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Paper Citation Record · LEDGER

A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment

As of 10 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.17855.

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

pith.paper-citation-record.v1
2607.17855 v2

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measured 42 of 42 reference resolution

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measured 42 of 42 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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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation ded2e244-fc06-48c6-b452-4c48d1152c0d · outbound

This paper cites The free-energy principle: a unified brain theory?.

A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment The free-energy principle: a unified brain theory?

Reference 1

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This paper cites End-to-end pixel- based deep active inference for body perception and action,.

A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment End-to-end pixel- based deep active inference for body perception and action,

Reference 2

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Mobile manipulation with active inference for long- horizon rearrangement tasks,

Reference 3

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This paper cites Evaluation of "As-Intended" Vehicle Dynamics using the Active Inference Framework.

A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Evaluation of "As-Intended" Vehicle Dynamics using the Active Inference Framework

Reference 4

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Observation 9a54a26e-e1a1-4fcc-be91-053c59e1b16f · outbound

This paper cites Resolving uncertainty on the fly: Modeling adaptive driving behavior as active inference,.

A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Resolving uncertainty on the fly: Modeling adaptive driving behavior as active inference,

Reference 5

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Matchbox: Large scale online Bayesian recommendations,

Reference 6

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This paper cites Bayesian probabilistic matrix factor- ization using markov chain monte carlo,.

A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Bayesian probabilistic matrix factor- ization using markov chain monte carlo,

Reference 7

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This paper cites Recent advances in the application of predictive coding and active inference models within clinical neuroscience,.

A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Recent advances in the application of predictive coding and active inference models within clinical neuroscience,

Reference 8

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This paper cites From broken models to treatment selection: Active inference as a tool to guide clinical research and practice,.

A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment From broken models to treatment selection: Active inference as a tool to guide clinical research and practice,

Reference 9

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment TrueSkill: A Bayesian skill rating system,

Reference 10

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Observation d8239b9f-d66b-47ca-a348-250c823e0140 · outbound

This paper cites Patterns of scalable Bayesian inference,.

A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Patterns of scalable Bayesian inference,

Reference 11

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Neuronal mes- sage passing using Mean-field, Bethe, and Marginal approximations,

Reference 12

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This paper cites Probabilistic inference in the era of tensor networks and differential programming,.

A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Probabilistic inference in the era of tensor networks and differential programming,

Reference 13

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment An introduction to variational methods for graphical models,

Reference 14

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Variational inference: A review for statisticians,

Reference 15

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Variational message passing,

Reference 16

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Expectation propagation for approximate bayesian infer- ence,

Reference 17

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Factor graphs and the sum-product algorithm,

Reference 18

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Active inference on discrete state-spaces: A synthesis,

Reference 19

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Variational autoencoders for collaborative filtering,

Reference 20

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Dynamax: A Python package for probabilistic state space modeling with JAX,

Reference 21

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment borglab/gtsam,

Reference 22

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Active inference and learning,

Reference 23

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Unresolved cited work

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment A novel adaptive controller for robot manipulators based on active inference,

Reference 25

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Active Inference in Robotics and Artificial Agents: Survey and Challenges

Reference 26

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment An empirical study of active inference on a humanoid robot,

Reference 27

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Robot navigation as hierarchical active inference,

Reference 28

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Stan: A probabilistic programming language,

Reference 29

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Pyro: Deep universal probabilistic programming,

Reference 30

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro

Reference 31

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment pymdp: A Python library for active inference in discrete state spaces

Reference 32

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX,

Reference 33

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Introducing ActiveInference.jl: A Julia library for simulation and parameter estimation with active inference models,

Reference 34

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment SPM12: Statistical parametric mapping,

Reference 35

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Evaluating emerging ai/ml accelerators: Ipu, rdu, and nvidia/amd gpus,

Reference 36

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment RxInfer: A Julia package for reactive real-time Bayesian inference,

Reference 37

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A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Embedded FPGA Acceleration of Brain-Like Neural Networks: Online Learning to Scalable Inference

Reference 38

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This paper cites Planning and acting in partially observable stochastic domains,.

A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Planning and acting in partially observable stochastic domains,

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This paper cites Format abstraction for sparse tensor algebra compilers,.

A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Format abstraction for sparse tensor algebra compilers,

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This paper cites Pearl,Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.

A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Pearl,Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference

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This paper cites Towards smart and adaptive agents for active sensing on edge devices,.

A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment Towards smart and adaptive agents for active sensing on edge devices,

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