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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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.458075Z digest=sha256:41e1d094c25feac5904dfe3c4a292b43132fc5934abceab611031f64fa2f6646

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.462743Z digest=sha256:5b67cb7ddc3fa4d96a64e3da8d50be2adbb1745b4850d33328f1c1f828d918aa

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.467537Z digest=sha256:596b5b1bfbf68dc4c9f92804e9a7c9765517cfaaca809149b4f4421b8c643d9f

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.472362Z digest=sha256:6589b845645d010bd44768b6d7f9824e54150e483fdafc71f2b5455c7327005c

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.478367Z digest=sha256:79dcf3b436e2100c708fda445a445b0b4ff2d723d173d9a29b238617dd65a39c

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.482798Z digest=sha256:69456b07ee9e215939e78c103f2b750b320dd71e46bb7499a2d9e0a59c218fd6

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.487945Z digest=sha256:0782c41ada6702f9a87704247fba60a40ffc7ef8395d33ccb05dca997c2d1055

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.

source=arxiv_source observed=2026-08-11T19:32:15.492122Z digest=sha256:437da8f78b87236906f2cdece9500ecd4e9c86873d2b6a8a688699020b11bebb

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.497225Z digest=sha256:0429a0d791b85490b72f49bf5f6689603aa75233054608a190868442c93a55d5

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.502056Z digest=sha256:e2557c4c7a4ce51240acb4dd0d11bdd074f5cca48dfb3e84ffccfd18ce89821a

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.507671Z digest=sha256:7383b6edf858200fda607092b6a9984003ccbcc60067b14e4e6974faf2a0a317

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.513060Z digest=sha256:68947703adc97472aaa63a61ae55739f0e2b0f852d6e890ccab7933bd5ee7a97

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.517853Z digest=sha256:7215944cf39ce22e2b813a8dc69c008076053c56fb392dd92ab692949f4a8189

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.522704Z digest=sha256:83b91dfc808bf68f998bb99527ed3b89414c695779801732d022e6853b627652

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.527625Z digest=sha256:4dfef3ef8fefa30cf1546dafd67e307d84609546cb04d22b499fcf2af9bbe9bc

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.533061Z digest=sha256:d5a10ce730e68910db9c5d2e3080f4a608046caa4c1dabb4675dc2ecd5d5e690

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.536846Z digest=sha256:0b5f37939c750c1468886d61c5b0265a103d72c32557ee009ab07875b460348b

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.540587Z digest=sha256:70774153039ac3e6acdcf9f1c67ca540e9f8d608373699da34141950370318f7

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.544270Z digest=sha256:e299fe3a3c8b8e0e566e848d94a53ddb14def7c491870280e8d0fe6a3ca31a44

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.548144Z digest=sha256:c1ffbb3f7517bf88e4fc339417e4b60895ac66395999494831cecca90edef281

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.553150Z digest=sha256:586038d08e74f265a40caf9cb5dba7c1f78b9aed15d00062fcc54cb6b8a0c134

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.556722Z digest=sha256:c1deb56a581012d481ea0715811c5680bd5f2a5d83b73b965fb876f60a44ab87

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.559990Z digest=sha256:3f5dd17401eaf06a70a2faab47a7e991aa7f655d36b506a76e44b3e14c2ca6ed

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.563822Z digest=sha256:50396622e376dffa3d8226da727702d3b0cda4235ba09af1ad7dcec55f4ed599

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.567304Z digest=sha256:b60dfd920c2ba6f24b6920c4f599d3d643558a69e3dedb5cb07bdda9d24d5acd

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:32:15.572472Z digest=sha256:34b3f0b37e49ee507b27a6feaa29d9bb21b6e6cc963d5a29b1fe71b07120e327

Pith citing papers

No inbound Pith citation observations are available.