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Paper Citation Record · LEDGER

Introduction to Predictive Coding Networks for Machine Learning

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2506.06332.

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

pith.paper-citation-record.v1
2506.06332 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:13:20.108772Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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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  • verified fuzzy7
  • unresolved17
  • parse uncertain0
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External citation measurements

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Outbound references

Observation b4eb4b62-2907-4550-b645-053151907b47 · outbound

This paper cites Predictive coding: A brief introduction and review for machine learning researchers, 2022.

Introduction to Predictive Coding Networks for Machine Learning Predictive coding: A brief introduction and review for machine learning researchers, 2022

Reference 1

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Observation bdeefa5b-8589-49ff-b20e-ea9295c39811 · outbound

This paper cites A theoretical framework for inference learning.

Introduction to Predictive Coding Networks for Machine Learning A theoretical framework for inference learning

Reference 2

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Observation 89d1c84e-1d71-42b5-aa6a-33831f5b4cd6 · outbound

This paper cites an unresolved cited work.

Introduction to Predictive Coding Networks for Machine Learning Unresolved cited work

Reference 3

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Observation 1c11422f-2278-4e66-bbae-9faffa727401 · outbound

This paper cites Bastos, W.

Introduction to Predictive Coding Networks for Machine Learning Bastos, W

Reference 4

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Observation 3fe61102-b8dc-459f-9d20-611b9afc2af3 · outbound

This paper cites Caucheteux, A.

Introduction to Predictive Coding Networks for Machine Learning Caucheteux, A

Reference 5

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Observation e9c56277-0001-4d17-865e-0225c1d7d8cb · outbound

This paper cites Loihi: A neuromorphic manycore processor with on-chip learning.IEEE Micro, 38(1):82–99, 2018.

Introduction to Predictive Coding Networks for Machine Learning Loihi: A neuromorphic manycore processor with on-chip learning.IEEE Micro, 38(1):82–99, 2018

Reference 6

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Observation f1a8b001-4483-4e2c-971d-1e2329e96984 · outbound

This paper cites (Non-)Convergence results for predictive coding networks.

Introduction to Predictive Coding Networks for Machine Learning (Non-)Convergence results for predictive coding networks

Reference 7

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Source-reported events for the cited work

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Observation 752c0f28-3c3a-4f96-8d02-514732c5b34f · outbound

This paper cites A theory of cortical responses.Philosophical Transactions of the Royal Society B: Biological Sciences, 360(1456):815–836, 2005.doi:10.1098/rstb.2005.1622.

Introduction to Predictive Coding Networks for Machine Learning A theory of cortical responses.Philosophical Transactions of the Royal Society B: Biological Sciences, 360(1456):815–836, 2005.doi:10.1098/rstb.2005.1622

Reference 8

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Observation b97044ba-6a51-4720-abeb-9589815efaaf · outbound

This paper cites The free-energy principle: a unified brain theory?Nature Reviews Neuro- science, 11(2):127–138, 2010.doi:10.1038/nrn2787.

Introduction to Predictive Coding Networks for Machine Learning The free-energy principle: a unified brain theory?Nature Reviews Neuro- science, 11(2):127–138, 2010.doi:10.1038/nrn2787

Reference 9

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Observation 6dd20715-ac1f-4697-9748-015ffe1c2fe7 · outbound

This paper cites an unresolved cited work.

Introduction to Predictive Coding Networks for Machine Learning Unresolved cited work

Reference 10

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Observation a7388ad8-9e49-48bb-80c0-1378d1a2d47e · outbound

This paper cites World Models.

Introduction to Predictive Coding Networks for Machine Learning World Models

Reference 11

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Observation c4341a11-45f4-4822-99b2-ce4a4857bc2b · outbound

This paper cites Dover, New York, 1867.

Introduction to Predictive Coding Networks for Machine Learning Dover, New York, 1867

Reference 12

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Source-reported events for the cited work

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Observation d00a1dd8-af96-421c-9a56-8c869879f7b4 · outbound

This paper cites Keller and Thomas D.

Introduction to Predictive Coding Networks for Machine Learning Keller and Thomas D

Reference 13

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Observation ecfa6da9-9dac-4d3b-ae0e-443545f03f74 · outbound

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

Introduction to Predictive Coding Networks for Machine Learning Learning multiple layers of features from tiny images

Reference 14

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Observation 938dc18a-8fb6-44b8-8eb9-8db5c18c04ef · outbound

This paper cites Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning.

Introduction to Predictive Coding Networks for Machine Learning Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning

Reference 15

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Observation 6fe6fa7b-f015-44c2-bede-2acd089a091a · outbound

This paper cites Tight stability, convergence, and robustness bounds for predictive coding networks.

Introduction to Predictive Coding Networks for Machine Learning Tight stability, convergence, and robustness bounds for predictive coding networks

Reference 16

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Observation 79c17bde-e13c-4ad9-9995-ee2a365ea326 · outbound

This paper cites Predictive coding as backprop and natu- ral gradients, 2020.

Introduction to Predictive Coding Networks for Machine Learning Predictive coding as backprop and natu- ral gradients, 2020

Reference 17

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 01aa8439-70c9-4951-b177-1d31a6787153 · outbound

This paper cites Predictive Coding: a Theoretical and Experimental Review.

Introduction to Predictive Coding Networks for Machine Learning Predictive Coding: a Theoretical and Experimental Review

Reference 18

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Observation eb14d678-614c-4869-ad76-853105177459 · outbound

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Introduction to Predictive Coding Networks for Machine Learning Unresolved cited work

Reference 19

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Observation 59b130c3-07d9-4a60-9bdc-f320ea1bc8ea · outbound

This paper cites An introduction to predictive coding networks for machine learning, 2025.

Introduction to Predictive Coding Networks for Machine Learning An introduction to predictive coding networks for machine learning, 2025

Reference 20

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Observation 8073c3e4-d92d-4600-b71e-3579e3fb420f · outbound

This paper cites On the computational architecture of the neocortex.

Introduction to Predictive Coding Networks for Machine Learning On the computational architecture of the neocortex

Reference 21

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Observation cc7afff3-28d9-4a3e-b178-808932a15086 · outbound

This paper cites Predictive Coding with Spiking Neural Networks: a Survey.

Introduction to Predictive Coding Networks for Machine Learning Predictive Coding with Spiking Neural Networks: a Survey

Reference 22

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Observation 030944de-eb71-43f0-8960-02b0bcc91fa8 · outbound

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Introduction to Predictive Coding Networks for Machine Learning Unresolved cited work

Reference 23

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Observation 9f05abf5-51a7-4182-87be-3ab94d6fe569 · outbound

This paper cites A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks.

Introduction to Predictive Coding Networks for Machine Learning A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks

Reference 24

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Observation 666f78d7-5005-402c-9500-7dfa7d6204c6 · outbound

This paper cites Learning factorial codes by predictability minimization.Neural Computation, 4(6):863–879, 1992.doi:10.1162/neco.1992.4.6.863.

Introduction to Predictive Coding Networks for Machine Learning Learning factorial codes by predictability minimization.Neural Computation, 4(6):863–879, 1992.doi:10.1162/neco.1992.4.6.863

Reference 25

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Observation d03f52b0-8564-453a-9d56-c8341b63216e · outbound

This paper cites Neural elements for predictive coding.Frontiers in Psychology, 7:1792, 2016.doi:10.3389/fpsyg.2016.01792.

Introduction to Predictive Coding Networks for Machine Learning Neural elements for predictive coding.Frontiers in Psychology, 7:1792, 2016.doi:10.3389/fpsyg.2016.01792

Reference 26

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Observation 2dfde4d2-7eaa-4bc2-a50f-d267917f4aa9 · outbound

This paper cites Can the brain do backpropagation? — exact implementation of backpropagation in predictive coding networks.

Introduction to Predictive Coding Networks for Machine Learning Can the brain do backpropagation? — exact implementation of backpropagation in predictive coding networks

Reference 27

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Observation 79c4626c-3b8f-4bbf-94a1-3ea43699a6eb · outbound

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Introduction to Predictive Coding Networks for Machine Learning Spratling

Reference 28

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Observation 94098791-a1b5-4aa2-b74c-f996d40f675b · outbound

This paper cites Seth, and Christopher L.

Introduction to Predictive Coding Networks for Machine Learning Seth, and Christopher L

Reference 29

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Observation f0be3d25-b13e-490f-abac-27f092865bf8 · outbound

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Introduction to Predictive Coding Networks for Machine Learning Unresolved cited work

Reference 30

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Observation 8e629c01-fc66-4e32-b72a-630225449d69 · outbound

This paper cites an unresolved cited work.

Introduction to Predictive Coding Networks for Machine Learning Unresolved cited work

Reference 31

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Pith citing papers

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