Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2212.07328.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:38:05.874881Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T05:59:38.341741Z
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 44bbd35a-42b1-4955-bbfc-f68bdba8ff08 · inbound
DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model cites this paper.
DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:38:05.874881Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0fa9f13-68c1-4eea-9a92-bf2e59e845f9 · inbound
Information-Theoretic Optimization for Task-Adapted Compressed Sensing Magnetic Resonance Imaging cites this paper.
Information-Theoretic Optimization for Task-Adapted Compressed Sensing Magnetic Resonance Imaging Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:16:10.704767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 53e6a70d-a633-4954-bbd5-1d349ca4c2fb · inbound
Neural Architecture Distributions: A New Paradigm for Stochastic Segmentation cites this paper.
Neural Architecture Distributions: A New Paradigm for Stochastic Segmentation Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T05:59:38.344107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.