Paper Citation Record · LEDGER

Point Transformer V3: Simpler, Faster, Stronger

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2312.10035.

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

pith.paper-citation-record.v1
2312.10035 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:47:27.024563Z

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

21
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 001e4ea0-f94a-4cea-9b79-29c57b5b800c · inbound

Technical Report for ICRA 2025 GOOSE 3D Semantic Segmentation Challenge: Adaptive Point Cloud Understanding for Heterogeneous Robotic Systems cites this paper.

Technical Report for ICRA 2025 GOOSE 3D Semantic Segmentation Challenge: Adaptive Point Cloud Understanding for Heterogeneous Robotic Systems Point Transformer V3: Simpler, Faster, Stronger

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:27.024563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf0eefd9-a651-4025-94dc-6f8ade4d5ab5 · inbound

Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning cites this paper.

Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning Point Transformer V3: Simpler, Faster, Stronger

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T22:26:50.857561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54610092-02b2-48e4-8574-c51646919b9f · inbound

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

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Point Transformer V3: Simpler, Faster, Stronger

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T15:27:12.768516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7ef367f-f922-4f51-beaf-dda04db20d0c · inbound

Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views cites this paper.

Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views Point Transformer V3: Simpler, Faster, Stronger

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-05T12:47:49.316035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 634f3363-9af5-4296-95bd-8d3d553dfa2f · inbound

SemanticBridge - A Dataset for 3D Semantic Segmentation of Bridges and Domain Gap Analysis cites this paper.

SemanticBridge - A Dataset for 3D Semantic Segmentation of Bridges and Domain Gap Analysis Point Transformer V3: Simpler, Faster, Stronger

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:51:17.704844Z

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.

Observation 636429cc-f28e-413a-8352-75e6f06ebe42 · inbound

GaussianGPT: Towards Autoregressive 3D Gaussian Scene Generation cites this paper.

GaussianGPT: Towards Autoregressive 3D Gaussian Scene Generation Point Transformer V3: Simpler, Faster, Stronger

Reference 67

Resolution: unresolved; no resolver link, observed 2026-07-13T17:23:44.758186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef428291-a67a-42f6-b8b1-f07e95db339b · inbound

From 3D Perception to Safety Reasoning: A Graph-Based Framework for Real-Time Underground Mine Monitoring cites this paper.

From 3D Perception to Safety Reasoning: A Graph-Based Framework for Real-Time Underground Mine Monitoring Point Transformer V3: Simpler, Faster, Stronger

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:46:27.766539Z

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.

Observation e35b5bba-fa7c-4351-bc43-659d4fc34d15 · inbound

Heterogeneous and Adept Snapshot Distillation for 3D Semantic Segmentation cites this paper.

Heterogeneous and Adept Snapshot Distillation for 3D Semantic Segmentation Point Transformer V3: Simpler, Faster, Stronger

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:00:07.688507Z

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.

Observation 41fd6dc1-57d9-474b-868d-45e8bd654810 · inbound

FLORA: A deep learning approach to predict forest attributes from heterogeneous LiDAR data cites this paper.

FLORA: A deep learning approach to predict forest attributes from heterogeneous LiDAR data Point Transformer V3: Simpler, Faster, Stronger

Reference 167

Resolution: verified exact; arxiv_id, observed 2026-07-01T05:35:25.043458Z

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.

Observation 462e264a-f619-4c28-83c9-c800ac4253a0 · inbound

Proteus: A Truncation-Robust Entropy Model for Progressive LiDAR Compression cites this paper.

Proteus: A Truncation-Robust Entropy Model for Progressive LiDAR Compression Point Transformer V3: Simpler, Faster, Stronger

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-05T00:38:27.984133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.