Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mixture of Robust Experts (MoRE):A Robust Denoising Method towards multiple perturbations
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2104.10586.
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 2026-08-11T14:51:09.827622Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T16:35:09.938208Z
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 df47ab28-d4ef-4da9-8457-0f71d4244b93 · inbound
Towards Generalized Certified Robustness with Multi-Norm Training cites this paper.
Towards Generalized Certified Robustness with Multi-Norm Training Mixture of Robust Experts (MoRE):A Robust Denoising Method towards multiple perturbations
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T20:03:24.444409Z
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 72f76335-fc9f-4949-8463-80a52a85ae32 · inbound
Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation cites this paper.
Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation Mixture of Robust Experts (MoRE):A Robust Denoising Method towards multiple perturbations
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:51:09.827622Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d12b94a-c160-4ab5-8f64-0cce8af06029 · inbound
RoME: Robust Mixture of Low-Rank Experts against Multiple Adversarial Perturbations cites this paper.
RoME: Robust Mixture of Low-Rank Experts against Multiple Adversarial Perturbations Mixture of Robust Experts (MoRE):A Robust Denoising Method towards multiple perturbations
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-08T16:35:09.940455Z
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.