Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.07548.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:58:19.440431Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T03:09:30.254068Z
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 8b6c5831-4f57-4aa1-81a7-539037f40a5d · inbound
3D Can Be Explored In 2D: Pseudo-Label Generation for LiDAR Point Clouds Using Sensor-Intensity-Based 2D Semantic Segmentation cites this paper.
3D Can Be Explored In 2D: Pseudo-Label Generation for LiDAR Point Clouds Using Sensor-Intensity-Based 2D Semantic Segmentation Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:58:19.440431Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52324e7b-c961-4779-9506-79c2c53f3e24 · inbound
TimeProVe: Propose, then Verify for Efficient Long Video Temporal Reasoning in Activities of Daily Living cites this paper.
TimeProVe: Propose, then Verify for Efficient Long Video Temporal Reasoning in Activities of Daily Living Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
Reference 99
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T03:09:30.256033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.