Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection | Paper Citation Record

Observation e7be3eed-971e-4bf6-8602-fd77da8eb921 · outbound

This paper cites 2023 ponemon cost of insider threats global report,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection 2023 ponemon cost of insider threats global report,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.648771Z

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 b554d311-cb58-4bab-9881-249f80b665de · outbound

This paper cites 2025 ponemon cost of insider threats global report,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection 2025 ponemon cost of insider threats global report,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.620963Z

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 399dee3d-befc-4388-a13e-140558037a17 · outbound

This paper cites Laaeb: A comprehensive log-text analysis based approach for insider threat detection,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Laaeb: A comprehensive log-text analysis based approach for insider threat detection,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.605079Z

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 8601385c-2bce-411a-9c44-41624f119b32 · outbound

This paper cites Hetglm: Lateral movement detection by dis- covering anomalous links with heterogeneous graph neural network,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Hetglm: Lateral movement detection by dis- covering anomalous links with heterogeneous graph neural network,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.590879Z

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 f97ef42b-f669-4322-8ffc-ba0604fac5fc · outbound

This paper cites Deeplog: Anomaly detection and diagnosis from system logs through deep learning,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Deeplog: Anomaly detection and diagnosis from system logs through deep learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.576061Z

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 bf2916d8-3807-4b0a-9238-35aee06a4392 · outbound

This paper cites Deep learning for un- supervised insider threat detection in structured cybersecurity data streams,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Deep learning for un- supervised insider threat detection in structured cybersecurity data streams,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.560946Z

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 a44f2575-5ea3-4c46-a440-6c74f21f4f3f · outbound

This paper cites A novel model for constructing insider threat behavior features - ubtbert ubtbert: Model for constructing insider threat behavior features user behavior text bert model,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection A novel model for constructing insider threat behavior features - ubtbert ubtbert: Model for constructing insider threat behavior features user behavior text bert model,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.547521Z

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 14d16c0a-3b4c-4eeb-bf91-e6f70f24f3f7 · outbound

This paper cites LAN: learning adaptive neighbors for real-time insider threat detection,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection LAN: learning adaptive neighbors for real-time insider threat detection,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.534391Z

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 97099a73-4e8e-4b41-8faa-80d815d24e4e · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T12:34:44.756174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73720756-d737-4c40-b8fa-f8742db2faad · outbound

This paper cites Ts2vec: Towards universal represen- tation of time series,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Ts2vec: Towards universal represen- tation of time series,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.519694Z

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 0c68c348-712d-48a5-94b5-8e745a20c074 · outbound

This paper cites node2vec: Scalable feature learning for networks,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection node2vec: Scalable feature learning for networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.504702Z

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 dd9a4fe7-fd1e-4004-a26e-81f0f80d6f1d · outbound

This paper cites Uni-moe: Scaling unified multimodal llms with mixture of experts,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Uni-moe: Scaling unified multimodal llms with mixture of experts,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.487844Z

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 dbc8a3b5-ecf5-41dd-91b5-251961612cca · outbound

This paper cites Mixture of experts as representation learner for deep multi-view clustering,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Mixture of experts as representation learner for deep multi-view clustering,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.473128Z

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 0f96e979-4c0d-4f4f-a5aa-3c67c28dbcef · outbound

This paper cites BLIP-2: bootstrapping language-image pre-training with frozen image encoders and large language models,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection BLIP-2: bootstrapping language-image pre-training with frozen image encoders and large language models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.457548Z

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 b416f46d-7bdc-48ac-885e-473124d9fa28 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Learning transferable visual models from natural language supervision,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.442368Z

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 ee3a4d92-ebe2-4aae-ba76-dd9c2cc6fd3e · outbound

This paper cites Clip-it! language- guided video summarization,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Clip-it! language- guided video summarization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.427241Z

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 4d2d2f62-2fef-47d9-b1a2-d9e3e23d87c9 · outbound

This paper cites A new architecture for managing enterprise log data,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection A new architecture for managing enterprise log data,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.411654Z

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 6b744b73-b071-449a-95c3-68faa24f72eb · outbound

This paper cites Insider threat control: Using cen- tralized logging to detect data exfiltration near insider termination,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Insider threat control: Using cen- tralized logging to detect data exfiltration near insider termination,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.395826Z

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 0077dcab-edd7-4566-a263-6a02fee5c435 · outbound

This paper cites HOLMES: real-time APT detection through correlation of suspicious information flows,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection HOLMES: real-time APT detection through correlation of suspicious information flows,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.382044Z

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 e4d60772-7489-4b4d-983e-e4c348a0b2a8 · outbound

This paper cites Available: https://doi.org/10.1184/R1/6574472.v1.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Available: https://doi.org/10.1184/R1/6574472.v1

Reference 20

Resolution: verified exact; doi, observed 2026-08-05T12:34:44.969745Z

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 2acf2b57-c255-4d81-bae2-c6f2c606d778 · outbound

This paper cites Robust anomaly-based insider threat detection using graph neural network,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Robust anomaly-based insider threat detection using graph neural network,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.355295Z

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 8fe32cec-c609-4eec-8c90-8ceb81d7b78c · outbound

This paper cites MITRE ATT&CK&AE; — attack.mitre.org,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection MITRE ATT&CK&AE; — attack.mitre.org,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.368294Z

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 37c9a55e-3ad5-4d81-b9c2-df98705e39b1 · outbound

This paper cites Eigen co-occurrence matrix method for masquerade detection,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Eigen co-occurrence matrix method for masquerade detection,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.329083Z

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 a4269d08-50f6-4e08-8cb0-e9732e285ec4 · outbound

This paper cites Insider threat detection via hierarchical neural temporal point processes,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Insider threat detection via hierarchical neural temporal point processes,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.341797Z

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 34edda5f-78c4-4da3-9bc3-51d025739545 · outbound

This paper cites A survey of multi-view representation learning,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection A survey of multi-view representation learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.302618Z

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 8b837bb8-f874-4687-a9d0-945a0884e431 · outbound

This paper cites Log2vec: A heterogeneous graph embedding based approach for detecting cyber threats within enter- prise,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Log2vec: A heterogeneous graph embedding based approach for detecting cyber threats within enter- prise,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.316908Z

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 58d0e087-e0a3-4d53-ae8d-ce5f9b91127d · outbound

This paper cites Multi-modal auto-encoders as joint estimators for robotics scene understanding,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Multi-modal auto-encoders as joint estimators for robotics scene understanding,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.278638Z

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 5616eff1-89f2-483b-99a1-e4684458e8ef · outbound

This paper cites Multimodal deep learning,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Multimodal deep learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.290415Z

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 7d601b63-23f5-4ee2-8ece-1fc9f023d81a · outbound

This paper cites Convolutional two- stream network fusion for video action recognition,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Convolutional two- stream network fusion for video action recognition,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.251413Z

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 968a697d-de86-413e-b0b2-cff3fa914f83 · outbound

This paper cites Multi-view convolutional neural networks for 3d shape recognition,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Multi-view convolutional neural networks for 3d shape recognition,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.264057Z

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 8de8a106-5103-4f80-aa01-0ddad2f80e65 · outbound

This paper cites Deep visual-semantic alignments for generating image descriptions,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Deep visual-semantic alignments for generating image descriptions,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.225066Z

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 2e606e4f-fbd1-4a06-b534-9cb601cedfb0 · outbound

This paper cites Learning phrase representations using RNN encoder-decoder for statistical machine translation,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Learning phrase representations using RNN encoder-decoder for statistical machine translation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.238989Z

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 097dd09f-8ccd-4c8e-b6a0-70edc49a6535 · outbound

This paper cites Sequence to sequence - video to text,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Sequence to sequence - video to text,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.211316Z

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 7bd1a0ca-50ea-4fcd-8447-c076fe8993ad · outbound

This paper cites Learning a Recurrent Visual Representation for Image Caption Generation.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Learning a Recurrent Visual Representation for Image Caption Generation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T12:34:44.865193Z

Source-reported events for the cited work

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Observation b4b0cb48-d65e-47b6-9f49-3b4994935820 · outbound

This paper cites ITDBERT: temporal-semantic representation for insider threat detection,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection ITDBERT: temporal-semantic representation for insider threat detection,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.187512Z

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 e77e08f3-e48f-471e-9ccc-c037ec573493 · outbound

This paper cites TweetNLP: Cutting- edge natural language processing for social media,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection TweetNLP: Cutting- edge natural language processing for social media,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.199645Z

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 0e2ca93a-6c8e-44d9-bebf-d0b42f32b6df · outbound

This paper cites Lora: Low-rank adaptation of large language models,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Lora: Low-rank adaptation of large language models,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.162549Z

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 8ac9fe94-699e-48e6-8513-f03d37b91b21 · outbound

This paper cites Theory and application of the information bottleneck method,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Theory and application of the information bottleneck method,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.175322Z

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 a2ae9af2-6784-467e-a9aa-82faefad4e77 · outbound

This paper cites Contextual feature representation for image-based insider threat classification,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Contextual feature representation for image-based insider threat classification,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.135544Z

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 e5f7a17b-626b-4988-be72-45e5c85d8e25 · outbound

This paper cites Confront insider threat: Precise anomaly detection in behavior logs based on LLM fine-tuning,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Confront insider threat: Precise anomaly detection in behavior logs based on LLM fine-tuning,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.147916Z

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 e3709380-c700-400d-9bd7-7b2e3825985a · outbound

This paper cites Tweet- eval: Unified benchmark and comparative evaluation for tweet classi- fication,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Tweet- eval: Unified benchmark and comparative evaluation for tweet classi- fication,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.122278Z

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 624b4dc2-41d7-4610-bae7-ca2be6b3e810 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T12:34:44.897638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d11dadbe-736c-470f-9919-322238ecc591 · outbound

This paper cites A high accuracy and adaptive anomaly detection model with dual-domain graph convolutional network for insider threat detection,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection A high accuracy and adaptive anomaly detection model with dual-domain graph convolutional network for insider threat detection,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.095326Z

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 5b82590a-8bd3-476a-b740-ca0c03e6837b · outbound

This paper cites Analyzing data granularity levels for insider threat detection using machine learning,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Analyzing data granularity levels for insider threat detection using machine learning,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.108195Z

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 924210bc-0c81-4f4f-be6d-26a113cd38e1 · outbound

This paper cites Audit-LLM: Multi-Agent Collaboration for Log-based Insider Threat Detection.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Audit-LLM: Multi-Agent Collaboration for Log-based Insider Threat Detection

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T12:34:44.921197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 823f6e48-9f0f-485d-a560-042cdc5d84a5 · outbound

This paper cites Few-shot insider threat detection,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Few-shot insider threat detection,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.082375Z

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 72576846-5277-418e-9dd2-79630361ff14 · outbound

This paper cites Openllama: An open reproduction of llama,.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Openllama: An open reproduction of llama,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.056192Z

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 f54c026e-8a6e-4b6f-b82e-92c82c01c76f · outbound

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

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Bridging the gap: A pragmatic approach to generating insider threat data,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.069558Z

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 d5121b03-795a-4a66-ae27-2df3ac0155ae · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection LLaMA: Open and Efficient Foundation Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T12:34:44.934979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7d519e6-2315-4d83-a358-7698f243be92 · outbound

This paper cites Available: https://ponemonsullivanreport.com/2023/ 10/cost-of-insider-risks-global-report-2023/.

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection Available: https://ponemonsullivanreport.com/2023/ 10/cost-of-insider-risks-global-report-2023/

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:34:45.634703Z

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.

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