Paper Citation Record · LEDGER

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems

As of 16 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2608.07004.

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

pith.paper-citation-record.v1
2608.07004 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:50:56.582204Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

34 of 34 outbound references displayed

verified exact2
verified fuzzy23
unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4306299d-71bc-4590-926d-e88d4fa67fb4 · outbound

This paper cites A shared control framework for enhanced grasping performance in teleoperation,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems A shared control framework for enhanced grasping performance in teleoperation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:57.314053Z

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Observation 622829da-abde-42e4-ba70-93de2a083d00 · outbound

This paper cites Uncertainty- aware hybrid modeling for spatial thermal forecasting in historic buildings with incomplete structural information,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Uncertainty- aware hybrid modeling for spatial thermal forecasting in historic buildings with incomplete structural information,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:57.290496Z

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Observation 294d9bcd-483d-4777-91f6-14e02e7679ed · outbound

This paper cites Comparison study between open-loop and closed-loop identification for industrial hydraulics actuator system,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Comparison study between open-loop and closed-loop identification for industrial hydraulics actuator system,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:57.272419Z

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Observation dd47e1c3-e443-4b20-9067-6da474634c7b · outbound

This paper cites Ogata,Modern control engineering.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Ogata,Modern control engineering

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:57.249981Z

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Observation 29338cd9-0261-4684-98e6-0914dbed8671 · outbound

This paper cites A bridge between state-space and transfer-function meth- ods,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems A bridge between state-space and transfer-function meth- ods,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:57.234603Z

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Observation 044d5f17-5cda-4072-85e3-d16b34223991 · outbound

This paper cites Data-driven methods applied to soft robot modeling and control: A review,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Data-driven methods applied to soft robot modeling and control: A review,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:57.218117Z

Source-reported events for the cited work

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Observation f638313d-6856-40e9-a299-c8953b1b47a2 · outbound

This paper cites Robust safety-critical control for dynamic robotics,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Robust safety-critical control for dynamic robotics,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:57.201256Z

Source-reported events for the cited work

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Observation f573000b-8c9f-4b83-a99f-631fd1eec2a3 · outbound

This paper cites Llm- based test-driven interactive code generation: User study and empirical evaluation,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Llm- based test-driven interactive code generation: User study and empirical evaluation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:57.184796Z

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Observation ed92166b-bfa8-4fa3-9503-e5937101f3de · outbound

This paper cites Large lan- guage models are zero-shot reasoners,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Large lan- guage models are zero-shot reasoners,

Reference 9

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Observation 456905e3-ed5e-4d37-bbc0-1d8ac9de7d83 · outbound

This paper cites Mathematical capabilities of chatgpt,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Mathematical capabilities of chatgpt,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:57.156873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0360af11-273b-4c1f-8665-0d3817446092 · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T16:50:56.473172Z

Source-reported events for the cited work

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Observation c0da4ca9-84a1-4210-a15e-71921dac036f · outbound

This paper cites Llm adaptive pid control for b5g truck platooning systems,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Llm adaptive pid control for b5g truck platooning systems,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:57.141441Z

Source-reported events for the cited work

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Observation 0c04355c-9a5d-46e3-99e9-504dadeaa291 · outbound

This paper cites ControlAgent: Automating Control System Design via Novel Integration of LLM Agents and Domain Expertise.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems ControlAgent: Automating Control System Design via Novel Integration of LLM Agents and Domain Expertise

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T16:50:56.484230Z

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Observation f7cbe411-06ab-489b-8d3a-bc5887c74af5 · outbound

This paper cites AgenticControl: An Automated Control Design Framework Using Large Language Models.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems AgenticControl: An Automated Control Design Framework Using Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T16:50:56.489554Z

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Observation 2ab28dba-fb9a-444b-807b-ad79e56e1255 · outbound

This paper cites Smartcontrol: Interactive pid controller design powered by llm agents and control system expertise,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Smartcontrol: Interactive pid controller design powered by llm agents and control system expertise,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:57.124483Z

Source-reported events for the cited work

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Observation 730d8408-4907-407c-a2c2-3543c3d1c26f · outbound

This paper cites Large language model- based tuning assistant for variable speed pmsm drive with cascade control structure,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Large language model- based tuning assistant for variable speed pmsm drive with cascade control structure,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:57.106953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9c736752-3aba-4a8d-a251-6726c00cc5c2 · outbound

This paper cites Agentic ai for real-time adaptive pid control of servo motor,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Agentic ai for real-time adaptive pid control of servo motor,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:57.085783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 64b0589e-d559-458a-a6d1-58cc05cb36ac · outbound

This paper cites Toward engineering agi: Benchmarking the en- gineering design capabilities of llms,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Toward engineering agi: Benchmarking the en- gineering design capabilities of llms,

Reference 18

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Observation 458f117f-586c-4647-a28b-f1baf2ac1ddf · outbound

This paper cites Llm-based pid controller optimization,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Llm-based pid controller optimization,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:57.066961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 83c36e8e-f631-4de0-a8af-984db1997df0 · outbound

This paper cites LLM-Agent-Controller: A Universal Multi-Agent Large Language Model System as a Control Engineer.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems LLM-Agent-Controller: A Universal Multi-Agent Large Language Model System as a Control Engineer

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:50:56.677466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 79eb1314-7c55-4515-a363-7effca5f8d3b · outbound

This paper cites Mrac-llm toolbox: An interactive model reference adaptive control enhanced with large language models,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Mrac-llm toolbox: An interactive model reference adaptive control enhanced with large language models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:57.050664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 15c4d954-2597-4212-aa08-84098fea2c4f · outbound

This paper cites Llm-guided adaptive compensator: Bringing adaptivity to robotic feedback control with large language model,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Llm-guided adaptive compensator: Bringing adaptivity to robotic feedback control with large language model,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:57.034217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 36edd976-03e3-4ca9-959b-bd98aeda921c · outbound

This paper cites When control meets large language models: From words to dynamics,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems When control meets large language models: From words to dynamics,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:57.013070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ad1d8bab-1f9b-454a-899e-9a2e488a9756 · outbound

This paper cites Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T16:50:56.534435Z

Source-reported events for the cited work

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Observation b7951031-dd2e-40e9-91ac-c8d88611efc5 · outbound

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Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:50:56.995501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 258c337c-1bfe-4b72-ad58-1562797775c1 · outbound

This paper cites an unresolved cited work.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T16:50:56.543587Z

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Observation 211e6c3d-fa36-46c3-b20a-b8c61c666dac · outbound

This paper cites A gan based pid controller for highly adaptive control of a pneumatic-artificial-muscle driven antagonistic joint,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems A gan based pid controller for highly adaptive control of a pneumatic-artificial-muscle driven antagonistic joint,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:56.970131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation addf69e3-d710-4ec7-9093-b94e96619d25 · outbound

This paper cites an unresolved cited work.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:50:56.953045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4cb3e7ab-b750-44c4-970b-7da62d08f2c0 · outbound

This paper cites Skogestad and I.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Skogestad and I

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:56.935080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c6ebf2d3-8086-4510-afc5-bba978b1ef80 · outbound

This paper cites Model- based control of soft robots: A survey of the state of the art and open challenges,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Model- based control of soft robots: A survey of the state of the art and open challenges,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:56.918102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 43e00bd8-064f-49d0-9ebb-53fc7a1273df · outbound

This paper cites Offline-trained gan-augmented highly adaptive control with multi-dof fusion for pneumatic soft surgical robots,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Offline-trained gan-augmented highly adaptive control with multi-dof fusion for pneumatic soft surgical robots,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:56.900963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 58bf2f65-c0f2-473f-a9d6-3d2089d08292 · outbound

This paper cites Experimental comparison of control strategies for a periph- eral nerve interface actuator,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Experimental comparison of control strategies for a periph- eral nerve interface actuator,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:56.883920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 438c4cdf-6974-4e62-8d15-e27861a6ac4a · outbound

This paper cites Cloud to Edge: Benchmarking LLM Inference On Hardware-Accelerated Single-Board Computers.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Cloud to Edge: Benchmarking LLM Inference On Hardware-Accelerated Single-Board Computers

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:50:56.626724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d7c43d9e-6d97-4d5d-8b8b-2e5f070e20e9 · outbound

This paper cites Optimization of spring constant of a pneumatic artificial muscle-spring driven antagonistic structure,.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Optimization of spring constant of a pneumatic artificial muscle-spring driven antagonistic structure,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:50:56.864948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

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