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Paper Citation Record · LEDGER

NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2208.11866.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2208.11866 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:57:54.991817Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T11:44:50.766400Z

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 b97ff677-9216-41e2-9a8b-a07c33c5bab7 · inbound

JaxSGMC: Modular stochastic gradient MCMC in JAX cites this paper.

JaxSGMC: Modular stochastic gradient MCMC in JAX NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T20:57:54.991817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:57:54.991817Z digest=sha256:d7e94dadb0725478dcae70be3c7c9a293d238a3fa325e18a1db18b8ad5fcbdb6

Observation 23f1b339-1df5-4800-b807-5f35385c8e9d · inbound

LVM-GP: Uncertainty-Aware PDE Solver via coupling latent variable model and Gaussian process cites this paper.

LVM-GP: Uncertainty-Aware PDE Solver via coupling latent variable model and Gaussian process NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:44:50.868623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T11:44:49.195781Z digest=sha256:b20ab6b35702297a46784497c78f145724b1574c85d39f8e3d641ef16d7be045