Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.12706.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T08:50:38.271598Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T03:00:15.906029Z
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 baadcfbf-cd6b-455f-a2e4-58a393ecea92 · inbound
Resilience Characterization of AI-Native Wireless Receivers via Persistent Homology cites this paper.
Resilience Characterization of AI-Native Wireless Receivers via Persistent Homology Maximum Mean Discrepancy on Exponential Windows for Online Change Detection
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T03:00:15.909139Z
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 5d48e01a-b058-4dc9-8902-226a153f9444 · inbound
Cloud-Native Evaluation-as-a-Service: A Microservices Architecture for Scalable AI Monitoring with Conformal Guarantees cites this paper.
Cloud-Native Evaluation-as-a-Service: A Microservices Architecture for Scalable AI Monitoring with Conformal Guarantees Maximum Mean Discrepancy on Exponential Windows for Online Change Detection
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T08:50:38.271598Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.