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Paper Citation Record · LEDGER

Analytical Benchmark Problems for Multifidelity Optimization Methods

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.07867.

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

pith.paper-citation-record.v1
2204.07867 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:53:35.871279Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T04:17:01.270446Z

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 2ababb0d-171a-467c-ab06-1dac5de8adb0 · inbound

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy cites this paper.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Analytical Benchmark Problems for Multifidelity Optimization Methods

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:35.871279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:35.871279Z digest=sha256:fe60bec99a19c4585d9d0baa73ac470220afad664227a83e88bbe8ac353745e7

Observation e124132c-1697-432b-ab25-0109db140eac · inbound

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling cites this paper.

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling Analytical Benchmark Problems for Multifidelity Optimization Methods

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-06T04:17:01.311966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T04:17:01.066803Z digest=sha256:2ebba4263c87d4397c03c2882a104397fc672b7779bce6c08eddb5413893eaa1