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Paper Citation Record · LEDGER

FBSJNN: A Theoretically Interpretable and Efficiently Deep Learning method for Solving Partial Integro-Differential Equations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.11010.

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

pith.paper-citation-record.v1
2412.11010 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:53:38.043720Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:01:08.760205Z

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 b4da9aa1-3887-4b2c-b749-acfad9b9e2bf · inbound

Recurrent Neural Operators: Stable Long-Term PDE Prediction cites this paper.

Recurrent Neural Operators: Stable Long-Term PDE Prediction FBSJNN: A Theoretically Interpretable and Efficiently Deep Learning method for Solving Partial Integro-Differential Equations

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:38.043720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:38.043720Z digest=sha256:6d1fadd94df31c831fccc2d8207fa39e8a523b805107b002150f5b2dedbf2911

Observation ed8636e2-80a8-425d-89bd-e4b5aa578be3 · inbound

INEUS: Iterative Neural Solver for High-Dimensional PIDEs cites this paper.

INEUS: Iterative Neural Solver for High-Dimensional PIDEs FBSJNN: A Theoretically Interpretable and Efficiently Deep Learning method for Solving Partial Integro-Differential Equations

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:01:08.786062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T13:10:26.971455Z digest=sha256:666f5375d1ae384c7a990ae1f21a3dca3f512254e8cefada8a0b6a875661cb6d