Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Problem with Metrics is a Fundamental Problem for AI
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2002.08512.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:22:55.682066Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T05:56:01.764441Z
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 f0d25d66-897c-429b-8576-4c379747ed9e · inbound
Active teacher selection for reward learning cites this paper.
Active teacher selection for reward learning The Problem with Metrics is a Fundamental Problem for AI
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T05:56:01.768089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cebebf88-09b3-437a-852b-f75651875a43 · inbound
The Leaderboard Illusion cites this paper.
The Leaderboard Illusion The Problem with Metrics is a Fundamental Problem for AI
Reference 95
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:22:55.682066Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2419bd08-0f63-4c67-9ce0-4d078fe84f63 · inbound
Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects cites this paper.
Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects The Problem with Metrics is a Fundamental Problem for AI
Reference 99
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:26:35.164741Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.