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Paper Citation Record · LEDGER

Agentic AI for autonomous anomaly management in complex systems

As of 20 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 3 inbound Pith citation observations for arXiv:2507.15676.

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

pith.paper-citation-record.v1
2507.15676 v1

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:31:22.571458Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:13:31.069505Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:21:19.492278Z

Reference resolution

2 of 2 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3d9814ac-8f58-4ddd-88c0-433854c08841 · outbound

This paper cites agenticness.

Agentic AI for autonomous anomaly management in complex systems agenticness

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:22.855367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T15:31:22.452388Z digest=sha256:fba4da7bcb9297eef9da13a2d7dab4c2056fdd55fe5b87548c931493e0188378

Observation 4171e8a2-b9af-4585-9955-722b54d13aba · outbound

This paper cites Agent S: An Open Agentic Framework that Uses Computers Like a Human.

Agentic AI for autonomous anomaly management in complex systems Agent S: An Open Agentic Framework that Uses Computers Like a Human

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T15:31:22.571458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:31:22.571458Z digest=sha256:5e6a13e4367c42b6e64d06409a3066f5322dd6f96e3af7ecaaa3931b10bce289

Pith citing papers

Observation 54562897-ba3b-485b-bead-ed73fbc2bebc · inbound

Integrating Anomaly Detection into Agentic AI for Proactive Risk Management in Human Activity cites this paper.

Integrating Anomaly Detection into Agentic AI for Proactive Risk Management in Human Activity Agentic AI for autonomous anomaly management in complex systems

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:21:19.495991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T01:50:23.898801Z digest=sha256:1b07be9d2669db1750ab7217cde2ba77d7ecb1568f722891cbf4344ef55f7360

Observation 080f9b41-d9a1-451e-ad1b-3c1c5dfb963e · inbound

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls cites this paper.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls Agentic AI for autonomous anomaly management in complex systems

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-13T00:32:17.073983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T00:32:17.073983Z digest=sha256:77bb50e2574a7f7761df352b78f459d22be9c8e6f38758f28db86f07c168a6fa

Observation 661e421d-733d-45dd-854c-5cc1e84ad30e · inbound

SoK: How Frontier AI Reshapes System-Level Security Risk Dynamics in Critical Infrastructure cites this paper.

SoK: How Frontier AI Reshapes System-Level Security Risk Dynamics in Critical Infrastructure Agentic AI for autonomous anomaly management in complex systems

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:31.069505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:31.069505Z digest=sha256:9be5f9fdc6968d1e8a2dd7e587a763a83f1b83342791671d869a3ebddb994ea7