Paper Citation Record · LEDGER

Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2107.05908.

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

pith.paper-citation-record.v1
2107.05908 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:37:04.347452Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T00:24:04.888477Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 328943ad-bd69-400f-8bb9-5e6103282694 · inbound

LogBabylon: A Unified Framework for Cross-Log File Integration and Analysis cites this paper.

LogBabylon: A Unified Framework for Cross-Log File Integration and Analysis Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:44.376910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbd9ca2a-81e1-4524-b010-facc3c930a38 · inbound

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations cites this paper.

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T12:52:24.372457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23ed2a8b-dcc1-4203-94ee-fc732ab08692 · inbound

AL-Bench: A Benchmark for Automatic Logging cites this paper.

AL-Bench: A Benchmark for Automatic Logging Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T05:44:40.387832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2baebaaf-c4a9-419f-806d-bdcbf54853b4 · inbound

Tracezip: Efficient Distributed Tracing via Trace Compression cites this paper.

Tracezip: Efficient Distributed Tracing via Trace Compression Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T15:53:32.698536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dca9a33-50dc-422d-b17e-dcaa305a4eea · inbound

Behavioral Anomaly Detection in Distributed Systems via Federated Contrastive Learning cites this paper.

Behavioral Anomaly Detection in Distributed Systems via Federated Contrastive Learning Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T18:37:04.347452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 821fe0a4-9f84-4863-be24-610d0557a644 · inbound

RANGAN: GAN-empowered Anomaly Detection in 5G Cloud RAN cites this paper.

RANGAN: GAN-empowered Anomaly Detection in 5G Cloud RAN Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T14:40:46.828492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c6a9d8b-8844-49bf-977f-75fbcf7b5baf · inbound

AnomalyGen: Enhancing Log-Based Anomaly Detection with Code-Guided Data Augmentation cites this paper.

AnomalyGen: Enhancing Log-Based Anomaly Detection with Code-Guided Data Augmentation Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:06.962076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5b7a0479-3b0f-4e93-961c-ca6f5e6bb45f · inbound

CelerLog: Fast Log Parsing via Dynamic Routing cites this paper.

CelerLog: Fast Log Parsing via Dynamic Routing Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-30T00:24:04.889561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 05183e7a-d3f9-48d5-921a-8298ee0893e3 · inbound

LogNLQ: Natural-Language Log Querying with Parser-Induced and Semantically Grounded Schemas cites this paper.

LogNLQ: Natural-Language Log Querying with Parser-Induced and Semantically Grounded Schemas Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T23:16:33.804498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.