Paper Citation Record · LEDGER

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction

As of 17 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2607.09713.

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

pith.paper-citation-record.v1
2607.09713 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T17:21:18.459380Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

20 of 20 outbound references displayed

verified exact0
verified fuzzy0
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4deafa04-5a72-4b31-936a-3c138a073804 · outbound

This paper cites Leveraging llm agents and digital twins for fault handling in process plants,.

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction Leveraging llm agents and digital twins for fault handling in process plants,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T17:21:18.459380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddbf7902-704f-4265-8987-b6fd6db8f2ea · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T17:21:18.459380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44b4ad37-82f7-4fb6-b359-42ca8293e862 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction Chain-of-thought prompting elicits reasoning in large language models,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T17:21:18.459380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00aca0ae-b3e9-4cbc-ae65-b205e14e2d84 · outbound

This paper cites Edge computing: Vision and challenges,.

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction Edge computing: Vision and challenges,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T17:21:18.459380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa9b4edf-b350-4251-b7b3-d7a0ccfb92df · outbound

This paper cites A review of attacks, vulnerabilities, and defenses in industry 4.0 with new challenges on data sovereignty ahead,.

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction A review of attacks, vulnerabilities, and defenses in industry 4.0 with new challenges on data sovereignty ahead,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T17:21:18.459380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9a7618c-5a7e-458f-80dc-984f69773a0b · outbound

This paper cites Qwen2.5-Coder Technical Report.

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction Qwen2.5-Coder Technical Report

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T17:21:18.459380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59fafce3-23f0-44b2-87ac-786f57ee5ded · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T17:21:18.459380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a311a00b-0509-4e63-af7b-3f521eb026d9 · outbound

This paper cites From automated to autonomous process operations,.

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction From automated to autonomous process operations,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T17:21:18.459380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ab205b7-2d01-4a28-bc5f-bf9287e0ca1c · outbound

This paper cites A comparative review of large language models in engineering with emphasis on chemical engineering applications,.

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction A comparative review of large language models in engineering with emphasis on chemical engineering applications,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T17:21:18.459380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90419300-9436-4151-bdbc-98afb8ea786e · outbound

This paper cites Eureka: Human-Level Reward Design via Coding Large Language Models.

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction Eureka: Human-Level Reward Design via Coding Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T17:21:18.459380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b367414-12e3-4090-bd7b-5b4fb6c8675a · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T17:21:18.459380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dff9ee1c-60a1-4dbe-af23-84224dbc9668 · outbound

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

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction ControlAgent: Automating Control System Design via Novel Integration of LLM Agents and Domain Expertise

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T17:21:18.459380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 453196f1-5719-4d4d-9c8a-3a5125970c88 · outbound

This paper cites Autonomous industrial control using an agentic framework with large language models,.

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction Autonomous industrial control using an agentic framework with large language models,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T17:21:18.459380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e427072e-b0d0-4566-bc00-66c67de056ae · outbound

This paper cites Autonomous Control Leveraging LLMs: An Agentic Framework for Next-Generation Industrial Automation.

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction Autonomous Control Leveraging LLMs: An Agentic Framework for Next-Generation Industrial Automation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T17:21:18.459380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fada225-845d-4fdc-adf4-d1fb349fd6c3 · outbound

This paper cites Star: Bootstrapping reasoning with reasoning,.

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction Star: Bootstrapping reasoning with reasoning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T17:21:18.459380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7418241b-a99d-45f7-801c-2f81bd516874 · outbound

This paper cites Agentic ai for intent-based industrial automation,.

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction Agentic ai for intent-based industrial automation,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T17:21:18.459380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0366430c-8b81-411c-9272-a24860b6b2c6 · outbound

This paper cites Autocontrol: An end-to-end fully automated workflow for control design of building energy systems,.

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction Autocontrol: An end-to-end fully automated workflow for control design of building energy systems,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T17:21:18.459380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a3938d0-dc2d-4f3f-8962-9173b115dc94 · outbound

This paper cites Small Language Models are the Future of Agentic AI.

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction Small Language Models are the Future of Agentic AI

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T17:21:18.459380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e8bea40-ca8f-462a-a86d-b44236f600e2 · outbound

This paper cites DeepSeek-V3 Technical Report.

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction DeepSeek-V3 Technical Report

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T17:21:18.459380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9ddfd56-73b8-4a5a-953b-eaff8887929b · outbound

This paper cites Distilling step-by-step! outperforming larger language models with less training data and smaller model sizes,.

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction Distilling step-by-step! outperforming larger language models with less training data and smaller model sizes,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T17:21:18.459380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.