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Paper Citation Record · LEDGER

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling

As of 22 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2505.08487.

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

pith.paper-citation-record.v1
2505.08487 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:58:36.840769Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved3
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation efcee269-4956-4c62-a7e9-5620ee783c1e · outbound

This paper cites Surrogate models coupled with machine learning to approximate complex physical phenomena involving aerodynamic and aerothermal simulations.

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling Surrogate models coupled with machine learning to approximate complex physical phenomena involving aerodynamic and aerothermal simulations

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8ce093cd-7fa0-4541-9e14-e47e6a998bf9 · outbound

This paper cites Adaptive sampling strategies for non-intrusive pod-based surrogates.

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling Adaptive sampling strategies for non-intrusive pod-based surrogates

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:37.579128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 860b03a7-8201-45dd-8fee-0470698d8a95 · outbound

This paper cites Adaptive sampling using support vector machines.

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling Adaptive sampling using support vector machines

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a03c457a-9b0c-4b2f-95aa-25126361b02f · outbound

This paper cites An adaptive global variable fidelity metamodeling strategy using a support vector regression based scaling function.

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling An adaptive global variable fidelity metamodeling strategy using a support vector regression based scaling function

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:37.495255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 22792231-4665-46cf-a53e-ec1b49432f44 · outbound

This paper cites State-of-the-art and comparative review of adaptive sampling methods for kriging.

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling State-of-the-art and comparative review of adaptive sampling methods for kriging

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:37.480117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 103570e8-f95f-46b2-8f46-7dbf15ca89b5 · outbound

This paper cites A survey of adaptive sampling for global metamodeling in support of simulation-based complex engineering design.

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling A survey of adaptive sampling for global metamodeling in support of simulation-based complex engineering design

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a560de77-2552-4c10-80c4-3362d8201f21 · outbound

This paper cites An adaptive exploration-exploitation algorithm for constructing metamodels in random simulation using a novel sequential experimental design.

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling An adaptive exploration-exploitation algorithm for constructing metamodels in random simulation using a novel sequential experimental design

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:37.449784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1d8c2176-5cac-480a-8e86-789b6b3237e8 · outbound

This paper cites An adaptive sampling strategy for kriging metamodel based on delaunay triangulation and topsis.

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling An adaptive sampling strategy for kriging metamodel based on delaunay triangulation and topsis

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:36.710297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c75a01fc-4325-494c-ae99-cf66e4071a57 · outbound

This paper cites Triangulation of manifolds.

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling Triangulation of manifolds

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:37.313669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e8fafe7c-8af1-47d2-b457-dbbb0ffbea22 · outbound

This paper cites On c1-complexes.

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling On c1-complexes

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:37.298074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9cf5a500-7a3e-4b6c-b371-a78d1d6b85c5 · outbound

This paper cites Affine structures in 3-manifolds: V.

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling Affine structures in 3-manifolds: V

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation bdd2d950-ce3b-42da-87ec-2e7c1ef4b31e · outbound

This paper cites Über den begriff der riemannschen fläche.

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling Über den begriff der riemannschen fläche

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:37.267540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4c002227-6693-403e-8561-36bd8d7a3a62 · outbound

This paper cites The topology of four-dimensional manifolds.

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling The topology of four-dimensional manifolds

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:37.177401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fef4bc6c-98af-4ded-a315-90d6bc522085 · outbound

This paper cites On the triangulation of manifolds and the hauptvermutung.

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling On the triangulation of manifolds and the hauptvermutung

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:37.059514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:36.737999Z digest=sha256:0c37ebff0aa43906eb3f11ad6ca189d5ded50bfc2105cb0aa0b82b1ddecc1029

Observation 9a577220-42be-45b1-931e-55311804ef34 · outbound

This paper cites Delaunay triangulation of manifolds.

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling Delaunay triangulation of manifolds

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:37.044237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7ca0c1b5-3db5-4f60-addd-8596451bcec9 · outbound

This paper cites Visualizing data using t-sne.

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling Visualizing data using t-sne

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:37.028122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 376e069e-e2c7-4593-a936-657b604c5b90 · outbound

This paper cites Nonlinear dimensionality reduction by locally linear embedding.

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling Nonlinear dimensionality reduction by locally linear embedding

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:36.751212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9db228f3-b790-4ad4-91b8-ee66d428a7ee · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:36.793822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fc1785cc-b7ca-4621-90d1-0545533a517b · outbound

This paper cites Mathematical analysis of goldstein’s model for time-harmonic acoustics in flows.

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling Mathematical analysis of goldstein’s model for time-harmonic acoustics in flows

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:36.952502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Pith citing papers

No inbound Pith citation observations are available.