Paper Citation Record · LEDGER

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection

As of 21 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 3 inbound Pith citation observations for arXiv:2505.12594.

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

pith.paper-citation-record.v1
2505.12594 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:34:14.488083Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T02:33:34.084111Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T12:05:44.032908Z

Reference resolution

14 of 14 outbound references displayed

verified exact1
verified fuzzy3
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa9394dc-8be3-4eb8-919d-9b9ae38e16ed · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:14.439840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b33192d2-2b08-4395-a9bc-35b5b60bf14c · outbound

This paper cites Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation.

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:14.448927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba5f4d2b-6563-4d5f-908b-b56f2a2c5b03 · outbound

This paper cites DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration.

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:14.457999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48288b06-bbf5-4aa9-a29d-9bad12234f98 · outbound

This paper cites Audit-LLM: Multi-Agent Collaboration for Log-based Insider Threat Detection.

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection Audit-LLM: Multi-Agent Collaboration for Log-based Insider Threat Detection

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:14.462844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9286a5a-95a0-4285-9c2b-a4fc6b47722d · outbound

This paper cites Deep Time Series Models: A Comprehensive Survey and Benchmark.

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection Deep Time Series Models: A Comprehensive Survey and Benchmark

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:14.471170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 409c8603-aff6-4f2f-9009-1aae3fab88e8 · outbound

This paper cites arXiv preprint arXiv:2412.11142.

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection arXiv preprint arXiv:2412.11142

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:14.475461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44aa02d3-2051-4e1a-8f0f-d238bf73ca31 · outbound

This paper cites A Survey on the Memory Mechanism of Large Language Model based Agents.

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection A Survey on the Memory Mechanism of Large Language Model based Agents

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:14.479411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93499145-7fa9-4bee-92c2-b1a783262bf8 · outbound

This paper cites While effective, these sys- tems are domain-specific and fixed in scope.

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection While effective, these sys- tems are domain-specific and fixed in scope

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:14.804714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 99a3900c-30ad-4e77-861e-cada6c252817 · outbound

This paper cites Best Performance.

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection Best Performance

Reference 14

Resolution: verified exact; raw_fallback, observed 2026-08-15T20:34:14.609978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1df7d311-96ea-4147-a545-e149d04e13ad · outbound

This paper cites Accessed: 2025-05-16.

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection Accessed: 2025-05-16

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:14.832264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b02e7f22-318f-4844-a61b-fd22b0cba174 · outbound

This paper cites kill chain.

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection kill chain

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:14.819041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8d3e31c5-e01c-48f4-abb9-184f5ccbe8d5 · outbound

This paper cites Political-LLM: Large Language Models in Political Science.

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection Political-LLM: Large Language Models in Political Science

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:14.453479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88098336-7daf-4ae8-b495-10c8227bdbc3 · outbound

This paper cites PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection.

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:14.428682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a5a0339-43ec-4c02-852e-797f640d9440 · outbound

This paper cites Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models.

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:14.434210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f388438d-7515-4517-84c0-3534e86d02dd · 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 AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:21:19.465772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 74d68dc8-8c56-4310-9b13-76039964fa1e · inbound

Distributed Hierarchical Temporal Memory with Shared Associative Memory for Cross-Entity Preemptive Warning cites this paper.

Distributed Hierarchical Temporal Memory with Shared Associative Memory for Cross-Entity Preemptive Warning AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-01T12:05:44.034364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3b621726-fe17-43d6-ba8c-9b1d9b1a0591 · inbound

Inside the Unfair Judge: A Mechanistic Interpretability Account of LLM-as-Judge Bias cites this paper.

Inside the Unfair Judge: A Mechanistic Interpretability Account of LLM-as-Judge Bias AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection

Reference 220

Resolution: unresolved; no resolver link, observed 2026-07-14T02:33:34.084111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.