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Paper Citation Record · LEDGER

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 2 inbound Pith citation observations for arXiv:2505.19546.

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

pith.paper-citation-record.v1
2505.19546 v1

Coverage vector

measured 31 of 31 reference resolution

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T07:35:53.034551Z

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

Source: arxiv_reference, observed 2026-07-03T13:48:20.730947Z

Reference resolution

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation dd5a8a52-bca6-4c0e-bcb7-11495394d715 · outbound

This paper cites GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D

Reference 1

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Observation 17dfb1c9-e825-4988-b011-e5403c3a0475 · outbound

This paper cites Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging

Reference 2

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Observation 02d4ff83-52a6-49e0-9b9e-8569209e1f49 · outbound

This paper cites Spectral Informed Mamba for Robust Point Cloud Processing.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Spectral Informed Mamba for Robust Point Cloud Processing

Reference 3

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Observation 83289d83-9be5-466f-958d-eb5ebaa24f88 · outbound

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

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds ShapeNet: An Information-Rich 3D Model Repository

Reference 4

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Observation 664f03d5-0a1a-44db-8b8b-ddf9aa8150ae · outbound

This paper cites Mathematical theory of medial axis transform.pacific jour- nal of mathematics, 181(1):57–88, 1997.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Mathematical theory of medial axis transform.pacific jour- nal of mathematics, 181(1):57–88, 1997

Reference 5

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Observation 39534e84-27cf-4d42-9b13-7d0fe95ccc5b · outbound

This paper cites Test-time training with masked autoencoders.Advances in Neural Information Processing Systems, 35:29374–29385,.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Test-time training with masked autoencoders.Advances in Neural Information Processing Systems, 35:29374–29385,

Reference 6

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Observation 9638e091-e2e3-48dc-9e68-6e1ec126527e · outbound

This paper cites Back to the source: Diffusion- driven adaptation to test-time corruption.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Back to the source: Diffusion- driven adaptation to test-time corruption

Reference 7

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Observation e3202b95-e913-42d4-b466-8270da77fe9b · outbound

This paper cites Test-time classifier adjustment module for model-agnostic domain generaliza- tion.Advances in Neural Information Processing Systems, 34:2427–2440, 2021.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Test-time classifier adjustment module for model-agnostic domain generaliza- tion.Advances in Neural Information Processing Systems, 34:2427–2440, 2021

Reference 8

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Observation dbc68f18-e9fa-4b4c-a71b-baad116f482b · outbound

This paper cites Q-mat: Computing medial axis trans- form by quadratic error minimization.ACM Transactions on Graphics (TOG), 35(1):1–16, 2015.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Q-mat: Computing medial axis trans- form by quadratic error minimization.ACM Transactions on Graphics (TOG), 35(1):1–16, 2015

Reference 9

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Observation e0fc09a0-3a8e-4197-b101-976832c29b3f · outbound

This paper cites Adaptive batch normalization for practical do- main adaptation.Pattern Recognition, 80:109–117, 2018.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Adaptive batch normalization for practical do- main adaptation.Pattern Recognition, 80:109–117, 2018

Reference 10

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Observation 4002f5d5-78e9-4b2c-a553-d271ca94dd28 · outbound

This paper cites PointMamba: A Simple State Space Model for Point Cloud Analysis.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds PointMamba: A Simple State Space Model for Point Cloud Analysis

Reference 11

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Observation 33081a36-e697-41bf-ae19-d462923d31a2 · outbound

This paper cites Do we really need to access the source data? source hypothesis transfer for un- supervised domain adaptation.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Do we really need to access the source data? source hypothesis transfer for un- supervised domain adaptation

Reference 12

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Observation e31c079b-a9cf-433d-a883-13896a40ce00 · outbound

This paper cites Point2skeleton: Learning skele- tal representations from point clouds.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Point2skeleton: Learning skele- tal representations from point clouds

Reference 13

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Observation 02f4deb3-b856-4bb6-a0db-96b06cf1c639 · outbound

This paper cites Ttt++: When does self-supervised test-time training fail or thrive? Advances in Neural Information Processing Systems, 34: 21808–21820, 2021.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Ttt++: When does self-supervised test-time training fail or thrive? Advances in Neural Information Processing Systems, 34: 21808–21820, 2021

Reference 14

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Observation bcaaa6c1-89fa-40ea-9614-977bae70d80b · outbound

This paper cites The norm must go on: Dynamic unsuper- vised domain adaptation by normalization.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds The norm must go on: Dynamic unsuper- vised domain adaptation by normalization

Reference 15

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Observation 62a94262-24d7-4135-b086-f3e7a4b5726f · outbound

This paper cites Mate: Masked au- toencoders are online 3d test-time learners.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Mate: Masked au- toencoders are online 3d test-time learners

Reference 16

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Observation b2d9fbbf-a8fd-4f7e-97c2-465b68d5862a · outbound

This paper cites Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 17

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Observation b9977c90-bb2f-4a78-9328-ad8705c638e1 · outbound

This paper cites V oronoi skeletons: the- ory and applications.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds V oronoi skeletons: the- ory and applications

Reference 18

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Observation ff266fe9-89aa-4eaa-b382-ed49b04865c4 · outbound

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

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Masked autoencoders for point cloud self-supervised learning

Reference 19

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Observation 86b60cda-91dd-44f4-bd6b-ea7884fc5856 · outbound

This paper cites Benchmarking and analyzing point cloud classification under corruptions.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Benchmarking and analyzing point cloud classification under corruptions

Reference 20

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Observation a4cb1338-edf3-4931-925b-545678180112 · outbound

This paper cites Cloudfixer: Test-time adaptation for 3d point clouds via diffusion-guided geometric transformation.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Cloudfixer: Test-time adaptation for 3d point clouds via diffusion-guided geometric transformation

Reference 21

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Source-reported events for the cited work

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Observation a49dc94e-1b46-427a-87aa-6c7c20681cfa · outbound

This paper cites Medial meshes–a compact and accurate representation of medial axis transform.IEEE transactions on visualization and computer graphics, 22(3):1278–1290, 2015.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Medial meshes–a compact and accurate representation of medial axis transform.IEEE transactions on visualization and computer graphics, 22(3):1278–1290, 2015

Reference 22

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Observation 64e6abab-02f4-48f2-b62e-f20e27cf38c6 · outbound

This paper cites Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions

Reference 23

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Observation d31f1b54-1dd2-46ec-aada-f9ec438a651d · outbound

This paper cites Test-time training with self- supervision for generalization under distribution shifts.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Test-time training with self- supervision for generalization under distribution shifts

Reference 24

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Observation 2d7dfc6d-3e6e-40e2-b99e-a7f629cc2db3 · outbound

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

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data

Reference 25

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Observation 27b4b4a4-6e2e-410b-9387-76afcea85f24 · outbound

This paper cites Tent: Fully Test-time Adaptation by Entropy Minimization.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Tent: Fully Test-time Adaptation by Entropy Minimization

Reference 26

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Observation 4c0cd0bf-a8eb-48c5-98cb-4a2632095eb8 · outbound

This paper cites Backpropagation-free network for 3d test-time adapta- tion.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Backpropagation-free network for 3d test-time adapta- tion

Reference 27

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Source-reported events for the cited work

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Observation 6ab51a0c-8d92-43d3-ba1f-a1fc3f7868b7 · outbound

This paper cites Learnable skeleton-aware 3d point cloud sampling.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Learnable skeleton-aware 3d point cloud sampling

Reference 28

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Observation 35ea6774-382f-4120-be99-5a1318b08740 · outbound

This paper cites V oxel cores: Effi- cient, robust, and provably good approximation of 3d medial axes.ACM Transactions on Graphics (TOG), 37(4):1–13,.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds V oxel cores: Effi- cient, robust, and provably good approximation of 3d medial axes.ACM Transactions on Graphics (TOG), 37(4):1–13,

Reference 29

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Observation 8bff3aa0-ba39-408c-acd7-a6e7b58da02a · outbound

This paper cites Memo: Test time robustness via adaptation and augmentation.Ad- vances in neural information processing systems, 35:38629– 38642, 2022.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Memo: Test time robustness via adaptation and augmentation.Ad- vances in neural information processing systems, 35:38629– 38642, 2022

Reference 30

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Observation e2096d55-7661-47f3-8319-eb768ff79706 · outbound

This paper cites Point-m2ae: multi-scale masked autoencoders for hierarchical point cloud pre-training.Advances in neural information processing sys- tems, 35:27061–27074, 2022.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Point-m2ae: multi-scale masked autoencoders for hierarchical point cloud pre-training.Advances in neural information processing sys- tems, 35:27061–27074, 2022

Reference 31

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Pith citing papers

Observation 4a1628e5-9301-4d67-ac5c-64e85a13e459 · inbound

TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses cites this paper.

TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds

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MAMVI: 3D Test-Time Adaptation via Masked Multi-View Point Clouds cites this paper.

MAMVI: 3D Test-Time Adaptation via Masked Multi-View Point Clouds SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds

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arxiv_id, observed 2026-07-03T13:48:20.732481Z

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