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Paper Citation Record · LEDGER

Learning Physical Operators using Neural Operators

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2602.23113.

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

pith.paper-citation-record.v1
2602.23113 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T18:00:55.330564Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation af15d1a7-2a55-4ff4-9ef9-9deaeccff5c8 · inbound

Large-eddy simulation nets (LESnets) based on physics-informed neural operator for wall-bounded turbulence cites this paper.

Large-eddy simulation nets (LESnets) based on physics-informed neural operator for wall-bounded turbulence Learning Physical Operators using Neural Operators

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-05-09T04:00:13.278208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T10:58:07.460227Z digest=sha256:a95505275eb373cdf6e7407cbda751ebc945be8371afaeda1e32c3624af62520

Observation 8a1ca6ab-7b6e-47f7-bfe2-3995b14ea201 · inbound

HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs cites this paper.

HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Learning Physical Operators using Neural Operators

Reference 29

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T16:16:10.780734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T18:00:55.330564Z digest=sha256:145975b515d77c245d2cc2e4b23282778e58b2d461e8aea11221421608ff487a