Paper Citation Record · LEDGER

The learnability scaling of quantum states: restricted Boltzmann machines

As of 22 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:1908.07532.

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

pith.paper-citation-record.v1
1908.07532 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:19:32.597544Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

45 of 45 outbound references displayed

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verified fuzzy11
unresolved31
parse uncertain0
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External citation measurements

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Outbound references

Observation e7d38058-c2d9-4e55-b2e2-e77e6f0c4495 · outbound

This paper cites 3, with Nh = 1 2N for h/J = 1).

The learnability scaling of quantum states: restricted Boltzmann machines 3, with Nh = 1 2N for h/J = 1)

Reference 1

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Observation 97e8e772-a760-4c06-b284-63b001fdc8d7 · outbound

This paper cites If a given|Wij| < δ, set Wij = 0, and freeze it for the following steps.

The learnability scaling of quantum states: restricted Boltzmann machines If a given|Wij| < δ, set Wij = 0, and freeze it for the following steps

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:33.270907Z

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Observation 71b65f6c-e7f4-4410-bbdd-77b5c54d560d · outbound

This paper cites an unresolved cited work.

The learnability scaling of quantum states: restricted Boltzmann machines Unresolved cited work

Reference 3

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This paper cites original.

The learnability scaling of quantum states: restricted Boltzmann machines original

Reference 4

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Observation 11e7d786-776d-413b-a449-b39baca135b2 · outbound

This paper cites Torlai and R.

The learnability scaling of quantum states: restricted Boltzmann machines Torlai and R

Reference 5

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Observation 59e0fd9a-2238-46c2-8e74-939c5177c109 · outbound

This paper cites Torlai, G.

The learnability scaling of quantum states: restricted Boltzmann machines Torlai, G

Reference 6

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Observation 608aaed0-0edc-4d0d-a78a-143665ceca19 · outbound

This paper cites Carrasquilla, G.

The learnability scaling of quantum states: restricted Boltzmann machines Carrasquilla, G

Reference 7

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Observation 67deab2a-efbe-43fa-83da-9f26fd17a94d · outbound

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The learnability scaling of quantum states: restricted Boltzmann machines Unresolved cited work

Reference 8

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Observation 48e6f0be-5671-43e4-9f75-47d1949df413 · outbound

This paper cites Cheng, J.

The learnability scaling of quantum states: restricted Boltzmann machines Cheng, J

Reference 9

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Observation ab02f810-5368-4ebb-b97d-c97cb5e0e08b · outbound

This paper cites Carleo, Y.

The learnability scaling of quantum states: restricted Boltzmann machines Carleo, Y

Reference 10

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Observation 6c3656f6-32d6-47f9-9b03-589e510dfac9 · outbound

This paper cites Carleo and M.

The learnability scaling of quantum states: restricted Boltzmann machines Carleo and M

Reference 11

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Observation e7eb2d6b-dd10-4b82-9981-47246a680590 · outbound

This paper cites Integrating Neural Networks with a Quantum Simulator for State Reconstruction.

The learnability scaling of quantum states: restricted Boltzmann machines Integrating Neural Networks with a Quantum Simulator for State Reconstruction

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T12:19:32.426035Z

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Observation d90b3032-ebef-450a-84f2-afcf3533355f · outbound

This paper cites Machine learning quantum states in the NISQ era.

The learnability scaling of quantum states: restricted Boltzmann machines Machine learning quantum states in the NISQ era

Reference 13

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Observation 01f87c0b-42f3-4909-9433-b0bb9f849228 · outbound

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The learnability scaling of quantum states: restricted Boltzmann machines Unresolved cited work

Reference 14

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Observation e9ff9cb3-172a-4425-aba3-6eef8c24bac1 · outbound

This paper cites Machine learning and the physical sciences.

The learnability scaling of quantum states: restricted Boltzmann machines Machine learning and the physical sciences

Reference 15

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Observation 46f63ea7-4f4b-40f9-85a7-dd7752b23746 · outbound

This paper cites Sampling scheme for neuromorphic simulation of entangled quantum systems.

The learnability scaling of quantum states: restricted Boltzmann machines Sampling scheme for neuromorphic simulation of entangled quantum systems

Reference 16

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Observation 0d289f1b-1285-40c9-97e7-75116e101dc6 · outbound

This paper cites Paris and J.

The learnability scaling of quantum states: restricted Boltzmann machines Paris and J

Reference 17

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Observation a348b172-324b-4905-8250-6405345f8def · outbound

This paper cites an unresolved cited work.

The learnability scaling of quantum states: restricted Boltzmann machines Unresolved cited work

Reference 18

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The learnability scaling of quantum states: restricted Boltzmann machines Unresolved cited work

Reference 19

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Observation 6547d37a-6442-4aad-b0af-c7fac7f8cbd6 · outbound

This paper cites Vidal, Phys.

The learnability scaling of quantum states: restricted Boltzmann machines Vidal, Phys

Reference 20

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The learnability scaling of quantum states: restricted Boltzmann machines Unresolved cited work

Reference 21

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The learnability scaling of quantum states: restricted Boltzmann machines Unresolved cited work

Reference 22

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Observation b13a6c0a-a3ed-483c-a02d-fc058168ecab · outbound

This paper cites Making Trotters Sprint: A Variational Imaginary Time Ansatz for Quantum Many-body Systems.

The learnability scaling of quantum states: restricted Boltzmann machines Making Trotters Sprint: A Variational Imaginary Time Ansatz for Quantum Many-body Systems

Reference 23

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Observation 0f1faea8-812d-4167-aca9-7370698b13a0 · outbound

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The learnability scaling of quantum states: restricted Boltzmann machines Unresolved cited work

Reference 24

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The learnability scaling of quantum states: restricted Boltzmann machines Unresolved cited work

Reference 25

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The learnability scaling of quantum states: restricted Boltzmann machines Unresolved cited work

Reference 26

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Observation 1d86533c-60fa-4dd0-9a14-9aecf84a4135 · outbound

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The learnability scaling of quantum states: restricted Boltzmann machines Unresolved cited work

Reference 27

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The learnability scaling of quantum states: restricted Boltzmann machines Unresolved cited work

Reference 28

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Observation 5a8eff9a-97f1-444b-8aca-92e60e90dbbe · outbound

This paper cites Aaronson, Proc.

The learnability scaling of quantum states: restricted Boltzmann machines Aaronson, Proc

Reference 29

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Observation 15848e13-074b-4db2-b695-ae6f23b0497e · outbound

This paper cites On the Computational Efficiency of Training Neural Networks.

The learnability scaling of quantum states: restricted Boltzmann machines On the Computational Efficiency of Training Neural Networks

Reference 30

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Observation 4b41bb6a-24e1-471b-9de5-6c6f908a55a3 · outbound

This paper cites On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization.

The learnability scaling of quantum states: restricted Boltzmann machines On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization

Reference 31

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The learnability scaling of quantum states: restricted Boltzmann machines A Convergence Theory for Deep Learning via Over-Parameterization

Reference 32

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This paper cites The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent.

The learnability scaling of quantum states: restricted Boltzmann machines The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent

Reference 33

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The learnability scaling of quantum states: restricted Boltzmann machines Easing non-convex opti- mization with neural networks,

Reference 34

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Reference 35

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Observation c0f27fb9-8cc8-4824-a6fc-68b31ccb6381 · outbound

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The learnability scaling of quantum states: restricted Boltzmann machines Unresolved cited work

Reference 36

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Observation 63c3f2f1-b612-4906-920c-aecb380da32f · outbound

This paper cites Gao and L.-M.

The learnability scaling of quantum states: restricted Boltzmann machines Gao and L.-M

Reference 37

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Observation 9b943a2b-1af1-413f-9e6f-fde9d6384768 · outbound

This paper cites Glasser, N.

The learnability scaling of quantum states: restricted Boltzmann machines Glasser, N

Reference 38

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Observation d1541241-4199-4eff-9e9f-98f579190f1b · outbound

This paper cites The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.

The learnability scaling of quantum states: restricted Boltzmann machines The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Reference 39

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Observation ac0cfba6-ad5c-48ee-8c63-dd40f4110a4b · outbound

This paper cites Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask.

The learnability scaling of quantum states: restricted Boltzmann machines Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask

Reference 40

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Observation f9d11a75-240c-4bc9-95bc-a975bb73e25e · outbound

This paper cites SNIP: Single-shot Network Pruning based on Connection Sensitivity.

The learnability scaling of quantum states: restricted Boltzmann machines SNIP: Single-shot Network Pruning based on Connection Sensitivity

Reference 41

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Observation aa90977b-ef6a-4be9-9e38-b514d36a72fd · outbound

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The learnability scaling of quantum states: restricted Boltzmann machines Mazurenko, C

Reference 42

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Observation 56cedb42-71e6-45f9-8da3-9f8b3496dc73 · outbound

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The learnability scaling of quantum states: restricted Boltzmann machines Unresolved cited work

Reference 43

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Observation 07b9067a-705f-465b-a163-460c539eb776 · outbound

This paper cites Quantum Kibble-Zurek mechanism and critical dynamics on a programmable Rydberg simulator.

The learnability scaling of quantum states: restricted Boltzmann machines Quantum Kibble-Zurek mechanism and critical dynamics on a programmable Rydberg simulator

Reference 44

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Observation 4aa074c6-db47-4789-99db-f8ea3990e560 · outbound

This paper cites occupation.

The learnability scaling of quantum states: restricted Boltzmann machines occupation

Reference 45

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Pith citing papers

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