Paper Citation Record · LEDGER

Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.05639.

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

pith.paper-citation-record.v1
2407.05639 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:56:19.547022Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:13:34.894248Z

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 f4ef918b-07f5-4077-b885-bcf697a82c8c · inbound

Trajectory Map-Matching in Urban Road Networks Based on RSS Measurements cites this paper.

Trajectory Map-Matching in Urban Road Networks Based on RSS Measurements Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T15:56:19.547022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcbe700e-cd75-4f76-8fd6-fe60c2fb01f9 · inbound

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion cites this paper.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:12.998572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6a3df68-b1e6-4510-99c2-091afa14022d · inbound

Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks cites this paper.

Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T10:16:55.729554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77e3c97e-39e4-441e-92b5-fea8fa8dd521 · inbound

Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models cites this paper.

Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:54.768173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91042783-e73a-4d76-83d4-7c8a81ac1e8d · inbound

Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems cites this paper.

Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:13:34.957779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0375ba9f-a11c-4484-ba5a-bc3eee55b8b4 · inbound

Exploring Block Anomaly Detection In HDFS Log Data Analysis cites this paper.

Exploring Block Anomaly Detection In HDFS Log Data Analysis Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T08:06:40.702749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.