Paper Citation Record · LEDGER

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling

As of 23 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2508.03901.

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

pith.paper-citation-record.v1
2508.03901 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:17:01.154998Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

17 of 17 outbound references displayed

verified exact4
verified fuzzy10
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a4161eda-90b5-4ca3-8d62-1a360cccf823 · outbound

This paper cites Two-stage estimation and variance modeling for latency- constrained variational quantum algorithms,.

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling Two-stage estimation and variance modeling for latency- constrained variational quantum algorithms,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:17:03.956404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2c1004a4-2b4f-4677-9543-8b9aa279f7e8 · outbound

This paper cites Stochastic simulation- optimization framework for the design and assessment of renewable energy systems under uncertainty,.

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling Stochastic simulation- optimization framework for the design and assessment of renewable energy systems under uncertainty,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:17:03.825552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9ab5061e-d9ad-468c-b88f-78d2227ff8f6 · outbound

This paper cites Improved multi-fidelity simulation-based optimisa- tion: application in a digital twin shop floor,.

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling Improved multi-fidelity simulation-based optimisa- tion: application in a digital twin shop floor,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:17:03.669010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f1c8521f-44aa-495c-8f81-c3e7904187a9 · outbound

This paper cites Stochastic co-kriging for steady-state simulation metamodeling,.

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling Stochastic co-kriging for steady-state simulation metamodeling,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:17:03.499594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2e026310-0a6a-441d-a883-551944c84906 · outbound

This paper cites Multi-fidelity bayesian optimization: A review,.

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling Multi-fidelity bayesian optimization: A review,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T04:17:00.005697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa70a27e-4962-4d09-b2d9-1adc5d31df09 · outbound

This paper cites On the Effects of Heterogeneous Errors on Multi-fidelity Bayesian Optimization.

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling On the Effects of Heterogeneous Errors on Multi-fidelity Bayesian Optimization

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T04:17:01.837479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a3307427-4173-4a59-b427-fd4b253ce4ab · outbound

This paper cites ASTRO-DF: A class of adaptive sampling trust-region algorithms for derivative-free stochastic optimization,.

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling ASTRO-DF: A class of adaptive sampling trust-region algorithms for derivative-free stochastic optimization,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:17:03.315193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a540b034-e3d8-4b2d-b4dd-00a4d6c93298 · outbound

This paper cites an unresolved cited work.

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T04:17:03.133061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 66adb1c5-b2a2-4980-92d0-010586a172fd · outbound

This paper cites Adaptive Sampling-Based Bi-Fidelity Stochastic Trust Region Method for Derivative-Free Stochastic Optimization.

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling Adaptive Sampling-Based Bi-Fidelity Stochastic Trust Region Method for Derivative-Free Stochastic Optimization

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-06T04:17:01.648283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0949d2b7-15d5-45fd-81fc-8cea0d715ed4 · outbound

This paper cites Optimal model management for multifidelity monte carlo estimation,.

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling Optimal model management for multifidelity monte carlo estimation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:17:02.929984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 31265883-2fce-402f-b421-cfb0bdb87671 · outbound

This paper cites Complexity of Zeroth- and First-order Stochastic Trust-Region Algorithms.

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling Complexity of Zeroth- and First-order Stochastic Trust-Region Algorithms

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-06T04:17:01.459122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c4e73e1c-85af-45a6-b5ab-462bf704b61d · outbound

This paper cites Stochastic trust-region response-surface method (strong)—a new response-surface framework for simulation optimization,.

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling Stochastic trust-region response-surface method (strong)—a new response-surface framework for simulation optimization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:17:02.773811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 08492f04-8ffa-40e9-a8c6-ac918ea4259c · outbound

This paper cites Stochastic optimization using a trust-region method and random models,.

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling Stochastic optimization using a trust-region method and random models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:17:02.648233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 054c3e3d-a52b-4731-82a2-bbce7c9d00fb · outbound

This paper cites Nocedal and S.

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling Nocedal and S

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:17:02.493744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3ba85dda-573e-4104-81fb-f4a6dcbb9674 · outbound

This paper cites Simopt: A testbed for simulation-optimization experiments,.

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling Simopt: A testbed for simulation-optimization experiments,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:17:02.342258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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

This paper cites Analytical Benchmark Problems for Multifidelity Optimization Methods.

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 2026-08-23T06:30:58.430688+00:00.

Observation 16071dfc-e3e9-47a2-992a-1c51d967c381 · outbound

This paper cites an unresolved cited work.

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T04:17:02.137745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.