Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Conversational Language Models for Human-in-the-Loop Multi-Robot Coordination
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.19166.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-23T04:32:05.138744Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T04:32:32.118077Z
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 14d2a3b5-b49b-4705-96f3-cf50a38e13ed · inbound
Large Language Models for Multi-Robot Systems: A Survey cites this paper.
Large Language Models for Multi-Robot Systems: A Survey Conversational Language Models for Human-in-the-Loop Multi-Robot Coordination
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:32:32.121220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bed03b1c-614f-4964-8d32-19334486c30b · inbound
Adaptive Obstacle-Aware Task Assignment and Planning for Heterogeneous Robot Teaming cites this paper.
Adaptive Obstacle-Aware Task Assignment and Planning for Heterogeneous Robot Teaming Conversational Language Models for Human-in-the-Loop Multi-Robot Coordination
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T06:41:00.553060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f377714a-2843-47ca-9f8e-3670b89bf92f · inbound
Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.
Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory Conversational Language Models for Human-in-the-Loop Multi-Robot Coordination
Reference 287
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T23:13:15.996890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.