Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:52:33.189731Z
Paper Citation Record · LEDGER
A trust-region framework for optimization using Hermite kernel surrogate models
As of 11 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2507.01729.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:24:25.917895Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T05:30:23.456663Z
Reference resolution
31 of 31 outbound references displayed
- verified exact0
- verified fuzzy24
- unresolved6
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
0
pith, observed 2026-08-10T05:30:23.456663Z
Outbound references
Observation 77488d7e-4890-49aa-810f-35d0aab38aa8 · outbound
This paper cites Kamat, and Layne T.
A trust-region framework for optimization using Hermite kernel surrogate models Kamat, and Layne T
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:38.530419Z
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.
Observation d634e57d-71db-4551-9461-8b494903aa5e · outbound
This paper cites an unresolved cited work.
A trust-region framework for optimization using Hermite kernel surrogate models Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:52:38.240116Z
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.
Observation 747b228f-0eb2-4c33-ac85-77e486414d4e · outbound
This paper cites Electron Correlation in Molecules Using Direct Second Order MCSCF, pages 179–206.
A trust-region framework for optimization using Hermite kernel surrogate models Electron Correlation in Molecules Using Direct Second Order MCSCF, pages 179–206
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:38.053083Z
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.
Observation b7a98f29-bfcd-4235-a9d4-6b5c9a8534cc · outbound
This paper cites Maximum loss for risk measurement of portfolios.
A trust-region framework for optimization using Hermite kernel surrogate models Maximum loss for risk measurement of portfolios
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:37.905952Z
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.
Observation 8c39320d-cad6-4a59-8068-bd92b329bc03 · outbound
This paper cites an unresolved cited work.
A trust-region framework for optimization using Hermite kernel surrogate models Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:52:37.700318Z
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.
Observation 5e871ec2-8ec0-4592-820d-10f5f4df15d0 · outbound
This paper cites Alexandrov, J.
A trust-region framework for optimization using Hermite kernel surrogate models Alexandrov, J
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:37.532659Z
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.
Observation bf55412e-86a0-4493-81ac-95d1ddc135d6 · outbound
This paper cites Conn, Nicholas I.
A trust-region framework for optimization using Hermite kernel surrogate models Conn, Nicholas I
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:37.426922Z
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.
Observation ffe4836f-0f5f-49a9-9c2e-707f28200a34 · outbound
This paper cites A non-conforming dual approach for adaptive trust-region reduced basis approximation of PDE-constrained parameter optimization.
A trust-region framework for optimization using Hermite kernel surrogate models A non-conforming dual approach for adaptive trust-region reduced basis approximation of PDE-constrained parameter optimization
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:37.195715Z
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.
Observation 92c455cd-5a60-4c09-807b-c0e2484a816e · outbound
This paper cites A certified trust region reduced basis approach to PDE-constrained optimization.SIAM J.
A trust-region framework for optimization using Hermite kernel surrogate models A certified trust region reduced basis approach to PDE-constrained optimization.SIAM J
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:37.045392Z
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.
Observation 4ad17921-9b24-4807-b903-c15fa180b9ac · outbound
This paper cites an unresolved cited work.
A trust-region framework for optimization using Hermite kernel surrogate models Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:52:36.866251Z
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.
Observation 5b63f46d-24bf-4052-8717-f5d970119cb4 · outbound
This paper cites Accelerating optimization of parametric linear systems by model order reduction.
A trust-region framework for optimization using Hermite kernel surrogate models Accelerating optimization of parametric linear systems by model order reduction
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:36.620318Z
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.
Observation da42831c-248f-4c3b-9c24-fb57ee37a99a · outbound
This paper cites Adaptive reduced basis trust region methods for parameter identification problems.Comput.
A trust-region framework for optimization using Hermite kernel surrogate models Adaptive reduced basis trust region methods for parameter identification problems.Comput
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:36.469005Z
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.
Observation 0ed03032-4eb6-45b5-9314-1173a18b3f4b · outbound
This paper cites Scattered Data Approximation.
A trust-region framework for optimization using Hermite kernel surrogate models Scattered Data Approximation
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:36.290234Z
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.
Observation 570bf9ef-3e24-4478-9b6d-2e0661dcfe57 · outbound
This paper cites Carlberg, Antony Jameson, Mykel J.
A trust-region framework for optimization using Hermite kernel surrogate models Carlberg, Antony Jameson, Mykel J
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:36.172043Z
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.
Observation e9c6da26-dda3-4b3e-8844-acef2cb85065 · outbound
This paper cites Gaussian Process Regression for minimum energy path optimization and transition state search.J.
A trust-region framework for optimization using Hermite kernel surrogate models Gaussian Process Regression for minimum energy path optimization and transition state search.J
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:35.914008Z
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.
Observation b1d3c63b-b447-4597-98a5-d2d234cf4e95 · outbound
This paper cites Goal- Oriented Two-Layered Kernel Models as Automated Surrogates for Surface Kinetics in Reactor Simulations.
A trust-region framework for optimization using Hermite kernel surrogate models Goal- Oriented Two-Layered Kernel Models as Automated Surrogates for Surface Kinetics in Reactor Simulations
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:35.716219Z
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.
Observation b1071e5f-d3c8-4237-9069-5e44af0f364c · outbound
This paper cites Smola.Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond.
A trust-region framework for optimization using Hermite kernel surrogate models Smola.Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:35.471041Z
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.
Observation 2ef666a1-7636-4fca-9fd1-195f65eb6e24 · outbound
This paper cites Springer, New York, NY, 2008.
A trust-region framework for optimization using Hermite kernel surrogate models Springer, New York, NY, 2008
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:35.246330Z
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.
Observation d6499eb3-1154-4b67-a8f4-e4887fcc6dcd · outbound
This paper cites Hermite kernel surrogates for the value function of high-dimensional nonlinear optimal control problems.Adv.
A trust-region framework for optimization using Hermite kernel surrogate models Hermite kernel surrogates for the value function of high-dimensional nonlinear optimal control problems.Adv
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:35.029868Z
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.
Observation 35640ebf-9bb1-4cad-bebd-99e1d7a57617 · outbound
This paper cites Fasshauer and Qi Ye.
A trust-region framework for optimization using Hermite kernel surrogate models Fasshauer and Qi Ye
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:34.764144Z
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.
Observation e74d86ce-ea77-4bd0-85f9-7236adacb134 · outbound
This paper cites an unresolved cited work.
A trust-region framework for optimization using Hermite kernel surrogate models Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:52:34.592478Z
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.
Observation 3628b430-e1c7-43f7-bd6d-80c43550a011 · outbound
This paper cites an unresolved cited work.
A trust-region framework for optimization using Hermite kernel surrogate models Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:52:34.388167Z
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.
Observation 4f8579aa-2f9c-42b5-9bd7-4935b453fed2 · outbound
This paper cites A new approach to variable metric algorithms.Comput.
A trust-region framework for optimization using Hermite kernel surrogate models A new approach to variable metric algorithms.Comput
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:34.245086Z
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.
Observation 321f4875-0d36-4ff1-921b-3aae51f5fb1a · outbound
This paper cites A family of variable-metric methods derived by variational means.Math.
A trust-region framework for optimization using Hermite kernel surrogate models A family of variable-metric methods derived by variational means.Math
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:34.078900Z
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.
Observation fb5cab0d-8b3b-47ac-954c-8448948962c6 · outbound
This paper cites an unresolved cited work.
A trust-region framework for optimization using Hermite kernel surrogate models Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:52:33.938965Z
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.
Observation e82ad365-08dd-4893-9196-5664c82b6323 · outbound
This paper cites Byrd, Mary E.
A trust-region framework for optimization using Hermite kernel surrogate models Byrd, Mary E
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:33.799837Z
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.
Observation 323b21bf-1571-400a-b9b3-1ec04e69e0e3 · outbound
This paper cites A software package for sequential quadratic programming.
A trust-region framework for optimization using Hermite kernel surrogate models A software package for sequential quadratic programming
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:33.696631Z
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.
Observation 7e08a7dd-8eec-4ec7-8910-29edae88ca9a · outbound
This paper cites Byrd, Peihuang Lu, Jorge Nocedal, and Ciyou Zhu.
A trust-region framework for optimization using Hermite kernel surrogate models Byrd, Peihuang Lu, Jorge Nocedal, and Ciyou Zhu
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:33.588160Z
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.
Observation 1bea7ef7-bb54-4499-8250-2404fc76786c · outbound
This paper cites Byrd, Peihuang Lu, and Jorge Nocedal.
A trust-region framework for optimization using Hermite kernel surrogate models Byrd, Peihuang Lu, and Jorge Nocedal
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:33.467587Z
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.
Observation d457974d-6b69-4e9a-9299-2d8f1458399d · outbound
This paper cites pyMOR – Generic algorithms and interfaces for Model Order Reduction.SIAM J.
A trust-region framework for optimization using Hermite kernel surrogate models pyMOR – Generic algorithms and interfaces for Model Order Reduction.SIAM J
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:52:33.396551Z
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.
Observation aee63d57-03b4-4003-a361-c28f35dac19a · outbound
This paper cites A new certified hierarchical and adaptive RB-ML-ROM surrogate model for parametrized PDEs.
A trust-region framework for optimization using Hermite kernel surrogate models A new certified hierarchical and adaptive RB-ML-ROM surrogate model for parametrized PDEs
Reference 31
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-06T20:52:33.311066Z
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.
Pith citing papers
Observation 5a260de1-0c1f-41e1-b1b4-2008195a6f53 · inbound
Adaptive Reduced Basis Trust Region Methods for Parabolic Inverse Problems cites this paper.
Adaptive Reduced Basis Trust Region Methods for Parabolic Inverse Problems A trust-region framework for optimization using Hermite kernel surrogate models
Reference 54
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T17:24:28.263756Z
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.