Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Foundational Models for 3D Point Clouds: A Survey and Outlook
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2501.18594.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T06:42:45.558324Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T22:54:01.275994Z
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 1546e849-d941-4bfb-b0dd-51e0b67025ea · inbound
C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion cites this paper.
C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Foundational Models for 3D Point Clouds: A Survey and Outlook
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T08:32:51.680468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6c619908-0f0d-4af6-96a4-8251ef3ea15a · inbound
Discretizing Group-Convolutional Neural Networks for 3D Geometry in Feature Space cites this paper.
Discretizing Group-Convolutional Neural Networks for 3D Geometry in Feature Space Foundational Models for 3D Point Clouds: A Survey and Outlook
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T15:57:49.365985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 62c0f79f-3ac6-4cbd-8f70-b94359546e27 · inbound
Resolving Long-Tail Ambiguity in Unsupervised 3D Point Cloud Segmentation with Language Priors cites this paper.
Resolving Long-Tail Ambiguity in Unsupervised 3D Point Cloud Segmentation with Language Priors Foundational Models for 3D Point Clouds: A Survey and Outlook
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T04:53:58.053468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6f19c1d6-2b2d-45c2-bb93-beb760a76afb · inbound
Pantheon360: Taming Digital Twin Generation via 3D-Aware 360{\deg} Video Diffusion cites this paper.
Pantheon360: Taming Digital Twin Generation via 3D-Aware 360{\deg} Video Diffusion Foundational Models for 3D Point Clouds: A Survey and Outlook
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T22:54:01.277496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 18b2e2e1-2824-43e5-a7cd-9cdbe6c006c3 · inbound
GReFEM: Multimodal LLMs as Zero-Shot Semantic Assistants for Physics-Guided 3D Mesh Refinement cites this paper.
GReFEM: Multimodal LLMs as Zero-Shot Semantic Assistants for Physics-Guided 3D Mesh Refinement Foundational Models for 3D Point Clouds: A Survey and Outlook
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T06:42:45.558324Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.