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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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:db7bc64502582ef7e93bd29faaa3831e9bf6cfad91126f5a17660b3ffbd778e3

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:e16374d5e147d7586c0fcef896f317e864479af5075fee282bb63fe58f5e6bbc

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=sha256:6bcbb59c0dd71cc6ef577c7b80db34861636ca33d08ebf9d0946bc9d28fcd793

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:51:04.362826Z digest=sha256:7d4fb298d7c08a5689216e3b8c520b450a21aae9544ccaf54c6d3a53bd0e0665

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=sha256:4e7273772edb040728e81f0c48dad0ca9f3d8e5112e62a0006739ebea5b1e604

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:f73cef6214b67d8fb2e7fab4d2899383875619a63db264e4533dec2b55075bb5

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=sha256:7dbbc76a1100558e351b9e7a0ecc27ef622acf67feee29a639da7509e0bec522

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=sha256:0eb7d6e61623c456f18b980b41e9a06338e4b319df44907ce11f7759099cbfe8

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:b2afdfbe25f8a77b4d6605761087c67a8286d02398d1c357163fb66cbe6c9e3f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:51:05.060782Z digest=sha256:f0e0871c76f01f2f8393a212374f62a50571185397504395985f5cf94955af24

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=sha256:54a6db8e2d066ecf64528fd733c15c8a4512afe1b6bdef3790ba068b28ab9a69

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:ec960fb970d07f9f303dedc02f0b3af5e6527e5b47e7b2de3bd6b8d0a1de9e13

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=sha256:3e91a103033603abf33256ebf945df67664b0f21a57c9b9738ccbb83add6eead

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=sha256:1c3911257cdeac3d41154d5c77cf44391a784446b3d24726425f1fb5ff2b071c

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=sha256:04472f705085c95b804e065307ea6078b12db24d3a988f6fcd58c9f5eee10dd8

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:e6ddf27ff38efd691dedb6df48018e42abfc1d5fd5fc7bff9e48169b30a45152

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=sha256:06019ce2ba2d1e417cd9bbfe03f30519f0a150b3fbb05053891d13b85e78b37b

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:f5aec1c3a8eb2d857ff036432c2561f164d4a0bc24271df58fae83fde867eae8

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=sha256:7323e91f6076a918915a720c7b278527a94b69fc16bceb204fa61d027820de5d

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=sha256:50bdf49a421b913d53406811df527e3fa82a2e4dea57587f384ed2b002492b54

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=sha256:9d81b43006db39a0989ab99e6e797af9aa173e2bbd51aee87bad64cfa3d8d57b

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=sha256:146629f8a03a0e02d609520ea743a13ca8bfc737c43fb652da50bf05d05170fa

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:e48b92636a4561c00937e6eeec530ee5b35246af3d5db2dc47f520a53977243b

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:b5462aded2130af3be27f82add48a31877795cf2bd960304282d468341df2bd9

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=sha256:3d1c09f44ec17eaf35086893d1bf4fd0b2595a77c66655e1ec0d990167e0360d

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=sha256:457ca571a3fbd46b9d852f8282ced8038ae415c5c95198a7f8315ca345c215b9

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:e47a099fb5a505607bbc094a1f559e8665878113e1509a8cedf878f726c58181

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=sha256:600c1ff8c14fd3128a768fb8ae3d41936f81768e24455e4a00018dca9a4e9a98

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:ca5e9ddc3d974cfe329c44eceec906d1e6d303070e79ff6701592a4c146785cb

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:d65b2bd3c9cc167ef2b43b8a4b6b8c3ca12db616802a0f4fc137e77be398bdb8

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=sha256:7d7ce59be32fed14fa2c72672ef39439e36c3fb79b93662a5fe2b52670ea8893

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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raw_fallback, observed 2026-08-07T14:51:11.313134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:51:07.429856Z digest=sha256:544dafcb545fdc44faf2d0e243d3fdfdf08212f756e911f978a4224fa86e9ef8

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:dfaa7689436a8462f19ae88cb78ecdfcf53f69351337bc8b9a95f2e345c5b160

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:51:07.591800Z digest=sha256:e794bde380a1c93276ff92d858921d0b8e674774f9ae239b44c652ed37dcafd0

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:bd1437f9d12226d6e5d1fbe0240df1fc4bb8ed155f3251b54fad97d4ffe785d6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:51:07.732641Z digest=sha256:6b042a9140d5564cab51aeb106e1f11ada7ed1c5727167753cfda657a71999de

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=sha256:90de6521d2a3854a2111973ae325f34d20983a3ee66b613189ffc603a8156212

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:51:07.914661Z digest=sha256:7c4a5730fc136c0279427fc5a3112cd6e4d33bf037c666f0d307b2dc2dc2027e

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:d3ffbf28016362bcc3e46db0b3e81a7173df2d539f399684c820d1ebe2b9b31f

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:b8000c59f141ea3ee36907a847396d7446caf62a26837c82f9eaa968fdc0e887

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:e5a15c2394abb1463de0cfe64174d38d85e04d025ef5dee859240507a94e442b

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=sha256:8d571f8a81fb5dd965b3c57a4fa588c9ed1a23a19c00ea98c21ea670121e71db

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=sha256:00602d1bf3e0e13a3ab9c17a3c00554347913f5309c5ff6d1c084c554dd97e97

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:51:08.394813Z digest=sha256:17e65d784cc70576ff235fb6df5a91b6c12807c0b094bcacb8f41f682636c807

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=sha256:58c8fd5edb285e7512c253d08d31d202c61ccfd88e15d0316ce95a62d771f686

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=sha256:7f3c377e8e25ddb17ec620d8c8a21241a3156ed0862d2c415d6ea322f9587ce8

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:b50e119a094a064a243fb70aa600b274e87de5116169b1bfc719b0f565a98f3b

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:e9808b12e769eaef66849152699f134996990fac6b8c9238b7d1a4e452cd192a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:51:08.880993Z digest=sha256:12408536cd9b3dc834e2c553fc1ddc0274ac3f0250c2c994a4d5c4c0f9a4840e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:51:08.950950Z digest=sha256:5f22678cd96afb187f86f357f7829b8c71dce5643571bf681d39cf7b3c920ff5

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:cd9c09025a566c7962e747a08eb9985f09de089ae609285f011dcafbcbbe6be9

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=sha256:05957cf2a85ed12d1ea02831fbe3f3cd705150809e14c8c08c7e91d2e099855d

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=sha256:5173741db5b8e24800150e5374d898cb8782a08073f1f2ea29e883d36fd149ac

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:51:09.235469Z digest=sha256:857e4b523633af565f2816498bc38c1b374042e204fad5910aee7b087c46cd75

Pith citing papers

No inbound Pith citation observations are available.