Paper Citation Record · LEDGER

General-Purpose Aerial Intelligent Agents Empowered by Large Language Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.08302.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2503.08302 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:03:27.863940Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-16T23:21:21.297199Z

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 3fac5263-9398-43aa-a83a-6f37bc5cb819 · inbound

UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs cites this paper.

UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs General-Purpose Aerial Intelligent Agents Empowered by Large Language Models

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:57.195928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 054d7745-c1d6-475f-918d-c1a9fe6220e8 · inbound

Efficient Onboard Vision-Language Inference in UAV-Enabled Low-Altitude Economy Networks via LLM-Enhanced Optimization cites this paper.

Efficient Onboard Vision-Language Inference in UAV-Enabled Low-Altitude Economy Networks via LLM-Enhanced Optimization General-Purpose Aerial Intelligent Agents Empowered by Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T10:37:24.041535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e458c66-affe-498c-927b-5f4e2fcb8bfe · inbound

LEO-RobotAgent: A General-purpose Robotic Agent for Language-driven Embodied Operator cites this paper.

LEO-RobotAgent: A General-purpose Robotic Agent for Language-driven Embodied Operator General-Purpose Aerial Intelligent Agents Empowered by Large Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:21:21.300399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0d9b1b1b-a8cd-47e5-82f0-9b007c7fed08 · inbound

A Universal Large Language Model -- Drone Command and Control Interface cites this paper.

A Universal Large Language Model -- Drone Command and Control Interface General-Purpose Aerial Intelligent Agents Empowered by Large Language Models

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-16T11:47:49.412683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eb972163-d1a7-485a-9fb3-98d9d90546ee · inbound

Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap cites this paper.

Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap General-Purpose Aerial Intelligent Agents Empowered by Large Language Models

Reference 182

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:10:29.840374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 14f5b3ae-5bf8-4594-88c7-5e54788cce3c · inbound

From Semantic Grounding to Decision Optimization: A Unified Framework for Long-Horizon UAV Vision-Language Navigation cites this paper.

From Semantic Grounding to Decision Optimization: A Unified Framework for Long-Horizon UAV Vision-Language Navigation General-Purpose Aerial Intelligent Agents Empowered by Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T15:03:27.863940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.