Pith. sign in

Paper Citation Record · LEDGER

Agentic AI for autonomous anomaly management in complex systems

As of 8 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:31:22.452388Z digest=sha256:258a7c95f4c68317d2e5fa30150e474b628a81d990bb1a29874aff350280ddf8

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:c4d8208e25273df8751de9d4691a1c029a91968a8fb800249c3b786e6933515b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T01:50:23.898801Z digest=sha256:896f606fcbc6e60ac45e7256899d32880ae7e2d1628969654a9b221174f3397a

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:cf6f492b8cd3697076878dad8d7f30965c3508c1593af9abe945ddc2ef94a18f

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=sha256:98afb97e999a80d9807a9b697c46535877bc5be550afb1957e5141b111feea39