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Paper Citation Record · LEDGER

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection

As of 18 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2504.18103.

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

pith.paper-citation-record.v1
2504.18103 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:28:00.137589Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

56 of 56 outbound references displayed

  • verified exact1
  • verified fuzzy43
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d68a24c-4de0-42e7-8fdf-4f4816c8ec81 · outbound

This paper cites Variational autoencoder based anomaly detection using reconstruction probability.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Variational autoencoder based anomaly detection using reconstruction probability

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.741345Z digest=sha256:d3e0505b665bf13f2b87626e416233a7b72a0605fb4af55ac9b290e41bc65a54

Observation 9124845c-8c6a-44dd-aeb5-86fbbf9ae6dc · outbound

This paper cites explainable artificial intelligence for automatic defect detection in additively manufactured parts using ct scan analysis.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection explainable artificial intelligence for automatic defect detection in additively manufactured parts using ct scan analysis

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.749659Z digest=sha256:f8f6eb65a342e2ad16b1119a2e83f5777107d65c486ea82c3f352638dfdfc8df

Observation 8b23c357-dc05-4186-acb6-fb8e9ec378e5 · outbound

This paper cites eXplainable artificial intelligence for automatic defect detection in additively manufactured parts using CT scan analysis.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection eXplainable artificial intelligence for automatic defect detection in additively manufactured parts using CT scan analysis

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.756048Z digest=sha256:144f4d0d2cfd44c4d498b82b141fcbfd2cdb56aca104703cdc22d97ea88f143d

Observation de1244c8-f630-4636-ad1a-b6a1c57bec7c · outbound

This paper cites Variational Inference with a Quantum Computer.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Variational Inference with a Quantum Computer

Reference 4

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raw_fallback, observed 2026-08-16T10:28:01.529763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.768503Z digest=sha256:a17912ffa0978b6187ad85ed5f228c4926fea47bf28d571170644de31d2dad82

Observation d46787d9-c1b8-40ff-9ec5-55b56edd4949 · outbound

This paper cites Ct artifacts: causes and reduction techniques.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Ct artifacts: causes and reduction techniques

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-16T10:28:01.510083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.774048Z digest=sha256:f5efa71ccb552c5ccb1f65a7f3be14eabea49cfbdc1e93331512a6bf72e22b67

Observation ea4400c2-97c1-4bbb-8b0a-80df47781565 · outbound

This paper cites Quantum Bayesian Neural Networks.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Quantum Bayesian Neural Networks

Reference 6

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local_arxiv, observed 2026-08-16T10:28:00.416335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.780352Z digest=sha256:f05808c15c22d4c7bf1f10d06827b3198e24a4be07cf9b3bc4a418bd29e44cf4

Observation e1d00f2d-ee66-4f66-9a55-95541c355d0a · outbound

This paper cites Quantum Vision Transformers.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Quantum Vision Transformers

Reference 7

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unresolved
no resolver link, observed 2026-08-16T10:27:59.788277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:27:59.788277Z digest=sha256:c7fee619fe3d17ecb0b7b070e13a5920889477c9df8f39decd8415c5cbd4dcf6

Observation 061caa3f-b757-481d-b7cd-c780433fcd56 · outbound

This paper cites Does provable absence of barren plateaus imply classical simulability?.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Does provable absence of barren plateaus imply classical simulability?

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T10:27:59.796390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:27:59.796390Z digest=sha256:73e7b2aa46bbde0002cbf28036da0ff12b542affa2c39f407d94592f04315366

Observation f62da36b-6297-423a-a46d-752fe90923fa · outbound

This paper cites Effect of internal defects on the fatigue behavior of additive manufactured metal components: a comparison between ti6al4v and inconel 718.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Effect of internal defects on the fatigue behavior of additive manufactured metal components: a comparison between ti6al4v and inconel 718

Reference 9

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raw_fallback, observed 2026-08-16T10:28:01.484890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.805647Z digest=sha256:b2f9ed3b53a0b0fd21eb18897d516faaae7da35e9360b609b4a87bc74a56788c

Observation 36f567f3-e24d-4abb-bd11-30ec636bce69 · outbound

This paper cites Effect of Internal Defects on the Fatigue Behavior of Additive Manufactured Metal Components : A Comparison between Ti6Al4V and Inconel 718.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Effect of Internal Defects on the Fatigue Behavior of Additive Manufactured Metal Components : A Comparison between Ti6Al4V and Inconel 718

Reference 10

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raw_fallback, observed 2026-08-16T10:28:01.457660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.812087Z digest=sha256:72d8bb80705994148cb6d1da5026746560888c9992c2583fd987257c223bebb8

Observation 825ecd85-d3cf-4ee5-8318-1e3b78495b21 · outbound

This paper cites an unresolved cited work.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.820732Z digest=sha256:6ee77bb38672a7bd6d2deedd9acf7b7185c9edf22309fdca3abd8c6c9470d78a

Observation db03da5d-f3b9-4411-b321-f862e377f491 · outbound

This paper cites Bayesian learning of parameterised quantum circuits.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Bayesian learning of parameterised quantum circuits

Reference 12

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raw_fallback, observed 2026-08-16T10:28:01.411650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.832485Z digest=sha256:20e191c42ff4a105a1061305223878341aa625580c0bba61bbb4829b8d3a2fd4

Observation ca43c169-bd05-4b81-bef9-a6fbebac73f4 · outbound

This paper cites Quantum multi-agent reinforcement learning for aerial ad-hoc networks, 2025.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Quantum multi-agent reinforcement learning for aerial ad-hoc networks, 2025

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-16T10:28:01.389880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.837872Z digest=sha256:4ab90112a393c9bd4bdf2ccfa6672f324eab7023319fbb3e09636828ba925473

Observation 0b2d27c5-6b02-4389-9e4d-b4b437775cbc · outbound

This paper cites The Adjoint Is All You Need: Characterizing Barren Plateaus in Quantum Ans\"atze.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection The Adjoint Is All You Need: Characterizing Barren Plateaus in Quantum Ans\"atze

Reference 14

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unresolved
no resolver link, observed 2026-08-16T10:27:59.844272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:27:59.844272Z digest=sha256:7a6b135ba9bde36495fd074e505c27d5664cb6ef557112dc1b69dd15dca876bb

Observation 20e75b4d-9505-4d41-aa55-f49576c83225 · outbound

This paper cites Generating meaningful synthetic ground truth for pore detection in cast aluminum parts.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Generating meaningful synthetic ground truth for pore detection in cast aluminum parts

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-16T10:28:01.362993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.850822Z digest=sha256:d4a3aa9d5995106eec00cd4b93b60b948f89ba1119ae07fb34c24cbe23eef2d4

Observation 338df4f0-d830-41ca-a447-8b6e0d6f466e · outbound

This paper cites Dropout as a Bayesian Approximation : Representing Model Uncertainty in Deep Learning.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Dropout as a Bayesian Approximation : Representing Model Uncertainty in Deep Learning

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-16T10:28:01.344253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.857782Z digest=sha256:badfe4f3688b9f07fab0a50c4a3e67a6ef5e4b3da36acdd69a1ffc74f9f5d290

Observation e82b8047-8739-4937-a05e-5821fa43f9e9 · outbound

This paper cites Interfacial Reactions and Fracture Behavior of Ti Alloy - Ag28Cu Brazing Joints : Influence of Titanium Alloy Composition.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Interfacial Reactions and Fracture Behavior of Ti Alloy - Ag28Cu Brazing Joints : Influence of Titanium Alloy Composition

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.863436Z digest=sha256:acec7d471423a0d70cbb2735da600ed32e282598057938619f9126f2195874c5

Observation a7c5dcb6-b988-457e-a1f3-faea8d85ff29 · outbound

This paper cites Micro-ct evaluation of defects in ti-6al-4v parts fabricated by metal additive manufacturing.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Micro-ct evaluation of defects in ti-6al-4v parts fabricated by metal additive manufacturing

Reference 18

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raw_fallback, observed 2026-08-16T10:28:01.300757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.872460Z digest=sha256:5a676db5945b2d274b7d843420a9479bf962eff4739e33df11e82e55f365e6fd

Observation d1cede4f-60bb-48bb-aa11-80cee9ccc315 · outbound

This paper cites Fatigue performance of additive manufactured TiAl6V4 using electron and laser beam melting.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Fatigue performance of additive manufactured TiAl6V4 using electron and laser beam melting

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-16T10:28:01.278140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.878801Z digest=sha256:b8436930e91ed1c3444a7f37a5e352ff59feb2711940cdaa9fca364d9ce25af0

Observation d64a98f6-af34-4c6a-bba4-8ea86f803e59 · outbound

This paper cites Fatigue performance of additive manufactured tial6v4 using electron and laser beam melting.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Fatigue performance of additive manufactured tial6v4 using electron and laser beam melting

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:01.090608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.893798Z digest=sha256:3711de9d8ce4045bf5d2e7ae52a14d487a2cc23da06e167c5e9140811af3f24b

Observation 3e0919e0-bb7f-4068-b97a-c17f8680f6c3 · outbound

This paper cites Additive Manufacturing Technologies.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Additive Manufacturing Technologies

Reference 21

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raw_fallback, observed 2026-08-16T10:28:01.070635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.900090Z digest=sha256:399eeca1d4d4731e3849fcc3dd7b7fe8524a3db287fcdd8773855e9bcf09ab09

Observation ba8a80b5-e444-463e-b0da-2d019e3020cd · outbound

This paper cites Herzog, M.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Herzog, M

Reference 22

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raw_fallback, observed 2026-08-16T10:28:01.048873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.905741Z digest=sha256:38d365c36ad03c4ad834d4b9a9f1e86bd9c1cb8fc00134529ad337a221c4f203

Observation 87133727-b477-4c97-b6c2-f0412832d8d4 · outbound

This paper cites Unsupervised fabric defect detection based on a deep convolutional generative adversarial network.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Unsupervised fabric defect detection based on a deep convolutional generative adversarial network

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-16T10:28:01.030894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.911027Z digest=sha256:0fbe2eb587df7a87c0a96d531de7dfa456d42a8d066349baafcb59f26f4a6c91

Observation d3746891-216c-4f65-b4d7-795b010d1965 · outbound

This paper cites Anomaly Detection in Process Monitoring Data of Additive Manufacturing by Neural Networks.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Anomaly Detection in Process Monitoring Data of Additive Manufacturing by Neural Networks

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-16T10:28:01.012614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.916386Z digest=sha256:4ef99567bb58c7dac76ca628592c739b6ab4824081e402970d7a5fbacee7d92a

Observation a0d3c85c-a69e-4bfe-928f-58cc1eda0ef5 · outbound

This paper cites Nearest centroid classification on a trapped ion quantum computer.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Nearest centroid classification on a trapped ion quantum computer

Reference 25

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raw_fallback, observed 2026-08-16T10:28:00.992599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.922129Z digest=sha256:526476ee1fdcbda3a21d35c3da49a7b3a6797e31a8f6fb326e423cf7891e7c4a

Observation 088f3337-de2e-4f64-8ede-23f838a034d7 · outbound

This paper cites Quantum fourier networks for solving parametric pdes.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Quantum fourier networks for solving parametric pdes

Reference 26

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raw_fallback, observed 2026-08-16T10:28:00.967828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.930962Z digest=sha256:6bcdee3abb1f3b6889d5e302fc41929100410f5b0575825382a4770e3cdcd241

Observation 8061c464-f54c-42d4-9e4e-8bc6c9d4ff5f · outbound

This paper cites Orthogonal deep neural networks.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Orthogonal deep neural networks

Reference 27

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raw_fallback, observed 2026-08-16T10:28:00.943553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.935664Z digest=sha256:04cf82f2a9d2bcbce03cdb037bea554817a21baa1ab5017248b76f83f7230c5d

Observation a086ec65-0d21-4388-9609-e88125f93973 · outbound

This paper cites Improving training of deep neural networks via singular value bounding.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Improving training of deep neural networks via singular value bounding

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-16T10:28:00.920524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.942887Z digest=sha256:3dd561986c9f6aef68fb5956b7e3bbc04443386451016092a57eb55bb32e8e28

Observation ec1a0a85-7e03-4f08-b427-186e82f45fa2 · outbound

This paper cites Quantum Algorithms for Deep Convolutional Neural Networks.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Quantum Algorithms for Deep Convolutional Neural Networks

Reference 29

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unresolved
no resolver link, observed 2026-08-16T10:27:59.949245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:27:59.949245Z digest=sha256:a360127e66e4389473c7cee42076bd89e9c61c206a9035830f8c2172b14afc7b

Observation 638ee225-4180-4356-afae-4e39af6606d8 · outbound

This paper cites Quantum machine learning with subspace states.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Quantum machine learning with subspace states

Reference 30

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unresolved
no resolver link, observed 2026-08-16T10:27:59.955660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:27:59.955660Z digest=sha256:bf7643f406d38ea1bbea301d0977673b904cf6521b117bdd241b4b8a3ab4f7c4

Observation c457cad0-4b9a-4324-93ed-67bbce945458 · outbound

This paper cites an unresolved cited work.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Unresolved cited work

Reference 31

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unresolved
raw_fallback, observed 2026-08-16T10:28:00.898234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.963070Z digest=sha256:a50c36dbdf2827e287fc9c285376aeace110f21e1cf3887d51c86e44c7cfbd03

Observation 4fbcdfd0-4528-4539-871b-d78b70514636 · outbound

This paper cites Computed tomography of additive manufactured components in aeronautic industry.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Computed tomography of additive manufactured components in aeronautic industry

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:00.877837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.969643Z digest=sha256:e273ba4dbc487fefceb1a639656762ed7bb46b60b117ec36f126f57bb9b1f4e3

Observation 73a115c0-971b-4a63-960a-048106c0e92b · outbound

This paper cites Computed Tomography of Additive Manufactured Components in Aeronautic Industry.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Computed Tomography of Additive Manufactured Components in Aeronautic Industry

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-16T10:28:00.852255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.975383Z digest=sha256:07a1c815897c2f90cb68d32132c389e4243da8994df9b0c1c141a1a89cb9d2a0

Observation ae3d9e77-fff4-4170-b3a8-71b43794d993 · outbound

This paper cites Quantum methods for neural networks and application to medical image classification.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Quantum methods for neural networks and application to medical image classification

Reference 34

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raw_fallback, observed 2026-08-16T10:28:00.826731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.982281Z digest=sha256:56016048c31003ecd1d0f131462d0c9a6a34eb7e4cc6da6bd501a0af225e6d1c

Observation 031d6eb1-6b4f-42ce-9cdc-f7bc2b90096a · outbound

This paper cites Autonomous in-situ defect detection and correction in additive-lathe 3d printing process using variational autoencoder model.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Autonomous in-situ defect detection and correction in additive-lathe 3d printing process using variational autoencoder model

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:00.809410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.990705Z digest=sha256:08769f0635160ee67a00ead6843ac8bee25833ac0bf60c18b8b2a32122e84456

Observation 76a99783-f31b-4ba9-ba5b-0422d6fb1f06 · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:27:59.999179Z digest=sha256:3fef28b61cccfef910fd38b7e6ff4ebb78988781a2dc6ed3c8e664cac4ff35b8

Observation 77321857-0a01-482a-b63f-4910a8a4cd0c · outbound

This paper cites Exploring the role of explainable ai in the development and qualification of aircraft quality assurance processes: A case study.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Exploring the role of explainable ai in the development and qualification of aircraft quality assurance processes: A case study

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:00.769724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:28:00.005732Z digest=sha256:1e5a73b369b19b742d86c15b36250a9cf73c85e490fc03247ee798565b0400e9

Observation 33c41b6d-ee5e-4f02-b5ac-a5ac481b3bb0 · outbound

This paper cites Trainability and Expressivity of Hamming-Weight Preserving Quantum Circuits for Machine Learning.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Trainability and Expressivity of Hamming-Weight Preserving Quantum Circuits for Machine Learning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:00.012447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:28:00.012447Z digest=sha256:78e99b2e2d388fe7a2316af6227f2f326b1675942d5cc502266b573d72d1963b

Observation b71f5257-0ac5-4b53-b6ea-40d28239813d · outbound

This paper cites Steel defect classification with max-pooling convolutional neural networks.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Steel defect classification with max-pooling convolutional neural networks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:00.748773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:28:00.024853Z digest=sha256:3ed032d0af0bf179b2e5249f9a5ee18d7ce8ac2ed383aa110de51dc5b004455c

Observation f3215de8-6097-4fb6-bd4e-dbe34b1b9024 · outbound

This paper cites Bayesian Optimization : Open source constrained global optimization tool for Python , 2014.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Bayesian Optimization : Open source constrained global optimization tool for Python , 2014

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:00.722852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:28:00.030866Z digest=sha256:ab12913fab322ac3a9934b3c0cde862a94539ceb367938e2c0894757b62b3d4e

Observation e0105a8d-ce13-4be9-b25c-48b06fe05013 · outbound

This paper cites Unsupervised Machine Learning on a Hybrid Quantum Computer.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Unsupervised Machine Learning on a Hybrid Quantum Computer

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:00.037424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:28:00.037424Z digest=sha256:e968d5b5c8abb8be496018f4c9b9f29a1e8362ef7ddc53456174af0c12fc1313

Observation 5405a4ea-aa61-426d-9eb2-458458fb3181 · outbound

This paper cites an unresolved cited work.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:28:00.706395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:28:00.046089Z digest=sha256:69040c36e2c30d392981d3a6a1537d9786721867fca213e2a08df38135f27d8c

Observation 18eb35ff-856e-4f50-8e13-e5eea8bf2898 · outbound

This paper cites Quantum deep hedging.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Quantum deep hedging

Reference 43

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:28:00.052586Z digest=sha256:6495e0ebedb32477f03139deee40ff4df43774731dca1a582a469f36a2f0443d

Observation c92b58ad-b529-45df-89ef-f4e314660a99 · outbound

This paper cites Dropout: A Simple Way to Prevent Neural Networks from Overfitting.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Dropout: A Simple Way to Prevent Neural Networks from Overfitting

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:00.662646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:28:00.060448Z digest=sha256:801285d26f6b991cd4e700fa5304205d558b253ec9e80cf42e216b7483c4300c

Observation b2c47348-237e-46f1-8199-e29d47d5a581 · outbound

This paper cites Exact solutions to the nonlinear dynamics of learning in deep linear neural networks.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Exact solutions to the nonlinear dynamics of learning in deep linear neural networks

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:00.065607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:28:00.065607Z digest=sha256:b90d500e8bea20db9508ab5f71d85c424b513d487333a845936a54e6d344d30f

Observation 1d2eb9f3-e1d4-4c38-869c-42134ab0ac71 · outbound

This paper cites Supervised Learning with Tensor Networks.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Supervised Learning with Tensor Networks

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:00.632682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:28:00.072181Z digest=sha256:f9f576807a7a7b52d5929d408903ba0ea7dd9073ad552b07771c543f127f2c4f

Observation be14d5ed-9aec-4b7a-a1d0-77483ba9adc1 · outbound

This paper cites Explainable deep learning models in medical image analysis.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Explainable deep learning models in medical image analysis

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:00.612398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:28:00.078353Z digest=sha256:827580dabee29fc273bc019ca5b849b60b1de49f503c0a9f2ddfa487ae967fdc

Observation 9b527d09-57a4-426d-ba8f-f647cc8e9e2b · outbound

This paper cites Deep adversarial learning system for fault diagnosis in fused deposition modeling with imbalanced data.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Deep adversarial learning system for fault diagnosis in fused deposition modeling with imbalanced data

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:00.593608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:28:00.086802Z digest=sha256:53227920b96f60fa70d6d48991cb8a44098c27fdd85ad44794fa944ca1aa74ab

Observation f52bffc6-f3d9-48bd-81b2-aff595f446c0 · outbound

This paper cites Improved financial forecasting via quantum machine learning.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Improved financial forecasting via quantum machine learning

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:00.575049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:28:00.092756Z digest=sha256:6c773a529d7e3623131dd75e425480ae8064bd8dff7ed3870de4fbfb36205300

Observation a94289a1-b3cd-4070-94e7-b843a46e76ee · outbound

This paper cites Anomaly detection of core failures in die casting x-ray inspection images using a convolutional autoencoder.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Anomaly detection of core failures in die casting x-ray inspection images using a convolutional autoencoder

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:00.554314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:28:00.098238Z digest=sha256:b2e48a1516ba7ae8e86f8f45fe81b1ab4fb68fa1792f6be23bd83d47016cbc58

Observation ce081f67-5ba8-48df-b4f9-a84c5f82202b · outbound

This paper cites Orthogonal convolutional neural networks.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Orthogonal convolutional neural networks

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:00.530336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:28:00.104241Z digest=sha256:a0f908f39d0ff2e97421ef595c6bee79d2ae9d193f39aa6efaa39f51f03d02d2

Observation f0e7e774-149c-4dda-bc0c-f289acf2fde3 · outbound

This paper cites Gan-based anomaly detection: A review.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Gan-based anomaly detection: A review

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:00.502638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:28:00.110672Z digest=sha256:0e082be517a58ab0bc1dd6b02f063eb56caef163b99429deaf83ff543ac4f0a7

Observation 93d99465-b740-4dad-81c3-2b558d934a1d · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:00.116206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:28:00.116206Z digest=sha256:a1ffafd80c43d17927fe7c5be89441bc97608f22fe293a4d48611d7605f52b46

Observation 8ec9656b-34ed-4aec-a59c-31613a73656b · outbound

This paper cites Additive manufacturing of fatigue resistant materials: Challenges and opportunities.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Additive manufacturing of fatigue resistant materials: Challenges and opportunities

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:00.477073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:28:00.121870Z digest=sha256:4a515eaa798a9fd729a329813c5c305bcd5edec0593868f45a9c14efb2936d9b

Observation 215b7868-6f8c-4573-93c5-b441a9cec94b · outbound

This paper cites Anomaly detection with robust deep autoencoders.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Anomaly detection with robust deep autoencoders

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:00.452364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:28:00.130402Z digest=sha256:1d8446d4e5031a0d809c82f2c630cc453c3ed4121e77132f8f276485a4542110

Observation 294ed07f-cf3d-41ab-a7ca-23f86dd34c27 · outbound

This paper cites Bayesian deep learning on a quantum computer.

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection Bayesian deep learning on a quantum computer

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:00.434105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:28:00.137589Z digest=sha256:323b20e6b904128aa3f731d164a0e20f31ec37ae71a77cd0fbdaa2f3a0a7de7f

Pith citing papers

No inbound Pith citation observations are available.