Paper Citation Record · LEDGER

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation

As of 18 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2505.20783.

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

pith.paper-citation-record.v1
2505.20783 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:40.903036Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T13:48:08.135538Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T11:36:02.200844Z

Reference resolution

36 of 36 outbound references displayed

verified exact0
verified fuzzy24
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0516ac6d-1929-4e55-a28e-8e1b980e0590 · outbound

This paper cites Collaborative target search with a visual drone swarm: An adaptive curriculum embedded multistage re- inforcement learning approach,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Collaborative target search with a visual drone swarm: An adaptive curriculum embedded multistage re- inforcement learning approach,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:37.225739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b30b922-58dd-4ace-95e6-e8edc1c8effb · outbound

This paper cites Downside up: Rethinking parcel position for aerial delivery,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Downside up: Rethinking parcel position for aerial delivery,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:46.003090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f2a49902-9aa3-4d60-a740-23c0f20fd248 · outbound

This paper cites Industrial uav-based unsupervised domain adaptive crack recognitions: From database towards real-site infrastruc- tural inspections,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Industrial uav-based unsupervised domain adaptive crack recognitions: From database towards real-site infrastruc- tural inspections,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:45.803712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation da6b525a-00d7-4aff-9b1f-30ece51ba53c · outbound

This paper cites Multitarget assignment under uncer- tain information through decision support systems,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Multitarget assignment under uncer- tain information through decision support systems,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:45.625222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 804b1643-520a-433c-b918-8956188e06be · outbound

This paper cites Uav path planning based on the combination of a-star algorithm and rrt-star algorithm,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Uav path planning based on the combination of a-star algorithm and rrt-star algorithm,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:45.480853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b3872109-d049-46bb-b459-f894a025df6b · outbound

This paper cites An efficient rrt-based framework for planning short and smooth wheeled robot motion under kinodynamic constraints,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation An efficient rrt-based framework for planning short and smooth wheeled robot motion under kinodynamic constraints,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:45.160328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 24e47c0d-f579-4473-88fd-1e445858a7a3 · outbound

This paper cites Robust and effi- cient quadrotor trajectory generation for fast autonomous flight,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Robust and effi- cient quadrotor trajectory generation for fast autonomous flight,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:38.019087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ad2cbd8-c15f-41c6-a2ff-1457efb5e154 · outbound

This paper cites Ego-planner: An esdf- free gradient-based local planner for quadrotors,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Ego-planner: An esdf- free gradient-based local planner for quadrotors,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:38.153267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99b6eb6f-1912-45da-8342-bdc299e53850 · outbound

This paper cites Vision-based learning for drones: A survey,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Vision-based learning for drones: A survey,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:44.951413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7ce591ba-1fd1-4e57-8383-27df45a52e0b · outbound

This paper cites Aggressive quadrotor flight using curiosity-driven reinforcement learning,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Aggressive quadrotor flight using curiosity-driven reinforcement learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:44.774461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2793a4b1-1f27-49fb-9298-c5810d5e9a86 · outbound

This paper cites Learning multipursuit evasion for safe tar- geted navigation of drones,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Learning multipursuit evasion for safe tar- geted navigation of drones,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:44.615797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8f39c3b1-34fd-4d97-b91f-a15c56810b60 · outbound

This paper cites Learning cross-modal visuo- motor policies for autonomous drone navigation,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Learning cross-modal visuo- motor policies for autonomous drone navigation,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:38.534958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a1d5041-5ca4-4b39-8b35-e5208dea0b99 · outbound

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

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Champion-level drone racing using deep reinforcement learning,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:38.600272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7f29e40-12e4-41c0-a073-666b1cc68e42 · outbound

This paper cites Multiagent path finding using deep reinforcement learning coupled with hot supervision contrastive loss,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Multiagent path finding using deep reinforcement learning coupled with hot supervision contrastive loss,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:44.408742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1b719924-39b3-4b42-b8b7-e6d3fd65b8e9 · outbound

This paper cites An efficient reinforcement learning-based cooperative navigation algorithm for multiple uavs in complex environments,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation An efficient reinforcement learning-based cooperative navigation algorithm for multiple uavs in complex environments,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:44.194084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fa4b536a-bfdf-49fe-b99a-6b461eb9f287 · outbound

This paper cites Toward collaborative multitar- get search and navigation with attention-enhanced local observation,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Toward collaborative multitar- get search and navigation with attention-enhanced local observation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:43.902700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 605827e3-73c5-4984-bd7a-728a875d4206 · outbound

This paper cites Deep reinforcement learning of collision-free flocking policies for multiple fixed-wing uavs using local situation maps,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Deep reinforcement learning of collision-free flocking policies for multiple fixed-wing uavs using local situation maps,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:43.648575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5c90691c-4025-44ab-9226-67e75811ff2c · outbound

This paper cites Learning resilient formation control of drones with graph attention network,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Learning resilient formation control of drones with graph attention network,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:43.393302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 54843f09-b67a-4c59-af2a-f76d5d88c122 · outbound

This paper cites GPT-4 Technical Report.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation GPT-4 Technical Report

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:38.992860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e0fa4d1-3557-448f-b5c9-1c14c7ce3816 · outbound

This paper cites Flamingo: a visual language model for few-shot learning,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Flamingo: a visual language model for few-shot learning,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:39.116276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32505181-b0a5-458d-854f-176974560b71 · outbound

This paper cites Pe-gpt: A new paradigm for power electronics design,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Pe-gpt: A new paradigm for power electronics design,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:43.207634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 589c157e-62cb-4739-9aa4-5f750b9e2f76 · outbound

This paper cites Harnessing the power of large language model for effective web api recommendation,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Harnessing the power of large language model for effective web api recommendation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:42.974763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 86c1ea3b-d5fb-4704-ab67-c918acccc3fa · outbound

This paper cites Large-scale visual language model boosted by contrast domain adaptation for intelligent industrial visual monitoring,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Large-scale visual language model boosted by contrast domain adaptation for intelligent industrial visual monitoring,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:42.734982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b907ff1f-09ea-4e2e-a228-1b6ada6e77c4 · outbound

This paper cites Leveraging large language models to empower bayesian networks for reliable human- robot collaborative disassembly sequence planning in remanufacturing,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Leveraging large language models to empower bayesian networks for reliable human- robot collaborative disassembly sequence planning in remanufacturing,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:42.463351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b592253c-efb7-442a-9e49-77a82904183b · outbound

This paper cites Can foundation models perform zero-shot task specification for robot ma- nipulation?.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Can foundation models perform zero-shot task specification for robot ma- nipulation?

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:42.356626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fbf9c3a8-33bc-42d2-825a-f18232df9368 · outbound

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

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:39.655404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a7c0649-4bb8-495d-8e5d-c2869876e644 · outbound

This paper cites Foundation models in robotics: Applications, challenges, and the future,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Foundation models in robotics: Applications, challenges, and the future,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:42.139763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1a2a1175-45b8-49c9-bfa2-501e934872e6 · outbound

This paper cites Leviosa: Natural language-based uncrewed aerial vehicle trajectory generation,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Leviosa: Natural language-based uncrewed aerial vehicle trajectory generation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:41.992146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6b23d046-48b7-4b50-add6-5392c0b56917 · outbound

This paper cites A formal basis for the heuristic determination of minimum cost paths,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation A formal basis for the heuristic determination of minimum cost paths,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:40.092019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8c19f9c-cf75-44ca-beb2-325d09304a74 · outbound

This paper cites Sampling-based algorithms for optimal motion planning,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Sampling-based algorithms for optimal motion planning,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:40.159499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53347f6f-a24f-483a-aff3-d7f37d64a0da · outbound

This paper cites Resilient real-time decision-making for autonomous mobile robot path planning in complex dynamic environments,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Resilient real-time decision-making for autonomous mobile robot path planning in complex dynamic environments,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:41.793983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dcf14bc9-93b2-4570-97b4-4170b1928aeb · outbound

This paper cites Deep drone acrobatics,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Deep drone acrobatics,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:41.572925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 832aaf1c-fd61-4dea-b006-aa55ba7899c1 · outbound

This paper cites An adaptive conversion speed q-learning algorithm for search and rescue uav path planning in unknown environments,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation An adaptive conversion speed q-learning algorithm for search and rescue uav path planning in unknown environments,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:41.434011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 49913c5e-9e4b-4774-9551-877c868432e1 · outbound

This paper cites Federated imitation learning for uav swarm coordination in urban traffic monitoring,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Federated imitation learning for uav swarm coordination in urban traffic monitoring,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:41.234372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 49b0a0f3-0670-433c-9555-10205ef81dbe · outbound

This paper cites Npe-drl: Enhancing perception constrained obstacle avoidance with non-expert policy guided reinforcement learning,.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation Npe-drl: Enhancing perception constrained obstacle avoidance with non-expert policy guided reinforcement learning,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:40.802202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2902bcc-a4ca-43c5-b379-159ffad2ab74 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation On the Opportunities and Risks of Foundation Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:40.903036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 6d0d238a-21ab-41c9-afab-925e96e48e28 · 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 FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation

Reference 211

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:36:02.203408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.