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Paper Citation Record · LEDGER

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition

As of 23 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2504.19256.

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

pith.paper-citation-record.v1
2504.19256 v3

Coverage vector

measured 35 of 35 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

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Reference resolution

35 of 35 outbound references displayed

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External citation measurements

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Outbound references

Observation 6746c509-bbeb-4b27-8062-7d8c148b5565 · outbound

This paper cites Lightweight object detection algorithm for robots with improved yolov5,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Lightweight object detection algorithm for robots with improved yolov5,

Reference 1

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Observation 417e31b7-6504-4d63-ae0a-2318f2f3d72d · outbound

This paper cites V oxnet: A 3d convolutional neural net- work for real-time object recognition,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition V oxnet: A 3d convolutional neural net- work for real-time object recognition,

Reference 2

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Observation 08befce2-b574-4f68-9d21-1178eb2a6438 · outbound

This paper cites Fuzzy lightweight cnn for point cloud object clas- sification based on voxel,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Fuzzy lightweight cnn for point cloud object clas- sification based on voxel,

Reference 3

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Observation 054970a2-fec0-43b6-afe2-865a37c32db7 · outbound

This paper cites Similarity measurement and retrieval of three-dimensional voxel model based on symbolic operator,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Similarity measurement and retrieval of three-dimensional voxel model based on symbolic operator,

Reference 4

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Observation e5e8c158-886e-402d-ad66-a59beb0691f8 · outbound

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

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 5

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Observation 445bd4fe-8084-4de5-b4a7-40093416b774 · outbound

This paper cites PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis

Reference 6

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Observation 1f021e2e-cefb-4985-b1c7-d30bd62f4580 · outbound

This paper cites Masked autoencoders for point cloud self-supervised learning,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Masked autoencoders for point cloud self-supervised learning,

Reference 7

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Observation 1b62a641-1c6c-488b-92b5-157f5a119420 · outbound

This paper cites Point Cloud Mamba: Point Cloud Learning via State Space Model.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 8

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Observation 6a284161-e4ea-4780-a0a1-7ba7f04d7a34 · outbound

This paper cites Multi-view saliency guided deep neural network for 3-d object retrieval and classification,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Multi-view saliency guided deep neural network for 3-d object retrieval and classification,

Reference 9

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Observation 6e6bb3fb-98ab-4765-9ee9-c0f2bae50245 · outbound

This paper cites Review of multi-view 3d object recognition methods based on deep learning,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Review of multi-view 3d object recognition methods based on deep learning,

Reference 10

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Observation e1b85963-03c1-404e-9b55-8ec0d613af03 · outbound

This paper cites Simultaneous multi-view object recognition and grasping in open-ended domains,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Simultaneous multi-view object recognition and grasping in open-ended domains,

Reference 11

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Observation 0a4d6de0-2d5e-48d7-9767-bcee576d91ea · outbound

This paper cites Selective multi- view deep model for 3d object classification,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Selective multi- view deep model for 3d object classification,

Reference 12

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Observation 60bca35e-c43f-4532-a418-f66f2866aca6 · outbound

This paper cites Ovpt: Optimal viewset pooling transformer for 3d object recognition,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Ovpt: Optimal viewset pooling transformer for 3d object recognition,

Reference 13

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Observation 16c976e4-e2ff-4945-ae12-462e28223386 · outbound

This paper cites MVT: multi-view vision transformer for 3d object recognition,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition MVT: multi-view vision transformer for 3d object recognition,

Reference 14

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Observation 777ad4c9-b49f-4009-9f30-b48055b3736e · outbound

This paper cites Early or late fusion matters: Efficient rgb- d fusion in vision transformers for 3d object recognition,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Early or late fusion matters: Efficient rgb- d fusion in vision transformers for 3d object recognition,

Reference 15

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Observation 6869a8f4-3452-46c1-b5a5-7a5141ba1bc4 · outbound

This paper cites Multi-view attention-convolution pooling network for 3d point cloud classification,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Multi-view attention-convolution pooling network for 3d point cloud classification,

Reference 16

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Observation fb5cf8df-6687-4cd2-bee1-43ff0d3f5acd · outbound

This paper cites Learning to select views for efficient multi-view understanding,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Learning to select views for efficient multi-view understanding,

Reference 17

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Observation ed4f4cc4-a6f2-49f8-b022-953dc5099cf9 · outbound

This paper cites Do vision transformers see like convolutional neural networks?.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Do vision transformers see like convolutional neural networks?

Reference 18

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Observation 3b3b0d0a-708b-4bed-bbed-697ce307a64b · outbound

This paper cites Antipodal robotic grasping using generative residual convolutional neural network,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Antipodal robotic grasping using generative residual convolutional neural network,

Reference 19

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Observation a12ef3c0-aa6f-425a-aa2a-361d988442c5 · outbound

This paper cites Mvsalnet: Multi-view augmentation for rgb-d salient object detection,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Mvsalnet: Multi-view augmentation for rgb-d salient object detection,

Reference 20

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Observation 037124ad-449e-4698-b110-0159bbb33e4c · outbound

This paper cites Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition

Reference 21

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Observation d94fe06a-9b6f-46cc-a76d-e2bdb11ccbd2 · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition 3d shapenets: A deep representation for volumetric shapes,

Reference 22

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Observation aca9cbc6-0af5-49ac-aab4-dec1a2f0e234 · outbound

This paper cites Omniobject3d: Large-vocabulary 3d object dataset for realistic perception, reconstruction and generation,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Omniobject3d: Large-vocabulary 3d object dataset for realistic perception, reconstruction and generation,

Reference 23

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Observation 591d03e6-b9d9-4774-a079-1bd69d129f44 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 24

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Observation 4c505e66-7214-4366-bbb7-f04704cf362a · outbound

This paper cites Point Convolutional Neural Networks by Extension Operators.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Point Convolutional Neural Networks by Extension Operators

Reference 25

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Observation a7451ed1-e997-437f-b1a1-24b6abf31899 · outbound

This paper cites A voxelized point clouds representation for object classification and segmentation on 3d data,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition A voxelized point clouds representation for object classification and segmentation on 3d data,

Reference 26

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Observation a8b4fd42-f1a5-45fb-a3bf-2e23e0a09d13 · outbound

This paper cites Multi- view convolutional neural networks for 3d shape recognition,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Multi- view convolutional neural networks for 3d shape recognition,

Reference 27

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Observation a8351b1b-5bd7-4bb3-b76d-fa47ea6b4040 · outbound

This paper cites Mvtn: Learn- ing multi-view transformations for 3d understanding,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Mvtn: Learn- ing multi-view transformations for 3d understanding,

Reference 28

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Observation ea85ebf8-6bfe-447d-84f4-f3890e076dfc · outbound

This paper cites Tensor multi-task learning for multi- view representation of 3d shape,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Tensor multi-task learning for multi- view representation of 3d shape,

Reference 29

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Observation 40fea9e7-e1b6-43ea-847c-4c995579b16f · outbound

This paper cites A viewpoint- guided prototype network for 3d shape classification,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition A viewpoint- guided prototype network for 3d shape classification,

Reference 30

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Observation 07ff0614-64cf-4286-a2bc-d318462b099b · outbound

This paper cites Lifelong ensemble learning based on multiple representations for few-shot object recognition,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Lifelong ensemble learning based on multiple representations for few-shot object recognition,

Reference 31

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Observation 989be2e2-34b8-4980-8ba0-b9a1ae8d18d6 · outbound

This paper cites Towards lifelong assistive robotics: A tight coupling between object perception and manipulation,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Towards lifelong assistive robotics: A tight coupling between object perception and manipulation,

Reference 32

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Observation ee4097dc-11ae-4ff3-a56e-54abe66f0d05 · outbound

This paper cites Orthographicnet: A deep transfer learning approach for 3-d object recognition in open-ended domains,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Orthographicnet: A deep transfer learning approach for 3-d object recognition in open-ended domains,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:02:37.610686Z

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=2026-08-16T06:02:37.409846Z digest=sha256:3b13fc1e915d8326cf1eed4dcf5250c3b6cd3999f58ed0fe6eef5953871d01c0

Observation c3a66f88-d921-4e86-a80a-5ea397df1b0a · outbound

This paper cites Mvgrasp: Real-time multi-view 3d object grasping in highly cluttered environments,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Mvgrasp: Real-time multi-view 3d object grasping in highly cluttered environments,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:02:37.592582Z

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=2026-08-16T06:02:37.415123Z digest=sha256:183b75118ad2c0762d4619848a1dbf10ef68346f459dfc5ddb75ec3f31e784f7

Observation 2d40c6b1-43c5-4d68-bf16-9cde88b4dcc1 · outbound

This paper cites Towards open-world grasping with large vision-language models,.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Towards open-world grasping with large vision-language models,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:02:37.574999Z

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=2026-08-16T06:02:37.419517Z digest=sha256:52c7f822bf23c6b01b0e1cc19592d77db0bdbd6d2891b988e64dcf1191883b2b

Pith citing papers

No inbound Pith citation observations are available.