Paper Citation Record · LEDGER

RAG-Based Auto-Configuration for Industrial Fieldbus Devices

As of 22 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2608.08618.

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

pith.paper-citation-record.v1
2608.08618 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:35:21.374553Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

24 of 24 outbound references displayed

verified exact1
verified fuzzy15
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c95dac3e-eb5d-4412-92a3-8f6b6337056d · outbound

This paper cites Semantics for the Internet of Things: Early progress and back to the future,.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices Semantics for the Internet of Things: Early progress and back to the future,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:35:23.043763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 101b9428-19a8-4b67-8650-99f9b93c2172 · outbound

This paper cites Language models are few-shot learners,.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices Language models are few-shot learners,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:35:22.932260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ab67e64b-6938-4c23-95da-39ccfdeaa175 · outbound

This paper cites GPT-4 Technical Report.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices GPT-4 Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T04:35:20.868520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c25af77-7487-40f0-a1d4-b80f51b20c87 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T04:35:20.875512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e4a8fd6-c162-4441-8fbb-79e12c9327e4 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks,.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices Retrieval-augmented generation for knowledge-intensive NLP tasks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:35:22.806704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 95478b51-d7c1-438b-a3fe-fa932f62a259 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T04:35:20.904747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd8c05d7-e209-4434-a27a-08ad78c2ab87 · outbound

This paper cites Survey of hallucination in natural language generation,.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices Survey of hallucination in natural language generation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:35:22.771086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d99c0c26-fa29-4454-bc28-9e6cf8f4c5e8 · outbound

This paper cites IEC 63278-1:2023, asset administration shell for industrial applications, part 1: Asset administration shell structure,.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices IEC 63278-1:2023, asset administration shell for industrial applications, part 1: Asset administration shell structure,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:35:22.694752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1ed0e19d-10c5-44af-a5f5-0dfaa5182c56 · outbound

This paper cites SOSA: A lightweight ontology for sensors, observations, samples, and actuators,.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices SOSA: A lightweight ontology for sensors, observations, samples, and actuators,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:35:22.622589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0c728c52-1429-4ecf-9d00-12dad59f070d · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T04:35:21.000818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 646a7e55-b540-44e6-a81a-ce50a1cba3be · outbound

This paper cites Reciprocal rank fusion outperforms Condorcet and individual rank learning methods,.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices Reciprocal rank fusion outperforms Condorcet and individual rank learning methods,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:35:22.596835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0bd6a152-8be4-4092-a5ee-b22849424d3f · outbound

This paper cites Passage Re-ranking with BERT.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices Passage Re-ranking with BERT

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T04:35:21.035843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2b4b376-49e8-4a8f-b794-f30e0d7c5316 · outbound

This paper cites Leveraging passage retrieval with generative models for open domain question answering,.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices Leveraging passage retrieval with generative models for open domain question answering,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:35:22.563206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1ab25f08-a939-48b3-ae36-5687bf82c9df · outbound

This paper cites Reading Wikipedia to answer open-domain questions,.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices Reading Wikipedia to answer open-domain questions,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:35:22.512939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1753ecef-44c5-46f1-9840-9855e39ef5b4 · outbound

This paper cites Sentence-BERT: Sentence embeddings using siamese BERT-networks,.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices Sentence-BERT: Sentence embeddings using siamese BERT-networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:35:22.473339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0c3db46e-c0d4-4120-9379-de66b4969725 · outbound

This paper cites Attention is all you need,.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices Attention is all you need,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:35:22.454086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8825265a-79ec-431b-ad53-03835fc71cd5 · outbound

This paper cites Conformal prediction: A gentle introduction,.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices Conformal prediction: A gentle introduction,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T04:35:21.180874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9df79d81-9f25-4619-98a1-2a7b23fab415 · outbound

This paper cites FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T04:35:21.204749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e692d2c2-a057-42af-ba49-cf11ca8723cb · outbound

This paper cites JSON-LD 1.0: A JSON-based serialization for linked data,.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices JSON-LD 1.0: A JSON-based serialization for linked data,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:35:22.363634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ab53b0ae-7606-4e43-b7e3-0291d38f67f6 · outbound

This paper cites Shapes constraint language (SHACL),.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices Shapes constraint language (SHACL),

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:35:22.284749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6e28d85f-36d6-4221-b072-cf6cd09f6612 · outbound

This paper cites LLM4PLC: Harnessing large language models for verifiable programming of PLCs in industrial control systems,.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices LLM4PLC: Harnessing large language models for verifiable programming of PLCs in industrial control systems,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:35:22.210706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 93d5642f-1864-4430-b877-4d16f843d3ef · outbound

This paper cites Agents4PLC: Automating Closed-loop PLC Code Generation and Verification in Industrial Control Systems using LLM-based Agents.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices Agents4PLC: Automating Closed-loop PLC Code Generation and Verification in Industrial Control Systems using LLM-based Agents

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T04:35:21.314595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5835b4fe-4c2a-4743-9af4-a87d4b4c3181 · outbound

This paper cites Vendor-aware industrial agents: RAG-enhanced LLMs for secure on-premise PLC code generation,.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices Vendor-aware industrial agents: RAG-enhanced LLMs for secure on-premise PLC code generation,

Reference 23

Resolution: verified exact; raw_fallback, observed 2026-08-14T04:35:21.595295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e7f35623-abc1-4b56-bf42-345a876e79ca · outbound

This paper cites LayoutLM: Pre-training of text and layout for document image understanding,.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices LayoutLM: Pre-training of text and layout for document image understanding,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:35:22.137168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.