Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multi-Modal Data Fusion in Enhancing Human-Machine Interaction for Robotic Applications: A Survey
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.07732.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:08:24.345187Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T11:16:08.047962Z
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 b5dc09ff-e1c8-475c-abb7-ba15d225684e · inbound
Robust Dynamic Gesture Recognition at Ultra-Long Distances cites this paper.
Robust Dynamic Gesture Recognition at Ultra-Long Distances Multi-Modal Data Fusion in Enhancing Human-Machine Interaction for Robotic Applications: A Survey
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T11:16:08.060443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7ad4cf55-807f-413f-885a-2a0444b3087a · inbound
A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction cites this paper.
A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Multi-Modal Data Fusion in Enhancing Human-Machine Interaction for Robotic Applications: A Survey
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:08:24.345187Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.