Paper Citation Record · LEDGER

Maintain Plasticity in Long-timescale Continual Test-time Adaptation

As of 12 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2412.20034.

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

pith.paper-citation-record.v1
2412.20034 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:44:44.037966Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

44 of 44 outbound references displayed

verified exact0
verified fuzzy29
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8f0ff9fc-8ede-43b6-bcea-59090b661526 · outbound

This paper cites Synaptic plasticity: taming the beast.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Synaptic plasticity: taming the beast

Reference 1

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Observation 11306728-6eea-4dae-b001-baebc02e7426 · outbound

This paper cites On warm-starting neural network training.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation On warm-starting neural network training

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:44:44.508437Z

Source-reported events for the cited work

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Observation e8f96a78-9fa2-4d38-a85c-e9aa05c1f5e9 · outbound

This paper cites The influence of age of acquisition in word reading and other tasks: A never ending story? Journal of Memory and language, 50(4):456–476, 2004.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation The influence of age of acquisition in word reading and other tasks: A never ending story? Journal of Memory and language, 50(4):456–476, 2004

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:44:44.497584Z

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Observation 12550f18-b924-48f8-9326-21ec5b297fc2 · outbound

This paper cites Autodial: Automatic domain alignment layers.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Autodial: Automatic domain alignment layers

Reference 4

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Observation 59ec2c82-bc63-45e8-91a4-d40ba76313ae · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Imagenet: A large-scale hierarchical image database

Reference 5

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Source-reported events for the cited work

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Observation b654ca2d-f961-4b13-94dc-c990b80f32b4 · outbound

This paper cites Re- ducing flipping errors in deep neural networks.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Re- ducing flipping errors in deep neural networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:44:44.467823Z

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Observation 9f4ffad0-069c-45a9-9540-9f807f93637b · outbound

This paper cites Robust mean teacher for continual and gradual test-time adaptation.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Robust mean teacher for continual and gradual test-time adaptation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:44:44.456743Z

Source-reported events for the cited work

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Observation dc97cee8-15fe-4980-82a7-031aec9e7f84 · outbound

This paper cites Loss of plasticity in deep continual learning.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Loss of plasticity in deep continual learning

Reference 8

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Observation 25572e7d-8a39-4fc7-8993-4313ddd27efa · outbound

This paper cites Domain-adversarial training of neural networks.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Domain-adversarial training of neural networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:44:44.434739Z

Source-reported events for the cited work

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Observation 3cf68edc-4e6d-47ab-8c6e-93c0926887a0 · outbound

This paper cites Test time adaptation via conjugate pseudo-labels.Ad- vances in Neural Information Processing Systems, 35:6204– 6218, 2022.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Test time adaptation via conjugate pseudo-labels.Ad- vances in Neural Information Processing Systems, 35:6204– 6218, 2022

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:44:44.424008Z

Source-reported events for the cited work

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Observation 2e38d760-4892-45a1-8e9a-b242b1f3d8bf · outbound

This paper cites Deep residual learning for image recognition.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Deep residual learning for image recognition

Reference 11

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Observation b1436f65-6ac7-4df5-9e7c-e7c5abf6dd12 · outbound

This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Reference 12

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Observation 18cc9e32-e2a1-47a1-94a2-99d08455db12 · outbound

This paper cites 3d common corruptions and data augmentation.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation 3d common corruptions and data augmentation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:44:44.406539Z

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Observation 247676d5-079e-4012-af96-0f680bd3ec75 · outbound

This paper cites Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning

Reference 14

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Observation d3c22927-95eb-41ae-97fb-f7b098ad3292 · outbound

This paper cites Adaptive batch normalization for practical do- main adaptation.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Adaptive batch normalization for practical do- main adaptation

Reference 15

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Observation dc0b8fa8-0991-4c7c-b1aa-8ca73fb313f5 · outbound

This paper cites Consistent123: One image to highly consistent 3d asset using case-aware diffusion priors.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Consistent123: One image to highly consistent 3d asset using case-aware diffusion priors

Reference 16

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Observation bcaaabb6-70e8-4fd9-8ce2-f9c6c8d93b6f · outbound

This paper cites Learning transferable features with deep adaptation net- works.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Learning transferable features with deep adaptation net- works

Reference 17

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Source-reported events for the cited work

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Observation 4ccf1172-0ab9-477c-8eab-11707084e0da · outbound

This paper cites Conditional adversarial domain adapta- tion.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Conditional adversarial domain adapta- tion

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:44:44.363336Z

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Observation 3f612d34-6182-40e3-bdae-1d12ba828e41 · outbound

This paper cites Switching between tasks can cause ai to lose the ability to learn, 2024.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Switching between tasks can cause ai to lose the ability to learn, 2024

Reference 19

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Observation d6b02944-d03c-4be9-bd4f-7c8ecd7f9955 · outbound

This paper cites Understanding plasticity in neural networks.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Understanding plasticity in neural networks

Reference 20

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Observation 9f5679ec-4b65-4557-9994-7bc7167601c1 · outbound

This paper cites The stability-plasticity dilemma: Investigating the contin- uum from catastrophic forgetting to age-limited learning ef- fects, 2013.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation The stability-plasticity dilemma: Investigating the contin- uum from catastrophic forgetting to age-limited learning ef- fects, 2013

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:44:44.329879Z

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Observation a4583a79-4610-4444-9d00-cef2f823a533 · outbound

This paper cites Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation

Reference 22

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Observation 3258adb5-dd45-4728-9de3-acce5f304808 · outbound

This paper cites Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 23

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Observation c248360a-6570-4a22-bc4d-6e08de698369 · outbound

This paper cites Deep re- inforcement learning with plasticity injection.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Deep re- inforcement learning with plasticity injection

Reference 24

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Observation 0b61cc22-05f4-4722-b7df-f1a6a74e40a1 · outbound

This paper cites Efficient test-time model adaptation without forgetting.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Efficient test-time model adaptation without forgetting

Reference 25

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Observation 1af415c6-f60d-4e19-9e24-e1f348d30536 · outbound

This paper cites Rdumb: A simple approach that questions our progress in continual test-time adaptation.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Rdumb: A simple approach that questions our progress in continual test-time adaptation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:44:44.299541Z

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Observation cdbc1844-0f1a-4707-8ece-34609f27f0bf · outbound

This paper cites The Entropy Enigma: Success and Failure of Entropy Minimization.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation The Entropy Enigma: Success and Failure of Entropy Minimization

Reference 27

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Observation df17e95c-5816-40f4-89a6-fad30d6cc320 · outbound

This paper cites Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference

Reference 28

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Observation 697afad4-37a1-4c97-9976-135c367c598a · outbound

This paper cites If your data distribution shifts, use self-learning.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation If your data distribution shifts, use self-learning

Reference 29

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This paper cites Improving robustness against common corruptions by covariate shift adaptation.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Improving robustness against common corruptions by covariate shift adaptation

Reference 30

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Observation 41737842-b0b8-4701-8358-2af0b950b743 · outbound

This paper cites The dormant neuron phenomenon in deep rein- forcement learning.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation The dormant neuron phenomenon in deep rein- forcement learning

Reference 31

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Observation c6e2302b-db4f-4b04-9475-be09dec4fa60 · outbound

This paper cites Ecotta: Memory-efficient continual test-time adaptation via self-distilled regularization.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Ecotta: Memory-efficient continual test-time adaptation via self-distilled regularization

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:44:44.264591Z

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Observation 639b4b17-017c-4b5a-81fa-4463f70df91d · outbound

This paper cites Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Reference 33

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This paper cites An Empirical Study of Example Forgetting during Deep Neural Network Learning.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation An Empirical Study of Example Forgetting during Deep Neural Network Learning

Reference 34

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This paper cites Learning to adapt structured output space for semantic seg- mentation.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Learning to adapt structured output space for semantic seg- mentation

Reference 35

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This paper cites Adversarial discriminative domain adaptation.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Adversarial discriminative domain adaptation

Reference 36

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This paper cites Tent: Fully Test-time Adaptation by Entropy Minimization.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Tent: Fully Test-time Adaptation by Entropy Minimization

Reference 37

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Observation 68d7e991-2d48-43fe-99e0-92f6025d451c · outbound

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

Maintain Plasticity in Long-timescale Continual Test-time Adaptation A comprehensive survey of continual learning: theory, method and application

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:44:44.231163Z

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Observation 90d9c4d4-0bc8-4ebb-bd00-f728b653a9bc · outbound

This paper cites Improving plasticity in online continual learning via collaborative learning.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Improving plasticity in online continual learning via collaborative learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:44:44.219010Z

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Observation 81fff8f8-7d9c-474e-92a0-a7550c74ad31 · outbound

This paper cites Continual test-time domain adaptation.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Continual test-time domain adaptation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:44:44.206924Z

Source-reported events for the cited work

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Observation ddf8fc4f-61bf-451f-a6e2-04335f293e30 · outbound

This paper cites Continual test-time domain adaptation via dynamic sample selection.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Continual test-time domain adaptation via dynamic sample selection

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:44:44.196171Z

Source-reported events for the cited work

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Observation af43229a-ece3-4e76-b8c7-8e6291a582de · outbound

This paper cites Age of acquisition effects in word reading and other tasks.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Age of acquisition effects in word reading and other tasks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:44:44.184807Z

Source-reported events for the cited work

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Observation f1c19c9a-265a-4906-8e64-cda5209ff214 · outbound

This paper cites Unsupervised domain adaptation for semantic segmentation via class-balanced self-training.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Unsupervised domain adaptation for semantic segmentation via class-balanced self-training

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:44:44.173523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3a1bb3d6-10f3-4de9-9cb5-a6798fa85c55 · outbound

This paper cites Confidence regularized self-training.

Maintain Plasticity in Long-timescale Continual Test-time Adaptation Confidence regularized self-training

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:44:44.159818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.