Paper Citation Record · LEDGER

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection

As of 22 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2412.00911.

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

pith.paper-citation-record.v1
2412.00911 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:58:03.473160Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:22:41.430051Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

verified exact0
verified fuzzy41
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 73135eda-8a38-4aaa-a856-955505df1003 · outbound

This paper cites Cisco cybersecurity readiness index,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Cisco cybersecurity readiness index,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:04.215441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 338dc650-8ad4-48fc-a7fa-328eac45a25c · outbound

This paper cites Haystack: An intrusion detection system,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Haystack: An intrusion detection system,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:04.199180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 93c83de3-8a1f-4507-8e2c-29388470dae2 · outbound

This paper cites Anomaly detection: A survey,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Anomaly detection: A survey,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:04.184409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 424f57fb-6e93-465f-a83f-fbdf74e11353 · outbound

This paper cites Drift forensics of malware classifiers,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Drift forensics of malware classifiers,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:04.167894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 63c131da-9537-4172-8b09-68ff2fb15e12 · outbound

This paper cites Insomnia: Towards concept-drift robustness in network intrusion detection,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Insomnia: Towards concept-drift robustness in network intrusion detection,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:04.151341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 85f6009e-04f1-44fb-b765-1d24c3a293f5 · outbound

This paper cites Augmented memory replay-based continual learning approaches for network intru- sion detection,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Augmented memory replay-based continual learning approaches for network intru- sion detection,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:04.134950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d0cf4c55-af33-4fad-a8f6-28d6a0bec2e5 · outbound

This paper cites Online continual learning in image classification: An empirical survey,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Online continual learning in image classification: An empirical survey,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T04:58:03.284872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ae21ff3-b184-4cde-98b4-d86cb29fa39c · outbound

This paper cites A lifelong learning perspective for mobile robot control,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection A lifelong learning perspective for mobile robot control,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:04.107393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 29fb06fb-5e8c-4de9-bc9b-4cd86bd5664c · outbound

This paper cites Continual lifelong learning with neural networks: A review,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Continual lifelong learning with neural networks: A review,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T04:58:03.293644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc59e7a1-0d5e-41de-b633-f2aff9dd7650 · outbound

This paper cites Efficient Lifelong Learning with A-GEM.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Efficient Lifelong Learning with A-GEM

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T04:58:03.298342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21453741-ced9-4291-a133-3a9b968ff35e · outbound

This paper cites Online continual learning with maximal interfered retrieval,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Online continual learning with maximal interfered retrieval,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:04.081213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8a4aec9c-3cf3-4371-824f-00c8fdf5731f · outbound

This paper cites Gradient based sample selection for online continual learning,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Gradient based sample selection for online continual learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:04.065146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4c92a45d-e2c7-4194-8a0c-4b2e0cc9a91a · outbound

This paper cites A continual learning survey: Defying forgetting in classification tasks,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection A continual learning survey: Defying forgetting in classification tasks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:04.046362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 94c0e392-8f2e-44d7-a74c-201eb51a799e · outbound

This paper cites A Comprehensive Survey of Continual Learning: Theory, Method and Application.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T04:58:03.316737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1c0c502-0010-4370-a9ba-13740a0f2509 · outbound

This paper cites Sok: The impact of unlabelled data in cyberthreat detection,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Sok: The impact of unlabelled data in cyberthreat detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:04.030929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e54c7d52-200f-458b-b3bb-39a712a6c7d3 · outbound

This paper cites The role of machine learning in cybersecurity,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection The role of machine learning in cybersecurity,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:04.014333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 41c4e8e2-5c94-48d1-80d0-172b1f8aa53c · outbound

This paper cites Error prevalence in nids datasets: A case study on cic-ids-2017 and cse-cic- ids-2018,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Error prevalence in nids datasets: A case study on cic-ids-2017 and cse-cic- ids-2018,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.996545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7e418422-003d-4553-b765-2a73ef9ba479 · outbound

This paper cites Continual learning for anomaly detection with variational autoencoder,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Continual learning for anomaly detection with variational autoencoder,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.981109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 979128a0-ff69-4495-b3bf-644e0870e9c4 · outbound

This paper cites Continual learning for anomaly based network intrusion detection,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Continual learning for anomaly based network intrusion detection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.965676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9f8a48f7-c290-450e-aaf1-b7534e20a4fd · outbound

This paper cites Continual learning with network intrusion dataset,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Continual learning with network intrusion dataset,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.951041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d2289a5b-d26a-4d3b-a9a7-56b4e430f4f1 · outbound

This paper cites Anomaly detection in the open world: Normality shift detection, explanation, and adaptation,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Anomaly detection in the open world: Normality shift detection, explanation, and adaptation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.937224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 76f2631f-8bbf-4c07-9531-24fab2f93972 · outbound

This paper cites Trident: A universal framework for fine-grained and class-incremental unknown traffic de- tection,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Trident: A universal framework for fine-grained and class-incremental unknown traffic de- tection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.923382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5fcc4e6b-7028-4a71-9dad-b32b7eb345c5 · outbound

This paper cites Recda: Concept drift adaptation with representation enhancement for network intrusion detection,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Recda: Concept drift adaptation with representation enhancement for network intrusion detection,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.907649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5b2fb25d-6164-4aa7-ab27-51c8ca8e9723 · outbound

This paper cites When Adversarial Perturbations meet Concept Drift: an Exploratory Analysis on ML-NIDS,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection When Adversarial Perturbations meet Concept Drift: an Exploratory Analysis on ML-NIDS,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.892001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c8694240-d21d-4a92-8502-beac2abde88e · outbound

This paper cites Orthogonal gradient descent for continual learning,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Orthogonal gradient descent for continual learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.875812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 32a49a3a-0670-40c3-b86d-06dd511a0276 · outbound

This paper cites Gradient episodic memory for continual learning,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Gradient episodic memory for continual learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.859276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation aef9ca6e-eb42-4323-8bbe-7c8edbeb725a · outbound

This paper cites Understand- ing deep learning requires rethinking generalization,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Understand- ing deep learning requires rethinking generalization,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.841946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0d434b03-dc6b-4b27-833c-d5ca07f3c89a · outbound

This paper cites Smote for learning from imbalanced data: progress and challenges, marking the 15-year anniversary,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Smote for learning from imbalanced data: progress and challenges, marking the 15-year anniversary,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.826158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 42d0d667-3869-4c7d-a46a-482343af1dc4 · outbound

This paper cites Cost-sensitive learning methods for imbalanced data,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Cost-sensitive learning methods for imbalanced data,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.810360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1daa799c-76fd-4706-b11f-d9ffbfc7cfa5 · outbound

This paper cites Online continual learning from imbal- anced data,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Online continual learning from imbal- anced data,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.795000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 868f396f-85b6-482c-b89a-cbc0e81fb31b · outbound

This paper cites Gradient projection memory for continual learning,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Gradient projection memory for continual learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.780002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c0c2b696-5d17-4481-83c5-2a71db514c2d · outbound

This paper cites Knowledge distillation: A survey,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Knowledge distillation: A survey,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T04:58:03.405355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 166d487d-8d6a-4760-ae23-3262f4824b77 · outbound

This paper cites Exploring orthogonality in open world object detection,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Exploring orthogonality in open world object detection,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.756240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cdddcf79-cc93-4c76-8b6f-187e72626f9a · outbound

This paper cites A survey on open-vocabulary detection and segmentation: Past, present, and future,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection A survey on open-vocabulary detection and segmentation: Past, present, and future,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.742150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f2c934db-39da-4f7e-9835-8b81fd7bbb75 · outbound

This paper cites Continuous learning for android malware detection,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Continuous learning for android malware detection,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.727333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation af548d19-6057-4578-867a-71b31c83e2c4 · outbound

This paper cites Towards open world object detection,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Towards open world object detection,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.711613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d9136d2a-d222-46e1-974f-1ada2180f6c9 · outbound

This paper cites An empirical com- parison of botnet detection methods,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection An empirical com- parison of botnet detection methods,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.696886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fb2d8f21-c00c-42bd-970e-e339cad1dbdc · outbound

This paper cites Unsw-nb15: a comprehensive data set for network intrusion detection systems (unsw-nb15 network data set),.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Unsw-nb15: a comprehensive data set for network intrusion detection systems (unsw-nb15 network data set),

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.681084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8329086f-bd16-48cf-b7b4-f1652de8f292 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Overcoming catastrophic forgetting in neural networks,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.663502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 46987fb3-3542-40bb-8cdb-659c7a4d591b · outbound

This paper cites Continual learning through synaptic intelligence,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Continual learning through synaptic intelligence,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.647859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0b6d7ba6-e1bc-45e7-bf3e-84794efe882e · outbound

This paper cites Ordisco: Effective and efficient usage of incremental unlabeled data for semi-supervised continual learning,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Ordisco: Effective and efficient usage of incremental unlabeled data for semi-supervised continual learning,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.631632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bf709e22-05e8-44e8-a9b0-5ceaa00a013c · outbound

This paper cites Memory-efficient semi- supervised continual learning: The world is its own replay buffer,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Memory-efficient semi- supervised continual learning: The world is its own replay buffer,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.615488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6bdd7c27-7d44-4283-ace1-5dc58306b5d2 · outbound

This paper cites Mixmatch: A holistic approach to semi-supervised learning,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Mixmatch: A holistic approach to semi-supervised learning,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.600675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d4aa7ffe-e386-451f-a22e-59d11e0f49a1 · outbound

This paper cites Fixmatch: Simplifying semi- supervised learning with consistency and confidence,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection Fixmatch: Simplifying semi- supervised learning with consistency and confidence,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.583562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f3e11c14-76b0-4a96-9c99-4c0c8e02e570 · outbound

This paper cites A soft nearest- neighbor framework for continual semi-supervised learning,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection A soft nearest- neighbor framework for continual semi-supervised learning,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.567643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bbbfe04e-9e60-4c86-8cbd-baaf07cb4412 · outbound

This paper cites TESSERACT: Eliminating experimental bias in malware classification across space and time,.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection TESSERACT: Eliminating experimental bias in malware classification across space and time,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:58:03.548863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 74b370af-2612-4592-bdd9-4b1652f8d984 · inbound

Towards Principled Continual Anomaly Detection: A Systematic Framework and Benchmark Scenarios cites this paper.

Towards Principled Continual Anomaly Detection: A Systematic Framework and Benchmark Scenarios SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T09:22:41.430051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.