An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems | Paper Citation Record

Observation a9e5dc41-84c5-4bb2-8285-797f82bc7e0b · outbound

This paper cites Extracting spatial–temporal coherent patterns in large-scale neural recordings using dynamic mode decomposition,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Extracting spatial–temporal coherent patterns in large-scale neural recordings using dynamic mode decomposition,

Reference 1

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Observation bf445dbb-623d-4581-a86d-dfa05f41c891 · outbound

This paper cites A Multi-Level, Multi-Scale Visual Analytics Approach to Assessment of Multifidelity HPC Systems.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems A Multi-Level, Multi-Scale Visual Analytics Approach to Assessment of Multifidelity HPC Systems

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-10T04:37:32.048350Z

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Observation 3e4e08dd-ef91-48cd-bbf8-dff4d35dda96 · outbound

This paper cites A visual analytics exploratory and predictive framework for anomaly detection in multi-fidelity machine log data,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems A visual analytics exploratory and predictive framework for anomaly detection in multi-fidelity machine log data,

Reference 3

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Observation a44e2381-0b54-4665-a44a-223c5ce0364a · outbound

This paper cites D3 data-driven documents,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems D3 data-driven documents,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.629688Z

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Observation 7da7c360-4b51-402e-8806-8862e5141305 · outbound

This paper cites Jupyter: Thinking and storytelling with code and data,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Jupyter: Thinking and storytelling with code and data,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.618209Z

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Observation 5e9f3a1d-6c78-46a8-9894-9edf9526c2fb · outbound

This paper cites A systematic literature review on automated log abstraction techniques,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems A systematic literature review on automated log abstraction techniques,

Reference 6

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Observation 730b6c7d-ed51-4895-a775-36aab41d5f94 · outbound

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

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems A survey on automated log analysis for reliability engineering,

Reference 7

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Observation e3bd45cd-7a07-4ab3-85dd-4c9c7e746bcc · outbound

This paper cites Operational-log analysis for big data systems: Challenges and solu- tions,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Operational-log analysis for big data systems: Challenges and solu- tions,

Reference 8

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Observation 97fefb30-a460-4faf-bb14-fa1a20e69002 · outbound

This paper cites A survey of online failure prediction methods,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems A survey of online failure prediction methods,

Reference 9

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Observation c7435f81-55c7-444c-9c5f-46d852c90c11 · outbound

This paper cites Predicting faults in high performance computing systems: An in-depth survey of the state-of-the-practice,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Predicting faults in high performance computing systems: An in-depth survey of the state-of-the-practice,

Reference 10

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Observation d2a5b891-f5e6-416b-9ddf-83bc4b880768 · outbound

This paper cites Loggan: a log-level generative adversarial network for anomaly detection using permutation event modeling,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Loggan: a log-level generative adversarial network for anomaly detection using permutation event modeling,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.584330Z

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Observation e6a0f5dc-fc90-46aa-bd46-a26047ee3a6d · outbound

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

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Detecting anomaly in big data system logs using convolutional neural network,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.572638Z

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Observation 508fdf0d-932f-4e79-bbc2-b64eb814ccd3 · outbound

This paper cites LogBERT: Log Anomaly Detection via BERT.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems LogBERT: Log Anomaly Detection via BERT

Reference 13

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Observation 8aee9276-4578-46da-ace8-3547e3ab41ef · outbound

This paper cites A visual analytics system for optimizing the performance of large-scale networks in supercomputing systems,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems A visual analytics system for optimizing the performance of large-scale networks in supercomputing systems,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.561023Z

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Observation 9ea65fc3-5cf2-422c-8656-e70606cd2a3f · outbound

This paper cites Visual analytics techniques for exploring the design space of large- scale high-radix networks,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Visual analytics techniques for exploring the design space of large- scale high-radix networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.549156Z

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Observation a657b522-7436-4c77-8901-79647d66adf7 · outbound

This paper cites Mela: A visual analytics tool for studying multifidelity HPC system logs,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Mela: A visual analytics tool for studying multifidelity HPC system logs,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.536960Z

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Observation 611008ed-cbe9-4e30-be39-77b455be1ca2 · outbound

This paper cites Toward an in-depth analysis of multifidelity high performance computing systems,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Toward an in-depth analysis of multifidelity high performance computing systems,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.524610Z

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Observation 52b60a40-c64e-4bc3-be20-f5049c7e4867 · outbound

This paper cites A visual analytics system for optimizing communications in massively parallel applications,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems A visual analytics system for optimizing communications in massively parallel applications,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.512212Z

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Observation f5b9de56-2cef-4a3e-8646-dea7c9872dd9 · outbound

This paper cites An intelligent anomaly detection scheme for micro-services architectures with temporal and spatial data analysis,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems An intelligent anomaly detection scheme for micro-services architectures with temporal and spatial data analysis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.500357Z

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Observation 6282a57e-47a6-4879-988b-c71054b6d74e · outbound

This paper cites A visual analytics approach for hardware system monitoring with streaming func- tional data analysis,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems A visual analytics approach for hardware system monitoring with streaming func- tional data analysis,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.489400Z

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Observation 707e9b6b-3702-48fc-b358-ef4a49a444c3 · outbound

This paper cites Using text visualization to aid analysis of machine maintenance logs.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Using text visualization to aid analysis of machine maintenance logs

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.479016Z

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Observation 6bd25db5-b87f-4b6e-a2bb-2ef475fa1206 · outbound

This paper cites Conceptscope: Organizing and visualizing knowledge in documents based on domain ontology,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Conceptscope: Organizing and visualizing knowledge in documents based on domain ontology,

Reference 22

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Observation 9b018146-ec77-4334-bd20-169006fd2013 · outbound

This paper cites Logaider: A tool for mining potential correlations of HPC log events,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Logaider: A tool for mining potential correlations of HPC log events,

Reference 23

Resolution: verified exact; doi, observed 2026-08-10T04:37:31.528906Z

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Observation 6fe36e7f-946b-464d-9fe9-977c6d745cc0 · outbound

This paper cites System log pre-processing to improve failure prediction,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems System log pre-processing to improve failure prediction,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.468249Z

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Observation 6f489e4f-d0ec-4e68-970c-5b596565a8cb · outbound

This paper cites Event log mining tool for large scale HPC systems,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Event log mining tool for large scale HPC systems,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.456764Z

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Observation ed340d0d-5b93-46bd-9423-e26421c9ccb7 · outbound

This paper cites Logdiver: A tool for measuring resilience of extreme-scale systems and applications,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Logdiver: A tool for measuring resilience of extreme-scale systems and applications,

Reference 26

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T04:37:31.796985Z

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Observation f563166b-956f-4b38-9c08-51cb2df93a4e · outbound

This paper cites Logmine: Fast pattern recognition for log analytics,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Logmine: Fast pattern recognition for log analytics,

Reference 27

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Observation ce24e442-b34f-477c-ab27-4bb645285b3a · outbound

This paper cites Aarohi: Making real-time node failure prediction feasible,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Aarohi: Making real-time node failure prediction feasible,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.445220Z

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Observation 6997ca0a-6233-4452-8801-3411397c96b2 · outbound

This paper cites Padla: A dynamic log level adapter using online phase detection,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Padla: A dynamic log level adapter using online phase detection,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.433697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 678281d5-1808-42c4-a7ef-546f6194938c · outbound

This paper cites Extracting the textual and temporal structure of supercomputing logs,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Extracting the textual and temporal structure of supercomputing logs,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.421988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 576b3e7b-cca4-41ed-8747-513971d6d0b5 · outbound

This paper cites Mining historical issue repositories to heal large-scale online service systems,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Mining historical issue repositories to heal large-scale online service systems,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.411110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b0f44ce2-a6bd-4215-8764-2a605da52167 · outbound

This paper cites A semantic-aware representation framework for online log analysis,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems A semantic-aware representation framework for online log analysis,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.400009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1d15b6d8-0adb-4e3f-ba84-c208e8509e7b · outbound

This paper cites Multiresolution dynamic mode decomposition,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Multiresolution dynamic mode decomposition,

Reference 33

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Observation 267363cb-88b7-4c68-981b-29862bbfe752 · outbound

This paper cites Spectral analysis of nonlinear flows,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Spectral analysis of nonlinear flows,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.388705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9cdf5fb2-8b02-45fa-af1c-ca26a635f168 · outbound

This paper cites Dynamic mode decomposition of numerical and experi- mental data,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Dynamic mode decomposition of numerical and experi- mental data,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.376530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3ae6cc57-6892-4c9d-94b2-be2f74e223da · outbound

This paper cites On dynamic mode decomposition: Theory and applications,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems On dynamic mode decomposition: Theory and applications,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.364178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 75b4e162-2b61-461e-a1c3-2dd6e698bd2a · outbound

This paper cites Multi-resolution dynamic mode decomposition for damage detection in wind turbine gearboxes,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Multi-resolution dynamic mode decomposition for damage detection in wind turbine gearboxes,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.352710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a52ba9a2-8b2c-417f-9f9a-dd9fc5b22f2b · outbound

This paper cites Novel windowed multi- resolution dynamic mode decomposition (wmrdmd): Application to unsteady surface pressure over a wing in flutter,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Novel windowed multi- resolution dynamic mode decomposition (wmrdmd): Application to unsteady surface pressure over a wing in flutter,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.341334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2c32fd07-0e37-464a-a722-b89a850426e2 · outbound

This paper cites Dynamic mode decomposition with control,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Dynamic mode decomposition with control,

Reference 39

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Source-reported events for the cited work

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Observation 564ea7a7-a2ba-4935-9eea-78737c71f311 · outbound

This paper cites Online dynamic mode decomposition for time-varying systems,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Online dynamic mode decomposition for time-varying systems,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T04:37:31.350172Z

Source-reported events for the cited work

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Observation 802af70d-d9da-4afd-bd7f-9826cf05319b · outbound

This paper cites Dynamic mode decomposition for large and streaming datasets,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Dynamic mode decomposition for large and streaming datasets,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.329019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b15514a0-4c61-494a-a7b1-6b629da801c7 · outbound

This paper cites Streaming GPU Singular Value and Dynamic Mode Decompositions.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Streaming GPU Singular Value and Dynamic Mode Decompositions

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-10T04:37:31.668523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fd6d0689-e2ee-4f42-9daf-57d85812069e · outbound

This paper cites Dynamic mode decomposition for multiscale nonlinear physics,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Dynamic mode decomposition for multiscale nonlinear physics,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.317076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 234c0d75-c1f5-4b5a-8572-45f41f75419f · outbound

This paper cites Sparsity-promoting dynamic mode decomposition,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Sparsity-promoting dynamic mode decomposition,

Reference 44

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Source-reported events for the cited work

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Observation e012f305-222f-46e8-a505-4afaf9aace1f · outbound

This paper cites Multi-resolution dmd,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Multi-resolution dmd,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.305634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f39b8a02-ead4-4a41-a7ee-cc41f155e71e · outbound

This paper cites An incremental singular value decomposition approach for large-scale spatially parallel & distributed but temporally serial data – applied to technical flows,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems An incremental singular value decomposition approach for large-scale spatially parallel & distributed but temporally serial data – applied to technical flows,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.294368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cdec9995-93ff-45eb-afde-f0340d863fb8 · outbound

This paper cites an unresolved cited work.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-10T04:37:32.283186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 141b2d27-8e04-44f0-82b8-dac8b13e67dd · outbound

This paper cites an unresolved cited work.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-10T04:37:32.271680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0fc9be16-1bda-4db1-96a7-e496d16fd59a · outbound

This paper cites The optimal hard threshold for singular values is 4 / √ 3,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems The optimal hard threshold for singular values is 4 / √ 3,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.260494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 96b7ef78-2162-489f-b80f-78a7015548db · outbound

This paper cites Chapter 2 - signal sampling and quantization,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Chapter 2 - signal sampling and quantization,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.247991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9084efa3-99a3-499f-b142-0850a7638762 · outbound

This paper cites Argonne leadership computing facility (alcf) theta supercomputer,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Argonne leadership computing facility (alcf) theta supercomputer,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.236215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 624ce9fa-c7aa-4526-80f3-7405d7410cc1 · outbound

This paper cites La V ALSE: Scalable log visualization for fault characterization in supercomputers,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems La V ALSE: Scalable log visualization for fault characterization in supercomputers,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.221708Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f50a820f-243c-409a-83dd-9c2efc24f24c · outbound

This paper cites A visual analytics framework for reviewing mul- tivariate time-series data with dimensionality reduction,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems A visual analytics framework for reviewing mul- tivariate time-series data with dimensionality reduction,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.209256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 72200ca6-dee1-4204-baa2-f31600d1c428 · outbound

This paper cites CloudDet: Interactive visual analysis of anomalous perfor- mances in cloud computing systems,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems CloudDet: Interactive visual analysis of anomalous perfor- mances in cloud computing systems,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.196923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e9e250ce-cebb-45d8-ac70-c200f441c9d9 · outbound

This paper cites EnsembleLens: Ensemble-based visual exploration of anomaly detection algorithms with multidimensional data,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems EnsembleLens: Ensemble-based visual exploration of anomaly detection algorithms with multidimensional data,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.184497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2888eee6-5c29-47a0-8151-1b0af75fadc1 · outbound

This paper cites Theta: Rapid installation and acceptance of an XC40 KNL system,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Theta: Rapid installation and acceptance of an XC40 KNL system,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.171653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7a8c19be-65bf-45e3-8867-6cdb4cc46554 · outbound

This paper cites The supercomputer “Fugaku.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems The supercomputer “Fugaku

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.158449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ed8be451-7286-4e52-9b3d-a94cd0a59c94 · outbound

This paper cites Aurora: Argonne’s next-generation exascale supercomputer,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Aurora: Argonne’s next-generation exascale supercomputer,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.145350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 42e24eab-20f4-4300-9fb3-7c8be3eb2039 · outbound

This paper cites The exascale era is upon us: The frontier supercomputer may be the first to reach 1,000,000,000,000,000,000 operations per second,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems The exascale era is upon us: The frontier supercomputer may be the first to reach 1,000,000,000,000,000,000 operations per second,

Reference 59

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T04:37:31.650653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7eb02723-074c-4c6a-9b3b-d10506f114b5 · outbound

This paper cites Principal components analysis (pca),.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Principal components analysis (pca),

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.132757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b94a200a-4f08-47c9-a28f-53911aa2aa64 · outbound

This paper cites Incremental learning for robust visual tracking,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Incremental learning for robust visual tracking,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.120220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 45c898e8-9f2a-416c-80bf-6d1cd3ceca10 · outbound

This paper cites Accelerating t-sne using tree-based algorithms,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Accelerating t-sne using tree-based algorithms,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.107181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 566180cc-3e64-49a2-ae55-2ca0194a6f99 · outbound

This paper cites Umap: Uniform manifold approximation and projection,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Umap: Uniform manifold approximation and projection,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T04:37:31.448885Z

Source-reported events for the cited work

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Observation d2dc7d91-0dce-459f-a8ac-2f91564a1d9d · outbound

This paper cites Application of aligned-umap to longitudinal biomedical studies,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Application of aligned-umap to longitudinal biomedical studies,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.073523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ab4d16df-9f4d-42ee-acd6-54d16b07352b · outbound

This paper cites Multicore-tsne,.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Multicore-tsne,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.061344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 65c7e7a4-32d6-4909-86f6-f9ad91c87fe9 · outbound

This paper cites Available: http://jmlr.org/papers/v15/vandermaaten14a.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Available: http://jmlr.org/papers/v15/vandermaaten14a

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:32.094702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0dc3d404-28d6-402d-a413-3be3fec26667 · outbound

This paper cites Available: https://link.aps.org/doi/10.1103/PhysRevE.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Available: https://link.aps.org/doi/10.1103/PhysRevE

Reference 2019

Resolution: malformed identifier; no resolver link, observed 2026-08-10T04:37:31.366415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 553f7179-3e75-4b1d-8b2f-335582d794b5 · outbound

This paper cites Available: https://doi.org/10.1007/s10796-020-10026-3.

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems Available: https://doi.org/10.1007/s10796-020-10026-3

Reference 2021

Resolution: verified exact; doi, observed 2026-08-10T04:37:31.542216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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