Paper Citation Record · LEDGER

AutoIAD: Manager-Driven Multi-Agent Collaboration for Automated Industrial Anomaly Detection

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2508.05503.

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

pith.paper-citation-record.v1
2508.05503 v1

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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T23:45:43.436443Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ebffeffb-8131-45fe-a05e-d0ab10440467 · inbound

AgentIAD: Agentic Industrial Anomaly Detection via Adaptive Memory Augmentation cites this paper.

AgentIAD: Agentic Industrial Anomaly Detection via Adaptive Memory Augmentation AutoIAD: Manager-Driven Multi-Agent Collaboration for Automated Industrial Anomaly Detection

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:01:17.963414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e52cb80-5ef5-4fe0-876a-74f62cb560f0 · inbound

AnomalyClaw: A Universal Visual Anomaly Detection Agent via Tool-Grounded Refutation cites this paper.

AnomalyClaw: A Universal Visual Anomaly Detection Agent via Tool-Grounded Refutation AutoIAD: Manager-Driven Multi-Agent Collaboration for Automated Industrial Anomaly Detection

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:11:21.439547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0fecf8e7-4057-4bdd-b9ee-d928209616c8 · inbound

From paper to benchmark: agentic, framework-based reproduction of under-specified methods in machine health intelligence cites this paper.

From paper to benchmark: agentic, framework-based reproduction of under-specified methods in machine health intelligence AutoIAD: Manager-Driven Multi-Agent Collaboration for Automated Industrial Anomaly Detection

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:23:24.678388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 72f58505-e0f1-424b-ab0b-f0d77d2c855c · inbound

Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection cites this paper.

Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection AutoIAD: Manager-Driven Multi-Agent Collaboration for Automated Industrial Anomaly Detection

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-11T23:45:43.436443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.