44012b17011 · outbound

This paper cites A new active labeling method for deep learning,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection A new active labeling method for deep learning,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d500169f-1ad1-49bc-820e-f039d89d924c · outbound

This paper cites Multi-class active learning for image classification,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Multi-class active learning for image classification,

Reference 30

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raw_fallback, observed 2026-08-11T04:27:52.495061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 82c1b953-652d-48ef-8c84-d819fed32ec7 · outbound

This paper cites A mathematical theory of communication,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection A mathematical theory of communication,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation bf281d5d-3a74-483e-a744-efc2337fe71b · outbound

This paper cites Probability estimates for multi-class classification by pairwise coupling,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Probability estimates for multi-class classification by pairwise coupling,

Reference 32

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raw_fallback, observed 2026-08-11T04:27:52.470015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e80c0f67-00b5-4119-94a8-75644a47cbf5 · outbound

This paper cites Reading digits in natural images with unsupervised feature learning,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Reading digits in natural images with unsupervised feature learning,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 14814a6f-6fb6-434f-9950-e999de33e197 · outbound

This paper cites Localization- based active learning (local) for object detection in 3d point clouds,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Localization- based active learning (local) for object detection in 3d point clouds,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 011064eb-addb-4db0-b42a-54359567dabc · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Simple and scalable predictive uncertainty estimation using deep ensembles,

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b04eb1db-0b32-4c66-88dd-688080c928b1 · outbound

This paper cites The power of ensembles for active learning in image classification,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection The power of ensembles for active learning in image classification,

Reference 36

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b657e85b-7f3b-416d-884a-616d4cfc9a77 · outbound

This paper cites Deep similarity-based batch mode active learning with exploration- exploitation,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Deep similarity-based batch mode active learning with exploration- exploitation,

Reference 37

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 993e5cb8-1383-4b7b-9273-3de6933f9c73 · outbound

This paper cites Entropy-based active learning for object detection with progressive diversity constraint,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Entropy-based active learning for object detection with progressive diversity constraint,

Reference 38

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T04:27:52.150326Z digest=sha256:994f6955cbdd6212af1098c831d152930fed1046db218f522b38dedcb753c219

Observation 4e19ba3c-7d50-42e7-8dea-3264dba7f1b1 · outbound

This paper cites Bayesian Active Learning for Classification and Preference Learning.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Bayesian Active Learning for Classification and Preference Learning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T04:27:52.154659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b9a176d6-69a5-44d4-89ff-92b0d4f6e8b2 · outbound

This paper cites Marginalized kernels between labeled graphs,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Marginalized kernels between labeled graphs,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:27:52.385805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cc10d033-cc55-468a-a62b-067b906f9167 · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision?.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection What uncertainties do we need in bayesian deep learning for computer vision?

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:27:52.374120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c02d3b38-d03f-486f-aeba-fdd9e3bfa1a5 · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Pointpillars: Fast encoders for object detection from point clouds,

Reference 42

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation be9037f7-b2a7-4d78-bbe2-b3aef9846cd2 · outbound

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

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection nuscenes: A multimodal dataset for autonomous driving,

Reference 43

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 478b86a5-73d7-4146-855c-f7311f1b6f06 · outbound

This paper cites Openpcdet: An open-source toolbox for 3d object detection from point clouds,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Openpcdet: An open-source toolbox for 3d object detection from point clouds,

Reference 44

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unresolved
no resolver link, observed 2026-08-11T04:27:52.175344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:27:52.175344Z digest=sha256:c5be6a9bc00b15811cc710dd648cd71e1fd6f68f781e61d3c2ac3d324cff9007

Observation 955f5096-128f-4e4a-94c9-173053000c66 · outbound

This paper cites Train in germany, test in the usa: Making 3d object detectors generalize,.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Train in germany, test in the usa: Making 3d object detectors generalize,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:27:52.332129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Pith citing papers

No inbound Pith citation observations are available.