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Paper Citation Record · LEDGER

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning

As of 17 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 7 inbound Pith citation observations for arXiv:2505.07236.

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

pith.paper-citation-record.v1
2505.07236 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:24:51.010403Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:14:00.925442Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 64a2a88e-ba39-4db7-9d25-85b227a03675 · outbound

This paper cites AI meets UA Vs: A survey on AI empowered UA V perception systems for precision agriculture,.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning AI meets UA Vs: A survey on AI empowered UA V perception systems for precision agriculture,

Reference 1

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source=pdf_text observed=2026-08-15T22:24:50.887446Z digest=sha256:f94e144b93ebf09735389e1000cf0d80b7cec9ea69ca96efc3e4b563b49c25a2

Observation d1bb80fd-9ffc-4e89-a0c5-c587ed8db32f · outbound

This paper cites Unmanned aerial vehicles for search and rescue: A survey,.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning Unmanned aerial vehicles for search and rescue: A survey,

Reference 2

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source=pdf_text observed=2026-08-15T22:24:50.892928Z digest=sha256:7df4a4a790962c0899121391cf5c43be16f8944fb2252ef34ca7b3516a44137c

Observation f29459af-709c-4090-9431-31789f98bb7d · outbound

This paper cites FlightAR: AR flight assistance interface with multiple video streams and object detection aimed at immersive drone control,.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning FlightAR: AR flight assistance interface with multiple video streams and object detection aimed at immersive drone control,

Reference 3

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:24:50.897874Z digest=sha256:98b688c0997971b8a201a76c120cce35324ed97dc68767c27a903b19efb37071

Observation 268e5e01-9b7a-49d8-8f6d-031e17dd97d9 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 4

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source=pdf_text observed=2026-08-15T22:24:50.902583Z digest=sha256:fcc0c30bdcb8d6497d6969ae9ce68bcc89f467672849f77f2f1ab417cd808da7

Observation d90bc7b3-f9fb-4006-b97e-c7118e9b6df2 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning Learning transferable visual models from natural language supervi- sion,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:24:50.911756Z digest=sha256:38a0434698937dad4302452ec5f41ff5cbe3b9958f6b2479bec83a20d1a97a26

Observation ccc5ffe8-daa1-47e4-b72a-8262b99a4653 · outbound

This paper cites GPT-4 Technical Report.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning GPT-4 Technical Report

Reference 6

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source=pdf_text observed=2026-08-15T22:24:50.917566Z digest=sha256:96c322d6fe510abf13d69aab74113b3a61c6a20eae8621c23842727f74139e7c

Observation 8922b4e7-ea0e-474d-bfac-a2705f831682 · outbound

This paper cites AerialVLN: Vision-and-language navigation for UA Vs,.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning AerialVLN: Vision-and-language navigation for UA Vs,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:24:50.922974Z digest=sha256:c818489d9dfea8af8ad593f8db565b3132af3ef3d1f57c8ab4cff6c9c3fbc3ad

Observation 368c3553-4e65-4200-96e6-9797f8b02a3f · outbound

This paper cites Aerial vision-and-dialog navigation,.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning Aerial vision-and-dialog navigation,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:24:50.928301Z digest=sha256:f0363ac9c1e4d5744246c305ff305f9b1fbd9117399bdec31d9c2d10860bbbd4

Observation de7718d3-9591-4e7b-9802-4f695ecf6d05 · outbound

This paper cites Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology

Reference 9

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source=pdf_text observed=2026-08-15T22:24:50.936775Z digest=sha256:95dc3297b781ebfe2359fe95b481d4221b72594e1fdb5a71f8a42ea21b0eca0b

Observation 4d79d272-afaf-44b7-991b-c5bc255eb7ef · outbound

This paper cites Exploring Spatial Representation to Enhance LLM Reasoning in Aerial Vision-Language Navigation.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning Exploring Spatial Representation to Enhance LLM Reasoning in Aerial Vision-Language Navigation

Reference 10

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source=pdf_text observed=2026-08-15T22:24:50.942826Z digest=sha256:707fc11d47861764a9e8db5b8df5b07f0e6abb23241df0e0bd06f6a8ce091dd5

Observation 19eb2e92-91e3-497e-bf53-b31c0ec703a9 · outbound

This paper cites EmbodiedCity: Embodied aerial agent for city-level visual language navigation using large language model,.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning EmbodiedCity: Embodied aerial agent for city-level visual language navigation using large language model,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:24:50.949566Z digest=sha256:dc6cb24be19681410f3f6ac7421539382b4b8cbff6044f79beaeb3ae1e14ed77

Observation 19d21cac-a0d5-4ba6-a9fd-44cfe87f4f20 · outbound

This paper cites MorphoNavi: Aerial-Ground Robot Navigation with Object Oriented Mapping in Digital Twin.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning MorphoNavi: Aerial-Ground Robot Navigation with Object Oriented Mapping in Digital Twin

Reference 12

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source=pdf_text observed=2026-08-15T22:24:50.956127Z digest=sha256:5b9d965218488e5f12768734c98f8b615784b082a0b515ed86992ca09430c68f

Observation 3443681f-cabf-4196-b396-894c3729b83c · outbound

This paper cites CognitiveDrone: A VLA Model and Evaluation Benchmark for Real-Time Cognitive Task Solving and Reasoning in UAVs.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning CognitiveDrone: A VLA Model and Evaluation Benchmark for Real-Time Cognitive Task Solving and Reasoning in UAVs

Reference 13

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source=pdf_text observed=2026-08-15T22:24:50.963339Z digest=sha256:a744f18c8b7753c256e7778d7c24ea4d8606436677209bd68f36f9ec930b27e1

Observation 761c545d-d228-4077-a990-2cd1adbb7c13 · outbound

This paper cites UA V-VLA: Vision-language-action system for large scale aerial mission generation,.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning UA V-VLA: Vision-language-action system for large scale aerial mission generation,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:24:50.968129Z digest=sha256:f76b19a2a81719d371140964cf9d6e7fb3abe1fd489c5893cd6bb5e9b9052775

Observation 58152ffd-8df5-4107-a935-34bbe873c1a8 · outbound

This paper cites UAV-VLPA*: A Vision-Language-Path-Action System for Optimal Route Generation on a Large Scales.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning UAV-VLPA*: A Vision-Language-Path-Action System for Optimal Route Generation on a Large Scales

Reference 15

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source=pdf_text observed=2026-08-15T22:24:50.973253Z digest=sha256:5031404e9cd7b88a50489a86d4a3e85285ea9df2679d185a088313bdd17232ed

Observation 478cf7c9-a502-4a1e-aba9-76dd15d80e2f · outbound

This paper cites UAV-VLRR: Vision-Language Informed NMPC for Rapid Response in UAV Search and Rescue.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning UAV-VLRR: Vision-Language Informed NMPC for Rapid Response in UAV Search and Rescue

Reference 16

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source=pdf_text observed=2026-08-15T22:24:50.978097Z digest=sha256:0a4eb896e6ba48cd43062c68d6326844f355802bda21aef1ffa05e46af498308

Observation 51712254-2bd4-40b3-86d9-f10f470342ff · outbound

This paper cites RaceVLA: VLA-based Racing Drone Navigation with Human-like Behaviour.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning RaceVLA: VLA-based Racing Drone Navigation with Human-like Behaviour

Reference 17

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source=pdf_text observed=2026-08-15T22:24:50.984662Z digest=sha256:d934efc139b01a8b772a400de3221dd73f31d80169ffe75dd64dc6b74d5830dc

Observation 9d85ffba-1bc7-47f1-bef7-6fdfc4ea0f3c · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning OpenVLA: An Open-Source Vision-Language-Action Model

Reference 18

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source=pdf_text observed=2026-08-15T22:24:50.989131Z digest=sha256:4dcba0f048ba058fa7c49d80d6dcd8fb1a6499fa2967b2da21225a9e79fd2af6

Observation 25fbafcf-8321-449d-8333-2bd89ba24630 · outbound

This paper cites MiniVLA: A better VLA with a smaller footprint,.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning MiniVLA: A better VLA with a smaller footprint,

Reference 19

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:24:50.993473Z digest=sha256:00e5189549b7df2d3c05c43baef4443bd984d3f8e2f8c4193747c1f81b1f4d98

Observation 3d3221cd-a7f8-41f4-af64-a55ae24d57cb · outbound

This paper cites Swarm-GPT: Combining Large Language Models with Safe Motion Planning for Robot Choreography Design.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning Swarm-GPT: Combining Large Language Models with Safe Motion Planning for Robot Choreography Design

Reference 20

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source=pdf_text observed=2026-08-15T22:24:50.999118Z digest=sha256:3122432bdf5f94efec666fb9ec369e33dde92fc8b32dd503d9079d7827324d9f

Observation 1a481531-c5dd-4f41-8384-1ff230af0373 · outbound

This paper cites FlockGPT: Guiding UA V flocking with linguistic orchestration,.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning FlockGPT: Guiding UA V flocking with linguistic orchestration,

Reference 21

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:24:51.005874Z digest=sha256:5099a0054ce5daaf17d79690e324342c6373037f5aced81d4e6ad5ed20d1505d

Observation 01dfad5d-239e-42ab-8bf8-3a027cd756ac · outbound

This paper cites WildfireGPT: Tailored Large Language Model for Wildfire Analysis.

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning WildfireGPT: Tailored Large Language Model for Wildfire Analysis

Reference 22

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source=pdf_text observed=2026-08-15T22:24:51.010403Z digest=sha256:b074f58224e0ad39daa67a2de1c0a4ba992ec83a833af1f14c637a463fc037ef

Pith citing papers

Observation e701cfc2-9ea8-4976-a052-179060a917c9 · inbound

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications cites this paper.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning

Reference 185

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source=pdf_text observed=2026-08-07T13:14:00.925442Z digest=sha256:e1563d347341b94a9d5200a5758dc04310e6887acd537a5f99ca1af7ef1e1789

Observation e727097f-45a2-4f04-87f8-2d9b519b891c · 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 UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning

Reference 14

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source=pdf_text observed=2026-08-07T05:47:56.900062Z digest=sha256:c4391de5987cee2487016d95aee411691a5f604dba01c98372009314ca1947a8

Observation 6ed34466-d0c6-4b1a-973b-121b6b1e99e3 · inbound

Agentic AI in Remote Sensing: Foundations, Taxonomy, and Emerging Systems cites this paper.

Agentic AI in Remote Sensing: Foundations, Taxonomy, and Emerging Systems UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning

Reference 108

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arxiv_id, observed 2026-05-16T18:31:10.833701Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-16T18:28:33.277442Z digest=sha256:c2cdac94a29e708d67bb767965f0a9f76415dcccebe7f10c12eccfdab5219bdf

Observation 0bbcda29-aa6b-4f0a-8960-e729a406474b · inbound

QuadAgent: A Responsive Agent System for Vision-Language Guided Quadrotor Agile Flight cites this paper.

QuadAgent: A Responsive Agent System for Vision-Language Guided Quadrotor Agile Flight UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning

Reference 7

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arxiv_id, observed 2026-05-13T20:18:13.172615Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T20:16:36.843013Z digest=sha256:9933b5ade00ec88b33d1f07590f2bfc44709fa0a135a8225b03dcbb5dcac8c14

Observation a9efad98-8ff5-440e-a6fb-fc07c61ff70b · inbound

Vision-Language Navigation for Aerial Robots: Towards the Era of Large Language Models cites this paper.

Vision-Language Navigation for Aerial Robots: Towards the Era of Large Language Models UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning

Reference 35

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arxiv_id, observed 2026-05-11T00:45:49.958062Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T18:20:12.463846Z digest=sha256:5b5c4ceb7b821ba9238962d775f59b7e799e51c68a30dc89f1c8c932fd7ece02

Observation 8e9cae50-796c-4c7c-921e-0c981a762219 · inbound

PEACE: A Planner-Executor Agent with Constraint Enforcement for UAVs cites this paper.

PEACE: A Planner-Executor Agent with Constraint Enforcement for UAVs UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning

Reference 17

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arxiv_id, observed 2026-06-29T16:53:40.404017Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T16:53:17.504094Z digest=sha256:df2f56d31464f7b62a2045ea2aa4e4505d1d2903fff953aba861f26cf43296ab

Observation a9f1fdd1-4a61-491e-879c-f6dd7dbe4190 · inbound

MultiUAV-Plat: An LLM-Oriented Platform, Benchmark and Framework for Multi-UAV Collaborative Task Planning cites this paper.

MultiUAV-Plat: An LLM-Oriented Platform, Benchmark and Framework for Multi-UAV Collaborative Task Planning UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning

Reference 22

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arxiv_id, observed 2026-07-01T06:15:26.643913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-01T06:09:22.431356Z digest=sha256:fa492bda3b9cce837d1dd5ad61f8ffdb7aef7f7986e69a9f528956a89084e8c9