Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2012.07976.
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 2026-08-09T12:21:20.428250Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T21:06:56.678827Z
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 68d77435-c468-425e-8129-2f7cffe41b38 · inbound
Avoiding spurious sharpness minimization broadens applicability of SAM cites this paper.
Avoiding spurious sharpness minimization broadens applicability of SAM NeurIPS 2020 Competition: Predicting Generalization in Deep Learning
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T12:21:20.428250Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d035885d-8c60-4038-ad07-fdf4cbde629f · inbound
Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring cites this paper.
Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring NeurIPS 2020 Competition: Predicting Generalization in Deep Learning
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T21:06:56.683476Z
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.
Observation 1beae08b-3dd2-41c3-a8ea-14e95855fc4b · inbound
Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development cites this paper.
Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development NeurIPS 2020 Competition: Predicting Generalization in Deep Learning
Reference 173
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T07:40:30.691198Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.