Paper Citation Record · LEDGER

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support

As of 9 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.24824.

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

pith.paper-citation-record.v1
2607.24824 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:21:09.940111Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy0
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0503fc52-d137-4e23-b5a0-063b8df05311 · outbound

This paper cites A survey on potentials, pathways and challenges of large language models in new-generation intelligent manufacturing,.

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support A survey on potentials, pathways and challenges of large language models in new-generation intelligent manufacturing,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T20:21:07.587814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b88aa1f-99d1-4f5e-ac2d-519649d9161d · outbound

This paper cites Human-in-the-loop and large language models in smart manufacturing: Current applications, challenges, and perspectives,.

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support Human-in-the-loop and large language models in smart manufacturing: Current applications, challenges, and perspectives,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T20:21:07.699958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbe17125-f93b-46a0-88e5-e2c3cd724044 · outbound

This paper cites Framework for LLM applications in manufacturing,.

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support Framework for LLM applications in manufacturing,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T20:21:07.809795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10e83ff4-b5e3-4ede-91ac-1a9b66e9c77d · outbound

This paper cites Enhancing Industry 5.0 assistance in assembling tasks with large language models and retrieval augmented generation: The DIA framework,.

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support Enhancing Industry 5.0 assistance in assembling tasks with large language models and retrieval augmented generation: The DIA framework,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T20:21:07.991835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c77cb211-edc6-451b-8141-96ff22f9de84 · outbound

This paper cites Large language models for low -code process automation: Lowering the barriers for citizen developers,.

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support Large language models for low -code process automation: Lowering the barriers for citizen developers,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T20:21:08.148526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e93d82d0-ea4d-4f71-8bcc-10c359d57aa6 · outbound

This paper cites Utilizing LLMs for industrial process automation,.

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support Utilizing LLMs for industrial process automation,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T20:21:08.246997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c389cbd7-5735-47cf-aae3-7d19420ab33d · outbound

This paper cites Towards a benchmark dataset for large language models in the context of process automation,.

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support Towards a benchmark dataset for large language models in the context of process automation,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T20:21:08.402397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ad6cb09-d6cd-41de-a1a8-ffc065267518 · outbound

This paper cites Knowledge-enhanced industrial question-answering using large language models,.

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support Knowledge-enhanced industrial question-answering using large language models,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T20:21:08.547083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f91e943a-209d-4e42-98a6-eb80af286eb8 · outbound

This paper cites An experiment of using a large language model to control a water tank system,.

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support An experiment of using a large language model to control a water tank system,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T20:21:08.677450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7540df84-67ee-4575-a9c9-7ef4df68b194 · outbound

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

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support Autonomous industrial control using an agentic framework with large language models,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T20:21:08.835545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cab187a0-e772-46a9-b52a-6e5daa15356b · outbound

This paper cites Large language model agent for user - friendly chemical process simulations,.

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support Large language model agent for user - friendly chemical process simulations,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T20:21:08.942544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ba4eee0-8168-4931-b056-fafa30c12f59 · outbound

This paper cites Improving process systems engineering with specialized multi -agent large language models,.

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support Improving process systems engineering with specialized multi -agent large language models,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T20:21:09.055383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90d05e7c-91c9-42df-9c45-f7f3b6390084 · outbound

This paper cites A multi -expert framework for enhancing multimodal large language models in industrial anomaly detection,.

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support A multi -expert framework for enhancing multimodal large language models in industrial anomaly detection,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T20:21:09.204989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 542c76b2-f0cc-491f-a8a6-8a84ad61ed88 · outbound

This paper cites Oscillation analysis using retrieval-augmented generation,.

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support Oscillation analysis using retrieval-augmented generation,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T20:21:09.331252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce3588ea-caac-4cef-bfd8-ca373a71f1bc · outbound

This paper cites StictionGPT: Detecting valve stiction in process control loops using large vision language model,.

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support StictionGPT: Detecting valve stiction in process control loops using large vision language model,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T20:21:09.438898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9432b82-d6f2-47c8-ad32-ca0b8bc61e51 · outbound

This paper cites FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes.

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T20:21:09.591983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 136ee264-8911-4980-8775-265438bf9ca6 · outbound

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

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support Training language models to follow instructions with human feedback

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T20:21:09.769305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1d9c31b-2647-4dc9-adcb-b78c65e5c4aa · outbound

This paper cites an unresolved cited work.

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T20:21:09.940111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.