Design and accuracy trade-offs in Computational Statistics | Paper Citation Record

Observation 0589fc76-0aba-497c-807f-a12b5f448140 · outbound

This paper cites [Online].

Design and accuracy trade-offs in Computational Statistics [Online]

Reference 1

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Observation 7d66c6a9-b0f2-4777-b3e8-6810cf10cbeb · outbound

This paper cites Lofreq poisson binomial distribution implementation.

Design and accuracy trade-offs in Computational Statistics Lofreq poisson binomial distribution implementation

Reference 2

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Observation 2b06a620-02eb-4e15-aa80-57d68789a17d · outbound

This paper cites [Online].

Design and accuracy trade-offs in Computational Statistics [Online]

Reference 3

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Observation 073128f4-8363-4a69-9521-eaea25b8dd0e · outbound

This paper cites Stan poisson binomial distribution implementation.

Design and accuracy trade-offs in Computational Statistics Stan poisson binomial distribution implementation

Reference 4

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Observation 22671a91-ba3d-48e2-97de-06870591eb5e · outbound

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

Design and accuracy trade-offs in Computational Statistics Ieee standard for floating-point arithmetic,

Reference 5

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This paper cites Low-precision logarithmic number systems: beyond base-2,.

Design and accuracy trade-offs in Computational Statistics Low-precision logarithmic number systems: beyond base-2,

Reference 6

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This paper cites Sneakysnake: a fast and accurate universal genome pre-alignment filter for cpus, gpus and fpgas,.

Design and accuracy trade-offs in Computational Statistics Sneakysnake: a fast and accurate universal genome pre-alignment filter for cpus, gpus and fpgas,

Reference 7

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Observation bbbc6b59-f67e-4b20-9f19-19b2e943f5db · outbound

This paper cites Acmc 2: Accelerating markov chain monte carlo algorithms for probabilistic models,.

Design and accuracy trade-offs in Computational Statistics Acmc 2: Accelerating markov chain monte carlo algorithms for probabilistic models,

Reference 8

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Observation a65559e3-32f6-4424-bf9e-42e6e0b1d6a6 · outbound

This paper cites Efficient ancestry and mutation simulation with msprime 1.0,.

Design and accuracy trade-offs in Computational Statistics Efficient ancestry and mutation simulation with msprime 1.0,

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Observation 4725de0d-9f79-462e-9970-d765f6f868e4 · outbound

This paper cites Accurately computing the log-sum-exp and softmax functions,.

Design and accuracy trade-offs in Computational Statistics Accurately computing the log-sum-exp and softmax functions,

Reference 10

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Observation 9d3201bc-8e18-476b-aa3a-ca611bc60c0f · outbound

This paper cites Variational inference: A review for statisticians,.

Design and accuracy trade-offs in Computational Statistics Variational inference: A review for statisticians,

Reference 11

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Observation 35cbd3a9-6f12-4149-b9a1-47be53a02931 · outbound

This paper cites Stan: A probabilistic programming language,.

Design and accuracy trade-offs in Computational Statistics Stan: A probabilistic programming language,

Reference 12

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Observation 57658501-b7ab-4533-92e3-a76a31c7a7f8 · outbound

This paper cites Coopmc: Algorithm-architecture co-optimization for markov chain monte carlo accelerators,.

Design and accuracy trade-offs in Computational Statistics Coopmc: Algorithm-architecture co-optimization for markov chain monte carlo accelerators,

Reference 13

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Observation 581223a5-114b-4f8a-8304-c3a21a204be4 · outbound

This paper cites Parameterized posit arithmetic hardware generator,.

Design and accuracy trade-offs in Computational Statistics Parameterized posit arithmetic hardware generator,

Reference 14

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Observation fe23629b-c66e-40e1-b259-938a1467fd81 · outbound

This paper cites Posit npb: Assessing the precision improvement in hpc scientific applications,.

Design and accuracy trade-offs in Computational Statistics Posit npb: Assessing the precision improvement in hpc scientific applications,

Reference 15

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Observation 54731152-d139-4789-a048-9d4ca3ae1cd8 · outbound

This paper cites Debugging and detecting numerical errors in computation with posits,.

Design and accuracy trade-offs in Computational Statistics Debugging and detecting numerical errors in computation with posits,

Reference 16

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Observation 21228353-78ed-4c7b-b7bf-1f1735571e79 · outbound

This paper cites Posits: the good, the bad and the ugly,.

Design and accuracy trade-offs in Computational Statistics Posits: the good, the bad and the ugly,

Reference 17

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This paper cites Statistical significance: p value, 0.05 threshold, and applications to radiomics—reasons for a conservative approach,.

Design and accuracy trade-offs in Computational Statistics Statistical significance: p value, 0.05 threshold, and applications to radiomics—reasons for a conservative approach,

Reference 18

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Observation 3406b1d6-1182-42a4-b2b4-45c5eed5fa26 · outbound

This paper cites Durbin, S.

Design and accuracy trade-offs in Computational Statistics Durbin, S

Reference 19

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Observation 2b5615eb-2f69-48cc-8e37-b5b1feeb10c1 · outbound

This paper cites Hidden markov models,.

Design and accuracy trade-offs in Computational Statistics Hidden markov models,

Reference 20

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Observation 51c30181-82aa-4046-9901-7abb28150e0d · outbound

This paper cites Accelerated profile hmm searches,.

Design and accuracy trade-offs in Computational Statistics Accelerated profile hmm searches,

Reference 21

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Observation 6cbfcc0b-c9be-4012-8f06-21daa9d0d09d · outbound

This paper cites High- performance fpga-based accelerator for bayesian neural networks,.

Design and accuracy trade-offs in Computational Statistics High- performance fpga-based accelerator for bayesian neural networks,

Reference 22

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This paper cites Closed-form expression for the poisson- binomial probability density function,.

Design and accuracy trade-offs in Computational Statistics Closed-form expression for the poisson- binomial probability density function,

Reference 23

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This paper cites ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-Efficient Genome Analysis.

Design and accuracy trade-offs in Computational Statistics ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-Efficient Genome Analysis

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Observation ea8b47db-9359-4b3b-8d21-2ee581e41b6c · outbound

This paper cites Comparing posit and ieee-754 hardware cost,.

Design and accuracy trade-offs in Computational Statistics Comparing posit and ieee-754 hardware cost,

Reference 25

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Observation 41790ab3-48d4-40d0-bd32-1eb17b860af1 · outbound

This paper cites Mpfr: A multiple-precision binary floating-point library with correct rounding,.

Design and accuracy trade-offs in Computational Statistics Mpfr: A multiple-precision binary floating-point library with correct rounding,

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This paper cites Gendp: A framework of dynamic programming acceleration for genome sequencing analysis,.

Design and accuracy trade-offs in Computational Statistics Gendp: A framework of dynamic programming acceleration for genome sequencing analysis,

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This paper cites Gundersen.

Design and accuracy trade-offs in Computational Statistics Gundersen

Reference 28

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This paper cites Hardware acceleration of long read pairwise overlapping in genome sequencing: A race between fpga and gpu,.

Design and accuracy trade-offs in Computational Statistics Hardware acceleration of long read pairwise overlapping in genome sequencing: A race between fpga and gpu,

Reference 29

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Observation 473259ca-6177-49d1-8c09-7266195dd51b · outbound

This paper cites Beating floating point at its own game: Posit arithmetic,.

Design and accuracy trade-offs in Computational Statistics Beating floating point at its own game: Posit arithmetic,

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This paper cites Bridging the gap between llms and lns with dynamic data format and architecture codesign,.

Design and accuracy trade-offs in Computational Statistics Bridging the gap between llms and lns with dynamic data format and architecture codesign,

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Observation ad97f135-d882-4ca5-91f0-c38cf5d32be4 · outbound

This paper cites On computing the distribution function for the poisson binomial distribution,.

Design and accuracy trade-offs in Computational Statistics On computing the distribution function for the poisson binomial distribution,

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Observation c30bea89-e8d2-489d-a0a1-709bbad9e477 · outbound

This paper cites Hardware acceleration of the pair-hmm algorithm for dna variant calling,.

Design and accuracy trade-offs in Computational Statistics Hardware acceleration of the pair-hmm algorithm for dna variant calling,

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Observation 46273cde-6e56-49ab-9e10-74b47b87eb19 · outbound

This paper cites Universal number posit arithmetic generator on fpga,.

Design and accuracy trade-offs in Computational Statistics Universal number posit arithmetic generator on fpga,

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Observation 48a6b682-d533-4195-8dcf-232eeb74e2b0 · outbound

This paper cites Pacogen: A hardware posit arithmetic core generator,.

Design and accuracy trade-offs in Computational Statistics Pacogen: A hardware posit arithmetic core generator,

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This paper cites Exma: A genomics accelerator for exact- matching,.

Design and accuracy trade-offs in Computational Statistics Exma: A genomics accelerator for exact- matching,

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Observation 259b39cc-8072-491d-a451-050807d49298 · outbound

This paper cites Rethinking floating point for deep learning.

Design and accuracy trade-offs in Computational Statistics Rethinking floating point for deep learning

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This paper cites Jurafsky and J.

Design and accuracy trade-offs in Computational Statistics Jurafsky and J

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This paper cites Towards weather and climate models in 16-bit arithmetic.

Design and accuracy trade-offs in Computational Statistics Towards weather and climate models in 16-bit arithmetic

Reference 39

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This paper cites A scalable bayesian inference accelerator for unsupervised learning,.

Design and accuracy trade-offs in Computational Statistics A scalable bayesian inference accelerator for unsupervised learning,

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This paper cites A 3mm 2 programmable bayesian inference accelerator for unsupervised machine perception using parallel gibbs sampling in 16nm,.

Design and accuracy trade-offs in Computational Statistics A 3mm 2 programmable bayesian inference accelerator for unsupervised machine perception using parallel gibbs sampling in 16nm,

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This paper cites Flexgibbs: Reconfigurable parallel gibbs sampling accelerator for structured graphs,.

Design and accuracy trade-offs in Computational Statistics Flexgibbs: Reconfigurable parallel gibbs sampling accelerator for structured graphs,

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Observation 84827d8a-1a55-4f83-8264-0660fd45c3c6 · outbound

This paper cites High-level. net software implementations of unum type i and posit with simultaneous fpga implementation using hastlayer,.

Design and accuracy trade-offs in Computational Statistics High-level. net software implementations of unum type i and posit with simultaneous fpga implementation using hastlayer,

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This paper cites A robust scaling approach for implementation of hsmms,.

Design and accuracy trade-offs in Computational Statistics A robust scaling approach for implementation of hsmms,

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This paper cites An approach to generate correctly rounded math libraries for new floating point variants,.

Design and accuracy trade-offs in Computational Statistics An approach to generate correctly rounded math libraries for new floating point variants,

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Observation 64236f32-4fd3-43e6-a3c5-04710b9311ee · outbound

This paper cites High performance correctly rounded math libraries for 32-bit floating point representations,.

Design and accuracy trade-offs in Computational Statistics High performance correctly rounded math libraries for 32-bit floating point representations,

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This paper cites Variational inference using approximate likelihood under the coalescent with recombination,.

Design and accuracy trade-offs in Computational Statistics Variational inference using approximate likelihood under the coalescent with recombination,

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This paper cites Algorithm-hardware co-design for bqsr acceleration in genome analysis toolkit,.

Design and accuracy trade-offs in Computational Statistics Algorithm-hardware co-design for bqsr acceleration in genome analysis toolkit,

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Observation 1e32028a-0d49-434e-bca5-ebce2636b8cf · outbound

This paper cites Big-PERCIVAL: Exploring the Native Use of 64-Bit Posit Arithmetic in Scientific Computing.

Design and accuracy trade-offs in Computational Statistics Big-PERCIVAL: Exploring the Native Use of 64-Bit Posit Arithmetic in Scientific Computing

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Observation f0543492-e5fa-458f-85c3-2f9fc869a04c · outbound

This paper cites Customizing the cva6 risc-v core to integrate posit and quire instructions,.

Design and accuracy trade-offs in Computational Statistics Customizing the cva6 risc-v core to integrate posit and quire instructions,

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This paper cites Percival: open-source posit risc-v core with quire capability,.

Design and accuracy trade-offs in Computational Statistics Percival: open-source posit risc-v core with quire capability,

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This paper cites Numerically stable hidden markov model implementation,.

Design and accuracy trade-offs in Computational Statistics Numerically stable hidden markov model implementation,

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This paper cites A systematic review of hidden markov models and their applications,.

Design and accuracy trade-offs in Computational Statistics A systematic review of hidden markov models and their applications,

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Observation 9ee029fa-f0b2-4ba1-b56f-f8a74d97f404 · outbound

This paper cites Customized posit adders and multipliers using the flopoco core generator,.

Design and accuracy trade-offs in Computational Statistics Customized posit adders and multipliers using the flopoco core generator,

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Observation 5ea08005-90eb-4f51-86e4-2b2b7a6dd6c2 · outbound

This paper cites Generating posit-based accelerators with high-level synthesis,.

Design and accuracy trade-offs in Computational Statistics Generating posit-based accelerators with high-level synthesis,

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Observation e903b8fe-6564-4378-9e8c-8a1a78489672 · outbound

This paper cites Compar- ing different decodings for posit arithmetic,.

Design and accuracy trade-offs in Computational Statistics Compar- ing different decodings for posit arithmetic,

Reference 56

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Observation ea2bf671-ba95-44fb-b5b4-adf2da3812c8 · outbound

This paper cites Plaus: Posit logarithmic approximate units to implement low- cost operations with real numbers,.

Design and accuracy trade-offs in Computational Statistics Plaus: Posit logarithmic approximate units to implement low- cost operations with real numbers,

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Observation 968156f1-62d6-4bac-bbb6-b62e399971dd · outbound

This paper cites Hidden semi-markov models (hsmms),.

Design and accuracy trade-offs in Computational Statistics Hidden semi-markov models (hsmms),

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This paper cites AWTY (are we there yet?): a system for graphical exploration of MCMC convergence in Bayesian phylogenetics,.

Design and accuracy trade-offs in Computational Statistics AWTY (are we there yet?): a system for graphical exploration of MCMC convergence in Bayesian phylogenetics,

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Observation 080b59df-1c5a-4060-b4fa-8b00ae4c5910 · outbound

This paper cites Universal: reliable, reproducible, and energy-efficient numerics,.

Design and accuracy trade-offs in Computational Statistics Universal: reliable, reproducible, and energy-efficient numerics,

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Observation 3e53a192-e0a4-4da4-9ee3-07b845caf9bd · outbound

This paper cites Computing with logarithmic number system arithmetic: Implementation methods and performance benefits,.

Design and accuracy trade-offs in Computational Statistics Computing with logarithmic number system arithmetic: Implementation methods and performance benefits,

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Design and accuracy trade-offs in Computational Statistics Unresolved cited work

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This paper cites Hardware implementation of posits and their application in fpgas,.

Design and accuracy trade-offs in Computational Statistics Hardware implementation of posits and their application in fpgas,

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This paper cites A tutorial on hidden markov models and selected applica- tions in speech recognition,.

Design and accuracy trade-offs in Computational Statistics A tutorial on hidden markov models and selected applica- tions in speech recognition,

Reference 64

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Design and accuracy trade-offs in Computational Statistics Some New Results for Poisson Binomial Models

Reference 65

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This paper cites FPGA Acceleration of Sequence Alignment: A Survey.

Design and accuracy trade-offs in Computational Statistics FPGA Acceleration of Sequence Alignment: A Survey

Reference 66

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This paper cites Techniques for assessing water infrastructure for nonstationary extreme events: a review,.

Design and accuracy trade-offs in Computational Statistics Techniques for assessing water infrastructure for nonstationary extreme events: a review,

Reference 67

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Design and accuracy trade-offs in Computational Statistics Binomial option pricing with nonidentically distributed returns and its implications,

Reference 68

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This paper cites Clarinet: A quire-enabled risc-v- based framework for posit arithmetic empiricism,.

Design and accuracy trade-offs in Computational Statistics Clarinet: A quire-enabled risc-v- based framework for posit arithmetic empiricism,

Reference 69

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Design and accuracy trade-offs in Computational Statistics Phac: Posit hardware accelerator for efficient arithmetic logic operations,

Reference 70

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Observation c9cde31c-a04a-4587-9fd6-9f367cfc7ea0 · outbound

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Design and accuracy trade-offs in Computational Statistics Comparison of arithmetic number formats for inference in sum-product networks on fpgas,

Reference 71

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Observation e229ce01-bc9d-4b14-8c62-272537f49cf6 · outbound

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Design and accuracy trade-offs in Computational Statistics Accelerated seeding for genome sequence alignment with enumerated radix trees,

Reference 72

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Observation 9fd04004-20d4-427a-8dd3-c2d3ef5f1eda · outbound

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Design and accuracy trade-offs in Computational Statistics The poisson binomial distribution—old & new,

Reference 73

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Observation ea64301a-be89-48f8-94db-42d8127c0a2c · outbound

This paper cites Stan user’s guide, version 2.35,.

Design and accuracy trade-offs in Computational Statistics Stan user’s guide, version 2.35,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-04T17:29:57.483401Z

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Design and accuracy trade-offs in Computational Statistics The role of poisson’s binomial distribution in the analysis of tem images,

Reference 75

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Design and accuracy trade-offs in Computational Statistics Peri: A configurable posit enabled risc-v core,

Reference 76

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Observation b3cc3f9a-edf1-4aa0-a967-caf03629af0b · outbound

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Design and accuracy trade-offs in Computational Statistics Darwin: A genomics co- processor provides up to 15,000 x acceleration on long read assembly,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-04T17:29:57.648713Z

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Design and accuracy trade-offs in Computational Statistics Evaluating the hardware cost of the posit number system,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-04T17:29:57.725318Z

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Observation 7acebd4a-c235-47c9-83ed-1f30cb923ad9 · outbound

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Design and accuracy trade-offs in Computational Statistics Enabling high performance posit arithmetic applications using hardware acceleration,

Reference 79

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Observation 205263df-78dd-403e-bb45-9fe73918638c · outbound

This paper cites An accelerator for posit arithmetic targeting posit level 1 blas routines and pair-hmm,.

Design and accuracy trade-offs in Computational Statistics An accelerator for posit arithmetic targeting posit level 1 blas routines and pair-hmm,

Reference 80

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Observation 7f057f13-2833-4f87-bfbb-6b617abbd8c9 · outbound

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Design and accuracy trade-offs in Computational Statistics Coestimating Reticulate Phylogenies and Gene Trees from Multilocus Sequence Data,

Reference 81

Resolution: verified exact; doi, observed 2026-08-04T17:34:00.715649Z

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Observation da658424-5193-4e8f-9f20-6ea32ccaffe7 · outbound

This paper cites Lofreq: a sequence-quality aware, ultra-sensitive variant caller for uncovering cell- population heterogeneity from high-throughput sequencing datasets,.

Design and accuracy trade-offs in Computational Statistics Lofreq: a sequence-quality aware, ultra-sensitive variant caller for uncovering cell- population heterogeneity from high-throughput sequencing datasets,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-04T17:29:58.009077Z

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Observation 0dde72bc-62c6-414b-a913-67ff9c9074d2 · outbound

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Design and accuracy trade-offs in Computational Statistics Posit arithmetic hardware implementations with the minimum cost divider and squareroot,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-04T17:29:58.066332Z

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Observation d8a80dfb-29c7-4e6a-91c6-4a45ec7a2436 · outbound

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Design and accuracy trade-offs in Computational Statistics (2017) Ultrascale architecture configurable logic block user guide

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-04T17:29:58.202384Z

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This paper cites (2020) Floating-point operator v7.1 - logicore ip product guide.

Design and accuracy trade-offs in Computational Statistics (2020) Floating-point operator v7.1 - logicore ip product guide

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-04T17:29:58.444722Z

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This paper cites An fpga accelerator for genome variant calling,.

Design and accuracy trade-offs in Computational Statistics An fpga accelerator for genome variant calling,

Reference 86

Resolution: verified exact; doi, observed 2026-08-04T17:34:00.494277Z

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Observation 03bd9bc6-8411-43ed-8cab-3b505084b5a1 · outbound

This paper cites Accelerating probabilistic computing with a stochastic processing unit,.

Design and accuracy trade-offs in Computational Statistics Accelerating probabilistic computing with a stochastic processing unit,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-04T17:29:58.565639Z

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Observation f1c4122f-a1fa-4b38-8729-edea4004026c · outbound

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Design and accuracy trade-offs in Computational Statistics Statistical robustness of markov chain monte carlo accelerators,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-04T17:29:58.660383Z

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Observation bfd66104-92bd-4055-90c4-2f7cffd7f034 · outbound

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Design and accuracy trade-offs in Computational Statistics Lns-madam: Low-precision training in logarithmic number system using multiplicative weight update,

Reference 89

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