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Paper Citation Record · LEDGER

A Mini-Batch Method for Solving Nonlinear PDEs with Gaussian Processes

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.00307.

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

pith.paper-citation-record.v1
2306.00307 v3

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T23:42:20.720458Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T16:01:45.811584Z

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 dc2fd556-2739-4864-bbd2-dbaa763c1bb8 · inbound

Solving Nonlinear PDEs with Sparse Radial Basis Function Networks cites this paper.

Solving Nonlinear PDEs with Sparse Radial Basis Function Networks A Mini-Batch Method for Solving Nonlinear PDEs with Gaussian Processes

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-22T16:01:45.815246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T16:00:51.328144Z digest=sha256:fc568be46c2df46776787d7614ba2ed8daea69566e9adf9c9bc6f211e74bef8d

Observation add8763f-bdc6-4d8c-a886-0ee6afb5d03b · inbound

A Globally Convergent Flow for Time-Dependent Mean Field Games and a Solver-Agnostic Framework for Inverse Problems cites this paper.

A Globally Convergent Flow for Time-Dependent Mean Field Games and a Solver-Agnostic Framework for Inverse Problems A Mini-Batch Method for Solving Nonlinear PDEs with Gaussian Processes

Reference 57

Resolution
unresolved
no resolver link, observed 2026-07-14T23:42:20.720458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T23:42:20.720458Z digest=sha256:959b96658638a5d9ce95b0eeaf151448f7c6eb72e096309634a47213ffb57c8e