Paper Citation Record · LEDGER

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation

As of 10 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2507.22020.

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

pith.paper-citation-record.v1
2507.22020 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:10:33.020056Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

verified exact8
verified fuzzy5
unresolved10
parse uncertain0
malformed identifier1
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c9a21ca2-c25b-4c3a-a3b9-b5ee9857c7ea · outbound

This paper cites Explainable artificial intelligence for machine learning-based photogrammetric point cloud classification.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation Explainable artificial intelligence for machine learning-based photogrammetric point cloud classification

Reference 1

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T12:10:34.086315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ce806381-f5fc-431e-906b-a20bce6cfc0a · outbound

This paper cites Recent advancements in learning algorithms for point clouds: An updated overview.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation Recent advancements in learning algorithms for point clouds: An updated overview

Reference 2

Resolution: verified exact; doi, observed 2026-08-06T12:10:33.223146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ee2989fa-0496-4b97-a6ec-cdcecf85824d · outbound

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

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation ShapeNet: An Information-Rich 3D Model Repository

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T12:10:32.910123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fe74bc2-52b9-4684-973e-44a301ce694b · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation A density-based algorithm for discovering clusters in large spatial databases with noise

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:10:34.181548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e6352bf8-caa0-4969-9c57-75fa5540a947 · outbound

This paper cites Deep learning for 3D point clouds: A survey.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation Deep learning for 3D point clouds: A survey

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:10:34.163877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4e5a2d09-2407-4b6c-974c-04351ad1785d · outbound

This paper cites Toward Explainable Metrology 4.0: Utilizing Explainable AI to Predict the Pointwise Accuracy of Laser Scanning Devices in Industrial Manufacturing, pages 479–501.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation Toward Explainable Metrology 4.0: Utilizing Explainable AI to Predict the Pointwise Accuracy of Laser Scanning Devices in Industrial Manufacturing, pages 479–501

Reference 6

Resolution: verified exact; doi, observed 2026-08-06T12:10:33.208436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ef19b28c-527c-4954-a8cb-07e7d2de424f · outbound

This paper cites A unified approach to interpreting model predictions.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation A unified approach to interpreting model predictions

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:10:34.148228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 38ce0768-f580-45aa-882b-66943a2ed53d · outbound

This paper cites Some methods for classification and analysis of multivariate observations.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation Some methods for classification and analysis of multivariate observations

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:10:34.133008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c9c87bb2-02dc-4097-85d8-fefb1f3a3cc3 · outbound

This paper cites BubblEX: An explainable deep learning framework for point-cloud classification.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation BubblEX: An explainable deep learning framework for point-cloud classification

Reference 9

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T12:10:33.899485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 829842eb-083b-49fc-be33-1df5a9526f74 · outbound

This paper cites Interpretable Geometric Deep Learning via Learnable Randomness Injection.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation Interpretable Geometric Deep Learning via Learnable Randomness Injection

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:10:33.193716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f4a87431-9099-480b-b4e8-b75397f0cc6f · outbound

This paper cites Explainable artificial intelligence (xai) for methods working on point cloud data: A survey.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation Explainable artificial intelligence (xai) for methods working on point cloud data: A survey

Reference 11

Resolution: malformed identifier; no resolver link, observed 2026-08-06T12:10:32.946999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3b12857-76a8-416e-9f40-8f28bdcf82e2 · outbound

This paper cites Qi, Hao Su, Kaichun Mo, and Leonidas J.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation Qi, Hao Su, Kaichun Mo, and Leonidas J

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T12:10:32.951228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e887e33-9c67-43a8-8f0a-f8d544d1687c · outbound

This paper cites Why Should I Trust You?.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation Why Should I Trust You?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T12:10:32.955294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a65ee553-180b-4215-8ae4-c644ef4bdd59 · outbound

This paper cites From 3d point-cloud data to explainable geometric deep learning: State-of-the-art and future challenges.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation From 3d point-cloud data to explainable geometric deep learning: State-of-the-art and future challenges

Reference 14

Resolution: verified exact; doi, observed 2026-08-06T12:10:33.163991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac9c96cb-1b7a-4c72-97dc-21a8bc7cf9dd · outbound

This paper cites an unresolved cited work.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T12:10:32.965255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bed968d3-bc13-4955-957e-36d8d691cd3c · outbound

This paper cites Interpreting Representation Quality of DNNs for 3D Point Cloud Processing.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation Interpreting Representation Quality of DNNs for 3D Point Cloud Processing

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:10:33.140023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7faaa39b-f496-4f8b-8eb8-873cbde57c6c · outbound

This paper cites Interpretable rotation-equivariant quaternion neural networks for 3D point cloud processing.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation Interpretable rotation-equivariant quaternion neural networks for 3D point cloud processing

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T12:10:32.973688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7de3c3ec-1f98-468d-912e-9a7831c2f5ba · outbound

This paper cites Axiomatic Attribution for Deep Networks.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation Axiomatic Attribution for Deep Networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T12:10:32.977527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c856750b-14b7-4a79-9be7-d69e80fc75fd · outbound

This paper cites PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:10:33.105115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f8199187-5dcc-41b3-ad65-dbe387e18114 · outbound

This paper cites Flow AM: Generating Point Cloud Global Explanations by Latent Alignment.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation Flow AM: Generating Point Cloud Global Explanations by Latent Alignment

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:10:33.084132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bf58e53c-6387-409b-a846-d3c5842a0c87 · outbound

This paper cites Surrogate model-based explainability methods for point cloud NNs.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation Surrogate model-based explainability methods for point cloud NNs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T12:10:32.999306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e72f3b2-7d77-4a91-b179-37df40a0825e · outbound

This paper cites Explainability-aware one point attack for point cloud neural networks.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation Explainability-aware one point attack for point cloud neural networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T12:10:33.003413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b67b7d5-6dd7-45dc-ac64-c91569d72b98 · outbound

This paper cites an unresolved cited work.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:10:34.117146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c16a6b77-cf84-4453-bd7a-a0a4464eba94 · outbound

This paper cites A scalable active framework for region annotation in 3d shape collections.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation A scalable active framework for region annotation in 3d shape collections

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:10:34.102569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3bf98861-7366-4399-9a38-ae5c36002091 · outbound

This paper cites an unresolved cited work.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation Unresolved cited work

Reference 27

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T12:10:33.432259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 346ff47a-bbd5-4560-9b13-2f5183bdea43 · outbound

This paper cites PointCloud Saliency Maps.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation PointCloud Saliency Maps

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:10:33.062154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6aa38f46-2c29-4be9-a9a9-5c0589aca940 · outbound

This paper cites an unresolved cited work.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation Unresolved cited work

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T12:10:32.922383Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.