Paper Citation Record · LEDGER

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection

As of 19 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2506.23446.

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

pith.paper-citation-record.v1
2506.23446 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:48:30.497392Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

36 of 36 outbound references displayed

verified exact1
verified fuzzy30
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ec04281-72a5-47a0-b1d5-ca4c71569f1c · outbound

This paper cites Cost of insider risks, 2023.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Cost of insider risks, 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:35.029814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8e4cc357-d7a4-4e45-96ee-4da1bc7e95a7 · outbound

This paper cites Defining insider threats, 2023.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Defining insider threats, 2023

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:34.938801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7df7ff0d-675b-4e54-b1aa-652f6d4eeaef · outbound

This paper cites Understanding controls to detect and mitigate malicious privileged user abuse.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Understanding controls to detect and mitigate malicious privileged user abuse

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:34.723368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eae0d8ba-6a41-42f1-a4fd-ff7b1300b629 · outbound

This paper cites Common sense guide to mitigating insider threats, seventh edition.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Common sense guide to mitigating insider threats, seventh edition

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:34.559904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 44aa2100-b20f-46c7-bdea-703733e50953 · outbound

This paper cites Deep learning for insider threat detection: Review, challenges and opportunities.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Deep learning for insider threat detection: Review, challenges and opportunities

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:34.438008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45bf1935-3d1b-41b4-b5ef-d810df7f7672 · outbound

This paper cites An analysis of motive and observable behavioral indicators associated with insider cyber-sabotage and other attacks.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection An analysis of motive and observable behavioral indicators associated with insider cyber-sabotage and other attacks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:34.326566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e5c94182-f857-41ef-ada5-a2e742d73c62 · outbound

This paper cites Bridging the gap: A pragmatic approach to generating insider threat data.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Bridging the gap: A pragmatic approach to generating insider threat data

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:34.221124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4f25c68d-da9d-45e3-add5-eac6cd0afbe5 · outbound

This paper cites Attention is all you need.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Attention is all you need

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:28.435861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bb63e9d-ddf0-49f4-bfbe-9d50dd770cd5 · outbound

This paper cites Mohan, and Ambairam Muthu Sivakrishna.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Mohan, and Ambairam Muthu Sivakrishna

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:34.037008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aea17037-5ab0-4aa9-90e8-05c085339cfb · outbound

This paper cites Relational deep learning detection with multi-sequence representation for insider threats.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Relational deep learning detection with multi-sequence representation for insider threats

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:33.860306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9a89b1f2-b6ae-4abf-8de5-4f4c27e3156d · outbound

This paper cites Salman, Mariam M.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Salman, Mariam M

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:33.685017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a0409217-2c75-42ee-b59c-69a0b9ee2b9f · outbound

This paper cites A graph empowered insider threat detection framework based on daily activities.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection A graph empowered insider threat detection framework based on daily activities

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:33.469053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 03d05e8c-6dbb-47d7-bd61-5a5a6c7ce3b8 · outbound

This paper cites Hunting for insider threats using lstm-based anomaly detection.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Hunting for insider threats using lstm-based anomaly detection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:33.240061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bccc1de9-e114-455f-a6da-8c63cd705271 · outbound

This paper cites Temporal feature aggregation with attention for insider threat detection from activity logs.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Temporal feature aggregation with attention for insider threat detection from activity logs

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:32.983184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0766932a-0ade-49f4-be82-db7d460d0654 · outbound

This paper cites Deep transfer learning & beyond: Transformer language models in information systems research.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Deep transfer learning & beyond: Transformer language models in information systems research

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:32.745696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8dcb11c2-274a-460d-ab5e-2003e21da978 · outbound

This paper cites Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) network.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) network

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:32.556515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a96c195-b695-4ef1-bac9-3ee9ac1d81b4 · outbound

This paper cites Word embedding attention and balanced cross entropy technique for sentiment analysis.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Word embedding attention and balanced cross entropy technique for sentiment analysis

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:32.404086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 771ed414-c3e3-4167-9e5f-ff673ffe2364 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Pytorch: An imperative style, high-performance deep learning library

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:29.366757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cf06237-8754-49bc-92ea-574d7d8f34bc · outbound

This paper cites Insider threat test dataset, 2020.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Insider threat test dataset, 2020

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:32.249328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ad4f8af-f6dd-485a-9eca-0b2aff9c1fe6 · outbound

This paper cites Dtitd: An intelligent insider threat detection framework based on digital twin and self-attention based deep learning models.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Dtitd: An intelligent insider threat detection framework based on digital twin and self-attention based deep learning models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:32.100736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f337c563-2587-4d09-9343-205db376d2f9 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Generating Long Sequences with Sparse Transformers

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:29.594832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20b9cf1b-d2d7-479d-b775-17ee57c4b2a8 · outbound

This paper cites Anovit: Unsupervised anomaly detection and localization with vision transformer-based encoder-decoder.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Anovit: Unsupervised anomaly detection and localization with vision transformer-based encoder-decoder

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:31.976504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dd784abf-b5da-43c2-a366-43c92e67eeb8 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Adam: A Method for Stochastic Optimization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:29.698475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9f510c9-c128-4081-bc76-5564962355c3 · outbound

This paper cites The cartesian product algorithm: Simple and precise type inference of parametric polymorphism.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection The cartesian product algorithm: Simple and precise type inference of parametric polymorphism

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:31.813163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a0f42ee6-cd52-481f-b5a8-7eff35f22c21 · outbound

This paper cites Hyperspectral anomaly detection via memory-augmented autoencoders.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Hyperspectral anomaly detection via memory-augmented autoencoders

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:31.657597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d2c3a43f-903e-40ba-86fc-8bbd8c0ce6a6 · outbound

This paper cites Adaptive one-class ensemble-based anomaly detection: An application to insider threats.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Adaptive one-class ensemble-based anomaly detection: An application to insider threats

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:31.554388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9f4e3802-6afb-4ead-b95c-2282592b2118 · outbound

This paper cites A Meta-Analysis of the Anomaly Detection Problem.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection A Meta-Analysis of the Anomaly Detection Problem

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:29.956607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36b2dec8-2080-4b38-85c9-615daf401006 · outbound

This paper cites Machine learning and anomaly detection for insider threat detection.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Machine learning and anomaly detection for insider threat detection

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:31.456415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a05e106-bd4c-41d0-ab45-3238b30c2ddf · outbound

This paper cites Translog: A unified transformer-based framework for log anomaly detection.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Translog: A unified transformer-based framework for log anomaly detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:31.346642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e5e8c042-df6c-47b7-b9d8-cf6f8999af4d · outbound

This paper cites Insider threat prediction based on unsupervised anomaly detection scheme for proactive forensic investigation.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Insider threat prediction based on unsupervised anomaly detection scheme for proactive forensic investigation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:31.274697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f03371ba-fe89-48b0-bd03-da2c501a958c · outbound

This paper cites Anju and M.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Anju and M

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:31.177533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 71f59a37-eb38-472d-a6ba-f9d1459365d9 · outbound

This paper cites LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:48:30.639202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c27adf7f-53ed-419d-9d17-52cfea1ce020 · outbound

This paper cites Itdbert: Temporal-semantic representa- tion for insider threat detection.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Itdbert: Temporal-semantic representa- tion for insider threat detection

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:31.087389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 599f41fe-4ac5-4a7e-8861-60442c714fc2 · outbound

This paper cites Behavioral based insider threat detection using deep learning.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Behavioral based insider threat detection using deep learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:31.020663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7f623f12-1b1d-488f-8cc4-86ac16910383 · outbound

This paper cites Britd: behavior rhythm insider threat detection with time awareness and user adaptation.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Britd: behavior rhythm insider threat detection with time awareness and user adaptation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:30.892053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a4221187-e776-4533-bed7-01a61ce5a403 · outbound

This paper cites Zainal Abidin, and S.N.

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection Zainal Abidin, and S.N

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:30.813968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.