Paper Citation Record · LEDGER

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection

As of 18 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2502.09194.

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

pith.paper-citation-record.v1
2502.09194 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:24:12.332236Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:47:16.391195Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-15T17:47:17.151036Z

Reference resolution

45 of 45 outbound references displayed

verified exact0
verified fuzzy44
unresolved1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 27350922-a5a0-4dab-b288-58603e91438a · outbound

This paper cites Understanding O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Understanding O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.692866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3939ac7a-94e5-4efe-90b0-0bcf5c8a5778 · outbound

This paper cites Empowering the 6G Cellular Ar- chitecture with Open RAN,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Empowering the 6G Cellular Ar- chitecture with Open RAN,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.685844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8c07c0ab-25cb-40dd-8637-7f03b79b3359 · outbound

This paper cites Ar- tificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Ar- tificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.678886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 936b7e83-86f3-4638-8f4a-7f9220653d92 · outbound

This paper cites Generative adversarial nets,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Generative adversarial nets,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.670835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 41f74de6-acda-4805-829d-19cf49bba004 · outbound

This paper cites Goodfellow, Y.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Goodfellow, Y

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T22:24:12.215839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a3525ba-3552-48b6-8269-3d4328e6c30e · outbound

This paper cites O-RAN Towards 6G,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection O-RAN Towards 6G,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.657825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b2625127-7ccd-4df9-823b-1ef95db1c437 · outbound

This paper cites Misconfiguration in O-RAN: Analysis of the impact of AI/ML,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Misconfiguration in O-RAN: Analysis of the impact of AI/ML,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.650366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 80d27758-75cb-4c06-9bbf-54fa6125b543 · outbound

This paper cites Practical autoencoder based anomaly detection by using vector reconstruction error,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Practical autoencoder based anomaly detection by using vector reconstruction error,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.644008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 105425d9-73ff-427c-ae53-4959ee597626 · outbound

This paper cites Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI),.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI),

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.637426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 15170a2e-ff0f-4d65-b671-5b2fa4591b01 · outbound

This paper cites A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.630854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 32a02508-2aa4-42bf-bba5-7adc9de8fc27 · outbound

This paper cites The Mythos of Model Interpretability: In machine learning, the concept of interpretability is both important and slippery.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection The Mythos of Model Interpretability: In machine learning, the concept of interpretability is both important and slippery

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.624000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad2064b4-7ad6-4fc4-b99c-9229af73d8f4 · outbound

This paper cites DARPA’s explainable AI (XAI) program: A retrospective,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection DARPA’s explainable AI (XAI) program: A retrospective,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.616276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation de04976e-b904-4606-b16b-a4a5f92e9e6c · outbound

This paper cites Explainable Artificial Intelligence for 6G: Improving Trust between Human and Machine,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Explainable Artificial Intelligence for 6G: Improving Trust between Human and Machine,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.608248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f3f8f373-8f33-4f06-9856-fea90e0c9f0b · outbound

This paper cites XAInomaly: Explainable, Inter- pretable and Trustworthy AI for xURLLC in 6G Open-RAN,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection XAInomaly: Explainable, Inter- pretable and Trustworthy AI for xURLLC in 6G Open-RAN,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.597394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a45cb35b-d090-4255-9383-6b1c72e06d7f · outbound

This paper cites Toward native explainable and robust AI in 6G networks: Current state, challenges and road ahead,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Toward native explainable and robust AI in 6G networks: Current state, challenges and road ahead,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.590688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e5f5bf0e-3bb4-41f2-a67a-ea7d98c37aaf · outbound

This paper cites Benchmarking of Anomaly Detection Techniques in O-RAN for Handover Optimization,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Benchmarking of Anomaly Detection Techniques in O-RAN for Handover Optimization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.583804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a5a76fc5-cfa4-4d9f-a0c5-ea54238945ef · outbound

This paper cites Machine Learning Applied to Anomaly Detection on 5G O-RAN Architecture,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Machine Learning Applied to Anomaly Detection on 5G O-RAN Architecture,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.574580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 47127c62-6a87-4836-b71e-c2fa34110acb · outbound

This paper cites EXPLORA: AI/ML EXPLainability for the Open RAN,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection EXPLORA: AI/ML EXPLainability for the Open RAN,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.567974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3bfa6752-b050-44bc-a8d1-267bfcab0e47 · outbound

This paper cites Explainable and Robust Artificial Intelligence for Trustworthy Resource Management in 6G Networks,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Explainable and Robust Artificial Intelligence for Trustworthy Resource Management in 6G Networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.559609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 10c930b9-ff83-4d6e-926b-5707620c31c7 · outbound

This paper cites Leveraging Explainable AI for Reducing Queries of Performance Indicators in Open RAN,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Leveraging Explainable AI for Reducing Queries of Performance Indicators in Open RAN,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.552931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c356351c-682c-4165-9ca2-48ff412645ce · outbound

This paper cites Deep Autoencoder Design for RF Anomaly Detection in 5G O-RAN Near-RT RIC via xApps,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Deep Autoencoder Design for RF Anomaly Detection in 5G O-RAN Near-RT RIC via xApps,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.546146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e0fb0bfc-5764-42c0-ae71-36fa9f6d0956 · outbound

This paper cites O-RAN Architecture Description,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection O-RAN Architecture Description,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.539367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f15e2211-76af-4936-9705-11cb462a611e · outbound

This paper cites O-RAN Fronthaul Control, User and Synchronization Plane Specification,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection O-RAN Fronthaul Control, User and Synchronization Plane Specification,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.531475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2b8199c9-c4c9-423d-8ad6-5c6d7f78e5d1 · outbound

This paper cites O-RAN Use Cases and Requirements,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection O-RAN Use Cases and Requirements,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.523952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1bb4aede-a12b-484a-a896-ccc7e07362e4 · outbound

This paper cites O-RAN A1 interface: General Aspects and Princi- ples,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection O-RAN A1 interface: General Aspects and Princi- ples,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.516666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9d1248a2-e1c6-4936-baca-3fbc0d4ee182 · outbound

This paper cites O-RAN O1 Interface Specification,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection O-RAN O1 Interface Specification,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.508981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a7033ef0-1cd5-4bc8-8d15-db2871719952 · outbound

This paper cites O-RAN SMO Intents-driven Management,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection O-RAN SMO Intents-driven Management,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.501288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6b39ad7e-2e23-4000-963e-d9309da15055 · outbound

This paper cites O-RAN Near-RT RIC Architecture,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection O-RAN Near-RT RIC Architecture,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.494911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a367c8bc-6c9b-406d-8a03-7d400dc5bb87 · outbound

This paper cites PRISM: Pre-training RF Signals in Sparsity-aware Masked Autoencoders,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection PRISM: Pre-training RF Signals in Sparsity-aware Masked Autoencoders,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.488836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 64221099-6ab8-4201-aa76-9968f4aabc34 · outbound

This paper cites CVCA: A Complex- Valued Classifiable Autoencoder for MmWave Massive MIMO Physical Layer Authentication,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection CVCA: A Complex- Valued Classifiable Autoencoder for MmWave Massive MIMO Physical Layer Authentication,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.482337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eddc977e-1ccb-4a49-b359-c769a94d8dd6 · outbound

This paper cites CSI-GPT: Integrating Generative Pre-Trained Transformer With Federated-Tuning to Acquire Downlink Mas- sive MIMO Channels,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection CSI-GPT: Integrating Generative Pre-Trained Transformer With Federated-Tuning to Acquire Downlink Mas- sive MIMO Channels,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.475581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 60c6e25d-7429-4d50-851f-6359b7412e4f · outbound

This paper cites Zhu and A.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Zhu and A

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.468667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c7f9a34a-330a-4eee-a333-2432fc4313cf · outbound

This paper cites Reducing the Dimen- sionality of Data with Neural Networks,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Reducing the Dimen- sionality of Data with Neural Networks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.461783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7c07671e-c80f-4457-adbc-32653ddd9f56 · outbound

This paper cites Contractive auto-encoders: explicit invariance during feature extraction,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Contractive auto-encoders: explicit invariance during feature extraction,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.454443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation abc4816e-5243-44f3-8501-a53213bf1712 · outbound

This paper cites Adam: A Method for Stochastic Optimization,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Adam: A Method for Stochastic Optimization,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.445703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b768ea07-6d13-477d-8f9d-7b44d92df445 · outbound

This paper cites Visualizing Data using t- SNE,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Visualizing Data using t- SNE,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.437602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d3b34898-b11d-4c09-8c09-6ee3cf2232ce · outbound

This paper cites Regularising LSTM classifier by transfer learning for detecting misogynistic tweets with small training set,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Regularising LSTM classifier by transfer learning for detecting misogynistic tweets with small training set,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.429632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5ade5e30-95c2-4795-be50-995aa8556cfb · outbound

This paper cites Scikit-learn: Machine Learning in Python,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Scikit-learn: Machine Learning in Python,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.420621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5f8085ee-4cf9-402d-a393-0d2edbf351b3 · outbound

This paper cites Multilayer feedfor- ward networks are universal approximators,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Multilayer feedfor- ward networks are universal approximators,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.412432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 153818d1-c11e-4be5-9c20-d0c6cc00883e · outbound

This paper cites Large-Scale Machine Learning with Stochastic Gra- dient Descent,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Large-Scale Machine Learning with Stochastic Gra- dient Descent,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.404261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7ec3104c-7de2-4e4b-a4c2-580aec4eef72 · outbound

This paper cites Deep Sparse Rectifier Neural Networks,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Deep Sparse Rectifier Neural Networks,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.394453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 11dd7894-4681-43de-a441-7d0be2bf6389 · outbound

This paper cites Anomaly Detection Using Autoencoders in High Performance Computing Systems,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection Anomaly Detection Using Autoencoders in High Performance Computing Systems,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.385459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ed78f2e-54c9-4fc5-8ab5-31c65e0ca42c · outbound

This paper cites A Semi-Supervised V AE Based Active Anomaly Detection Framework in Multivariate Time Series for Online Systems,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection A Semi-Supervised V AE Based Active Anomaly Detection Framework in Multivariate Time Series for Online Systems,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.377407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5dd74fc2-11e7-46ac-8652-e3c28bf9c689 · outbound

This paper cites A Unified Approach to Inter- preting Model Predictions,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection A Unified Approach to Inter- preting Model Predictions,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.366832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fa9e1d06-af42-42cb-9dae-7a9e876b5116 · outbound

This paper cites FastSHAP: Real-Time Shapley Value Estimation,.

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection FastSHAP: Real-Time Shapley Value Estimation,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:24:12.355583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 940be4da-b7a4-4a20-bcca-a81e61a72eb6 · inbound

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs cites this paper.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-08-15T17:47:17.167379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.