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Paper Citation Record · LEDGER

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments

As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2607.19143.

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

pith.paper-citation-record.v1
2607.19143 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:21:19.434887Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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  • verified fuzzy0
  • unresolved35
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5cf27923-d7dd-4b88-9bd8-e8740b15b93e · outbound

This paper cites Big data meets hpc log analytics: Scalable approach to understanding systems at extreme scale,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Big data meets hpc log analytics: Scalable approach to understanding systems at extreme scale,

Reference 1

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Observation 05e47cfa-e70e-40a2-9ac3-4fc31f3e5b84 · outbound

This paper cites Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems

Reference 2

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Observation 268680cf-f400-4c94-979b-02d7af55d1e9 · outbound

This paper cites Logmaster: Mining event correlations in logs of large-scale cluster systems,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Logmaster: Mining event correlations in logs of large-scale cluster systems,

Reference 3

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Observation 53697a13-2cae-4a6f-9579-52f0d3ce581e · outbound

This paper cites ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection

Reference 4

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Observation fb05f61f-2e0e-484b-b901-d9bed0e629d8 · outbound

This paper cites Assessing data usefulness for fail- ure analysis in anonymized system logs,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Assessing data usefulness for fail- ure analysis in anonymized system logs,

Reference 5

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Observation 1a2f55b9-4f2a-4bec-ba48-427478ebf63e · outbound

This paper cites Epic: Generative ai platform for accelerating hpc operational data analytics,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Epic: Generative ai platform for accelerating hpc operational data analytics,

Reference 6

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Observation 89c0dad8-c626-4741-8774-1a30dfff2506 · outbound

This paper cites Clairvoyant: a log-based transformer-decoder for failure prediction in large- scale systems,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Clairvoyant: a log-based transformer-decoder for failure prediction in large- scale systems,

Reference 7

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Observation 1348c4a9-95ad-411a-a493-d6bf97d94949 · outbound

This paper cites Time machine: Generative real-time model for failure (and lead time) prediction in HPC systems,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Time machine: Generative real-time model for failure (and lead time) prediction in HPC systems,

Reference 8

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Observation dc460ed5-d938-4c96-992b-ccb1acab2d7f · outbound

This paper cites Analyzing and predicting job failures from HPC system log,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Analyzing and predicting job failures from HPC system log,

Reference 9

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Observation 501f4e60-8aeb-46ea-8144-deea6f764c5c · outbound

This paper cites Analyzing a lifetime of failures on a cray xc40 supercomputer,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Analyzing a lifetime of failures on a cray xc40 supercomputer,

Reference 10

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Observation 198572cc-7834-43ce-8fdf-6bc43c268c06 · outbound

This paper cites Sentilog: Anomaly detecting on parallel file systems via log-based sentiment analysis,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Sentilog: Anomaly detecting on parallel file systems via log-based sentiment analysis,

Reference 11

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Observation 1b8d82ae-1d27-4ee9-be41-1b4ea8feae48 · outbound

This paper cites ModuleLog: Module based approach to anomaly detection in parallel file system logs,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments ModuleLog: Module based approach to anomaly detection in parallel file system logs,

Reference 12

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Observation 853a3b0c-e435-4a3c-bb06-e9b8ec4ec99d · outbound

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

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Mela: A visual analytics tool for studying multifidelity hpc system logs,

Reference 13

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Observation e89a2c9e-d713-4b3a-89a7-a6179129953d · outbound

This paper cites A multi-level, multi-scale visual analytics approach to assessment of multifidelity hpc systems,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments A multi-level, multi-scale visual analytics approach to assessment of multifidelity hpc systems,

Reference 14

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Observation beeaa94d-1be4-4c6e-af65-62714bc511dc · outbound

This paper cites An incremental multi-level, multi-scale approach to assessment of multifidelity hpc systems,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments An incremental multi-level, multi-scale approach to assessment of multifidelity hpc systems,

Reference 15

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Observation bf2c8e55-563c-4195-a1b2-ed2a88943d0b · outbound

This paper cites Spell: Streaming parsing of system event logs,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Spell: Streaming parsing of system event logs,

Reference 16

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Observation a0f1fded-a71f-4074-a40c-57eed700b814 · outbound

This paper cites Drain: An online log parsing approach with fixed depth tree,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Drain: An online log parsing approach with fixed depth tree,

Reference 17

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Observation 685d5921-8e54-4cef-afa2-79690a85acf8 · outbound

This paper cites Efficient string matching: an aid to bibliographic search,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Efficient string matching: an aid to bibliographic search,

Reference 18

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Observation 598a3a2c-e681-49bb-96b6-fea6e91fc6e8 · outbound

This paper cites an unresolved cited work.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Unresolved cited work

Reference 19

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Observation 9dc9f59b-4348-40a5-a25e-d1aa00903a63 · outbound

This paper cites Efficient multi-pattern log matching in go language,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Efficient multi-pattern log matching in go language,

Reference 20

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Observation 192eecc6-5ad3-4743-b3fc-ab4dfdff6df4 · outbound

This paper cites Glop: Enabling massively parallel incident response through gpu log processing,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Glop: Enabling massively parallel incident response through gpu log processing,

Reference 21

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Observation 5acd812a-8b20-458a-aa63-aa6f2590ad81 · outbound

This paper cites Juggling the jigsaw: towards automated problem inference from network trouble tickets,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Juggling the jigsaw: towards automated problem inference from network trouble tickets,

Reference 22

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Observation 387f33af-3365-448f-ba16-ef649858b2cc · outbound

This paper cites On the efficient application of aho-corasick algorithm in process mining,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments On the efficient application of aho-corasick algorithm in process mining,

Reference 23

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Observation 9085b08a-fc95-471b-aebd-4d0e80bbad65 · outbound

This paper cites Constructing the knowledge base for cognitive it service management,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Constructing the knowledge base for cognitive it service management,

Reference 24

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Observation 4f4493f7-b753-4563-b11e-a16f3f9bf5d1 · outbound

This paper cites Deterministic memory-efficient string matching algorithms for intrusion detection,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Deterministic memory-efficient string matching algorithms for intrusion detection,

Reference 25

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Observation 0a084085-4415-4ef3-89bf-9fa5015e33fa · outbound

This paper cites A high throughput string matching architecture for intrusion detection and prevention,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments A high throughput string matching architecture for intrusion detection and prevention,

Reference 26

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Observation f687892d-0289-4f3e-b025-d121b8f7a7bb · outbound

This paper cites A memory- efficient reconfigurable aho-corasick fsm implementation for intrusion detection systems,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments A memory- efficient reconfigurable aho-corasick fsm implementation for intrusion detection systems,

Reference 27

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Observation 85b9867c-6bf3-48f8-8034-d8b367bc353c · outbound

This paper cites philippe-fournier- viger.com,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments philippe-fournier- viger.com,

Reference 28

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Observation 6a6808e8-4018-40f7-9a27-79672ba1516a · outbound

This paper cites THUE: Discovering Top-K High Utility Episodes.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments THUE: Discovering Top-K High Utility Episodes

Reference 29

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Observation 73f6ea48-a7ef-426d-b3d2-088e6dad0cd0 · outbound

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A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Mining cross-level high utility itemsets,

Reference 30

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Observation 5fa2cc33-bfca-4198-805d-220d684d0d19 · outbound

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A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Mining cost-effective patterns in event logs,

Reference 31

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This paper cites Sequence detection in event log files,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Sequence detection in event log files,

Reference 32

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Observation ce3e0363-ff11-4b12-9640-d1dc33007d81 · outbound

This paper cites Log pattern mining for distributed system maintenance,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Log pattern mining for distributed system maintenance,

Reference 33

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Observation 739e70f6-4871-4648-a477-6c738f587ba8 · outbound

This paper cites Discovery of frequent episodes in event logs,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Discovery of frequent episodes in event logs,

Reference 34

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Observation 8f6f6317-eb5f-4113-88e4-7d26458af197 · outbound

This paper cites Online system problem detection by mining patterns of console logs,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Online system problem detection by mining patterns of console logs,

Reference 35

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Observation e66a0e89-c5dc-44fd-8cb2-c5b8560d1123 · outbound

This paper cites pyahocorasick — ahocorasick documentation — pyaho- corasick.readthedocs.io,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments pyahocorasick — ahocorasick documentation — pyaho- corasick.readthedocs.io,

Reference 36

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Observation 6545a700-6d96-41b6-a68e-9e98c19b8e37 · outbound

This paper cites Redis reference — redis.io,.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Redis reference — redis.io,

Reference 37

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Observation 8b4879d4-8c00-4542-84e2-3e976c5a0e36 · outbound

This paper cites Available: https://doi.org/10.1145/360825.360855.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Available: https://doi.org/10.1145/360825.360855

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