Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Solving SDP Faster: A Robust IPM Framework and Efficient Implementation
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2101.08208.
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 2026-08-11T14:11:39.540369Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T23:06:21.927794Z
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 c2f461c1-7ae9-4f76-bae0-ac2de985b86c · inbound
Numerical Pruning for Efficient Autoregressive Models cites this paper.
Numerical Pruning for Efficient Autoregressive Models Solving SDP Faster: A Robust IPM Framework and Efficient Implementation
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:27.048436Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 237c420b-858a-40a1-90a1-d26d7cfc587c · inbound
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers cites this paper.
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers Solving SDP Faster: A Robust IPM Framework and Efficient Implementation
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:39.540369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81b574c4-b6f6-4f50-9728-3a532838e933 · inbound
Scalable First-Order Interior Point Trust Region Algorithms for Linearly Constrained Optimization cites this paper.
Scalable First-Order Interior Point Trust Region Algorithms for Linearly Constrained Optimization Solving SDP Faster: A Robust IPM Framework and Efficient Implementation
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:06:21.963439Z
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.