Pith. sign in

Paper Citation Record · LEDGER

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series

As of 11 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2507.01999.

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

pith.paper-citation-record.v1
2507.01999 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:15:07.929632Z

measured 27 of 27 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

27 of 27 outbound references displayed

  • verified exact8
  • verified fuzzy7
  • unresolved8
  • parse uncertain0
  • malformed identifier4
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 320c1388-97bc-49d8-b75d-503410eb554a · outbound

This paper cites URL: https://www.machinedesign.com/mechanical-motion-systems/article/21837100/ error-in-measuring-low-flows-could-cost-chipmakers-millions.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series URL: https://www.machinedesign.com/mechanical-motion-systems/article/21837100/ error-in-measuring-low-flows-could-cost-chipmakers-millions

Reference 1

Resolution
verified exact
raw_fallback, observed 2026-08-06T21:15:09.075722Z

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=2026-08-06T21:15:07.296231Z digest=sha256:092e66f2eae40d946bb45e9e17f59fd1c2e5e58103a4013ea28ca824d2ded792

Observation 2091a39d-cc39-4af3-8d49-fedb7b5d4b49 · outbound

This paper cites URL: https://semiengineering.com/ getting-smarter-about-tool-maintenance/.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series URL: https://semiengineering.com/ getting-smarter-about-tool-maintenance/

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:15:09.720580Z

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=2026-08-06T21:15:07.301961Z digest=sha256:f482f41c109328b936dde7751aa4549d939d995d3c4db53cc09bfe1805d86a46

Observation bc6a7de4-4e80-4f59-93c9-1d203e668b0d · outbound

This paper cites Nonlinear signal processing using neural networks: Prediction and system modelling, 6 1987.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Nonlinear signal processing using neural networks: Prediction and system modelling, 6 1987

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:15:09.623290Z

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=2026-08-06T21:15:07.325478Z digest=sha256:1902eaf273ac9238610f049965fe7e67901bcabcd81dda7d9f2e151d205688e3

Observation cfaadeb6-fd78-49df-b367-c78668dcafad · outbound

This paper cites an unresolved cited work.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Unresolved cited work

Reference 4

Resolution
verified exact
doi, observed 2026-08-06T21:15:08.274052Z

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=2026-08-06T21:15:07.359613Z digest=sha256:f0818ecc9144dda3605c45152a408ebf753d875c07a871505c2c412b309cd6ed

Observation 43c90be6-26e6-4b3a-809f-e70b81b6b00c · outbound

This paper cites an unresolved cited work.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T21:15:07.395716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:15:07.395716Z digest=sha256:b08ff47916875c34d06e5b0b2e9781732cba0e6627e705c5a8beb77cf624f1b8

Observation 904d338a-a3bd-423b-bb1b-1b74be949a87 · outbound

This paper cites Designing an artificial neural network for forecasting tourism time series.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Designing an artificial neural network for forecasting tourism time series

Reference 6

Resolution
verified exact
doi, observed 2026-08-06T21:15:08.200877Z

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=2026-08-06T21:15:07.430923Z digest=sha256:1d23f4a36d0afe2124e0c650ed077093d8b48d840a70d86472342acb02ad311a

Observation a07f5a53-1db4-4130-a97c-a34c0039b29c · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T21:15:07.476751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:15:07.476751Z digest=sha256:ca33210de1c9db18b3b7a699c66941d987f3e90f64ea21c972d3d63ed13baed1

Observation 93785d09-487a-4268-a1b6-4598ccf53fe7 · outbound

This paper cites Deep learning with long short-term memory networks for finan- cial market predictions.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Deep learning with long short-term memory networks for finan- cial market predictions

Reference 8

Resolution
verified exact
doi, observed 2026-08-06T21:15:08.128357Z

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=2026-08-06T21:15:07.512520Z digest=sha256:2aac59ba4926d7726104864f0b0cdeb9ce91e016fb8a1bceb88050aebcd44a47

Observation 5be6ddfd-9e82-44bd-bae0-22517cf80cc8 · outbound

This paper cites Multimodal fusion for sensor data using stacked autoencoders.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Multimodal fusion for sensor data using stacked autoencoders

Reference 9

Resolution
malformed identifier
doi_truncated, observed 2026-08-06T21:15:08.936889Z

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=2026-08-06T21:15:07.545344Z digest=sha256:ebd0537fbc0ca7c896583d065f28953b259365c26719b5bb6b2a90e894aa9ffd

Observation 4ff17660-090d-49f6-89be-d78df03706a9 · outbound

This paper cites A practical guide to wavelet analysis.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series A practical guide to wavelet analysis

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T21:15:07.578793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:15:07.578793Z digest=sha256:a0d56d24872abc06d57de3750e0458b585ab8e00f2b18f646e2d153debf24e9e

Observation 8d73b27b-c30c-43c3-b97c-70c0aa9e68fc · outbound

This paper cites an unresolved cited work.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Unresolved cited work

Reference 11

Resolution
malformed identifier
no resolver link, observed 2026-08-06T21:15:07.608481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:15:07.608481Z digest=sha256:c3df7506f10ea8410467d46ed74b59354526870bc1fed2eaf8c398ee45721882

Observation 3e00b80e-b7ae-43f0-9399-08c88891dc08 · outbound

This paper cites Webb, Shirui Pan, Charu Aggarwal, and Mahsa Salehi.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Webb, Shirui Pan, Charu Aggarwal, and Mahsa Salehi

Reference 12

Resolution
verified exact
raw_fallback, observed 2026-08-06T21:15:08.729677Z

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=2026-08-06T21:15:07.636283Z digest=sha256:83861058972b29f47ec622b7b874db56de50b2909c997e17ddc78b30d5c9fd40

Observation 0cc18b83-10e4-49f5-8270-089b37c58368 · outbound

This paper cites Equipment anomaly detection for semiconductor manufac- turing by exploiting unsupervised learning from sensory data.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Equipment anomaly detection for semiconductor manufac- turing by exploiting unsupervised learning from sensory data

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:15:09.563469Z

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=2026-08-06T21:15:07.676512Z digest=sha256:d094f715c6d8028c3869d94d0e51c62c142281fe34927a38977a793e89180a14

Observation 6c5d4051-5eb9-486b-8c62-9829d28bfb17 · outbound

This paper cites Adel, and Mustapha Ouladsine.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Adel, and Mustapha Ouladsine

Reference 14

Resolution
verified exact
doi, observed 2026-08-06T21:15:07.999608Z

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=2026-08-06T21:15:07.723917Z digest=sha256:d2e687c6c64b6044f7638b4af9203cc88ff3c1f93a45c6465c5ebbea2dbf331c

Observation 810a87d5-0ebf-4929-a134-08b9b7ed8abe · outbound

This paper cites Failure detection and primary cause identification of multivariate time series data in semiconductor equipment.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Failure detection and primary cause identification of multivariate time series data in semiconductor equipment

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T21:15:07.727822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:15:07.727822Z digest=sha256:93658b646af10bb800c1ff18aee61ea6af8be0a611d6bb4ff8e851d01e39bc84

Observation 2610aa26-9848-45ea-85ce-798483efcc84 · outbound

This paper cites Anomaly detection in time series data and its application to semiconductor manufacturing.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Anomaly detection in time series data and its application to semiconductor manufacturing

Reference 16

Resolution
malformed identifier
no resolver link, observed 2026-08-06T21:15:07.744978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:15:07.744978Z digest=sha256:d6461fa2eeebb34fb0e9e0b70c1cd23a5ee19cb7b73f8c5e45c1d2cd3725dc3a

Observation 74b1e9d1-db50-401f-88ed-56223e7db441 · outbound

This paper cites Adaptive asymmetric least squares baseline estimation for analytical instruments.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Adaptive asymmetric least squares baseline estimation for analytical instruments

Reference 17

Resolution
verified exact
raw_fallback, observed 2026-08-06T21:15:08.526737Z

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=2026-08-06T21:15:07.761120Z digest=sha256:df96012c9aaa2fc8f2a505d9c57f00d16e5561664ff4c6eabb29a62c5a6652c1

Observation f1bf772d-33a0-4318-9701-40d44cc734a0 · outbound

This paper cites Ricker, ormsby, klander, butterworth – a choice of wavelets | cseg recorder, 9 1994.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Ricker, ormsby, klander, butterworth – a choice of wavelets | cseg recorder, 9 1994

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:15:09.495533Z

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=2026-08-06T21:15:07.778139Z digest=sha256:6748ab392e4fb44c0f611cfefecfdebe442ab81261d7788987da51ccfccf83de

Observation 7cf6d803-03c1-4305-b25b-57f71c80da55 · outbound

This paper cites Very deep convolutional networks for large-scale image recognition.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Very deep convolutional networks for large-scale image recognition

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:15:09.425353Z

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=2026-08-06T21:15:07.813810Z digest=sha256:1d67118b6434259718984374c7f4b695c66249c5ff0c88fc1352a0e9ba382138

Observation 2e7e0a58-0475-44f3-b453-b18f1bd445d7 · outbound

This paper cites Berg, and Li Fei-Fei.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Berg, and Li Fei-Fei

Reference 20

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T21:15:09.342938Z

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=2026-08-06T21:15:07.825656Z digest=sha256:4ca21cfe927afde2ef8e887b178fa3014e76b3527802e63c1109d79619819f5e

Observation c9b39006-0bfd-423d-bcf3-6b8b87630897 · outbound

This paper cites On a classical problem of probability theory b.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series On a classical problem of probability theory b

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:15:09.259743Z

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=2026-08-06T21:15:07.831069Z digest=sha256:a1579adc3a2ea4c556015d71f60a2191be87b1d4797fee29c149e9804009a7fe

Observation 04cf5cd4-a08a-4a77-8b74-ac429a1c5f91 · outbound

This paper cites Neural Architecture Search: A Survey.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Neural Architecture Search: A Survey

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T21:15:07.852462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:15:07.852462Z digest=sha256:27f068d3e0362e345cbc77ddd8f69a7ba8b28fe766a62c4c1fe0505df31512bd

Observation e4005e21-8205-4420-94f9-3d78666ac315 · outbound

This paper cites Recurrent Neural Networks (RNNs): A gentle Introduction and Overview.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T21:15:07.872080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:15:07.872080Z digest=sha256:dabb75ffb6689facb676e547014c34f3274b652866cbbb67029c187cc39735cb

Observation 43f3a88a-1470-484c-99a0-b285904e8634 · outbound

This paper cites Transformers in vision: A survey.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Transformers in vision: A survey

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T21:15:07.887792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:15:07.887792Z digest=sha256:948de6ec5ebce71dc7f35a5c76eeb2bffa9daaa3de2d21e306222a7afe8c9184

Observation 41fc407d-619f-4378-b88f-7e384aa9d829 · outbound

This paper cites Lafferty, Andrew McCallum, and Fernando C.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Lafferty, Andrew McCallum, and Fernando C

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:15:09.196150Z

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=2026-08-06T21:15:07.909982Z digest=sha256:ea82ae665131982f49e7de74f71bfc91c9624ed9dbadf53b1f408a53decc574b

Observation d97cc0c3-9457-4da2-b6c9-fe2f8d2084d7 · outbound

This paper cites Rahmani, and Pasi Liljeberg.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Rahmani, and Pasi Liljeberg

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T21:15:07.929632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:15:07.929632Z digest=sha256:99cb4f890f388d8b769e75a397591966368a66e3d527f38df45f53ea716dbe9f

Observation 41574345-b28b-47e2-ad89-ff101a276f11 · outbound

This paper cites an unresolved cited work.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Unresolved cited work

Reference 2020

Resolution
verified exact
doi, observed 2026-08-06T21:15:08.048379Z

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=2026-08-06T21:15:07.697379Z digest=sha256:f74c1930caa06d8d24c8ef1d0baff720539b9039462c127d9ce62e0dabf962ea

Pith citing papers

No inbound Pith citation observations are available.