Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.00693.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:31:10.259203Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T11:56:54.936111Z
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 757f796b-1597-41d6-99ab-3b88aeb50531 · inbound
Gaze-supported Large Language Model Framework for Bi-directional Human-Robot Interaction Leveraging Large Language Models in Human-Robot Interaction: A Critical Analysis of Potential and Pitfalls
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a79c31c5-3d29-4447-80fb-308a647f8d9f · inbound
When Large Language Models Meet UAV Projects: An Empirical Study from Developers' Perspective Leveraging Large Language Models in Human-Robot Interaction: A Critical Analysis of Potential and Pitfalls
Reference 65
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de45a080-e331-48cc-8793-67ce3e8e4c70 · inbound
Ablation Study of Multimodal Perception, Language Grounding, and Control for Human-Robot Interaction in an Object Detection and Grasping Task Leveraging Large Language Models in Human-Robot Interaction: A Critical Analysis of Potential and Pitfalls
Reference 19
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.
Observation fb759ae6-6001-4189-8d52-9de5faaae7d8 · inbound
From Technical Metrics to User Perception: A User Study of a Multimodal Human-Robot Interaction System for Object Detection and Grasping Leveraging Large Language Models in Human-Robot Interaction: A Critical Analysis of Potential and Pitfalls
Reference 19
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.
Observation 698d8843-2982-424c-97aa-d81d2e94b44f · inbound
Transforming Remanufacturing Automation with Large Language Models: A Forward-Looking Analysis with Case Studies Leveraging Large Language Models in Human-Robot Interaction: A Critical Analysis of Potential and Pitfalls
Reference 119
Source-reported events for the cited work
Unavailable: canonical work link unavailable.