Paper Citation Record · LEDGER

PointConv: Deep Convolutional Networks on 3D Point Clouds

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1811.07246.

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

pith.paper-citation-record.v1
1811.07246 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:00:01.633209Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

103
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 38bc305d-6474-414d-a162-6b9f692214e7 · inbound

Improving the Transferability of 3D Point Cloud Attack via Spectral-aware Admix and Optimization Designs cites this paper.

Improving the Transferability of 3D Point Cloud Attack via Spectral-aware Admix and Optimization Designs PointConv: Deep Convolutional Networks on 3D Point Clouds

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T14:00:01.633209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 666672ba-af33-4b69-9d57-b50170379067 · inbound

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

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation PointConv: Deep Convolutional Networks on 3D Point Clouds

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T15:27:12.690543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a81b9cb1-6aa6-445e-bf34-0de55ae360aa · inbound

Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference cites this paper.

Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference PointConv: Deep Convolutional Networks on 3D Point Clouds

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-05T12:19:11.858142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d767d2fb-8d6e-455f-889a-2b86b123091f · inbound

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis cites this paper.

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis PointConv: Deep Convolutional Networks on 3D Point Clouds

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-05T11:11:44.937614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9a027c9-25ec-47b9-af43-a8161c10568a · 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 PointConv: Deep Convolutional Networks on 3D Point Clouds

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:00:33.776554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6566bdd3-ca6b-478b-88e7-c38976e4a675 · 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 PointConv: Deep Convolutional Networks on 3D Point Clouds

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:51:21.645771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 26ad1551-f55b-4c5d-908b-4b748f787e7f · inbound

Learning Representations from 3D Gaussian Splats cites this paper.

Learning Representations from 3D Gaussian Splats PointConv: Deep Convolutional Networks on 3D Point Clouds

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:43:15.404906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 88c74f98-1457-4580-aec4-cd9eb316896c · inbound

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems cites this paper.

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems PointConv: Deep Convolutional Networks on 3D Point Clouds

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-06-27T17:11:05.555740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.