Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2202.12183.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:44:54.914930Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T14:38:29.018620Z
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 39d6d9bf-e3a7-4d25-a4ab-08bb712fb7ae · inbound
Breaking the Top-$K$ Barrier: Advancing Top-$K$ Ranking Metrics Optimization in Recommender Systems cites this paper.
Breaking the Top-$K$ Barrier: Advancing Top-$K$ Ranking Metrics Optimization in Recommender Systems Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:44:54.914930Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f47c7532-b545-4aa3-bdad-8edc731c692e · inbound
A Geometry-Aware Efficient Algorithm for Compositional Entropic Risk Minimization cites this paper.
A Geometry-Aware Efficient Algorithm for Compositional Entropic Risk Minimization Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
Reference 8856
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:17:25.018873Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b9840c7-636a-469c-87aa-35da4ce034e1 · inbound
PRISMR: Overcoming Parse Collapse in Multimodal Listwise Ranking via Parameterized Representation Internalization cites this paper.
PRISMR: Overcoming Parse Collapse in Multimodal Listwise Ranking via Parameterized Representation Internalization Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T14:38:29.020210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.