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Paper Citation Record · LEDGER

Invariant Physics-Informed Neural Networks for Ordinary Differential Equations

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.17053.

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

pith.paper-citation-record.v1
2310.17053 v2

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:34:33.502789Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T19:19:49.845911Z

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 220b14aa-b6f6-48f6-9e0d-226b8d5d46cf · inbound

Efficient PINNs via Multi-Head Unimodular Regularization of the Solutions Space cites this paper.

Efficient PINNs via Multi-Head Unimodular Regularization of the Solutions Space Invariant Physics-Informed Neural Networks for Ordinary Differential Equations

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T17:34:33.502789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:34:33.502789Z digest=sha256:6811edb31f619a97f03316621651d3ed8d4af2a8ca6fc720c4079856d85e754e

Observation c772b126-ffba-47f2-8508-613c12a530ed · inbound

Generalized Lie Symmetries in Physics-Informed Neural Operators cites this paper.

Generalized Lie Symmetries in Physics-Informed Neural Operators Invariant Physics-Informed Neural Networks for Ordinary Differential Equations

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-09T19:19:49.850605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T19:19:49.500067Z digest=sha256:e9201c56aa9eb96c40985edc79ee57e6cfd1c59982a7064f81356b4abfed4728