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Paper Citation Record · LEDGER

RedChronos: A Large Language Model-Based Log Analysis System for Insider Threat Detection in Enterprises

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.02702.

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

pith.paper-citation-record.v1
2503.02702 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:36:43.014195Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:27:40.504802Z

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 b57d888a-8d14-4880-b2ca-167ff14526ff · inbound

Evaluating Language Models For Threat Detection in IoT Security Logs cites this paper.

Evaluating Language Models For Threat Detection in IoT Security Logs RedChronos: A Large Language Model-Based Log Analysis System for Insider Threat Detection in Enterprises

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:43.014195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:43.014195Z digest=sha256:867dd1f841786ce3ca76f66321ae63f2ca83156f7608d5320f21ceefcc49807f

Observation 2090df9b-46d4-44fa-93b8-b0ab0afae5c8 · inbound

SimViews: An Interactive Multi-Agent System Simulating Visitor-to-Visitor Conversational Patterns to Present Diverse Perspectives of Artifacts in Virtual Museums cites this paper.

SimViews: An Interactive Multi-Agent System Simulating Visitor-to-Visitor Conversational Patterns to Present Diverse Perspectives of Artifacts in Virtual Museums RedChronos: A Large Language Model-Based Log Analysis System for Insider Threat Detection in Enterprises

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T21:58:52.757535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:58:52.757535Z digest=sha256:1975f95872a52ad89900d1b357fbbd039368c2460c1eea5ee6c461661c56cc67

Observation 175b138f-5569-4b48-aee7-1dc1b83cd1be · inbound

Parser-Free Querying of Security Logs cites this paper.

Parser-Free Querying of Security Logs RedChronos: A Large Language Model-Based Log Analysis System for Insider Threat Detection in Enterprises

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-22T06:04:39.390600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T06:02:46.239060Z digest=sha256:9efc9db600bdcf5ac26fce5617ac0eaee97d63fed54dca72cedaf78617935f07

Observation b1b44845-ca05-4f40-ac39-dbcc3c8ad84d · inbound

Benchmarking and Exploring the Capabilities of LLMs for Attack Investigations cites this paper.

Benchmarking and Exploring the Capabilities of LLMs for Attack Investigations RedChronos: A Large Language Model-Based Log Analysis System for Insider Threat Detection in Enterprises

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:27:40.506106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T13:10:55.969499Z digest=sha256:60c7fb906a6e91cf859d306c7d170ad85583b974712495b232b1278fd2b8d9d1