Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning | Paper Citation Record

Observation 3cf6eb4d-c7b5-4b78-8a33-a909b7d594b3 · outbound

This paper cites Integrating exoskeletons in the construction sector: a systematic review of empirical evaluation tools and future directions.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Integrating exoskeletons in the construction sector: a systematic review of empirical evaluation tools and future directions

Reference 1

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This paper cites A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

Reference 2

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This paper cites Reviewofcontrolstrategies for lower-limb exoskeletons to assist gait.Journal of NeuroEngineering and Rehabilitation, 18: 1–34, 2021.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Reviewofcontrolstrategies for lower-limb exoskeletons to assist gait.Journal of NeuroEngineering and Rehabilitation, 18: 1–34, 2021

Reference 3

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This paper cites Language Models are Few-Shot Learners.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Language Models are Few-Shot Learners

Reference 4

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This paper cites Exoskeletonsforindustrialapplicationandtheirpotentialeffectsonphysicalworkload.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Exoskeletonsforindustrialapplicationandtheirpotentialeffectsonphysicalworkload

Reference 5

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This paper cites Exoskeletons: Contribution to occupational health and safety.Bio- engineering, 10(9):1039, 2023.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Exoskeletons: Contribution to occupational health and safety.Bio- engineering, 10(9):1039, 2023

Reference 6

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This paper cites Speech-based human-exoskeleton interaction for lower limb motion planning.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Speech-based human-exoskeleton interaction for lower limb motion planning

Reference 7

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Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Unresolved cited work

Reference 8

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Observation e677b8cc-76c7-4573-8ce6-09cda4b534cd · outbound

This paper cites Kinematic-based locomotion mode recognition for power augmentation exoskeleton.International Journal of Advanced Robotic Systems, 14(5): 1729881417730321, 2017.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Kinematic-based locomotion mode recognition for power augmentation exoskeleton.International Journal of Advanced Robotic Systems, 14(5): 1729881417730321, 2017

Reference 9

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This paper cites Potential of exoskeleton technologies to enhance safety, health, and performance in construction: Industry perspectives and future re- search directions.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Potential of exoskeleton technologies to enhance safety, health, and performance in construction: Industry perspectives and future re- search directions

Reference 10

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This paper cites Large language models are zero-shot reasoners.Advances in neural information processing systems, 35: 22199–22213, 2022.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Large language models are zero-shot reasoners.Advances in neural information processing systems, 35: 22199–22213, 2022

Reference 11

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This paper cites Environment classificationforroboticlegprosthesesandexoskeletonsusingdeepconvolutionalneuralnetworks.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Environment classificationforroboticlegprosthesesandexoskeletonsusingdeepconvolutionalneuralnetworks

Reference 12

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This paper cites Amultimodalframeworkbasedondeep belief network for human locomotion intent prediction.Biomedical Engineering Letters, pages 1–11, 2024.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Amultimodalframeworkbasedondeep belief network for human locomotion intent prediction.Biomedical Engineering Letters, pages 1–11, 2024

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:11.256346Z

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Observation edc7295a-ab07-4007-971a-fe49361da31f · outbound

This paper cites Fusion of human gaze and machine vision for predicting intended locomotion mode.IEEE Transactions on Neural Systems and Reha- bilitation Engineering, 30:1103–1112, 2022.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Fusion of human gaze and machine vision for predicting intended locomotion mode.IEEE Transactions on Neural Systems and Reha- bilitation Engineering, 30:1103–1112, 2022

Reference 14

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This paper cites MetaAgents: Large Language Model Based Agents for Decision-Making on Teaming.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning MetaAgents: Large Language Model Based Agents for Decision-Making on Teaming

Reference 15

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This paper cites Chain of Thought Empowers Transformers to Solve Inherently Serial Problems.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

Reference 16

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This paper cites AgentSims: An Open-Source Sandbox for Large Language Model Evaluation.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning AgentSims: An Open-Source Sandbox for Large Language Model Evaluation

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This paper cites Real-timelocomotionmoderecognitionandassistivetorquecontrol for unilateral knee exoskeleton on different terrains.IEEE/ASME Transactions on Mechatronics, 25(6):2722–2732, 2020.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Real-timelocomotionmoderecognitionandassistivetorquecontrol for unilateral knee exoskeleton on different terrains.IEEE/ASME Transactions on Mechatronics, 25(6):2722–2732, 2020

Reference 18

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This paper cites Pso-svm-based online locomotion mode identification for rehabilitation robotic exoskeletons.Sensors, 16(9):1408, 2016.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Pso-svm-based online locomotion mode identification for rehabilitation robotic exoskeletons.Sensors, 16(9):1408, 2016

Reference 19

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Observation c2b9f17a-7fe0-432f-99e1-97f55e4adfe6 · outbound

This paper cites Gaitactivityclassificationwithconvolutionalneuralnetworkusing lower limb angle measurement from inertial sensors.IEEE Sensors Journal, 2024.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Gaitactivityclassificationwithconvolutionalneuralnetworkusing lower limb angle measurement from inertial sensors.IEEE Sensors Journal, 2024

Reference 20

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This paper cites Asurveyofsensorfusionmethodsinwearablerobotics.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Asurveyofsensorfusionmethodsinwearablerobotics

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:11.172568Z

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This paper cites Gpt-4v(ision) system card, 2023.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Gpt-4v(ision) system card, 2023

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Observation 9044cbe6-81b3-4c79-aeed-36e9060a9b2e · outbound

This paper cites Memgpt: Towards llms as operating systems.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Memgpt: Towards llms as operating systems

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This paper cites Generative agents: Interactive simulacra of human behavior.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Generative agents: Interactive simulacra of human behavior

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This paper cites Ai deception: A survey of examples, risks, and potential solutions.Patterns, 5(5), 2024.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Ai deception: A survey of examples, risks, and potential solutions.Patterns, 5(5), 2024

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This paper cites Real-timehybridlocomotionmoderecogni- tionforlowerlimbwearablerobots.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Real-timehybridlocomotionmoderecogni- tionforlowerlimbwearablerobots

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:11.098044Z

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This paper cites Performance evaluation of lower limb exoskeletons: a systematic review.IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(7):1573–1583, 2020.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Performance evaluation of lower limb exoskeletons: a systematic review.IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(7):1573–1583, 2020

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Observation d1598efc-43d5-4039-981a-176facd85efc · outbound

This paper cites Predictive locomotion mode recognition and accurate gait phase estimation for hip exoskeleton on various terrains.IEEE Robotics and Automation Letters, 7(3):6439–6446, 2022.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Predictive locomotion mode recognition and accurate gait phase estimation for hip exoskeleton on various terrains.IEEE Robotics and Automation Letters, 7(3):6439–6446, 2022

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This paper cites SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning

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Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Unresolved cited work

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Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Unresolved cited work

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This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

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This paper cites In2023IEEEInternationalConferenceonRoboticsandAutomation(ICRA) ,pages10478–10482.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning In2023IEEEInternationalConferenceonRoboticsandAutomation(ICRA) ,pages10478–10482

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This paper cites Control strategies for active lowerextremityprostheticsandorthotics: areview.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Control strategies for active lowerextremityprostheticsandorthotics: areview

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This paper cites Language models don’t always say what they think: Unfaithful explanations in chain-of-thought prompting.Advances in Neural Information Processing Systems, 36:74952–74965, 2023.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Language models don’t always say what they think: Unfaithful explanations in chain-of-thought prompting.Advances in Neural Information Processing Systems, 36:74952–74965, 2023

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This paper cites Integralreal-timelocomotionmoderecognitionbasedonga-cnnforlowerlimbexoskeleton.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Integralreal-timelocomotionmoderecognitionbasedonga-cnnforlowerlimbexoskeleton

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Observation c3f1ef13-86d3-44b2-aef2-cb0b065a3c2c · outbound

This paper cites A survey on large language model based autonomous agents.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning A survey on large language model based autonomous agents

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Observation 3093bf8c-3d9c-4352-bad6-beefce4feb6d · outbound

This paper cites RecMind: Large Language Model Powered Agent For Recommendation.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning RecMind: Large Language Model Powered Agent For Recommendation

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This paper cites Finetuned Language Models Are Zero-Shot Learners.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Finetuned Language Models Are Zero-Shot Learners

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This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022

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This paper cites The rise and potential of large language model based agents: A survey.Science China Information Sciences, 68(2):121101, 2025.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning The rise and potential of large language model based agents: A survey.Science China Information Sciences, 68(2):121101, 2025

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Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Unresolved cited work

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This paper cites Artificial neural network-based activities classification, gait phase estimation, and prediction.Annals of biomedical engineering, 51(7):1471–1484, 2023.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Artificial neural network-based activities classification, gait phase estimation, and prediction.Annals of biomedical engineering, 51(7):1471–1484, 2023

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This paper cites Explainability for large language models: A survey.ACM Transac- tions on Intelligent Systems and Technology, 15(2):1–38, 2024.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Explainability for large language models: A survey.ACM Transac- tions on Intelligent Systems and Technology, 15(2):1–38, 2024

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This paper cites Memorybank: Enhancing largelanguagemodelswithlong-termmemory.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning Memorybank: Enhancing largelanguagemodelswithlong-termmemory

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:10.866875Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ee9b3586-cb4d-4f8d-b79c-f9dd772626cb · outbound

This paper cites A novel motion intention recognition approach for soft exoskeleton via imu.Electronics, 9 (12):2176, 2020.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning A novel motion intention recognition approach for soft exoskeleton via imu.Electronics, 9 (12):2176, 2020

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:10.851074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers