Paper Citation Record · LEDGER

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes

As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2501.02015.

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

pith.paper-citation-record.v1
2501.02015 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:34:12.882493Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy24
unresolved3
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8d2de017-cae2-42e8-b0bf-0e0879a6cbdf · outbound

This paper cites Statistical process monitoring of a multiphase flow facility,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes Statistical process monitoring of a multiphase flow facility,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:13.212227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 873468c8-f99a-4c30-a79b-b2fee74ab3fa · outbound

This paper cites A zero-shot soft sensor modeling approach using adversarial learning for robustness against sensor fault,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes A zero-shot soft sensor modeling approach using adversarial learning for robustness against sensor fault,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:13.200079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7a1ac476-78fd-4878-a82c-07f60db35e5e · outbound

This paper cites A self-interpretable soft sensor based on deep learning and multiple attention mechanism: From data selection to sensor modeling,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes A self-interpretable soft sensor based on deep learning and multiple attention mechanism: From data selection to sensor modeling,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:13.187683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f7652743-1563-454c-969a-03bbaafcd409 · outbound

This paper cites Data-driven soft sensors in the process industry,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes Data-driven soft sensors in the process industry,

Reference 4

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Source-reported events for the cited work

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Observation cdb94f7d-a2fa-4929-849c-f60691332c71 · outbound

This paper cites Robust data-driven soft sensor based on iteratively weighted least squares support vector regression optimized by the cuckoo optimization algorithm,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes Robust data-driven soft sensor based on iteratively weighted least squares support vector regression optimized by the cuckoo optimization algorithm,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:13.167519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 90f1b611-ab91-4493-8f32-4f2bce613d42 · outbound

This paper cites Soft-sensing model development using plsr-based dynamic extreme learning machine with an enhanced hidden layer,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes Soft-sensing model development using plsr-based dynamic extreme learning machine with an enhanced hidden layer,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:13.155301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 89db12a4-2ae4-423c-90c8-89005746ab12 · outbound

This paper cites A data-driven soft sensor modeling method based on deep learning and its application,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes A data-driven soft sensor modeling method based on deep learning and its application,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:13.142782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c08e15ef-5e7c-4be1-9f81-982dcc832424 · outbound

This paper cites Consistent-contrastive network with temporality-awareness for robust-to-anomaly industrial soft sensor,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes Consistent-contrastive network with temporality-awareness for robust-to-anomaly industrial soft sensor,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:13.130749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7dfbae2b-9a8d-4011-a6c0-1922e7ba1851 · outbound

This paper cites Soft sensor modeling method based on target-guided related feature learning and its application,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes Soft sensor modeling method based on target-guided related feature learning and its application,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:13.119244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0df4fb74-6687-4c4a-b47b-237f6af12624 · outbound

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

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes A survey on deep learning for data-driven soft sensors,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:13.107168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e288d4b4-50d6-4b37-9ad7-d310635eddff · outbound

This paper cites A comprehensive survey on graph neural networks,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes A comprehensive survey on graph neural networks,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:34:12.825020Z

Source-reported events for the cited work

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Observation a6ff82f3-a57b-4c89-852b-bb6d6c32427a · outbound

This paper cites In- terpretable prediction modeling for froth flotation via stacked graph convolutional network,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes In- terpretable prediction modeling for froth flotation via stacked graph convolutional network,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:13.088392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1b91be66-b6c2-4aa8-b646-ef127ddd410c · outbound

This paper cites Knowledge-enhanced dis- tributed graph autoencoder for multiunit industrial plant-wide process monitoring,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes Knowledge-enhanced dis- tributed graph autoencoder for multiunit industrial plant-wide process monitoring,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:13.076958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ab5cd4f1-bc40-46c4-bcc9-a681fbc5a060 · outbound

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

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes Reliable soft sensors with an inherent process graph constraint,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:13.065962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2fa2ca4b-8c63-4e6d-8a8f-09d59a07ad24 · outbound

This paper cites Deep graph net- work for process soft sensor development,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes Deep graph net- work for process soft sensor development,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:13.054528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ef59525f-9716-4498-a368-c3417c558ca3 · outbound

This paper cites Dynamic soft sensor for anaerobic digestion of kitchen waste based on sgstgat,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes Dynamic soft sensor for anaerobic digestion of kitchen waste based on sgstgat,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:13.042715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7966cabc-7f1b-49fe-9d89-b885120a3c35 · outbound

This paper cites Multichannel diffusion graph convolutional network for the prediction of endpoint composition in the converter steelmaking process,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes Multichannel diffusion graph convolutional network for the prediction of endpoint composition in the converter steelmaking process,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:13.031122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 85ab6799-9859-4ee1-8ba2-a6fdb32dd5aa · outbound

This paper cites A general knowledge-guided framework based on deep probabilistic network for enhancing indus- trial process modeling,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes A general knowledge-guided framework based on deep probabilistic network for enhancing indus- trial process modeling,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:13.019775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1c95678f-108e-433a-81ec-88a8e7679374 · outbound

This paper cites Residual- aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial pro- cesses,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes Residual- aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial pro- cesses,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:13.008451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation faa342ad-94a1-4996-a9af-6977c09353d9 · outbound

This paper cites Novel distributed grus based on hybrid self-attention mechanism for dynamic soft sensing,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes Novel distributed grus based on hybrid self-attention mechanism for dynamic soft sensing,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:12.996156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ddf00359-6d3f-4c85-9ccb-21da5d7a1462 · outbound

This paper cites Grassnet: Graph soft sensing neural networks,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes Grassnet: Graph soft sensing neural networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:12.983875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ac820fcd-f675-40e7-b4c3-cefc1a8b36d4 · outbound

This paper cites A benchmark case for statistical process monitoring-cranfield multiphase flow facility,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes A benchmark case for statistical process monitoring-cranfield multiphase flow facility,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:12.972217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5771b1ba-6352-4721-a986-2d92ca1b530c · outbound

This paper cites A hybrid mechanism-and data-driven soft sensor based on the generative adversarial network and gated recurrent unit,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes A hybrid mechanism-and data-driven soft sensor based on the generative adversarial network and gated recurrent unit,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:12.959416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5a60fb74-ea55-467e-96fe-ca68b33f9bf9 · outbound

This paper cites Learning phrase representations using rnn encoder-decoder for statistical machine translation,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes Learning phrase representations using rnn encoder-decoder for statistical machine translation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:12.947498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation aa54c449-ab4f-4f47-b29d-02cb3587d149 · outbound

This paper cites Deep learning- based feature representation and its application for soft sensor model- ing with variable-wise weighted sae,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes Deep learning- based feature representation and its application for soft sensor model- ing with variable-wise weighted sae,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:12.935484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 81a8b5f9-c32c-42ef-a1b5-15d83ba4621b · outbound

This paper cites Inductive representation learning on large graphs,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes Inductive representation learning on large graphs,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T22:34:12.878431Z

Source-reported events for the cited work

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Observation a89b2213-659c-4a3a-9654-4d9d83c29d6a · outbound

This paper cites Gated stacked target-related autoencoder: A novel deep feature extraction and layerwise ensemble method for industrial soft sensor application,.

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes Gated stacked target-related autoencoder: A novel deep feature extraction and layerwise ensemble method for industrial soft sensor application,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:34:12.914799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.