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Paper Citation Record · LEDGER

A Universal Large Language Model -- Drone Command and Control Interface

As of 2 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2601.15486.

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

pith.paper-citation-record.v1
2601.15486 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T11:43:59.667539Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-02T06:30:47.504484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:35:12.765093Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

  • verified exact20
  • verified fuzzy31
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 302908c6-b155-43d4-bc24-cfbcfa86a2e9 · outbound

This paper cites Artificial intelligence applied to drone control: A state of the art.

A Universal Large Language Model -- Drone Command and Control Interface Artificial intelligence applied to drone control: A state of the art

Reference 1

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raw_fallback, observed 2026-05-16T11:47:50.574745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 33acef0e-7d7f-469a-9e46-95dea0e04c39 · outbound

This paper cites Champion-level drone racing using deep reinforcement learning.

A Universal Large Language Model -- Drone Command and Control Interface Champion-level drone racing using deep reinforcement learning

Reference 2

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raw_fallback, observed 2026-05-16T11:47:50.579914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:3e6467e051e241232ae2ac5c50f5aab1d4844a4e3409c3cf37c54eb82adc45af

Observation fee0fd5b-3eff-4832-a386-59051daaa497 · outbound

This paper cites Mavlink: Micro air vehicle communication protocol.

A Universal Large Language Model -- Drone Command and Control Interface Mavlink: Micro air vehicle communication protocol

Reference 3

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raw_fallback, observed 2026-05-16T11:50:53.281996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:4f1acc34abbed8727bced420452da72d8c1cddd222485037367122e8249de296

Observation 6de1184d-c831-4d54-9ed5-84f2b5281088 · outbound

This paper cites (2024) Model context protocol (mcp) specification.

A Universal Large Language Model -- Drone Command and Control Interface (2024) Model context protocol (mcp) specification

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:1502f99d4b85f8b68bdd94dfe7822c2b9dc548bc4208c1756cb054ec71d1cd62

Observation 99ef3457-2d68-41f4-81b6-8ce0b77824b2 · outbound

This paper cites Linux foundation announces the formation of the agentic AI foundation (AAIF), anchored by new project contributions including model context protocol (MCP), goose and AGENTS.md.

A Universal Large Language Model -- Drone Command and Control Interface Linux foundation announces the formation of the agentic AI foundation (AAIF), anchored by new project contributions including model context protocol (MCP), goose and AGENTS.md

Reference 5

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raw_fallback, observed 2026-05-16T11:50:53.310406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:95a325d2791b4a727bde6be54edcc90be77e397dcfbbc5231ba3d6eae077a37a

Observation 152a2e73-b8bf-41df-9336-ed70c3fe55f3 · outbound

This paper cites Robot builds a robot's brain: AI generated drone command and control station hosted in the sky.

A Universal Large Language Model -- Drone Command and Control Interface Robot builds a robot's brain: AI generated drone command and control station hosted in the sky

Reference 6

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arxiv_id, observed 2026-05-16T11:47:49.450026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:da9e60e618cb85489c9dca298ee4e10ee08425b9bf48339895209e902c77e13a

Observation 7c328f58-766f-4235-bc8f-352d00915414 · outbound

This paper cites Model context protocol python sdk.

A Universal Large Language Model -- Drone Command and Control Interface Model context protocol python sdk

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:5e923447d16a41aa8f805ada4ba540c7cc2e25c146881d821260d9ca9148d587

Observation b4e590d3-76d2-42db-a959-9f654c802e01 · outbound

This paper cites “cloudstation.

A Universal Large Language Model -- Drone Command and Control Interface “cloudstation

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:3d4288a6fe55f34a9cc5c1eff41c6feba19f0d2ffa8f3124e50194835e9bd49b

Observation 1a97f16e-6947-40ad-9ba9-f1f2797427e0 · outbound

This paper cites Drones from a to z: Experiential learning at its finest.

A Universal Large Language Model -- Drone Command and Control Interface Drones from a to z: Experiential learning at its finest

Reference 9

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arxiv_id, observed 2026-05-16T11:47:49.301272Z

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No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:58f07e6f6420e0c6d8bb5d65c1e68c109e482f854c4c60afcecbbecaacc72375

Observation dabdfc16-d8af-4aff-a002-031fc4d48eec · outbound

This paper cites mavlink-router.

A Universal Large Language Model -- Drone Command and Control Interface mavlink-router

Reference 10

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No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation f1a7d8b5-2260-480a-bfef-9f4e22f1a42e · outbound

This paper cites SITL Simulator (Software in the Loop).

A Universal Large Language Model -- Drone Command and Control Interface SITL Simulator (Software in the Loop)

Reference 11

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No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 13371e43-54a6-4162-8053-a7b9863af3cc · outbound

This paper cites A simulated, virtual drone for testing and development.

A Universal Large Language Model -- Drone Command and Control Interface A simulated, virtual drone for testing and development

Reference 12

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No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:73d850748262b3a273ea72a4719d8e3fdafcaa6c4174d33c363cde67408b96b5

Observation 4c3a540d-0ce4-4737-839e-6f181d3660bd · outbound

This paper cites Bachman and A.

A Universal Large Language Model -- Drone Command and Control Interface Bachman and A

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:0a250ee3084924da72f42b45bd2f6a4ff8df991dbd5f67ba8ee5ac7a05960a0e

Observation c49247ad-5ae5-49ca-ac27-de065e96b6c9 · outbound

This paper cites (2024, Nov) Code execution with MCP: building more efficient AI agents.

A Universal Large Language Model -- Drone Command and Control Interface (2024, Nov) Code execution with MCP: building more efficient AI agents

Reference 14

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raw_fallback, observed 2026-05-16T11:50:53.324394Z

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No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:9db47795d030766dcb9cd0898685ac1ed4652285678802fc49bd6d19dedaa7ab

Observation ba1e1c6f-ee61-452f-a5ce-444e0f6e276e · outbound

This paper cites Leveraging large language models and artificial intelligence for uavs in 6g-enabled non-terrestrial networks.

A Universal Large Language Model -- Drone Command and Control Interface Leveraging large language models and artificial intelligence for uavs in 6g-enabled non-terrestrial networks

Reference 15

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raw_fallback, observed 2026-05-16T11:50:53.282812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:18fd7bc3cff628d95cbd5b80ed6ac0b861a96e9f229079014af853881640f956

Observation 9363c148-31f1-4db5-8f30-5953af20c77c · outbound

This paper cites Multimodal Large Language Models-Enabled UAV Swarm: Towards Efficient and Intelligent Autonomous Aerial Systems.

A Universal Large Language Model -- Drone Command and Control Interface Multimodal Large Language Models-Enabled UAV Swarm: Towards Efficient and Intelligent Autonomous Aerial Systems

Reference 16

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arxiv_id, observed 2026-05-16T11:47:49.424558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:6bc17c5aa7834aea15c525bf42dae63b68528ab630f5808bec8a178c7605afb4

Observation cf32840d-1922-40e5-9e99-6415afa67d7a · outbound

This paper cites Artificial intelligence approaches for uav deconfliction: A comparative review and framework proposal.

A Universal Large Language Model -- Drone Command and Control Interface Artificial intelligence approaches for uav deconfliction: A comparative review and framework proposal

Reference 17

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No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:55416dcf8683f0eb739eb24ac469e36a4ad5a342652bcd4d24c659375dd98c09

Observation ea2f4925-eff6-4246-a34e-d3315d71d179 · outbound

This paper cites Ai-driven safety and security for uavs: From machine learning to large language models.

A Universal Large Language Model -- Drone Command and Control Interface Ai-driven safety and security for uavs: From machine learning to large language models

Reference 18

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No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:c31d542166be1f2c4dd816dc4a0bc18c8fb9cf27b451ac393ae2070d42cffa10

Observation f97d7ba1-bf8f-44b0-973c-36d5106011b8 · outbound

This paper cites Uavs meet llms: Overviews and perspectives towards agentic low-altitude mobility.

A Universal Large Language Model -- Drone Command and Control Interface Uavs meet llms: Overviews and perspectives towards agentic low-altitude mobility

Reference 19

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No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:422feb483d131b6d8b2b38dcb49b3c88414598e6731f1448ce4d63589a295591

Observation a7a13f95-b7f6-4381-a77b-6f6040e4ce7c · outbound

This paper cites Recent Advances in Transformer and Large Language Models for UAV Applications.

A Universal Large Language Model -- Drone Command and Control Interface Recent Advances in Transformer and Large Language Models for UAV Applications

Reference 20

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arxiv_id, observed 2026-07-15T01:21:46.513296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:0e9635d71a4d5a99bc3c09d52048af5963b08e1c5c86af637cfe04acae36aa25

Observation 6189e2a2-c1bc-4179-aac8-cb8d6a7bce21 · outbound

This paper cites When Large Language Models Meet UAV Projects: An Empirical Study from Developers' Perspective.

A Universal Large Language Model -- Drone Command and Control Interface When Large Language Models Meet UAV Projects: An Empirical Study from Developers' Perspective

Reference 21

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arxiv_id, observed 2026-06-02T03:04:34.321530Z

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No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:d5ea1cdba1150ef07210b7fcb61b9fad85f57534ddb2a11d38285bab415750c7

Observation 1baaced5-b2a6-4ad2-b263-27bfd6c0ee82 · outbound

This paper cites Llm-driven pareto-optimal multi- mode reinforcement learning for adaptive uav navigation in urban wind environments.

A Universal Large Language Model -- Drone Command and Control Interface Llm-driven pareto-optimal multi- mode reinforcement learning for adaptive uav navigation in urban wind environments

Reference 22

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No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:9145860052fd2f8428d1b732b23c6b1cf8cc1f93d0894d957277a72f9e144d21

Observation 4f8163f0-f7f1-4b15-b742-8a0182d1cec7 · outbound

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

A Universal Large Language Model -- Drone Command and Control Interface UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs

Reference 23

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arxiv_id, observed 2026-05-16T11:47:49.428654Z

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No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:e4d30b518a97da150a3bdfa852fa2e75116f60afca9014250bf87611addc42ec

Observation fcaa4d9e-b7ad-44f5-a4ec-454ce32f4a6b · outbound

This paper cites Uav leveraging genai/llms, a brief survey.

A Universal Large Language Model -- Drone Command and Control Interface Uav leveraging genai/llms, a brief survey

Reference 24

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No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:7863a1fb4ae560977fcd65f7be1aaef372ffe326045da4a74a78d403ee383476

Observation 270ceacb-e46d-4596-bdef-38b324dea7d1 · outbound

This paper cites LogisticsVLN: Vision-Language Navigation For Low-Altitude Terminal Delivery Based on Agentic UAVs.

A Universal Large Language Model -- Drone Command and Control Interface LogisticsVLN: Vision-Language Navigation For Low-Altitude Terminal Delivery Based on Agentic UAVs

Reference 25

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arxiv_id, observed 2026-05-16T11:47:49.432683Z

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No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:4dd7d774a0d6c07187a4a6c7e71b3d859b45a64827e9acc970167bbb535d5e44

Observation e8e6a667-ac3c-413a-b77a-dd26e75612d2 · outbound

This paper cites Next-generation llm for uav: From natural language to autonomous flight.

A Universal Large Language Model -- Drone Command and Control Interface Next-generation llm for uav: From natural language to autonomous flight

Reference 26

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arxiv_id, observed 2026-05-16T11:47:49.489285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:7131df55a77d386e9b6ab71b92bdd2eefa4016a258282d33b849ea7d897ac4e6

Observation bfae8e75-c8df-4c13-a772-b63696e83a72 · outbound

This paper cites Large language models for uavs: Current state and pathways to the future.

A Universal Large Language Model -- Drone Command and Control Interface Large language models for uavs: Current state and pathways to the future

Reference 27

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raw_fallback, observed 2026-05-16T11:50:53.322462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:53cfb8de753ff85d8291f8bf06492e57fae6d442d0aa8d7c779930c2f037e095

Observation 7d90fb01-7c78-4a1c-9ec5-dfc5a7ce2582 · outbound

This paper cites Aeroverse: Uav- agent benchmark suite for simulating, pre-training, finetuning, and evaluating aerospace embodied world models.

A Universal Large Language Model -- Drone Command and Control Interface Aeroverse: Uav- agent benchmark suite for simulating, pre-training, finetuning, and evaluating aerospace embodied world models

Reference 28

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arxiv_id, observed 2026-05-16T11:47:49.445638Z

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No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:b70a30ed200a63b7ae996930f9939dc60a4f779c33766b4df5c2adf969637466

Observation dd214e08-0e7d-47d9-8d0b-603dd405380a · outbound

This paper cites LLM-Agents Driven Automated Simulation Testing and Analysis of small Uncrewed Aerial Systems.

A Universal Large Language Model -- Drone Command and Control Interface LLM-Agents Driven Automated Simulation Testing and Analysis of small Uncrewed Aerial Systems

Reference 29

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arxiv_id, observed 2026-05-16T11:47:49.475902Z

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No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:432b278524388c3b310094f9b1f45c777d1791245a315eb081304b7146e5105b

Observation fd6b7b78-069f-4535-b2bc-eeec6997de5b · outbound

This paper cites Chat with uav– human-uav interaction based on large language models.

A Universal Large Language Model -- Drone Command and Control Interface Chat with uav– human-uav interaction based on large language models

Reference 30

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arxiv_id, observed 2026-05-16T11:47:49.457672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:c455dc590a1ab8c351cea81dbe08331cca6922a3e63b68904b40d0dcc1a13b85

Observation 291af3a7-84df-4939-9ad4-8be15a637244 · outbound

This paper cites Context-aware autonomous drone navigation using large language models (llms).

A Universal Large Language Model -- Drone Command and Control Interface Context-aware autonomous drone navigation using large language models (llms)

Reference 31

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raw_fallback, observed 2026-05-16T11:50:53.320432Z

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No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:f90902ae7e8a9de627981dbe604c1a91bb958c84e5b06d8a5c5c7d219c1f0a99

Observation e8c97a6f-7622-4d34-b6c3-defaa2454533 · outbound

This paper cites Swarmchain: Collaborative llm inference for uav swarm control.

A Universal Large Language Model -- Drone Command and Control Interface Swarmchain: Collaborative llm inference for uav swarm control

Reference 32

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raw_fallback, observed 2026-05-16T11:50:53.301495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:3a2df3fa7348fae012dd2110a7d86a93bb535ef33409c09a356b5a74f5831b6a

Observation 2be0dc7d-826f-48de-989b-198fd499a03d · outbound

This paper cites Swarmchat: An llm-based, context-aware multimodal interaction system for robotic swarms.

A Universal Large Language Model -- Drone Command and Control Interface Swarmchat: An llm-based, context-aware multimodal interaction system for robotic swarms

Reference 33

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raw_fallback, observed 2026-05-16T11:50:53.299279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:3d0337ad6256ce3ce0528b87404494000f0e663807ecea920567c2740bd00a9c

Observation ac73a5bd-f6a5-4f7f-ba5e-e0e53a103d26 · outbound

This paper cites Swarmgpt: Combining large language models with safe motion planning for drone swarm choreography.

A Universal Large Language Model -- Drone Command and Control Interface Swarmgpt: Combining large language models with safe motion planning for drone swarm choreography

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T11:50:53.316635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:8fc17186168c6e1c46bfc5c4f8f20772b099e9a50bc3a2f79ccf5c2dc05c16f0

Observation 2a0b6048-a054-403f-8035-9d063a4ba3a6 · outbound

This paper cites A Framework Leveraging Large Language Models for Autonomous UAV Control in Flying Networks.

A Universal Large Language Model -- Drone Command and Control Interface A Framework Leveraging Large Language Models for Autonomous UAV Control in Flying Networks

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:47:49.437066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:bccf9ce8c4bd364ec963487d646b2f1ea217dbba51f25fc218ae562800eb4d27

Observation 6189eda6-133e-4489-8fe8-a159b930e3d7 · outbound

This paper cites AERMANI-VLM: Structured Prompting and Reasoning for Aerial Manipulation with Vision Language Models.

A Universal Large Language Model -- Drone Command and Control Interface AERMANI-VLM: Structured Prompting and Reasoning for Aerial Manipulation with Vision Language Models

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-06-30T02:16:10.864058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:b2d724123c1b2ee3cec89de72eaa6f968115f19ceb9ed86cd901fd6820cd2393

Observation 13b90a77-12d6-4e21-90a3-bf06f358b215 · outbound

This paper cites Agentic UA Vs: Llm-driven autonomy with integrated tool-calling and cognitive reason- ing.

A Universal Large Language Model -- Drone Command and Control Interface Agentic UA Vs: Llm-driven autonomy with integrated tool-calling and cognitive reason- ing

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:47:49.467136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:cb1fe349529bad455bd6b1d04596763dff19fcd25d8f63feb718d611269db67b

Observation 2cdf2fbe-6159-484e-ab81-f04b830915e3 · outbound

This paper cites Taking Flight with Dialogue: Enabling Natural Language Control for PX4-based Drone Agent.

A Universal Large Language Model -- Drone Command and Control Interface Taking Flight with Dialogue: Enabling Natural Language Control for PX4-based Drone Agent

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:47:49.453897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:b8afa6b16da04bc42044d24a04fcd00cc9ca27d158e94a9a6baaff67ac89f162

Observation 0a2c5cf6-72f5-4df5-af87-8c7124ec6247 · outbound

This paper cites Autonomous Navigation of Cloud-Controlled Quadcopters in Confined Spaces Using Multi-Modal Perception and LLM-Driven High Semantic Reasoning.

A Universal Large Language Model -- Drone Command and Control Interface Autonomous Navigation of Cloud-Controlled Quadcopters in Confined Spaces Using Multi-Modal Perception and LLM-Driven High Semantic Reasoning

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:47:49.484675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:4e9c708f200906d72d95a5119adb6ff28c7b6869ef51801259e84423a06b6a31

Observation 61d690f9-5e76-48d1-91f5-ee8b60b8432e · outbound

This paper cites Leveraging large language models for real-time uav control.

A Universal Large Language Model -- Drone Command and Control Interface Leveraging large language models for real-time uav control

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T11:50:53.318543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:ba9ce2edf63c0f5b6c078e67b06c04bd77c46ac443b72f13efc509b4c262e09e

Observation 87cda5fc-b477-469f-ad7e-3a33b416aa65 · outbound

This paper cites TypeFly: Flying Drones with Large Language Model.

A Universal Large Language Model -- Drone Command and Control Interface TypeFly: Flying Drones with Large Language Model

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:47:49.462383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:8b0180100b2de5c00fe05701115561a0d871072a95c49af81ec7d65c743421aa

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

This paper cites General-Purpose Aerial Intelligent Agents Empowered by Large Language Models.

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:7f586c0301d47b12ee9167d9a129e3fdb16cab3d0f55581d5cbbd26f81b3a666

Observation 50e617dc-b41f-4dfb-8c47-c76bc9670b50 · outbound

This paper cites Cognitive Guardrails for Open-World Decision Making in Autonomous Drone Swarms.

A Universal Large Language Model -- Drone Command and Control Interface Cognitive Guardrails for Open-World Decision Making in Autonomous Drone Swarms

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:47:49.471443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:4956b9044149f2df231683ff3c7fed20b515e27195c8481bbcb2fafb103646ca

Observation 1eabc11f-f198-4739-9e7f-4e7d23da8dbf · outbound

This paper cites Beyond Visual Line of Sight: UAVs with Edge AI, Connected LLMs, and VR for Autonomous Aerial Intelligence.

A Universal Large Language Model -- Drone Command and Control Interface Beyond Visual Line of Sight: UAVs with Edge AI, Connected LLMs, and VR for Autonomous Aerial Intelligence

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:47:49.441181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:3d96c75e06c9fbf0dab1510422145a4d0f1db45ad59b75241232ce7e611ffa3f

Observation e9bedfdc-8b5c-4184-9ff2-79cadc894147 · outbound

This paper cites Ai-driven uav and iot traffic optimization: Large language models for congestion and emission reduction in smart cities.

A Universal Large Language Model -- Drone Command and Control Interface Ai-driven uav and iot traffic optimization: Large language models for congestion and emission reduction in smart cities

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T11:50:53.284888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:e1b9b329c4feeb87a5ca6041b1cf1b20af4923106894e81fa4a2c671e4eb40a0

Observation 20aef225-545c-4108-999c-65e9a1a6fab2 · outbound

This paper cites Llm-daas: Llm-driven drone- as-a-service operations from text user requests.

A Universal Large Language Model -- Drone Command and Control Interface Llm-daas: Llm-driven drone- as-a-service operations from text user requests

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T11:50:53.293185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:0651cfb02f9b9d16f567e4dbc5768c994b943eadd8381e0d5dff88981b10f572

Observation e6e9c01f-043f-49ca-83a8-2b2151648409 · outbound

This paper cites Llm-guided hybrid architecture for autonomous fire response: Dialog-driven planning in space and disaster missions.

A Universal Large Language Model -- Drone Command and Control Interface Llm-guided hybrid architecture for autonomous fire response: Dialog-driven planning in space and disaster missions

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T11:50:53.276527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:166a9e60e04abce943b3e5c9aafd6f7eddde6100be092cdc91dbcc915aa5b796

Observation a415a9b2-26d9-4358-aa8c-e2154a72c266 · outbound

This paper cites Llm-ql: a llm- enhanced q-learning approach for scheduling multiple parallel drones.

A Universal Large Language Model -- Drone Command and Control Interface Llm-ql: a llm- enhanced q-learning approach for scheduling multiple parallel drones

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T11:50:53.287112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:973431719cb5b9453c1cf27488a27f8aa922d46a798c0a941c86b76b0ac3dad3

Observation 5576e810-26b9-4b78-a6f4-c2a751d5d2f3 · outbound

This paper cites Chatfly: Low-latency drone planning with large language models.

A Universal Large Language Model -- Drone Command and Control Interface Chatfly: Low-latency drone planning with large language models

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T11:50:53.312581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:f5e05d1ccfa729e55aa381d02833e0e906bcc219f20ddf476395f4be2bd8c2b5

Observation 4d73c442-b4cb-44fc-8c1f-4a8baa893c5e · outbound

This paper cites From words to flight: Integrating openai chatgpt with px4/gazebo for natural language-based drone con- trol.

A Universal Large Language Model -- Drone Command and Control Interface From words to flight: Integrating openai chatgpt with px4/gazebo for natural language-based drone con- trol

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T11:50:53.326440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:5800b53891b294bc1bd71b4d1121de353af0fa3c21c419298cd80ab8f7823bdd

Observation fd661d3e-4a80-4b34-9102-b29b499c12a4 · outbound

This paper cites in EECS at the University of California, Irvine, USA.

A Universal Large Language Model -- Drone Command and Control Interface in EECS at the University of California, Irvine, USA

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T11:47:50.577204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-16T11:43:59.667539Z digest=sha256:c5fb16510f6910d4d86c8d7472bee2c6949d7d0a925beb3aab56d4a8db24b836

Pith citing papers

Observation 4b0547f0-16a9-4a37-a1c5-81ca8787275f · inbound

RT-SHCUA: Real-Time Self-Hosted Computer-Use Agent for UAV Control cites this paper.

RT-SHCUA: Real-Time Self-Hosted Computer-Use Agent for UAV Control A Universal Large Language Model -- Drone Command and Control Interface

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T16:35:12.765093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:35:12.765093Z digest=sha256:fd03ee9ed52335efcf08fb9c7570bee413bfe7da9f64f8138de9123b91c45d1c