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Paper Citation Record · LEDGER

DON-LSTM: Multi-Resolution Learning with DeepONets and Long Short-Term Memory Neural Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.02491.

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

pith.paper-citation-record.v1
2310.02491 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:05:34.003360Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:51:03.990191Z

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 b9b8e95b-6bbb-41aa-b7e7-aa2827d7bc68 · inbound

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs cites this paper.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs DON-LSTM: Multi-Resolution Learning with DeepONets and Long Short-Term Memory Neural Networks

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T20:05:34.003360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:05:34.003360Z digest=sha256:00760173d6c29d01c51181531820471ccd25c0bddbce35a9fac7c5a11077da6f

Observation 8c1c1b6f-dd7c-4959-8907-3ff50b7e0344 · inbound

AI models of unstable flow exhibit hallucination cites this paper.

AI models of unstable flow exhibit hallucination DON-LSTM: Multi-Resolution Learning with DeepONets and Long Short-Term Memory Neural Networks

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:51:03.996357Z

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=2026-05-09T23:58:31.542786Z digest=sha256:1bf1589062ce6522f77e5d0f14c73471f80488a2eb0878e232003bd108d6c364