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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 2 inbound Pith citation observations for arXiv:2012.07976.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2012.07976 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:06:55.923429Z

measured 0 of 1 external citation measurements

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 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.

source=pdf_text observed=2026-08-08T21:06:55.923429Z digest=sha256:a6444affe8196effee94a32ca41f13cd158dc5d5f175bc73dda7102f9a00d8b6

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.

source=arxiv_source observed=2026-08-02T07:40:30.691198Z digest=sha256:897432f1175bb034fb13d9f57a2ac4811c51e303659f4bf8d31df39bfd2b4c25