Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2009.13447.
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 2026-08-06T10:29:39.217363Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T03:09:43.469388Z
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 ae3f0d36-ed05-41d7-a7f1-a71237f4e5f4 · inbound
Gradient-Boosted Pseudo-Weighting: Methods for Population Inference from Nonprobability samples cites this paper.
Gradient-Boosted Pseudo-Weighting: Methods for Population Inference from Nonprobability samples Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients
Reference 1997
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:29:39.217363Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8d0406d-1fb3-46c2-ac2e-4ff9948f5fef · inbound
CaTE Data Curation for Trustworthy AI cites this paper.
CaTE Data Curation for Trustworthy AI Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:23:19.980854Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 483c917e-0cdd-48cd-938c-2a977c3ad023 · inbound
Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling cites this paper.
Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients
Reference 243
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T03:09:43.472297Z
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.