Paper Citation Record · LEDGER

LiBOG: Lifelong Learning for Black-Box Optimizer Generation

As of 21 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2505.13025.

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

pith.paper-citation-record.v1
2505.13025 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

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measured 45 of 45 standing notices

One-hop event checks from named stored sources.

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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

45 of 45 outbound references displayed

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External citation measurements

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Outbound references

Observation 871b1f26-7337-490f-9f90-deff074d6b41 · outbound

This paper cites Policy and value transfer in lifelong reinforcement learning.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Policy and value transfer in lifelong reinforcement learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.541062Z

Source-reported events for the cited work

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Observation 1757c461-2f2e-4216-97df-5beeb6bb107b · outbound

This paper cites Hoffman, Ser- gio G ´omez Colmenarejo, Misha Denil, Timothy P.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Hoffman, Ser- gio G ´omez Colmenarejo, Misha Denil, Timothy P

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.471008Z

Source-reported events for the cited work

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Observation b126ef4f-1110-4701-8528-a0667cc73a16 · outbound

This paper cites Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm

Reference 12

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Source-reported events for the cited work

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Observation 00c5aa61-4fc6-499d-b9d4-43d704c0c0dd · outbound

This paper cites Reinforcement learning for adaptive operator selec- tion in memetic search applied to quadratic assignment problem.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Reinforcement learning for adaptive operator selec- tion in memetic search applied to quadratic assignment problem

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.414497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d1b77c06-e467-4879-942e-92bfca054d5d · outbound

This paper cites Transient non-stationarity and generalisation in deep rein- forcement learning.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Transient non-stationarity and generalisation in deep rein- forcement learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.382033Z

Source-reported events for the cited work

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Observation 117c6fd1-9751-447e-a95c-5e54dd262ee2 · outbound

This paper cites Towards continual reinforcement learning: A review and perspectives.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Towards continual reinforcement learning: A review and perspectives

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.371569Z

Source-reported events for the cited work

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Observation 3923b487-9e89-4fd2-9c46-0cc8fbb1e7ba · outbound

This paper cites Kirkpatrick, C.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Kirkpatrick, C

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.360931Z

Source-reported events for the cited work

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Observation e0911ee8-0d6e-4f8f-88eb-96af42c7bc0d · outbound

This paper cites Rupam Mahmood.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Rupam Mahmood

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.338530Z

Source-reported events for the cited work

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Observation 55ff835a-afdd-4f21-94f8-0d4996d5d10c · outbound

This paper cites PyHopper -- Hyperparameter optimization.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation PyHopper -- Hyperparameter optimization

Reference 21

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Source-reported events for the cited work

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Observation daf20154-6842-4611-9b97-80065267b8b4 · outbound

This paper cites How good is neural combinatorial optimization? A systematic evaluation on the traveling salesman problem.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation How good is neural combinatorial optimization? A systematic evaluation on the traveling salesman problem

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.328092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 585e0e7f-c9b5-4353-a3d0-78759e19652c · outbound

This paper cites A learning-based iterative method for solving ve- hicle routing problems.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation A learning-based iterative method for solving ve- hicle routing problems

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.317586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fc142b1c-ca9a-4380-9156-c1b1ff43a454 · outbound

This paper cites Metabox: A benchmark platform for meta-black-box optimization with reinforcement learning.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Metabox: A benchmark platform for meta-black-box optimization with reinforcement learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.307330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d791736a-5443-4647-b6f1-70109cbbe2f0 · outbound

This paper cites Malan and Andries P.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Malan and Andries P

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.295384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0dfac28a-7f62-4e02-b808-cf9f709fb5de · outbound

This paper cites Fuzzy tiling activations: A simple approach to learning sparse representations online.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Fuzzy tiling activations: A simple approach to learning sparse representations online

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.272468Z

Source-reported events for the cited work

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Observation ab468cae-da57-4710-92f9-6e10558e2a2d · outbound

This paper cites Learn- ing from offline and online experiences: A hybrid adap- tive operator selection framework.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Learn- ing from offline and online experiences: A hybrid adap- tive operator selection framework

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.262137Z

Source-reported events for the cited work

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Observation fbf14b3a-328e-4711-b3ad-bad0ecabd106 · outbound

This paper cites [Peiet al., 2025 ] Jiyuan Pei, Yi Mei, Jialin Liu, Mengjie Zhang, and Xin Yao.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation [Peiet al., 2025 ] Jiyuan Pei, Yi Mei, Jialin Liu, Mengjie Zhang, and Xin Yao

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.251517Z

Source-reported events for the cited work

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Observation d87d1c9d-0e9e-4ed1-800b-879f5ded5bc0 · outbound

This paper cites Deep reinforcement learning based parameter control in differ- ential evolution.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Deep reinforcement learning based parameter control in differ- ential evolution

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.240268Z

Source-reported events for the cited work

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Observation 8d91f9d6-4211-4a40-a06b-f8467fae3f08 · outbound

This paper cites Springer US, Boston, MA,.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Springer US, Boston, MA,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.205761Z

Source-reported events for the cited work

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Observation 3fd6d8b6-c808-4062-910e-579b55ce0e23 · outbound

This paper cites Meta- learning for black-box optimization.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Meta- learning for black-box optimization

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.182777Z

Source-reported events for the cited work

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Observation d2f0320b-0b6f-4631-9fd4-9e24d520b0b5 · outbound

This paper cites Incremental reinforcement learning in continuous spaces via policy relaxation and importance weighting.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Incremental reinforcement learning in continuous spaces via policy relaxation and importance weighting

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.170662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c5874585-b01b-491b-8597-56c8d07ce0d0 · outbound

This paper cites Recent advances in bayesian optimization.ACM Comput.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Recent advances in bayesian optimization.ACM Comput

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.157565Z

Source-reported events for the cited work

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Observation 5a42343c-452f-4dfb-b569-9e1f974c2c04 · outbound

This paper cites A comprehensive survey of continual learning: Theory, method and application.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, 46(8):5362–5383,.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation A comprehensive survey of continual learning: Theory, method and application.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, 46(8):5362–5383,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.145388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 12eca98b-589a-45cd-a053-412fad3fdf20 · outbound

This paper cites Graph as- sisted offline-online deep reinforcement learning for dy- namic workflow scheduling.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Graph as- sisted offline-online deep reinforcement learning for dy- namic workflow scheduling

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.132876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4eae90de-eb5b-42f1-b065-904a6f3b82dd · outbound

This paper cites Automated design of metaheuristics using rein- forcement learning within a novel general search frame- work.IEEE Transactions on Evolutionary Computation, 27(4):1072–1084,.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Automated design of metaheuristics using rein- forcement learning within a novel general search frame- work.IEEE Transactions on Evolutionary Computation, 27(4):1072–1084,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.120955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2cc07f72-fa45-4335-afa0-8c8b7c1e88d8 · outbound

This paper cites an unresolved cited work.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Unresolved cited work

Reference 42

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Source-reported events for the cited work

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Observation fb78e694-4439-44c2-93f6-f53a42ed2be8 · outbound

This paper cites Symbolic learning to optimize: Towards interpretability and scalability.arXiv, 2203.0657,.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Symbolic learning to optimize: Towards interpretability and scalability.arXiv, 2203.0657,

Reference 43

Resolution: verified exact; raw_fallback, observed 2026-08-15T20:26:26.031518Z

Source-reported events for the cited work

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Observation c18a9d0a-d3eb-4505-a2e8-12a4584d132b · outbound

This paper cites B Tree Structure Rule Representation We construct a solution updating rule (c.f., Section 3.2) as follows.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation B Tree Structure Rule Representation We construct a solution updating rule (c.f., Section 3.2) as follows

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.095002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ee014256-e3ae-47a1-ada7-01a99154057f · outbound

This paper cites Forall-taskmethod, 32 problems are sampled for each function, forming a set of 320 training problems in each epoch.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Forall-taskmethod, 32 problems are sampled for each function, forming a set of 320 training problems in each epoch

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.082941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 994f9e60-57d1-4c4b-8868-0cb08c16c413 · outbound

This paper cites Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hass- abis, Claudia Clopath, Dharshan Kumaran, and Raia Had- sell.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hass- abis, Claudia Clopath, Dharshan Kumaran, and Raia Had- sell

Reference 1983

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.349823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8046cfdf-53c7-4fbe-9610-14bbf038a63e · outbound

This paper cites Learn to op- timize – A brief overview.National Science Review, 11(8):nwae132, 04.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Learn to op- timize – A brief overview.National Science Review, 11(8):nwae132, 04

Reference 1997

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.218100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ab29976f-3a0d-4948-a19a-6a71405ff0f7 · outbound

This paper cites Varga, Orly Avraham, Ziv Ben-Aharon, Alisa Khramushin, and Ora Schueler-Furman.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Varga, Orly Avraham, Ziv Ben-Aharon, Alisa Khramushin, and Ora Schueler-Furman

Reference 1998

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.194529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c3df0b2b-c587-48a3-89b3-ae7c1233f6cd · outbound

This paper cites Blackbox optimization for approximating high- fidelity heat transfer calculations in metal additive manu- facturing.Results in Materials, 13:100258,.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Blackbox optimization for approximating high- fidelity heat transfer calculations in metal additive manu- facturing.Results in Materials, 13:100258,

Reference 2002

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.504421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a5bcb2eb-11ad-4729-873d-c62f27068ed0 · outbound

This paper cites Metaheuristic research: A comprehensive survey.Artificial Intelligence Review, 52(4):2191–2233,.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Metaheuristic research: A comprehensive survey.Artificial Intelligence Review, 52(4):2191–2233,

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.393030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3f690539-b63f-49f0-90ad-f34098ae6e7d · outbound

This paper cites Problem definitions and evaluation criteria for the CEC 2021 on single objective bound con- strained numerical optimization.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Problem definitions and evaluation criteria for the CEC 2021 on single objective bound con- strained numerical optimization

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.283982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7c59cbc6-8ddc-4e24-8f76-8f79193a1b9b · outbound

This paper cites Automated algorithm configu- ration and parameter tuning.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Automated algorithm configu- ration and parameter tuning

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.402776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3df66923-cda2-4b73-96fd-018ea8bbc2d6 · outbound

This paper cites Evolution strategies – A comprehensive introduction.Natural Computing, 1(1):3–52,.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Evolution strategies – A comprehensive introduction.Natural Computing, 1(1):3–52,

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.516807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 718dab7d-8be2-4a06-a59f-7fc7aa2adf70 · outbound

This paper cites Symbolic discovery of optimization algorithms.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Symbolic discovery of optimization algorithms

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.459848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2b6f255f-deea-4964-89c5-6ce8c8a7c5a0 · outbound

This paper cites Blackbox and derivative-free optimization: theory, algorithms and applications.Optimization and En- gineering, 17(1):1–2, February.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Blackbox and derivative-free optimization: theory, algorithms and applications.Optimization and En- gineering, 17(1):1–2, February

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.528966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f1489de1-e2dd-40ff-8f0e-fe7c1b1df43e · outbound

This paper cites [Storn and Price, 1997] Rainer Storn and Kenneth Price.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation [Storn and Price, 1997] Rainer Storn and Kenneth Price

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.228886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6fb01537-e02e-4598-9e29-f8feac2e43d4 · outbound

This paper cites [Gomeset al., 2021 ] Hugo Siqueira Gomes, Benjamin L´eger, and Christian Gagn ´e.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation [Gomeset al., 2021 ] Hugo Siqueira Gomes, Benjamin L´eger, and Christian Gagn ´e

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.425531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4a2442ab-c632-4066-a489-f29c2a29de0d · outbound

This paper cites Meta- learning of black-box solvers using deep reinforcement learning.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Meta- learning of black-box solvers using deep reinforcement learning

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.482436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4adf7c87-0831-4d9c-99ca-39be64117612 · outbound

This paper cites Improving differential evolution through Bayesian hyperparameter optimization.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Improving differential evolution through Bayesian hyperparameter optimization

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.492921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 41c6cbb6-924e-45b6-82b0-cb27da65bd95 · outbound

This paper cites SYM- BOL: Generating flexible black-box optimizers through symbolic equation learning.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation SYM- BOL: Generating flexible black-box optimizers through symbolic equation learning

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.448668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 06f33dea-f606-43f7-822b-1820cb286b20 · outbound

This paper cites Improving performance in reinforcement learning by breaking generalization in neu- ral networks.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Improving performance in reinforcement learning by breaking generalization in neu- ral networks

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:26.437166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ab118965-de6e-46e0-b723-d93aeb892cc5 · outbound

This paper cites Proximal Policy Optimization Algorithms.

LiBOG: Lifelong Learning for Black-Box Optimizer Generation Proximal Policy Optimization Algorithms

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:25.799160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.