Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding | Paper Citation Record

Observation bee66e43-cbd5-438f-84a2-5dc9637c90e6 · outbound

This paper cites Anomaly detection: A survey.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Anomaly detection: A survey

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This paper cites An introduction to outlier analysis.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding An introduction to outlier analysis

Reference 2

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This paper cites A unifying review of deep and shallow anomaly detection.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding A unifying review of deep and shallow anomaly detection

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Machine learning for medical diagnosis: history, state of the art and perspective

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Artificial neural networks in medical diagnosis, 2013

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Deep learning and medical diagnosis: A review of literature

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Improving the accuracy of medical diagnosis with causal machine learning

Reference 7

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Network intrusion detection

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Intrusion detection by machine learning: A review

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Intrusion detection system: A comprehensive review

Reference 10

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Survey of intrusion detection systems: techniques, datasets and challenges

Reference 11

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Statistical fraud detection: A review

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Fraud detection system: A survey

Reference 13

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This paper cites Financial fraud detection using graph neural networks: A systematic review.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Financial fraud detection using graph neural networks: A systematic review

Reference 14

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Model-based fault-detection and diagnosis--status and applications

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Autoencoder based high-dimensional data fault detection system

Reference 16

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Unresolved cited work

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Webb, Shirui Pan, Charu Aggarwal, and Mahsa Salehi

Reference 18

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Deep learning for medical anomaly detection – a survey

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Unresolved cited work

Reference 20

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Distributional structure

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This paper cites A statistical interpretation of term specificity and its application in retrieval.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding A statistical interpretation of term specificity and its application in retrieval

Reference 22

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This paper cites An information-theoretic perspective of tf--idf measures.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding An information-theoretic perspective of tf--idf measures

Reference 23

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This paper cites Latent dirichlet allocation.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Latent dirichlet allocation

Reference 24

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Latent semantic analysis

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Efficient Estimation of Word Representations in Vector Space

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding G lo V e: Global vectors for word representation

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Bag of Tricks for Efficient Text Classification

Reference 28

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Deep contextualized word representations

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 30

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Improving language understanding by generative pre-training

Reference 31

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding A Comprehensive Overview of Large Language Models

Reference 32

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding A review of current trends, techniques, and challenges in large language models (llms)

Reference 33

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Support vector method for novelty detection

Reference 34

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Lof: identifying density-based local outliers

Reference 35

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Isolation forest

Reference 36

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Deep one-class classification

Reference 37

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Dense projection for anomaly detection

Reference 38

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Self-attentive, multi-context one-class classification for unsupervised anomaly detection on text

Reference 39

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding DATE: Detecting Anomalies in Text via Self-Supervision of Transformers

Reference 40

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Nlp-adbench: Nlp anomaly detection benchmark

Reference 41

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection

Reference 42

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Image anomaly detection with generative adversarial networks

Reference 43

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Neural transformation learning for deep anomaly detection beyond images

Reference 44

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Unsupervised anomaly detection using inverse generative adversarial networks

Reference 45

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Auto UAD : Hyper-parameter optimization for unsupervised anomaly detection

Reference 46

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

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Deep learning for anomaly detection: A review

Reference 47

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Ecod: Unsupervised outlier detection using empirical cumulative distribution functions

Reference 48

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Efficient algorithms for mining outliers from large data sets

Reference 49

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Unsupervised anomaly detection with generative adversarial networks to guide marker discovery

Reference 50

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This paper cites Deep autoencoding gaussian mixture model for unsupervised anomaly detection.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Deep autoencoding gaussian mixture model for unsupervised anomaly detection

Reference 51

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Deep anomaly detection with deviation networks

Reference 52

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Ocgan: One-class novelty detection using gans with constrained latent representations

Reference 53

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This paper cites Drocc: Deep robust one-class classification.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Drocc: Deep robust one-class classification

Reference 54

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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Perturbation learning based anomaly detection

Reference 55

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This paper cites Deep isolation forest for anomaly detection.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Deep isolation forest for anomaly detection

Reference 56

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This paper cites Drl: Decomposed representation learning for tabular anomaly detection.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Drl: Decomposed representation learning for tabular anomaly detection

Reference 57

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c722076d-317e-4b4a-a315-631903ec735e · outbound

This paper cites Reducing the dimensionality of data with neural networks.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Reducing the dimensionality of data with neural networks

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:21.751401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c127b977-aeb0-475a-a1e5-9b1f2a5216d2 · outbound

This paper cites Deep Anomaly Detection with Outlier Exposure.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Deep Anomaly Detection with Outlier Exposure

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:21.831990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbbeb125-7e27-4231-8d27-13385c87c381 · outbound

This paper cites Learning representations of ultrahigh-dimensional data for random distance-based outlier detection.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Learning representations of ultrahigh-dimensional data for random distance-based outlier detection

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:31.739162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6f6d89a7-e57e-4eb6-9e55-db158f532ffa · outbound

This paper cites Ganomaly: Semi-supervised anomaly detection via adversarial training.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Ganomaly: Semi-supervised anomaly detection via adversarial training

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:31.443857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6cb9ef40-a5df-4cc4-8a6c-3ee6bd993a24 · outbound

This paper cites o rnitz, Alexander Binder, Emmanuel M \.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding o rnitz, Alexander Binder, Emmanuel M \

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:31.140686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 65cf0d39-8950-4e69-b0e0-c0b6052b9e38 · outbound

This paper cites Feature encoding with autoencoders for weakly supervised anomaly detection.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Feature encoding with autoencoders for weakly supervised anomaly detection

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:30.853997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 87091ac7-dc56-421f-be37-1e07c916a9d4 · outbound

This paper cites Deep weakly-supervised anomaly detection.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Deep weakly-supervised anomaly detection

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:30.617005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eb722897-96a7-4143-a722-1f088dae88dd · outbound

This paper cites Semi-supervised anomaly detection using restricted distribution transformation.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Semi-supervised anomaly detection using restricted distribution transformation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:30.479329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b9a2e57e-b453-4eb2-9daa-c32221662e23 · outbound

This paper cites Glove: Global vectors for word representation.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Glove: Global vectors for word representation

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:30.328865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 072daf9d-0453-4238-8a1d-ed2dca17001a · outbound

This paper cites Attention is all you need.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Attention is all you need

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:23.130136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ddc536b-abda-4163-aca8-cebacc2a6345 · outbound

This paper cites Improving Text Embeddings with Large Language Models.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Improving Text Embeddings with Large Language Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:23.297801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e22b1de-5a12-42b0-a751-1a61a256b7b8 · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:23.414675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fd5c3ec-8f7d-4a7a-9167-9393c392606a · outbound

This paper cites Comparative analysis of anomaly detection algorithms in text data.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Comparative analysis of anomaly detection algorithms in text data

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:30.159274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 18f2c768-b188-4055-946f-5512f28158f6 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:23.679060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69c04240-4244-4f4e-a402-af5347647984 · outbound

This paper cites Few-shot anomaly detection in text with deviation learning.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Few-shot anomaly detection in text with deviation learning

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:30.008429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 29b0d92e-6ea5-4689-9c3c-90d62d8c4628 · outbound

This paper cites A Robust Autoencoder Ensemble-Based Approach for Anomaly Detection in Text.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding A Robust Autoencoder Ensemble-Based Approach for Anomaly Detection in Text

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:57:26.693506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0186ca0b-c2df-4d7a-93bd-be7928d396e6 · outbound

This paper cites Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:23.907963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 447a0081-33dd-4baf-849e-d7a896b3e386 · outbound

This paper cites Ad-llm: Benchmarking large language models for anomaly detection.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Ad-llm: Benchmarking large language models for anomaly detection

Reference 75

Resolution: verified exact; raw_fallback, observed 2026-08-06T16:57:26.369531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f70c1cff-4e9d-4726-a6c3-49081102c407 · outbound

This paper cites Can LLMs Serve As Time Series Anomaly Detectors?.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Can LLMs Serve As Time Series Anomaly Detectors?

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:24.085163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e3e45c4-27d4-4189-aef7-252750d721e2 · outbound

This paper cites Anomalygpt: Detecting industrial anomalies using large vision-language models.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Anomalygpt: Detecting industrial anomalies using large vision-language models

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:29.827221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a0dcc87c-c7e5-46c8-9ee3-88d9667c5433 · outbound

This paper cites Anomaly Detection of Tabular Data Using LLMs.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Anomaly Detection of Tabular Data Using LLMs

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:24.321899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 731865f0-6b5b-4b97-9478-50fa676c7f8c · outbound

This paper cites Ad-nlp: A benchmark for anomaly detection in natural language processing.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Ad-nlp: A benchmark for anomaly detection in natural language processing

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:29.621402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8b3d3d81-0fa2-43f9-8fb3-bbb68a6627d1 · outbound

This paper cites Newsweeder: Learning to filter netnews.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Newsweeder: Learning to filter netnews

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:29.437355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 469a60d3-e35b-4a42-b251-36933e7e8f27 · outbound

This paper cites an unresolved cited work.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:57:29.251551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 74177a8e-ffc9-46aa-bed2-c83d7739b2ea · outbound

This paper cites Maas, Raymond E.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Maas, Raymond E

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:24.669612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3184ec35-1bf2-4bb5-815a-ad461f72a877 · outbound

This paper cites Manning, Andrew Ng, and Christopher Potts.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Manning, Andrew Ng, and Christopher Potts

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:29.102640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5eb27f62-2716-430e-a84a-b2b62f4c802e · outbound

This paper cites Almeida, Jose Maria Gomez Hidalgo, and Akebo Yamakami.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Almeida, Jose Maria Gomez Hidalgo, and Akebo Yamakami

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:28.941396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8fdc43e6-9863-4a9b-bc71-ae7ef462955d · outbound

This paper cites Hdltex: Hierarchical deep learning for text classification.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Hdltex: Hierarchical deep learning for text classification

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:28.791200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f18e0057-b6cd-4869-982b-8deb73124e01 · outbound

This paper cites Character-level convolutional networks for text classification.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Character-level convolutional networks for text classification

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:28.595283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 95c3369c-7de2-4957-9e2c-f5d33464ff02 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:25.145708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aae8112e-d471-4a8c-a706-f6b0b505af65 · outbound

This paper cites Mistral 7B.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Mistral 7B

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:25.208073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f8e0e06-713c-46dd-bec1-80e28450f615 · outbound

This paper cites Llama 3 model card.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Llama 3 model card

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:25.357535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 591a0c10-c997-4524-96bb-10b2868ee2d3 · outbound

This paper cites LLM2V ec: Large language models are secretly powerful text encoders.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding LLM2V ec: Large language models are secretly powerful text encoders

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:28.393704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8413c772-9025-4200-98f1-ea6a9b1fff47 · outbound

This paper cites A novel anomaly detection scheme based on principal component classifier.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding A novel anomaly detection scheme based on principal component classifier

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:28.198157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b3508c65-9964-4bd6-ad62-a71627e96b83 · outbound

This paper cites Robust kernel density estimation.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Robust kernel density estimation

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:25.586682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d7ea464-b37c-4c49-93a7-4a1e5d4956ed · outbound

This paper cites ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:25.665889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c5099e0-fc26-43b5-b8c3-a6a5ef18213e · outbound

This paper cites Exact matrix completion via convex optimization.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Exact matrix completion via convex optimization

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:27.995585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e3f7fa5d-77e5-4a86-8f9f-65abd02682db · outbound

This paper cites Factor group-sparse regularization for efficient low-rank matrix recovery.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Factor group-sparse regularization for efficient low-rank matrix recovery

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:27.802000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d497b753-e3fb-4b4e-93f1-60e32f4a1690 · outbound

This paper cites Low-rank matrix completion [lecture notes].

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Low-rank matrix completion [lecture notes]

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:27.649464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers