Paper Citation Record · LEDGER

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference

As of 9 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.06111.

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

pith.paper-citation-record.v1
2607.06111 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T16:32:28.206898Z

measured 32 of 32 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

32 of 32 outbound references displayed

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verified fuzzy29
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 61bd12ee-a4f1-47a8-8f20-9e97a4b159be · outbound

This paper cites A survey on deep learning for data-driven soft sensors.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference A survey on deep learning for data-driven soft sensors

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.408491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fa24d73a-48d6-4c64-b0a9-1a92ec70c893 · outbound

This paper cites Transfer learning for soft sensors in process industries: A review and future perspectives,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Transfer learning for soft sensors in process industries: A review and future perspectives,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.410306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7e48675d-169b-4f0b-a781-3be0195819f7 · outbound

This paper cites Reconstruction-based fault identification using a combined index,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Reconstruction-based fault identification using a combined index,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.412091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation adac86c2-1713-469c-bf90-627cf39c3387 · outbound

This paper cites Fault-tolerant soft sensor modeling based on a two-dimensional group distributionally robust optimization framework,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Fault-tolerant soft sensor modeling based on a two-dimensional group distributionally robust optimization framework,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.415681Z

Source-reported events for the cited work

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Observation 4ade8ad1-5505-4e07-b9b2-e2af328dcb10 · outbound

This paper cites Time-LLM: Time series forecasting by reprogramming large language models,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Time-LLM: Time series forecasting by reprogramming large language models,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.406483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a4539b78-f4e6-45be-9d3f-99e79a2e7930 · outbound

This paper cites Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T16:35:10.195420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cb030ac2-2fc9-488a-b8d1-d97e671cfe36 · outbound

This paper cites AutoTimes: Autoregressive Time Series Forecasters via Large Language Models.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-07-08T16:35:10.198525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3496bf0e-5335-4fa4-99bf-c0d3aa403483 · outbound

This paper cites Nonlinear dynamic soft sensor modeling with supervised long short-term memory network,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Nonlinear dynamic soft sensor modeling with supervised long short-term memory network,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.376461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 815f57b6-fd77-4b44-9b25-e540865a57d2 · outbound

This paper cites Novel transformer based on gated convolutional neural network for dynamic soft sensor modeling of industrial processes,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Novel transformer based on gated convolutional neural network for dynamic soft sensor modeling of industrial processes,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.413796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 11b3ad75-b8cc-44ae-91b7-ede6290ba296 · outbound

This paper cites Hybrid grid search and Bayesian optimization-based random forest regression for predicting material compression pressure in manufacturing processes,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Hybrid grid search and Bayesian optimization-based random forest regression for predicting material compression pressure in manufacturing processes,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.421696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f3d8bef8-3b3e-4e57-8ca8-2d2acfb3a51b · outbound

This paper cites Reliable soft sensors with an inherent process graph constraint,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Reliable soft sensors with an inherent process graph constraint,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.397389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fa3bfd4d-f185-4f8c-ac29-c8b8013a7c8b · outbound

This paper cites A review of process fault detection and diagnosis,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference A review of process fault detection and diagnosis,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.399266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c38fa4db-7b1e-4496-93b8-709abb7f3b37 · outbound

This paper cites Survey on data-driven industrial process monitoring and diagnosis,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Survey on data-driven industrial process monitoring and diagnosis,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.400953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2f59780f-4d32-4fec-9ab5-81b2d6b7fbd6 · outbound

This paper cites Narasimhan and C.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Narasimhan and C

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.393228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c597ca87-07c8-4ea6-8c8e-a5192cd0a3b9 · outbound

This paper cites Graph neural network-based anomaly detection in multivariate time series.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Graph neural network-based anomaly detection in multivariate time series

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.391475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 48e35991-cc91-4734-8ff7-a80ae21afaec · outbound

This paper cites Adversarial graph neural network for multivariate time series anomaly detection,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Adversarial graph neural network for multivariate time series anomaly detection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.387786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c080808c-62c2-4b7f-b142-f13daacd0284 · outbound

This paper cites TimeCMA: Towards LLM-empowered multivariate time series forecasting via cross-modality alignment,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference TimeCMA: Towards LLM-empowered multivariate time series forecasting via cross-modality alignment,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.372803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ddaac0a0-3130-453c-98b8-aac09caeb5a9 · outbound

This paper cites TEST: Text prototype aligned embedding to activate LLM’s ability for time series,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference TEST: Text prototype aligned embedding to activate LLM’s ability for time series,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.385880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c3cb0a51-7b75-427e-931a-38dbce2aab06 · outbound

This paper cites TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T16:35:10.201192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dff280e3-10e9-47b4-ac26-5d6b30be738f · outbound

This paper cites Causality-aware LLM-enhanced graph representation learning for adaptive power system control,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Causality-aware LLM-enhanced graph representation learning for adaptive power system control,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.389655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 081715a0-7bc2-420d-b926-10c4db2258f6 · outbound

This paper cites LLM-driven human-AI collaborative decision support system for complex industrial processes: A case study in metallurgy,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference LLM-driven human-AI collaborative decision support system for complex industrial processes: A case study in metallurgy,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.417671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 127bc078-a699-4174-a2f9-a493f9521a79 · outbound

This paper cites Zero-shot fault diagnosis via LLM-guided complexity-aware fuzzy boundary learning,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Zero-shot fault diagnosis via LLM-guided complexity-aware fuzzy boundary learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.404352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 932b0c7f-5329-4608-a701-cc8d7db60751 · outbound

This paper cites Joint knowledge graph and large language model for fault diagnosis and its application in aviation assembly,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Joint knowledge graph and large language model for fault diagnosis and its application in aviation assembly,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.423560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5eb8d464-9758-45c5-b297-9bdf236a601f · outbound

This paper cites Zero-shot capillary segmentation in dermoscopy images via SAM2: A case study on oral mucosa,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Zero-shot capillary segmentation in dermoscopy images via SAM2: A case study on oral mucosa,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.380371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d51c15ca-4b71-4f53-9204-3a345243f089 · outbound

This paper cites Are language models actually useful for time series forecasting?.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Are language models actually useful for time series forecasting?

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.382077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e42eff6e-e2d9-4934-8a8d-0cdba0463608 · outbound

This paper cites Attention is all you need,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Attention is all you need,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.402542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 647ff9a1-c941-4e93-9ec4-c166088a5f85 · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Mamba: Linear-time sequence modeling with selective state spaces,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.378409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 409979f8-baf0-42d0-b17a-3354adb1ae94 · outbound

This paper cites iTransformer: Inverted transformers are effective for time series forecasting,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference iTransformer: Inverted transformers are effective for time series forecasting,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.395380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d23cc5b-371a-4168-aa1c-76342b7156bb · outbound

This paper cites A time series is worth 64 words: Long-term forecasting with transformers,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference A time series is worth 64 words: Long-term forecasting with transformers,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.383844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 22c9b20c-639f-4234-a047-d28941d9be40 · outbound

This paper cites ModernTCN: A modern pure convolution structure for general time series analysis,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference ModernTCN: A modern pure convolution structure for general time series analysis,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.425382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cf6aa9d4-512d-4797-a24b-9480440895df · outbound

This paper cites A meta- contrastive learning hybrid model for adaptive temperature trend prediction in variable ladle preheating,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference A meta- contrastive learning hybrid model for adaptive temperature trend prediction in variable ladle preheating,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.374654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5b93c21c-79e8-4b48-b1d3-12d05efb47cf · outbound

This paper cites The development of an industrial-scale fed-batch fermentation simulation,.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference The development of an industrial-scale fed-batch fermentation simulation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:35:10.419700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.