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Paper Citation Record · LEDGER

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku

As of 12 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2506.23809.

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pith.paper-citation-record.v1
2506.23809 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:36:02.017035Z

measured 24 of 24 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

24 of 24 outbound references displayed

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External citation measurements

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Outbound references

Observation ca8f8acf-5a3d-4ff9-b977-f96ad3a76c96 · outbound

This paper cites The configuration interaction method: Advances in highly correlated approaches,.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku The configuration interaction method: Advances in highly correlated approaches,

Reference 1

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Observation cd324e58-6b7c-432c-abc0-bac9d92249e0 · outbound

This paper cites Coupled-cluster theory in quantum chemistry,.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku Coupled-cluster theory in quantum chemistry,

Reference 2

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Observation 67f8f022-30b4-470d-b9f3-7fbe9fb9745d · outbound

This paper cites Møller–plesset perturbation theory: from small molecule methods to methods for thousands of atoms,.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku Møller–plesset perturbation theory: from small molecule methods to methods for thousands of atoms,

Reference 3

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Observation 7f90a425-6dd0-495c-8fe9-b3d3d67a0d72 · outbound

This paper cites Wave function optimization in the variational monte carlo method,.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku Wave function optimization in the variational monte carlo method,

Reference 4

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Observation 7ed6bdac-7e72-4397-83ca-e1bc5ceaaabf · outbound

This paper cites Solving the quantum many-body problem with artificial neural networks,.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku Solving the quantum many-body problem with artificial neural networks,

Reference 5

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This paper cites Ab initio quantum chemistry with neural-network wavefunctions,.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku Ab initio quantum chemistry with neural-network wavefunctions,

Reference 6

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Observation 4ec69e8b-cf60-467c-b961-21117e02bf84 · outbound

This paper cites Recurrent neural network wave functions,.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku Recurrent neural network wave functions,

Reference 7

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Observation 8b3d2eea-5df3-4b64-8192-d2dbcae34c2d · outbound

This paper cites From tensor-network quantum states to tensorial recurrent neural networks,.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku From tensor-network quantum states to tensorial recurrent neural networks,

Reference 8

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Observation cab52ed3-bc88-4c24-9ab1-2155687b9634 · outbound

This paper cites Two-dimensional frustrated j 1-j 2 model studied with neural network quantum states,.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku Two-dimensional frustrated j 1-j 2 model studied with neural network quantum states,

Reference 9

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Observation 823df1f3-3ff4-4018-93f8-7fde7931e819 · outbound

This paper cites Variational optimiza- tion of the amplitude of neural-network quantum many-body ground states,.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku Variational optimiza- tion of the amplitude of neural-network quantum many-body ground states,

Reference 10

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Observation e312aa4c-1df2-4565-a7ae-fed3f0d323dd · outbound

This paper cites Nnqs-transformer: an efficient and scalable neural network quantum states approach for ab initio quantum chemistry,.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku Nnqs-transformer: an efficient and scalable neural network quantum states approach for ab initio quantum chemistry,

Reference 11

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Observation f372a452-1737-4ab0-85e4-5c490c8c3b50 · outbound

This paper cites Transformer variational wave functions for frustrated quantum spin systems,.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku Transformer variational wave functions for frustrated quantum spin systems,

Reference 12

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This paper cites A Self-Attention Ansatz for Ab-initio Quantum Chemistry,.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku A Self-Attention Ansatz for Ab-initio Quantum Chemistry,

Reference 13

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This paper cites Supercomputer Fugaku - Supercomputer Fugaku, A64FX 48C 2.2GHz, Tofu interconnect D | TOP500.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku Supercomputer Fugaku - Supercomputer Fugaku, A64FX 48C 2.2GHz, Tofu interconnect D | TOP500

Reference 14

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Observation e0e05858-6ffd-4877-9968-7916b6e9f605 · outbound

This paper cites A stochastic approximation method,.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku A stochastic approximation method,

Reference 15

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This paper cites Adam: A Method for Stochastic Optimization.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku Adam: A Method for Stochastic Optimization

Reference 16

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Observation 216bd398-6e90-49e4-b7da-12695139fd6f · outbound

This paper cites Fixing weight de- cay regularization in adam,.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku Fixing weight de- cay regularization in adam,

Reference 17

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Observation c1b983d1-cdf1-4d96-898d-01ddeccf2a9d · outbound

This paper cites Optimizing neural networks with kronecker-factored approximate curvature,.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku Optimizing neural networks with kronecker-factored approximate curvature,

Reference 18

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Observation 10eeb28d-858b-4c78-857f-118127d3a34e · outbound

This paper cites Scalable neural quantum states architecture for quantum chemistry,.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku Scalable neural quantum states architecture for quantum chemistry,

Reference 19

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This paper cites An efficient implementation of Slater-Condon rules.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku An efficient implementation of Slater-Condon rules

Reference 20

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Observation 490bbb49-9a90-4a56-b7bb-357ebf3d30d2 · outbound

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Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku Attention is all you need,

Reference 21

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Observation 36c78314-b46b-452e-99ef-3ec2b5deea4b · outbound

This paper cites HPCG - November 2024 | TOP500.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku HPCG - November 2024 | TOP500

Reference 22

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Observation 7cac7067-efe1-4678-802a-d353599dae8b · outbound

This paper cites Language models are unsupervised multitask learners,.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku Language models are unsupervised multitask learners,

Reference 23

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This paper cites Decoupled weight decay regularization,.

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku Decoupled weight decay regularization,

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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