Paper Citation Record · LEDGER

Time Series Based Network Intrusion Detection using MTF-Aided Transformer

As of 9 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2508.16035.

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

pith.paper-citation-record.v1
2508.16035 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:38:39.790786Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

16 of 16 outbound references displayed

verified exact0
verified fuzzy14
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 42c0e7c7-86e9-40ea-889c-0b4dbeed566e · outbound

This paper cites Software-defined networking: A comprehensive survey,.

Time Series Based Network Intrusion Detection using MTF-Aided Transformer Software-defined networking: A comprehensive survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:38:43.101524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 35b85d22-da35-4a9e-9078-4bbc4232e4f5 · outbound

This paper cites Sdn security review: Threat taxonomy, implications, and open challenges,.

Time Series Based Network Intrusion Detection using MTF-Aided Transformer Sdn security review: Threat taxonomy, implications, and open challenges,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:38:42.636405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c4904266-a7d1-4f9d-a35b-eeaa4548675d · outbound

This paper cites An enhanced resilient backpropagation artificial neural network for intrusion detection system,.

Time Series Based Network Intrusion Detection using MTF-Aided Transformer An enhanced resilient backpropagation artificial neural network for intrusion detection system,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:38:42.265316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 33d5edcb-e178-4a68-9bb6-2fd9bdf75cdc · outbound

This paper cites Enhanced network intrusion detection using deep convolutional neural networks,.

Time Series Based Network Intrusion Detection using MTF-Aided Transformer Enhanced network intrusion detection using deep convolutional neural networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:38:42.018984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 38d24e18-3412-476d-96ad-6d3d2701bbc0 · outbound

This paper cites Network intrusion detection via flow-to-image conversion and vision transformer classification,.

Time Series Based Network Intrusion Detection using MTF-Aided Transformer Network intrusion detection via flow-to-image conversion and vision transformer classification,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:38:41.791835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d24c5901-e1a1-4445-952e-aaf0b9ccbc0f · outbound

This paper cites A convolutional neural network for improved anomaly-based network intrusion detection,.

Time Series Based Network Intrusion Detection using MTF-Aided Transformer A convolutional neural network for improved anomaly-based network intrusion detection,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:38:41.583319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c9398546-9eb8-49cd-8734-99aaba099366 · outbound

This paper cites A novel approach for network intrusion detection using multistage deep learning image recognition,.

Time Series Based Network Intrusion Detection using MTF-Aided Transformer A novel approach for network intrusion detection using multistage deep learning image recognition,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:38:41.344269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 71ade03c-a35a-4001-9398-4d00bf54d04a · outbound

This paper cites Deep learning for anomaly detection in time-series data: Review, analysis, and guidelines,.

Time Series Based Network Intrusion Detection using MTF-Aided Transformer Deep learning for anomaly detection in time-series data: Review, analysis, and guidelines,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:38:41.176061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7d16476a-b815-4f21-aeb2-c56202158b88 · outbound

This paper cites Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning.

Time Series Based Network Intrusion Detection using MTF-Aided Transformer Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T17:38:38.816466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62cc930d-a541-4ad4-8eca-190b38f8aeb3 · outbound

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

Time Series Based Network Intrusion Detection using MTF-Aided Transformer An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T17:38:38.979060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5daba24-f367-4338-9aba-6baa24995ed7 · outbound

This paper cites An attention- based convlstm autoencoder with dynamic thresholding for unsupervised anomaly detection in multivariate time series,.

Time Series Based Network Intrusion Detection using MTF-Aided Transformer An attention- based convlstm autoencoder with dynamic thresholding for unsupervised anomaly detection in multivariate time series,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:38:40.987006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7b273e73-91f0-4d53-b12c-bcfaee4cc209 · outbound

This paper cites Insdn: A novel sdn intrusion dataset,.

Time Series Based Network Intrusion Detection using MTF-Aided Transformer Insdn: A novel sdn intrusion dataset,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:38:40.818682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9e620a03-be57-42c3-b545-d43fc728f588 · outbound

This paper cites Efficient knn classi- fication with different numbers of nearest neighbors,.

Time Series Based Network Intrusion Detection using MTF-Aided Transformer Efficient knn classi- fication with different numbers of nearest neighbors,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:38:40.611449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 39b1e54f-6a2e-49b5-95f5-f5979c717025 · outbound

This paper cites Random forest in remote sensing: A review of applications and future directions,.

Time Series Based Network Intrusion Detection using MTF-Aided Transformer Random forest in remote sensing: A review of applications and future directions,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:38:40.424314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6eca9b0f-825a-4b98-9a83-2dc13b526284 · outbound

This paper cites Network anomaly detection using lstm based autoencoder,.

Time Series Based Network Intrusion Detection using MTF-Aided Transformer Network anomaly detection using lstm based autoencoder,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:38:40.213375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6dd257c8-56ca-4068-8ebd-8e21c405d8f5 · outbound

This paper cites Unsupervised anomaly detection via variational auto-encoder for seasonal kpis in web applications,.

Time Series Based Network Intrusion Detection using MTF-Aided Transformer Unsupervised anomaly detection via variational auto-encoder for seasonal kpis in web applications,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:38:40.003507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.