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Paper Citation Record · LEDGER

LA-RCS: LLM-Agent-Based Robot Control System

As of 19 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2505.18214.

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

pith.paper-citation-record.v1
2505.18214 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:51:09.235469Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

54 of 54 outbound references displayed

  • verified exact2
  • verified fuzzy6
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4bebcf30-e38f-4a21-afaa-c49bd271bce1 · outbound

This paper cites Emergent Abilities of Large Language Models.

LA-RCS: LLM-Agent-Based Robot Control System Emergent Abilities of Large Language Models

Reference 1

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source=pdf_text observed=2026-08-07T14:51:04.098835Z digest=sha256:fe28781e080273d375792263399a49129bf6f5e5a6ce87175942aed5ff713a5d

Observation 05e8f2b4-6ccb-4f8c-8f32-1b3862287dfb · outbound

This paper cites A Comprehensive Overview of Large Language Models.

LA-RCS: LLM-Agent-Based Robot Control System A Comprehensive Overview of Large Language Models

Reference 2

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source=pdf_text observed=2026-08-07T14:51:04.164673Z digest=sha256:d0ccbdc3424ec80a6a43ad8b74fd346eecf0ee551125a25e278a0ee7e8afd65b

Observation 1886eb12-4a1a-4eb8-a055-d2cb048ef2b3 · outbound

This paper cites Harnessing Large Language Models for Text-Rich Sequential Recommendation.

LA-RCS: LLM-Agent-Based Robot Control System Harnessing Large Language Models for Text-Rich Sequential Recommendation

Reference 3

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source=pdf_text observed=2026-08-07T14:51:04.271265Z digest=sha256:407fac46ff0dff058945e7dc3fe2bf0f30493c7108559862e8e03d1d83ce7509

Observation e1f78c15-2d3f-48c9-82c2-24cf2c2f80c9 · outbound

This paper cites Exploring the Capabilities and Limitations of Large Language Models in the Electric Energy Sector.

LA-RCS: LLM-Agent-Based Robot Control System Exploring the Capabilities and Limitations of Large Language Models in the Electric Energy Sector

Reference 4

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local_arxiv, observed 2026-08-07T14:51:10.229720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:51:04.362826Z digest=sha256:3d8116f1c97ef0866989e1d95abb5723b1369a0d04e5c83d54ffadfa44bceb98

Observation 0f050522-af56-468b-95fb-ccb24915f2a7 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

LA-RCS: LLM-Agent-Based Robot Control System Large Language Models are Zero-Shot Reasoners

Reference 5

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source=pdf_text observed=2026-08-07T14:51:04.463070Z digest=sha256:42e0af8bc9e8c9c262e7be2a11a6e9539518745ba01bd85861735cf16f070317

Observation 2d9bec38-468f-4621-ac1b-4cfb38dae6b2 · outbound

This paper cites Training language models to follow instructions with human feedback.

LA-RCS: LLM-Agent-Based Robot Control System Training language models to follow instructions with human feedback

Reference 6

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source=pdf_text observed=2026-08-07T14:51:04.598234Z digest=sha256:3c4104b6b951fb3f6e9d95d64bf02d5612bc5f4dee4f4adc5e5713af5e38be48

Observation c7a018d9-c74a-45e9-8a86-ac8599c9525a · outbound

This paper cites Language Models are Few-Shot Learners.

LA-RCS: LLM-Agent-Based Robot Control System Language Models are Few-Shot Learners

Reference 7

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source=pdf_text observed=2026-08-07T14:51:04.734133Z digest=sha256:39ebd5a74c58f8df46a81eb3e68236fa1773a38bb6a41d0ce02641da6735cde4

Observation 458f9d93-b807-4fc4-878a-cc65a1c960a4 · outbound

This paper cites GPT-4 Technical Report.

LA-RCS: LLM-Agent-Based Robot Control System GPT-4 Technical Report

Reference 8

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source=pdf_text observed=2026-08-07T14:51:04.845608Z digest=sha256:f23bbb85ef525e94d4ca8dcb50dd718a06a7d80b44024a9a79515aaf4f0c63fe

Observation 5fe30511-8fcb-487f-9602-9c292691edac · outbound

This paper cites AdaPlanner: Adaptive Planning from Feedback with Language Models.

LA-RCS: LLM-Agent-Based Robot Control System AdaPlanner: Adaptive Planning from Feedback with Language Models

Reference 9

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source=pdf_text observed=2026-08-07T14:51:04.955350Z digest=sha256:06f50786bfc97c59928d5fd11588d237a40587b97ee6c937c0b99cf13d4125d6

Observation ece20b1c-6bc6-40e9-9b6c-d48ab6440eb5 · outbound

This paper cites Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model.

LA-RCS: LLM-Agent-Based Robot Control System Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model

Reference 10

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verified exact
local_arxiv, observed 2026-08-07T14:51:09.989146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:51:05.060782Z digest=sha256:a720e6d5422bc181b50f5e1ac2f37361f3ea7a8b208470bd484d3bb631a72088

Observation 1ef6c447-a16a-4f96-a6d4-9768c1423992 · outbound

This paper cites Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.

LA-RCS: LLM-Agent-Based Robot Control System Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

Reference 11

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source=pdf_text observed=2026-08-07T14:51:05.153570Z digest=sha256:085bfde8f52a54ab74379ec853b18c9c4d51c06727bd0a74adc684397ee6121e

Observation f5bde0b2-ca05-4e48-90ce-8d2ca28116ef · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

LA-RCS: LLM-Agent-Based Robot Control System Flamingo: a Visual Language Model for Few-Shot Learning

Reference 12

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source=pdf_text observed=2026-08-07T14:51:05.230269Z digest=sha256:b025fb41af3ac4de78a785d9330f610d1127d7951b60a6400beefb28ce0b1eb3

Observation 71f8190f-6cb2-4dec-818f-fcf540a2c64d · outbound

This paper cites UNITER: UNiversal Image-TExt Representation Learning.

LA-RCS: LLM-Agent-Based Robot Control System UNITER: UNiversal Image-TExt Representation Learning

Reference 13

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source=pdf_text observed=2026-08-07T14:51:05.354331Z digest=sha256:ee8b9fb78154df62d43915a814b84f68bb56b2efa90ccae160dde09c02f8bff9

Observation 0e048eb9-24e4-41dc-8c59-90d89eaa74ae · outbound

This paper cites The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision).

LA-RCS: LLM-Agent-Based Robot Control System The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)

Reference 14

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source=pdf_text observed=2026-08-07T14:51:05.471332Z digest=sha256:7085d7e959afa7e3363f5125e677e5d80eb21dcad6703cce8715b14571dad7de

Observation f1aa810f-7ab7-44ac-95c1-f22fe6ab080d · outbound

This paper cites GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks.

LA-RCS: LLM-Agent-Based Robot Control System GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks

Reference 15

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source=pdf_text observed=2026-08-07T14:51:05.560495Z digest=sha256:664eaee7a834892daa92ee93e21afdc8d2ec7bcd3b0aa9183673364dba4ac2d8

Observation aeac433e-09a3-483c-8165-b0f104ac15cf · outbound

This paper cites GPT-4V(ision) is a Generalist Web Agent, if Grounded.

LA-RCS: LLM-Agent-Based Robot Control System GPT-4V(ision) is a Generalist Web Agent, if Grounded

Reference 16

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source=pdf_text observed=2026-08-07T14:51:05.651021Z digest=sha256:3aadd56e2f323ff2ec6b6a3e0a102dcf79bccb5164e1bb14de9d59d399039037

Observation 9ecf68e8-cc87-4cb2-ba13-79df93a487a2 · outbound

This paper cites UFO: A UI-Focused Agent for Windows OS Interaction.

LA-RCS: LLM-Agent-Based Robot Control System UFO: A UI-Focused Agent for Windows OS Interaction

Reference 17

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source=pdf_text observed=2026-08-07T14:51:05.755881Z digest=sha256:ad901607688aa982f473ec07f5b7cb746bc9db3858bf5df5c9b5ca528ac1d185

Observation 09277129-eaf3-4310-aef3-53ff4c0749eb · outbound

This paper cites AIOS: LLM Agent Operating System.

LA-RCS: LLM-Agent-Based Robot Control System AIOS: LLM Agent Operating System

Reference 18

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source=pdf_text observed=2026-08-07T14:51:05.892207Z digest=sha256:41a9b4484c6d325924d1e5d7c0cff1e128d8165465b09fd89522764b603ee6ce

Observation 12637971-0034-4c45-abfa-b7b686644116 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

LA-RCS: LLM-Agent-Based Robot Control System Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 19

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source=pdf_text observed=2026-08-07T14:51:06.000798Z digest=sha256:65bc4018ec647a21a7e25a116bd03f13b611be5598ba3a6338d669c9ad348066

Observation 8cb72a9a-ddd6-4075-8e2e-986bed31e16d · outbound

This paper cites Mind2Web: Towards a Generalist Agent for the Web.

LA-RCS: LLM-Agent-Based Robot Control System Mind2Web: Towards a Generalist Agent for the Web

Reference 20

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source=pdf_text observed=2026-08-07T14:51:06.113256Z digest=sha256:47ebbc75a8479a1c91d5836eb756d2230cc30cdc463d999081dc0b966ae7065f

Observation 2e6ce334-9b07-4f3f-8303-4cc2daf6239f · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

LA-RCS: LLM-Agent-Based Robot Control System Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 21

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source=pdf_text observed=2026-08-07T14:51:06.196706Z digest=sha256:606877426c121d92bc80f42692ec361708e056906cbf7d3068e560da7cf31d1c

Observation 99ebe416-7864-4e76-a080-8a2f234c8ca2 · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

LA-RCS: LLM-Agent-Based Robot Control System Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 22

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source=pdf_text observed=2026-08-07T14:51:06.278763Z digest=sha256:df5fb85fe9be4435d6a7314545a66048acdeb94a3d196b32b07518d2bce30645

Observation 2e7e96c5-41c5-4d20-956a-a60f9c62632a · outbound

This paper cites NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation.

LA-RCS: LLM-Agent-Based Robot Control System NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation

Reference 23

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source=pdf_text observed=2026-08-07T14:51:06.389156Z digest=sha256:cc7d0f322e092e64ef47f853df4ce724c01b26a2922f4f1e0e1b5d3cb91da300

Observation 343e5c9b-257c-43d4-a103-2231df37532a · outbound

This paper cites & Srinadh, K.V .S.

LA-RCS: LLM-Agent-Based Robot Control System & Srinadh, K.V .S

Reference 24

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source=pdf_text observed=2026-08-07T14:51:06.506986Z digest=sha256:991ae1e29bf188222f48b7a28240d669cbf768889e897cbe31f06dfcb4a2642b

Observation 148c9b5a-085a-46bb-b136-d09608c0da2f · outbound

This paper cites GPT-4V(ision) for Robotics: Multimodal Task Planning from Human Demonstration.

LA-RCS: LLM-Agent-Based Robot Control System GPT-4V(ision) for Robotics: Multimodal Task Planning from Human Demonstration

Reference 25

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source=pdf_text observed=2026-08-07T14:51:06.658147Z digest=sha256:1a53f8dc407c6f350d23eebd64610c7a0713421aa8e8204890fae9a45e50a54a

Observation 43598ca3-770c-4160-a0d1-d101e6120b09 · outbound

This paper cites Large Language Models for Robotics: Opportunities, Challenges, and Perspectives.

LA-RCS: LLM-Agent-Based Robot Control System Large Language Models for Robotics: Opportunities, Challenges, and Perspectives

Reference 26

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source=pdf_text observed=2026-08-07T14:51:06.739114Z digest=sha256:2d955c2e03bb5708cf65f8ffdeb1bcd8d0b49ebf666290139e7ed187c746252a

Observation 51e9a454-787b-427e-99aa-6daaa6082706 · outbound

This paper cites Enhancing the LLM-Based Robot Manipulation Through Human-Robot Collaboration.

LA-RCS: LLM-Agent-Based Robot Control System Enhancing the LLM-Based Robot Manipulation Through Human-Robot Collaboration

Reference 27

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source=pdf_text observed=2026-08-07T14:51:06.887012Z digest=sha256:0a4363b81b4d4950d538a8ad605019fba93b67a6fca63321a56d041380c25b61

Observation 2d7aecea-7224-41e1-b6e3-441503f16c85 · outbound

This paper cites LLM-Based Human-Robot Collaboration Framework for Manipulation Tasks.

LA-RCS: LLM-Agent-Based Robot Control System LLM-Based Human-Robot Collaboration Framework for Manipulation Tasks

Reference 28

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source=pdf_text observed=2026-08-07T14:51:06.972567Z digest=sha256:ac7e205d73f229621f3bb77a3e6af465f35f6645aa264db24ecfd0425e6ad69b

Observation d14ec8d7-cc53-4a0f-8edd-68c5e594dfc6 · outbound

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

LA-RCS: LLM-Agent-Based Robot Control System ReAct: Synergizing Reasoning and Acting in Language Models

Reference 29

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source=pdf_text observed=2026-08-07T14:51:07.054447Z digest=sha256:065bc3ec1194363c1db0ef14b6a8950048349d1404bb56310f14fcb010fd8ef5

Observation ede81c4b-7454-40d4-96c8-939bfe18e53f · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

LA-RCS: LLM-Agent-Based Robot Control System The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 30

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source=pdf_text observed=2026-08-07T14:51:07.161693Z digest=sha256:7aaae5cfd90705fa454789f37bfc146910a2ab05d6408ad89edaca725f022641

Observation a6d1fec4-292e-408c-a121-83ee7123f39a · outbound

This paper cites A Survey on Large Language Model based Autonomous Agents.

LA-RCS: LLM-Agent-Based Robot Control System A Survey on Large Language Model based Autonomous Agents

Reference 31

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source=pdf_text observed=2026-08-07T14:51:07.308978Z digest=sha256:d4992bc92a549d2bc6a1f5072ccbbc474089877b135aa6a17300a55707e306a2

Observation 82934570-0310-428b-824c-d70588a22f73 · outbound

This paper cites an unresolved cited work.

LA-RCS: LLM-Agent-Based Robot Control System Unresolved cited work

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:51:07.429856Z digest=sha256:aaf8f9a81eed01635c0206348ccf2653a3324c8afa74e6f0eb692484a0a2b452

Observation d0892602-5863-4069-93c0-9d973bec4014 · outbound

This paper cites TaskWeaver: A Code-First Agent Framework.

LA-RCS: LLM-Agent-Based Robot Control System TaskWeaver: A Code-First Agent Framework

Reference 33

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source=pdf_text observed=2026-08-07T14:51:07.514386Z digest=sha256:6c9fb148a5b3aee3f43b2fd8ef93f28ba5e4502a40f24666f7ec228368bfd42f

Observation c1b730fb-9ed7-485d-a071-0fb0a66438c1 · outbound

This paper cites LangChain, October 2022.

LA-RCS: LLM-Agent-Based Robot Control System LangChain, October 2022

Reference 34

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raw_fallback, observed 2026-08-07T14:51:11.174246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:51:07.591800Z digest=sha256:a3ab56f640aa1a8377d1e524b2eb92f121ee91ac521a8b1d674bafbbeb05ccd2

Observation 6d625a84-e4ff-4dc2-ab3d-992c974de214 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

LA-RCS: LLM-Agent-Based Robot Control System AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 35

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source=pdf_text observed=2026-08-07T14:51:07.647310Z digest=sha256:2bddad0fd85e671b4e488fe213f343a397832eb9482080d2ece4e50e21431da1

Observation ed88fb16-1a27-4663-9672-95adb36d9bf2 · outbound

This paper cites URL https://github.com/crewAIInc/crewAI.

LA-RCS: LLM-Agent-Based Robot Control System URL https://github.com/crewAIInc/crewAI

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-07T14:51:11.020667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:51:07.732641Z digest=sha256:ab47f522aaa1c7d28f4f3f0ccf08f12c0dd5eb1b754bb0293195c9b8e612b958

Observation 1b946b08-7331-47aa-8eee-5a2a19846890 · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

LA-RCS: LLM-Agent-Based Robot Control System MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 37

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source=pdf_text observed=2026-08-07T14:51:07.808470Z digest=sha256:b02fd942f45eac1941bde4b53c6898c1e28ca6beb1fe6f30501445d1da9c3c6f

Observation 5c13e698-9261-4b2a-980e-b69c8367e99a · outbound

This paper cites URL https://github.com/langchain-ai/langgraph.

LA-RCS: LLM-Agent-Based Robot Control System URL https://github.com/langchain-ai/langgraph

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:10.872903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:51:07.914661Z digest=sha256:c7b5bb2b9afbaecb8dfa70e6243a37d262a6af9fe31dc95bf6f72ab124b3db49

Observation 2ab7455f-0b68-497e-a647-27c16412cfe7 · outbound

This paper cites AutoAgents: A Framework for Automatic Agent Generation.

LA-RCS: LLM-Agent-Based Robot Control System AutoAgents: A Framework for Automatic Agent Generation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:07.992742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:07.992742Z digest=sha256:05ddbdb5432fcdbae29b1d9c4fda4273fa644f6252d182bbecb890112923f9dc

Observation 5134e661-e27a-48a7-8b5c-a39d9ac335ca · outbound

This paper cites ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning.

LA-RCS: LLM-Agent-Based Robot Control System ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:08.109387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:08.109387Z digest=sha256:2b365283d54e9706897e0d8c0c247b52feae059811d3e575186d52d51d77e029

Observation 4bd1a6bb-f872-47c4-aba1-2cf325a5c235 · outbound

This paper cites Language Models as Zero-Shot Trajectory Generators.

LA-RCS: LLM-Agent-Based Robot Control System Language Models as Zero-Shot Trajectory Generators

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:08.198389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:08.198389Z digest=sha256:e2bfaa5e3846b85a1559bff82ac06d6f7f5af57edac65dedb7c15be0644f579c

Observation a6e35b73-2be5-4225-b6a1-5d66a7f4e2b2 · outbound

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

LA-RCS: LLM-Agent-Based Robot Control System Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:08.262493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:08.262493Z digest=sha256:1c7b5afb3b906dba04b20f1e36fef3f93cc1610c149ffa2b200eec6101d954ef

Observation d23ea816-fdb2-43e3-a0e7-758c9ad91031 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

LA-RCS: LLM-Agent-Based Robot Control System RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:08.327125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:08.327125Z digest=sha256:d76cc876248dc535a6fd59c2bf6c771f8774dc4db43ec30375b864fc01d05415

Observation 406e8164-6fb4-47d0-859d-38f1fbc1c37d · outbound

This paper cites Brown, B.

LA-RCS: LLM-Agent-Based Robot Control System Brown, B

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:10.704192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:51:08.394813Z digest=sha256:05ef2db0bc1ddcc028e08cfc7784deb262a7b74d5ea606b5d3199cbc1ea84d5e

Observation e3ff7edd-c48a-4815-b0dc-4b8121f70be5 · outbound

This paper cites Text2Motion: From Natural Language Instructions to Feasible Plans.

LA-RCS: LLM-Agent-Based Robot Control System Text2Motion: From Natural Language Instructions to Feasible Plans

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:08.512399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:08.512399Z digest=sha256:be01d74bdd54065576f62274fad37aaf21feb89f6b55c2c6ceaa1176cc826ae6

Observation 23e619f6-4d90-487e-b6fa-119a0a730875 · outbound

This paper cites ChatGPT for Robotics: Design Principles and Model Abilities.

LA-RCS: LLM-Agent-Based Robot Control System ChatGPT for Robotics: Design Principles and Model Abilities

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:08.586369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:08.586369Z digest=sha256:bd5512a88ffad449ef32492e235a824950a744863656ffc3a24d9fa2f392f7e1

Observation 6d646ae5-f550-4aa7-9c8e-062003795a02 · outbound

This paper cites ProgPrompt: Generating Situated Robot Task Plans using Large Language Models.

LA-RCS: LLM-Agent-Based Robot Control System ProgPrompt: Generating Situated Robot Task Plans using Large Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:08.654843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:08.654843Z digest=sha256:a4e4862195857521e3fd4f8564ef280dd86017c82c25d31090f922d72e341e3f

Observation 89314e6c-89b9-41bf-a25b-c130c30905a0 · outbound

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

LA-RCS: LLM-Agent-Based Robot Control System Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:08.780937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:08.780937Z digest=sha256:3b468e6aa6983bf9ec38ebcc0b49940e981fd02f9e7f075be4dbccdb7df8f880

Observation 6c7706aa-8abd-4102-9a62-2b5d4c47a501 · outbound

This paper cites an unresolved cited work.

LA-RCS: LLM-Agent-Based Robot Control System Unresolved cited work

Reference 49

Resolution
verified exact
raw_fallback, observed 2026-08-07T14:51:09.510217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:51:08.880993Z digest=sha256:9328ef39eac657a43c3f92589e90b38688b123e70c9f4dce9e2a5c06f9180120

Observation 105a4519-71f5-4b9f-9b9e-1c57e85680f2 · outbound

This paper cites OpenAGI: When LLM Meets Domain Experts.

LA-RCS: LLM-Agent-Based Robot Control System OpenAGI: When LLM Meets Domain Experts

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:10.582384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:51:08.950950Z digest=sha256:092b26ffc4dea8a5a2cfcba8eea4e9aca52c24e83c92d93d4bca3d4f62e0c75d

Observation deb5ba19-69f7-44a2-99d3-d97fbd5bdd32 · outbound

This paper cites ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases.

LA-RCS: LLM-Agent-Based Robot Control System ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:09.020434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:09.020434Z digest=sha256:2f363ddc30c51ddd7c53dd4d1ae7bce3bd3b483adda0e5e02719843da04e35eb

Observation 4e41d19d-cad1-4ade-b43a-219e570e14fe · outbound

This paper cites AppAgent: Multimodal Agents as Smartphone Users.

LA-RCS: LLM-Agent-Based Robot Control System AppAgent: Multimodal Agents as Smartphone Users

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:09.098064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:09.098064Z digest=sha256:1caa88f9dabf9cbbcb48da1f0a229f39b419ef4611d048185154d5c508f80057

Observation b83dfc61-086b-4880-8bce-6c9eb2b73d84 · outbound

This paper cites Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception.

LA-RCS: LLM-Agent-Based Robot Control System Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:09.166256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:09.166256Z digest=sha256:1e6224ddd18587b2e2e0536d7dc689588c02c7abf3038fb8dc596706470490f1

Observation e0bdb47c-f5a2-4a73-ae6b-09ab0025cbee · outbound

This paper cites Minedojo: Building open-ended embodied agents with internet-scale knowledge.

LA-RCS: LLM-Agent-Based Robot Control System Minedojo: Building open-ended embodied agents with internet-scale knowledge

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:10.429992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:51:09.235469Z digest=sha256:36c232e186c547a534409d8503833dc72c2ab120121b5ec4eb94aac28d88b7ac

Pith citing papers

No inbound Pith citation observations are available.