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Paper Citation Record · LEDGER

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm

As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2505.18081.

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

pith.paper-citation-record.v1
2505.18081 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:43:04.037366Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation 09b22cb3-240c-4485-a4d7-c5209de2917a · outbound

This paper cites Methods of information geometry, volume 191.

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Methods of information geometry, volume 191

Reference 1

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Observation 9afa3096-b2ac-4ee3-af76-49d4c46a5072 · outbound

This paper cites Gradients without Backpropagation.

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Gradients without Backpropagation

Reference 2

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Observation 52f3dea8-a087-409e-9e11-1e292b6ca363 · outbound

This paper cites Towards Biologically Plausible Deep Learning.

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Towards Biologically Plausible Deep Learning

Reference 3

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Observation f5f1efe2-382e-43f2-99a9-dd5996913f62 · outbound

This paper cites A general metric for Riemannian manifold Hamiltonian Monte Carlo.

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm A general metric for Riemannian manifold Hamiltonian Monte Carlo

Reference 4

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Observation d62dc8c2-f72a-4ac2-a2b5-d76beaa44e48 · outbound

This paper cites JAX: composable transformations of Python+NumPy programs, 2018.

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm JAX: composable transformations of Python+NumPy programs, 2018

Reference 5

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Observation 3b815ff9-bcd2-48fd-a152-caaed62bf6c3 · outbound

This paper cites Second-Order Forward-Mode Automatic Differentiation for Optimization.

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Second-Order Forward-Mode Automatic Differentiation for Optimization

Reference 6

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Observation 1191c73f-ab7c-4a87-af1a-73d9bf74be91 · outbound

This paper cites Hybrid Monte Carlo.

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Hybrid Monte Carlo

Reference 7

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Observation 6c87f6cc-a4d0-4f6f-8419-1e63353a9297 · outbound

This paper cites Can forward gradient match backpropagation? In International Conference on Machine Learning, pages 10249–10264.

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Can forward gradient match backpropagation? In International Conference on Machine Learning, pages 10249–10264

Reference 8

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Observation e5779dbd-0b74-4b42-a178-7506b3f96d57 · outbound

This paper cites Riemann manifold Langevin and Hamiltonian Monte Carlo methods.

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Riemann manifold Langevin and Hamiltonian Monte Carlo methods

Reference 9

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Observation 6b1ae520-6dbc-4880-92d2-82cef3491b86 · outbound

This paper cites Evaluating derivatives: principles and techniques of algorithmic differentiation.

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Evaluating derivatives: principles and techniques of algorithmic differentiation

Reference 10

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Unavailable: canonical work link unavailable.

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Observation 796ad219-b864-415f-876d-99f2345e7a4b · outbound

This paper cites The Forward-Forward Algorithm: Some Preliminary Investigations.

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm The Forward-Forward Algorithm: Some Preliminary Investigations

Reference 11

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Observation 206e65e1-d231-44c2-9db7-3dc1ad3caf6a · outbound

This paper cites The No-U-Turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo.

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm The No-U-Turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo

Reference 12

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Observation e104c3fe-1f8e-44e3-ac3a-bdc40e7ed967 · outbound

This paper cites Subspace inference for Bayesian deep learning.

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Subspace inference for Bayesian deep learning

Reference 13

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Observation 6d5400d2-e0c0-4879-bf94-bedc14e25173 · outbound

This paper cites What are Bayesian neural network posteriors really like? In International conference on machine learning, pages 4629–4640.

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm What are Bayesian neural network posteriors really like? In International conference on machine learning, pages 4629–4640

Reference 14

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Observation 7b6d1d45-8aa5-41a1-a58f-38fcfb6884ed · outbound

This paper cites Decoupled neural interfaces using synthetic gradients.

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Decoupled neural interfaces using synthetic gradients

Reference 15

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Observation bb4fc4e4-9a82-41d9-a67c-f89eab5db4f7 · outbound

This paper cites Learning multiple layers of features from tiny images.

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Learning multiple layers of features from tiny images

Reference 16

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Source-reported events for the cited work

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This paper cites ArviZ a unified library for exploratory analysis of Bayesian models in Python.

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm ArviZ a unified library for exploratory analysis of Bayesian models in Python

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e4a1b9df-aa29-4d64-abaf-2078f257d950 · outbound

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Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Gradient-based learning applied to document recognition

Reference 18

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Unavailable: canonical work link unavailable.

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Observation a80720ba-7514-4b1c-89e9-55552c88ab82 · outbound

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Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Bayesian Learning for Neural Networks

Reference 19

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Observation cc10b6c8-d6cf-43b4-9a71-420996a0e2e1 · outbound

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Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Slice sampling

Reference 20

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Source-reported events for the cited work

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Observation faa6d1cf-9883-4ff8-b884-bc3fba9cb774 · outbound

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Backpropagation-Free Metropolis-Adjusted Langevin Algorithm MCMC Using Hamiltonian Dynamics

Reference 21

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Source-reported events for the cited work

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This paper cites Pytorch: An imperative style, high-performance deep learning library.

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Pytorch: An imperative style, high-performance deep learning library

Reference 22

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Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Fast exact multiplication by the Hessian

Reference 23

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Observation 383b0c88-32e2-4ef0-b21d-42ceb4ed4ceb · outbound

This paper cites Scaling Forward Gradient With Local Losses.

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Scaling Forward Gradient With Local Losses

Reference 24

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Observation 0eabbe41-7e3a-41f0-be09-5486b17ba121 · outbound

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Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Langevin diffusions and metropolis-hastings algorithms

Reference 25

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Observation 394dd6a3-4693-45fb-99dd-4eace8b8b0aa · outbound

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Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Rosenbrock

Reference 26

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Source-reported events for the cited work

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Observation 8be649af-c3f2-4dd0-b1df-092e5da68f1e · outbound

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Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Brownian dynamics as smart Monte Carlo simulation

Reference 27

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Source-reported events for the cited work

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Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Learning by directional gradient descent

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Backpropagation-Free Metropolis-Adjusted Langevin Algorithm A simple automatic derivative evaluation program

Reference 29

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Observation fd48314c-6ffb-4dad-aecf-a59086c433c5 · outbound

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Backpropagation-Free Metropolis-Adjusted Langevin Algorithm Langevin diffusions and the Metropolis-adjusted Langevin algorithm

Reference 30

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This paper cites /homes/usr/lib/scripts/Sampling/cifar10_cnn/cifar10_time.py.

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm /homes/usr/lib/scripts/Sampling/cifar10_cnn/cifar10_time.py

Reference 31

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