Paper Citation Record · LEDGER

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence

As of 23 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2501.06154.

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

pith.paper-citation-record.v1
2501.06154 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:09:53.711536Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy17
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 04e89771-9429-4bfe-98ab-79af9b1b935c · outbound

This paper cites A Quasi–Monte Carlo Method With Krylov Linear Solvers for Multigroup Neutron Transport Simulations.

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence A Quasi–Monte Carlo Method With Krylov Linear Solvers for Multigroup Neutron Transport Simulations

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:54.031258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a6161ac5-e87d-4f90-b570-d316e1c2ab3b · outbound

This paper cites Pasmann, I.

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence Pasmann, I

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:54.014905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 75698e4d-ee03-4a26-bedf-23fdd4b2fe74 · outbound

This paper cites On the efficiency of certain quasi-random sequences of points in evaluating multi- dimensional integrals.

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence On the efficiency of certain quasi-random sequences of points in evaluating multi- dimensional integrals

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:53.999565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation da90c148-4758-48fd-954f-6669a31ac28c · outbound

This paper cites On the distribution of points in a cube and the approximate evaluation of integrals.

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence On the distribution of points in a cube and the approximate evaluation of integrals

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:53.984738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0ae402b3-bcdb-455e-8e4a-f4879c8db5aa · outbound

This paper cites A comparison of three methods for selecting values of input variables in the analysis of output from a computer code.

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence A comparison of three methods for selecting values of input variables in the analysis of output from a computer code

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:53.968987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 06be07e4-99cc-4194-8d02-e83266663371 · outbound

This paper cites iQMC: Iterative Quasi-Monte Carlo for k-Eigenvalue Neutron Transport Simulations.

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence iQMC: Iterative Quasi-Monte Carlo for k-Eigenvalue Neutron Transport Simulations

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:53.952587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2dad661e-9518-445e-baae-fe83434de8b1 · outbound

This paper cites Convergent transport source iteration calculations with Quasi-Monte Carlo.

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence Convergent transport source iteration calculations with Quasi-Monte Carlo

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:53.937604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 718b5354-c265-4f6c-bed5-7bc0cca4df2d · outbound

This paper cites McClarren.

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence McClarren

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:53.921386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c944f77e-ac2e-4615-a391-1ce59e399ef2 · outbound

This paper cites The Random Ray Method for neutral particle transport.

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence The Random Ray Method for neutral particle transport

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:53.905767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5523cbda-bda5-43c8-92cf-d71758497b07 · outbound

This paper cites Randomized Quasi-Monte Carlo: An introduction for practitioners.

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence Randomized Quasi-Monte Carlo: An introduction for practitioners

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:53.888981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4bde5f5e-9360-4844-8708-0bcc4628f1eb · outbound

This paper cites Recent advances in randomized quasi-Monte Carlo methods.

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence Recent advances in randomized quasi-Monte Carlo methods

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:53.872733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 93202fc0-76e6-49a0-b6e9-9b46e806835e · outbound

This paper cites A randomized Halton algorithm in R.

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence A randomized Halton algorithm in R

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:53.856975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2ac16d23-f166-4634-a4dd-a499f35c7798 · outbound

This paper cites Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development.

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development

Reference 13

Resolution: malformed identifier; no resolver link, observed 2026-08-10T21:09:53.685809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ad7943c-3fd0-4262-bede-f0d72e5e38f8 · outbound

This paper cites Numba: A llvm-based python jit compiler.

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence Numba: A llvm-based python jit compiler

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:53.839478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fe0f13c3-181d-43c8-9097-af57a7775e98 · outbound

This paper cites mpi4py.futures: MPI-Based Asynchronous Task Execution for Python.

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence mpi4py.futures: MPI-Based Asynchronous Task Execution for Python

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:53.821805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 88a30b39-85fb-4d12-9c07-70aa5bb55b8d · outbound

This paper cites SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python.

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:53.804695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6fee5856-f8cd-4a2a-bbd0-d7d0c167960f · outbound

This paper cites 3-D Neutron Transport Benchmarks.

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence 3-D Neutron Transport Benchmarks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:53.787797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7558d000-6742-4304-871a-2e12015ecbb4 · outbound

This paper cites OpenMC: A state- of-the-art Monte Carlo code for research and development.

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence OpenMC: A state- of-the-art Monte Carlo code for research and development

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:53.766093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.