Paper Citation Record · LEDGER

VOPy: A Framework for Black-box Vector Optimization

As of 20 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2412.06604.

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

pith.paper-citation-record.v1
2412.06604 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:32:15.572472Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

26 of 26 outbound references displayed

verified exact1
verified fuzzy23
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 185052fb-88f1-47c4-bf55-8d60f4d4e1ac · outbound

This paper cites Vector optimization with stochastic bandit feedback.

VOPy: A Framework for Black-box Vector Optimization Vector optimization with stochastic bandit feedback

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:16.111414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b4c043f5-9e53-48c7-9eff-efb919a5270f · outbound

This paper cites Pareto front identification from stochastic bandit feedback.

VOPy: A Framework for Black-box Vector Optimization Pareto front identification from stochastic bandit feedback

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:16.099983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4be86999-0db5-4d66-82b7-d914e3edd354 · outbound

This paper cites Jiang, Samuel Daulton, Benjamin Letham, Andrew Gordon Wilson, and Eytan Bakshy.

VOPy: A Framework for Black-box Vector Optimization Jiang, Samuel Daulton, Benjamin Letham, Andrew Gordon Wilson, and Eytan Bakshy

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:16.088090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 76dccb63-a374-4c1f-81b9-a6b2d1f28816 · outbound

This paper cites Pymoo: Multi-objective optimization in P ython.

VOPy: A Framework for Black-box Vector Optimization Pymoo: Multi-objective optimization in P ython

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:16.074942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0321bdd3-02a4-4320-b49b-22f5008b741e · outbound

This paper cites R B F O pt: an open-source library for black-box optimization with costly function evaluations.

VOPy: A Framework for Black-box Vector Optimization R B F O pt: an open-source library for black-box optimization with costly function evaluations

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:16.062117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ab1da9f8-dacf-4828-94c5-dae920d3b0f3 · outbound

This paper cites A tutorial on multiobjective optimization: fundamentals and evolutionary methods.

VOPy: A Framework for Black-box Vector Optimization A tutorial on multiobjective optimization: fundamentals and evolutionary methods

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:16.047790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ea6241b7-e221-474b-a7de-6aead68a7476 · outbound

This paper cites Google V izier: a service for black-box optimization.

VOPy: A Framework for Black-box Vector Optimization Google V izier: a service for black-box optimization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:16.033753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b146fdb-f0e2-4c04-9862-fbb2a860f9a5 · outbound

This paper cites Bayesian Optimization for Synthetic Gene Design.

VOPy: A Framework for Black-box Vector Optimization Bayesian Optimization for Synthetic Gene Design

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T19:32:15.492122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18e57d42-a343-45e2-a90b-693eeca3bd01 · outbound

This paper cites Portfolio allocation for B ayesian optimization.

VOPy: A Framework for Black-box Vector Optimization Portfolio allocation for B ayesian optimization

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:16.018620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d0d7e983-c4af-49e2-b2fd-02775233b7b4 · outbound

This paper cites Bias free multiobjective active learning for materials design and discovery.

VOPy: A Framework for Black-box Vector Optimization Bias free multiobjective active learning for materials design and discovery

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:16.001894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e0ba63d8-e00a-4155-80f1-e0d5355d4665 · outbound

This paper cites Openbox: a P ython toolkit for generalized black-box optimization.

VOPy: A Framework for Black-box Vector Optimization Openbox: a P ython toolkit for generalized black-box optimization

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:15.987317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2bfeed8e-5c72-4cf9-bae3-f34f6cbdc7ef · outbound

This paper cites an unresolved cited work.

VOPy: A Framework for Black-box Vector Optimization Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-11T19:32:15.974726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8eb1feeb-afb5-4265-8d69-5c444c9308aa · outbound

This paper cites Learning the P areto set under incomplete preferences: Pure exploration in vector bandits.

VOPy: A Framework for Black-box Vector Optimization Learning the P areto set under incomplete preferences: Pure exploration in vector bandits

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:15.962508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ec250fa5-34e3-4c56-bc92-aea6f12b8b5f · outbound

This paper cites Vector optimization with G aussian process bandits.

VOPy: A Framework for Black-box Vector Optimization Vector optimization with G aussian process bandits

Reference 14

Resolution: verified exact; raw_fallback, observed 2026-08-11T19:32:15.740954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8a70b72e-faf0-4b06-ac5a-d72dab4ab474 · outbound

This paper cites Multiobjective optimization for crash safety design of vehicles using stepwise regression model.

VOPy: A Framework for Black-box Vector Optimization Multiobjective optimization for crash safety design of vehicles using stepwise regression model

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:15.947667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 20f6d9ec-5637-4d75-afc7-1e4d85547677 · outbound

This paper cites Crystal structure prediction using ab initio evolutionary techniques: principles and applications.

VOPy: A Framework for Black-box Vector Optimization Crystal structure prediction using ab initio evolutionary techniques: principles and applications

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:15.934890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d8de12be-54e9-4614-b9ea-a828c9a40c32 · outbound

This paper cites Prediction of low-thermal-conductivity compounds with first-principles anharmonic lattice-dynamics calculations and B ayesian optimization.

VOPy: A Framework for Black-box Vector Optimization Prediction of low-thermal-conductivity compounds with first-principles anharmonic lattice-dynamics calculations and B ayesian optimization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:15.917914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1f926906-fbd5-4eea-871b-3f7c9e98e112 · outbound

This paper cites Practical B ayesian optimization of machine learning algorithms.

VOPy: A Framework for Black-box Vector Optimization Practical B ayesian optimization of machine learning algorithms

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:15.898444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9ee40baa-3ae3-45e1-b1b4-0f442ff0fe6f · outbound

This paper cites An easy-to-use real-world multi-objective optimization problem suite.

VOPy: A Framework for Black-box Vector Optimization An easy-to-use real-world multi-objective optimization problem suite

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:15.881148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c66f16a9-c66b-434e-a680-62dd858a1719 · outbound

This paper cites Black-box optimization for automated discovery.

VOPy: A Framework for Black-box Vector Optimization Black-box optimization for automated discovery

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:15.861735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8a6ee28c-0328-49a8-beeb-dd1668dacad7 · outbound

This paper cites Joint entropy search for multi-objective B ayesian optimization.

VOPy: A Framework for Black-box Vector Optimization Joint entropy search for multi-objective B ayesian optimization

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:15.843245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 05f39122-4dd1-495c-ba7b-e386ccf2d22b · outbound

This paper cites C O M B O : An efficient B ayesian optimization library for materials science.

VOPy: A Framework for Black-box Vector Optimization C O M B O : An efficient B ayesian optimization library for materials science

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:15.828134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3bb777b7-d4f4-4525-bb73-eba6d72e817a · outbound

This paper cites Style guide for Python code.

VOPy: A Framework for Black-box Vector Optimization Style guide for Python code

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:15.813403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cb45eb3b-340d-48db-993e-252d34d7a872 · outbound

This paper cites Hyperparameter optimization for machine learning models based on B ayesian optimization.

VOPy: A Framework for Black-box Vector Optimization Hyperparameter optimization for machine learning models based on B ayesian optimization

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:15.797779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 30050eb7-0c4f-40f0-adfe-a0defe441e63 · outbound

This paper cites Computer generation of streaming sorting networks.

VOPy: A Framework for Black-box Vector Optimization Computer generation of streaming sorting networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:15.781566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f50b2a49-18e9-42c7-9511-6d2d0e1e85f1 · outbound

This paper cites e- P A L : An active learning approach to the multi-objective optimization problem.

VOPy: A Framework for Black-box Vector Optimization e- P A L : An active learning approach to the multi-objective optimization problem

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:32:15.767697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.