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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 96 of 96 outbound references and 1 inbound Pith citation observation for arXiv:2507.12295.

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

pith.paper-citation-record.v1
2507.12295 v1

Coverage vector

measured 96 of 96 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:57:25.957440Z

measured 97 of 97 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T22:26:43.532286Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-29T22:34:02.129146Z

Reference resolution

96 of 96 outbound references displayed

  • verified exact4
  • verified fuzzy46
  • unresolved46
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

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

Reference 1

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unresolved
no resolver link, observed 2026-08-06T16:57:16.969318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:16.969318Z digest=sha256:a37399889ce3933652f07503ce40d98242593e5080472a766e9f108305ac2173

Observation d12aa845-0f7c-4b78-a409-05f6377c330e · outbound

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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unresolved
no resolver link, observed 2026-08-06T16:57:17.036832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:17.036832Z digest=sha256:6115d5ee29e13ffff4566f41bf25b7624f79b1fac2b1038ac5b0c32984c49872

Observation 3af559d5-d8a2-4bc8-bfc4-9e3dcff8fecb · outbound

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

Reference 3

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no resolver link, observed 2026-08-06T16:57:17.125967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:17.125967Z digest=sha256:0bae659007cae21c2d27a72553eb9e688fba6837afa2b09bf5f11b2339d0c260

Observation 2f5ea2ec-8441-49fc-b50e-9ef696b9165e · outbound

This paper cites Machine learning for medical diagnosis: history, state of the art and perspective.

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

Reference 4

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no resolver link, observed 2026-08-06T16:57:17.170423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:17.170423Z digest=sha256:5afe590b83c8001b467ac321410df9ae84f8c7b2b5383af90ae0c238e6c6f0b1

Observation 4e91c01c-6cf2-485f-aa23-83efff9573f6 · outbound

This paper cites Artificial neural networks in medical diagnosis, 2013.

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

Reference 5

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no resolver link, observed 2026-08-06T16:57:17.234564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:17.234564Z digest=sha256:626f03ccf00ad5eddf60e9b6e993156c2028adcaa4dadcd316899cdd7891e4de

Observation eeb46806-e384-4c0c-b33d-5bd3819b7eb1 · outbound

This paper cites Deep learning and medical diagnosis: A review of literature.

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

Reference 6

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unresolved
no resolver link, observed 2026-08-06T16:57:17.299379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:17.299379Z digest=sha256:7eba20d5710ed9a6a9283beb20237d560696b542a16c1c3ca2b47a4cf61bf9bc

Observation fa3fdbe4-6130-4d78-bcbb-b60699912232 · outbound

This paper cites Improving the accuracy of medical diagnosis with causal machine learning.

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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no resolver link, observed 2026-08-06T16:57:17.363070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:17.363070Z digest=sha256:4ce07d4e48bceae64112eaad1a1404433526ac38ed898669f7440ab82b91b416

Observation 1c3b24bc-9d4f-49bd-977e-c6315502badf · outbound

This paper cites Network intrusion detection.

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

Reference 8

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no resolver link, observed 2026-08-06T16:57:17.437506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:17.437506Z digest=sha256:f45fe2fcac3fd837e31e735a4ebb835d585e9bb4bb34162309f92160b129f486

Observation e9f1e6b6-cfe2-4330-b37c-ff3e14aca509 · outbound

This paper cites Intrusion detection by machine learning: A review.

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

Reference 9

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no resolver link, observed 2026-08-06T16:57:17.502269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:17.502269Z digest=sha256:3c204ee8618649e647565c5fbdaddae3037108c021573039bcb12eee2e780c30

Observation 487a43de-7024-484d-ac8b-e2e3ab12bdf0 · outbound

This paper cites Intrusion detection system: A comprehensive review.

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

Reference 10

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no resolver link, observed 2026-08-06T16:57:17.567359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:17.567359Z digest=sha256:73b37f619058025ece1a12263e9c029fefddcdcf001a5b4d8bb45fccfe0af7b9

Observation dff1ff7b-1812-4698-af72-a74f1432ba89 · outbound

This paper cites Survey of intrusion detection systems: techniques, datasets and challenges.

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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no resolver link, observed 2026-08-06T16:57:17.639013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:17.639013Z digest=sha256:b7ea3e9fe6dbca7c53318785ad66bb42c63c8ea535a796e4a8582bac9f296190

Observation e174f242-6de2-4fc2-80c5-373bd8c8264c · outbound

This paper cites Statistical fraud detection: A review.

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

Reference 12

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no resolver link, observed 2026-08-06T16:57:17.727095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:17.727095Z digest=sha256:08553c54aa4e73f49ba790e69c65aaf236f5151678e3ed9eba6b62ccc10ca5b9

Observation 819f4a71-cc29-40c9-9637-9469794fa461 · outbound

This paper cites Fraud detection system: A survey.

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

Reference 13

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no resolver link, observed 2026-08-06T16:57:17.831247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:17.831247Z digest=sha256:53b793520581f8b033563bf490cf907ea00d9cec0e0bbd6cc04adf9068cd3248

Observation d719606a-da2a-4694-aeae-effdfd03e907 · outbound

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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unresolved
no resolver link, observed 2026-08-06T16:57:17.916459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:17.916459Z digest=sha256:7e675ec8250cf7bf1b89a95d786ef19939af721a93242a0b806f047d068bcd00

Observation 41656906-f6b7-45dc-a221-20fb67045032 · outbound

This paper cites Model-based fault-detection and diagnosis--status and applications.

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

Reference 15

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no resolver link, observed 2026-08-06T16:57:18.002110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:18.002110Z digest=sha256:0d525b744092859e0e7a60740b73e8640077f489c4ee13c2c2dca4ef26352ae2

Observation bb0cf7cc-98ff-42d7-a547-d99880897d0f · outbound

This paper cites Autoencoder based high-dimensional data fault detection system.

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

Reference 16

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no resolver link, observed 2026-08-06T16:57:18.075177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:18.075177Z digest=sha256:75e14d255031956dd927e9e69167dd0ed185a890f9315752c42a3d12dbfcde8c

Observation 69e34532-1472-4852-acde-331f45283e35 · outbound

This paper cites an unresolved cited work.

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

Reference 17

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unresolved
no resolver link, observed 2026-08-06T16:57:18.140902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:18.140902Z digest=sha256:c81b8e226a0b3cc7aa6bc417ad2285dda36456d2c4cbddde7959044d6fa2ce1f

Observation c698b06a-8da9-44cb-877a-ba6de1d2a3a5 · outbound

This paper cites Webb, Shirui Pan, Charu Aggarwal, and Mahsa Salehi.

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

Reference 18

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no resolver link, observed 2026-08-06T16:57:18.211592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:18.211592Z digest=sha256:5ef077f0cd09303481f613b933cc72b7f07ac087ed1810f63d9eb3d1a24e0cee

Observation fc625daa-744c-4159-9bba-40bf1f8fee57 · outbound

This paper cites Deep learning for medical anomaly detection – a survey.

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

Reference 19

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unresolved
no resolver link, observed 2026-08-06T16:57:18.277023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:18.277023Z digest=sha256:0c1ffd6da993d7b80b970d863883e717420dfb369b7161ac2cb6a7694323dff7

Observation 04a91ffa-71ed-4874-aed6-1f534dbae4cd · outbound

This paper cites an unresolved cited work.

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

Reference 20

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no resolver link, observed 2026-08-06T16:57:18.339309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:18.339309Z digest=sha256:c9dcf7223ea853a2afb79d272cf4d1a9796c351202aab9de713f67c8db9057fe

Observation 58ee280c-0cab-4063-a903-02e4060b8279 · outbound

This paper cites Distributional structure.

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

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:57:36.944290Z

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.

source=arxiv_source observed=2026-08-06T16:57:18.421505Z digest=sha256:d0265aadb2085c2245de278c70869155725cc5b7b6a1f75338aec85ef951b29a

Observation 6833f333-3d20-482f-a95a-2ff566a99e81 · outbound

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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unresolved
no resolver link, observed 2026-08-06T16:57:18.503869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:18.503869Z digest=sha256:a8c655be2371eef387a94baf8cec0d499e86a039c914d5f5da97c3b01f7f3b10

Observation e3f402bc-0a39-4611-991f-02e9483b1a09 · outbound

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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verified fuzzy
raw_fallback, observed 2026-08-06T16:57:36.920345Z

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.

source=arxiv_source observed=2026-08-06T16:57:18.606632Z digest=sha256:934b37a36385dc3ee757967f73dfcc5431e6ccc1e64673f293581c73703ae478

Observation d5683505-9d20-4a93-abd7-68f92613f5fa · outbound

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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no resolver link, observed 2026-08-06T16:57:18.706823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:18.706823Z digest=sha256:797be9e1f01b23e8149707473e4409608bd12361aecdd55ba81c063c8bf30934

Observation 819abcb8-ac40-4861-b8b7-b8c1bbfcdfc9 · outbound

This paper cites Latent semantic analysis.

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

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-06T16:57:36.896448Z

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.

source=arxiv_source observed=2026-08-06T16:57:18.802878Z digest=sha256:0b55035e1c9698ede876be780fde75b2b4d2fa4e598e598c748b28cf701f7147

Observation 58340556-bd15-42f7-ae12-d98a398e99cb · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

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

Reference 26

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no resolver link, observed 2026-08-06T16:57:18.907314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:18.907314Z digest=sha256:fbcdfb9a976190cdfecaa6fc34c336f3f39207f6383db21806eaf9010bdae13a

Observation 35c09ed5-d58a-4395-9cb0-b228656fb16a · outbound

This paper cites G lo V e: Global vectors for word representation.

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

Reference 27

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unresolved
no resolver link, observed 2026-08-06T16:57:19.000136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:19.000136Z digest=sha256:2c0b2ab08f20ae79e76cbb8e7c66748e1afd6d81100e9891d6fbd6142f366438

Observation 1c9c9e96-4f38-4044-998c-95881e6f80cd · outbound

This paper cites Bag of Tricks for Efficient Text Classification.

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

Reference 28

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no resolver link, observed 2026-08-06T16:57:19.098558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:19.098558Z digest=sha256:467f5163e1bc645b7e7bdeb35ac7cabce69128c813d5133c5e04143fa729a9a1

Observation 5a39fa22-dc2c-4bcf-adcb-93f29765dc04 · outbound

This paper cites Deep contextualized word representations.

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

Reference 29

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no resolver link, observed 2026-08-06T16:57:19.174994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:19.174994Z digest=sha256:3bff36d9e2d6aea47832916b9ec1f20911d9a74cb27478f1be21a1dcf3b0dec0

Observation 5f8f34a5-14a9-40ec-b136-b58e1f97d350 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

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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no resolver link, observed 2026-08-06T16:57:19.250449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:19.250449Z digest=sha256:9a4d5ff60700cb6beb23c19a4436d466a82c7511ba3ae597185b33a5d35f1360

Observation 5ae9fca4-cb62-4cb2-b074-8f40042b5637 · outbound

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

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

Reference 31

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no resolver link, observed 2026-08-06T16:57:19.329982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:19.329982Z digest=sha256:5cdd2277433d08fc092c1543f801cacf0a94aa119586e4d5e043f8e81e0e56ea

Observation 703f796c-ab8e-406d-890d-c542e454e1b9 · outbound

This paper cites A Comprehensive Overview of Large Language Models.

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

Reference 32

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unresolved
no resolver link, observed 2026-08-06T16:57:19.433144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:19.433144Z digest=sha256:4e216b6883c73ad7769dd69013e8384b87a1a40b867acd35807965e0b3e53403

Observation 6c608625-9c8a-41f3-9271-98ced7e3a9ba · outbound

This paper cites A review of current trends, techniques, and challenges in large language models (llms).

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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verified fuzzy
raw_fallback, observed 2026-08-06T16:57:36.863005Z

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.

source=arxiv_source observed=2026-08-06T16:57:19.533402Z digest=sha256:8fe8563c5de5687b724b31198ca96c8258c5af6367ebfe5943e77cce9ccb2dc3

Observation 0ca84021-129e-4b24-933b-cbe795de078a · outbound

This paper cites Support vector method for novelty detection.

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

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:57:36.671326Z

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.

source=arxiv_source observed=2026-08-06T16:57:19.610535Z digest=sha256:91b9a9bb41afe6255def53cc64f08dffd52532dd2255a08687dc3eb8e511cb6f

Observation 994dd3b4-2c1a-4d2b-8c0d-152a89aae42a · outbound

This paper cites Lof: identifying density-based local outliers.

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

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-06T16:57:36.288431Z

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.

source=arxiv_source observed=2026-08-06T16:57:19.708073Z digest=sha256:e3714fb93715bd9de3f1beb6fc4414b67a3650a85ca7bb0ec33caea0280196af

Observation bf3c4380-b24f-4220-852e-1e2a909c2a6f · outbound

This paper cites Isolation forest.

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

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:57:35.893080Z

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.

source=arxiv_source observed=2026-08-06T16:57:19.797567Z digest=sha256:e9b7e223fb0a1cbcb782ece28bd9b6ad7ca6496337aae5fa9e74ad797194dbd6

Observation 4e59b255-f20c-4b33-9945-f49cb75186b0 · outbound

This paper cites Deep one-class classification.

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

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-06T16:57:35.671444Z

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.

source=arxiv_source observed=2026-08-06T16:57:19.900676Z digest=sha256:b605c289cc13c52cc0ccc0b721cf4f25958284270fbbc26905da17515cd9ca0d

Observation 821497b9-7daf-4894-930e-cdb592e032cb · outbound

This paper cites Dense projection for anomaly detection.

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

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:57:35.566975Z

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.

source=arxiv_source observed=2026-08-06T16:57:19.978353Z digest=sha256:138843b764823588c15310e6510668c68f4d2359b26bef96fdcd0055050ea741

Observation b022fbab-b989-4f5e-945d-49598750fa5e · outbound

This paper cites Self-attentive, multi-context one-class classification for unsupervised anomaly detection on text.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:57:35.471124Z

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.

source=arxiv_source observed=2026-08-06T16:57:20.071337Z digest=sha256:2573b74c5d973fb6e1452e57dbd0a9b5ac379dfa55aefe3699c60729648f3b31

Observation 2376f9d2-74a7-47e2-912e-ecf1caca9900 · outbound

This paper cites DATE: Detecting Anomalies in Text via Self-Supervision of Transformers.

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

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:57:27.317962Z

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.

source=arxiv_source observed=2026-08-06T16:57:20.181445Z digest=sha256:724210502ee80ebddee4fe3c923a090fa21730c5aaf5aa7bea6c3d444469992c

Observation f06ec890-2099-46a4-a35c-8d8dcefc01b4 · outbound

This paper cites Nlp-adbench: Nlp anomaly detection benchmark.

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

Reference 41

Resolution
verified exact
raw_fallback, observed 2026-08-06T16:57:27.053546Z

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.

source=arxiv_source observed=2026-08-06T16:57:20.270957Z digest=sha256:38ed44dd8d842b8d82c26dbe23355d9bbcd09815bca54cf89e8bc7ce5ab2d657

Observation 62999b7d-60c7-407a-960c-e0dabdd58650 · outbound

This paper cites TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection.

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

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T16:57:20.364459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:20.364459Z digest=sha256:be31b25b19787cbbdaa1d1a3456dbcf03e1f3aae7cf070478824540e0fb3fd45

Observation c0370ce4-2a37-488f-9a42-6912afd1c600 · outbound

This paper cites Image anomaly detection with generative adversarial networks.

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

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:57:35.356188Z

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.

source=arxiv_source observed=2026-08-06T16:57:20.439227Z digest=sha256:37363b4f07c74d29c1d8e6a7d447b2b8d78c79a92444f6a20140995c3803fcbe

Observation a5da1619-e946-4a80-859c-5b9367dbda5f · outbound

This paper cites Neural transformation learning for deep anomaly detection beyond images.

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

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:57:35.234376Z

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.

source=arxiv_source observed=2026-08-06T16:57:20.513335Z digest=sha256:c59eb7aeec419df8775e4537ee7855ba114ad9e5eaa2f263d46d81fe9886f7b1

Observation 4f30a482-a344-4486-bbc7-9738df59a312 · outbound

This paper cites Unsupervised anomaly detection using inverse generative adversarial networks.

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

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:57:35.095451Z

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.

source=arxiv_source observed=2026-08-06T16:57:20.607398Z digest=sha256:ddd51d9a087561bab5afa757e2f168a726d1c33f80d663d3fb682a08ce8572b9

Observation 90da4b69-4368-4f6e-8ec2-89a2d7e72fc3 · outbound

This paper cites Auto UAD : Hyper-parameter optimization for unsupervised anomaly detection.

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

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:57:34.867975Z

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.

source=arxiv_source observed=2026-08-06T16:57:20.705937Z digest=sha256:00e0a75cafdfa5b512d09706d9ef06019abbdfb3055c80dfd63241cc6bbd3516

Observation 969650bc-4344-4193-a98b-088e678169ae · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:57:34.665458Z

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.

source=arxiv_source observed=2026-08-06T16:57:20.807832Z digest=sha256:7d6dcc665af47e3bd8591d619c58d7023d9a5e2f84e8a4e4ea855ba89d392807

Observation f8c3bd50-8740-4a9e-bef1-9f0a1f0a7fbb · outbound

This paper cites Ecod: Unsupervised outlier detection using empirical cumulative distribution functions.

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

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:57:34.439347Z

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.

source=arxiv_source observed=2026-08-06T16:57:20.906460Z digest=sha256:d59fba4b32225007605653cf36c3b013c77d65b0d856e409fc49f2d0bd42db48

Observation c61faf1e-6c8a-4a93-a2c6-fe5ae9897cac · outbound

This paper cites Efficient algorithms for mining outliers from large data sets.

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

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:57:34.162419Z

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.

source=arxiv_source observed=2026-08-06T16:57:21.005551Z digest=sha256:e33ef9ed624dd786166a8003087ad07ffca747a5f9ad3ad09cda64428498370d

Observation 114dc11e-31f5-4254-b97a-68dcf34018da · outbound

This paper cites Unsupervised anomaly detection with generative adversarial networks to guide marker discovery.

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

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:57:33.968746Z

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.

source=arxiv_source observed=2026-08-06T16:57:21.106586Z digest=sha256:3ff306695732b012df208d2ad4418087056722247b479d28bf6bd1ae8c507f76

Observation 77693667-6d02-409d-bcd3-cc47a024d05f · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:57:33.709226Z

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.

source=arxiv_source observed=2026-08-06T16:57:21.207125Z digest=sha256:6c85613074b2ca13419d225eb15bc4f22419a4b15ef82151e1e36490f917cfdd

Observation 40fc8e70-7c23-4470-9d49-b0a6378b035f · outbound

This paper cites Deep anomaly detection with deviation networks.

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

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:57:33.454214Z

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.

source=arxiv_source observed=2026-08-06T16:57:21.276660Z digest=sha256:4c6280d4f49ff81f81e60f3df8959235be5d24f6d7a0d7dcca4bcca68e88acfb

Observation d67a77b5-087b-4f63-88e1-ad16038e6e81 · outbound

This paper cites Ocgan: One-class novelty detection using gans with constrained latent representations.

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

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:57:33.136541Z

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.

source=arxiv_source observed=2026-08-06T16:57:21.375411Z digest=sha256:779b0309c5fcb5ec0166028bb3abd7903ec3a08d7e80e0c8e3e40a9226d42a46

Observation 1d801653-c247-400f-be84-eb8da298d3a1 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:57:32.854985Z

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.

source=arxiv_source observed=2026-08-06T16:57:21.456539Z digest=sha256:b9f42e695a6e018d2532b4684fb1ef9a5cfd3fc1d4b743f5aa5145f0db189dfe

Observation db7e5971-e298-4f75-b026-1bef45bb83f4 · outbound

This paper cites Perturbation learning based anomaly detection.

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

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:57:32.611269Z

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.

source=arxiv_source observed=2026-08-06T16:57:21.544026Z digest=sha256:15abf2129cbb856ed574c4db174c2701b3e8fa3910d1ae94e91902ed1fe65fdb

Observation 59acdfa8-c2ac-42e4-b89c-bfc282bac461 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:57:32.307462Z

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.

source=arxiv_source observed=2026-08-06T16:57:21.643097Z digest=sha256:c99557133b7912290ae809cd3a3c9ea9acaaf0c3996e0be14a8e54cc9206e94e

Observation 78dbb1eb-2554-4aea-92ce-834882f34997 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:57:31.999797Z

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.

source=arxiv_source observed=2026-08-06T16:57:21.734904Z digest=sha256:1e4ff7e9eb30230cedb8a86b3b51293c1329f7c2fd145bf9b182955034508882

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.

source=arxiv_source observed=2026-08-06T16:57:21.751401Z digest=sha256:4731fdad01114bdcfd6acd04fe71b663ed2372cc2bc7fd0a0094cc831d5850ff

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.

source=arxiv_source observed=2026-08-06T16:57:21.831990Z digest=sha256:1d1e9114f85ff11e6f9a73365a6e3737a85eca2b5e17ab2df798adf47b80d696

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:21.994176Z digest=sha256:53a0fe4405b045cff4a8bd26a2a39db735183a51e14fe409d78d7e7afe51e3ff

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:22.170548Z digest=sha256:14bc6a3dc946cc51e53a7a4ba4100830444f1416d5845db2875b8394267244d8

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:22.376986Z digest=sha256:506311a1ec19d4352f95ddc1ca41e79f3bf5755d6cddc89f15bfc81e0da57d6f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:22.493620Z digest=sha256:a1226a0fffdc3c97eb1bf283cfbe0e23b25ab29365a222f60e1bf7925f93870b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:22.650225Z digest=sha256:cfa87a2339c3a5d8d416754a521c3b74c23a898a569350fd9349e5c52fd8cbb9

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:22.791656Z digest=sha256:0cc34f336e8b79d43b3096f1543eba60167d00407a954ecd6ae7acf6edea7710

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:23.017964Z digest=sha256:c567c2b5532063cadd8fbe1457e5d72ad1a9c1e94411b49a1092fdc520fcd44d

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.

source=arxiv_source observed=2026-08-06T16:57:23.130136Z digest=sha256:348d0499f49c3c054468b2251e204dcdc843f61674aacf261dc5a2c48d721452

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.

source=arxiv_source observed=2026-08-06T16:57:23.297801Z digest=sha256:04f334dbf0561a2480740169d3797a81705b4d300c4166312c12d64ff3745958

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.

source=arxiv_source observed=2026-08-06T16:57:23.414675Z digest=sha256:7c69414a3df71fd17484253ee5ff820c210422026d9647c55d499a3dcd096135

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:23.511349Z digest=sha256:126b493bb3b2306596ec5c3e554a58c8d77fa2dbda3fecab237312e3f4fa3f9d

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.

source=arxiv_source observed=2026-08-06T16:57:23.679060Z digest=sha256:a83716791368a86e4206ba750795bd71b75a7e02373e01abe7ab6d06477091dc

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:23.781292Z digest=sha256:0a9584cfa234b7accccfe871d842ab99ebd217432a5ee592a7bda0b1f94e58b1

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:23.850364Z digest=sha256:34f308fece6885bdfda928fc3a412750cbb6c509e66ee8369e04ed1fd115a774

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.

source=arxiv_source observed=2026-08-06T16:57:23.907963Z digest=sha256:ef4d5f300d7acf5f9a3cb8556631b281de0f773bb4c9efca445d2adcb46a9c66

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:23.977489Z digest=sha256:c4b0b96b19d861bcf62834ff788705a4cf5e33a857aecab2d81106285221055c

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:24.085163Z digest=sha256:957283e920c1d803a00d7530e7a4201e2ce0d0213fe1a06c84bff54e34bd3136

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:24.197014Z digest=sha256:6eeccc76561e07bb42a073e236daad0d0f7f58d583869680fed69300eaf7e3de

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:24.321899Z digest=sha256:67a61ae808f5158932d5c7d610aa0a1118b3aec3f16909dfc268ffd69843873c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:24.397138Z digest=sha256:dbde81b7245dd65af13b6190f03fbc39d93d9cc1d88d231f95f9d1e7163da1e9

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:24.482676Z digest=sha256:176a5031d62ca50ec9feb485d496a43a96e00aa486bb41243fb078e32f071385

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:24.577795Z digest=sha256:b63b6c0c8c80f5fdc4b0fd013d52cf343d334c05a9e6426b1a77385724997bf2

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:24.669612Z digest=sha256:52ee640fcff9f543ceaf429da9a18241a306ac0a50e8f7e13d6a37f9b63d9bd0

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:24.763992Z digest=sha256:a15f2accaea5cb6caa93c4811d4f325e279a35ed94f52f6b5ba785bbbff4caf9

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:24.874785Z digest=sha256:00d9ea2e019a6473804b396b9791bfd61aa4bea27980139501fa2a89e52789a9

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:24.967946Z digest=sha256:9a6ec3f8f3aa3b7585e520c993ef14b060e952f4912c234649672629304a4d55

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:25.051158Z digest=sha256:853f232b4927c64be9d34c2bd1c4a64ae76c74c20a76d24a6f7f00cb25d52cdc

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.

source=arxiv_source observed=2026-08-06T16:57:25.145708Z digest=sha256:fbf2c97c1fafe02dc15e7d0e35d753b4ea5e4fc9dd6341397272b0afdac88c2b

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.

source=arxiv_source observed=2026-08-06T16:57:25.208073Z digest=sha256:156e33659a40125899be61f4a8841ee501f166e4947079efc16de25ee9444dd3

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.

source=arxiv_source observed=2026-08-06T16:57:25.357535Z digest=sha256:ada981cd45e3e619bbe7b6f4cf6032547f53d2eede41c672395aacbf75f1431a

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:25.437483Z digest=sha256:19fce94cd3f541f5c2a2867a4825073c88bbd3a542b304d2e83df7db6faccbe1

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:25.517718Z digest=sha256:3075aae902558af5b3d7e545733e103b03a655e08ca1e48ea950c1dcd23b1e81

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.

source=arxiv_source observed=2026-08-06T16:57:25.586682Z digest=sha256:ecbe97d944f9063f1dc9ea978c9f24741904a3dd7c213c41115c3f5f52593d7b

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.

source=arxiv_source observed=2026-08-06T16:57:25.665889Z digest=sha256:e5605c0ea4447845b30b2843f1bf0c608e8e2216dc09e5b740bbce19c3a315c5

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:25.732348Z digest=sha256:6d14e5cf52b5a01125dbda1e96b3897d02b7597293c6910416d0ff08b497dc5b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:25.842963Z digest=sha256:f7a8cd7a3d64f07d478f9e17ff0a2a07c2ea3ae1305f0819371acaaacf622a68

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:57:25.957440Z digest=sha256:c4e275002802357b795fd829589d911de78955b5b6792fdf80e0694db45d0c14

Pith citing papers

Observation 0c769014-55d9-4112-9994-3edb8c86e6fe · inbound

Rethinking Weak Supervision in Anomaly Detection: A Comprehensive Benchmark cites this paper.

Rethinking Weak Supervision in Anomaly Detection: A Comprehensive Benchmark Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding

Reference 62

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arxiv_id, observed 2026-06-29T22:34:02.131241Z

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.

source=pdf_text observed=2026-06-29T22:26:43.532286Z digest=sha256:cc84bd3fed101a196533205513c43ea7dd396c1af93fcd5651a910dad957278c