Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A framework for bilevel optimization that enables stochastic and global variance reduction algorithms
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2201.13409.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T11:16:08.898405Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T02:19:22.829456Z
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 3c458f30-5197-4433-aa31-d301d2046384 · inbound
BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining cites this paper.
BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining A framework for bilevel optimization that enables stochastic and global variance reduction algorithms
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:16:08.898405Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b663ba1-e232-43b0-a147-4b2be4bbe3d1 · inbound
Stochastic Regret Guarantees for Online Zeroth- and First-Order Bilevel Optimization cites this paper.
Stochastic Regret Guarantees for Online Zeroth- and First-Order Bilevel Optimization A framework for bilevel optimization that enables stochastic and global variance reduction algorithms
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T19:10:30.797507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fc742003-cb8a-4c0b-9f6f-bed733c0261f · inbound
Single-loop approaches to nonsmooth bilevel optimisation cites this paper.
Single-loop approaches to nonsmooth bilevel optimisation A framework for bilevel optimization that enables stochastic and global variance reduction algorithms
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T02:19:22.830734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.