Paper Citation Record · LEDGER

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement

As of 23 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2502.02067.

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

pith.paper-citation-record.v1
2502.02067 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:31:47.456355Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

verified exact4
verified fuzzy19
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e47145ff-a9e7-4713-b547-5a518238b5d4 · outbound

This paper cites Coppeliasim (formerly v-rep): a versatile and scalable robot simulation framework,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Coppeliasim (formerly v-rep): a versatile and scalable robot simulation framework,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:49.194041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8876310f-3742-4925-94dd-7f95ee6f1720 · outbound

This paper cites Virtualhome: Simulating household activities via programs,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Virtualhome: Simulating household activities via programs,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:49.183190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4d6953f3-5ed4-4dc1-a153-19fafc36328e · outbound

This paper cites AI2-THOR: An Interactive 3D Environment for Visual AI.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement AI2-THOR: An Interactive 3D Environment for Visual AI

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:47.214651Z

Source-reported events for the cited work

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Observation 90e5994f-921c-4bab-849d-400c9e1a18f0 · outbound

This paper cites Decomposed Prompting: A Modular Approach for Solving Complex Tasks.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Decomposed Prompting: A Modular Approach for Solving Complex Tasks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:47.219132Z

Source-reported events for the cited work

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Observation 921925c7-cdf4-4c84-a4fe-b903512ed5b3 · outbound

This paper cites Iterated Decomposition: Improving Science Q&A by Supervising Reasoning Processes.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Iterated Decomposition: Improving Science Q&A by Supervising Reasoning Processes

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:47.223133Z

Source-reported events for the cited work

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Observation 60ef6f98-c50c-42b4-9ffa-1724c3821edc · outbound

This paper cites DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:47.226790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0e5c508-13e5-4fdd-97b7-a14966c3d6eb · outbound

This paper cites Approximate task tree retrieval in a knowledge network for robotic cooking,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Approximate task tree retrieval in a knowledge network for robotic cooking,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:49.172951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dbf75ef1-2174-401a-bdd9-17fe17c60ee4 · outbound

This paper cites From cooking recipes to robot task trees– improving planning correctness and task efficiency by leveraging llms with a knowledge network,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement From cooking recipes to robot task trees– improving planning correctness and task efficiency by leveraging llms with a knowledge network,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:49.163053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d73fef17-c369-4c32-863c-a169df1f9898 · outbound

This paper cites GPT-4 Technical Report.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement GPT-4 Technical Report

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:47.238175Z

Source-reported events for the cited work

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Observation b27a88ab-3f35-451a-a25b-2328c394d348 · outbound

This paper cites Gemma 2: Improving open language models at a practical size,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Gemma 2: Improving open language models at a practical size,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:49.152975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d3713feb-3326-4499-bcbe-4aa1e69be320 · outbound

This paper cites The Llama 3 Herd of Models.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement The Llama 3 Herd of Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:47.244913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6acfa33e-ba07-4a07-b640-767e495b7874 · outbound

This paper cites Learning Task Decomposition to Assist Humans in Competitive Programming.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Learning Task Decomposition to Assist Humans in Competitive Programming

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:47.248282Z

Source-reported events for the cited work

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Observation 92f16c07-183a-48e3-83df-d63c887b4a52 · outbound

This paper cites Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-09T13:31:48.925284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1c32a5b9-162e-41bc-9222-c40f99868974 · outbound

This paper cites Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-09T13:31:48.910591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c3f77fc0-34fe-4860-a236-f3a330bb0d90 · outbound

This paper cites TaskBench: Benchmarking Large Language Models for Task Automation.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement TaskBench: Benchmarking Large Language Models for Task Automation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:47.258759Z

Source-reported events for the cited work

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Observation 7d9a7e0e-6b1e-461c-a986-e0cd283ca649 · outbound

This paper cites TDAG: A Multi-Agent Framework based on Dynamic Task Decomposition and Agent Generation.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement TDAG: A Multi-Agent Framework based on Dynamic Task Decomposition and Agent Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:47.262173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ad6f9ff-691f-4f23-bc44-6e1e70b838ba · outbound

This paper cites Semantic task planning for service robots in open worlds,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Semantic task planning for service robots in open worlds,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:49.142791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 97f6cce5-34e3-47d7-8236-cfe254c66bbf · outbound

This paper cites ADaPT: As-Needed Decomposition and Planning with Language Models.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement ADaPT: As-Needed Decomposition and Planning with Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:47.268150Z

Source-reported events for the cited work

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Observation d4717842-5f70-4261-8d2a-5e38d47352c7 · outbound

This paper cites A knowledge-based task planning approach for robot multi-task manipulation,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement A knowledge-based task planning approach for robot multi-task manipulation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:49.132905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a41411b0-3111-4c34-8f1e-76f575ede7d9 · outbound

This paper cites Roboplanner: autonomous robotic action planning via knowledge graph queries,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Roboplanner: autonomous robotic action planning via knowledge graph queries,

Reference 20

Resolution: verified exact; doi, observed 2026-08-09T13:31:47.489510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9bd45971-402d-413b-b283-893340740464 · outbound

This paper cites Towards robust one-shot task execution using knowl- edge graph embeddings,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Towards robust one-shot task execution using knowl- edge graph embeddings,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:49.123012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 49357719-9466-448c-84f9-755b2eafca55 · outbound

This paper cites Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:47.281461Z

Source-reported events for the cited work

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Observation 6feb52b6-fd1e-4f5c-97ff-bcb874506cfb · outbound

This paper cites Unifying large language models and knowledge graphs: A roadmap,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Unifying large language models and knowledge graphs: A roadmap,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:49.113444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c1f010c0-6da6-4dcd-a5c3-5d69e4ac7ec0 · outbound

This paper cites OpenFMNav: Towards Open-Set Zero-Shot Object Navigation via Vision-Language Foundation Models.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement OpenFMNav: Towards Open-Set Zero-Shot Object Navigation via Vision-Language Foundation Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:47.289207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5ba53f3-537e-4f6c-bbe2-9cf6186eb373 · outbound

This paper cites Functional object-oriented network for manipulation learning,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Functional object-oriented network for manipulation learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:49.103286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9b0db9b5-65df-43ed-b8a9-8d4f4cbf25bd · outbound

This paper cites Robot Task Planning and Situation Handling in Open Worlds.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Robot Task Planning and Situation Handling in Open Worlds

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:47.296281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb6ff4ec-c5dd-4202-b628-05f3749cd18e · outbound

This paper cites Grounding llms for robot task planning using closed-loop state feedback,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Grounding llms for robot task planning using closed-loop state feedback,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:47.402519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c658395c-aeef-4d9d-acd3-be2e464ad5c9 · outbound

This paper cites Task planning in robotics: an empirical comparison of pddl-and asp-based systems,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Task planning in robotics: an empirical comparison of pddl-and asp-based systems,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:49.093178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 536436bb-108d-41d6-b458-df8f049669cb · outbound

This paper cites Recipe1m+: A dataset for learning cross-modal embeddings for cooking recipes and food images,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Recipe1m+: A dataset for learning cross-modal embeddings for cooking recipes and food images,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:49.084054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5be30f68-b268-4c52-a37d-b9a3fab721f4 · outbound

This paper cites Towards hierarchical task decomposition using deep reinforcement learning for pick and place subtasks,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Towards hierarchical task decomposition using deep reinforcement learning for pick and place subtasks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:49.074672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bf69f4df-2859-4fb9-b6b1-9b5fe8f34fd6 · outbound

This paper cites Robot Task Planning Based on Large Language Model Representing Knowledge with Directed Graph Structures.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Robot Task Planning Based on Large Language Model Representing Knowledge with Directed Graph Structures

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:47.418429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c6fc3cc-f87b-4613-bd7b-fff057c2172a · outbound

This paper cites Reflexion: Language agents with verbal reinforce- ment learning,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Reflexion: Language agents with verbal reinforce- ment learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:49.064700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d87f4e33-4631-43e8-9e6b-aaa4721fb651 · outbound

This paper cites Hddl: An extension to pddl for expressing hierar- chical planning problems,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Hddl: An extension to pddl for expressing hierar- chical planning problems,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:49.053790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a196a28f-8d79-45d3-a931-ad635f22c5a8 · outbound

This paper cites Robotic task oriented knowledge graph for human- robot collaboration in disassembly,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Robotic task oriented knowledge graph for human- robot collaboration in disassembly,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:49.043204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 58aa4854-d2fc-4008-9a46-8a926aa39460 · outbound

This paper cites A dynamic knowledge graph approach to distributed self-driving laboratories,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement A dynamic knowledge graph approach to distributed self-driving laboratories,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:49.032158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f95a346a-5181-4a91-8d5d-72f1ad722947 · outbound

This paper cites VITAL: Interactive Few-Shot Imitation Learning via Visual Human-in-the-Loop Corrections.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement VITAL: Interactive Few-Shot Imitation Learning via Visual Human-in-the-Loop Corrections

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-09T13:31:47.527944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4ab8d4d1-545a-4858-9a0b-970313a8b208 · outbound

This paper cites Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:47.443887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37c01007-78a1-4b3b-b2ff-c3a73b920776 · outbound

This paper cites Human-in-the-loop robotic manipulation planning for collaborative assembly,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Human-in-the-loop robotic manipulation planning for collaborative assembly,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:49.021494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4b41e38f-6608-45fb-a0d7-cf52e2403f9e · outbound

This paper cites Human-In-The-Loop Machine Learning for Safe and Ethical Autonomous Vehicles: Principles, Challenges, and Opportunities.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Human-In-The-Loop Machine Learning for Safe and Ethical Autonomous Vehicles: Principles, Challenges, and Opportunities

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T13:31:47.452399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba7beada-9c39-4074-a3aa-265aebce8a37 · outbound

This paper cites A survey of human-in-the-loop for machine learning,.

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement A survey of human-in-the-loop for machine learning,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:31:49.009590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.