Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2210.06812.
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 2026-08-02T10:02:36.797778Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T15:51:12.680553Z
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 14b0dedb-f09d-47e0-b324-46f56c36e604 · inbound
DeepFact: Co-Evolving Benchmarks and Agents for Deep Research Factuality cites this paper.
DeepFact: Co-Evolving Benchmarks and Agents for Deep Research Factuality CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T15:51:12.684634Z
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 88db8488-36db-4107-9139-1e0ef6d2ec70 · inbound
BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges cites this paper.
BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T10:02:36.797778Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 560b4601-4084-48bd-8760-e9226e6e14f2 · inbound
A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection cites this paper.
A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T10:23:29.282500Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.