Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:23.002242Z
Paper Citation Record · LEDGER
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data
As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2505.14027.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:16:51.038434Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T10:16:51.075509Z
Reference resolution
52 of 52 outbound references displayed
- verified exact0
- verified fuzzy45
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation db2fb2b1-c9e0-476e-ad65-99fcbae524d7 · outbound
This paper cites Survey of intrusion detection systems: techniques, datasets and challenges.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Survey of intrusion detection systems: techniques, datasets and challenges
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:38.547970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 54a24f3b-7767-406d-899f-d3b202d86612 · outbound
This paper cites FIREMAN: a toolkit for firewall modeling and analysis.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data FIREMAN: a toolkit for firewall modeling and analysis
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:38.295855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 98b4a25f-b764-4f39-a1d9-96cad700f575 · outbound
This paper cites an unresolved cited work.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:43:38.018273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d4612a63-c858-48c6-9838-fecb32ca9dd5 · outbound
This paper cites A deep learning approach for network intrusion detection system.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data A deep learning approach for network intrusion detection system
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:37.825877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation fa8aacfe-9ec0-4c97-9a47-84dcddfd8a84 · outbound
This paper cites an unresolved cited work.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:43:37.444751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b2a0c82c-cd74-4fb0-808f-24fae4cb9322 · outbound
This paper cites CSE-IDS: Using cost-sensitive deep learning and ensemble algorithms to handle class imbalance in network-based intrusion detection systems.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data CSE-IDS: Using cost-sensitive deep learning and ensemble algorithms to handle class imbalance in network-based intrusion detection systems
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:37.147604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ab2b5f26-72da-411a-b5a7-cf442b28ab17 · outbound
This paper cites A novel multi-module integrated intrusion detection system for high-dimensional imbalanced data.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data A novel multi-module integrated intrusion detection system for high-dimensional imbalanced data
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:36.854820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8aa07028-8c6e-43f1-8ace-467073925f9f · outbound
This paper cites Gradient-Based Learning Applied to Doc- ument Recognition.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Gradient-Based Learning Applied to Doc- ument Recognition
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:36.636893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4e3c2da8-54d9-45fb-885d-47110d358101 · outbound
This paper cites Robust Detection for Network Intrusion of Industrial IoT Based on Multi-CNN Fusion.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Robust Detection for Network Intrusion of Industrial IoT Based on Multi-CNN Fusion
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:36.424302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e7b27029-0d48-4836-bd9d-e748639a0ef8 · outbound
This paper cites A., Rizaner, A., Ulusoy, A.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data A., Rizaner, A., Ulusoy, A
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:36.229581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a9f4b40b-abc8-4427-9c4e-1642239da196 · outbound
This paper cites A deep learning model for network intrusion detection with imbalanced data.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data A deep learning model for network intrusion detection with imbalanced data
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:36.004855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 394230d0-d34b-49da-9a45-92f063744c51 · outbound
This paper cites Long short-term memory.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Long short-term memory
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:35.875588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 77fcacec-a05a-4733-b552-63f817844dee · outbound
This paper cites V., Bowyer, K.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data V., Bowyer, K
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:35.640868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ab70cff0-eaf8-42f7-9887-3a71042dbdae · outbound
This paper cites Network Intrusion Detection Combined Hybrid Sampling With Deep Hierarchical Network.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Network Intrusion Detection Combined Hybrid Sampling With Deep Hierarchical Network
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:35.456402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7bd34d0f-3e3e-4d60-b92a-76ba21576d82 · outbound
This paper cites AESMOTE: Adversarial Reinforcement Learning With SMOTE for Anomaly Detection.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data AESMOTE: Adversarial Reinforcement Learning With SMOTE for Anomaly Detection
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:35.246905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d633e6fd-e0f0-41e2-8869-ed77c2aad3a6 · outbound
This paper cites Generative Adversarial Nets.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Generative Adversarial Nets
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:35.088425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 298cfc3b-dea8-4c20-a1b1-d0050470a9cb · outbound
This paper cites H., Park, K.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data H., Park, K
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:34.923718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 71461d61-89db-4262-b00e-81ecfdb4a97d · outbound
This paper cites Conditional Generative Adversarial Nets.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Conditional Generative Adversarial Nets
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:43:19.247393Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6301f390-e7c9-4190-ba0e-8b9b35252fab · outbound
This paper cites Effective data generation for imbalanced learning using Conditional Generative Adversarial Networks.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Effective data generation for imbalanced learning using Conditional Generative Adversarial Networks
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:34.738236Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3eca00f5-3abc-40b7-94c8-049f6472484b · outbound
This paper cites Wasserstein generative adversarial networks.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Wasserstein generative adversarial networks
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:34.499070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ad8936f9-1af3-44d0-bbcd-de5c3972112e · outbound
This paper cites Attention is all you need.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Attention is all you need
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:34.268806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b365687e-92bf-4510-bd1c-a4d91174ff1a · outbound
This paper cites B., Mann, B., Ryder, N., et al.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data B., Mann, B., Ryder, N., et al
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:34.076428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f9d652a9-e914-41d8-a13a-3dbd8045ffd5 · outbound
This paper cites Self-attention generative adversarial networks.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Self-attention generative adversarial networks
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:33.910350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4aea9670-5b17-4cf2-b220-cc9987c26620 · outbound
This paper cites Deep residual learning for image recognition.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Deep residual learning for image recognition
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:33.762687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d5070901-04a6-4b83-8951-c1252530c31b · outbound
This paper cites Y., et al.
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:33.595989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f5bdd381-bcef-4693-858b-f1ab8c2be09e · outbound
This paper cites A Detailed Analysis of the KDD CUP 99 Data Set.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data A Detailed Analysis of the KDD CUP 99 Data Set
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:33.385610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 78dd8100-5b2e-4618-a608-2bf6a8ff1451 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Adam: A Method for Stochastic Optimization
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:43:20.466350Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2362fcb8-a8e0-4468-942c-edceab61adfc · outbound
This paper cites Y., Mao, B.
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:33.166371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 973bd62c-f4c3-445e-bee3-5d4527c8c4f4 · outbound
This paper cites Improving Imbalanced Learning Through a Heuris- tic Oversampling Method Based on K-means and SMOTE.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Improving Imbalanced Learning Through a Heuris- tic Oversampling Method Based on K-means and SMOTE
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:32.938021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 365b09e1-2533-456f-a96a-0a5ba1025085 · outbound
This paper cites M., Cooper, E.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data M., Cooper, E
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:32.673011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 06cd1544-1d9e-48a9-9db0-238faae2fafd · outbound
This paper cites P., Welling, M., Auto-Encoding Variational Bayes.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data P., Welling, M., Auto-Encoding Variational Bayes
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:32.438087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ba62aa1e-1bdf-41b9-a2d1-0d04ea136e5b · outbound
This paper cites an unresolved cited work.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:43:32.240868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ccce7a41-382e-4a6e-9bc5-1d13f2ad0127 · outbound
This paper cites J., Liu, B., Sheng, L., et al.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data J., Liu, B., Sheng, L., et al
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:31.972041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a3766db1-1ed6-4561-b5fb-2139b5ba940d · outbound
This paper cites an unresolved cited work.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:43:31.830240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a9a6f400-3b2d-4bd1-837d-ae56423959d9 · outbound
This paper cites XGBoost: A Scalable Tree Boosting System.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data XGBoost: A Scalable Tree Boosting System
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:31.643729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0bb65729-3241-4321-a623-3986107a8405 · outbound
This paper cites Intrusion detection system for NSL-KDD dataset using convo- lutional neural networks.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Intrusion detection system for NSL-KDD dataset using convo- lutional neural networks
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:31.482005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 29644e03-3e57-4041-929d-f8b22eae91f0 · outbound
This paper cites F., Huang, C.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data F., Huang, C
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:31.251536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b7d1be30-1308-4d70-9db2-5f371edf6477 · outbound
This paper cites P., et al.
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:30.990138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 505c0c2e-d1b0-4f76-b982-094124230cf3 · outbound
This paper cites Soft-computing-basedfalsealarmreductionforhierarchicaldataof intrusion detection system.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Soft-computing-basedfalsealarmreductionforhierarchicaldataof intrusion detection system
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:30.780719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f3664179-0a79-4d63-bcac-070bcf8d9bd6 · outbound
This paper cites Siam-IDS: Handling Class Imbalance Problem in Intrusion Detection Systems Using Siamese Neural Network.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Siam-IDS: Handling Class Imbalance Problem in Intrusion Detection Systems Using Siamese Neural Network
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:30.616072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 58b416f8-4b93-4586-afe6-ad00b96f00a3 · outbound
This paper cites I-SiamIDS: An Improved Siam-IDS for Handling Class Imbalance in Network-Based Intrusion Detection Systems.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data I-SiamIDS: An Improved Siam-IDS for Handling Class Imbalance in Network-Based Intrusion Detection Systems
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:30.407372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8ba062f0-69cb-455f-870c-43208479a5c9 · outbound
This paper cites LIO-IDS: Handling Class Imbalance Using LSTM and Improved One-vs-One Technique in Intrusion Detection System.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data LIO-IDS: Handling Class Imbalance Using LSTM and Improved One-vs-One Technique in Intrusion Detection System
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:30.124547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5d2e8b9d-51b6-4b10-92aa-36afad920491 · outbound
This paper cites S., Kumar, R., et al.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data S., Kumar, R., et al
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:25.622752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 13cd0b50-1970-4395-90e8-e84ea8f3711d · outbound
This paper cites Network Abnormal Traffic Detection Model Based on Semi-Supervised Deep Reinforcement Learning.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Network Abnormal Traffic Detection Model Based on Semi-Supervised Deep Reinforcement Learning
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:25.392216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 41c0083a-0550-496e-a47b-236b958cc19b · outbound
This paper cites Adversarial Environment Reinforce- ment Learning Algorithm for Intrusion Detection.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Adversarial Environment Reinforce- ment Learning Algorithm for Intrusion Detection
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:25.050318Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 25599474-1b2e-4fc1-9b53-9fba2912a6de · outbound
This paper cites Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI).
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:24.784811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6c47537f-c49f-4a07-a368-a1a9e344a9c2 · outbound
This paper cites xNIDM: Explaining Deep Learning-based Net- work Intrusion Detection Systems for Active Intrusion Responses.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data xNIDM: Explaining Deep Learning-based Net- work Intrusion Detection Systems for Active Intrusion Responses
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:24.422850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation eab6b513-9c80-4707-aa81-0e90150f440c · outbound
This paper cites Why Should I Trust You?.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Why Should I Trust You?
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:24.105777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 43f3850b-dca9-4998-9250-833636f3a233 · outbound
This paper cites A Unified Approach to Interpreting Model Predictions.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data A Unified Approach to Interpreting Model Predictions
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:23.764754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 40f6528d-fbe7-4168-a566-6e24dd644aaa · outbound
This paper cites A., Delas, J., Neal, C.,et al.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data A., Delas, J., Neal, C.,et al
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:23.570829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e3a16949-f3aa-4124-9bd5-55b3c36480ee · outbound
This paper cites Distilling the Knowledge in a Neural Network.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Distilling the Knowledge in a Neural Network
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:43:22.944469Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c176b0cc-e7dc-45e5-a3ee-f62ef72c58fd · outbound
This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:43:23.372202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Pith citing papers
Observation 21b85faf-e5e2-4f95-bf88-7d83556432d5 · inbound
$\text{C}^{2}\text{BNVAE}$: Dual-Conditional Deep Generation of Network Traffic Data for Network Intrusion Detection System Balancing cites this paper.
$\text{C}^{2}\text{BNVAE}$: Dual-Conditional Deep Generation of Network Traffic Data for Network Intrusion Detection System Balancing CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:16:51.081180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.