Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1801.01489.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:24:47.041271Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T04:23:52.826832Z
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 242b2578-f061-4583-af33-c3eb37f03ca0 · inbound
Industry Practitioners Perspectives on AI Model Quality: Perceptions, Challenges, and Solutions cites this paper.
Industry Practitioners Perspectives on AI Model Quality: Perceptions, Challenges, and Solutions All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T04:23:52.829193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 247cdf17-f240-45ad-9cf9-9e9254133885 · inbound
AI-Spectra: A Visual Dashboard for Model Multiplicity to Enhance Informed and Transparent Decision-Making cites this paper.
AI-Spectra: A Visual Dashboard for Model Multiplicity to Enhance Informed and Transparent Decision-Making All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:24:47.041271Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29ff2fed-863f-4311-8baf-d6a27e77832c · inbound
How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data cites this paper.
How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:19:44.575672Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22bda1e0-7008-4695-84ee-b8d1d9397072 · inbound
Towards Reliable Testing of Machine Unlearning cites this paper.
Towards Reliable Testing of Machine Unlearning All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:25:18.318896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3c68f210-8ba9-4c97-88e9-5913c5bbe371 · inbound
Scaling Inherently Interpretable Language Models cites this paper.
Scaling Inherently Interpretable Language Models All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously
Reference 188
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:36:59.145130Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.