Paper Citation Record · LEDGER

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins

As of 21 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2606.08214.

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

pith.paper-citation-record.v1
2606.08214 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T19:40:14.025402Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

27 of 27 outbound references displayed

verified exact1
verified fuzzy0
unresolved26
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2e057877-43d4-4379-9fec-b669dc623c00 · outbound

This paper cites Role of Generative AI in AI-based digital twins in Industry 5.0 and evolution to Industry 6.0,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins Role of Generative AI in AI-based digital twins in Industry 5.0 and evolution to Industry 6.0,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation 3245e8db-a87f-4b84-a0d6-e61f8fc76c14 · outbound

This paper cites Industry 6.0: New generation of industry driven by Generative AI and swarm of heterogeneous robots,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins Industry 6.0: New generation of industry driven by Generative AI and swarm of heterogeneous robots,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation beab8392-1569-45d6-bd43-1fcc1c5d8564 · outbound

This paper cites A large language model-based manufacturing process planning approach under Industry 5.0,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins A large language model-based manufacturing process planning approach under Industry 5.0,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation 0b858c4f-fbe1-41ca-9c61-51fca766c3f5 · outbound

This paper cites Towards a next-generation LLM empowered low-code programming industrial robotic system for human-centric smart man- ufacturing,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins Towards a next-generation LLM empowered low-code programming industrial robotic system for human-centric smart man- ufacturing,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation 916bc9b8-8141-4cfd-b9a2-4991c0cfc392 · outbound

This paper cites Embodied intelligence in manufacturing: Leveraging large language models for autonomous industrial robotics,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins Embodied intelligence in manufacturing: Leveraging large language models for autonomous industrial robotics,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Unavailable: canonical work link unavailable.

Observation 12a813e1-10b5-4982-a913-e19445638651 · outbound

This paper cites LLM- driven agent for speech-enabled control of industrial robots: A case study in snow-crab quality inspection,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins LLM- driven agent for speech-enabled control of industrial robots: A case study in snow-crab quality inspection,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation 9d9cd1d8-c51e-41cf-aac2-bb4d799cea9e · outbound

This paper cites Environment-driven and LLM-guided multi-robot task inference and allocation under temporal logic speci- fications,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins Environment-driven and LLM-guided multi-robot task inference and allocation under temporal logic speci- fications,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation f60ff904-2e75-4a24-b649-0c789fa5eb6c · outbound

This paper cites Task planning for a factory robot using large language model,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins Task planning for a factory robot using large language model,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation 37fde758-91ee-42fe-8085-2206ac4a7520 · outbound

This paper cites LLM- MTMP: A large language model-based multi-agent task and motion planning framework for power inspection robots,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins LLM- MTMP: A large language model-based multi-agent task and motion planning framework for power inspection robots,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation 86dd7cdf-8d95-4c24-be05-c5244baeef4e · outbound

This paper cites Leveraging large language models to empower Bayesian networks for reliable human- robot collaborative disassembly sequence planning in remanufacturing,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins Leveraging large language models to empower Bayesian networks for reliable human- robot collaborative disassembly sequence planning in remanufacturing,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation 7543ca15-b150-4a36-8fb4-a04b8bd268f7 · outbound

This paper cites Integrated task and motion planning,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins Integrated task and motion planning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation 7527ff24-9cbc-4e3d-9154-403ae80bde39 · outbound

This paper cites Do as I can, not as I say: Grounding language in robotic affordances,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins Do as I can, not as I say: Grounding language in robotic affordances,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation d6cd70e3-46dd-4dcc-947e-594a44385c36 · outbound

This paper cites Code as policies: Language model programs for embodied control,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins Code as policies: Language model programs for embodied control,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation cc62f5ff-6dd3-46f1-a868-a720ed056781 · outbound

This paper cites Autogen: Enabling next-gen LLM applications via multi-agent conversations,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins Autogen: Enabling next-gen LLM applications via multi-agent conversations,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation b7646200-3ba8-4f61-8a01-3f21b921f519 · outbound

This paper cites Ai-driven multi-agent demand response framework for resi- dential load optimization using CrewAI,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins Ai-driven multi-agent demand response framework for resi- dential load optimization using CrewAI,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation b73ef454-5739-41aa-80db-382029d89b84 · outbound

This paper cites Development of agentic workflows with LangGraph for software de- velopment life cycle automation,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins Development of agentic workflows with LangGraph for software de- velopment life cycle automation,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation b41357a4-c9b2-4169-8937-f85a11dc09dc · outbound

This paper cites Harness design for long-running apps,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins Harness design for long-running apps,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation 95136335-6c9d-45d9-981c-9c19ae5daa4e · outbound

This paper cites Neuro- symbolic approaches in artificial intelligence,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins Neuro- symbolic approaches in artificial intelligence,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation edfb294f-9242-4d0c-88a6-c34add128759 · outbound

This paper cites To- wards neural-symbolic grammatical inference for endangered languages using integrating graph neural networks and instruction-tuned language models,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins To- wards neural-symbolic grammatical inference for endangered languages using integrating graph neural networks and instruction-tuned language models,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation 2afcc6c9-6ab6-4467-8c97-044a45344b10 · outbound

This paper cites Building intelligent agents with neuro-symbolic concepts,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins Building intelligent agents with neuro-symbolic concepts,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation 235e0251-5d05-48bd-a35b-3875a664cf79 · outbound

This paper cites Function calling in large language models: Industrial practices, challenges, and future directions,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins Function calling in large language models: Industrial practices, challenges, and future directions,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation 8c591fe5-f058-4b9e-9cbf-d278382e6b37 · outbound

This paper cites ConstrucTwin: Digital twin-driven multirobot construction system toward Industry 5.0,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins ConstrucTwin: Digital twin-driven multirobot construction system toward Industry 5.0,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation 41d4659a-b2b8-4d5a-9500-3755644050c2 · outbound

This paper cites Establishment and 11 synchronisation of digital twins for multi-robot systems in manufactur- ing,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins Establishment and 11 synchronisation of digital twins for multi-robot systems in manufactur- ing,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation 4472e2e6-26f5-4532-b733-8fd4ae35024b · outbound

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

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins Inner monologue: Embod- ied reasoning through planning with language models,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation 8348de7a-2be3-4e04-8a9d-6acde36e93f3 · outbound

This paper cites Achieving Scalable Robot Autonomy via neurosymbolic planning using lightweight local LLM.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins Achieving Scalable Robot Autonomy via neurosymbolic planning using lightweight local LLM

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:37:24.983333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 704aa796-8de5-4556-83a2-23a87747e1b4 · outbound

This paper cites A framework for neurosymbolic robot action planning using large language models,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins A framework for neurosymbolic robot action planning using large language models,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Observation 4d91d573-28ab-4b38-ad59-75061c203b6d · outbound

This paper cites LLM-based multi-agent task planning for human-robot collaborative assembly balancing operator experience and efficiency,.

Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins LLM-based multi-agent task planning for human-robot collaborative assembly balancing operator experience and efficiency,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-27T19:40:14.025402Z

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Pith citing papers

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