Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Probabilistic neural operators for functional uncertainty quantification
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.12902.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T13:15:41.671130Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T10:09:45.094545Z
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 b594dd9d-80f2-41c3-bdaa-6368cc62f9e7 · inbound
Locally Adaptive Conformal Inference for Operator Models cites this paper.
Locally Adaptive Conformal Inference for Operator Models Probabilistic neural operators for functional uncertainty quantification
Reference 2004
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:15:41.671130Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b423f21f-e1c5-4967-80de-b729b73ace93 · inbound
Operator learning for the 2D incompressible Navier-Stokes equations: a conformal prediction approach in the data-scarce regime cites this paper.
Operator learning for the 2D incompressible Navier-Stokes equations: a conformal prediction approach in the data-scarce regime Probabilistic neural operators for functional uncertainty quantification
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T22:47:25.759072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 62e6d2be-b8be-481c-bf21-1a5407a0898c · inbound
Neural Operator Processes for Probabilistic Operator Learning under Partial Observations cites this paper.
Neural Operator Processes for Probabilistic Operator Learning under Partial Observations Probabilistic neural operators for functional uncertainty quantification
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T10:09:45.095964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.