Paper Citation Record · LEDGER

PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2206.04670.

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

pith.paper-citation-record.v1
2206.04670 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:04:18.684320Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:46:59.167585Z

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 49e0be5d-7083-4849-87c0-870de13b82c7 · inbound

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention cites this paper.

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

Reference 216

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:07:42.480847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d72dcb6c-0871-4c8f-9484-5cd3c1700e8d · inbound

INRet: A General Framework for Accurate Retrieval of INRs for Shapes cites this paper.

INRet: A General Framework for Accurate Retrieval of INRs for Shapes PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T14:04:18.684320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1410d4b-fdf4-4dd5-b444-bd9a2c04f88b · inbound

3PoinTr: 3D Point Tracks for Learning Manipulation from Unconstrained Human Videos cites this paper.

3PoinTr: 3D Point Tracks for Learning Manipulation from Unconstrained Human Videos PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-15T12:36:50.019492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b97e1dc-4999-4bdd-8f4d-e837c65689b0 · 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 PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:00:34.666836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3f0c276b-bbf6-4907-8bd1-159616398684 · 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 PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:51:21.633338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9285bfc8-5a28-47bd-9bb1-6c2fe2e1777e · inbound

RadiusFPS: Efficient Farthest Point Sampling on CPUs and GPUs via Spherical Voxel Pruning cites this paper.

RadiusFPS: Efficient Farthest Point Sampling on CPUs and GPUs via Spherical Voxel Pruning PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:46:59.169496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.