Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ECBD: Evidence-Centered Benchmark Design for NLP
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.08723.
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 2026-08-06T20:24:06.102199Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T11:01:17.101876Z
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 392c0350-9da5-427f-a879-abb4cde1c1c3 · inbound
Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks cites this paper.
Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks ECBD: Evidence-Centered Benchmark Design for NLP
Reference 82
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:24:06.102199Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f650c0da-1250-4734-b8d9-f5d51213e267 · inbound
Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances cites this paper.
Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances ECBD: Evidence-Centered Benchmark Design for NLP
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:47:46.544145Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08c6ec39-2564-4980-a553-244719dbf551 · inbound
Towards Real-World Validity in Generative AI Benchmarks: Understanding and Designing Domain-Centered Evaluations for Journalism Practitioners cites this paper.
Towards Real-World Validity in Generative AI Benchmarks: Understanding and Designing Domain-Centered Evaluations for Journalism Practitioners ECBD: Evidence-Centered Benchmark Design for NLP
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T11:01:17.103979Z
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.