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Paper Citation Record · LEDGER

LLM-Driven Self-Refinement for Embodied Drone Task Planning

As of 14 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 2026-08-14T06:32:32.682623+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
raw_fallback, observed 2026-08-05T17:58:24.263979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.079438Z digest=sha256:dd12509222bc72dcd2bcfe87a909cfb3c8644f688b44cc51dc884f3e33aeb7bd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.085029Z digest=sha256:805185f2b0f77bbfdad7cf6387638e71ced5d4fb200e701a77b400346a8a8aa5

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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.096080Z digest=sha256:5f1105c9a260ea82bb5cf3cc1537c2a92c30a8fdf3cb03ff85b0a9684792ff9d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.101182Z digest=sha256:b3ddf2161b693e741584b748d7b1805b66dbb0a31a855bfb9ed04c3528dfef4e

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=sha256:996efec303bddd9c6e1225b9c1010d5d80c2b1abb546ee03b9652ae83c87ce8b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.110854Z digest=sha256:1d1497b193b60ee5b2664e48a4f9deb3caef88b095b7e0282e9e37fe648c294d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.115425Z digest=sha256:17b5e02e195e67399b2a5e718f8be714d4cd91505e6afeb009115ce8164bf71e

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=sha256:7df656bea2718e29c52d2e78eef656393bf514f4151271f6351e7c105d4d97f0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.125143Z digest=sha256:39c6ef1f8b832fc2bd4d24d8c6b4635e15c4c9e1f2d98b6f5b24898c303a0c0c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.130315Z digest=sha256:295f7243ee9bf4acd7abf6a885f712e5f70501883adca6a133b6544859f04caf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.135116Z digest=sha256:a989d9ab95359b6b036b1d7441b245cb3e000f8ba67545477c34a7cedc40a5d9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.140336Z digest=sha256:cf14d92081373c410f9f360e73242e7c746d08ee3631e24ece8b7f852eb52ce4

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:fd69a4bc7b18eb5ad3f08c868e265d1749ba26f751a8a0808e5351a736588573

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=sha256:62bedc6d7c7fde8990a6cdbd1229a9b18a95f52af8eee4ddfd56466db915de31

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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+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=sha256:87289f54d55dd6029ffbd3b3bfc575153352aeb37164267c332c09dddb89760f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.179069Z digest=sha256:210c6a6c29d103f0341c26718c7e4bab17e8877e9b3be8defbffe5263019f948

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.183577Z digest=sha256:7f26a0b57b33abc750b74631ed5eafb53967836e4c0a664a40d2ce48eb132337

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.188059Z digest=sha256:97675b7a9849e04bdf3a17c0bc3f3b8c4848e9bdc408f9cc0909221e3db2a24e

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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.197357Z digest=sha256:7d195b98703267f9c187e9ae42965ce165619256e40ad48613ed89dbbbf0bcaf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.201932Z digest=sha256:3035c9e77fc0264244dcc6f569b9269ef4cdf8bd87a9de800e4101992bb3eb33

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:ed89bec527f1587a3bcfc7d777ec9e75e792d4aac1fa1387dbad76d5faaff3ce

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.212336Z digest=sha256:e49b02a293303a58b300f58080ec19318ca4626270437ef66af83ad2f12312ed

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.217090Z digest=sha256:20de3d57853ab19419fc02dcf2dcea8375d4244027adbb304c640ec003c128ba

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.221614Z digest=sha256:935fdb31231718ac879fe7707b12fcc284ece23ef19e390b56e389231fa11759

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.226510Z digest=sha256:027db7876bbd6244a13ec208c169fa0b66af3d5457a002cd0bef6eaa69d4b682

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.231706Z digest=sha256:5f401cea2fd6171a09afdfe5e9ceb5125aab01607b7e7e408ce469329e95de13

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.236099Z digest=sha256:4e72f4504ec0deff4b01a383626426a817b00349570756daed6660f1891d33a2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.240567Z digest=sha256:dfee912f1f26a23ed8af2fb25ff14b4ddf39057efb89cfb226998dc938d6cb7b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.246515Z digest=sha256:14abacddc9150e75e01a507fabe16711095d8c42e95f74616d58f0a4dec87383

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.251916Z digest=sha256:19ca9e6a86b3c21d55de8b70369a1ab7534db849d2a777ad2a5f707e6edd62f2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.257878Z digest=sha256:90008c0640af972c3ca3f5e5629f0aa27c19d5913c5808b9ec42101963d166b2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.262289Z digest=sha256:14dc4a9cc55212e657842773e075960e9bb7dd2bdbdda097bb37968ba98d13d7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.266689Z digest=sha256:0f43ed956226579942eb4b44eae108b6def767851854702230527460061a209d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.271119Z digest=sha256:b4b624c7565265902a941fe935cc0aa33aef7e69e8b6585299bf4fb2c9058161

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.275526Z digest=sha256:d5bf87264b861c84d4557e634f7475740d5f501f8c05c365001c8afa1144cc5c

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=sha256:1d2a1e9ed6262e8833329ce2f88e92ea0a0543e18cf9709a4aa22b8ba6bfeb47

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.285501Z digest=sha256:7d22588036e9339bfec548c30ccbf63ad1c6d0d000744a62ca3fc6e80ef5a12c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.290467Z digest=sha256:0ef02ac41dc5ebe19f0a40e4011d25b7cedf7c4360364b50ede6dfe30381b077

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.295312Z digest=sha256:7481583f5f442d6a2558c775b97c4bbd7e5402a46f0f1d6d1c2113434eba24a8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.299843Z digest=sha256:519570eace340357816c0cd8f183449a28b94eb9f8a4c86d426a51e460ca854d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.304313Z digest=sha256:01f6a2c819744c93d285a171139c18ce669114178f62fb6c22ddc21faf013347

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=sha256:317d3771d2612ff736e7289d942b926b1619e432bebd67f5edc966aec4ff6f5e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.313313Z digest=sha256:8ded81bcc7969596b8c26528b1adb6200062fa1901108601645101b9d42f849b

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=sha256:2306668e14536344d3b52232e5020b2dafa03b5f761aafff4663ee3a23ccccd4

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=sha256:7e84dfdd8da653d7b867b014f303912281e3473fb820bb763f5882129f1614a1

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=sha256:35181aa402379ee7c46041ef8ef135f0c3f9ab162b658c9709b603257872638d

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:fa368ba84971d05379c90b9e8f7561dddcae6e58c733168d9c097eb59ea193e2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:58:23.339664Z digest=sha256:64f16692626ac741cf8a2be9b12d54538852ce0b63395d7067a09edb2bcd5c91

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-09T22:52:05.428745Z digest=sha256:73206741878c0772ebd38c07c846dd330698ec5ce8cb5ee33e6ff31be3d8125c