Paper Citation Record · LEDGER

Practitioners' Expectations on Log Anomaly Detection

As of 18 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 1 inbound Pith citation observation for arXiv:2412.01066.

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

pith.paper-citation-record.v1
2412.01066 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:46:07.358662Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:31:15.112673Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T17:31:15.206794Z

Reference resolution

68 of 68 outbound references displayed

verified exact1
verified fuzzy42
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec6a23fc-82a5-4fd7-a791-8bfdfb209b46 · outbound

This paper cites Using evolutionary annotations from change logs to enhance program comprehension,.

Practitioners' Expectations on Log Anomaly Detection Using evolutionary annotations from change logs to enhance program comprehension,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:08.433178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eb8d9959-3f89-451a-8609-4daab3e72996 · outbound

This paper cites On the temporal relations between logging and code,.

Practitioners' Expectations on Log Anomaly Detection On the temporal relations between logging and code,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:08.414112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ddbd7551-f525-4077-89ea-4ceb537b07b7 · outbound

This paper cites Log-based anomaly detection without log parsing,.

Practitioners' Expectations on Log Anomaly Detection Log-based anomaly detection without log parsing,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:08.396633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3540ef2f-4a6a-49ed-8685-17c7150f9083 · outbound

This paper cites Loganomaly: Unsupervised detection of sequential and quantitative anomalies in unstructured logs.

Practitioners' Expectations on Log Anomaly Detection Loganomaly: Unsupervised detection of sequential and quantitative anomalies in unstructured logs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.019947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cce5b710-9155-4db7-9573-a12ec7772563 · outbound

This paper cites Heteroge- neous anomaly detection for software systems via semi-supervised cross- modal attention,.

Practitioners' Expectations on Log Anomaly Detection Heteroge- neous anomaly detection for software systems via semi-supervised cross- modal attention,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:08.366047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e401cf43-ba03-4db1-a705-81f9411526f0 · outbound

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

Practitioners' Expectations on Log Anomaly Detection Deeplog: Anomaly detection and diagnosis from system logs through deep learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:08.349156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d423210f-06ae-48be-a5f2-c63d2f46e2cb · outbound

This paper cites Pathidea: Improving information retrieval-based bug localization by re-constructing execution paths using logs,.

Practitioners' Expectations on Log Anomaly Detection Pathidea: Improving information retrieval-based bug localization by re-constructing execution paths using logs,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:08.331424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 69208ebe-fb3b-4fc0-8226-c1f6ffa7fff2 · outbound

This paper cites Latent error prediction and fault localization for microservice applications by learning from system trace logs,.

Practitioners' Expectations on Log Anomaly Detection Latent error prediction and fault localization for microservice applications by learning from system trace logs,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.041750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e445215-cfe1-4cde-839c-2dc9e842e41d · outbound

This paper cites Deep learning or classical machine learning? an empirical study on log-based anomaly detection,.

Practitioners' Expectations on Log Anomaly Detection Deep learning or classical machine learning? an empirical study on log-based anomaly detection,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.047138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ec6f597-624c-4f8f-9690-be2659a5ca37 · outbound

This paper cites Log-based anomaly detection with deep learning: How far are we?.

Practitioners' Expectations on Log Anomaly Detection Log-based anomaly detection with deep learning: How far are we?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.052608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abbca9b8-47dc-4e17-8f0f-060d90c0a005 · outbound

This paper cites Leavy, Research design: Quantitative, qualitative, mixed methods, arts-based, and community-based participatory research approaches.

Practitioners' Expectations on Log Anomaly Detection Leavy, Research design: Quantitative, qualitative, mixed methods, arts-based, and community-based participatory research approaches

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:08.280834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 001de88a-3ec6-4c12-be09-91f18e4bf040 · outbound

This paper cites Spencer, Card sorting: Designing usable categories.

Practitioners' Expectations on Log Anomaly Detection Spencer, Card sorting: Designing usable categories

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.063021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d8910b5-172e-4337-83ab-ec477cd15134 · outbound

This paper cites Google forms,.

Practitioners' Expectations on Log Anomaly Detection Google forms,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:08.242404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 68f8c7a3-e6ae-46f8-a538-06bd4689a69a · outbound

This paper cites Survey form,.

Practitioners' Expectations on Log Anomaly Detection Survey form,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:08.224314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3dcbf1b1-fa78-44fe-a924-2df3053ddc4b · outbound

This paper cites Wenjuanxing software,.

Practitioners' Expectations on Log Anomaly Detection Wenjuanxing software,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:08.208682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8879ec69-e7f5-4d0c-a83d-bb4f698059ca · outbound

This paper cites A survey of per- formance optimization for mobile applications,.

Practitioners' Expectations on Log Anomaly Detection A survey of per- formance optimization for mobile applications,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:08.193450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0acadce8-c539-43a0-aac2-73c736291f67 · outbound

This paper cites On the use of evaluation measures for defect prediction studies,.

Practitioners' Expectations on Log Anomaly Detection On the use of evaluation measures for defect prediction studies,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:08.177009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cf538b18-25eb-487c-aa6f-54425deeb6e4 · outbound

This paper cites Guidelines for snowballing in systematic literature studies and a replication in software engineering,.

Practitioners' Expectations on Log Anomaly Detection Guidelines for snowballing in systematic literature studies and a replication in software engineering,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.102680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 438d7855-9f77-4d79-a1cf-ca4a6f292480 · outbound

This paper cites Logformer: A pre-train and tuning pipeline for log anomaly detection,.

Practitioners' Expectations on Log Anomaly Detection Logformer: A pre-train and tuning pipeline for log anomaly detection,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.108405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a0c00a2-552d-468b-a73b-67beb358955f · outbound

This paper cites Onelog: towards end-to-end software log anomaly detection,.

Practitioners' Expectations on Log Anomaly Detection Onelog: towards end-to-end software log anomaly detection,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.114093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e7a64c9-ba1f-4b3f-8730-7fc39c4c74ad · outbound

This paper cites LogSD: Detecting Anomalies from System Logs through Self-supervised Learning and Frequency-based Masking.

Practitioners' Expectations on Log Anomaly Detection LogSD: Detecting Anomalies from System Logs through Self-supervised Learning and Frequency-based Masking

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-12T04:46:07.442373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 42c76bb7-1539-4ab3-ba22-29132c2f08db · outbound

This paper cites Metalog: Generalizable cross-system anomaly detection from logs with meta-learning,.

Practitioners' Expectations on Log Anomaly Detection Metalog: Generalizable cross-system anomaly detection from logs with meta-learning,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.124990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 804705fc-8d7a-4042-98d5-4b09ff5e8ae0 · outbound

This paper cites Semi- supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs,.

Practitioners' Expectations on Log Anomaly Detection Semi- supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:08.109644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c1e35dff-576b-42c8-a871-c2bbb4585ae9 · outbound

This paper cites Logonline: A semi-supervised log-based anomaly detector aided with online learning mechanism,.

Practitioners' Expectations on Log Anomaly Detection Logonline: A semi-supervised log-based anomaly detector aided with online learning mechanism,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:08.092477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 84786c5c-aff2-431b-818e-bc860bb3d2cb · outbound

This paper cites Twin graph-based anomaly detection via attentive multi-modal learning for microservice system,.

Practitioners' Expectations on Log Anomaly Detection Twin graph-based anomaly detection via attentive multi-modal learning for microservice system,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:08.075740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4d8f5ef1-2e65-4538-ba27-42af14f90140 · outbound

This paper cites Loader: A log anomaly detector based on transformer,.

Practitioners' Expectations on Log Anomaly Detection Loader: A log anomaly detector based on transformer,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:08.056326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 56cb1180-3171-4400-b5ee-28dea16ba730 · outbound

This paper cites Mlog: Mogrifier lstm-based log anomaly detection approach using semantic representation,.

Practitioners' Expectations on Log Anomaly Detection Mlog: Mogrifier lstm-based log anomaly detection approach using semantic representation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:08.037676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 24bf8559-7b4c-4df7-8c4b-ff4a054fd789 · outbound

This paper cites Autolog: A log sequence synthesis framework for anomaly detection,.

Practitioners' Expectations on Log Anomaly Detection Autolog: A log sequence synthesis framework for anomaly detection,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:08.021383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b63edacd-ef75-4e5a-89df-21c8db8667bb · outbound

This paper cites Deepuserlog: Deep anomaly detection on user log using semantic analysis and key-value data,.

Practitioners' Expectations on Log Anomaly Detection Deepuserlog: Deep anomaly detection on user log using semantic analysis and key-value data,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:08.004888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b2700b69-c1c4-4c7e-95ee-84dbc69b5485 · outbound

This paper cites Logrep: Log-based anomaly detection by representing both semantic and numeric informa- tion in raw messages,.

Practitioners' Expectations on Log Anomaly Detection Logrep: Log-based anomaly detection by representing both semantic and numeric informa- tion in raw messages,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.986852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 77cc0ad8-c261-4f5a-910e-e4a95a702a0f · outbound

This paper cites Sialog: detecting anomalies in software execution logs using the siamese network,.

Practitioners' Expectations on Log Anomaly Detection Sialog: detecting anomalies in software execution logs using the siamese network,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.970409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 28bad069-6c5f-49d0-9dfe-d6a9cc09c8b9 · outbound

This paper cites Deeptralog: Trace-log combined microservice anomaly de- tection through graph-based deep learning,.

Practitioners' Expectations on Log Anomaly Detection Deeptralog: Trace-log combined microservice anomaly de- tection through graph-based deep learning,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.174136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3765072c-7527-419a-80dc-f03dcd87d0e9 · outbound

This paper cites An empirical investigation of practical log anomaly detection for online service systems,.

Practitioners' Expectations on Log Anomaly Detection An empirical investigation of practical log anomaly detection for online service systems,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.178957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e879bb0c-4afb-40f6-a67b-9f9fb23a862b · outbound

This paper cites Semi-supervised log-based anomaly detection via probabilistic label estimation,.

Practitioners' Expectations on Log Anomaly Detection Semi-supervised log-based anomaly detection via probabilistic label estimation,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.184074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d328c9ee-6952-4c07-93cf-173ad5a64fab · outbound

This paper cites Logflash: Real-time streaming anomaly detection and diagnosis from system logs for large-scale software systems,.

Practitioners' Expectations on Log Anomaly Detection Logflash: Real-time streaming anomaly detection and diagnosis from system logs for large-scale software systems,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.919192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 878ced35-ecb9-4207-8b22-59aee55cb720 · outbound

This paper cites Logtransfer: Cross-system log anomaly detection for software systems with transfer learning,.

Practitioners' Expectations on Log Anomaly Detection Logtransfer: Cross-system log anomaly detection for software systems with transfer learning,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.194360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b094f391-379e-4a3c-98c9-e93304ea6098 · outbound

This paper cites Swisslog: Robust and unified deep learning based log anomaly detection for diverse faults,.

Practitioners' Expectations on Log Anomaly Detection Swisslog: Robust and unified deep learning based log anomaly detection for diverse faults,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.198862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d5fa85a-89f3-4955-852d-1972ef092633 · outbound

This paper cites Robust log-based anomaly detection on unstable log data,.

Practitioners' Expectations on Log Anomaly Detection Robust log-based anomaly detection on unstable log data,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.203871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 398dd990-0071-4c96-b215-e900c0baeb7e · outbound

This paper cites Self- attentive classification-based anomaly detection in unstructured logs,.

Practitioners' Expectations on Log Anomaly Detection Self- attentive classification-based anomaly detection in unstructured logs,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.866680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 300e442e-f1fc-404b-a0ee-cef23e479774 · outbound

This paper cites Multi-scale one-class recurrent neural networks for discrete event sequence anomaly detection,.

Practitioners' Expectations on Log Anomaly Detection Multi-scale one-class recurrent neural networks for discrete event sequence anomaly detection,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.214333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e37e111-4167-47d6-8273-5f563bd24a41 · outbound

This paper cites Cat: beyond efficient transformer for content-aware anomaly detection in event sequences,.

Practitioners' Expectations on Log Anomaly Detection Cat: beyond efficient transformer for content-aware anomaly detection in event sequences,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.836755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5f2383c-3b60-416e-9989-806d517e3fff · outbound

This paper cites An approach for anomaly diagnosis based on hybrid graph model with logs for distributed services,.

Practitioners' Expectations on Log Anomaly Detection An approach for anomaly diagnosis based on hybrid graph model with logs for distributed services,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.817609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e3be9a89-a545-4fc0-a33d-af9459ac9e24 · outbound

This paper cites Aclog: An approach to detecting anomalies from system logs with active learning,.

Practitioners' Expectations on Log Anomaly Detection Aclog: An approach to detecting anomalies from system logs with active learning,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.228363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 941ae3be-3f30-48c5-b57d-214f83f95a00 · outbound

This paper cites Improving log-based anomaly detection with component-aware analysis,.

Practitioners' Expectations on Log Anomaly Detection Improving log-based anomaly detection with component-aware analysis,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.789216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 651d5f0c-aa29-4958-a814-0f90b1656fd5 · outbound

This paper cites Maddc: Multi-scale anomaly detection, diagnosis and correction for discrete event logs,.

Practitioners' Expectations on Log Anomaly Detection Maddc: Multi-scale anomaly detection, diagnosis and correction for discrete event logs,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.772848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 76d9d5c4-b1db-44ce-98b4-1218e2b6c964 · outbound

This paper cites Log sequence anomaly detection based on local information extraction and globally sparse transformer model,.

Practitioners' Expectations on Log Anomaly Detection Log sequence anomaly detection based on local information extraction and globally sparse transformer model,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.752178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2cd9c1e4-912a-4d6a-b87d-bc3b2db5f2dd · outbound

This paper cites Logclass: Anomalous log iden- tification and classification with partial labels,.

Practitioners' Expectations on Log Anomaly Detection Logclass: Anomalous log iden- tification and classification with partial labels,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.732266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9e1a4ba0-0110-42c3-ad94-d5bff7275069 · outbound

This paper cites Try with simpler–an evaluation of improved principal component anal- ysis in log-based anomaly detection,.

Practitioners' Expectations on Log Anomaly Detection Try with simpler–an evaluation of improved principal component anal- ysis in log-based anomaly detection,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.715561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7326685c-f5a6-41cd-8742-7acb5a8cec22 · outbound

This paper cites Unsupervised log message anomaly detection,.

Practitioners' Expectations on Log Anomaly Detection Unsupervised log message anomaly detection,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.699793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e39add08-b97f-423c-ae60-4b56c76dbc33 · outbound

This paper cites Automatic abnormal log detection by analyzing log history for providing debugging insight,.

Practitioners' Expectations on Log Anomaly Detection Automatic abnormal log detection by analyzing log history for providing debugging insight,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.685018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 30d0854d-5c90-4544-86ae-89872bb5159d · outbound

This paper cites Detecting large-scale system problems by mining console logs,.

Practitioners' Expectations on Log Anomaly Detection Detecting large-scale system problems by mining console logs,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.670220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 70dcd14b-38ba-4591-bea6-9d5625d690de · outbound

This paper cites What supercomputers say: A study of five system logs,.

Practitioners' Expectations on Log Anomaly Detection What supercomputers say: A study of five system logs,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.276792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e96da08-352b-4b06-8488-6362a47e0f33 · outbound

This paper cites Software testing with large language models: Survey, landscape, and vision,.

Practitioners' Expectations on Log Anomaly Detection Software testing with large language models: Survey, landscape, and vision,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.281447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68d60cd6-1152-4ed0-948d-c7f83b296620 · outbound

This paper cites Evaluating large language models in class-level code generation,.

Practitioners' Expectations on Log Anomaly Detection Evaluating large language models in class-level code generation,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.286451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 916c64de-f655-4626-b3db-134507bf2738 · outbound

This paper cites Large Language Models for Software Engineering: Survey and Open Problems.

Practitioners' Expectations on Log Anomaly Detection Large Language Models for Software Engineering: Survey and Open Problems

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.291543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dae2ee2a-2a49-4cb5-9725-7b705cc1108b · outbound

This paper cites Practitioners' Expectations on Code Completion.

Practitioners' Expectations on Log Anomaly Detection Practitioners' Expectations on Code Completion

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.296841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f0b6af3-4c21-493c-8ba6-78969d3ec13b · outbound

This paper cites A language model for statements of software code,.

Practitioners' Expectations on Log Anomaly Detection A language model for statements of software code,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.302529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af5cf7f6-e045-47fe-a69b-0e9c821296ac · outbound

This paper cites Failure prediction in ibm bluegene/l event logs,.

Practitioners' Expectations on Log Anomaly Detection Failure prediction in ibm bluegene/l event logs,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.614640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3d9c28ca-3b24-4445-b84b-83224d3c7090 · outbound

This paper cites Automated it system failure prediction: A deep learning approach,.

Practitioners' Expectations on Log Anomaly Detection Automated it system failure prediction: A deep learning approach,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.598957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5e879c45-5ece-42d7-bddf-d67147822c4d · outbound

This paper cites Long short-term memory based operation log anomaly detection,.

Practitioners' Expectations on Log Anomaly Detection Long short-term memory based operation log anomaly detection,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.583272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6e806bb9-9155-4b3e-b43c-6f7043572d18 · outbound

This paper cites Detecting anomaly in big data system logs using convolutional neural network,.

Practitioners' Expectations on Log Anomaly Detection Detecting anomaly in big data system logs using convolutional neural network,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.322677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac8d1bf0-7160-4692-859d-6e16e573a187 · outbound

This paper cites Log clustering based problem identification for online service systems,.

Practitioners' Expectations on Log Anomaly Detection Log clustering based problem identification for online service systems,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.327595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7054927-a060-420e-8902-689c9a624a41 · outbound

This paper cites Lanobert: System log anomaly detection based on bert masked language model,.

Practitioners' Expectations on Log Anomaly Detection Lanobert: System log anomaly detection based on bert masked language model,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.546490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6a792a2f-7ec1-49d9-8642-3e17a010e22c · outbound

This paper cites Are they all good? studying practitioners’ expectations on the readability of log messages,.

Practitioners' Expectations on Log Anomaly Detection Are they all good? studying practitioners’ expectations on the readability of log messages,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.528124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation effcbaef-ffa7-43cf-a6c1-d20317391ce6 · outbound

This paper cites An interview study about the use of logs in embedded software engineering,.

Practitioners' Expectations on Log Anomaly Detection An interview study about the use of logs in embedded software engineering,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.511430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bf9ba1a4-aa70-43bc-a163-78bb71d5d74d · outbound

This paper cites How do developers’ profiles and experiences influence their logging practices? an empirical study of industrial practitioners,.

Practitioners' Expectations on Log Anomaly Detection How do developers’ profiles and experiences influence their logging practices? an empirical study of industrial practitioners,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.494270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ab6105c-6086-4491-89cc-38ac06741488 · outbound

This paper cites A survey on automated log analysis for reliability engineering,.

Practitioners' Expectations on Log Anomaly Detection A survey on automated log analysis for reliability engineering,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.476100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5b8a03c4-bcd5-49eb-a964-be9eb3cee6bc · outbound

This paper cites Where do developers log? an empirical study on logging practices in industry,.

Practitioners' Expectations on Log Anomaly Detection Where do developers log? an empirical study on logging practices in industry,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:07.459110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 17258b18-0158-4615-be35-82f6054d9f85 · inbound

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection cites this paper.

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection Practitioners' Expectations on Log Anomaly Detection

Reference 2018

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:31:15.215206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.