Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Test Distribution-Aware Active Learning: A Principled Approach Against Distribution Shift and Outliers
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2106.11719.
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 2026-08-02T03:40:59.229814Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T06:20:58.984303Z
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 aaa62b3a-5a2f-4a0d-9627-6c8a5712ccbf · inbound
Beyond Binary Out-of-Distribution Detection: Characterizing Distributional Shifts with Multi-Statistic Diffusion Trajectories cites this paper.
Beyond Binary Out-of-Distribution Detection: Characterizing Distributional Shifts with Multi-Statistic Diffusion Trajectories Test Distribution-Aware Active Learning: A Principled Approach Against Distribution Shift and Outliers
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T06:20:58.986753Z
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 0a304658-49a5-4cbd-8ef8-efe463944a5c · inbound
Active Learning for Gaussian Process Regression Under Self-Induced Boltzmann Weights cites this paper.
Active Learning for Gaussian Process Regression Under Self-Induced Boltzmann Weights Test Distribution-Aware Active Learning: A Principled Approach Against Distribution Shift and Outliers
Reference 58
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:21:25.354526Z
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 a5f852b1-8b62-478d-bda8-a26af8fee9e5 · inbound
NodeImport: Imbalanced Node Classification with Node Importance Assessment cites this paper.
NodeImport: Imbalanced Node Classification with Node Importance Assessment Test Distribution-Aware Active Learning: A Principled Approach Against Distribution Shift and Outliers
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:40:59.229814Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.