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Paper Citation Record · LEDGER

IAE-Net: Integral Autoencoders for Discretization-Invariant Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.05142.

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

pith.paper-citation-record.v1
2203.05142 v3

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:02:03.517042Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T10:24:36.153507Z

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 c20e4211-9c9c-492b-8768-ce13a917b166 · inbound

Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery cites this paper.

Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery IAE-Net: Integral Autoencoders for Discretization-Invariant Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:03.517042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:02:03.517042Z digest=sha256:32ba06442fed1f907c8e42d3c8f2432a379c7688d55063f711c1e5c181a8f409

Observation 5b16f46c-8332-4fa8-8b4a-c4cf797a2e78 · inbound

Error analysis for learning the time-stepping operator of evolutionary PDEs cites this paper.

Error analysis for learning the time-stepping operator of evolutionary PDEs IAE-Net: Integral Autoencoders for Discretization-Invariant Learning

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-05T10:24:36.160672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T10:24:35.898824Z digest=sha256:f7b554236937678ae698f750589415abf9831e423ddaf1bc92ed0f4e05548169