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Paper Citation Record · LEDGER

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling

As of 19 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2501.16384.

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

pith.paper-citation-record.v1
2501.16384 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:41:37.639477Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:40:59.692593Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T13:40:59.856378Z

Reference resolution

54 of 54 outbound references displayed

  • verified exact0
  • verified fuzzy39
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9861a7ed-562a-43cb-96e9-951cfce209c4 · outbound

This paper cites Learning representations and generative models for 3 D point clouds.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Learning representations and generative models for 3 D point clouds

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b44bd9a3-5a2a-44e6-a8d8-67b4224fe3f8 · outbound

This paper cites Cross-modal learning for image-guided point cloud shape completion.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Cross-modal learning for image-guided point cloud shape completion

Reference 2

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 425db6db-23bf-463a-bb50-e4f2afc22e5d · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling ShapeNet: An Information-Rich 3D Model Repository

Reference 3

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Source-reported events for the cited work

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Observation 1538f8ea-c3e1-4b82-a46a-ee0a7f8d6640 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale, 2021.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling An image is worth 16x16 words: Transformers for image recognition at scale, 2021

Reference 4

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source=arxiv_source observed=2026-08-10T14:41:37.422190Z digest=sha256:481dbe58ab9d61646a4bfaa099e0eec2a37f7645e813b9b71454716114277d70

Observation d4ba81f1-2db0-4eeb-85c0-16496b4b35cf · outbound

This paper cites an unresolved cited work.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.426681Z digest=sha256:143e3b6c53a010c9524f2f49d5121d183b2fc258781dfd7ec7db3ec4ea5d4a13

Observation 705e4146-e009-4276-9da4-0c5e7f945849 · outbound

This paper cites Block-state transformers, 2023.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Block-state transformers, 2023

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d73ce99e-9096-483a-bb36-8cd09f43c916 · outbound

This paper cites Comprehensive review of deep learning-based 3d point cloud completion processing and analysis, 2022.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Comprehensive review of deep learning-based 3d point cloud completion processing and analysis, 2022

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7ece7afd-730f-43db-bc53-f50039e0cb8a · outbound

This paper cites Hungry hungry hippos: Towards language modeling with state space models.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Hungry hungry hippos: Towards language modeling with state space models

Reference 8

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Observation 23186643-3015-4ef9-81fa-75a7f7e8ed1f · outbound

This paper cites Gatys, Alexander S.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Gatys, Alexander S

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6e707f10-0f10-4106-a264-e3e38b5f59a4 · outbound

This paper cites Vision meets robotics: The kitti dataset.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Vision meets robotics: The kitti dataset

Reference 10

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Observation 451b0d08-0bb8-4e61-82de-e1481693591c · outbound

This paper cites Generative adversarial nets.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Generative adversarial nets

Reference 11

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Observation 3eb72d1a-c3fd-4662-a70c-8af2de7f8d72 · outbound

This paper cites Kim, Bryan Russell, and Mathieu Aubry.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Kim, Bryan Russell, and Mathieu Aubry

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 619b14bb-d4f0-4d16-bbe5-a99f82f86037 · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces, 2024.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Mamba: Linear-time sequence modeling with selective state spaces, 2024

Reference 13

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Observation 73efc95a-d28c-46c7-84cb-9afb0510b9ec · outbound

This paper cites Hippo: Recurrent memory with optimal polynomial projections.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Hippo: Recurrent memory with optimal polynomial projections

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 90fa923b-17f3-46f2-bb7f-953cdd42c204 · outbound

This paper cites Efficiently modeling long sequences with structured state spaces.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Efficiently modeling long sequences with structured state spaces

Reference 15

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Observation 1c01c299-5890-43d0-a7e3-4988d2daf82f · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Combining recurrent, convolutional, and continuous-time models with linear state space layers

Reference 16

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 654be02c-6e98-49df-8df8-9f5604a9c756 · outbound

This paper cites Joint-mae: 2d-3d joint masked autoencoders for 3d point cloud pre-training.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Joint-mae: 2d-3d joint masked autoencoders for 3d point cloud pre-training

Reference 17

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c4443fa4-2546-4019-8270-0013d2d5fb11 · outbound

This paper cites Masked autoencoders are scalable vision learners.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Masked autoencoders are scalable vision learners

Reference 18

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation be4eafe1-f3b1-433f-9ee0-11605fa8d96b · outbound

This paper cites Denoising diffusion probabilistic models.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Denoising diffusion probabilistic models

Reference 19

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Observation 60d4a819-aca1-42e1-8b57-24d542bf7d59 · outbound

This paper cites Block Transformer: Global-to-Local Language Modeling for Fast Inference.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Block Transformer: Global-to-Local Language Modeling for Fast Inference

Reference 20

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Observation c151742b-16d2-466d-9720-5a564673b943 · outbound

This paper cites Arbitrary style transfer in real-time with adaptive instance normalization.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Arbitrary style transfer in real-time with adaptive instance normalization

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation adca4652-744b-434a-9166-cb748b2c4261 · outbound

This paper cites Block-recurrent transformers, 2022.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Block-recurrent transformers, 2022

Reference 22

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 79cda14d-720e-4c7a-bc5d-7949583ec5d6 · outbound

This paper cites 3dmambacomplete: Exploring structured state space model for point cloud completion, 2024.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling 3dmambacomplete: Exploring structured state space model for point cloud completion, 2024

Reference 23

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 31a03433-d4f5-4275-a38b-53cd3a4e4bff · outbound

This paper cites Pointmamba: A simple state space model for point cloud analysis.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Pointmamba: A simple state space model for point cloud analysis

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4b6228e0-1aca-4060-8696-4f0f0984d577 · outbound

This paper cites Diffusion probabilistic models for 3d point cloud generation.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Diffusion probabilistic models for 3d point cloud generation

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7dbec92f-57d0-4828-b7e5-9b308a3237c2 · outbound

This paper cites Rethinking network design and local geometry in point cloud: A simple residual mlp framework, 2022.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Rethinking network design and local geometry in point cloud: A simple residual mlp framework, 2022

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 22681634-edd9-4a64-b82b-e80feec30569 · outbound

This paper cites The illusion of state in state-space models.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling The illusion of state in state-space models

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.521591Z digest=sha256:6232fce2a5e32a0066988833e0fdc8c73c59138bdbf41c87cbe6b219ddf99826

Observation e15d8bef-62ba-4ac1-bc17-99082ada3f0e · outbound

This paper cites an unresolved cited work.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Unresolved cited work

Reference 28

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 995c91d5-7305-4708-a5f1-78ac49110547 · outbound

This paper cites Mamba-360: Survey of state space models as transformer alternative for long sequence modelling: Methods, applications, and challenges, 2024.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Mamba-360: Survey of state space models as transformer alternative for long sequence modelling: Methods, applications, and challenges, 2024

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.530066Z digest=sha256:faea64215111a2fcdd26a35e48adfbc979d5035f7a35f1f2dbc157d90a2e7c0d

Observation 1008f76d-af15-41a5-84eb-c6d4a6e4b231 · outbound

This paper cites PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8cca70a8-c2f9-4f6c-86bd-61dc3c94aab2 · outbound

This paper cites Qi, Li Yi, Hao Su, and Leonidas J.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Qi, Li Yi, Hao Su, and Leonidas J

Reference 31

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raw_fallback, observed 2026-08-10T14:41:38.044019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.538100Z digest=sha256:34144803abdd90a4c04f4e1708cf8564fddf5bb2fbed64cd759e47af06f048cf

Observation 075c00df-be58-4fea-a0dd-b7679e2c71ef · outbound

This paper cites Contrast with reconstruct: Contrastive 3d representation learning guided by generative pretraining.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Contrast with reconstruct: Contrastive 3d representation learning guided by generative pretraining

Reference 32

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raw_fallback, observed 2026-08-10T14:41:38.030314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5e1443db-36c4-4c18-8017-df4b3f1990e0 · outbound

This paper cites Deep learning for 3d point cloud enhancement: A survey.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Deep learning for 3d point cloud enhancement: A survey

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation fc176205-dfae-49a6-aeb6-5355b3af7eb9 · outbound

This paper cites an unresolved cited work.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Unresolved cited work

Reference 34

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raw_fallback, observed 2026-08-10T14:41:38.000555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.549723Z digest=sha256:f166f15c1f85074b3d8d68114bb9d02eae5ff3ef006e401f7f54dab162165a3d

Observation 720f2fed-de85-4b05-9251-516319498804 · outbound

This paper cites Tchapmi, Vineet Kosaraju, Hamid Rezatofighi, Ian Reid, and Silvio Savarese.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Tchapmi, Vineet Kosaraju, Hamid Rezatofighi, Ian Reid, and Silvio Savarese

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:37.986570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.553500Z digest=sha256:7dd5a47d1a9c022d091d96e89190f82e715b6e7c2befe0948dae58c0849a6c04

Observation 6bc6eff0-b627-4295-9799-916008caeb8e · outbound

This paper cites Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:37.973298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.558090Z digest=sha256:74c2f5272cd8456706d7500a2c724937096a05f0166433137dbc8fe61317ec03

Observation 0b2daec5-609e-42f3-8794-4d1b035a278e · outbound

This paper cites Attention Is All You Need.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Attention Is All You Need

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T14:41:37.562011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:41:37.562011Z digest=sha256:37278a4bbc3f3056208125b12cf41dc81e9edfd1c9fcac59c6fa9f80545a15f9

Observation 36188688-edd5-4c2b-9771-8d2adde7aa4b · outbound

This paper cites Sarma, Michael M.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Sarma, Michael M

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:37.959813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.566863Z digest=sha256:5b9fbbfb723e5b07b8494a04645a9822047b0481b95258b19ecb8cc715dfd6d5

Observation 044ba9f4-842b-472b-b1e2-0b5442b916b3 · outbound

This paper cites Pointramba: A hybrid transformer-mamba framework for point cloud analysis, 2024.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Pointramba: A hybrid transformer-mamba framework for point cloud analysis, 2024

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:37.946753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.570847Z digest=sha256:fac06a3dd469fa787e5bd7e0dbb87a3bd978e7b3c558ab83f28809eba00f4845

Observation 23ae6c59-81b6-4919-9ebd-3f9203d3573e · outbound

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

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling 3d shapenets: A deep representation for volumetric shapes

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T14:41:37.574889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:41:37.574889Z digest=sha256:9ef1c35db15e2cea275a1eeab5624ece8edee4335cb28900c7510654346c9214

Observation c1eecc70-d7ad-45a0-a526-f7a234f86d65 · outbound

This paper cites Snowflakenet: Point cloud completion by snowflake point deconvolution with skip-transformer.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Snowflakenet: Point cloud completion by snowflake point deconvolution with skip-transformer

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:37.924523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.578975Z digest=sha256:f9f4f8b7610d374a323fc2f0125558f71f7b559ce39eae3fbf602e32260e2e90

Observation fcb8a3b4-2c00-43d6-8149-873d2633a8a0 · outbound

This paper cites Explicitly guided information interaction network for cross-modal point cloud completion, 2024.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Explicitly guided information interaction network for cross-modal point cloud completion, 2024

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:37.910087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.583470Z digest=sha256:641c2da0ac40e7bbf67cdd7a819153adb0a1ae9dacb6c4a6fc1901629bcf989a

Observation 71731fd4-d441-4f4d-8185-aa9bfd68f938 · outbound

This paper cites Foldingnet: Point cloud auto-encoder via deep grid deformation.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Foldingnet: Point cloud auto-encoder via deep grid deformation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:37.895016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.588252Z digest=sha256:3cbb95384bf0801eaa7ddb40aafc1345bb4dd846070633377b10f0cb3bbdeb04

Observation e10cfe92-ef61-44c7-94d9-586fc182362e · outbound

This paper cites Point-bert: Pre-training 3d point cloud transformers with masked point modeling.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Point-bert: Pre-training 3d point cloud transformers with masked point modeling

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:37.879688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.593491Z digest=sha256:5163c5118291ddf7df2d13f61733a8a8ca71cd669d0028fdfe66a3b79075214b

Observation 18619f19-1a6f-4369-8d74-dce8d0e20194 · outbound

This paper cites Pcn: Point completion network.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Pcn: Point completion network

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:37.865523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.597949Z digest=sha256:adb63c9dd99815b069e0c95050848db028f3bb5cea6f004a7511925ec01b8533

Observation 8069d0ef-17d9-4ce0-92ec-331383a4f4f3 · outbound

This paper cites Attention-based transformation from latent features to point clouds.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Attention-based transformation from latent features to point clouds

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:37.852232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.602526Z digest=sha256:378a628423943aecbcf8121d4ed312544fc4187af6ce565090d5d7f1a15af5f2

Observation ae45ad5e-97a7-4882-be98-69cc894a8cc0 · outbound

This paper cites Deep-learning-based point cloud completion methods: A review.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Deep-learning-based point cloud completion methods: A review

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:37.838573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.607276Z digest=sha256:f9c31a2f1a98248f6ba5f7c2e56193e5bb12bd29e0073dacb83c56871944a334

Observation 45be0c52-2c24-4547-a251-3b46de1318ed · outbound

This paper cites Point cloud mamba: Point cloud learning via state space model, 2024.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Point cloud mamba: Point cloud learning via state space model, 2024

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:37.824777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.611988Z digest=sha256:4b10a46cab729f7cf468117d60ac6953782a836dd888cc01ab48de437dcdf496

Observation 2977b3dc-9f9d-45e5-a920-2b743e469da7 · outbound

This paper cites View-guided point cloud completion.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling View-guided point cloud completion

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:37.809416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.616636Z digest=sha256:67e46cf7de6b4b789fa1c15039f0fb19cdeec2a8dbd5c03e38237148be462707

Observation c2a03bb5-1214-4822-8067-779dba5428e4 · outbound

This paper cites A graph-cnn for 3d point cloud classification.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling A graph-cnn for 3d point cloud classification

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:37.795001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.621141Z digest=sha256:82f03003ee0b4ac9db0b7c288cee58471d631452308a43e3c22b791f2c7f936c

Observation 5561f3cf-43ec-432b-a435-b5ca94b300df · outbound

This paper cites 3dmambaipf: A state space model for iterative point cloud filtering via differentiable rendering, 2024.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling 3dmambaipf: A state space model for iterative point cloud filtering via differentiable rendering, 2024

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:37.780504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.625728Z digest=sha256:c9739a1d0d3d9440334634a4a2ca634f25b3e4ad41094f5629045bf067866c6f

Observation 7e039b3c-fae3-4014-8b8d-ef144a4922c8 · outbound

This paper cites Vision mamba: Efficient visual representation learning with bidirectional state space model.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Vision mamba: Efficient visual representation learning with bidirectional state space model

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:37.767344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.630405Z digest=sha256:3f975cbccc56145f16641153bc187e73d620eaefc10cb3436655b7228ab40552

Observation acc3ac1e-bb76-48f0-aa78-db171a4eb2fb · outbound

This paper cites Csdn: Cross-modal shape-transfer dual-refinement network for point cloud completion.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Csdn: Cross-modal shape-transfer dual-refinement network for point cloud completion

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:37.752681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.635157Z digest=sha256:671c39147793ffa4de3389a9c537713a921088667363806530662aacd3aac3b3

Observation c63f27e7-9c02-4472-9ed3-882c1beb6bce · outbound

This paper cites Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, and Leonidas Guibas.

MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, and Leonidas Guibas

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:41:37.737322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T14:41:37.639477Z digest=sha256:2f30be6568519f70905fca69fa87b09ba43566587944a4b0a19d785909d544a4

Pith citing papers

Observation fad22f8c-1f0f-407d-a562-b8863431b45a · inbound

A Survey on Mamba Architecture for Vision Applications cites this paper.

A Survey on Mamba Architecture for Vision Applications MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-08-08T13:40:59.863551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T13:40:59.692593Z digest=sha256:1872838f4f61626d9141073498f2099357a304826570dfc4e3167b9530458440