Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2508.09178.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-12T06:01:58.407747Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T22:01:17.964638Z
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 379574fb-b049-4d9a-a08f-9af9cae653f7 · inbound
AgentIAD: Agentic Industrial Anomaly Detection via Adaptive Memory Augmentation cites this paper.
AgentIAD: Agentic Industrial Anomaly Detection via Adaptive Memory Augmentation IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T22:01:17.966554Z
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.
Observation 250d8816-74eb-4ff0-ad5a-7cbb783c4ae6 · inbound
AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context Comparison cites this paper.
AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context Comparison IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T11:55:33.316453Z
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.
Observation 86130e0c-42d1-47c1-9319-e376b1548821 · 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 IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:36:26.206302Z
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.
Observation f3046267-8d8c-41b3-a093-0e788ba0e488 · inbound
CL-Anomaly: Layer-Adaptive Mixture-of-Experts with Multimodal Large Language Model for Continual Learning in Anomaly Detection cites this paper.
CL-Anomaly: Layer-Adaptive Mixture-of-Experts with Multimodal Large Language Model for Continual Learning in Anomaly Detection IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T06:01:58.407747Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0321731-6b69-4dc5-875c-be97b16f17d7 · 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 IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T23:45:43.436443Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.