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Paper Citation Record · LEDGER

Continual Learning with Columnar Spiking Neural Networks

As of 20 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2506.17169.

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

pith.paper-citation-record.v1
2506.17169 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:16:40.913941Z

measured 33 of 33 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

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved16
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9931a556-83e2-4d7e-ae36-45ec0f97bbb9 · outbound

This paper cites an unresolved cited work.

Continual Learning with Columnar Spiking Neural Networks Unresolved cited work

Reference 1

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Observation fe2597b3-404a-4cf7-86e6-dc42c40eef99 · outbound

This paper cites an unresolved cited work.

Continual Learning with Columnar Spiking Neural Networks Unresolved cited work

Reference 2

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Observation ad8188c5-0e7c-4ace-81fd-75a7ecefd90f · outbound

This paper cites an unresolved cited work.

Continual Learning with Columnar Spiking Neural Networks Unresolved cited work

Reference 3

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8a91c9b3-4eb9-4bb0-8bd0-eacf0442033d · outbound

This paper cites Connectionist models of recognition memory: Constraints imposed by learning and forgetting functions.

Continual Learning with Columnar Spiking Neural Networks Connectionist models of recognition memory: Constraints imposed by learning and forgetting functions

Reference 4

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 76033c45-f5d4-475e-85be-2c9cb764beb4 · outbound

This paper cites Spike Neural Networks: Information Representation, Learning, Memory.

Continual Learning with Columnar Spiking Neural Networks Spike Neural Networks: Information Representation, Learning, Memory

Reference 5

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6c0d0a7b-1356-442c-ac47-9c27222e8105 · outbound

This paper cites Antonov, K.V.

Continual Learning with Columnar Spiking Neural Networks Antonov, K.V

Reference 6

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Observation 93a620ca-de31-4d0b-a396-f4dbe93f09bf · outbound

This paper cites CoLaNET -- A Spiking Neural Network with Columnar Layered Architecture for Classification.

Continual Learning with Columnar Spiking Neural Networks CoLaNET -- A Spiking Neural Network with Columnar Layered Architecture for Classification

Reference 7

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Source-reported events for the cited work

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Observation 4a41f37d-18ee-4399-aa0a-62e9e41dffba · outbound

This paper cites Classifying Images with CoLaNET Spiking Neural Network -- the MNIST Example.

Continual Learning with Columnar Spiking Neural Networks Classifying Images with CoLaNET Spiking Neural Network -- the MNIST Example

Reference 8

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Observation a56c7244-0c8f-4d33-85e3-6b2e208bdb71 · outbound

This paper cites A Digital Machine Learning Algorithm Simulating Spiking Neural Network CoLaNET.

Continual Learning with Columnar Spiking Neural Networks A Digital Machine Learning Algorithm Simulating Spiking Neural Network CoLaNET

Reference 9

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Observation 28e22959-5324-4750-b98b-c4e3ee26c471 · outbound

This paper cites An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks.

Continual Learning with Columnar Spiking Neural Networks An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Reference 10

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Observation 6dd8383a-6b62-472f-9642-6e2c104a8b8f · outbound

This paper cites EMNIST: an extension of MNIST to handwritten letters.

Continual Learning with Columnar Spiking Neural Networks EMNIST: an extension of MNIST to handwritten letters

Reference 11

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Observation 7482758a-3e86-409d-bb4a-42661d1ab9e9 · outbound

This paper cites Continual Learning and Catastrophic Forgetting.

Continual Learning with Columnar Spiking Neural Networks Continual Learning and Catastrophic Forgetting

Reference 12

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Observation 72694893-b231-4868-b576-48cb1fffa16d · outbound

This paper cites A comprehensive survey of continual learning: Theory, method and application.

Continual Learning with Columnar Spiking Neural Networks A comprehensive survey of continual learning: Theory, method and application

Reference 13

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Observation f0fdaf77-5973-4373-94e1-d259da6d7998 · outbound

This paper cites A continual learning survey: Defying forgetting in classification tasks.

Continual Learning with Columnar Spiking Neural Networks A continual learning survey: Defying forgetting in classification tasks

Reference 14

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Unavailable: canonical work link unavailable.

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Observation 37934993-d887-42d6-aa63-516ea7addce7 · outbound

This paper cites Costajussa.

Continual Learning with Columnar Spiking Neural Networks Costajussa

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 2b558d5a-3981-440f-a4e8-4f2e676fe004 · outbound

This paper cites Continual Learning for Large Language Models: A Survey.

Continual Learning with Columnar Spiking Neural Networks Continual Learning for Large Language Models: A Survey

Reference 16

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Observation 640d3077-34e4-43ae-9051-04148f77be31 · outbound

This paper cites Towards continual reinforcement learning: A review and perspectives.

Continual Learning with Columnar Spiking Neural Networks Towards continual reinforcement learning: A review and perspectives

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a8d4e259-a920-481d-b38e-a8d6a20fadd2 · outbound

This paper cites an unresolved cited work.

Continual Learning with Columnar Spiking Neural Networks Unresolved cited work

Reference 18

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 9e253f8c-45e5-412f-bd72-6721a8c6ae14 · outbound

This paper cites Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A.

Continual Learning with Columnar Spiking Neural Networks Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A

Reference 19

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8ba79703-0481-4215-9c96-52b9f2525974 · outbound

This paper cites Continual learning through synaptic intelligence.

Continual Learning with Columnar Spiking Neural Networks Continual learning through synaptic intelligence

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7d400caf-c18b-49b1-9cf8-a3c94845eab2 · outbound

This paper cites Understanding the role of training regimes in continual learning.

Continual Learning with Columnar Spiking Neural Networks Understanding the role of training regimes in continual learning

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 2d69aa6a-0a5e-46a3-be30-b9273e04a95e · outbound

This paper cites Efficient lifelong learning with a-gem.

Continual Learning with Columnar Spiking Neural Networks Efficient lifelong learning with a-gem

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 79f46201-4519-4772-802d-6f9a3068b1a2 · outbound

This paper cites Processing of expected and unexpected events during conditioning and attention: a psy- chophysiological theory.

Continual Learning with Columnar Spiking Neural Networks Processing of expected and unexpected events during conditioning and attention: a psy- chophysiological theory

Reference 23

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Observation 246c8ab1-94fa-4a44-8bba-c5bba5c98657 · outbound

This paper cites Mitigating forgetting in online continual learning with neuron calibration.

Continual Learning with Columnar Spiking Neural Networks Mitigating forgetting in online continual learning with neuron calibration

Reference 24

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5c65b104-1241-401a-aac2-ddbc1fa0e8ad · outbound

This paper cites Three scenarios for continual learning.

Continual Learning with Columnar Spiking Neural Networks Three scenarios for continual learning

Reference 25

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Observation b33a5cfe-a245-4a2b-b1c2-aac99051aae1 · outbound

This paper cites ArNI-X: A simple but powerful and flexible simulator for spiking neural networks, 2020.

Continual Learning with Columnar Spiking Neural Networks ArNI-X: A simple but powerful and flexible simulator for spiking neural networks, 2020

Reference 26

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 366ddc32-5cdb-4e10-84f7-bece52bf3843 · outbound

This paper cites Gradient episodic memory for continual learning.

Continual Learning with Columnar Spiking Neural Networks Gradient episodic memory for continual learning

Reference 27

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Observation 684d6dbf-8087-4dab-8363-4799b063cbc4 · outbound

This paper cites Continual learning on permuted MNIST, 2024.

Continual Learning with Columnar Spiking Neural Networks Continual learning on permuted MNIST, 2024

Reference 28

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ca3f943c-e819-4e2d-954a-b275007585ea · outbound

This paper cites Continual learning on EMNST, 2025.

Continual Learning with Columnar Spiking Neural Networks Continual learning on EMNST, 2025

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a9b68a14-a9da-4f7b-9644-2a7d5e8bc3a8 · outbound

This paper cites Learning to learn without forgetting by maximizing transfer and minimizing interference.

Continual Learning with Columnar Spiking Neural Networks Learning to learn without forgetting by maximizing transfer and minimizing interference

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation cda6e5cb-eb34-4962-88f1-8bbff1047357 · outbound

This paper cites Online continual learning with maximally interfered retrieval.

Continual Learning with Columnar Spiking Neural Networks Online continual learning with maximally interfered retrieval

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 85da899f-121e-4e62-ba65-b230083b7d5e · outbound

This paper cites an unresolved cited work.

Continual Learning with Columnar Spiking Neural Networks Unresolved cited work

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e79a6f5c-c5a8-47fe-b234-d1a4da392f7e · outbound

This paper cites Spyketorch: Efficient simulation of convolutional spiking neural networks with at most one spike per neuron.

Continual Learning with Columnar Spiking Neural Networks Spyketorch: Efficient simulation of convolutional spiking neural networks with at most one spike per neuron

Reference 33

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raw_fallback, observed 2026-08-15T19:16:41.126539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.