Paper Citation Record · LEDGER

Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2202.07123.

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

pith.paper-citation-record.v1
2202.07123 v2

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measured 0 of 0 reference resolution

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measured 33 of 33 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:11:50.635318Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:00:07.697178Z

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External citation measurements

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Outbound references

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Pith citing papers

Observation 3c5cf5fb-d11b-45cc-ad0d-8acd914dd8b0 · inbound

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention cites this paper.

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 247

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:07:42.659237Z

Source-reported events for the cited work

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Observation 4d58be48-95c4-4c08-9d27-b5e5ae828988 · inbound

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net cites this paper.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 3

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Observation 4a1836a8-9e89-47a7-8090-23b3fe5ba22f · inbound

Point Cloud Understanding via Attention-Driven Contrastive Learning cites this paper.

Point Cloud Understanding via Attention-Driven Contrastive Learning Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T15:02:29.409969Z

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Observation ac5593c4-2bd6-4776-850f-5067ae867945 · inbound

Point-GN: A Non-Parametric Network Using Gaussian Positional Encoding for Point Cloud Classification cites this paper.

Point-GN: A Non-Parametric Network Using Gaussian Positional Encoding for Point Cloud Classification Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 11

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Observation 49f9ce32-eb2b-4873-984d-25381a88dbcb · inbound

Learning Normal Flow Directly From Event Neighborhoods cites this paper.

Learning Normal Flow Directly From Event Neighborhoods Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 31

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Observation 92fe7be3-dd45-43ad-bc07-1eec43805edd · inbound

Event-based Motion Deblurring via Multi-Temporal Granularity Fusion cites this paper.

Event-based Motion Deblurring via Multi-Temporal Granularity Fusion Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 29

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Observation 3af4da31-6948-468e-8205-5886dbe9f125 · inbound

Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection cites this paper.

Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 21

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Observation e0efd5ce-3793-4ff4-b852-6d705524d868 · inbound

CHaRM: Conditioned Heatmap Regression Methodology for Accurate and Fast Dental Landmark Localization cites this paper.

CHaRM: Conditioned Heatmap Regression Methodology for Accurate and Fast Dental Landmark Localization Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 22

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Observation a288963d-36a8-4163-ab1d-835e48061a82 · inbound

Point-LN: A Lightweight Framework for Efficient Point Cloud Classification Using Non-Parametric Positional Encoding cites this paper.

Point-LN: A Lightweight Framework for Efficient Point Cloud Classification Using Non-Parametric Positional Encoding Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T15:17:57.885554Z

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Observation 72f537ec-a090-4a71-8dbd-9b6222f30310 · inbound

HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data cites this paper.

HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T11:47:53.989747Z

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Observation d697c014-a6bb-4289-9570-f6ddfdba8651 · inbound

WLTCL: Wide Field-of-View 3-D LiDAR Truck Compartment Automatic Localization System cites this paper.

WLTCL: Wide Field-of-View 3-D LiDAR Truck Compartment Automatic Localization System Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T10:11:50.635318Z

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Observation 558d5725-4b96-4e8d-bd69-5ac93d52a090 · inbound

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory cites this paper.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:13:17.521315Z

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Observation e3110652-b5db-4462-bef1-6321a9b4e9fc · inbound

Cosmology with Topological Deep Learning cites this paper.

Cosmology with Topological Deep Learning Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 38

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Observation d007897b-2b1e-4038-a718-713fc3088251 · inbound

StruMamba3D: Exploring Structural Mamba for Self-supervised Point Cloud Representation Learning cites this paper.

StruMamba3D: Exploring Structural Mamba for Self-supervised Point Cloud Representation Learning Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T22:31:39.566619Z

Source-reported events for the cited work

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Observation 075a899f-68d7-41a9-854c-c085d731444b · inbound

Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning cites this paper.

Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T22:26:50.194057Z

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Observation d6f22c8d-9106-410c-9b5d-126bd5dc3d51 · inbound

Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning cites this paper.

Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:14.681106Z

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Observation 2d7e5c70-c76f-471c-bbc9-807d2b9ccb3f · inbound

UPP: Unified Point-Level Prompting for Robust Point Cloud Analysis cites this paper.

UPP: Unified Point-Level Prompting for Robust Point Cloud Analysis Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T18:08:17.519509Z

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Observation a83d3a8f-6bf9-44b8-b75b-dc6c1e8ec34b · inbound

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet cites this paper.

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:48.400534Z

Source-reported events for the cited work

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Observation 7731104e-50f0-47c7-a3be-7f3e55666901 · inbound

Detecting Dental Landmarks from Intraoral 3D Scans: the 3DTeethLand challenge cites this paper.

Detecting Dental Landmarks from Intraoral 3D Scans: the 3DTeethLand challenge Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:18:43.831724Z

Source-reported events for the cited work

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Observation f829b1b5-d3d0-47a4-9e9e-68a15d8aca5a · inbound

CLAMP: Contrastive Learning for 3D Multi-View Action-Conditioned Robotic Manipulation Pretraining cites this paper.

CLAMP: Contrastive Learning for 3D Multi-View Action-Conditioned Robotic Manipulation Pretraining Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:27:36.845305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0a9c2708-5519-471a-9444-c3c94dfbb72b · inbound

Delaunay Canopy: Building Wireframe Reconstruction from Airborne LiDAR Point Clouds via Delaunay Graph cites this paper.

Delaunay Canopy: Building Wireframe Reconstruction from Airborne LiDAR Point Clouds via Delaunay Graph Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T21:48:18.994444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c2ab7398-a91c-458a-927e-27c42acb42f5 · inbound

Beyond Defenses: Manifold-Aligned Regularization for Intrinsic 3D Point Cloud Robustness cites this paper.

Beyond Defenses: Manifold-Aligned Regularization for Intrinsic 3D Point Cloud Robustness Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:57.512841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9d87211e-1cf3-4336-8bf7-0d47f35454f8 · inbound

Beyond Defenses: Manifold-Aligned Regularization for Intrinsic 3D Point Cloud Robustness cites this paper.

Beyond Defenses: Manifold-Aligned Regularization for Intrinsic 3D Point Cloud Robustness Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:35:24.866204Z

Source-reported events for the cited work

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Observation df666a9b-2853-4b04-bd56-6697034c976d · inbound

DAP: Doppler-aware Point Network for Heterogeneous mmWave Action Recognition cites this paper.

DAP: Doppler-aware Point Network for Heterogeneous mmWave Action Recognition Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:31:31.161382Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 500b7765-d474-4bca-8304-32d60d9a9ac8 · inbound

DAP: Doppler-aware Point Network for Heterogeneous mmWave Action Recognition cites this paper.

DAP: Doppler-aware Point Network for Heterogeneous mmWave Action Recognition Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T01:49:21.489981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0cabdfd1-e4f3-4d79-b8cb-7faeb5256696 · inbound

On the Generation and Mitigation of Harmful Geometry in Image-to-3D Models cites this paper.

On the Generation and Mitigation of Harmful Geometry in Image-to-3D Models Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:11:23.418308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a57a68f6-1c64-423f-aac2-35f318468e64 · inbound

RelFlexformer: Efficient Attention 3D-Transformers for Integrable Relative Positional Encodings cites this paper.

RelFlexformer: Efficient Attention 3D-Transformers for Integrable Relative Positional Encodings Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:26:24.061914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ed49f4cb-92f9-4b21-9444-db06744a09bf · inbound

A Camera-Cooperative ISAC Framework for Multimodal Non-Cooperative UAVs Sensing cites this paper.

A Camera-Cooperative ISAC Framework for Multimodal Non-Cooperative UAVs Sensing Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:11:08.857610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 316588c9-5d83-4af1-bc85-b3e4d825d93c · inbound

Scene Reconstruction as Mapping Priors for 3D Detection cites this paper.

Scene Reconstruction as Mapping Priors for 3D Detection Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:45:24.427699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 93402d4b-3e07-4936-865e-747c7a27996f · inbound

Full-field prediction for engineering-scale three-dimensional aircraft with multigrid-hierarchical learning cites this paper.

Full-field prediction for engineering-scale three-dimensional aircraft with multigrid-hierarchical learning Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T16:13:36.038765Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ce1f02cf-0f3f-44ec-a968-c88cb1f99d77 · inbound

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer cites this paper.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.945039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 20c19abe-41e2-47c4-bb5c-169e22eb3673 · inbound

Heterogeneous and Adept Snapshot Distillation for 3D Semantic Segmentation cites this paper.

Heterogeneous and Adept Snapshot Distillation for 3D Semantic Segmentation Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:00:07.699573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5efdebfe-9dca-4f94-ac7d-243096737c97 · inbound

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues cites this paper.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-12T10:52:48.803123Z

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Unavailable: canonical work link unavailable.