Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:21:09.392635Z
Paper Citation Record · LEDGER
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach
As of 16 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:1908.09238.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
23 of 23 outbound references displayed
- verified exact4
- verified fuzzy7
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1e3d971b-c1f0-42d5-b133-8baf39719712 · outbound
This paper cites A heavy-duty industrial combustor typically operates under high temperature and high flow rate conditions that introduce significant thermodynamic stress to combustor components.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach A heavy-duty industrial combustor typically operates under high temperature and high flow rate conditions that introduce significant thermodynamic stress to combustor components
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:21:09.738440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 40ecdc6a-8452-4237-bbd9-ab9c9dd2082e · outbound
This paper cites feature engineering is another topic which doesn’t seem to merit any review papers or books, or even chapters in books.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach feature engineering is another topic which doesn’t seem to merit any review papers or books, or even chapters in books
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:21:09.727456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 78f51f82-fd84-4e28-b0ca-53e16a9dfd5b · outbound
This paper cites an unresolved cited work.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:21:09.714362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cd771cb6-fa7c-418a-90da-6ead82346913 · outbound
This paper cites an unresolved cited work.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:21:09.702434Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fdf363c7-7d99-4d3b-ad36-887b15faad36 · outbound
This paper cites Data description Our database has several years of data sampled at once-per-minute.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach Data description Our database has several years of data sampled at once-per-minute
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:21:09.692251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 65f37410-3720-4132-838e-fe440fefc95d · outbound
This paper cites Traditional rule-based anomaly detection solutions are inadequate in achieving the desired detection performance.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach Traditional rule-based anomaly detection solutions are inadequate in achieving the desired detection performance
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:21:09.681729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3da00562-dedb-425e-8b91-92a8674f7a0d · outbound
This paper cites and Kamowski, T.P.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach and Kamowski, T.P
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:21:09.670116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 735df1a0-b317-456e-919f-1912fc516f66 · outbound
This paper cites an unresolved cited work.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:21:09.613624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6a006559-b9a7-412f-92ad-4679601a9dec · outbound
This paper cites an unresolved cited work.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:21:09.590438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7aa30ca6-1863-42ce-bdc4-11e716ee6808 · outbound
This paper cites 1150–1157.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach 1150–1157
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:21:09.568356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 514cd5c6-c796-4fc3-93cc-6266f3871c9d · outbound
This paper cites and Yang, V.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach and Yang, V
Reference 21
- Resolution
- verified exact
- doi, observed 2026-08-14T11:21:09.436963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7bec7ec0-8b84-44e8-a5d3-07147e4a35da · outbound
This paper cites and Iyer, N.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach and Iyer, N
Reference 23
- Resolution
- verified exact
- doi, observed 2026-08-14T11:21:09.426183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a871cf1b-495b-49f2-b60c-5b62d33a1ad6 · outbound
This paper cites an unresolved cited work.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:21:09.579151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 31ecf510-c42c-4e42-82c9-a9f692cc286f · outbound
This paper cites an unresolved cited work.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach Unresolved cited work
Reference 78
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-14T11:21:09.526407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2655fbae-0c0a-45fa-be18-eb4cca9daf02 · outbound
This paper cites an unresolved cited work.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach Unresolved cited work
Reference 529
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:21:09.623833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 80d52fc3-1801-423b-af65-86ea1a79fd6d · outbound
This paper cites an unresolved cited work.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach Unresolved cited work
Reference 1980
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:21:09.634654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 709d7916-7b34-4445-92a3-f1684e83fcb5 · outbound
This paper cites J., & Koehler, A.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach J., & Koehler, A
Reference 2006
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:21:09.361438Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5dc096bc-0fea-4978-86d6-40f5ce31e0b7 · outbound
This paper cites an unresolved cited work.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach Unresolved cited work
Reference 2007
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:21:09.602443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8e36e833-cc7a-45c0-8543-2a74dd9a92df · outbound
This paper cites Nonlinear Analysis of Electronic Prognostics.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach Nonlinear Analysis of Electronic Prognostics
Reference 2009
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:21:09.658522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation eeeb1b3e-9fdf-418b-aa0f-6715f694cf00 · outbound
This paper cites an unresolved cited work.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach Unresolved cited work
Reference 2011
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:21:09.646456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4889004f-ab86-4cf1-ae6b-3a702d29e211 · outbound
This paper cites and Mukhopadhyay, A.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach and Mukhopadhyay, A
Reference 2013
- Resolution
- verified exact
- doi, observed 2026-08-14T11:21:09.454351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fea53fcf-590a-4ae9-ba41-712d4ac3eed2 · outbound
This paper cites Graph-based Anomaly Detection and Description: A Survey.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach Graph-based Anomaly Detection and Description: A Survey
Reference 2014
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T11:21:09.544543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 027b26e1-a394-40a2-9f8a-55c226c06d92 · outbound
This paper cites an unresolved cited work.
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach Unresolved cited work
Reference 3408
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:21:09.557283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.