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Paper Citation Record · LEDGER

StarNet: Targeted Computation for Object Detection in Point Clouds

As of 24 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:1908.11069.

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

pith.paper-citation-record.v1
1908.11069 v3

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:32:34.946670Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T13:10:47.611999Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T13:10:47.680049Z

Reference resolution

53 of 53 outbound references displayed

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  • unresolved12
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ddf6c80-2a5a-45b1-9264-85be4de32d5d · outbound

This paper cites 1, 4, 5, 6, 7.

StarNet: Targeted Computation for Object Detection in Point Clouds 1, 4, 5, 6, 7

Reference 1

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Observation eb4edcef-d978-467e-b72e-d63e5f509882 · outbound

This paper cites ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst.

StarNet: Targeted Computation for Object Detection in Point Clouds ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst

Reference 2

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Observation 0e080efc-14fd-4c7f-b7e8-4f4740e54ac3 · outbound

This paper cites Fully-convolutional siamese networks for object tracking.

StarNet: Targeted Computation for Object Detection in Point Clouds Fully-convolutional siamese networks for object tracking

Reference 3

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Observation 5c72500f-a083-49f6-a7a2-3d32898d99ef · outbound

This paper cites End to End Learning for Self-Driving Cars.

StarNet: Targeted Computation for Object Detection in Point Clouds End to End Learning for Self-Driving Cars

Reference 4

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Observation cc95a02a-9c0c-4e02-96c6-7060e4e89b40 · outbound

This paper cites Learning to rank using gradient descent.

StarNet: Targeted Computation for Object Detection in Point Clouds Learning to rank using gradient descent

Reference 5

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Observation caefef81-e034-4dbd-9a23-708fd47a456f · outbound

This paper cites nuScenes: A multimodal dataset for autonomous driving.

StarNet: Targeted Computation for Object Detection in Point Clouds nuScenes: A multimodal dataset for autonomous driving

Reference 6

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Observation f3a3bac4-3b69-4b7b-93b8-882166da3e85 · outbound

This paper cites Learning to rank: from pairwise approach to listwise ap- proach.

StarNet: Targeted Computation for Object Detection in Point Clouds Learning to rank: from pairwise approach to listwise ap- proach

Reference 7

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Observation 2781565a-a6b8-4247-9210-2a2f8bd1d41c · outbound

This paper cites A multi-sensor fusion system for moving object detection and tracking in urban driving environments.

StarNet: Targeted Computation for Object Detection in Point Clouds A multi-sensor fusion system for moving object detection and tracking in urban driving environments

Reference 8

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Observation cfc2bd90-22ab-47ac-a1c9-90e5289bcb63 · outbound

This paper cites Learning to order things.

StarNet: Targeted Computation for Object Detection in Point Clouds Learning to order things

Reference 9

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Observation e8791e70-253f-487a-a9ac-f7f3ecc950b2 · outbound

This paper cites Fast, accu- rate detection of 100,000 object classes on a single machine.

StarNet: Targeted Computation for Object Detection in Point Clouds Fast, accu- rate detection of 100,000 object classes on a single machine

Reference 10

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Observation e99226c4-242a-42d3-8b8c-8d733d0b366a · outbound

This paper cites Detect to track and track to detect.

StarNet: Targeted Computation for Object Detection in Point Clouds Detect to track and track to detect

Reference 11

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Observation 93616981-ef51-474c-a8bc-9ca906792988 · outbound

This paper cites Object detection with discriminatively trained part-based models.

StarNet: Targeted Computation for Object Detection in Point Clouds Object detection with discriminatively trained part-based models

Reference 12

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Observation 1b49ff7e-51ac-4e82-b609-ca061547a556 · outbound

This paper cites Vision meets robotics: The kitti dataset.

StarNet: Targeted Computation for Object Detection in Point Clouds Vision meets robotics: The kitti dataset

Reference 13

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Observation 7ce1818b-b645-4a07-9bd2-08b6edacbdce · outbound

This paper cites Fast r-cnn.

StarNet: Targeted Computation for Object Detection in Point Clouds Fast r-cnn

Reference 14

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Observation d01b53c0-2a91-4a02-96e6-0442bc9cf26d · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation.

StarNet: Targeted Computation for Object Detection in Point Clouds Rich feature hierarchies for accurate object detection and semantic segmentation

Reference 15

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Source-reported events for the cited work

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Observation ad436e0f-9b9e-4a74-b9e8-f5865bc30ffa · outbound

This paper cites Re 3: Real-time recurrent regression networks for visual tracking of generic objects.

StarNet: Targeted Computation for Object Detection in Point Clouds Re 3: Real-time recurrent regression networks for visual tracking of generic objects

Reference 16

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Observation f391d3d6-059f-4a13-9baf-ef40b80ac775 · outbound

This paper cites Learn- ing to track at 100 fps with deep regression networks.

StarNet: Targeted Computation for Object Detection in Point Clouds Learn- ing to track at 100 fps with deep regression networks

Reference 17

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Source-reported events for the cited work

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Observation 543b62f7-c981-4c99-aedd-f9f2740c8166 · outbound

This paper cites Speed/accuracy trade-offs for modern convolutional object detectors.

StarNet: Targeted Computation for Object Detection in Point Clouds Speed/accuracy trade-offs for modern convolutional object detectors

Reference 18

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Observation af947a9c-9d36-4449-85d4-27896085bc6a · outbound

This paper cites Parallel scheduling for cyber- physical systems: Analysis and case study on a self-driving car.

StarNet: Targeted Computation for Object Detection in Point Clouds Parallel scheduling for cyber- physical systems: Analysis and case study on a self-driving car

Reference 19

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Source-reported events for the cited work

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Observation ea6c7d97-e952-4b0f-a10d-8295a278c5e9 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

StarNet: Targeted Computation for Object Detection in Point Clouds Adam: A Method for Stochastic Optimization

Reference 20

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Observation ca4e52f2-06ca-4bec-8db6-12e770d13c59 · outbound

This paper cites Imagenet classification with deep convolutional neural net- works.

StarNet: Targeted Computation for Object Detection in Point Clouds Imagenet classification with deep convolutional neural net- works

Reference 21

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Observation ccb73c2f-82e7-47e8-9f64-cec6c1600bb1 · outbound

This paper cites PointPillars: Fast Encoders for Object Detection from Point Clouds.

StarNet: Targeted Computation for Object Detection in Point Clouds PointPillars: Fast Encoders for Object Detection from Point Clouds

Reference 22

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Observation 45b77fc9-f743-4799-ae4f-02c514b63835 · outbound

This paper cites Cornernet: Detecting objects as paired keypoints.

StarNet: Targeted Computation for Object Detection in Point Clouds Cornernet: Detecting objects as paired keypoints

Reference 23

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Observation 173b0f6e-26c4-4208-8478-37ff34d8e600 · outbound

This paper cites Deep learning.

StarNet: Targeted Computation for Object Detection in Point Clouds Deep learning

Reference 24

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Source-reported events for the cited work

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Observation b8569480-6f12-4592-ab23-04c4194c8ac2 · outbound

This paper cites Feature pyramid networks for object detection.

StarNet: Targeted Computation for Object Detection in Point Clouds Feature pyramid networks for object detection

Reference 25

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Observation a64078d9-c985-4456-8e2d-f263e89b730b · outbound

This paper cites Focal loss for dense object detection.

StarNet: Targeted Computation for Object Detection in Point Clouds Focal loss for dense object detection

Reference 26

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Observation 77a91353-5ab1-410b-8657-8e7a9d232f33 · outbound

This paper cites Ssd: Single shot multibox detector.

StarNet: Targeted Computation for Object Detection in Point Clouds Ssd: Single shot multibox detector

Reference 27

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Observation 06262931-a8ef-4105-8651-23baaad594a0 · outbound

This paper cites Fast and furious: Real time end-to-end 3d detection, tracking and motion fore- casting with a single convolutional net.

StarNet: Targeted Computation for Object Detection in Point Clouds Fast and furious: Real time end-to-end 3d detection, tracking and motion fore- casting with a single convolutional net

Reference 28

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Observation 02139cb1-89ba-493c-bdee-3174659ed8b3 · outbound

This paper cites Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi- Gonzalez, and Carl K.

StarNet: Targeted Computation for Object Detection in Point Clouds Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi- Gonzalez, and Carl K

Reference 29

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Source-reported events for the cited work

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Observation 41f43b20-6298-4a5b-8e7e-66f8d69a16dc · outbound

This paper cites Multi-task multi-sensor fusion for 3d object detec- tion.

StarNet: Targeted Computation for Object Detection in Point Clouds Multi-task multi-sensor fusion for 3d object detec- tion

Reference 30

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Observation 60a3feb8-b071-453d-846d-046d423ee154 · outbound

This paper cites Frustum pointnets for 3d object detection from rgb- d data.

StarNet: Targeted Computation for Object Detection in Point Clouds Frustum pointnets for 3d object detection from rgb- d data

Reference 31

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Source-reported events for the cited work

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Observation 1ff8921a-015f-4052-8b76-3ed1c5bf8177 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

StarNet: Targeted Computation for Object Detection in Point Clouds Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 32

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Source-reported events for the cited work

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Observation 208ae18c-5ad1-4f3a-a93c-55024333d3ac · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.

StarNet: Targeted Computation for Object Detection in Point Clouds Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 33

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Source-reported events for the cited work

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Observation 8d244319-96af-4195-ae66-fb7de54064a7 · outbound

This paper cites You only look once: Unified, real-time object de- tection.

StarNet: Targeted Computation for Object Detection in Point Clouds You only look once: Unified, real-time object de- tection

Reference 34

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Source-reported events for the cited work

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Observation cb7b0ac6-ba83-4651-ba15-8d3988894da2 · outbound

This paper cites Faster R-CNN: Towards real-time object detection with re- gion proposal networks.

StarNet: Targeted Computation for Object Detection in Point Clouds Faster R-CNN: Towards real-time object detection with re- gion proposal networks

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 50bdb132-2d32-4551-ad1d-3d4b15814c99 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

StarNet: Targeted Computation for Object Detection in Point Clouds Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 36

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ddf2a147-2174-4b69-8ccd-c38ec04a1416 · outbound

This paper cites Pedestrian detection with unsupervised multi-stage feature learning.

StarNet: Targeted Computation for Object Detection in Point Clouds Pedestrian detection with unsupervised multi-stage feature learning

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 57368cbb-1f10-49bd-9ea6-5531843a6d78 · outbound

This paper cites PointR- CNN: 3d object proposal generation and detection from point cloud.

StarNet: Targeted Computation for Object Detection in Point Clouds PointR- CNN: 3d object proposal generation and detection from point cloud

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:32:35.204322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2088d67c-08be-4f24-95ec-f741c1f102cf · outbound

This paper cites Stan- ley: The robot that won the darpa grand challenge.

StarNet: Targeted Computation for Object Detection in Point Clouds Stan- ley: The robot that won the darpa grand challenge

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:32:35.193819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T10:32:34.898937Z digest=sha256:ee091b8db9c115d8ee5120705dd098111d01860736f1e9336cb61b2a36314076

Observation 94835feb-491e-461a-b29d-8ad367229f11 · outbound

This paper cites Selective search for ob- ject recognition.

StarNet: Targeted Computation for Object Detection in Point Clouds Selective search for ob- ject recognition

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:32:35.182939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f3d1e867-d707-42c2-9e51-42ae0ce19e50 · outbound

This paper cites Deep parametric continu- ous convolutional neural networks.

StarNet: Targeted Computation for Object Detection in Point Clouds Deep parametric continu- ous convolutional neural networks

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:32:35.172584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f366c65c-cc2d-4dae-a74e-9d3abcb8649f · outbound

This paper cites PointConv: Deep Convolutional Networks on 3D Point Clouds.

StarNet: Targeted Computation for Object Detection in Point Clouds PointConv: Deep Convolutional Networks on 3D Point Clouds

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-14T10:32:34.910029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:32:34.910029Z digest=sha256:c6631f452c3d19e3b3c63522fc345b7a54bc9e421c712b9d80d32813144a83c1

Observation c6e3e289-1647-4b4d-97be-4ffedbb0ce26 · outbound

This paper cites At- tentional ShapeContextNet for point cloud recognition.

StarNet: Targeted Computation for Object Detection in Point Clouds At- tentional ShapeContextNet for point cloud recognition

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:32:35.163595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3c11ea17-1c56-40b9-a9a7-facb80bf8354 · outbound

This paper cites How Powerful are Graph Neural Networks?.

StarNet: Targeted Computation for Object Detection in Point Clouds How Powerful are Graph Neural Networks?

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-14T10:32:34.917064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:32:34.917064Z digest=sha256:4a44bde984915e1bcf316018ca56417d199077a92d4e684cc8cf721858f1ef75

Observation a29ff33b-34f3-4dbf-8021-fe0d103e2b79 · outbound

This paper cites Second: Sparsely embed- ded convolutional detection.

StarNet: Targeted Computation for Object Detection in Point Clouds Second: Sparsely embed- ded convolutional detection

Reference 45

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T10:32:34.920504Z digest=sha256:d87a18563d99a98b59d568944ac4721dd9f73fe84015a60f07bac6c6f767af4d

Observation d01ee2f4-669d-4bb2-86da-2203255f86ee · outbound

This paper cites Hdnet: Ex- ploiting HD maps for 3d object detection.

StarNet: Targeted Computation for Object Detection in Point Clouds Hdnet: Ex- ploiting HD maps for 3d object detection

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:32:35.143876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T10:32:34.923513Z digest=sha256:76eb79d381b22166d057c60cf45edc152f4d13cadb36bea379d8a959ac7497f4

Observation 6851571d-61c1-4d35-8091-1f983a774f04 · outbound

This paper cites Pixor: Real- time 3d object detection from point clouds.

StarNet: Targeted Computation for Object Detection in Point Clouds Pixor: Real- time 3d object detection from point clouds

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:32:35.133450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T10:32:34.926686Z digest=sha256:a320dd96ea9a5366427d374fc09eda4318341f9a032d06cd6520668eb11ec43a

Observation 82edc410-6b3e-4f1b-8de8-ead51b5da05c · outbound

This paper cites IPOD: Intensive Point-based Object Detector for Point Cloud.

StarNet: Targeted Computation for Object Detection in Point Clouds IPOD: Intensive Point-based Object Detector for Point Cloud

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-14T10:32:34.930353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:32:34.930353Z digest=sha256:d3a020e422d1a9b34ac7163987ba643915f8aff0055ae2557cf1173bcbdd1c39

Observation fb7c2a50-224f-4c23-b0fa-f6ea6da02e0d · outbound

This paper cites Deep sets.

StarNet: Targeted Computation for Object Detection in Point Clouds Deep sets

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:32:35.122551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T10:32:34.933722Z digest=sha256:ccabdefbf5ce6c0a44beeb9e8b16062b4e4e9acb59838f56311ed7d19a04bfcc

Observation c24febff-2fcd-4e43-9441-d061aa8eb135 · outbound

This paper cites End-to-end inter- pretable neural motion planner.

StarNet: Targeted Computation for Object Detection in Point Clouds End-to-end inter- pretable neural motion planner

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:32:35.112107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T10:32:34.936749Z digest=sha256:d6bdac40b9bf1bb843128197f8dea91cb0cad4d514381a50527a24fb476d96e9

Observation a9896c5a-6ee3-4904-a5ac-77e7e82e3aa5 · outbound

This paper cites Bottom-up Object Detection by Grouping Extreme and Center Points.

StarNet: Targeted Computation for Object Detection in Point Clouds Bottom-up Object Detection by Grouping Extreme and Center Points

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-14T10:32:34.982909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T10:32:34.939814Z digest=sha256:f83d2845364ca654e1e412f51a2c2b836b272c37f4362e766dbfa53bc346efec

Observation 64f1dc02-3011-4a42-af19-3661364dede6 · outbound

This paper cites End-to-end multi-view fusion for 3d object detec- tion in lidar point clouds.

StarNet: Targeted Computation for Object Detection in Point Clouds End-to-end multi-view fusion for 3d object detec- tion in lidar point clouds

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:32:35.101759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T10:32:34.943698Z digest=sha256:7414d47b138ecdab262419592c81c4bd8f4541f99d86d23d107966f4c7429e5a

Observation 2430b464-9adf-496b-8079-37c57f8f0d4b · outbound

This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection.

StarNet: Targeted Computation for Object Detection in Point Clouds V oxelnet: End-to-end learning for point cloud based 3d object detection

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:32:35.089287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T10:32:34.946670Z digest=sha256:852cbc1cba519747cf533be30272661f62e01e3ca7c1079d47f56fac084dfd48

Pith citing papers

Observation 160a6639-9842-4d01-b1f9-d901f806fb25 · inbound

nuScenes: A multimodal dataset for autonomous driving cites this paper.

nuScenes: A multimodal dataset for autonomous driving StarNet: Targeted Computation for Object Detection in Point Clouds

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-17T13:10:47.686219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-17T13:10:47.611999Z digest=sha256:f1bb206cd2e902c1f37e57de0f3bd2929b9845a01a07303b6e05172d8a1c9fdc