Pith. sign in

Paper Citation Record · LEDGER

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval

As of 11 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2501.03295.

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

pith.paper-citation-record.v1
2501.03295 v2

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:05:19.484663Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

61 of 61 outbound references displayed

  • verified exact0
  • verified fuzzy59
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c131cea3-da11-41ca-a01d-95de1f194dc9 · outbound

This paper cites Causal variable selection for industrial process quality prediction via attention- based GRU network.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Causal variable selection for industrial process quality prediction via attention- based GRU network

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.320076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.192642Z digest=sha256:bb911bb4d883f658352377645a1d4698da89abd2bf222ce0ff22a56048d33e3f

Observation 3a4dde22-d634-4113-92b9-a084a9085cd1 · outbound

This paper cites Machine learning for industrial sensing and control: A survey and practical perspective.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Machine learning for industrial sensing and control: A survey and practical perspective

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.308173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.199538Z digest=sha256:38a54e6973465a6e4fad0beba0fb7e7ea06acc0f3ebcaca4b4a4f0fd7092ec15

Observation d8d4d532-5669-44e9-bd53-dadb2cd0a634 · outbound

This paper cites Dynamic transfer soft sensor for concept drift adaptation.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Dynamic transfer soft sensor for concept drift adaptation

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.295099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.205963Z digest=sha256:6caddef51064c8df9d378b8bd5fe4e656387adfe074a7b44346a306ced1693bd

Observation fcc154dd-5d1e-45aa-bc3e-b6d1cc6fc2c3 · outbound

This paper cites Soft Sensor Transferability: A Survey.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Soft Sensor Transferability: A Survey

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.283240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.213370Z digest=sha256:04d79f7e1708ba996a6f26d318da80f8e79b50e14768e532e67ca5fe95356e27

Observation 002d79b2-80b3-41f4-8fa4-ad1d2fdf33fc · outbound

This paper cites Reliable Soft Sensors With an Inherent Process Graph Constraint.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Reliable Soft Sensors With an Inherent Process Graph Constraint

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.271005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.220104Z digest=sha256:eefeaefb9e20c4907ad807f1fc5598e6103b1ae38b4e274efea9b3c467a7b2f3

Observation 7d32e822-0615-4d65-9bb4-283666d230cf · outbound

This paper cites Information Complementary Fusion Stacked Autoencoders for Soft Sensor Applications in Multimode Industrial Processes.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Information Complementary Fusion Stacked Autoencoders for Soft Sensor Applications in Multimode Industrial Processes

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.259240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.224640Z digest=sha256:526dbf477037871096a18e520f09f94458bd72e203c7ef53b6dc5622ef0d2e64

Observation 3d75331c-7385-4a88-9fbc-7d4ba82b4982 · outbound

This paper cites Physics-Enhanced Graph Neural Networks for Soft Sensing in Industrial Internet of Things.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Physics-Enhanced Graph Neural Networks for Soft Sensing in Industrial Internet of Things

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.247878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.229181Z digest=sha256:fc6d99e657a09942f13a41d18ba9aec5706d25f12df4a1c323cc814cfa8a4e9e

Observation 7b74950c-97b8-4e1d-9396-69ac54b54c41 · outbound

This paper cites Semi-supervised adaptive PLS soft-sensor with PCA-based drift correction method for online valuation of NOx emission in industrial water-tube boiler.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Semi-supervised adaptive PLS soft-sensor with PCA-based drift correction method for online valuation of NOx emission in industrial water-tube boiler

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.235460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.234140Z digest=sha256:3b76be09b22efad85150919dab341d36b5e049299efb44ed0120ddc113d4b92b

Observation b485d842-67e7-4383-b97b-01d201fbb662 · outbound

This paper cites Nonlinear feature extraction for soft sensor modeling based on weighted probabilistic PCA.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Nonlinear feature extraction for soft sensor modeling based on weighted probabilistic PCA

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.223405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.239896Z digest=sha256:73880da786f106f64eeb719ac25c963ffb7afd54a939ecbd035943aaf19818cf

Observation f5c353bd-f408-4aa1-b62d-d7a62e97bada · outbound

This paper cites Comparison of variable selection methods for PLS -based soft sensor modeling.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Comparison of variable selection methods for PLS -based soft sensor modeling

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.210916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.244983Z digest=sha256:ab049983b356548232695805a57a1ae9bf5838010b12257cd2c288a664f0943a

Observation cd6b1a73-71a2-40c1-b834-caaf2d25e365 · outbound

This paper cites Developing variable moving window PLS models: Using case of NOx emission prediction of coal-fired power plants.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Developing variable moving window PLS models: Using case of NOx emission prediction of coal-fired power plants

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.198867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.250890Z digest=sha256:2c80109c3bec1ee72cd81a4920e03d6040e8f0d8b0ff1688f3696b048f6becf7

Observation c5790235-22b4-4a24-82a1-e3d81026fca4 · outbound

This paper cites A soft sensing method of billet surface temperature based on ILGSSA -LSSVM.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval A soft sensing method of billet surface temperature based on ILGSSA -LSSVM

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.187885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.257217Z digest=sha256:dffe68dcfa3497dc7483b03d2aacb192bf83e25b20b44c040b6c13bafeb843cf

Observation 49e18fd0-b24b-496c-b9fb-025aca55e2e6 · outbound

This paper cites A Novel Input Variable Selection and Structure Optimization Algorithm for Multilayer Perceptron-Based Soft Sensors.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval A Novel Input Variable Selection and Structure Optimization Algorithm for Multilayer Perceptron-Based Soft Sensors

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.176519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.263069Z digest=sha256:b21c1aa7c284264fe245adeba1a84012cabe2770aadc9106e7ba0a4aae885105

Observation d224f1fa-b2a3-4726-bdb3-1ea7d43f421b · outbound

This paper cites Artificial intelligence for enhanced flotation monitoring in the mining industry: A ConvLSTM-based approach.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Artificial intelligence for enhanced flotation monitoring in the mining industry: A ConvLSTM-based approach

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.163674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.268547Z digest=sha256:0f8e47eb03c0c8d885213a3c8cf412e521c8e74c7fcfe1a57aa96dacdbfbe742

Observation 2eaf408a-8a01-4b63-873f-4c88d21db489 · outbound

This paper cites Stacked Spatial-Temporal Autoencoder for Quality Prediction in Industrial Processes.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Stacked Spatial-Temporal Autoencoder for Quality Prediction in Industrial Processes

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.152471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.273803Z digest=sha256:3f7bfb8f89e871de7bb02bee248ab4ebab3933b274ed666dca0eb82e6bdc6e7c

Observation 4d77f8ea-85c3-4893-bd34-9320d4bfc80c · outbound

This paper cites Soft sensor based on stacked auto-encoder deep neural network for air preheater rotor deformation prediction.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Soft sensor based on stacked auto-encoder deep neural network for air preheater rotor deformation prediction

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.140378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.281023Z digest=sha256:0d450a7e74be168777d2bd2b1bb768d621ab0a98d2191549f33991d94b88b8ad

Observation 8919274c-d68b-48aa-abde-064750abb4ae · outbound

This paper cites A Review on Soft Sensors for Monitoring, Control, and Optimization of Industrial Processes.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval A Review on Soft Sensors for Monitoring, Control, and Optimization of Industrial Processes

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.127779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.286983Z digest=sha256:e4322382eef9642d3cab72d4f475616313314a22e60a794cebdfe997e3fa6335

Observation 51111d3c-e407-42d6-9f4b-c50f0fffbf07 · outbound

This paper cites Review on data-driven modeling and monitoring for plant-wide industrial processes.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Review on data-driven modeling and monitoring for plant-wide industrial processes

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.116290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.293453Z digest=sha256:06b2154f5d1e00f9e2bb8a7a2b85a4ccefd7b6ea5109aa8df87b9bc73d2b6731

Observation 7b295eb3-35b0-46c2-8285-bf001b3807b5 · outbound

This paper cites Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.104913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.297628Z digest=sha256:c6f0569f5b43f52834bcdb6bb188c23671dd31e4339de2e583897e6b5a919b5f

Observation 0f8fedfc-246c-400a-957b-8c4bac699471 · outbound

This paper cites A missing manufacturing process data imputation framework for nonlinear dynamic soft sensor modeling and its application.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval A missing manufacturing process data imputation framework for nonlinear dynamic soft sensor modeling and its application

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.092238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.301749Z digest=sha256:36a2ee405e2ad6ac4c0ed86deac378702b6445b320329d834b958632e921d65f

Observation f439c26e-ea78-4aef-b958-1ad4bc1cd15f · outbound

This paper cites Comparison of Soft-Sensor Design Methods for Industrial Plants Using Small Data Sets.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Comparison of Soft-Sensor Design Methods for Industrial Plants Using Small Data Sets

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.078675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.307117Z digest=sha256:d9c3da4b6a6a1e5de54e12d21bc830a529649c1939dd404bcecc608e7c0f8d8a

Observation 6443ea57-8e3f-4d8f-831a-94348bc07dbf · outbound

This paper cites Novel Virtual Sample Generation Using Target-Relevant Autoencoder for Small Data-Based Soft Sensor.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Novel Virtual Sample Generation Using Target-Relevant Autoencoder for Small Data-Based Soft Sensor

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.064795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.311433Z digest=sha256:dde795a4554220c7fbba59db5335df008fc83af7546771c6507d81630facb228

Observation bcb7e839-bf8c-45e3-a797-1df906cb8b57 · outbound

This paper cites A Self-Interpretable Soft Sensor Based on Deep Learning and Multiple Attention Mechanism: From Data Selection to Sensor Modeling.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval A Self-Interpretable Soft Sensor Based on Deep Learning and Multiple Attention Mechanism: From Data Selection to Sensor Modeling

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.050379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.314987Z digest=sha256:e8b273faa7769b5dcb58dfe38c1b12868fa0dc7c2250371da67859e070648505

Observation 40e3f2e5-ee02-455e-8013-cdf684eba6e6 · outbound

This paper cites Constructing a Symbolic Regression-Based Interpretable Soft Sensor for Industrial Data Analytics and Product Quality Control.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Constructing a Symbolic Regression-Based Interpretable Soft Sensor for Industrial Data Analytics and Product Quality Control

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.032621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.319205Z digest=sha256:d9936e961b53ab0093b31ae2d33b496ee2ecedbd72f383c0cdb6e5b93a375ad1

Observation d7fbd2df-f12a-4ba9-b380-5b64164d9bf7 · outbound

This paper cites Machine Learning-Based Dynamic Modeling for Process Engineering Applications: A Guideline for Simulation and Prediction from Perceptron to Deep Learning.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Machine Learning-Based Dynamic Modeling for Process Engineering Applications: A Guideline for Simulation and Prediction from Perceptron to Deep Learning

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:20.013431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.324068Z digest=sha256:c1bdff48b54e4fcfbc696ef2e4ec044086ad911fb9e412b7270c13cca4a151c6

Observation fd753178-9935-4447-8543-824c08ee4c56 · outbound

This paper cites Gpt-4 technical report.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Gpt-4 technical report

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T22:05:19.327986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:05:19.327986Z digest=sha256:22113120d2100aba0593aaf9319a6412dc215b7619070be4450cb2c62199171d

Observation 9fa46976-0a8d-4d9d-9982-2f339efba218 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.983972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.333009Z digest=sha256:657ed0889d6456f4da72a7f2b1dbb08eb23c89201d219d1d92295c69fe9e9b21

Observation ffedc9b8-b174-4f24-a94f-b3c35f07d761 · outbound

This paper cites A survey of large language models.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval A survey of large language models

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.971176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.337061Z digest=sha256:e9e0020087cb638b02a69704c373a950650ab3a51137026f9253a85ab50c8067

Observation 99d3320a-b8b6-4406-84bc-772d53aa73ff · outbound

This paper cites Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.959060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.341852Z digest=sha256:d55caa62758d314143f604c6eaf205a190929bec2dff4506f62a23f519a81c65

Observation 11a7b6f0-6b7f-4e57-bc13-b81306adc291 · outbound

This paper cites Mathprompter: Mathematical reasoning using large language models.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Mathprompter: Mathematical reasoning using large language models

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.941505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.348510Z digest=sha256:63747159eec81cfc8d187dc8d20838992162cca4620510384b5555457d2e92a8

Observation 0e78cf0c-87ee-49fa-b94f-669ee6fa2208 · outbound

This paper cites PRISM: Patient Records Interpretation for Semantic clinical trial Matching system using large language models.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval PRISM: Patient Records Interpretation for Semantic clinical trial Matching system using large language models

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.929077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.353041Z digest=sha256:c09569648104244b06fd478b0f1af79e37e43a6e0cfd1630838f630b79a06615

Observation 8c1ace16-49ef-44d9-9185-520e1d3defcc · outbound

This paper cites Augmenting large language models with chemistry tools.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Augmenting large language models with chemistry tools

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.916504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.359508Z digest=sha256:41e3fb33e89df5843c2001f764d87c6b84f635cb2c16ce7b9e795d7252102bf9

Observation 5a206c86-e79f-42a9-b384-fe63344bd183 · outbound

This paper cites Emergent abilities of large language models.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Emergent abilities of large language models

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.904052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.365364Z digest=sha256:f1f7bbe525b0b0dc2b5836dcf6874563fd85d89571b771e02fedfd5630294f22

Observation 04de485c-0fd6-4016-a479-d6c54598e6dd · outbound

This paper cites Emergent analogical reasoning in large language models.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Emergent analogical reasoning in large language models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.890020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.371904Z digest=sha256:ee233ee819f181acd6efdac72f2d5c59ed724071e7fcf08f6de9d02834573c0d

Observation 900ce275-c969-4b16-b096-ba3d05a030e4 · outbound

This paper cites A survey on in-context learning.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval A survey on in-context learning

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.875304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.376170Z digest=sha256:91a8732848707655ca784b59a8dd6125941e30368d79f0265f9e055740d9cc01

Observation 3f3b90e5-74f8-4cac-a082-2e831c541b0b · outbound

This paper cites An explanation of in-context learning as implicit bayesian inference.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval An explanation of in-context learning as implicit bayesian inference

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.861606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.380071Z digest=sha256:81a4c2764af1169cd9281cb7df9a38a28d26f0cbec55316552767d7b9bc1c530

Observation dc5e8a3a-9a9a-48d1-91cf-51fdb1fed57c · outbound

This paper cites Sensitive Feature Selection for Industrial Flotation Process Soft Sensor Based on Multiswarm PSO With Collaborative Search.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Sensitive Feature Selection for Industrial Flotation Process Soft Sensor Based on Multiswarm PSO With Collaborative Search

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.848966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.385084Z digest=sha256:e07f1bb827719c1ed365e0d7eafc1845a412b6f18a3cdf0521c6053e4ee52fa7

Observation f10bef23-a96d-4485-a8a6-1ab57fa2bebd · outbound

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

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.834669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.389641Z digest=sha256:7bbaa0c82ff1805fb71b261b0a3e0931d31d1c09a99fc12709b9cf5af702d100

Observation 96b6685e-d90d-4813-b962-35c439aa07ea · outbound

This paper cites Retrieval-augmented generation for large language models: A survey.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Retrieval-augmented generation for large language models: A survey

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.820480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.393843Z digest=sha256:a716234c09fdd6a89a63f18676432c9a571b3dc95454665ef24e483474837621

Observation 792871e4-200e-4020-abd2-f7d27da4c82d · outbound

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

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Chain-of-thought prompting elicits reasoning in large language models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T22:05:19.398283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:05:19.398283Z digest=sha256:b1fd689d95776e729cefa4c075485fa666f4b578dbf8224be9ccd55478cc8f67

Observation df22c586-e243-443e-bf27-87612ade2742 · outbound

This paper cites A survey of chain of thought reasoning: Advances, frontiers and future.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval A survey of chain of thought reasoning: Advances, frontiers and future

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.793927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.403135Z digest=sha256:2f1402841a1afe0d66cec3065cc06129a5ad7804d8d533928a5dbe2e8b0be835

Observation e93c8be3-93ee-4b71-b3b4-238b4840af3f · outbound

This paper cites What makes good in-context demonstrations for code intelligence tasks with llms? In: 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)).

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval What makes good in-context demonstrations for code intelligence tasks with llms? In: 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE))

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.780374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.407445Z digest=sha256:7a31cbcaafc05f87334732d12d95a066debfd5aeb16f4b1f98c0063e8c16da47

Observation 00357d4f-9c01-438a-abf2-dc7eec7a9f85 · outbound

This paper cites Role play with large language models.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Role play with large language models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.768598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.412161Z digest=sha256:a03b4cdc64f1d0328e9f95e441ad5caf7de22b52b6a3737c5cf652f7227a352b

Observation a8c91cd2-1400-4c5a-adc5-dedc55c55b84 · outbound

This paper cites Large language models understand and can be enhanced by emotional stimuli.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Large language models understand and can be enhanced by emotional stimuli

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.757050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.416078Z digest=sha256:2739073d61385004238f7fa65cb05ec07adbd73b64cc5419381c09f0a7710809

Observation 7f0236f7-dbb3-4eb4-ac57-a595bc7c7a5a · outbound

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

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval The development of an industrial -scale fed-batch fermentation simulation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.745490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.420130Z digest=sha256:410125812fe2354f4150f5861a3c632c158d3ef09c8ed3a3ea9cb1192793a8d4

Observation ec3cc8dd-3b16-4388-b0e8-c823f50752c2 · outbound

This paper cites Interpretable Machine Learning Methods for Monitoring Polymer Degradation in Extrusion of Polylactic Acid.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Interpretable Machine Learning Methods for Monitoring Polymer Degradation in Extrusion of Polylactic Acid

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.728386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.424870Z digest=sha256:1b4551741b621bbecafbfaa16f7e2f4914781494bdd0e1b9614cfe0267c13298

Observation f0c99472-d275-43d6-993d-14fe1f658d4a · outbound

This paper cites Weighted target feature regression neural networks based soft sensing for industrial process.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Weighted target feature regression neural networks based soft sensing for industrial process

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.714987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.428959Z digest=sha256:e60c5eba67f31132dc5a2a3eb07e467c7f55f5d4dd5f53fd051355a4795a3f2d

Observation 1d7113ce-aa22-4d03-a05f-8903e28c9677 · outbound

This paper cites Mutual Information Deep Sparse Auto-Encoding Hybrid DLSTM Prediction Network.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Mutual Information Deep Sparse Auto-Encoding Hybrid DLSTM Prediction Network

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.701394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.432854Z digest=sha256:fd8345d32a0e2414b74d950d35d9448aaf41f3bbbcb7c85aa3725f49006f6370

Observation b0c8456b-4b8f-4bc1-a0c1-65ef73764304 · outbound

This paper cites Soft measurement model for wet gas flow rate based on ultrasonic and differential pressure sensing.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Soft measurement model for wet gas flow rate based on ultrasonic and differential pressure sensing

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.687372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.437036Z digest=sha256:5c10b55affad003ca208091360f933a33967a197082b14f1782a6afe2dcec4ac

Observation 9c3b23bc-f8e1-450a-800f-01a342e9c6fd · outbound

This paper cites Soft sensor method of multimode BOF steelmaking endpoint carbon content and temperature based on vMF-WSAE dynamic deep learning.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Soft sensor method of multimode BOF steelmaking endpoint carbon content and temperature based on vMF-WSAE dynamic deep learning

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.674862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.441852Z digest=sha256:0d07a452623ed0f094e9e3e0fb988cac4c4d9d6fe489c86134315e207cafdd6a

Observation 34d2f495-fd8e-43c2-9b1a-838c27fd246e · outbound

This paper cites Multi-objective PSO semi-supervised random forest method for dioxin soft sensor.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Multi-objective PSO semi-supervised random forest method for dioxin soft sensor

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.663157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.447648Z digest=sha256:543fafa04955e0344d121e3754db8d301e4f0da86f1a36ba28ac5efb99a16f9a

Observation b5408016-ab24-4e93-86ac-23b55fc23568 · outbound

This paper cites An evolutionary deep learning soft sensor model based on random forest feature selection technique for penicillin fermentation process.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval An evolutionary deep learning soft sensor model based on random forest feature selection technique for penicillin fermentation process

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.651424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.451291Z digest=sha256:1769841129cc392431cdd7151b972fc443818cc6885f5307556c9ff1fdbb50bd

Observation 58428ef1-ea95-4596-a576-7478f831f702 · outbound

This paper cites Utilization of Machine Learning Techniques i n Hot-Film Based Airflow Rate Sensors for Improving Flow Measurement.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Utilization of Machine Learning Techniques i n Hot-Film Based Airflow Rate Sensors for Improving Flow Measurement

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.638710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.455799Z digest=sha256:978319dc0f8885615c3696423ecdf5e8607bafa27b8cfa487c39375964f7bc27

Observation ece4089c-4ccd-404f-ad16-237fd160f6ea · outbound

This paper cites Robust probabilistic principal component regression with switching mixture Gaussian noise for soft sensing.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Robust probabilistic principal component regression with switching mixture Gaussian noise for soft sensing

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.627017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.459373Z digest=sha256:1dbe13331caf727b64a2408fec7b4481878b97f0fab5a05df55f855dd42bf7c3

Observation 18b7d675-7c75-4082-ac03-5ddc461342b4 · outbound

This paper cites Temperature Prediction Model for Roller Kiln by ALD-Based Double Locally Weighted Kernel Principal Component Regression.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Temperature Prediction Model for Roller Kiln by ALD-Based Double Locally Weighted Kernel Principal Component Regression

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.615200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.462540Z digest=sha256:e52b0570a7fed6b7094e00c373cd5218a6f346acdf13b485651cb7fd14f83c4f

Observation 4d3049d6-3dcd-4440-84c1-92365fb21ddc · outbound

This paper cites Uncertainty-aware soft sensor using Bayesian recurrent neural networks.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Uncertainty-aware soft sensor using Bayesian recurrent neural networks

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.602058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.466280Z digest=sha256:d5a442f8343ce3f4581deffaddf9fb651048de42bc8c71f9781e76531f2b817b

Observation a7b40896-e328-4cc0-b7b2-5b558ddbbdcc · outbound

This paper cites When Deep Learning-Based Soft Sensors Encounter Reliability Challenges: A Practical Knowledge-Guided Adversarial Attack and Its Defense.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval When Deep Learning-Based Soft Sensors Encounter Reliability Challenges: A Practical Knowledge-Guided Adversarial Attack and Its Defense

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.587816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.470028Z digest=sha256:f14744cc2da8e034169e91668e4ed786bb13733c261d95202f3efe8ea0641dcf

Observation 11de4983-626f-46b2-9e1c-eda26e8bee93 · outbound

This paper cites Adversarial Robustness Enhancement for Deep Learning- Based Soft Sensors: An Adversarial Training Strategy Using Historical Gradients and Domain Adaptation.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Adversarial Robustness Enhancement for Deep Learning- Based Soft Sensors: An Adversarial Training Strategy Using Historical Gradients and Domain Adaptation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.572967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.473762Z digest=sha256:f5d5ede7bcf316c27fc7e55211ef7ef312c0b72611f9d267fcf2744f770f40f5

Observation 6afb23ea-40cd-4d4f-bc7b-11cefd50c254 · outbound

This paper cites Adaptive Multi-Head Self-Attention Based supervised VAE for Industrial Soft Sensing With Missing Data.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Adaptive Multi-Head Self-Attention Based supervised VAE for Industrial Soft Sensing With Missing Data

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.560356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.477302Z digest=sha256:a064763f7642b8390c0650c40f4b3a8e36ad1543a38735e8aeab16b7dd361f1b

Observation 3cdf1a96-512e-4cf8-837d-f03874d03bf6 · outbound

This paper cites Partial transfer learning network for data imputation and soft sensor under various operation conditions.

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Partial transfer learning network for data imputation and soft sensor under various operation conditions

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.546027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.480842Z digest=sha256:911d2bff52705dbc8be19e66bef8601f9966b05791ad909f101ed67196074a2e

Observation 44b8382d-bb6e-4fd1-b2c1-13ad61ac6fe0 · outbound

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

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval Training language models to follow instructions with human feedback

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:19.528716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:05:19.484663Z digest=sha256:7b4f5e20fc710f7b3596bf58df3135522badce90c267e64ccc186d693d010e6f

Pith citing papers

No inbound Pith citation observations are available.