Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unlocking Global Optimality in Bilevel Optimization: A Pilot Study
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.16087.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T20:12:52.459185Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T11:37:48.704884Z
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 022aa620-7218-4883-b983-8c54c2633a33 · inbound
Bilevel Data Curation for LLM Fine-tuning: Offline Selection and Online Self-Refining Generation cites this paper.
Bilevel Data Curation for LLM Fine-tuning: Offline Selection and Online Self-Refining Generation Unlocking Global Optimality in Bilevel Optimization: A Pilot Study
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T20:12:52.459185Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9d736c9-7058-4291-8ee5-1deef649af6a · inbound
A Hessian-Free Actor-Critic Algorithm for Bi-Level Reinforcement Learning with Applications to LLM Fine-Tuning cites this paper.
A Hessian-Free Actor-Critic Algorithm for Bi-Level Reinforcement Learning with Applications to LLM Fine-Tuning Unlocking Global Optimality in Bilevel Optimization: A Pilot Study
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T11:37:48.707143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 19e75510-11da-46ca-8904-c748c26790fb · inbound
Optimization under Persistent State-Dependent Bias: Gradient-based Method and Complexity Analysis cites this paper.
Optimization under Persistent State-Dependent Bias: Gradient-based Method and Complexity Analysis Unlocking Global Optimality in Bilevel Optimization: A Pilot Study
Reference 276
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T00:57:27.801217Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.