Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Robust Estimators in High Dimensions without the Computational Intractability
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1604.06443.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:11:39.403042Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T13:58:15.263383Z
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 212cc88d-cd7c-4d35-807e-4199eb597910 · inbound
Numerical Pruning for Efficient Autoregressive Models cites this paper.
Numerical Pruning for Efficient Autoregressive Models Robust Estimators in High Dimensions without the Computational Intractability
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:26.943120Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dcb46a2a-ac9d-4952-9e27-df2ec23fd8e8 · inbound
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers cites this paper.
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers Robust Estimators in High Dimensions without the Computational Intractability
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:39.403042Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a0c3942-9daf-4d22-97b5-d6abf63b58c8 · inbound
Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning cites this paper.
Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning Robust Estimators in High Dimensions without the Computational Intractability
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:58:15.329140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.