Paper Citation Record · LEDGER

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results

As of 18 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2505.11521.

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

pith.paper-citation-record.v1
2505.11521 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:01:45.083943Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

32 of 32 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 40adcb49-85db-4e9b-a1ae-683ad8934fc3 · outbound

This paper cites Monocular 3d object detection for autonomous driving.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Monocular 3d object detection for autonomous driving

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:01:45.616612Z

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Observation feb649fc-1553-4c36-8d3d-7d545aef7c92 · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results 4d spatio-temporal convnets: Minkowski convolutional neural networks

Reference 2

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Observation fbcd5ad6-0a47-41ed-9c3c-3489be33cc84 · outbound

This paper cites Elements of information theory.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Elements of information theory

Reference 3

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Observation 15557cf2-4100-45fd-b93c-78f37dbc97f8 · outbound

This paper cites Deep multi-modal object de- tection and semantic segmentation for autonomous driving: Datasets, methods, and challenges.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Deep multi-modal object de- tection and semantic segmentation for autonomous driving: Datasets, methods, and challenges

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:01:45.567603Z

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Observation 4c4b06fb-0051-4234-83fc-68d8b93b116a · outbound

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

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Deep learning for 3d point clouds: A survey

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:01:45.549137Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ea5432f3-5813-467a-9250-cd13f3bd324c · outbound

This paper cites Robustness against adversarial attacks via learning confined adversarial poly- topes.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Robustness against adversarial attacks via learning confined adversarial poly- topes

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:01:45.532673Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7f2b92c2-a20e-48d0-86f6-8972fdcbdbdd · outbound

This paper cites Adversarial train- ing via adaptive knowledge amalgamation of an ensemble of teachers, 2024.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Adversarial train- ing via adaptive knowledge amalgamation of an ensemble of teachers, 2024

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:01:45.514922Z

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Observation 73bfcb19-22a6-4d41-a66a-5fecdf2f1268 · outbound

This paper cites Distributed quasi- newton method for fair and fast federated learning.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Distributed quasi- newton method for fair and fast federated learning

Reference 8

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Observation 51d6a142-443c-4725-bdd5-33364600617b · outbound

This paper cites Fed-it: Addressing class imbalance in feder- ated learning through an information- theoretic lens.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Fed-it: Addressing class imbalance in feder- ated learning through an information- theoretic lens

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:01:45.481863Z

Source-reported events for the cited work

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Observation 74d55607-f516-4f4c-ab80-831702721ac4 · outbound

This paper cites Pointcam: Cut-and- mix for open-set point cloud learning.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Pointcam: Cut-and- mix for open-set point cloud learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:01:45.466205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d6ae84f0-22a0-4a5d-baed-e14019d2fdab · outbound

This paper cites 3d convolu- tional neural networks for human action recognition.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results 3d convolu- tional neural networks for human action recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:01:45.450961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation db93234c-5bfd-4885-a956-3d3b98ee6e18 · outbound

This paper cites Open-set semantic segmenta- tion for point clouds via adversarial prototype framework.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Open-set semantic segmenta- tion for point clouds via adversarial prototype framework

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:01:45.435853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 64fa2c4b-5e65-4b9b-802f-d2edac2125f0 · outbound

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

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 13

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Observation 74219e7f-f57a-4bf2-85fa-2da3e8764142 · outbound

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

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Qi, Li Yi, Hao Su, and Leonidas J

Reference 14

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Observation 5d6834a6-8224-4de9-9028-4ea5aadd8fa8 · outbound

This paper cites Novel class discovery for 3d point cloud semantic segmen- tation.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Novel class discovery for 3d point cloud semantic segmen- tation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:01:45.400700Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 700d40e5-6f6b-4503-92de-76f176c31fd0 · outbound

This paper cites Towards 3d object maps for au- tonomous household robots.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Towards 3d object maps for au- tonomous household robots

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:01:45.386037Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 034e7282-6498-448b-b49d-884e0aa6490c · outbound

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Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Unresolved cited work

Reference 17

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Observation 36d6b38c-6ab9-4d8c-886f-a32ba5916127 · outbound

This paper cites Kpconv: Flexible and deformable convolution for point clouds.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Kpconv: Flexible and deformable convolution for point clouds

Reference 18

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a370075e-9efb-4405-957e-77a1778afd2f · outbound

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Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Unresolved cited work

Reference 19

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Observation 421acf39-c49c-42e7-bc9f-27f7feacc831 · outbound

This paper cites Apex: Unsupervised, object-centric scene segmenta- tion and tracking for robot manipulation.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Apex: Unsupervised, object-centric scene segmenta- tion and tracking for robot manipulation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:01:45.323826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5efd37b5-dd65-46ca-84d3-91c3553aa651 · outbound

This paper cites Interactive shape co-segmentation via label propagation.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Interactive shape co-segmentation via label propagation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:01:45.308652Z

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Observation 2ca72fa3-b4c1-431d-b07e-557512d151f2 · outbound

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

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results 3d shapenets: A deep representation for volumetric shapes

Reference 22

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Observation 8b329bf3-eba0-4c7a-a390-8cc52278b506 · outbound

This paper cites Pdf: A probability-driven framework for open world 3d point cloud semantic segmen- tation.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Pdf: A probability-driven framework for open world 3d point cloud semantic segmen- tation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:01:45.275139Z

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Observation e745609e-5050-4612-a9a3-3bc5b6300aeb · outbound

This paper cites Markov knowledge distil- lation: Make nasty teachers trained by self-undermining knowledge distillation fully distillable.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Markov knowledge distil- lation: Make nasty teachers trained by self-undermining knowledge distillation fully distillable

Reference 24

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Observation 22047ba9-8b8f-4fea-9f84-2bfb2a246d98 · outbound

This paper cites Conditional Mutual Information Constrained Deep Learning for Classification.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Conditional Mutual Information Constrained Deep Learning for Classification

Reference 25

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Observation d7f86e93-15a3-4ca4-8f01-7c7ed6f115eb · outbound

This paper cites Conditional mutual information con- strained deep learning: Framework and preliminary results.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Conditional mutual information con- strained deep learning: Framework and preliminary results

Reference 26

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Observation ad652920-063f-4042-a726-9fc7a593f1cc · outbound

This paper cites Conditional mutual information constrained deep learning for classification.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Conditional mutual information constrained deep learning for classification

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:01:45.222154Z

Source-reported events for the cited work

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Observation 677f9038-4b0f-4041-9b3a-d73adf1e2bc9 · outbound

This paper cites Methods and systems for conditional mutual information constrained deep learning, 2025.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Methods and systems for conditional mutual information constrained deep learning, 2025

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:01:45.206335Z

Source-reported events for the cited work

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This paper cites Bayes conditional distribution estimation for knowledge distillation based on conditional mutual informa- tion.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Bayes conditional distribution estimation for knowledge distillation based on conditional mutual informa- tion

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:01:45.190293Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 33851fdc-13c9-4617-8f70-33ebd9322052 · outbound

This paper cites Towards undistillable models by minimizing conditional mutual information, 2025.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Towards undistillable models by minimizing conditional mutual information, 2025

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:01:45.174291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3e9ac028-926c-4dd8-8538-e0cae0a7eb31 · outbound

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

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Shef- fer, and Leonidas Guibas

Reference 31

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Observation b86770eb-b7a5-4759-a31f-d88bb2d24de0 · outbound

This paper cites Real- time 3d segmentation for human-robot interaction.

Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results Real- time 3d segmentation for human-robot interaction

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:01:45.147627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.