Paper Citation Record · LEDGER

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation

As of 15 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2506.00475.

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

pith.paper-citation-record.v1
2506.00475 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:08:05.369930Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

33 of 33 outbound references displayed

verified exact0
verified fuzzy30
unresolved3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cd8a4625-b162-45c5-82cc-a0c70f075bc2 · outbound

This paper cites Point cloud denoising using normal vector-based graph wavelet shrinkage,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Point cloud denoising using normal vector-based graph wavelet shrinkage,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:11.397086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d99788ac-4121-4b30-93a8-1637b9bce974 · outbound

This paper cites Pointactionclip: Preventing transfer degradation in point cloud action recognition with a triple-path clip,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Pointactionclip: Preventing transfer degradation in point cloud action recognition with a triple-path clip,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:11.224442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2695274e-5511-440a-a901-599072f286a4 · outbound

This paper cites Prenet: A plane- fit redundancy encoding point cloud sequence network for real-time 3d action recognition,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Prenet: A plane- fit redundancy encoding point cloud sequence network for real-time 3d action recognition,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:11.040539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 684e28a4-06c1-4303-916d-6972b25645af · outbound

This paper cites 3d point cloud segmentation for complex structure based on pointsift,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation 3d point cloud segmentation for complex structure based on pointsift,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:10.837826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 81ac416b-fa17-4e49-8aaa-867990354029 · outbound

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

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:10.688666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 07ab3ebf-ee3d-4107-b413-1c29032f9e87 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:03.131834Z

Source-reported events for the cited work

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Observation 7d1cf279-96a7-477d-87d8-1d7a3d234b53 · outbound

This paper cites Gapointnet: Graph attention based point neural network for exploiting local feature of point cloud,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Gapointnet: Graph attention based point neural network for exploiting local feature of point cloud,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:10.504442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4ed1d9cc-6012-4958-8aa2-653d021739a0 · outbound

This paper cites Dynamic graph cnn for learning on point clouds,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Dynamic graph cnn for learning on point clouds,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:10.311575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bf7c49be-790e-446e-877e-77c767a064c6 · outbound

This paper cites Spherical kernel for efficient graph convolution on 3d point clouds,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Spherical kernel for efficient graph convolution on 3d point clouds,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:10.156308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 53da855e-b558-4261-926f-73eb56334dda · outbound

This paper cites Adaptive graph convolution for point cloud analysis,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Adaptive graph convolution for point cloud analysis,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:09.954021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 53fd09f6-4a53-4e9b-92f0-c5ace178562c · outbound

This paper cites Improving graph representation for point cloud segmentation via attentive filtering,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Improving graph representation for point cloud segmentation via attentive filtering,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:09.754384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9761254e-0514-4b1c-91b2-f36fb1803fb3 · outbound

This paper cites Exploring spatial context for 3d semantic segmentation of point clouds,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Exploring spatial context for 3d semantic segmentation of point clouds,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:09.588396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9036a19b-c8b0-4492-850e-8cb95b414349 · outbound

This paper cites 3d recurrent neural networks with context fusion for point cloud semantic segmentation,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation 3d recurrent neural networks with context fusion for point cloud semantic segmentation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:09.418640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1e66843a-0a6a-463b-a0b7-b4a41af438a4 · outbound

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

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Randla-net: Efficient semantic segmentation of large- scale point clouds,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:09.227078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c32abcd6-abd6-4ab6-a698-40d4e517be22 · outbound

This paper cites Point convolutional neural networks by extension operators,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Point convolutional neural networks by extension operators,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:09.014142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9ffc8c5e-7dd5-459d-8414-90ff2092e93a · outbound

This paper cites Pointwise convolutional neural networks,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Pointwise convolutional neural networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:08.823840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 16dc18c0-c6dc-48b7-87d7-8e8e05b4f70d · outbound

This paper cites A-cnn: Annularly convolutional neural networks on point clouds,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation A-cnn: Annularly convolutional neural networks on point clouds,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:08.611454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b7fafc7a-c093-451a-b45a-2b6421c35972 · outbound

This paper cites Pointcnn: Convolution on x-transformed points,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Pointcnn: Convolution on x-transformed points,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:08.422430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fc725ea7-a165-470f-839d-eeb3b4372a71 · outbound

This paper cites Semi-supervised classification with graph convolutional networks,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Semi-supervised classification with graph convolutional networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:08.211724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b1c15cff-b540-4e69-8549-d1c531e8ce1d · outbound

This paper cites Attention is all you need,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Attention is all you need,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:04.150319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12488147-3b28-4c95-baca-7e5c48a178ba · outbound

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

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Stratified transformer for 3d point cloud segmentation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:07.866008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3975fd27-d8fb-4492-9f86-490ad4dcf4ec · outbound

This paper cites Pyramid architecture for multi- scale processing in point cloud segmentation,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Pyramid architecture for multi- scale processing in point cloud segmentation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:07.578685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3ff195fe-15b7-40b7-9b94-5a1a78b0077e · outbound

This paper cites Fast point transformer,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Fast point transformer,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:07.184573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f5de9c9d-f996-4af7-ad54-935d03fdfae9 · outbound

This paper cites Learning inner-group relations on point clouds,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Learning inner-group relations on point clouds,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:07.025506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4efdfbc9-088d-4b6e-9043-cf4ac848a103 · outbound

This paper cites Patchformer: An efficient point transformer with patch attention,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Patchformer: An efficient point transformer with patch attention,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:06.665112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cf825454-1349-4ea6-87d0-08626eea3219 · outbound

This paper cites Point transformer,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Point transformer,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:06.390368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c1f239db-b2b7-4228-9b3d-af15bc2efc54 · outbound

This paper cites Less is more: label recommendation for weakly supervised point cloud semantic segmenta- tion,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Less is more: label recommendation for weakly supervised point cloud semantic segmenta- tion,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:06.151679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 58c336d7-e724-4b9a-91cc-11eb4be82631 · outbound

This paper cites Escape from cells: Deep kd-networks for the recognition of 3d point cloud models,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Escape from cells: Deep kd-networks for the recognition of 3d point cloud models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:05.927494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 81cfbfef-eaea-459c-980f-fcc6dfcc6fcb · outbound

This paper cites Recurrent slice networks for 3d segmentation of point clouds,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Recurrent slice networks for 3d segmentation of point clouds,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:05.762831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bef6539b-e44d-4ebc-9ee7-9b80868cef40 · outbound

This paper cites Sgpn: Similarity group proposal network for 3d point cloud instance segmentation,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Sgpn: Similarity group proposal network for 3d point cloud instance segmentation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:05.684677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3946b3f8-109f-45fa-adcb-061dd74cc98d · outbound

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

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation ShapeNet: An Information-Rich 3D Model Repository

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:05.301004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc9b1047-061d-4a05-949c-b53d7c162474 · outbound

This paper cites 3d semantic parsing of large-scale indoor spaces,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation 3d semantic parsing of large-scale indoor spaces,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:05.570516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a8b3276a-6f1f-4073-9844-8192553b5382 · outbound

This paper cites Segcloud: Semantic segmentation of 3d point clouds,.

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation Segcloud: Semantic segmentation of 3d point clouds,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:05.494192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.