Paper Citation Record · LEDGER

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts

As of 20 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2411.09062.

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

pith.paper-citation-record.v1
2411.09062 v3

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:09:36.005086Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:13:14.338719Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:19:52.486983Z

Reference resolution

35 of 35 outbound references displayed

verified exact3
verified fuzzy29
unresolved2
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e1e8d32-bb88-43fe-80a2-cb128b114e5d · outbound

This paper cites A review on AI for smart manufacturing: Deep learning challengesandsolutions.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts A review on AI for smart manufacturing: Deep learning challengesandsolutions

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.641624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 90ef5caa-7b0c-4a1f-986c-aa6a283c7f44 · outbound

This paper cites A consecutive hybrid spiking-convolutional (CHSC) neural controller for sequential decision making in robots.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts A consecutive hybrid spiking-convolutional (CHSC) neural controller for sequential decision making in robots

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.626851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 45da3655-eecf-40ca-baa5-1b352cd486d5 · outbound

This paper cites Knowl- edge Constrained Deep Clustering for Melt Pool Anomaly Detection in Laser Powder Bed Fusion.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Knowl- edge Constrained Deep Clustering for Melt Pool Anomaly Detection in Laser Powder Bed Fusion

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.610884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8d4aee90-9dd7-432d-8245-4af382bf0981 · outbound

This paper cites Deep learning for generic object detection: A survey.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Deep learning for generic object detection: A survey

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.594235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d162b77c-aa92-4a71-8ea3-f10c45fb3876 · outbound

This paper cites A Framework and Cyber-Physical System Architecture for Cloud-Based Con- struction Monitoring with Autonomous Quadrupeds.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts A Framework and Cyber-Physical System Architecture for Cloud-Based Con- struction Monitoring with Autonomous Quadrupeds

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.577662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8492d4d2-b786-4eb5-9c51-c66eea87a9ce · outbound

This paper cites Pyra- mid Learning Based Part-to-Part Consistency Analysis in Laser Powder Bed Fusion.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Pyra- mid Learning Based Part-to-Part Consistency Analysis in Laser Powder Bed Fusion

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.543622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 097050f5-ec74-4ae5-949a-a91d4ee5ecc8 · outbound

This paper cites Multi-Camera- BasedHumanActivityRecognitionforHuman–RobotCol- laborationinConstruction.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Multi-Camera- BasedHumanActivityRecognitionforHuman–RobotCol- laborationinConstruction

Reference 7

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Source-reported events for the cited work

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Observation df588cc6-edaf-4543-97e6-63230285ce62 · outbound

This paper cites Computervision-based robotic arm for object color, shape, and size detection.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Computervision-based robotic arm for object color, shape, and size detection

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.528751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4e27ecb6-e368-4063-ba1a-76fd29c4da6c · outbound

This paper cites Blind image quality prediction for object detec- tion.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Blind image quality prediction for object detec- tion

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.512690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aea8b1ed-b009-40a0-8ccc-771251b97704 · outbound

This paper cites Object detection forsmartfactoryprocessesbymachinelearning.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Object detection forsmartfactoryprocessesbymachinelearning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.496523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d937de82-5127-4a17-8fc7-048f3e8cee25 · outbound

This paper cites Making of night vision: Object detection under low-illumination.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Making of night vision: Object detection under low-illumination

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.480017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a5aee876-eb3c-49ce-b9d3-c18184af023f · outbound

This paper cites Survey and performance analysis of deep learning based object detection in challenging environ- ments.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Survey and performance analysis of deep learning based object detection in challenging environ- ments

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.462416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b5d49d9e-70fc-45ea-bcf7-618fe447157a · outbound

This paper cites Photonic Inte- grated Circuits for an Optical Phased Array.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Photonic Inte- grated Circuits for an Optical Phased Array

Reference 13

Resolution: verified exact; doi, observed 2026-08-12T21:09:36.062740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5d048ed3-b801-4e80-ad12-b5fc67f8735e · outbound

This paper cites Fast and robust multi- view 3d object recognition in point clouds.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Fast and robust multi- view 3d object recognition in point clouds

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.446016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d62e6001-b335-4b0b-a061-dec1e0fad1d3 · outbound

This paper cites Training-based ob- ject recognition in cluttered 3d point clouds.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Training-based ob- ject recognition in cluttered 3d point clouds

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.429318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ef1774ad-8737-4951-97bc-bcf6dd9aa672 · outbound

This paper cites 3D point cloud object detection with multi-view convolutional neural network.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts 3D point cloud object detection with multi-view convolutional neural network

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.414029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 289dd75f-a038-489a-aab0-05a8adaaa4f2 · outbound

This paper cites Mo- bile AR Depth Estimation: Challenges & Prospects.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Mo- bile AR Depth Estimation: Challenges & Prospects

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T21:09:35.921682Z

Source-reported events for the cited work

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Observation e742e2a0-1db3-45d8-a27c-bb937227afa6 · outbound

This paper cites Multimodaldeeplearn- ing.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Multimodaldeeplearn- ing

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.399014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1a4cefef-64f9-4732-a4a2-3c96cb320994 · outbound

This paper cites Multimodal machine learning: A survey and taxonomy.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Multimodal machine learning: A survey and taxonomy

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.384437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ca0bb614-b612-4afd-aa80-bba0287cc86d · outbound

This paper cites Deep multi-modal objectdetectionandsemanticsegmentationforautonomous driving: Datasets, methods, and challenges.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Deep multi-modal objectdetectionandsemanticsegmentationforautonomous driving: Datasets, methods, and challenges

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.368413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fbf871b5-cad8-452c-a500-23faacc11c9a · outbound

This paper cites Earlyvslatefusioninmultimodalconvolutional neuralnetworks.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Earlyvslatefusioninmultimodalconvolutional neuralnetworks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.353218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation de831c47-61a9-4739-b864-122a82c33f2c · outbound

This paper cites Multimodal con- volutional neural network for object detection using rgb-d images.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Multimodal con- volutional neural network for object detection using rgb-d images

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.337231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 24d9e224-d3ae-4865-8527-51abb3533d60 · outbound

This paper cites Automatic recognition of lactating sow pos- turesbyrefinedtwo-streamRGB-DfasterR-CNN.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Automatic recognition of lactating sow pos- turesbyrefinedtwo-streamRGB-DfasterR-CNN

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.320731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 61a56f00-bf2f-4708-96ea-69557856f610 · outbound

This paper cites Enhancing the tracking of seedling growth using RGB- Depth fusion and deep learning.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Enhancing the tracking of seedling growth using RGB- Depth fusion and deep learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.304153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7a7b8417-e767-4f73-8225-70c97988da8c · outbound

This paper cites RGB-D salient object detection: A survey.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts RGB-D salient object detection: A survey

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.288206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 55a21eb0-fdcf-4465-942d-7ca01952e699 · outbound

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

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Faster r-cnn: Towards real-time object detection with re- gion proposal networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.272509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9f0afd9e-79b2-4975-9ed5-1eb176f3a7f3 · outbound

This paper cites Camera calibration.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Camera calibration

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.254363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 216fb717-95e6-462a-a843-d6280162d69b · outbound

This paper cites LiDAR-Camera Calibration.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts LiDAR-Camera Calibration

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.236960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dd1beee7-4768-4744-a1a1-3b855d52f7a7 · outbound

This paper cites Survey on deep learning with class imbalance.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Survey on deep learning with class imbalance

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.220524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 258c478a-fc54-4cff-b0ab-d60b85cce10a · outbound

This paper cites Roboflow.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Roboflow

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.202454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3a0c9309-7a66-4e08-bfd4-b66a7d11d43e · outbound

This paper cites Deep residual learning for image recognition.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Deep residual learning for image recognition

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.185917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 07bcb165-e398-4b85-99d9-fc924a54cb33 · outbound

This paper cites The pascal visualobjectclasses(voc)challenge.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts The pascal visualobjectclasses(voc)challenge

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:09:36.169523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e6fc4882-3530-44a8-ae00-45ecdfe3d7bc · outbound

This paper cites Development of a Two-Finger Haptic Robotic Hand with Novel Stiffness De- tection and Impedance Control.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts Development of a Two-Finger Haptic Robotic Hand with Novel Stiffness De- tection and Impedance Control

Reference 33

Resolution: verified exact; doi, observed 2026-08-12T21:09:36.045576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 151656d5-b834-4ef2-9639-c62cdf322e42 · outbound

This paper cites IAARC Publications.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts IAARC Publications

Reference 250

Resolution: parse uncertain; raw_fallback, observed 2026-08-12T21:09:36.560598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b69803a5-dc84-43de-b894-647cb6e0552f · outbound

This paper cites URL https://www.sciencedirect.com/science/article/pii/ S0925231221018075.

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts URL https://www.sciencedirect.com/science/article/pii/ S0925231221018075

Reference 336

Resolution: verified exact; doi, observed 2026-08-12T21:09:36.091054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 087d9030-7426-4801-b129-7f5596de73e6 · inbound

Dual-Axis Beam-Steering OPA with purely Passive Phase Shifters cites this paper.

Dual-Axis Beam-Steering OPA with purely Passive Phase Shifters Multimodal Object Detection using Depth and Image Data for Manufacturing Parts

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T14:13:14.338719Z

Source-reported events for the cited work

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Observation 2ab34c87-976f-431c-ad59-3840057374df · inbound

Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR cites this paper.

Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR Multimodal Object Detection using Depth and Image Data for Manufacturing Parts

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:19:52.601453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.