Paper Citation Record · LEDGER

Take Package as Language: Anomaly Detection Using Transformer

As of 21 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2412.04473.

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

pith.paper-citation-record.v1
2412.04473 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:17:34.731671Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

30 of 30 outbound references displayed

verified exact0
verified fuzzy20
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2dc739dd-9fa3-4f16-840a-28d550ae7990 · outbound

This paper cites A systematic literature review for network intrusion detection system (ids).

Take Package as Language: Anomaly Detection Using Transformer A systematic literature review for network intrusion detection system (ids)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:35.101537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1b12ffec-398a-4be3-a101-6830e9b30c3b · outbound

This paper cites inids: Swot analysis and tows inferences of state-of-the-art nids solutions for the development of intelligent network intrusion detection system.

Take Package as Language: Anomaly Detection Using Transformer inids: Swot analysis and tows inferences of state-of-the-art nids solutions for the development of intelligent network intrusion detection system

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:35.089786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 00a1bcca-c2f6-4054-ba76-4abb45e631f6 · outbound

This paper cites Toward generating a new intrusion detection dataset and intrusion traffic characterization.

Take Package as Language: Anomaly Detection Using Transformer Toward generating a new intrusion detection dataset and intrusion traffic characterization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:34.580237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4181e331-c425-4bb6-8e4a-8c499ef9bc63 · outbound

This paper cites In-vehicle network intrusion detection using deep convolu- tional neural network.

Take Package as Language: Anomaly Detection Using Transformer In-vehicle network intrusion detection using deep convolu- tional neural network

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:35.069741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e065d3aa-3fdf-4ac8-a6d8-f0c364829b64 · outbound

This paper cites Deep learning for anomaly detection: A review.

Take Package as Language: Anomaly Detection Using Transformer Deep learning for anomaly detection: A review

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:34.588269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 887e1791-223a-4306-bcc3-d3abb83521d0 · outbound

This paper cites Cse-ids: Using cost-sensitive deep learning and ensemble algorithms to handle class imbalance in network-based intrusion detection systems.

Take Package as Language: Anomaly Detection Using Transformer 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 2026-08-12T20:17:35.050509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 54b96084-eea0-4e19-b2c3-c805fca0e768 · outbound

This paper cites Intrusion detection system using pca with random forest approach.

Take Package as Language: Anomaly Detection Using Transformer Intrusion detection system using pca with random forest approach

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:35.036402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3371cd8b-c904-444c-909c-84de515e8716 · outbound

This paper cites Optimization of ids using filter-based feature selection and machine learning algorithms.

Take Package as Language: Anomaly Detection Using Transformer Optimization of ids using filter-based feature selection and machine learning algorithms

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:35.024553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7cbfca54-bb6a-4e84-9b44-fc43cf859a4b · outbound

This paper cites Intrusion detection system after data augmentation schemes based on the vae and cvae.

Take Package as Language: Anomaly Detection Using Transformer Intrusion detection system after data augmentation schemes based on the vae and cvae

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:35.012392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4e26734d-05ed-471f-9cf9-5dc51aa3ea0e · outbound

This paper cites Gan-based imbalanced data intrusion detection system.

Take Package as Language: Anomaly Detection Using Transformer Gan-based imbalanced data intrusion detection system

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:34.999434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 50414255-8c62-4c90-995c-ce2f4eca71af · outbound

This paper cites Intrusion detection system based on one-class support vector machine and gaussian mixture model.

Take Package as Language: Anomaly Detection Using Transformer Intrusion detection system based on one-class support vector machine and gaussian mixture model

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:34.986636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c0380b81-bc32-4725-91ae-dc2e85008525 · outbound

This paper cites Improving language understanding by generative pre-training.

Take Package as Language: Anomaly Detection Using Transformer Improving language understanding by generative pre-training

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:34.634516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c978c43-c174-4c70-b9a4-dd25f06fea75 · outbound

This paper cites Toutanova.

Take Package as Language: Anomaly Detection Using Transformer Toutanova

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:34.966692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1388938d-cb66-4a73-ae6f-3373a9eeb2e8 · outbound

This paper cites Language Models are Few-Shot Learners.

Take Package as Language: Anomaly Detection Using Transformer Language Models are Few-Shot Learners

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:34.656467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b77a712b-a269-4ebc-a5b4-4057af664154 · outbound

This paper cites Emergent Abilities of Large Language Models.

Take Package as Language: Anomaly Detection Using Transformer Emergent Abilities of Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:34.661894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d922c665-4ac2-465f-9796-e74cd6100277 · outbound

This paper cites A transfer learning and optimized cnn based intrusion detection system for internet of vehicles.

Take Package as Language: Anomaly Detection Using Transformer A transfer learning and optimized cnn based intrusion detection system for internet of vehicles

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:34.953486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 166c9f8a-d3c5-4798-958f-7ee585d04ea6 · outbound

This paper cites Cnn-based network intrusion detection against denial-of-service attacks.

Take Package as Language: Anomaly Detection Using Transformer Cnn-based network intrusion detection against denial-of-service attacks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:34.940101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4c3ca39b-2dc6-424d-88cb-dd667dd4b5d0 · outbound

This paper cites A novel two-stage deep learning model for network intrusion detection: Lstm-ae.

Take Package as Language: Anomaly Detection Using Transformer A novel two-stage deep learning model for network intrusion detection: Lstm-ae

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:34.928026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7afef8d8-ce5f-4f8b-a1af-40bd11b6b9e3 · outbound

This paper cites An effective recurrent neural network (rnn) based intrusion detection via bi-directional long short-term memory.

Take Package as Language: Anomaly Detection Using Transformer An effective recurrent neural network (rnn) based intrusion detection via bi-directional long short-term memory

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:34.914602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b89cad8c-de66-4529-8743-a858b16d0469 · outbound

This paper cites Canbert: A language-based intrusion detection model for in-vehicle networks.

Take Package as Language: Anomaly Detection Using Transformer Canbert: A language-based intrusion detection model for in-vehicle networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:34.902299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 80278b4c-3157-4415-970d-7df59dfd9d00 · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

Take Package as Language: Anomaly Detection Using Transformer Neural Machine Translation of Rare Words with Subword Units

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:34.692378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1af257c-4e78-48bb-99f9-81b97522ca29 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

Take Package as Language: Anomaly Detection Using Transformer Roformer: Enhanced transformer with rotary position embedding

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:34.697199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a9a8070-8e9e-4e18-9904-ce3887ddd031 · outbound

This paper cites Can-bert do it? controller area network intrusion detection system based on bert language model.

Take Package as Language: Anomaly Detection Using Transformer Can-bert do it? controller area network intrusion detection system based on bert language model

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:34.883080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0ee8ae68-d9b2-49a7-bc04-574dfb3a476f · outbound

This paper cites Intrusion detection method using bi-directional gpt for in-vehicle controller area networks.

Take Package as Language: Anomaly Detection Using Transformer Intrusion detection method using bi-directional gpt for in-vehicle controller area networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:34.705652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1318f30a-5334-4c86-858e-39622d2d484f · outbound

This paper cites Language models can improve event prediction by few-shot abductive reasoning.

Take Package as Language: Anomaly Detection Using Transformer Language models can improve event prediction by few-shot abductive reasoning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:34.863297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f776687a-7b77-48a6-8661-f1d977de1289 · outbound

This paper cites Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

Take Package as Language: Anomaly Detection Using Transformer Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:34.713668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56e596ff-4ef9-4919-903f-4c9648cf5e70 · outbound

This paper cites GLU Variants Improve Transformer.

Take Package as Language: Anomaly Detection Using Transformer GLU Variants Improve Transformer

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T20:17:34.718465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f40510de-0175-41fb-b1f5-c9d1ddd2f84c · outbound

This paper cites Self-supervised Pre-training on LSTM and Transformer Models for Network Intrusion Detection.

Take Package as Language: Anomaly Detection Using Transformer Self-supervised Pre-training on LSTM and Transformer Models for Network Intrusion Detection

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:34.849003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c5c76a2f-6cee-420f-9df2-3535adb486c4 · outbound

This paper cites Synthe- sis of a machine learning model for detecting computer attacks based on the cicids2017 dataset.

Take Package as Language: Anomaly Detection Using Transformer Synthe- sis of a machine learning model for detecting computer attacks based on the cicids2017 dataset

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:34.835666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4414de0e-5562-4490-8365-650a00254a78 · outbound

This paper cites Deep learning applications for intrusion detection in network traffic.

Take Package as Language: Anomaly Detection Using Transformer Deep learning applications for intrusion detection in network traffic

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:17:34.823230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.