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Paper Citation Record · LEDGER

Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective

As of 13 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2411.18095.

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

pith.paper-citation-record.v1
2411.18095 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:33:55.354750Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b670009c-5b5d-4719-b7fc-d5d4fc9c2ba1 · outbound

This paper cites an unresolved cited work.

Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:33:55.456000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T11:33:55.323586Z digest=sha256:59b309b9fac8e981af44dd6b64ef185fee1667b4c66ce02d3ec5b890ad55775a

Observation 2423e864-959c-4cb0-897d-38db6af6f9d0 · outbound

This paper cites an unresolved cited work.

Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:33:55.447508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T11:33:55.326541Z digest=sha256:f165991b2918b6cafcfa56c6e0cf842f2db63b816734ec1d05ddeeb98dc5e04e

Observation 749c279e-c756-4e9c-8422-9bd0b0888e95 · outbound

This paper cites an unresolved cited work.

Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:33:55.437948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T11:33:55.329222Z digest=sha256:c212bd106a9890a11eca332e2f49c96c4f344b52e09f991337f8231c71df1154

Observation e2ed5116-23e6-4b17-bbb5-e83eea9387ec · outbound

This paper cites an unresolved cited work.

Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T11:33:55.331772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:33:55.331772Z digest=sha256:c0694e1f8036f517964114fe5533a68e203a63d515c60a63d776d97b51f63350

Observation f8a0a4e0-0935-4922-9be2-a70ea18fe02a · outbound

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

Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T11:33:55.334581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:33:55.334581Z digest=sha256:08aa8f93c31601ac328caaa5ba5854db8fd512e15297a6c431bbb659a6e02d9b

Observation 6ccbe79c-bced-4b54-a2dc-27e3442af6dd · outbound

This paper cites an unresolved cited work.

Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T11:33:55.337522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:33:55.337522Z digest=sha256:101ad9fbf5138774a79700da6bd50cd71a6abb533b94e7fd6d838d916f559f7b

Observation 2d41e0bb-f97b-485a-a464-dc0e8f66fad5 · outbound

This paper cites an unresolved cited work.

Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:33:55.419475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T11:33:55.340717Z digest=sha256:617c45f9b7bde50523a927a07355d5de30f13b52be160c6a39d5e0f7a4f6405a

Observation 81e4c2c7-c34f-4602-85ea-4dff0e286203 · outbound

This paper cites an unresolved cited work.

Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:33:55.411184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T11:33:55.343501Z digest=sha256:11c0299e029246a9a3cf162f499b41d51b53765f036f2545d62431482030cf04

Observation 15437ac4-5b98-4c1b-82a8-bc3ba2e782a1 · outbound

This paper cites an unresolved cited work.

Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:33:55.402554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T11:33:55.346271Z digest=sha256:e5037041e5b755cc532cd3eefb47ccb33a6127d407fdfaabb7d1d6232beace38

Observation 04b3ecfd-6505-4355-baac-71df8dc60a79 · outbound

This paper cites an unresolved cited work.

Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T11:33:55.349203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:33:55.349203Z digest=sha256:2626a03d4da1ced8f96076802a8d1b9eacabdf00bb63200bbaa78a941b02b064

Observation 45801922-05f3-4424-82b5-46f660c11793 · outbound

This paper cites an unresolved cited work.

Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T11:33:55.351965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:33:55.351965Z digest=sha256:598fe1fb45a1be3919aca3afa9f2f84e361197b7321706c1b347572220e66ac3

Observation e84b33ea-200a-419d-be2e-126a00e2a1a6 · outbound

This paper cites Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance.

Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T11:33:55.354750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:33:55.354750Z digest=sha256:8364aa1ea76e2bc315324faae0c7aa117b57d7554de68a7e4edeedd9593cf6f7

Pith citing papers

No inbound Pith citation observations are available.