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Paper Citation Record · LEDGER

Gray-Box Optimization using Optimism in the Face of Uncertainty

As of 31 July 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2606.17726.

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

pith.paper-citation-record.v1
2606.17726 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T23:48:36.494872Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-31T06:34:12.847434+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

31 of 31 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved26
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ea9ae5d3-22c9-4922-a088-46fbd7124651 · outbound

This paper cites Improved algorithms for linear stochastic bandits.

Gray-Box Optimization using Optimism in the Face of Uncertainty Improved algorithms for linear stochastic bandits

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c8bb8aa4-cb33-4861-b741-bf1e740cab83 · outbound

This paper cites Associative reinforcement learning using linear probabilistic concepts.

Gray-Box Optimization using Optimism in the Face of Uncertainty Associative reinforcement learning using linear probabilistic concepts

Reference 2

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Observation 2610e836-5163-46ed-96ff-b6279d18b9e7 · outbound

This paper cites Bayesian optimization of composite functions.

Gray-Box Optimization using Optimism in the Face of Uncertainty Bayesian optimization of composite functions

Reference 3

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Observation 5e8f6a50-95a5-4cb5-b8ef-af1d27b45373 · outbound

This paper cites Thinking inside the box: A tutorial on grey-box bayesian optimization.

Gray-Box Optimization using Optimism in the Face of Uncertainty Thinking inside the box: A tutorial on grey-box bayesian optimization

Reference 4

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Observation db2b9c96-abbd-413d-90eb-17f2d9f71df8 · outbound

This paper cites Using confidence bounds for exploitation-exploration trade-offs.

Gray-Box Optimization using Optimism in the Face of Uncertainty Using confidence bounds for exploitation-exploration trade-offs

Reference 5

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Observation b2fc84e8-376e-41de-9262-a31b9dad2268 · outbound

This paper cites Botorch: A framework for efficient monte-carlo bayesian optimization.

Gray-Box Optimization using Optimism in the Face of Uncertainty Botorch: A framework for efficient monte-carlo bayesian optimization

Reference 6

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Observation c23d217a-a706-4bb5-ab06-c10ef125602d · outbound

This paper cites an unresolved cited work.

Gray-Box Optimization using Optimism in the Face of Uncertainty Unresolved cited work

Reference 7

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Observation 3ac1b767-7056-49fc-9bf2-f02e1ba1cddd · outbound

This paper cites Safe controller optimization for quadrotors with gaussian processes.

Gray-Box Optimization using Optimism in the Face of Uncertainty Safe controller optimization for quadrotors with gaussian processes

Reference 8

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source=arxiv_source observed=2026-06-26T23:48:36.494872Z digest=sha256:bd49396eb470267fd44b80ff52a19c5e94e20afa7bbae0a425e3efe73e1c2626

Observation a220c79a-a722-49eb-8b57-3803a69fa7d8 · outbound

This paper cites Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics.

Gray-Box Optimization using Optimism in the Face of Uncertainty Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics

Reference 9

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Observation 02965a01-e0b3-465a-817a-f770888e9ac6 · outbound

This paper cites IEEE Control Systems Magazine 26(3): 96--114.

Gray-Box Optimization using Optimism in the Face of Uncertainty IEEE Control Systems Magazine 26(3): 96--114

Reference 10

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arxiv_id, observed 2026-06-26T23:50:15.194857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

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Observation ad59fb40-c1b2-4abe-a4cb-1c08792bf673 · outbound

This paper cites A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning.

Gray-Box Optimization using Optimism in the Face of Uncertainty A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

Reference 11

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local_arxiv, observed 2026-07-03T22:08:58.970117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

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Observation 010ff454-2b82-43a4-8918-18752a4281e5 · outbound

This paper cites Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems.

Gray-Box Optimization using Optimism in the Face of Uncertainty Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-03T22:08:58.961584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

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Observation 32c8a7d5-f703-446e-977c-ee3e05f20743 · outbound

This paper cites No-regret algorithms for multi-task bayesian optimization.

Gray-Box Optimization using Optimism in the Face of Uncertainty No-regret algorithms for multi-task bayesian optimization

Reference 13

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Observation d8737014-06d8-4327-9c51-ef6f7d20db81 · outbound

This paper cites Stochastic linear optimization under bandit feedback.

Gray-Box Optimization using Optimism in the Face of Uncertainty Stochastic linear optimization under bandit feedback

Reference 14

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Observation d6f6c389-7220-4312-944a-fb3401cf5923 · outbound

This paper cites BOHB : Robust and efficient hyperparameter optimization at scale.

Gray-Box Optimization using Optimism in the Face of Uncertainty BOHB : Robust and efficient hyperparameter optimization at scale

Reference 15

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Observation 67d59c7e-7abf-4cca-aae7-8ec596a1e0f4 · outbound

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Gray-Box Optimization using Optimism in the Face of Uncertainty Unresolved cited work

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T23:48:36.494872Z digest=sha256:ecdb5320bf8254e47b7886ba2bb549cdff3f89b303bf2684be236815938feaac

Observation 40b739e5-7f79-49d5-9243-31723cda69dc · outbound

This paper cites Filatov and Heinz Unbehauen.

Gray-Box Optimization using Optimism in the Face of Uncertainty Filatov and Heinz Unbehauen

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation aaf1277a-7cb2-4f46-bebb-d226eae2291f · outbound

This paper cites Parametric bandits: The generalized linear case.

Gray-Box Optimization using Optimism in the Face of Uncertainty Parametric bandits: The generalized linear case

Reference 18

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Observation a6badd1a-ebb0-4b59-99bc-5945a35e5647 · outbound

This paper cites An implicit and explicit dual model predictive control formulation for a steel recycling process.

Gray-Box Optimization using Optimism in the Face of Uncertainty An implicit and explicit dual model predictive control formulation for a steel recycling process

Reference 19

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Observation 321ba962-6622-4aee-8f99-95ee94b871fc · outbound

This paper cites Efficient performance-based MPC tuning in high dimensions using bayesian optimization over sparse subspaces.

Gray-Box Optimization using Optimism in the Face of Uncertainty Efficient performance-based MPC tuning in high dimensions using bayesian optimization over sparse subspaces

Reference 20

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Observation c85d3da8-2e91-41e0-be68-045b01239126 · outbound

This paper cites Bandit algorithms.

Gray-Box Optimization using Optimism in the Face of Uncertainty Bandit algorithms

Reference 21

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Observation 6cae981b-d671-456b-9edc-6bd7eac4dba9 · outbound

This paper cites A contextual-bandit approach to personalized news article recommendation.

Gray-Box Optimization using Optimism in the Face of Uncertainty A contextual-bandit approach to personalized news article recommendation

Reference 22

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Unavailable: canonical work link unavailable.

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Observation 5a505ce6-9a7c-46af-b74a-37317d0fef20 · outbound

This paper cites Modifier-adaptation methodology for real-time optimization.

Gray-Box Optimization using Optimism in the Face of Uncertainty Modifier-adaptation methodology for real-time optimization

Reference 23

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Observation d70203cd-6ee0-4e7a-8235-8121aa8500ea · outbound

This paper cites The application of B ayesian methods for seeking the extremum.

Gray-Box Optimization using Optimism in the Face of Uncertainty The application of B ayesian methods for seeking the extremum

Reference 24

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Observation 5836939f-e0a5-4207-950a-749f4a5046af · outbound

This paper cites Generalized linear models.

Gray-Box Optimization using Optimism in the Face of Uncertainty Generalized linear models

Reference 25

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Observation ad887309-30d7-4f94-8c5d-5341a8565e01 · outbound

This paper cites Cobalt: Constrained bayesian optimization of computationally expensive grey-box models exploiting derivative information.

Gray-Box Optimization using Optimism in the Face of Uncertainty Cobalt: Constrained bayesian optimization of computationally expensive grey-box models exploiting derivative information

Reference 26

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Observation cff5e862-f1ec-422f-9026-7275cb0e196c · outbound

This paper cites Linearly parameterized bandits.

Gray-Box Optimization using Optimism in the Face of Uncertainty Linearly parameterized bandits

Reference 27

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T23:48:36.494872Z digest=sha256:e50bbe2d9544dd4b2004b8237bc4ad16dd6efc51c83b53dfb49a5caef6727289

Observation 782707e7-d518-448b-8e9b-76b00718911c · outbound

This paper cites Schoellig, Fabian L.

Gray-Box Optimization using Optimism in the Face of Uncertainty Schoellig, Fabian L

Reference 28

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Unavailable: canonical work link unavailable.

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Observation 085bd396-91ca-4475-9b93-7d5591352d87 · outbound

This paper cites Finite-sample bounds for multi-output system identification.

Gray-Box Optimization using Optimism in the Face of Uncertainty Finite-sample bounds for multi-output system identification

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-03T22:08:58.965815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

source=arxiv_source observed=2026-06-26T23:48:36.494872Z digest=sha256:4b8d651a563ccf893e469a24a7f3754124cf64557d4bd50997a32e3af5dd85b9

Observation a2d48cb7-4466-4e7f-a2cd-4c175a0e6b29 · outbound

This paper cites Volckaert, J.

Gray-Box Optimization using Optimism in the Face of Uncertainty Volckaert, J

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 80ff8289-dff0-4f93-8e39-dbd79dbbf3b4 · outbound

This paper cites Bayesian Optimization with Structured Measurements: A Vector-Valued RKHS Framework.

Gray-Box Optimization using Optimism in the Face of Uncertainty Bayesian Optimization with Structured Measurements: A Vector-Valued RKHS Framework

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-07-03T22:08:58.976578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

source=arxiv_source observed=2026-06-26T23:48:36.494872Z digest=sha256:fff54c3c61e63daf606402477cec6f3fd73b36a40e7673d382d5e08a7e54746b

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