Paper Citation Record · LEDGER

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph

As of 9 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 2 inbound Pith citation observations for arXiv:2509.00570.

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

pith.paper-citation-record.v1
2509.00570 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:32:50.138393Z

measured 71 of 71 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T16:15:40.011428Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T07:31:02.952472Z

Reference resolution

69 of 69 outbound references displayed

verified exact3
verified fuzzy28
unresolved37
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a422f3ce-c46a-4269-98e7-bf59bc6c81da · outbound

This paper cites Robot planning in the real world: Research challenges and opportunities,.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Robot planning in the real world: Research challenges and opportunities,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:56.849185Z

Source-reported events for the cited work

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Observation 9508caf9-d954-4502-abdf-47038b3890c9 · outbound

This paper cites Recent trends in task and motion planning for robotics: A survey,.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Recent trends in task and motion planning for robotics: A survey,

Reference 2

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Source-reported events for the cited work

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Observation 64ad5c02-e7fd-464c-b875-4fd38a7047c8 · outbound

This paper cites Robotic task sequencing problem: A survey,.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Robotic task sequencing problem: A survey,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:56.697539Z

Source-reported events for the cited work

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Observation 5d6b6609-2dc5-4215-b875-a9d8238c9521 · outbound

This paper cites Strips: A new approach to the application of theorem proving to problem solving,.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Strips: A new approach to the application of theorem proving to problem solving,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T13:32:47.612784Z

Source-reported events for the cited work

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Observation abacbe80-ffa7-41af-ae39-278291964446 · outbound

This paper cites Htn planning: Complexity and expressivity,.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Htn planning: Complexity and expressivity,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:56.578781Z

Source-reported events for the cited work

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Observation 719fb028-1b95-4196-b3aa-479492e68f9d · outbound

This paper cites PDDL2.1: An Extension to PDDL for Expressing Temporal Planning Domains.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph PDDL2.1: An Extension to PDDL for Expressing Temporal Planning Domains

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:32:50.924950Z

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.

Observation 760895fb-949f-46d8-a3e5-abfb42fc21f2 · outbound

This paper cites Automated planning for robotics,.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Automated planning for robotics,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T13:32:47.625231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b03a0b3-d103-4b4b-914a-d3a7c76d04fd · outbound

This paper cites Language models are few-shot learners,.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Language models are few-shot learners,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T13:32:47.629178Z

Source-reported events for the cited work

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Observation c3474899-d283-4c2a-8a2e-ffd4c7a880cb · outbound

This paper cites Palm: scaling language modeling with pathways,.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Palm: scaling language modeling with pathways,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:56.415737Z

Source-reported events for the cited work

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Observation 9c3b39ec-56a0-4dcc-bf5d-5b4b17ba06c3 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T13:32:47.646629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45b48877-287a-43b7-a0cd-d05c7dd0322a · outbound

This paper cites Large language models still can’t plan (a benchmark for LLMs on planning and reasoning about change),.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Large language models still can’t plan (a benchmark for LLMs on planning and reasoning about change),

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:56.151381Z

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.

Observation 758ea84c-dc70-4ede-af0b-4ff2c87d9220 · outbound

This paper cites Language models as zero-shot planners: Extracting actionable knowledge for embodied agents,.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Language models as zero-shot planners: Extracting actionable knowledge for embodied agents,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T13:32:47.659090Z

Source-reported events for the cited work

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Observation f8bb948e-2141-402a-961a-d81f6b20c203 · outbound

This paper cites On the prospects of incorporating large language models (llms) in automated planning and scheduling (aps),.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph On the prospects of incorporating large language models (llms) in automated planning and scheduling (aps),

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:55.945182Z

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.

Observation 11f4d32e-4237-4b6b-a610-a4744a437e36 · outbound

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

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T13:32:47.674001Z

Source-reported events for the cited work

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Observation 46fe2a0a-13bb-468e-8bc5-1db068d63dc4 · outbound

This paper cites SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain Knowledge.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain Knowledge

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T13:32:47.683105Z

Source-reported events for the cited work

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Observation 932cdebe-28cc-43eb-bdbb-275e8458d937 · outbound

This paper cites Grounded decoding: Guiding text generation with grounded models for embodied agents,.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Grounded decoding: Guiding text generation with grounded models for embodied agents,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:55.785986Z

Source-reported events for the cited work

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Observation 5bbee75a-38a0-4fb8-a186-4513dfca9d22 · outbound

This paper cites Inner monologue: Embod- ied reasoning through planning with language models,.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Inner monologue: Embod- ied reasoning through planning with language models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:55.644011Z

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.

Observation eab457e8-7c2b-4303-b918-d0ecbb30a7d8 · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph PaLM-E: An Embodied Multimodal Language Model

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T13:32:47.703132Z

Source-reported events for the cited work

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Observation e45b1b12-7e8a-40dd-92bb-a5725389fc9e · outbound

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

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Llm-planner: Few-shot grounded planning for embodied agents with large language models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:55.499721Z

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.

Observation 8fcd03ab-64e0-4968-bd4f-6f2e5568fde1 · outbound

This paper cites Embodied multi- agent task planning from ambiguous instruction.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Embodied multi- agent task planning from ambiguous instruction

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T13:32:47.714672Z

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Observation f46bd234-5a67-437a-9795-76f457a17274 · outbound

This paper cites Clara: classifying and disambiguating user commands for reliable interactive robotic agents,.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Clara: classifying and disambiguating user commands for reliable interactive robotic agents,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:55.279656Z

Source-reported events for the cited work

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Observation 6fae9670-0be8-497a-ac1a-662c75911987 · outbound

This paper cites Survey of hallucination in natural language generation,.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Survey of hallucination in natural language generation,

Reference 22

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Observation e9451e09-d3be-4a37-b034-7927e7a258ae · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions,.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T13:32:47.736832Z

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Observation 10dd0f68-4b47-45e1-8edf-b292e0159fa2 · outbound

This paper cites Pre-trained language models for interactive decision-making,.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Pre-trained language models for interactive decision-making,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:55.150816Z

Source-reported events for the cited work

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Observation 5af5a48d-7a60-4e7b-8694-8d7fce26ee40 · outbound

This paper cites ConceptNet 5.5: An Open Multilingual Graph of General Knowledge.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph ConceptNet 5.5: An Open Multilingual Graph of General Knowledge

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T13:32:47.764587Z

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Observation 89e90101-32e5-4940-aa37-eb2d0a6af528 · outbound

This paper cites Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration

Reference 26

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Observation 5612ddf2-f1c9-470b-af6a-634537b6e382 · outbound

This paper cites RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation

Reference 27

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Observation e3da7adb-0867-4154-b93d-a34666b8888c · outbound

This paper cites Optimal structure identification with greedy search,.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Optimal structure identification with greedy search,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:54.978449Z

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Observation de07f6e6-c02b-4eea-8586-933e3016c469 · outbound

This paper cites Large Language Models Can Learn Temporal Reasoning.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Large Language Models Can Learn Temporal Reasoning

Reference 29

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Observation 7640e687-518d-4204-9171-29541c3e70b8 · outbound

This paper cites Toward general-purpose robots via founda- tion models: A survey and meta-analysis,.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Toward general-purpose robots via founda- tion models: A survey and meta-analysis,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:54.795894Z

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Observation c7aa4f06-5f3a-44a5-82dd-ae7ebe38e861 · outbound

This paper cites Language-Conditioned Imitation Learning for Robot Manipulation Tasks.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Language-Conditioned Imitation Learning for Robot Manipulation Tasks

Reference 31

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Observation abef772a-019d-4fa3-b695-0fff494518b8 · outbound

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ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Autogpt+p: Affordance- based task planning using large language models,

Reference 32

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Observation 3633a99e-1b4a-409e-8b51-0b8c1f9c2bd7 · outbound

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ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Open-vocabulary Queryable Scene Representations for Real World Planning

Reference 33

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Observation b65da6f6-962c-4290-916c-16f5a89c343b · outbound

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ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Text2motion: from natural language instructions to feasible plans,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:54.454016Z

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Observation d0cea93c-5ff0-430d-b019-33f1ccc9a4b3 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 35

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This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 36

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ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Least-to- most prompting enables complex reasoning in large language models,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:54.300132Z

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Observation 75041187-1475-404c-bf59-828a213f0523 · outbound

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ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph You Only Look Once: Unified, Real-Time Object Detection

Reference 38

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ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph ViDAS: Vision-based Danger Assessment and Scoring

Reference 39

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Observation a359b5d5-1fe3-4741-bf39-7cbf51db99ab · outbound

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ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph The ycb object and model set: Towards common benchmarks for manipulation research,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:54.140281Z

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Observation c80d3d74-d057-471d-a38a-9bd71e2d78b5 · outbound

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ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Benchmarking in manipulation research: Using the yale-cmu- berkeley object and model set,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:54.008538Z

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Observation 26d3b34f-fea8-489a-8dc7-a88135fadbbc · outbound

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ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items

Reference 42

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ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Reference 43

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ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Learning Transferable Visual Models From Natural Language Supervision

Reference 44

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This paper cites Cliport: What and where pathways for robotic manipulation,.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Cliport: What and where pathways for robotic manipulation,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:53.855441Z

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Observation 93bbf8eb-f3dc-467c-9310-effbfd9682fe · outbound

This paper cites SafePlan: Leveraging Formal Logic and Chain-of-Thought Reasoning for Enhanced Safety in LLM-based Robotic Task Planning.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph SafePlan: Leveraging Formal Logic and Chain-of-Thought Reasoning for Enhanced Safety in LLM-based Robotic Task Planning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T13:32:48.990310Z

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Observation 8d081ff4-95bf-4162-adc0-06c11ab1b03b · outbound

This paper cites Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-05T13:32:49.054041Z

Source-reported events for the cited work

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Observation aefe27ec-a0c6-4b07-8865-281db32d7d7d · outbound

This paper cites Safeagentbench: A benchmark for safe task planning of embodied llm agents,.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Safeagentbench: A benchmark for safe task planning of embodied llm agents,

Reference 48

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Observation 32594c01-ce13-48e4-9c0b-b228a9f85d6c · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph ReAct: Synergizing Reasoning and Acting in Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T13:32:49.199589Z

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Observation fd258555-2300-4d82-857d-18f4747b9840 · outbound

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ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:32:53.590947Z

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Observation 01f7d5c1-cebc-43b2-ad88-0c4f65af6dff · outbound

This paper cites an unresolved cited work.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:32:53.447930Z

Source-reported events for the cited work

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Observation 733ddcd7-2379-42e5-8edc-51889b0211db · outbound

This paper cites I MPLICIT.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph I MPLICIT

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:53.285684Z

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.

Observation 922000ab-a3be-4e4c-b512-1fe58c135ed4 · outbound

This paper cites mug” is preferable over “cup.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph mug” is preferable over “cup

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:53.145227Z

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.

Observation 57ff5258-a80b-4bc9-86e5-7d88e6ee6d1c · outbound

This paper cites For each instruction, some objects have been intentionally selected as they can mislead a standard planner.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph For each instruction, some objects have been intentionally selected as they can mislead a standard planner

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:52.953154Z

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

Observation 92a488b3-9c68-4435-b1d2-0e8a5b2c53fa · outbound

This paper cites While ConceptNet provides useful relationships to enhance the reasoning of ConceptBot, it is not specifically designed for botanical or zoological knowledge.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph While ConceptNet provides useful relationships to enhance the reasoning of ConceptBot, it is not specifically designed for botanical or zoological knowledge

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:52.729156Z

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.

Observation 933f04f9-ff6b-4d35-a00d-86cea938ebfa · outbound

This paper cites The LLM utilizes semantic relationships extracted from ConceptNet to infer these properties and assign the appropriate risk level.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph The LLM utilizes semantic relationships extracted from ConceptNet to infer these properties and assign the appropriate risk level

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:52.554895Z

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.

Observation c9ba68a8-dade-4b70-9a48-d9c8cd46230f · outbound

This paper cites The system identifies how an object’s risk level is affected by being placed near or interacting with another object.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph The system identifies how an object’s risk level is affected by being placed near or interacting with another object

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:52.333947Z

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.

Observation ca599eaa-b202-4438-8b28-a576b197b313 · outbound

This paper cites an unresolved cited work.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:32:52.081551Z

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.

Observation 373d2e6c-c143-4c8d-8d37-5ba32402fabf · outbound

This paper cites However, Wikipedia often returns multiple relevant pages for a single query.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph However, Wikipedia often returns multiple relevant pages for a single query

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:51.853958Z

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.

Observation e987e73f-3d38-40ba-b114-99518086f49c · outbound

This paper cites an unresolved cited work.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:32:51.732716Z

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.

Observation dcb1ab19-78ce-45c1-b8c8-d5a708c94673 · outbound

This paper cites an unresolved cited work.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:32:51.557139Z

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.

Observation 3fcdfe6b-40b7-4fd4-a15c-1539133f17e5 · outbound

This paper cites an unresolved cited work.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:32:51.441553Z

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.

Observation abc954a5-7a4a-4817-9f3b-f7123e3a3ba4 · outbound

This paper cites dangerous,.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph dangerous,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:51.338738Z

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.

Observation 0efbdc75-5b22-4c55-b147-9f82daff3a46 · outbound

This paper cites This allows ConceptBot to use Wikipedia- derived knowledge in the same way as ConceptNet data.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph This allows ConceptBot to use Wikipedia- derived knowledge in the same way as ConceptNet data

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:51.223115Z

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.

Observation 332dff13-daa5-42bb-a764-efca52b6e690 · outbound

This paper cites • High Number of Extracted Triples: OpenIE often generates a large number of triples, increasing filtering complexity and computational cost.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph • High Number of Extracted Triples: OpenIE often generates a large number of triples, increasing filtering complexity and computational cost

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:51.118090Z

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.

Observation 1981e234-8fc6-43a8-9d45-744de45fa8d6 · outbound

This paper cites an unresolved cited work.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Unresolved cited work

Reference 164

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:32:53.729165Z

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.

Observation 63536956-02eb-432b-a0b9-a717d3a7fa56 · outbound

This paper cites Language Models are Few-Shot Learners.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Language Models are Few-Shot Learners

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-05T13:32:47.635458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e835cca-58c3-4d69-be21-708e46b547e8 · outbound

This paper cites Pre-Trained Language Models for Interactive Decision-Making.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Pre-Trained Language Models for Interactive Decision-Making

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-05T13:32:47.753089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1efa6e9b-5580-45f3-aa41-1755485f85b4 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T13:32:48.410097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 6b0bba09-7e79-4730-9ba8-8b6e68f95539 · inbound

Reflection-Based Task Adaptation for Self-Improving VLA cites this paper.

Reflection-Based Task Adaptation for Self-Improving VLA ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-18T07:31:02.956489Z

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.

Observation 95acbcf6-b15a-4178-b807-893aa9cbf325 · inbound

EBuddy: a workflow orchestrator for industrial human-machine collaboration cites this paper.

EBuddy: a workflow orchestrator for industrial human-machine collaboration ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-13T16:15:40.011428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.