Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MaskBEV: Towards A Unified Framework for BEV Detection and Map Segmentation
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.09122.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T14:12:37.207184Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T14:37:03.155602Z
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 2c4adc3e-3340-40ef-86d4-a2e6890ef99b · inbound
Co-Win: Joint Object Detection and Instance Segmentation in LiDAR Point Clouds via Collaborative Window Processing cites this paper.
Co-Win: Joint Object Detection and Instance Segmentation in LiDAR Point Clouds via Collaborative Window Processing MaskBEV: Towards A Unified Framework for BEV Detection and Map Segmentation
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:12:37.207184Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 677bc8c8-44d6-446f-aa63-9454f142911e · inbound
GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception cites this paper.
GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception MaskBEV: Towards A Unified Framework for BEV Detection and Map Segmentation
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T14:37:03.157692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.