Paper Citation Record · LEDGER

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging

As of 19 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2505.04485.

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

pith.paper-citation-record.v1
2505.04485 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:33:36.839840Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

43 of 43 outbound references displayed

verified exact2
verified fuzzy22
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 99290112-1bfe-4e12-aac6-117c4885ef65 · outbound

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

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Kpconv: Flexible and deformable convolution for point clouds,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:38.190895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 47d4bbd3-c6f8-4888-8f37-b7c6de5dbc17 · outbound

This paper cites GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:36.399109Z

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Observation 28042bfc-a3b5-40eb-ba4d-8c02f6c28f5a · outbound

This paper cites Regtr: End-to-end point cloud correspon- dences with transformers,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Regtr: End-to-end point cloud correspon- dences with transformers,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:38.176829Z

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Observation 3a945d7f-1822-4d84-aaa1-0e85c8d33388 · outbound

This paper cites A Strong Baseline for Point Cloud Registration via Direct Superpoints Matching.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging A Strong Baseline for Point Cloud Registration via Direct Superpoints Matching

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:33:37.094830Z

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Observation 7612c952-9a45-48da-be96-9d1a5d7efacd · outbound

This paper cites ObPose: Leveraging Pose for Object-Centric Scene Inference and Generation in 3D.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging ObPose: Leveraging Pose for Object-Centric Scene Inference and Generation in 3D

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:33:37.007877Z

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Observation 013a0c59-e014-4504-869b-cfaa6fca7ba8 · outbound

This paper cites Geotransformer: Fast and robust point cloud registration with geometric transformer,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Geotransformer: Fast and robust point cloud registration with geometric transformer,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:36.418089Z

Source-reported events for the cited work

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Observation c021dab6-9ffc-47ad-a91a-b1d8277ea945 · outbound

This paper cites Advancements in point cloud data augmentation for deep learning: A survey,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Advancements in point cloud data augmentation for deep learning: A survey,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:38.153344Z

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Observation 6b927ba0-09c6-495c-bea0-453650a11bc1 · outbound

This paper cites Frame Averaging for Invariant and Equivariant Network Design.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Frame Averaging for Invariant and Equivariant Network Design

Reference 8

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Observation b0bc43bd-cfa4-454f-82ea-d8cc4dc30292 · outbound

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

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:36.431732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebd0a680-cfaf-4095-83fa-c0ecee38541a · outbound

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

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:36.435751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08968109-9da5-4110-9bb0-9c14cd2eadce · outbound

This paper cites Pointnext: Revisiting pointnet++ with improved training and scaling strategies,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Pointnext: Revisiting pointnet++ with improved training and scaling strategies,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:36.440204Z

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Unavailable: canonical work link unavailable.

Observation fcd23767-5233-4085-9c00-4d41e2f12556 · outbound

This paper cites Spidercnn: Deep learning on point sets with parameterized convolutional filters,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Spidercnn: Deep learning on point sets with parameterized convolutional filters,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:38.078854Z

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Observation ea261a5d-8a9a-43d5-939d-091850d3b91f · outbound

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

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Pointcnn: Convolution on x-transformed points,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:38.064546Z

Source-reported events for the cited work

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Observation 1d32c648-0fc2-4588-98e9-932af64e6b74 · outbound

This paper cites Paconv: Position adaptive convolution with dynamic kernel assembling on point clouds,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Paconv: Position adaptive convolution with dynamic kernel assembling on point clouds,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:38.050286Z

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Observation 5d4de51e-ea8e-443a-8ee0-07ff5ce995c6 · outbound

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

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Pointconv: Deep convolutional networks on 3d point clouds,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:38.035082Z

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Observation 28f0c576-1ddd-44c5-9a9c-111ee694e040 · outbound

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

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Dynamic graph cnn for learning on point clouds,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:36.459266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddf3683f-155a-454e-a214-83c2c336eec7 · outbound

This paper cites Dynamic edge-conditioned filters in convolutional neural networks on graphs,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Dynamic edge-conditioned filters in convolutional neural networks on graphs,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:37.994175Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1c4c54fa-048f-4c4a-b6fc-6e7c58de5e53 · outbound

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

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Adaptive graph convolution for point cloud analysis,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:37.902885Z

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Observation 74510394-20a9-42eb-9095-8b1a00fd014b · outbound

This paper cites Pct: Point cloud transformer,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Pct: Point cloud transformer,

Reference 19

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Source-reported events for the cited work

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Observation 60a6cdc9-2330-45dc-8ad9-276853a8aec3 · outbound

This paper cites Point transformer,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Point transformer,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:37.826666Z

Source-reported events for the cited work

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Observation b2362dfc-7210-4a24-9b9c-a8d30e5977e0 · outbound

This paper cites Point transformer v2: Grouped vector attention and partition-based pooling,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Point transformer v2: Grouped vector attention and partition-based pooling,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:36.653841Z

Source-reported events for the cited work

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Observation 35b535e9-22d6-4d88-866d-33c8f8b3dfa5 · outbound

This paper cites Point transformer v3: Simpler faster stronger,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Point transformer v3: Simpler faster stronger,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:36.748900Z

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Unavailable: canonical work link unavailable.

Observation c1df4948-1612-4e51-ace5-2c4f6731c856 · outbound

This paper cites Point-bert: Pre-training 3d point cloud transformers with masked point modeling,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Point-bert: Pre-training 3d point cloud transformers with masked point modeling,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:37.794384Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 639975b9-1433-415f-9c65-8be655de38ce · outbound

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

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Masked autoencoders for point cloud self-supervised learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:37.779632Z

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Observation 225985a8-0958-45a4-890b-d279e8236395 · outbound

This paper cites Point-m2ae: multi-scale masked autoencoders for hierarchical point cloud pre-training,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Point-m2ae: multi-scale masked autoencoders for hierarchical point cloud pre-training,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:37.765899Z

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Observation 22e1680d-7ef8-415d-b2e9-dc91a8bde21f · outbound

This paper cites Spatial transformer networks,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Spatial transformer networks,

Reference 26

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Source-reported events for the cited work

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Observation 75f56599-41d1-4cc2-8f9f-b8366d997d3c · outbound

This paper cites Geometric invariance of pointnet,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Geometric invariance of pointnet,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:37.741068Z

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Observation 3c6856ce-d7d5-46f5-9c21-04399e1f3976 · outbound

This paper cites Group equivariant convolutional networks,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Group equivariant convolutional networks,

Reference 28

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Observation 7d436449-9ec6-4549-b437-bf46e0733087 · outbound

This paper cites Steerable CNNs.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Steerable CNNs

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:36.777071Z

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Unavailable: canonical work link unavailable.

Observation d04aa42a-9bd2-4bf0-ae36-901d4d47a23f · outbound

This paper cites Spherical CNNs.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Spherical CNNs

Reference 30

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Source-reported events for the cited work

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Observation 59e32de4-9ce3-4c33-8de4-705194ac1812 · outbound

This paper cites Equivariant point network for 3d point cloud analysis,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Equivariant point network for 3d point cloud analysis,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:37.714831Z

Source-reported events for the cited work

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Observation bb197157-099e-46cd-9a52-2cebb41d5499 · outbound

This paper cites Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 32

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Observation daae257e-3ec4-48ac-b24c-8b4c9ab7a40c · outbound

This paper cites Se (3)-transformers: 3d roto-translation equivariant attention networks,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Se (3)-transformers: 3d roto-translation equivariant attention networks,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:36.794527Z

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Observation 3351797d-d6a4-42cf-b5e1-abdd9b8a5f89 · outbound

This paper cites Clusternet: Deep hierarchical cluster network with rigorously rotation-invariant representation for point cloud analysis,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Clusternet: Deep hierarchical cluster network with rigorously rotation-invariant representation for point cloud analysis,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:37.688777Z

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Observation b0023d22-cb9c-4f9a-b97d-3894c931d195 · outbound

This paper cites Rotation invariant convolutions for 3d point clouds deep learning,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Rotation invariant convolutions for 3d point clouds deep learning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:37.673386Z

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Observation 41fc71b9-596a-410d-8887-bb1f4758a8c8 · outbound

This paper cites Ppfnet: Global context aware local features for robust 3d point matching,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Ppfnet: Global context aware local features for robust 3d point matching,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:37.659436Z

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Observation 80b0d811-80af-40a2-ad1c-7ba48da15640 · outbound

This paper cites Srinet: Learning strictly rotation-invariant representations for point cloud classification and segmentation,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Srinet: Learning strictly rotation-invariant representations for point cloud classification and segmentation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:37.588517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation feabfe59-496a-418a-8d84-77db7cd21952 · outbound

This paper cites Darboux frames, snakes, and super-quadrics: Geometry from the bottom up,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Darboux frames, snakes, and super-quadrics: Geometry from the bottom up,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:37.499852Z

Source-reported events for the cited work

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Observation ea6e2900-061c-428c-be2e-a94d95218943 · outbound

This paper cites E (n) equivariant graph neural networks,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging E (n) equivariant graph neural networks,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:37.349380Z

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Observation 8de7f606-416d-41ef-afaa-17aee42f6c06 · outbound

This paper cites Vector neurons: A general framework for so (3)-equivariant networks,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Vector neurons: A general framework for so (3)-equivariant networks,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:36.826815Z

Source-reported events for the cited work

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Observation f96642da-65f7-4f9b-88bb-60dbaa2aefa1 · outbound

This paper cites Boosting deep neural networks with geometrical prior knowledge: A survey,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Boosting deep neural networks with geometrical prior knowledge: A survey,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:33:37.285113Z

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Observation 79041599-7775-455f-9a8a-15a333ac0661 · outbound

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

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging 3d shapenets: A deep representation for volumetric shapes,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:36.835398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aab11beb-b9c9-4866-8434-77de8203deac · outbound

This paper cites 3dmatch: Learning local geometric descriptors from rgb-d reconstruc- tions,.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging 3dmatch: Learning local geometric descriptors from rgb-d reconstruc- tions,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T23:33:36.839840Z

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Unavailable: canonical work link unavailable.

Pith citing papers

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