GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization | Paper Citation Record

Observation 339d3f63-6c2f-4ef2-84a0-00117fabf9cb · outbound

This paper cites LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 1

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Observation ac9d3a85-3d68-42f6-bcb2-bfcce1875953 · outbound

This paper cites 2025 , publisher =.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization 2025 , publisher =

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Observation ec268213-3f79-4df9-807a-6480c6a20b15 · outbound

This paper cites Illuminating search spaces by mapping elites.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Illuminating search spaces by mapping elites

Reference 3

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Observation f26e5b77-1c7b-44e5-816e-ec77aa4b03ad · outbound

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Unresolved cited work

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Observation 0e5920fc-8060-41bb-9693-92bf2ceeea82 · outbound

This paper cites 2021 , organization=.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization 2021 , organization=

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Observation 1bc7a42a-f519-4b4f-ae88-65f6e0d5fbbf · outbound

This paper cites Advances in neural information processing systems , volume=.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Advances in neural information processing systems , volume=

Reference 6

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Observation 17574bc5-3796-4fa5-8ab3-f817a1126f30 · outbound

This paper cites Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

Reference 7

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Observation f7c7db37-cc8d-48d6-9280-b617948b1bda · outbound

This paper cites Journal of chemical information and modeling , volume=.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Journal of chemical information and modeling , volume=

Reference 8

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Observation f972ee21-f1dd-437c-9e7c-4535db2a32d7 · outbound

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization International conference on machine learning , pages=

Reference 9

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Observation ab29d74b-7e08-4d2d-8667-2eb20802b7d1 · outbound

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Unresolved cited work

Reference 10

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Observation ef142fea-e65e-41c5-bba7-107e16baf8e3 · outbound

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Unresolved cited work

Reference 11

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Observation 5aa3280a-b4c3-4fa8-8c6c-a527a0fb7a53 · outbound

This paper cites International conference on machine learning , pages=.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization International conference on machine learning , pages=

Reference 12

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Observation 0b328700-d31c-41ab-87b2-89b48377f8a1 · outbound

This paper cites Proceedings of the aaai conference on artificial intelligence , volume=.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Proceedings of the aaai conference on artificial intelligence , volume=

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T14:06:35.756620Z

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Observation 13ba2ec6-2073-40df-9517-5f42db6dcd27 · outbound

This paper cites Neural Architecture Search with Reinforcement Learning.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Neural Architecture Search with Reinforcement Learning

Reference 14

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Observation ff63dff0-446c-443e-9b1e-f3cb3ad7e97c · outbound

This paper cites IEEE Transactions on Evolutionary Computation , volume=.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization IEEE Transactions on Evolutionary Computation , volume=

Reference 15

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Observation edffe0e4-0178-4d76-aeb4-b7e675d5d905 · outbound

This paper cites ACM Transactions on Evolutionary Learning , volume=.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization ACM Transactions on Evolutionary Learning , volume=

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Observation 718379be-b66f-4dfd-95e5-0681dca683b4 · outbound

This paper cites Advances in neural information processing systems , volume=.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Advances in neural information processing systems , volume=

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Observation da07a46a-1dad-4e83-a996-724f4152bd04 · outbound

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Proceedings of the IEEE , volume=

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Observation 02853c9f-c56d-4f16-a32c-6a746d39fb74 · outbound

This paper cites International conference on machine learning , pages=.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization International conference on machine learning , pages=

Reference 19

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Observation 5e5b82b0-e284-49b0-a8d6-90f4508ec4ee · outbound

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Proceedings of the AAAI conference on artificial intelligence , volume=

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Observation 65292e8a-214b-422f-a6f4-a0e91b46f96c · outbound

This paper cites ThetaEvolve: Test-time Learning on Open Problems.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization ThetaEvolve: Test-time Learning on Open Problems

Reference 21

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Observation 30f50f19-3786-449c-a899-b4ccd76eb8aa · outbound

This paper cites Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning

Reference 22

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Observation 5946831a-8fb7-46a9-924e-9c578cff4fa6 · outbound

This paper cites Proceedings of the Genetic and Evolutionary Computation Conference , pages=.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Proceedings of the Genetic and Evolutionary Computation Conference , pages=

Reference 23

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This paper cites Proceedings of the Genetic and Evolutionary Computation Conference , pages=.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Proceedings of the Genetic and Evolutionary Computation Conference , pages=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T14:06:35.756620Z

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Observation bb2e82be-4255-4d4c-b409-7cd9924d7fc4 · outbound

This paper cites Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T14:06:35.756620Z

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Observation 9f32497b-a80b-4c88-be9a-cb9aa83abad0 · outbound

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Hugging Face Blog , year =

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization , author=

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Observation aa9cfcce-8ed7-491b-90cc-b26d21b5d10e · outbound

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Chemical science , volume=

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This paper cites International conference on machine learning , pages=.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization International conference on machine learning , pages=

Reference 29

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Icml , volume=

Reference 30

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Observation ca6892c1-9a81-4e6b-a7a5-e36e4f04a344 · outbound

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 31

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Observation 38ab82ac-237a-40d5-9fb5-7b27a7d74ac9 · outbound

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization arXiv preprint arXiv:2601.10657 , year=

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Observation bf4727b4-9d96-4246-9704-7d11c2f6f46a · outbound

This paper cites LLM-SR: Scientific Equation Discovery via Programming with Large Language Models.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 33

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Advances in Neural Information Processing Systems , volume=

Reference 34

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Observation 8b7e3919-8121-42c0-8d36-d1db5eb63f8d · outbound

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 35

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization CodeEvolve: an open source evolutionary coding agent for algorithmic discovery and optimization

Reference 36

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Digital Discovery , volume=

Reference 37

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization 2019 , eprint=

Reference 39

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization 2019 , eprint=

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Molecular contrastive learning of representations via graph neural networks , volume=

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization 2024 , eprint=

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Reference 43

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning

Reference 44

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Directional Message Passing for Molecular Graphs

Reference 45

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization The Journal of chemical physics , volume=

Reference 46

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Nature Machine Intelligence , volume=

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Journal of medicinal chemistry , volume=

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Journal of chemical information and modeling , volume=

Reference 49

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Advances in neural information processing systems , volume=

Reference 50

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Observation 32735873-47eb-41ba-b9c7-eae1a2f165e5 · outbound

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Machine Learning: Science and Technology , volume=

Reference 51

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization M ol TRES : Improving Chemical Language Representation Learning for Molecular Property Prediction

Reference 52

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Observation 2f12037e-c8c3-44ec-a9a9-ead98968727f · outbound

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization 2023 , eprint=

Reference 53

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Self-referencing embedded strings (SELFIES): A 100 volume=

Reference 54

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization 2022 , eprint=

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Observation adf0b9b2-12b1-4b1f-bbbd-cfc33ad36b71 · outbound

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization 2022 , eprint=

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization 2020 , eprint=

Reference 57

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization 2022 , eprint=

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Observation 9108c04d-672f-4a44-abde-d11bc80a33e9 · outbound

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Unresolved cited work

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Observation ba9af258-7b62-4c13-a455-c8aa8f686524 · outbound

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization 2023 , eprint=

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Observation 1e1008bb-7cf8-4c77-b366-e0f8e59e53bc · outbound

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Nature , volume=

Reference 61

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Observation b90fd7ab-1e45-47ce-aed2-49530932b231 · outbound

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization BMC bioinformatics , volume=

Reference 62

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Observation 7921bc12-bf73-481d-bfce-40d179263d59 · outbound

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization 2020 , eprint=

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-14T14:06:35.756620Z

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Observation 509d8fdb-dc78-486d-ab30-d150fe22d41f · outbound

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GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization 2017 , eprint=

Reference 64

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Resolution: verified exact; doi, observed 2026-07-14T14:10:36.663013Z

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Observation 33619c55-6a86-4684-a4b7-a0f64d16e46d · outbound

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Observation a938755f-ecf6-4201-ad81-e4c1597d5e8d · outbound

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Observation 86cba196-1bae-43ae-a8c4-bc61ea77b3fd · outbound

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Resolution: unresolved; no resolver link, observed 2026-07-14T14:06:35.756620Z

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Pith citing papers