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Paper Citation Record · LEDGER

Multi-fidelity Learning of Reduced Order Models for Parabolic PDE Constrained Optimization

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.21252.

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

pith.paper-citation-record.v1
2503.21252 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:24:26.452114Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

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 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7fe88b07-afb2-49a0-847f-770ec753b8e2 · inbound

Adaptive Reduced Basis Trust Region Methods for Parabolic Inverse Problems cites this paper.

Adaptive Reduced Basis Trust Region Methods for Parabolic Inverse Problems Multi-fidelity Learning of Reduced Order Models for Parabolic PDE Constrained Optimization

Reference 61

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T17:24:27.328451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:24:26.452114Z digest=sha256:f788511f5bed54e7246bde898e3169cdc8660d40a325bb774cc811290c08b93b

Observation 49e257cc-064a-4fd4-9be2-cf9da5955b1d · inbound

Multifidelity-Augmented Gaussian Process Inputs for Surrogate Modeling from Scarce Data cites this paper.

Multifidelity-Augmented Gaussian Process Inputs for Surrogate Modeling from Scarce Data Multi-fidelity Learning of Reduced Order Models for Parabolic PDE Constrained Optimization

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-13T20:27:45.196743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T20:27:45.196743Z digest=sha256:b4297a3946706739efec4b014780522846dbce63fe92588cefa52102c3f6c0c0