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Paper Citation Record · LEDGER

LLM-Driven Self-Refinement for Embodied Drone Task Planning

As of 9 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2508.15501.

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

pith.paper-citation-record.v1
2508.15501 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:58:23.339664Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T22:52:05.428745Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T22:54:16.236132Z

Reference resolution

56 of 56 outbound references displayed

  • verified exact1
  • verified fuzzy43
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3f54727a-c116-4328-a08a-112967f1311c · outbound

This paper cites The small-drone revolution is coming—scientists need to ensure it will be safe,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning The small-drone revolution is coming—scientists need to ensure it will be safe,

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1ef8ad70-dac2-44bf-9f55-d18d6db1de20 · outbound

This paper cites In- dustry state-of-art and opportunities for the use of drones in smart grids inspections,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning In- dustry state-of-art and opportunities for the use of drones in smart grids inspections,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:24.247201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4203bd45-2e59-4e4f-a371-b0ecfd85c78a · outbound

This paper cites Selecting freight transportation modes in last-mile urban distribution in pamplona (spain): An option for drone delivery in smart cities,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Selecting freight transportation modes in last-mile urban distribution in pamplona (spain): An option for drone delivery in smart cities,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:24.229892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.079438Z digest=sha256:a3bd27a52c4a454d5e52db0a5aaba1ce5e57fc9f7371ac7a91157289e642075f

Observation d841993a-a463-461d-b687-f8674f701334 · outbound

This paper cites The next generation of human-drone partnerships: Co-designing an emergency response system,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning The next generation of human-drone partnerships: Co-designing an emergency response system,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:24.214418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.085029Z digest=sha256:a3da6ce08624927a09c37d9c8f655f4e0c1fefa94f6c2a145797380dd45aac99

Observation 887a4847-d3d9-4303-8409-aa211d1ca318 · outbound

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

LLM-Driven Self-Refinement for Embodied Drone Task Planning Chatfly: Low-latency drone planning with large language models,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:24.197344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.090638Z digest=sha256:a996d7b49b927d8ae59cc196f4b25bf11a9dd1152d2c9d4ccae8e5c79e30d191

Observation 11da420a-8715-40d9-9856-d215e96b8f2e · outbound

This paper cites Net-gpt: A llm-empowered man-in-the- middle chatbot for unmanned aerial vehicle,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Net-gpt: A llm-empowered man-in-the- middle chatbot for unmanned aerial vehicle,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:24.181119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.096080Z digest=sha256:92cd50528b5cd763d90e3b7a1f690670a9c9a7209d320339d2c82bfce6a4db36

Observation 1cba0fd7-1489-47fd-9df7-0bcdc4cf21c6 · outbound

This paper cites Multi-uav place- ment for integrated access and backhauling using llm-driven op- timization,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Multi-uav place- ment for integrated access and backhauling using llm-driven op- timization,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:24.163867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.101182Z digest=sha256:20695540d7a3f68b64a19864b53522227f82a4f28d27a6f563fc900668a299ec

Observation cafcbd8e-2c8e-4b24-b708-4bd0b7ae2d19 · outbound

This paper cites LLM-as-BT-Planner: Leveraging LLMs for Behavior Tree Generation in Robot Task Planning.

LLM-Driven Self-Refinement for Embodied Drone Task Planning LLM-as-BT-Planner: Leveraging LLMs for Behavior Tree Generation in Robot Task Planning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T17:58:23.105800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:58:23.105800Z digest=sha256:ac724d0a5bb359778257caed4e019f998b3e670f55f3d889a1480ee114adf89f

Observation 32872cda-ca19-4c90-8d94-a270f55453da · outbound

This paper cites Lifelong robot learning with human assisted lan- guage planners,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Lifelong robot learning with human assisted lan- guage planners,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:24.146409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.110854Z digest=sha256:770547a5aafe227f5732b09c9ff16a392e999a1aacdadc05451b3dfacfdfc768

Observation f1274e82-f49e-4f95-b368-5ddcdcac6e47 · outbound

This paper cites Btgenbot: Behavior tree generation for robotic tasks with lightweight llms,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Btgenbot: Behavior tree generation for robotic tasks with lightweight llms,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:24.128990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.115425Z digest=sha256:26fd60d7b652a09e5dd84e47006b5ef3fadfc66e986c7caa9ec11a285a5263da

Observation dc018a18-f5e9-4842-a159-018325f79f59 · outbound

This paper cites Integrating Intent Understanding and Optimal Behavior Planning for Behavior Tree Generation from Human Instructions.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Integrating Intent Understanding and Optimal Behavior Planning for Behavior Tree Generation from Human Instructions

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T17:58:23.120076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:58:23.120076Z digest=sha256:ca3468522825340b98015240750ec8ed160ed251a25dc184e86104a92c2292da

Observation b8e4ff75-1038-4cdb-8dbe-7830454fd9f0 · outbound

This paper cites Behavior trees and state machines in robotics applications,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Behavior trees and state machines in robotics applications,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:24.112391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.125143Z digest=sha256:2d794f540e837e375e39376905ab2ad2f11314bb2ed62375ea8e4b1b300e2cde

Observation e8114be8-2716-4a87-9513-fd2a51c7822c · outbound

This paper cites Research progress and application of behavior tree technology,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Research progress and application of behavior tree technology,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:24.097074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.130315Z digest=sha256:16aa83e8c9e9be2db8ac47ffda55cf375ade3503253ac18772f72b73d13124b4

Observation 8fa65179-820f-49e5-a1d9-53d4ba57dfe4 · outbound

This paper cites Behavior trees in action: a study of robotics applications,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Behavior trees in action: a study of robotics applications,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:24.081169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.135116Z digest=sha256:8a968fab6af1f03cf2d697a591cdecc3eb85e9370adbd61a149ff6e2bfae4d3f

Observation d6aed188-04b7-4d4c-9d71-bc07c21a15ec · outbound

This paper cites Increasing modularity of uav control systems using computer game behavior trees,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Increasing modularity of uav control systems using computer game behavior trees,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:24.064322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.140336Z digest=sha256:ec0ae146d6d1474285b9dc30696f7c10ef2863220c862ca8145f9001c4ac497a

Observation 784bed07-19b1-412d-8da8-820c08324631 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Reflexion: Language agents with verbal reinforcement learning,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T17:58:23.145459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:58:23.145459Z digest=sha256:6f0e87c9918be6b7aeea3dadbaa487f4976655067af0dc3ffbe7ee1d5e6ca5c6

Observation 30ffd83e-763c-4253-871d-0f01329c9e05 · outbound

This paper cites REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction.

LLM-Driven Self-Refinement for Embodied Drone Task Planning REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T17:58:23.150049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:58:23.150049Z digest=sha256:fffbcf5f622cb063d691e76cb8a4fa22ee77ab9ca6cf8eaa2cbe5877b00f94d7

Observation 7a01fdb1-a619-4328-b36a-f4e657675bdb · outbound

This paper cites Learning to refine with fine-grained natural language feedback,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Learning to refine with fine-grained natural language feedback,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:24.038203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.155054Z digest=sha256:aa64e684b1868f73c16c66528abae34fc92d1942c355bef5574e3a2f0a3b3176

Observation 917f6dd9-be2f-4746-9baf-7fdd4bc30c71 · outbound

This paper cites PRompt optimization in multi-step tasks (PROMST): Integrating human feedback and heuristic-based sampling,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning PRompt optimization in multi-step tasks (PROMST): Integrating human feedback and heuristic-based sampling,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:24.022045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation dd991726-2e3e-452c-afc7-aa466517f7f9 · outbound

This paper cites Agile: A novel reinforcement learning framework of llm agents,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Agile: A novel reinforcement learning framework of llm agents,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:24.001741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.164752Z digest=sha256:ce773662a89c14969ed6be4ea1e04d1ee9f6d70cc1b2892e52c792ebfac1570d

Observation 32252503-be6c-43db-9339-327e1df7682f · outbound

This paper cites Countering reward over-optimization in LLM with demonstration-guided reinforcement learning,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Countering reward over-optimization in LLM with demonstration-guided reinforcement learning,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.987067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e152feb9-34c8-49c7-9027-6d02c3042a24 · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T17:58:23.174397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:58:23.174397Z digest=sha256:5077fd088e75b1f38a57a1cce9bdf19aabc5164218ba73631179c712b920e218

Observation ec07e7a5-6b2b-4968-8436-c15f6a537a2b · outbound

This paper cites Prompt, plan, perform: Llm-based humanoid control via quantized imita- tion learning,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Prompt, plan, perform: Llm-based humanoid control via quantized imita- tion learning,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.971947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.179069Z digest=sha256:f5b22a1a9bd9c7e871fa7811170468422f045ddda64d83f73c56fbc0ab0b633a

Observation f7b06913-be36-462a-bef5-a4d2a8aa028d · outbound

This paper cites Learning rewards from linguistic feedback,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Learning rewards from linguistic feedback,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.955064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.183577Z digest=sha256:0533c48078551ffd2e8571f7fa2649d3f3dd52f7369d9aee16944a459f47173d

Observation 849bb855-55e1-4044-a00b-649a3e50380a · outbound

This paper cites Fine-grained human feedback gives better rewards for language model training,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Fine-grained human feedback gives better rewards for language model training,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.939111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.188059Z digest=sha256:81337c75b7610559609152f487ac3e22119193e66a2c7aeac290c6fb4a54452b

Observation 187bccf8-f2c0-4b12-bbc6-6b9dd70171f9 · outbound

This paper cites Semantic-based explainable ai: Leverag- ing semantic scene graphs and pairwise ranking to explain robot failures,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Semantic-based explainable ai: Leverag- ing semantic scene graphs and pairwise ranking to explain robot failures,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.922661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.192630Z digest=sha256:d658dcea323debe665f137ae8f259c58ea651ee4a6d997be72ba383ad6135be9

Observation 2f18091d-e2db-456f-a9c4-3363d017bd0c · outbound

This paper cites Llm4ts: Aligning pre-trained llms as data-efficient time-series forecasters,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Llm4ts: Aligning pre-trained llms as data-efficient time-series forecasters,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.907132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.197357Z digest=sha256:ff5ceb934e756e9967d1660542d82a8b67ca61e521d725e3c1762362d748ff6a

Observation 309f23c3-9515-4a75-bde8-2cae3e463f18 · outbound

This paper cites Time-LLM: Time series forecasting by reprogramming large language models,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Time-LLM: Time series forecasting by reprogramming large language models,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.889879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.201932Z digest=sha256:fc859aaa6975ac4e7f230640e14acb30a5d6440c820702d5677825a9509adce9

Observation 596d60be-ddd5-47f7-b19f-bfc50edb81ec · outbound

This paper cites Are transformers effective for time series forecasting?.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Are transformers effective for time series forecasting?

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T17:58:23.206531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:58:23.206531Z digest=sha256:1a6999d0433b7e6d2d0b8b1bb6f8ef4d2d529f5b2ebd00607c0c7d533ea64dc3

Observation b38b95c0-e748-4368-833f-40394f153f70 · outbound

This paper cites Thiercelin.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Thiercelin

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.865145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.212336Z digest=sha256:688a0735121926406ed67f832acb4064fff7ed20a1b82b8c2c02395899c36cb4

Observation 0ab239cd-2e9c-4faf-aeff-f85d82778e16 · outbound

This paper cites Mind’s eye of llms: visualization-of-thought elicits spatial rea- soning in large language models,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Mind’s eye of llms: visualization-of-thought elicits spatial rea- soning in large language models,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.850838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.217090Z digest=sha256:bc3ad8add5b380d577552db716bd84b28a9ca781b3abb1bde025f78b1470760f

Observation 6cabe100-ffa0-4376-a5b6-f8a032d5827d · outbound

This paper cites Mpnet: Masked and permuted pre-training for language understanding,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Mpnet: Masked and permuted pre-training for language understanding,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.837000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.221614Z digest=sha256:f1fd54bfe3b5fb87e7ccb68d1b54d4e1b05ce02f884d8eb06ed1b0743701ced8

Observation 6e61918b-2325-410f-8e33-dfe27a38e178 · outbound

This paper cites (2025) Mavros.

LLM-Driven Self-Refinement for Embodied Drone Task Planning (2025) Mavros

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.822319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.226510Z digest=sha256:86eb2740642c9d49bd1b978b86557e2c4dd8e0c5b26d4e6b69cff7223048673e

Observation 8df24ac9-6e0a-4fa2-b62e-57a8039c8d20 · outbound

This paper cites (2025) Behaviortree.cpp.

LLM-Driven Self-Refinement for Embodied Drone Task Planning (2025) Behaviortree.cpp

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.806723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.231706Z digest=sha256:379abee542418a9f9e3bb221b5d956a93ccc0b57ea72623d5329c4a713efb0d2

Observation 38d0dece-611f-430c-b504-796e385b0dc5 · outbound

This paper cites (2025) Yolov5.

LLM-Driven Self-Refinement for Embodied Drone Task Planning (2025) Yolov5

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.792052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.236099Z digest=sha256:f800ea684ce410798efb52b7cd6666262954e34b5a696cc2e408d3b32e5c2e78

Observation 893e56ba-3394-48f1-98ab-7552287e84e5 · outbound

This paper cites (2022) Jetson orin nx 16gb.

LLM-Driven Self-Refinement for Embodied Drone Task Planning (2022) Jetson orin nx 16gb

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.777965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.240567Z digest=sha256:1e8e6b764d5a6a0ac76c165be9750966a30be5d123e8bc474aa3e9ac716cbb70

Observation 442b7c8a-42c0-4c34-95d0-d7dec2bc5d68 · outbound

This paper cites (2020) Cuav v5 nano autopilot.

LLM-Driven Self-Refinement for Embodied Drone Task Planning (2020) Cuav v5 nano autopilot

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.762160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.246515Z digest=sha256:58a1c519a99ec0b08f229c4a999a6dbdb676b35379b62da7c9e7a5e09a6c4b17

Observation bf3be88a-502f-4c65-b59e-5c42d1c5d16d · outbound

This paper cites (2025) mid-360.

LLM-Driven Self-Refinement for Embodied Drone Task Planning (2025) mid-360

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.746663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.251916Z digest=sha256:21cee9b2e21eb220150b379d91741499f630c9f80fe0c0d181afe6307bc4f1cb

Observation 40027b7e-524d-4f07-be86-2d59dbd816b5 · outbound

This paper cites (2024) Fast-lio: Fast lidar-inertial odometry.

LLM-Driven Self-Refinement for Embodied Drone Task Planning (2024) Fast-lio: Fast lidar-inertial odometry

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.731873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.257878Z digest=sha256:df87ddbe635ee64481f0bbbabff2710c704128058515df8774905854b3ae571d

Observation a28f9fa4-ffe8-46b8-ac0d-c3e3a11a5f04 · outbound

This paper cites (2025) d435i.

LLM-Driven Self-Refinement for Embodied Drone Task Planning (2025) d435i

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.714980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.262289Z digest=sha256:5b0a2fb1d70dfc8ef65b42bd8eace54d5018f0da799379c94e5a624604352828

Observation d92292fe-4a1f-4f23-a1ce-0f8ca2976a53 · outbound

This paper cites Edge yolo: Real-time intelligent object de- tection system based on edge-cloud cooperation in autonomous vehicles,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Edge yolo: Real-time intelligent object de- tection system based on edge-cloud cooperation in autonomous vehicles,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.699044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.266689Z digest=sha256:d9b4ffdad7524d1dd85e7a725eabae9020bc16d31fa34d5f6106400c75ed9186

Observation dff52078-5e7a-4c76-ae7e-d43748ac403f · outbound

This paper cites Mobidepth: Real-time depth estimation using on- device dual cameras,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Mobidepth: Real-time depth estimation using on- device dual cameras,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.683962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.271119Z digest=sha256:f000ca12541654ebcd79efd6d6b497f3497bf8c9b0f5d436574a3a35c87bd54f

Observation 5b892cd0-9331-44fe-aa89-c84b0582d3dc · outbound

This paper cites Anytime Stereo Image Depth Estimation on Mobile Devices.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Anytime Stereo Image Depth Estimation on Mobile Devices

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-05T17:58:23.491434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.275526Z digest=sha256:a08ff8166974ff40cbe31e77f6a2266f963d93dcf8c2f39d7a932faadef0d8db

Observation f04b5469-f8d3-4296-a4cd-874440b6c1d3 · outbound

This paper cites Integrating intent understanding and optimal behavior planning for behavior tree generation from human instructions,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Integrating intent understanding and optimal behavior planning for behavior tree generation from human instructions,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T17:58:23.280446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:58:23.280446Z digest=sha256:00ca6d8930777532bfe892eda194d46a75ef2a73c36f0f8438ed2cbe489deeda

Observation 97d3079e-dbc4-4249-b2b3-334dee988740 · outbound

This paper cites Llm-planner: Few-shot grounded planning for embodied agents with large language models,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Llm-planner: Few-shot grounded planning for embodied agents with large language models,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.669494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.285501Z digest=sha256:6e1ea46dbc2526abdba5c81e8651b483f14dbcf94a0b6b73cd4f6098e7a14a05

Observation f40c8db6-de40-4771-b913-438474ab1369 · outbound

This paper cites Code as policies: Language model programs for embodied control,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Code as policies: Language model programs for embodied control,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.653767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.290467Z digest=sha256:b6631c7cbe34632329949e09a38e5c935c82e94ad26653f4654819f2b994f67f

Observation 2ee64518-4abb-4833-8074-eb6c5e9431b4 · outbound

This paper cites Enhancing the llm-based robot manipulation through human-robot collaboration,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Enhancing the llm-based robot manipulation through human-robot collaboration,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.636437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.295312Z digest=sha256:3e398b65e6c8afa2717dcf1664a53f9ef762e107d8cfa6032957e663aabd23aa

Observation e6726bd8-f6ca-48be-b80a-3bcd261d0294 · outbound

This paper cites Beyond- expert performance with limited demonstrations: Efficient imitation learning with double exploration,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Beyond- expert performance with limited demonstrations: Efficient imitation learning with double exploration,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.620332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.299843Z digest=sha256:0745adbac451dccc3c9b1fc42a331f989af71411157f731dcad94516744ee45d

Observation 061732af-3c4a-4a33-80ef-f0707def7cea · outbound

This paper cites Distilling and retrieving generalizable knowledge for robot manipulation via language corrections,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Distilling and retrieving generalizable knowledge for robot manipulation via language corrections,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.602172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.304313Z digest=sha256:28a576f37e5aacbf649795d4ee019e53b0e9dcb1aec19a39806c28bdfd98eb0f

Observation e6a2278d-5457-47c6-9278-5001e512866c · outbound

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

LLM-Driven Self-Refinement for Embodied Drone Task Planning On the Opportunities and Risks of Foundation Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T17:58:23.308853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:58:23.308853Z digest=sha256:ae585f2dc4fd1c4a0d0ffd2cdda0fc7ff73cad68dd1b1f0d202417b496fda7cc

Observation 6da345c5-a351-4752-bb0f-0f921a8b1ea4 · outbound

This paper cites Multitask prompted training enables zero-shot task generalization,.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Multitask prompted training enables zero-shot task generalization,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.586249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.313313Z digest=sha256:77ab7fb696311f3df7c18f1bffc45c5e8eb2731a8508b35ef888308cb5563589

Observation 0f7df2ac-0b91-447b-8300-80208d0a051b · outbound

This paper cites GPT-4 Technical Report.

LLM-Driven Self-Refinement for Embodied Drone Task Planning GPT-4 Technical Report

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-05T17:58:23.317918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:58:23.317918Z digest=sha256:dedea18e22af0642598bf80282862c8452622de8f18cd63e79d1298f0881e219

Observation c56b8316-b593-4b2c-8500-fb43de1d6bab · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Gemini: A Family of Highly Capable Multimodal Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-05T17:58:23.323640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:58:23.323640Z digest=sha256:0ec98b419d80958b96f2c94f1668ab2d7183760fb7a6d0fbdea1fbf1623cb136

Observation 7000e1d9-7bfe-41de-a8d5-57211b978483 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

LLM-Driven Self-Refinement for Embodied Drone Task Planning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-05T17:58:23.328894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:58:23.328894Z digest=sha256:b475e9966ee5d66ac4b19376d736df881ead046a55b4ce0581dff81d98a92fe3

Observation 9c1258fd-1826-4f20-9392-71d5643c198f · outbound

This paper cites Qwen Technical Report.

LLM-Driven Self-Refinement for Embodied Drone Task Planning Qwen Technical Report

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-05T17:58:23.334197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:58:23.334197Z digest=sha256:ae31eebbf389ebca5f96b13f8d5a32e1aff189134dbb82c6204250ceafe285f7

Observation 3658ef72-9517-41f7-bbff-b21771e4d4e3 · outbound

This paper cites studies in Computer Science at the same institution.

LLM-Driven Self-Refinement for Embodied Drone Task Planning studies in Computer Science at the same institution

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:58:23.570844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:58:23.339664Z digest=sha256:656b1c28fa0bc9cd56cffdbd13a99361a551a204da3a2290050b78b3bd795027

Pith citing papers

Observation ba7a3058-a665-4395-be02-12760af7c0d3 · inbound

Decoupled Travel Planning with Behavior Forest cites this paper.

Decoupled Travel Planning with Behavior Forest LLM-Driven Self-Refinement for Embodied Drone Task Planning

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:54:16.238984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T22:52:05.428745Z digest=sha256:a58f5bac7364fc6f0b595a5c57e9371432fa00b8771e1418cb4055d0f3e6d89c