Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Nonparametric inference on non-negative dissimilarity measures at the boundary of the parameter space
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.07492.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:04:32.908947Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T13:36:03.378352Z
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 91395fe5-d9c0-4a74-a68c-c911c351fd56 · inbound
"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift cites this paper.
"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift Nonparametric inference on non-negative dissimilarity measures at the boundary of the parameter space
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:04:32.908947Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c00ceca8-5d2a-4c3d-9e0a-a246fa8fc30d · inbound
A general nonparametric framework for testing hypotheses about function-valued parameters cites this paper.
A general nonparametric framework for testing hypotheses about function-valued parameters Nonparametric inference on non-negative dissimilarity measures at the boundary of the parameter space
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:36:03.380816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.