Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Foundation Models for 3D Vision: How Close Are We?
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.10799.
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 2026-08-06T15:38:58.191736Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T08:40:33.031888Z
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 4959c0de-f4e5-47d7-9320-bf7ab0845816 · inbound
Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models cites this paper.
Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models Towards Foundation Models for 3D Vision: How Close Are We?
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:40:33.034803Z
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 cdce873d-4773-4311-9e8b-469dbc993f02 · inbound
BenchDepth: Are We on the Right Way to Evaluate Depth Foundation Models? cites this paper.
BenchDepth: Are We on the Right Way to Evaluate Depth Foundation Models? Towards Foundation Models for 3D Vision: How Close Are We?
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:38:58.191736Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b2e77df-b49b-4458-a739-3b81af41b5f4 · inbound
Zero-shot World Models Are Developmentally Efficient Learners cites this paper.
Zero-shot World Models Are Developmentally Efficient Learners Towards Foundation Models for 3D Vision: How Close Are We?
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:16:08.350704Z
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.