Paper Citation Record · LEDGER

Information Preserving Line Search via Bayesian Optimization

As of 11 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2507.15485.

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

pith.paper-citation-record.v1
2507.15485 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:37:30.661199Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

42 of 42 outbound references displayed

verified exact0
verified fuzzy34
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 21653365-081f-4d64-90b0-2b08b73421b9 · outbound

This paper cites Pacific Journal of mathematics16(1), 1–3 (1966).

Information Preserving Line Search via Bayesian Optimization Pacific Journal of mathematics16(1), 1–3 (1966)

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 276e6adf-d50a-4c78-b6f3-4a96c846b74d · outbound

This paper cites IMA journal of numerical analysis 8(1), 141–148 (1988).

Information Preserving Line Search via Bayesian Optimization IMA journal of numerical analysis 8(1), 141–148 (1988)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:32.003978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation adb5ceb3-b004-4d5e-b893-86848a4369f7 · outbound

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

Information Preserving Line Search via Bayesian Optimization A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:30.347072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92a536ba-b44a-441a-88a8-3f7847ba6c4c · outbound

This paper cites In: IEEE Interna- tional Conference on Systems, Man, and Cybernetics.

Information Preserving Line Search via Bayesian Optimization In: IEEE Interna- tional Conference on Systems, Man, and Cybernetics

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.971660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation df902ee2-b6aa-4042-87aa-a71f4b7ffb01 · outbound

This paper cites SIAM (1996).

Information Preserving Line Search via Bayesian Optimization SIAM (1996)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.938535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a1aa266a-a7e0-437b-bc3e-2ae74da6342a · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

Information Preserving Line Search via Bayesian Optimization In: Proceedings of the AAAI conference on artificial intelligence

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.908983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ac4eccb5-c674-4a49-9c45-875e1717364b · outbound

This paper cites John Wiley & Sons (2008).

Information Preserving Line Search via Bayesian Optimization John Wiley & Sons (2008)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.882686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bc661dec-221e-4743-90d7-b38963f45b51 · outbound

This paper cites INFORMS journal on Computing21(4), 599–613 (2009).

Information Preserving Line Search via Bayesian Optimization INFORMS journal on Computing21(4), 599–613 (2009)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.856539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f31a6e8a-f12e-4c02-97c6-1d82051b44bb · outbound

This paper cites In: Recent advances in optimization and mod- eling of contemporary problems, pp.

Information Preserving Line Search via Bayesian Optimization In: Recent advances in optimization and mod- eling of contemporary problems, pp

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.826354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b3652012-f536-41f9-8e18-3b7be9cfb23c · outbound

This paper cites A Tutorial on Bayesian Optimization.

Information Preserving Line Search via Bayesian Optimization A Tutorial on Bayesian Optimization

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3182693-48c6-4a09-bcde-e4eb67ca4433 · outbound

This paper cites In: International Joint Conference on Artificial Intelligence (IJCAI) (2019).

Information Preserving Line Search via Bayesian Optimization In: International Joint Conference on Artificial Intelligence (IJCAI) (2019)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.782526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 98a80fcf-ca3e-47d5-b9f7-7ee894f11fe3 · outbound

This paper cites Computational optimization and applications60, 545–557 (2015).

Information Preserving Line Search via Bayesian Optimization Computational optimization and applications60, 545–557 (2015)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.754841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6363284a-e127-42fc-9810-199b49560d9a · outbound

This paper cites Computers & Mathematics with Applications 18(9), 779–795 (1989).

Information Preserving Line Search via Bayesian Optimization Computers & Mathematics with Applications 18(9), 779–795 (1989)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.729019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1cb9a2f7-ba2b-43b4-bc54-8bf447d398f9 · outbound

This paper cites Journal of global optimization 79(3), 521–566 (2021).

Information Preserving Line Search via Bayesian Optimization Journal of global optimization 79(3), 521–566 (2021)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.705167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d7ff2040-2fb2-4041-99cd-eda8c7da906c · outbound

This paper cites Journal of optimization Theory and Applications79, 157– 181 (1993).

Information Preserving Line Search via Bayesian Optimization Journal of optimization Theory and Applications79, 157– 181 (1993)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.675513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6e24ad03-1295-4874-b654-b39012012084 · outbound

This paper cites Journal of Global optimization13, 455–492 (1998).

Information Preserving Line Search via Bayesian Optimization Journal of Global optimization13, 455–492 (1998)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.650372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation eee49477-f335-4602-861f-7a15760dacde · outbound

This paper cites Journal of the Southern African Institute of Mining and Metallurgy 52(6), 119–139 (1951).

Information Preserving Line Search via Bayesian Optimization Journal of the Southern African Institute of Mining and Metallurgy 52(6), 119–139 (1951)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.626429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ebeff9c2-ae16-4b16-bcdd-61615a9abc95 · outbound

This paper cites an unresolved cited work.

Information Preserving Line Search via Bayesian Optimization Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:37:31.595746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8e70a758-92c8-436e-8d12-56d4a82dc338 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

Information Preserving Line Search via Bayesian Optimization In: Advances in Neural Information Processing Systems

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.564002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6ea508c1-793f-4e28-9361-bb2239212f57 · outbound

This paper cites On the Equivalence of Automatic and Symbolic Differentiation.

Information Preserving Line Search via Bayesian Optimization On the Equivalence of Automatic and Symbolic Differentiation

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 01e6b108-1d24-4d35-8838-82fb6968b79c · outbound

This paper cites In: Conference on Artificial Intelligence (AAAI) (2022).

Information Preserving Line Search via Bayesian Optimization In: Conference on Artificial Intelligence (AAAI) (2022)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.542292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dcba6255-ce1b-4b4c-85ee-dae88612b575 · outbound

This paper cites Journal of Machine Learning Research18(119), 1–59 (2012).

Information Preserving Line Search via Bayesian Optimization Journal of Machine Learning Research18(119), 1–59 (2012)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.501665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6efccfaf-2849-49a1-892d-28173ade856d · outbound

This paper cites Journal of Global Optimization4, 347–365 (1994).

Information Preserving Line Search via Bayesian Optimization Journal of Global Optimization4, 347–365 (1994)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.479608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fd1c37a6-1ed4-4d7b-a3d6-9bd32789f327 · outbound

This paper cites Journal of optimization theory and applications 70, 157–172 (1991).

Information Preserving Line Search via Bayesian Optimization Journal of optimization theory and applications 70, 157–172 (1991)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.449504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c49e7529-871e-4897-a357-26f904e90229 · outbound

This paper cites ACM Trans.

Information Preserving Line Search via Bayesian Optimization ACM Trans

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.421486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d086dbff-108c-4761-9c62-ba67bb6589d6 · outbound

This paper cites an unresolved cited work.

Information Preserving Line Search via Bayesian Optimization Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:37:31.397783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 241c4ee6-4a26-4b4b-bcb1-d750d918ebc5 · outbound

This paper cites Optimization and Engineering pp.

Information Preserving Line Search via Bayesian Optimization Optimization and Engineering pp

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.366391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0965b580-fb97-49b4-bf65-ba5095d884c4 · outbound

This paper cites In: Learning and Intelligent Optimization (LION) (2024) Bayesian Line Search 17.

Information Preserving Line Search via Bayesian Optimization In: Learning and Intelligent Optimization (LION) (2024) Bayesian Line Search 17

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.343071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8dfc70a7-affc-43b3-a2cb-ad0cd3d97991 · outbound

This paper cites an unresolved cited work.

Information Preserving Line Search via Bayesian Optimization Unresolved cited work

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5d2ff6ad-43b5-4e1a-8d7d-db1ae28cff0f · outbound

This paper cites John Wiley & Sons (2015).

Information Preserving Line Search via Bayesian Optimization John Wiley & Sons (2015)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.297097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3b3f6cbe-8ce6-42b0-9419-40d37510cd45 · outbound

This paper cites Advances in neural information processing systems25 (2012).

Information Preserving Line Search via Bayesian Optimization Advances in neural information processing systems25 (2012)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.262984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 25106ed6-705f-49bb-98f5-cb71f98f6838 · outbound

This paper cites MIT Press (2012).

Information Preserving Line Search via Bayesian Optimization MIT Press (2012)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.235595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 28e5e993-ed35-4511-afb0-f62ce70397a9 · outbound

This paper cites Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design.

Information Preserving Line Search via Bayesian Optimization Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:30.585911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4e09cc3-359f-416b-a42a-a57402a12f99 · outbound

This paper cites IEEE Transactions on Systems, Man, and Cybernetics18(6), 965–977 (1988).

Information Preserving Line Search via Bayesian Optimization IEEE Transactions on Systems, Man, and Cybernetics18(6), 965–977 (1988)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.205128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 221d5320-5ce2-4d94-8d8b-fcbd72866f4b · outbound

This paper cites Journal of Statistical Planning and Inference 140(11), 3088–3095 (2010).

Information Preserving Line Search via Bayesian Optimization Journal of Statistical Planning and Inference 140(11), 3088–3095 (2010)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.177013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 87bc2f88-93d5-40a4-83f2-ec9bf0c71822 · outbound

This paper cites scipy 1.0.

Information Preserving Line Search via Bayesian Optimization scipy 1.0

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.138119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bb70c832-6311-4e7a-ba0c-cf380efce064 · outbound

This paper cites SIAM Journal on Optimization16(1), 1–31 (2005).

Information Preserving Line Search via Bayesian Optimization SIAM Journal on Optimization16(1), 1–31 (2005)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.077544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c7289782-79b0-4e6d-b2a2-67dc316adf49 · outbound

This paper cites Mathematical program- ming 106, 25–57 (2006).

Information Preserving Line Search via Bayesian Optimization Mathematical program- ming 106, 25–57 (2006)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.043563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6eb9099d-52d5-4436-949c-3ac2994080f4 · outbound

This paper cites SIAM review11(2), 226–235 (1969).

Information Preserving Line Search via Bayesian Optimization SIAM review11(2), 226–235 (1969)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:31.018212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e9a57eb9-1aa8-4dd2-87de-3250c79221fe · outbound

This paper cites ii: Some corrections.

Information Preserving Line Search via Bayesian Optimization ii: Some corrections

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:30.984885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b024740d-c0bb-487d-972c-57b23557bebd · outbound

This paper cites Advances in neural information processing systems30 (2017).

Information Preserving Line Search via Bayesian Optimization Advances in neural information processing systems30 (2017)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:30.948181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 79574e50-3014-405f-9d11-571df857be71 · outbound

This paper cites ACM Transactions on math- ematical software (TOMS)23(4), 550–560 (1997).

Information Preserving Line Search via Bayesian Optimization ACM Transactions on math- ematical software (TOMS)23(4), 550–560 (1997)

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:37:30.913942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.