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Paper Citation Record · LEDGER

Deep Euler method: solving ODEs by approximating the local truncation error of the Euler method

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2003.09573.

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

pith.paper-citation-record.v1
2003.09573 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:08:15.107177Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T09:39:17.202421Z

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 75b35a7d-462c-4c1d-8b99-23b3c26e46aa · inbound

Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations cites this paper.

Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations Deep Euler method: solving ODEs by approximating the local truncation error of the Euler method

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-24T09:39:17.205903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-24T09:36:59.102360Z digest=sha256:d527122ad39bbd1859e83bc376f71de18b37c5daf2fb16ca3927f7256079933d

Observation 134f21dc-b06f-4f8e-8505-a92e4a378ce3 · inbound

Learning Epidemiological Dynamics via the Finite Expression Method cites this paper.

Learning Epidemiological Dynamics via the Finite Expression Method Deep Euler method: solving ODEs by approximating the local truncation error of the Euler method

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T23:08:15.107177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:08:15.107177Z digest=sha256:b9c331a86302da37238bf2de140b64058e02642cbb933c60c667b79911de0863