Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2012.04934.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T13:14:13.918070Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T22:42:47.097947Z
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 9b8df38a-45df-4432-9e2a-b816bd12b633 · inbound
Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving cites this paper.
Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T13:14:13.918070Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27dd9f8f-de39-45ef-a258-907fceee255d · inbound
NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation cites this paper.
NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:27:55.371084Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0148bdb8-7cf3-4547-85e1-40a41e486b29 · inbound
QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction cites this paper.
QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:19:22.207125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d1f6ca7-4569-47cf-a67c-b588825c9394 · inbound
OmniLiDAR: A Unified Diffusion Framework for Multi-Domain 3D LiDAR Generation cites this paper.
OmniLiDAR: A Unified Diffusion Framework for Multi-Domain 3D LiDAR Generation AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:22:50.660560Z
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 e0c38081-ebc7-43a9-90b2-2bf8f7ea3d2f · inbound
Vanilla ViT for Automotive Point Cloud Semantic Segmentation cites this paper.
Vanilla ViT for Automotive Point Cloud Semantic Segmentation AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T22:42:47.099464Z
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.