Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:36:16.435848Z
Paper Citation Record · LEDGER
LogLLM: Log-based Anomaly Detection Using Large Language Models
As of 18 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 17 inbound Pith citation observations for arXiv:2411.08561.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:02:32.379206Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T00:25:48.473703Z
Reference resolution
57 of 57 outbound references displayed
- verified exact0
- verified fuzzy25
- unresolved32
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1906cacc-01eb-4b68-9de8-a85f80d2707d · outbound
This paper cites Reliable and highly available distributed publish/subscribe service,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Reliable and highly available distributed publish/subscribe service,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:17.431553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fce40620-c0b9-42be-a3b0-3d8491def0a2 · outbound
This paper cites Bauer and R.
LogLLM: Log-based Anomaly Detection Using Large Language Models Bauer and R
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:17.415733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 21ab95d3-6ba4-44fd-8347-d9cd5daf0903 · outbound
This paper cites Log-based anomaly detection without log pars- ing,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Log-based anomaly detection without log pars- ing,
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.152660Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84816865-77bb-49ec-aa33-672a6c7b6348 · outbound
This paper cites Survey and benchmark of anomaly detection in business processes,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Survey and benchmark of anomaly detection in business processes,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:17.387296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8429bb9b-095f-409a-bdf2-7caa1e727651 · outbound
This paper cites End-to-end automl for unsupervised log anomaly detection,.
LogLLM: Log-based Anomaly Detection Using Large Language Models End-to-end automl for unsupervised log anomaly detection,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:17.369877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a3a5db33-f959-41be-b9a6-bc700f995e9e · outbound
This paper cites Log-based anomaly detection with deep learning: How far are we?.
LogLLM: Log-based Anomaly Detection Using Large Language Models Log-based anomaly detection with deep learning: How far are we?
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.167944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65170eaf-d410-420b-9712-9c502a469268 · outbound
This paper cites Loggpt: Exploring chatgpt for log-based anomaly detection,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Loggpt: Exploring chatgpt for log-based anomaly detection,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:17.340807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 82a38478-9648-4ce9-ab50-88558759c3f3 · outbound
This paper cites Deeplog: Anomaly detection and diagnosis from system logs through deep learning,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Deeplog: Anomaly detection and diagnosis from system logs through deep learning,
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.178079Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9944d210-1a80-4841-a05f-3bbb145035a0 · outbound
This paper cites Loganomaly: Unsupervised detection of sequential and quantitative anomalies in unstructured logs.
LogLLM: Log-based Anomaly Detection Using Large Language Models Loganomaly: Unsupervised detection of sequential and quantitative anomalies in unstructured logs
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.182878Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e7d60cd-bf22-4529-933c-c4d666239e4a · outbound
This paper cites Logattn: Unsupervised log anomaly detection with an autoencoder based attention mechanism,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Logattn: Unsupervised log anomaly detection with an autoencoder based attention mechanism,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:17.302558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a4ad0346-b831-4855-b98e-34feb2f63f5d · outbound
This paper cites Autolog: Anomaly detection by deep autoencoding of system logs,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Autolog: Anomaly detection by deep autoencoding of system logs,
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.192850Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5ab20fd-b70c-4589-95a7-fb5520d27b5c · outbound
This paper cites Log anomaly detection by adversarial autoencoders with graph feature fusion,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Log anomaly detection by adversarial autoencoders with graph feature fusion,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:17.274505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3c2e102e-f450-4682-9624-67ab95c7f247 · outbound
This paper cites Anomaly detection model for log based on lstm network and variational autoencoder,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Anomaly detection model for log based on lstm network and variational autoencoder,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:17.254267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3ec74782-c5d6-43c8-9611-b875a82a70f9 · outbound
This paper cites A generative adversarial networks for log anomaly detection.
LogLLM: Log-based Anomaly Detection Using Large Language Models A generative adversarial networks for log anomaly detection
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:17.237206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation dd4052a5-76e6-4bd4-8423-51ec34b28cab · outbound
This paper cites Graph-based log anomaly detection via adversarial training,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Graph-based log anomaly detection via adversarial training,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:17.220158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ea61d7a5-6204-4b09-a55e-6631be86efbd · outbound
This paper cites Layerlog: Log sequence anomaly detection based on hierarchical se- mantics,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Layerlog: Log sequence anomaly detection based on hierarchical se- mantics,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:17.201150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 43cd7879-9c54-45de-aea9-c2e968cf58ac · outbound
This paper cites Onelog: towards end-to-end software log anomaly detection,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Onelog: towards end-to-end software log anomaly detection,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:17.184483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3d51ef80-45fa-4684-90f1-a6046ef871b2 · outbound
This paper cites Detecting anomaly in big data system logs using convolutional neural network,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Detecting anomaly in big data system logs using convolutional neural network,
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.226465Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d575aef3-64cc-4234-aad8-31e14405ae70 · outbound
This paper cites Robust log-based anomaly detection on unstable log data,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Robust log-based anomaly detection on unstable log data,
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.231789Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58b82181-0332-455b-8bb0-1ef7c5816485 · outbound
This paper cites Loggd: Detecting anomalies from system logs with graph neural networks,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Loggd: Detecting anomalies from system logs with graph neural networks,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:17.144129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6a5066ef-c028-4c90-8900-1f783f36f04d · outbound
This paper cites Trine: Syslog anomaly detection with three transformer encoders in one gen- erative adversarial network,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Trine: Syslog anomaly detection with three transformer encoders in one gen- erative adversarial network,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:17.127547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 59710824-7904-429b-9877-bf076aa82715 · outbound
This paper cites Semi-supervised log-based anomaly detection via probabilistic label estimation,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Semi-supervised log-based anomaly detection via probabilistic label estimation,
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.245952Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 241b0a54-cfb0-49fa-a5a2-780da3a2555f · outbound
This paper cites Long short-term memory,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Long short-term memory,
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.250669Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation edd0236a-793a-4fea-8ec0-8a62e7e6c4d5 · outbound
This paper cites Attention is all you need,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Attention is all you need,
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.255673Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50922d66-56e9-429d-834a-8461fabab99f · outbound
This paper cites GPT-4 Technical Report.
LogLLM: Log-based Anomaly Detection Using Large Language Models GPT-4 Technical Report
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.260691Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fef0ea03-22fd-4f9a-b73d-d3b2da4c0b67 · outbound
This paper cites The Llama 3 Herd of Models.
LogLLM: Log-based Anomaly Detection Using Large Language Models The Llama 3 Herd of Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.265845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74a3a2e0-f1fd-473e-befa-a89cd51655cb · outbound
This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.
LogLLM: Log-based Anomaly Detection Using Large Language Models ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.271019Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fe603d1-4b61-45fc-82e3-5d3e1d720893 · outbound
This paper cites Dabl: Detecting semantic anomalies in business processes using large language models,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Dabl: Detecting semantic anomalies in business processes using large language models,
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.276717Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b7eec1f-4b00-44f9-bdd2-f74abaf28a60 · outbound
This paper cites Logprompt: Prompt engineering towards zero-shot and interpretable log analysis,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Logprompt: Prompt engineering towards zero-shot and interpretable log analysis,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:17.079824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 29c98ea8-16c9-46bf-90bb-6a693ebb20fa · outbound
This paper cites Early exploration of using chatgpt for log-based anomaly detection on parallel file systems logs,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Early exploration of using chatgpt for log-based anomaly detection on parallel file systems logs,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:17.063601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ddbb05b3-2a99-4e2a-9023-4c25f3033bf1 · outbound
This paper cites Raglog: Log anomaly detection using retrieval augmented generation,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Raglog: Log anomaly detection using retrieval augmented generation,
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.293329Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d0488e7-5426-4173-9be9-23c47b4fa5ab · outbound
This paper cites Logbert: Log anomaly detection via bert,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Logbert: Log anomaly detection via bert,
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.298801Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1322a10-15f1-4d9f-afb8-5aa3c4b579de · outbound
This paper cites Lanobert: System log anomaly detection based on bert masked language model,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Lanobert: System log anomaly detection based on bert masked language model,
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.304662Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bf9e72b-9177-496c-96d7-e6b50f047660 · outbound
This paper cites FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly Generation and Discrimination.
LogLLM: Log-based Anomaly Detection Using Large Language Models FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly Generation and Discrimination
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.310187Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4f484c2-f5cf-4377-9d89-081c8dc37af5 · outbound
This paper cites Logfit: Log anomaly detection using fine-tuned language models,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Logfit: Log anomaly detection using fine-tuned language models,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:17.014552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 575c179d-4759-4e21-bf3c-b3be864fac2e · outbound
This paper cites Bert-log: Anomaly detection for system logs based on pre-trained language model,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Bert-log: Anomaly detection for system logs based on pre-trained language model,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:16.996268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e4d30355-5a59-498d-b125-cf76f07ce656 · outbound
This paper cites Sarlog: Semantic-aware robust log anomaly detection via bert-augmented contrastive learning,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Sarlog: Semantic-aware robust log anomaly detection via bert-augmented contrastive learning,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:16.979940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d07baeff-26f9-4652-a019-439cbcf46f44 · outbound
This paper cites Mlog: Mogrifier lstm-based log anomaly detection approach using semantic representation,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Mlog: Mogrifier lstm-based log anomaly detection approach using semantic representation,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:16.962970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8e9f9c73-344c-4f4f-bf3f-efbcaabbf025 · outbound
This paper cites Training-free retrieval-based log anomaly detection with pre-trained language model considering token- level information,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Training-free retrieval-based log anomaly detection with pre-trained language model considering token- level information,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:16.946756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7aff9141-9378-44e6-aa4d-5479096b9257 · outbound
This paper cites Anomaly detection on unstable logs with gpt models,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Anomaly detection on unstable logs with gpt models,
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.347343Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3eb37d5e-53c3-4b21-b5c8-a2edc908e8b8 · outbound
This paper cites The working limitations of large language models,.
LogLLM: Log-based Anomaly Detection Using Large Language Models The working limitations of large language models,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:16.929461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e0c5a638-3a6a-4a10-9f2b-fca0ef547026 · outbound
This paper cites FastText.zip: Compressing text classification models.
LogLLM: Log-based Anomaly Detection Using Large Language Models FastText.zip: Compressing text classification models
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.359277Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3a96c6c-e169-487c-88bc-e32ac4932692 · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
LogLLM: Log-based Anomaly Detection Using Large Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.364650Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a36eeea5-3716-4fd2-8fd4-e84a74b4884b · outbound
This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.
LogLLM: Log-based Anomaly Detection Using Large Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.370212Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71ca8ab0-cecf-49ef-87d0-65203f58d3a6 · outbound
This paper cites Spanbert: Improving pre-training by representing and predicting spans,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Spanbert: Improving pre-training by representing and predicting spans,
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.375226Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f1c3359-209e-493c-90b4-d6980c0ce3df · outbound
This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Retrieval- augmented generation for knowledge-intensive nlp tasks,
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.381027Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebfccc63-ce33-4230-b3a3-bee3ae13526c · outbound
This paper cites Tools and benchmarks for automated log parsing,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Tools and benchmarks for automated log parsing,
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.385808Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9dd92cd-7121-49a6-8aa1-0e72ccabd364 · outbound
This paper cites An evaluation study on log parsing and its use in log mining,.
LogLLM: Log-based Anomaly Detection Using Large Language Models An evaluation study on log parsing and its use in log mining,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:16.880441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3b71a1b8-348e-414f-98d6-8b8c30d5c15c · outbound
This paper cites Online system problem detection by mining patterns of console logs,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Online system problem detection by mining patterns of console logs,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:16.865498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d8ce40d8-6ae7-4b8b-ba80-9dfe33115898 · outbound
This paper cites What supercomputers say: A study of five system logs,.
LogLLM: Log-based Anomaly Detection Using Large Language Models What supercomputers say: A study of five system logs,
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.402319Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b1e1ee4-0e06-4a77-ada5-f23dbd016046 · outbound
This paper cites Drain: An online log parsing approach with fixed depth tree,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Drain: An online log parsing approach with fixed depth tree,
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.407448Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ec26f87-59a4-44e4-bb04-80a0509ae93e · outbound
This paper cites Spell: Streaming parsing of system event logs,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Spell: Streaming parsing of system event logs,
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.412385Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5222914-d608-4666-b6ce-3a57e270ab28 · outbound
This paper cites Log parsing with prompt-based few-shot learning,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Log parsing with prompt-based few-shot learning,
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.416983Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04d85f5c-eb87-42a7-a088-ac29cd6fe6fc · outbound
This paper cites Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:16.808096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 16c99b29-750e-4750-91c1-21c5e18e06c1 · outbound
This paper cites Qlora: Efficient finetuning of quantized llms,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Qlora: Efficient finetuning of quantized llms,
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.426533Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0987110-5221-49ae-a1c7-b5547453e128 · outbound
This paper cites Decoupled Weight Decay Regularization.
LogLLM: Log-based Anomaly Detection Using Large Language Models Decoupled Weight Decay Regularization
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.431352Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23ca0e37-6c31-4022-b3be-765127da4088 · outbound
This paper cites Loghub: A large collection of system log datasets for ai-driven log analytics,.
LogLLM: Log-based Anomaly Detection Using Large Language Models Loghub: A large collection of system log datasets for ai-driven log analytics,
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:16.435848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 10b627c5-fa0e-47fc-8d2b-7106bd9b0558 · inbound
GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model cites this paper.
GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model LogLLM: Log-based Anomaly Detection Using Large Language Models
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:02:32.379206Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3cbfd683-b20e-4fe3-9865-c3d859638272 · inbound
Domain Specific Benchmarks for Evaluating Multimodal Large Language Models cites this paper.
Domain Specific Benchmarks for Evaluating Multimodal Large Language Models LogLLM: Log-based Anomaly Detection Using Large Language Models
Reference 95
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:39:41.989841Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5d7c846-c7c1-4131-b5fe-95ae2bfb1f15 · inbound
FALCON: Transforming Cyber Threat Intelligence into Deployable IDS Rules with Self-Reflection cites this paper.
FALCON: Transforming Cyber Threat Intelligence into Deployable IDS Rules with Self-Reflection LogLLM: Log-based Anomaly Detection Using Large Language Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:24:28.106221Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c480e19-5b23-4ad0-a176-732140d559f5 · inbound
ALPHA: LLM-Enabled Active Learning for Human-Free Network Anomaly Detection cites this paper.
ALPHA: LLM-Enabled Active Learning for Human-Free Network Anomaly Detection LogLLM: Log-based Anomaly Detection Using Large Language Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T04:50:26.837549Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3c88ef6-6fc9-47cb-a52b-f30d6a3bc07a · inbound
Large Language Models for Security Operations Centers: A Comprehensive Survey cites this paper.
Large Language Models for Security Operations Centers: A Comprehensive Survey LogLLM: Log-based Anomaly Detection Using Large Language Models
Reference 206
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:32:21.420862Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb1f94d9-b4c2-4167-b158-cdb9519724e6 · inbound
Retrieval-Augmented LLMs for Security Incident Analysis cites this paper.
Retrieval-Augmented LLMs for Security Incident Analysis LogLLM: Log-based Anomaly Detection Using Large Language Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T08:30:17.490572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e51176b4-6787-4264-93cf-75db55047614 · inbound
LLM4Log: A Systematic Review of Large Language Model-based Log Analysis cites this paper.
LLM4Log: A Systematic Review of Large Language Model-based Log Analysis LogLLM: Log-based Anomaly Detection Using Large Language Models
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T08:25:19.049211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cc0df02b-6b9e-4c27-b44d-1789ef56757d · inbound
LLM4Log: A Systematic Review of Large Language Model-based Log Analysis cites this paper.
LLM4Log: A Systematic Review of Large Language Model-based Log Analysis LogLLM: Log-based Anomaly Detection Using Large Language Models
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T10:04:06.513284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 048a017e-8611-4269-829a-efb668c82919 · inbound
DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs cites this paper.
DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs LogLLM: Log-based Anomaly Detection Using Large Language Models
Reference 96
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T02:53:29.839155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7b6317dc-e5ca-4e5f-a0d1-4d26973fc14e · inbound
AI-Driven Security Alert Screening and Alert Fatigue Mitigation in Security Operations Centers: A Comprehensive Survey cites this paper.
AI-Driven Security Alert Screening and Alert Fatigue Mitigation in Security Operations Centers: A Comprehensive Survey LogLLM: Log-based Anomaly Detection Using Large Language Models
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:51:14.670834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7a7e8b3f-2427-44b7-9652-53c93d81752d · inbound
NLLog: Lightweight, Explainable SOC Anomaly Detection via Log-to-Language Rewriting cites this paper.
NLLog: Lightweight, Explainable SOC Anomaly Detection via Log-to-Language Rewriting LogLLM: Log-based Anomaly Detection Using Large Language Models
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T09:16:49.225966Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cc5e743e-a755-4a2f-a43b-b9bcb226f25b · inbound
ZERO-APT: A Closed-Loop Adversarial Framework for LLM-Driven Automated Penetration Testing under Intelligent Defense cites this paper.
ZERO-APT: A Closed-Loop Adversarial Framework for LLM-Driven Automated Penetration Testing under Intelligent Defense LogLLM: Log-based Anomaly Detection Using Large Language Models
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T13:16:58.778116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation aad85461-94a0-4033-8021-4514386393ef · inbound
Sample-Efficient LLM-Based Detection of Malicious Web Server Logs with Forensically Explainable Reasoning cites this paper.
Sample-Efficient LLM-Based Detection of Malicious Web Server Logs with Forensically Explainable Reasoning LogLLM: Log-based Anomaly Detection Using Large Language Models
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:47:27.312144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a34021dc-7659-4eda-af46-ceb78dc240cb · inbound
Benchmarking and Exploring the Capabilities of LLMs for Attack Investigations cites this paper.
Benchmarking and Exploring the Capabilities of LLMs for Attack Investigations LogLLM: Log-based Anomaly Detection Using Large Language Models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T05:27:40.508976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b6014c6a-5694-4586-ba90-6e182bc89a58 · inbound
Holmes: Multimodal Agentic Diagnosis for Mixed-Language Mobile Crashes at Industrial Scale cites this paper.
Holmes: Multimodal Agentic Diagnosis for Mixed-Language Mobile Crashes at Industrial Scale LogLLM: Log-based Anomaly Detection Using Large Language Models
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T08:19:43.665062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c409e306-d5fe-41f1-87f0-b9558a7a44c3 · inbound
LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection cites this paper.
LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection LogLLM: Log-based Anomaly Detection Using Large Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T01:17:36.542815Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3db5f66a-88fd-4b06-93af-71687302bf8a · inbound
Can Large Language Models Generate Observability-Aware Code? cites this paper.
Can Large Language Models Generate Observability-Aware Code? LogLLM: Log-based Anomaly Detection Using Large Language Models
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T00:25:48.474902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.