Paper Citation Record · LEDGER

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It

As of 19 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2508.07457.

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

pith.paper-citation-record.v1
2508.07457 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:15:58.006479Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

33 of 33 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1d8da87-ffdd-42d6-884d-4983c4bfaef1 · outbound

This paper cites Rogers and M.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Rogers and M

Reference 1

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Observation a174deb6-ca95-4e6a-aa1a-99be181844c7 · outbound

This paper cites an unresolved cited work.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Unresolved cited work

Reference 2

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This paper cites Introduction to Monte Carlo methods.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Introduction to Monte Carlo methods

Reference 3

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This paper cites Introduction to monte carlo simulation,.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Introduction to monte carlo simulation,

Reference 4

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This paper cites The laplace microarchitecture for tracking data uncertainty and its implementation in a risc-v processor,.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It The laplace microarchitecture for tracking data uncertainty and its implementation in a risc-v processor,

Reference 5

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This paper cites The signaloid’s uxhw microarchitecture for tracking data uncertainty,.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It The signaloid’s uxhw microarchitecture for tracking data uncertainty,

Reference 6

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Observation 56695993-37bc-4db6-a4e2-7fe439b015ac · outbound

This paper cites A note on the generation of random normal deviates,.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It A note on the generation of random normal deviates,

Reference 7

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This paper cites Univariate distribution relationships,.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Univariate distribution relationships,

Reference 8

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This paper cites Efficient programmable random variate generation ac- celerator from sensor noise,.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Efficient programmable random variate generation ac- celerator from sensor noise,

Reference 9

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Observation f8f48e7a-d8d9-4c83-91c0-0ea5be4c399b · outbound

This paper cites A system for generating non- uniform random variates using graphene field-effect transistors,.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It A system for generating non- uniform random variates using graphene field-effect transistors,

Reference 10

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Observation 5b5a29f1-6b9d-4123-8978-15d59b77b291 · outbound

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The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Unresolved cited work

Reference 11

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Observation 81cbc4c5-c8a1-4258-863a-32faa6714c78 · outbound

This paper cites Tye, Analog-Domain Machine Learning Computations Exploiting 2D Materials Properties.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Tye, Analog-Domain Machine Learning Computations Exploiting 2D Materials Properties

Reference 12

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Observation 0f6603ea-fbbb-4a21-a40d-8bbf24fe43a9 · outbound

This paper cites Ern and J.-L.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Ern and J.-L

Reference 13

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The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Unresolved cited work

Reference 14

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Observation 5f402126-a47e-4bb1-8ef0-2c23d89e8551 · outbound

This paper cites IEEE standard for floating-point arithmetic,.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It IEEE standard for floating-point arithmetic,

Reference 15

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Observation c5feb4cf-ae39-4e1f-b28a-3f7e91e7ae8e · outbound

This paper cites What every computer scientist should know about floating-point arithmetic,.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It What every computer scientist should know about floating-point arithmetic,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:15:58.390467Z

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Observation e4f3d342-4c6b-452d-8a04-9c30fee283f5 · outbound

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The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Unresolved cited work

Reference 17

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Source-reported events for the cited work

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Observation 94374baa-d2de-46d1-8731-572b051992f9 · outbound

This paper cites Pilco: A model-based and data-efficient approach to policy search,.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Pilco: A model-based and data-efficient approach to policy search,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:15:58.367747Z

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Observation b3d4ba25-7e68-4f30-a470-3d0f50537dc7 · outbound

This paper cites The gnu c library reference manual: for version 2.38,.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It The gnu c library reference manual: for version 2.38,

Reference 19

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This paper cites Noise generators for the simulation of digital communi- cation systems,.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Noise generators for the simulation of digital communi- cation systems,

Reference 20

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Observation 29461e60-154e-4d34-ab1e-98ab17613bab · outbound

This paper cites Galassi, J.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Galassi, J

Reference 21

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Observation c712c17e-089a-4993-b187-b34ca75d6ada · outbound

This paper cites Llvm: a compilation framework for lifelong program analysis & transformation,.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Llvm: a compilation framework for lifelong program analysis & transformation,

Reference 22

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Observation a5f3b97f-dc4e-4c37-890b-d6a5ba25adae · outbound

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The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Signaloid cloud compute engine

Reference 23

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The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Mathematical methods of organizing and planning production,

Reference 24

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Observation dd5d57b9-8441-4650-9253-0629ff91821d · outbound

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Reference 25

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Observation 4cb32f1c-180e-4c77-b44b-5f0da53934ca · outbound

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The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Unresolved cited work

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This paper cites Principles of physics in surgery: the laws of flow dynamics physics for surgeons—part 1,.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Principles of physics in surgery: the laws of flow dynamics physics for surgeons—part 1,

Reference 27

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The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Blood rheology: key parameters, impact on blood flow, role in sickle cell disease and effects of exercise,

Reference 28

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The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Measuring real-time blood viscosity with a ventricular assist device,

Reference 29

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The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It A geometric derivation of the cantor distribution,

Reference 30

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This paper cites Casella and R.

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It Casella and R

Reference 32

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The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python,

Reference 33

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Pith citing papers

No inbound Pith citation observations are available.