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Paper Citation Record · LEDGER

KPConv: Flexible and Deformable Convolution for Point Clouds

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1904.08889.

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

pith.paper-citation-record.v1
1904.08889 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:21:15.604689Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 91fbf514-a013-44f7-b52d-60c84f980be4 · inbound

A review on deep learning techniques for 3D sensed data classification cites this paper.

A review on deep learning techniques for 3D sensed data classification KPConv: Flexible and Deformable Convolution for Point Clouds

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-05-25T00:45:09.173337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T00:44:04.423996Z digest=sha256:977dab27ca85e644a0919c3478518d7bfee46792d3f66a5783820132653feff9

Observation 0f0c423a-4e7c-4f16-87b7-9f8b574b5639 · inbound

LeAP: Consistent multi-domain 3D labeling using Foundation Models cites this paper.

LeAP: Consistent multi-domain 3D labeling using Foundation Models KPConv: Flexible and Deformable Convolution for Point Clouds

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-09T00:21:15.604689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:21:15.604689Z digest=sha256:e617f511aead613b6ae5b75bbf246849f62d00de502d32885d257bd5e9a95aef

Observation 4f7e6226-1abe-4f03-b667-0d64bd694579 · inbound

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation cites this paper.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation KPConv: Flexible and Deformable Convolution for Point Clouds

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T15:27:12.686618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:27:12.686618Z digest=sha256:11f491280faebf1b69f60252636419c6f49710853d41f81e4ae0618a058cbc11

Observation 01eeef87-14bc-43fb-b611-6c1a3560d16b · inbound

From Spherical to Gaussian: A Comparative Analysis of Point Cloud Cropping Strategies in Large-Scale 3D Environments cites this paper.

From Spherical to Gaussian: A Comparative Analysis of Point Cloud Cropping Strategies in Large-Scale 3D Environments KPConv: Flexible and Deformable Convolution for Point Clouds

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-08T19:24:04.926945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T19:15:57.936114Z digest=sha256:a9107be3be772b5dab213d70e4007997c7e0bbdf163fbbb75cc4e9e818014e70

Observation 7e5c27fb-9d5b-457d-af32-763ac7f97eb1 · inbound

From Spherical to Gaussian: A Comparative Analysis of Point Cloud Cropping Strategies in Large-Scale 3D Environments cites this paper.

From Spherical to Gaussian: A Comparative Analysis of Point Cloud Cropping Strategies in Large-Scale 3D Environments KPConv: Flexible and Deformable Convolution for Point Clouds

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:51:21.519309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T09:50:31.499822Z digest=sha256:c6024e33cd66aa87bee7ea020dfe32e210141db559e7c557c39946b97baac620