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 4 inbound Pith citation observations for arXiv:2504.14151.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-11T23:56:52.009530Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T05:54:18.321454Z
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 d6cd4a3f-14d5-4a89-98c9-0706961c55be · inbound
Memory Over Maps: 3D Object Localization Without Reconstruction Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5fb9d85a-f6cb-47cf-a8e3-3cc8e247e15d · inbound
RGB-Pointmap Pretraining for Unified 3D Scene Understanding Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c85c768d-6338-4bc5-a590-a5d43c7e8140 · inbound
Open-Vocabulary and Referring Segmentation for 3D Gaussians Using 2D Detectors Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a0e79cc5-f833-4f3d-98fe-fe58c9fc55c4 · inbound
G$^2$TAM: Geometry Grounded Track Anything Model Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.