Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Forecasting AI Progress: Evidence from a Survey of Machine Learning Researchers
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2206.04132.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:45:36.890353Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
22
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 9698ab54-0d3a-4c6f-bdbb-6e23f14468dd · inbound
Why do Experts Disagree on Existential Risk and P(doom)? A Survey of AI Experts cites this paper.
Why do Experts Disagree on Existential Risk and P(doom)? A Survey of AI Experts Forecasting AI Progress: Evidence from a Survey of Machine Learning Researchers
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:45:36.890353Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 624c877f-84e6-411d-989d-4ff1baa972c6 · inbound
The human biological advantage over AI cites this paper.
The human biological advantage over AI Forecasting AI Progress: Evidence from a Survey of Machine Learning Researchers
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:23:42.535214Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74281386-1902-4ba1-b4c7-172779e00ba9 · inbound
Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts cites this paper.
Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts Forecasting AI Progress: Evidence from a Survey of Machine Learning Researchers
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T04:31:38.907724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.