Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2007.10985.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T00:21:15.650253Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T15:27:12.964278Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 675af4aa-bab6-454c-8f8d-151138d5df21 · inbound
LeAP: Consistent multi-domain 3D labeling using Foundation Models PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04a6fd8d-66ad-43f0-aea2-7fe6976462d8 · inbound
A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Reference 64
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7b82c8c-2344-4a70-801b-f8d199b8e552 · inbound
Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Reference 51
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 4e45d22f-ecf9-4504-89fa-324e782c5ef7 · inbound
Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df79069c-8c4f-47cb-8e79-3c5a53f7042b · inbound
ED-DiT: Physics-Guided Diffusion Pretraining for Transferable Molecular Representations from Electron Density PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.