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Paper Citation Record · LEDGER

Nonlinear integro-differential operator regression with neural networks

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1810.08552.

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

pith.paper-citation-record.v1
1810.08552 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:25:11.143041Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:11:12.839363Z

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 edb3a5fe-c420-4251-b3ed-ce51e48dcd57 · inbound

Mixture of neural operator experts for learning boundary conditions and model selection cites this paper.

Mixture of neural operator experts for learning boundary conditions and model selection Nonlinear integro-differential operator regression with neural networks

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T22:25:11.143041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:25:11.143041Z digest=sha256:1693d812b74b9c7e6263ff92d2eb5460682bee98d3c8769150990f9925b8bf66

Observation 50956e06-b4cb-4e66-9760-dacc57b56240 · inbound

Enabling Real-Time Training of a Wildfire-to-Smoke Map with Multilinear Operators cites this paper.

Enabling Real-Time Training of a Wildfire-to-Smoke Map with Multilinear Operators Nonlinear integro-differential operator regression with neural networks

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-07-04T23:08:24.943612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-08T17:50:21.494867Z digest=sha256:aa19cdc400aa18f49cd2c84c7d6461094cf6bbbe284182e37269b2349911605f