Paper Citation Record · LEDGER

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation

As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 9 inbound Pith citation observations for arXiv:2506.17290.

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

pith.paper-citation-record.v1
2506.17290 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:43:52.576707Z

measured 52 of 52 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:09:21.774792Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:37:27.015860Z

Reference resolution

43 of 43 outbound references displayed

verified exact1
verified fuzzy25
unresolved17
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2380c4e7-5d87-4a66-a745-f66e7df7433b · outbound

This paper cites Double-view feature fusion network for lidar semantic segmentation.Journal of Image and Graphics, 29(1):205–217, 2024.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Double-view feature fusion network for lidar semantic segmentation.Journal of Image and Graphics, 29(1):205–217, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:58.900736Z

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 a3be9cfc-5fbb-417d-83f4-6bccc48c30b6 · outbound

This paper cites 3d point cloud segmentation: A survey.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation 3d point cloud segmentation: A survey

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:58.682787Z

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 a70ef74b-7285-44eb-94d8-fc0485af0f29 · outbound

This paper cites an unresolved cited work.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:43:58.463226Z

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 0c9e1714-588d-4dc7-afcb-0b6bf4c076b7 · outbound

This paper cites Pointconv: Deep convolutional networks on 3d point clouds.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Pointconv: Deep convolutional networks on 3d point clouds

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:47.487627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da5eeaf3-4582-4305-b916-3a882da8ddfb · outbound

This paper cites Point-to-voxel knowledge distillation for lidar semantic segmentation.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Point-to-voxel knowledge distillation for lidar semantic segmentation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:58.234757Z

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 ce9d233e-7f00-4b68-bedd-0290151c4e3a · outbound

This paper cites Point transformer.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Point transformer

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:47.790914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4289b9e-e964-447d-93fc-da1020b50160 · outbound

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

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation 4d spatio-temporal convnets: Minkowski convolutional neural networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:47.978257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0deb1aad-4d0b-4e66-adef-e8cddd3101e6 · outbound

This paper cites Stratified transformer for 3d point cloud segmentation.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Stratified transformer for 3d point cloud segmentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:48.127364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bc64255-566d-4bc4-9ee9-1588a3a6b9aa · outbound

This paper cites Octformer: Octree-based transformers for 3d point clouds.ACM Transactions on Graphics (TOG), 42(4):1–11, 2023.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Octformer: Octree-based transformers for 3d point clouds.ACM Transactions on Graphics (TOG), 42(4):1–11, 2023

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:48.219189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36deaeaf-e0ac-44ed-a5d4-2cf87bc8618a · outbound

This paper cites Point transformer v2: Grouped vec- tor attention and partition-based pooling.Advances in Neural Information Processing Systems, 35:33330– 33342, 2022.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Point transformer v2: Grouped vec- tor attention and partition-based pooling.Advances in Neural Information Processing Systems, 35:33330– 33342, 2022

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:48.356129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2ba1612-a54b-41ad-8039-2e54f003e84e · outbound

This paper cites Point transformer v3: Simpler faster stronger.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Point transformer v3: Simpler faster stronger

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:58.047217Z

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 4616ab95-caca-4342-82db-bcdf27e99885 · outbound

This paper cites An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:43:52.774909Z

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 2dd5e4fc-0883-42a5-8b5d-e94298c171bc · outbound

This paper cites Distilling the Knowledge in a Neural Network.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Distilling the Knowledge in a Neural Network

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:48.754863Z

Source-reported events for the cited work

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Observation 5e83046e-f09e-46cb-ae20-6d58d3ae88ef · outbound

This paper cites Hierarchical self-supervised augmented knowledge distillation.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Hierarchical self-supervised augmented knowledge distillation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:57.805661Z

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 4f835e8a-6d37-4192-94b4-7488bde4d14f · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation FitNets: Hints for Thin Deep Nets

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:49.092678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81b00607-dfd6-4d05-b838-00e3f6f13c1a · outbound

This paper cites Distilling knowledge via knowledge review.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Distilling knowledge via knowledge review

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:57.561607Z

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 994fe514-8e63-457c-a1d7-9f7243435e9a · outbound

This paper cites Clip-kd: An empirical study of clip model distillation.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Clip-kd: An empirical study of clip model distillation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:57.293342Z

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 5cbb7b12-9ad0-48be-a762-66da5ab26814 · outbound

This paper cites Relational knowledge distillation.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Relational knowledge distillation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:57.015710Z

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 3c34cd07-f59b-49d9-814f-a33ea9b44f8c · outbound

This paper cites Mutual contrastive learning for visual representation learning.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Mutual contrastive learning for visual representation learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:56.701663Z

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 043403dc-af05-432f-9e9f-89c37b129372 · outbound

This paper cites Cross-image relational knowledge distillation for semantic segmentation.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Cross-image relational knowledge distillation for semantic segmentation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:56.473393Z

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 528e0b01-07d2-42a9-a1f8-accced5019c0 · outbound

This paper cites Online knowledge distillation via mutual contrastive learning for visual recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8):10212–10227, 2023.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Online knowledge distillation via mutual contrastive learning for visual recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8):10212–10227, 2023

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:56.255362Z

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 07d3d6ef-656a-4daa-a4a7-0f7f5f6418ad · outbound

This paper cites Rela- tional diffusion distillation for efficient image generation.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Rela- tional diffusion distillation for efficient image generation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:56.018914Z

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 4824992a-91a5-4288-996f-aad7442a7527 · outbound

This paper cites Structured knowledge distillation for semantic segmentation.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Structured knowledge distillation for semantic segmentation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:50.031127Z

Source-reported events for the cited work

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Observation 72eb03c6-a4a1-4fc0-8020-00106876cc70 · outbound

This paper cites Transkd: Transformer knowledge distillation for efficient semantic segmentation.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Transkd: Transformer knowledge distillation for efficient semantic segmentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:55.773080Z

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 aef7f5ca-97d5-4541-85ba-6e6df837d1a3 · outbound

This paper cites Pointdistiller: Structured knowledge distillation towards efficient and compact 3d detection.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Pointdistiller: Structured knowledge distillation towards efficient and compact 3d detection

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:55.527362Z

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 afa30c7b-24f2-47eb-970d-c0a6cf2674b5 · outbound

This paper cites Balanced residual distillation learning for 3d point cloud class-incremental semantic segmentation.Expert Systems with Applications, 269:126399, 2025.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Balanced residual distillation learning for 3d point cloud class-incremental semantic segmentation.Expert Systems with Applications, 269:126399, 2025

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:55.253497Z

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 9a95de0a-b0ba-4052-8c05-00163cde5800 · outbound

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

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:50.454921Z

Source-reported events for the cited work

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Observation 3f1e785b-1fea-4ff9-9786-d5d13063b19e · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.Advances in neural information processing systems, 30, 2017.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Pointnet++: Deep hierarchical feature learning on point sets in a metric space.Advances in neural information processing systems, 30, 2017

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:50.565970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 177b832e-fa67-47b7-aea6-5843e8da6fb1 · outbound

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

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Kpconv: Flexible and deformable convolution for point clouds

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:50.714303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1fa5892-fdfe-4396-a2e6-18bbe0cbe3c2 · outbound

This paper cites Large-scale point cloud semantic segmentation with superpoint graphs.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Large-scale point cloud semantic segmentation with superpoint graphs

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:55.039263Z

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 6164db41-2e05-49b4-b5ba-764fc9bf7edf · outbound

This paper cites Randla-net: Efficient semantic segmentation of large-scale point clouds.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Randla-net: Efficient semantic segmentation of large-scale point clouds

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:50.982920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6dfda4c-00bd-4b32-a341-b5c0a8d4c104 · outbound

This paper cites Scf-net: Learning spatial contextual features for large-scale point cloud segmentation.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Scf-net: Learning spatial contextual features for large-scale point cloud segmentation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:54.783109Z

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 e0c08815-f1cd-4913-a07f-e67ea2a3681d · outbound

This paper cites Rpvnet: A deep and efficient range-point-voxel fusion network for lidar point cloud segmentation.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Rpvnet: A deep and efficient range-point-voxel fusion network for lidar point cloud segmentation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:54.555825Z

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 5368dbf3-a5b6-41c2-ae20-126e95c81b13 · outbound

This paper cites Cylindrical and asymmetrical 3d convolution networks for lidar segmentation.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Cylindrical and asymmetrical 3d convolution networks for lidar segmentation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:54.331151Z

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 86a001b9-e296-46c9-8e85-0af2e088a878 · outbound

This paper cites Attention is all you need.Advances in Neural Information Processing Systems, 2017.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Attention is all you need.Advances in Neural Information Processing Systems, 2017

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:51.452754Z

Source-reported events for the cited work

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Observation 668ccd80-609d-4352-b3ca-23e01843aa3f · outbound

This paper cites Pct: Point cloud transformer.Computational Visual Media, 7:187–199, 2021.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Pct: Point cloud transformer.Computational Visual Media, 7:187–199, 2021

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:54.146893Z

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 f6fc6b95-7f26-45de-a404-4cf07cd605c9 · outbound

This paper cites Learning to steer by mimicking features from heterogeneous auxiliary networks.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Learning to steer by mimicking features from heterogeneous auxiliary networks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:54.001611Z

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 cbf0ec84-c490-47cd-9503-b0f25648feb2 · outbound

This paper cites A gift from knowledge distillation: Fast optimization, network minimization and transfer learning.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation A gift from knowledge distillation: Fast optimization, network minimization and transfer learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:51.928993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08cd5bf6-f930-4ac5-aea9-57e4eb0ef284 · outbound

This paper cites Towards efficient 3d object detection with knowledge distillation.Advances in Neural Information Processing Systems, 35:21300–21313, 2022.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Towards efficient 3d object detection with knowledge distillation.Advances in Neural Information Processing Systems, 35:21300–21313, 2022

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:53.753011Z

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 f68e0822-6042-4a47-9bcc-8f8a8af470a6 · outbound

This paper cites X3kd: Knowledge distillation across modalities, tasks and stages for multi- camera 3d object detection.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation X3kd: Knowledge distillation across modalities, tasks and stages for multi- camera 3d object detection

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:53.565084Z

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 f04a2f1e-1d85-4acc-a274-6e4c424be962 · outbound

This paper cites Label-guided knowledge distillation for continual semantic segmentation on 2d images and 3d point clouds.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Label-guided knowledge distillation for continual semantic segmentation on 2d images and 3d point clouds

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:53.297066Z

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 97b84d59-9377-4fb3-86d8-43baef020049 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:52.469203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d735a5c4-92a9-4059-a0e0-3de33e5d078e · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:53.001135Z

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

Observation fb3e0e97-3c31-45ad-b042-b84f35a5a36d · inbound

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving cites this paper.

SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:00.713915Z

Source-reported events for the cited work

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Observation 8d11803f-9317-4130-acde-08a6888a374c · inbound

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling cites this paper.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T17:09:21.774792Z

Source-reported events for the cited work

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Observation 8d93e19e-3879-4dd7-b9da-2d96cc9d6f1e · inbound

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting cites this paper.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T14:53:56.148179Z

Source-reported events for the cited work

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Observation 03c21f7c-1ebb-40ea-965b-2c14e1443cd1 · inbound

Asynchronous Federated Unlearning with Invariance Calibration for Medical Imaging cites this paper.

Asynchronous Federated Unlearning with Invariance Calibration for Medical Imaging SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:26:26.715396Z

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 1ecb003f-b6af-4e7b-943e-3707615223d8 · inbound

Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation cites this paper.

Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:45:45.653480Z

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 b3f62d5e-f37c-457e-9694-9c5b236431a6 · inbound

Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation cites this paper.

Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:37:27.017663Z

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 8b6fa160-3d15-425c-880e-d9427ba752df · inbound

Bridging Reasoning Trajectories in On-Policy Distillation via Near-Future Guidance cites this paper.

Bridging Reasoning Trajectories in On-Policy Distillation via Near-Future Guidance SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T19:46:10.108224Z

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 43c504fc-8a55-4e8b-b78c-b33784b91c0f · inbound

Bridging Reasoning Trajectories in On-Policy Distillation via Near-Future Guidance cites this paper.

Bridging Reasoning Trajectories in On-Policy Distillation via Near-Future Guidance SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T10:44:37.244559Z

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 c0cd8969-6967-466a-8133-032cbc9120c7 · inbound

Where Detectors Fail: Closing the Tail-Domain Gap with Expert-Guided Mutual Distillation cites this paper.

Where Detectors Fail: Closing the Tail-Domain Gap with Expert-Guided Mutual Distillation SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T13:32:55.082686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.