Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2003.12206.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 2026-08-08T04:17:31.852636Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T00:15:08.958291Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 7635768c-1e35-4f64-902d-e5bce9b67624 · inbound
Positional Failures in Long-Context LLMs: A Blind Spot in Reasoning Benchmarks Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
Reference 15
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 9c5dc5a3-c9a6-4360-b0b2-055e76d89803 · inbound
Preregistration for Experiments with AI Agents Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
Reference 50
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 28c39d4a-fd44-40fd-9427-e04276eb9a3a · inbound
The C-index illusion: discrimination without calibration in published survival models Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
Reference 2021
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19c159ac-e7ef-4e43-849b-796c82b9d614 · inbound
On the missing benchmarks layer and a potential solution Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.