Paper Citation Record · LEDGER

Non-Myopic Multi-Objective Bayesian Optimization

As of 12 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2412.08085.

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

pith.paper-citation-record.v1
2412.08085 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:21:35.602265Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

19 of 19 outbound references displayed

verified exact4
verified fuzzy8
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8a29107b-9c33-4af1-9ae3-d94852b4b06b · outbound

This paper cites Pareto front-diverse batch multi- objective Bayesian optimization.

Non-Myopic Multi-Objective Bayesian Optimization Pareto front-diverse batch multi- objective Bayesian optimization

Reference 1

Resolution: verified exact; doi, observed 2026-08-11T18:21:35.646650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 071f4d59-f0c4-4d07-b2db-c77b887413c4 · outbound

This paper cites NMMO-Nested: O(KN 2H 2M ) Where M is the size of the discretized input space used for the nested optimization.

Non-Myopic Multi-Objective Bayesian Optimization NMMO-Nested: O(KN 2H 2M ) Where M is the size of the discretized input space used for the nested optimization

Reference 2

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-11T18:21:35.834397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8203c3f4-e73b-4c0d-8393-fe974a1e41bf · outbound

This paper cites doi: 10.1038/s41586-019-1798-7.

Non-Myopic Multi-Objective Bayesian Optimization doi: 10.1038/s41586-019-1798-7

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T18:21:35.544075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c57410d4-d6c5-481d-8580-dd151c7c4237 · outbound

This paper cites Learning pareto-frontier resource management policies for heterogeneous socs: An information-theoretic approach.

Non-Myopic Multi-Objective Bayesian Optimization Learning pareto-frontier resource management policies for heterogeneous socs: An information-theoretic approach

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:21:36.280192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fa5a50a1-e71a-41b9-b157-b8df3e3f0511 · outbound

This paper cites an unresolved cited work.

Non-Myopic Multi-Objective Bayesian Optimization Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:21:36.173887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b4bf3cb7-c631-4c95-b862-8cb29e2402e3 · outbound

This paper cites A.3 Alternative scalarization approaches: an ablation study The proof of additivity in Lemma 1 relies on the fact that HVI is an improvement-based scalarization.

Non-Myopic Multi-Objective Bayesian Optimization A.3 Alternative scalarization approaches: an ablation study The proof of additivity in Lemma 1 relies on the fact that HVI is an improvement-based scalarization

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:21:36.198141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c410ed84-ae6f-4ccf-9d1f-af9e7a36e94b · outbound

This paper cites Metal–organic frameworks (mofs).Chemical Society Reviews, 43(16):5415–5418,.

Non-Myopic Multi-Objective Bayesian Optimization Metal–organic frameworks (mofs).Chemical Society Reviews, 43(16):5415–5418,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:21:36.268529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 425a2420-b5d0-4420-9257-b327ffb08830 · outbound

This paper cites Multi-objective optimization of reram crossbars for robust DNN inferencing under stochastic noise.

Non-Myopic Multi-Objective Bayesian Optimization Multi-objective optimization of reram crossbars for robust DNN inferencing under stochastic noise

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:21:36.235988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c55e5f6f-d388-4a01-8e64-dc8867193ab7 · outbound

This paper cites Design of multi-output switched-capacitor voltage regulator via machine learning.

Non-Myopic Multi-Objective Bayesian Optimization Design of multi-output switched-capacitor voltage regulator via machine learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:21:36.224636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 41d960af-eced-41d7-adea-751a0094435b · outbound

This paper cites an unresolved cited work.

Non-Myopic Multi-Objective Bayesian Optimization Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:21:36.186211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 734ff100-5a94-4ba5-a74a-68a8d99389f2 · outbound

This paper cites an unresolved cited work.

Non-Myopic Multi-Objective Bayesian Optimization Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:21:36.161978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6d59cf6e-3610-40a2-8f8c-9a21b68ae61d · outbound

This paper cites A.2 Analysis of lookahead horizons We include figures illustrating the performance of our non-myopic methods across different horizon values.

Non-Myopic Multi-Objective Bayesian Optimization A.2 Analysis of lookahead horizons We include figures illustrating the performance of our non-myopic methods across different horizon values

Reference 2000

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:21:36.211564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d2ef2188-7035-46d3-beba-949fb048d20a · outbound

This paper cites Roman Garnett.

Non-Myopic Multi-Objective Bayesian Optimization Roman Garnett

Reference 2006

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-11T18:21:36.094225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a2ad99d9-ee8e-47de-8320-5d4e7e3021ac · outbound

This paper cites Hypervolume-based multi-objective reinforcement learning.

Non-Myopic Multi-Objective Bayesian Optimization Hypervolume-based multi-objective reinforcement learning

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:21:36.246855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f77c1820-3c46-4103-85a5-884f464a728d · outbound

This paper cites Multi-objective Bayesian optimization using pareto-frontier entropy.

Non-Myopic Multi-Objective Bayesian Optimization Multi-objective Bayesian optimization using pareto-frontier entropy

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:21:36.257302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e6efac16-8ac7-40de-b844-cbfb33d6524e · outbound

This paper cites Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints.

Non-Myopic Multi-Objective Bayesian Optimization Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T18:21:35.535118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b098f74a-413b-41b6-9830-52832f01ffac · outbound

This paper cites BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization.

Non-Myopic Multi-Objective Bayesian Optimization BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T18:21:35.531067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c79b575-dc70-4ed6-99e0-fa0428e0861f · outbound

This paper cites Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach.

Non-Myopic Multi-Objective Bayesian Optimization Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach

Reference 2021

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:21:36.124793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3b538bcc-3e58-4bb5-b71e-1ce7c3d5fd57 · outbound

This paper cites Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings.

Non-Myopic Multi-Objective Bayesian Optimization Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T18:21:35.553502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.