Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.04802.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:44:46.117069Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T12:23:57.148394Z
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 379a5f02-c3ae-48d9-b342-f2464e3d811c · inbound
GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos cites this paper.
GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:44:46.117069Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f770a009-d2d9-46db-bf33-797f6c29f3b4 · inbound
Category-Level 6D Object Pose Estimation in Agricultural Settings Using a Lattice-Deformation Framework and Diffusion-Augmented Synthetic Data cites this paper.
Category-Level 6D Object Pose Estimation in Agricultural Settings Using a Lattice-Deformation Framework and Diffusion-Augmented Synthetic Data NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T12:23:57.214177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.