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Paper Citation Record · LEDGER

Adaptive Variance-Penalized Continual Learning with Fisher Regularization

As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2508.16632.

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

pith.paper-citation-record.v1
2508.16632 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:48:06.733919Z

measured 22 of 22 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T08:53:13.455361Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T08:58:12.969644Z

Reference resolution

21 of 21 outbound references displayed

  • verified exact1
  • verified fuzzy12
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87b33e33-13da-4e6f-9282-9070b8165b51 · outbound

This paper cites Continual lifelong learning with neural networks: A review,.

Adaptive Variance-Penalized Continual Learning with Fisher Regularization Continual lifelong learning with neural networks: A review,

Reference 1

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unresolved
no resolver link, observed 2026-08-05T19:48:05.803751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation af4b7f1e-33b6-4a68-a7f3-461781923a3a · outbound

This paper cites Variational contin- ual learning,.

Adaptive Variance-Penalized Continual Learning with Fisher Regularization Variational contin- ual learning,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-05T19:48:09.346029Z

Source-reported events for the cited work

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

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Observation ca0214bc-ad55-4912-a666-345c87a9c85b · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

Adaptive Variance-Penalized Continual Learning with Fisher Regularization Overcoming catastrophic forgetting in neural networks,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:48:09.186136Z

Source-reported events for the cited work

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

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Observation 1f78e7b6-e8ac-48b7-b9f8-acc7965b124a · outbound

This paper cites Catastrophic interference in con- nectionist networks: The sequential learning problem,.

Adaptive Variance-Penalized Continual Learning with Fisher Regularization Catastrophic interference in con- nectionist networks: The sequential learning problem,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-05T19:48:08.987746Z

Source-reported events for the cited work

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

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Observation c28a9309-0143-43bc-946f-9f997a101a1e · outbound

This paper cites Connectionist models of recognition memory: Con- straints imposed by learning and forgetting functions,.

Adaptive Variance-Penalized Continual Learning with Fisher Regularization Connectionist models of recognition memory: Con- straints imposed by learning and forgetting functions,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-05T19:48:08.752969Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T19:48:05.967508Z digest=sha256:368e01cef0f9a55400235fb540dada9119c48067e08c30bc716e66546f57c681

Observation 14dab600-4d4e-4abe-ab80-86b89c047c3c · outbound

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

Adaptive Variance-Penalized Continual Learning with Fisher Regularization An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T19:48:06.015825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:48:06.015825Z digest=sha256:fcc00fd0b14b49a6480eb0e535dcc73265a6aae3f20676ab19beb9e9e35db0f0

Observation b246d0d9-c44d-4df8-849a-0d7d2acb8c92 · outbound

This paper cites Biological continual learning: A neuro- inspired approach,.

Adaptive Variance-Penalized Continual Learning with Fisher Regularization Biological continual learning: A neuro- inspired approach,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:48:08.536691Z

Source-reported events for the cited work

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

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Observation be1f6cbf-d71f-4c28-9ef6-b05c783f1288 · outbound

This paper cites Practical Deep Learning with Bayesian Principles.

Adaptive Variance-Penalized Continual Learning with Fisher Regularization Practical Deep Learning with Bayesian Principles

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-05T19:48:07.187330Z

Source-reported events for the cited work

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

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Observation af672d7d-d603-40cd-9139-8572fe411d7f · outbound

This paper cites Note on the quadratic penalties in elastic weight consolidation,.

Adaptive Variance-Penalized Continual Learning with Fisher Regularization Note on the quadratic penalties in elastic weight consolidation,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-05T19:48:08.386932Z

Source-reported events for the cited work

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

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Observation 675d882a-6cf6-4c2c-b708-29f79631118e · outbound

This paper cites Sector Rotation by Factor Model and Fundamental Analysis.

Adaptive Variance-Penalized Continual Learning with Fisher Regularization Sector Rotation by Factor Model and Fundamental Analysis

Reference 10

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unresolved
no resolver link, observed 2026-08-05T19:48:06.230072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:48:06.230072Z digest=sha256:9fdd0b60635ba93c66660eb3e2496fb80b1b8e1ff7bfcea40d28e155a201e849

Observation a7a51922-666e-4d9a-bb6d-27e778db4613 · outbound

This paper cites Three scenarios for continual learning.

Adaptive Variance-Penalized Continual Learning with Fisher Regularization Three scenarios for continual learning

Reference 11

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unresolved
no resolver link, observed 2026-08-05T19:48:06.288709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:48:06.288709Z digest=sha256:c66e6b3a37f3cf7a3336989bb9532ff5cf7f9e45654d37d35b0ee06fe2308186

Observation 3ca117a9-57df-45fb-bca9-eb93ad3c7542 · outbound

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

Adaptive Variance-Penalized Continual Learning with Fisher Regularization A continual learning survey: Defying forgetting in classification tasks,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:48:08.149104Z

Source-reported events for the cited work

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

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Observation 5f3f7d12-d56c-4cb3-99dc-5be9db89034e · outbound

This paper cites Continual Learning Through Synaptic Intelligence.

Adaptive Variance-Penalized Continual Learning with Fisher Regularization Continual Learning Through Synaptic Intelligence

Reference 13

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unresolved
no resolver link, observed 2026-08-05T19:48:06.362999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:48:06.362999Z digest=sha256:8c1600b4e6c18e049bfaae4b6ab4e9a342384e5acede9b3c046a4dd00e952b26

Observation 7835b4ab-e841-45aa-8d5e-d03611781e3e · outbound

This paper cites Likelihood-based continual learning with fixed model structure,.

Adaptive Variance-Penalized Continual Learning with Fisher Regularization Likelihood-based continual learning with fixed model structure,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-05T19:48:07.948258Z

Source-reported events for the cited work

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

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Observation ce62b6f6-03f9-4115-9728-cc7874561d49 · outbound

This paper cites Experience replay for continual learning,.

Adaptive Variance-Penalized Continual Learning with Fisher Regularization Experience replay for continual learning,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:48:07.813816Z

Source-reported events for the cited work

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

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Observation 36ebc617-0798-4e9d-b81f-9bab3581d0cd · outbound

This paper cites Continual Learning with Deep Generative Replay.

Adaptive Variance-Penalized Continual Learning with Fisher Regularization Continual Learning with Deep Generative Replay

Reference 16

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unresolved
no resolver link, observed 2026-08-05T19:48:06.503075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 20e001a5-b1d1-4de4-ac85-3e1bf2cfc57f · outbound

This paper cites Progress & compress: A scalable framework for continual learning,.

Adaptive Variance-Penalized Continual Learning with Fisher Regularization Progress & compress: A scalable framework for continual learning,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:48:07.671893Z

Source-reported events for the cited work

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

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Observation 3686bcb8-03d0-40e8-9e51-efff0a7c3579 · outbound

This paper cites Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework.

Adaptive Variance-Penalized Continual Learning with Fisher Regularization Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T19:48:06.943055Z

Source-reported events for the cited work

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

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Observation 3a252d6f-c7d4-4fa3-8183-3455fdc312ae · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Adaptive Variance-Penalized Continual Learning with Fisher Regularization Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 19

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unresolved
no resolver link, observed 2026-08-05T19:48:06.642942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d888ab01-0f1c-46de-af4d-0a7ea958c3df · outbound

This paper cites Learning multiple layers of fea- tures from tiny images,.

Adaptive Variance-Penalized Continual Learning with Fisher Regularization Learning multiple layers of fea- tures from tiny images,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:48:07.481302Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T19:48:06.696102Z digest=sha256:2dec20e7362bcfdf05628910f2620d6fb7eef52439452ffc3ed165df68f0ca91

Observation 411a7934-340c-448d-9938-ce172c8bc910 · outbound

This paper cites Orthogonal gradient descent for continual learning,.

Adaptive Variance-Penalized Continual Learning with Fisher Regularization Orthogonal gradient descent for continual learning,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:48:07.341951Z

Source-reported events for the cited work

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

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Pith citing papers

Observation cdb3b750-2dad-4e7a-8c08-ae17651e43c7 · inbound

AIFIND: Artifact-Aware Interpreting Fine-Grained Alignment for Incremental Face Forgery Detection cites this paper.

AIFIND: Artifact-Aware Interpreting Fine-Grained Alignment for Incremental Face Forgery Detection Adaptive Variance-Penalized Continual Learning with Fisher Regularization

Reference 30

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arxiv_id, observed 2026-05-10T08:58:12.971496Z

Source-reported events for the cited work

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

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