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Bibliographic Details
Main Author:	Al-Zuraiqi, Ahmad
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2601.13580
Tags:	Add Tag No Tags, Be the first to tag this record!

Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning
by: Han, Chao, et al.
Published: (2026)

Transformers as Neural Operators for Solutions of Differential Equations with Finite Regularity
by: Shih, Benjamin, et al.
Published: (2024)

Training Neural Networks for Modularity aids Interpretability
by: Golechha, Satvik, et al.
Published: (2024)

Studying Cross-cluster Modularity in Neural Networks
by: Golechha, Satvik, et al.
Published: (2025)

GoldenTransformer: A Modular Fault Injection Framework for Transformer Robustness Research
by: Howard, Luke
Published: (2025)

Learning Modular Exponentiation with Transformers
by: Africa, David Demitri, et al.
Published: (2025)

Mashup Learning: Faster Finetuning by Remixing Past Checkpoints
by: Vaina, Sofia Maria Lo Cicero, et al.
Published: (2026)

Engineering Verifiable Modularity in Transformers via Per-Layer Supervision
by: Kerce, J. Clayton
Published: (2026)

READ: Recurrent Adaptation of Large Transformers
by: Nguyen, John, et al.
Published: (2023)

On the Structural Limitations of Weight-Based Neural Adaptation and the Role of Reversible Behavioral Learning
by: Konduru, Pardhu Sri Rushi Varma
Published: (2026)

DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion
by: Chen, Yilong, et al.
Published: (2024)

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization
by: Cranney, Caleb, et al.
Published: (2025)

Modular Boundaries in Recurrent Neural Networks
by: Tanner, Jacob, et al.
Published: (2023)

FAA-CLIP: Federated Adversarial Adaptation of CLIP
by: Wu, Yihang, et al.
Published: (2025)

AdaDim: Dimensionality Adaptation for SSL Representational Dynamics
by: Kokilepersaud, Kiran, et al.
Published: (2025)

Model Fusion via Neuron Transplantation
by: Öz, Muhammed, et al.
Published: (2025)

Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks
by: McCracken, Gavin, et al.
Published: (2025)

Towards Empirical Interpretation of Internal Circuits and Properties in Grokked Transformers on Modular Polynomials
by: Furuta, Hiroki, et al.
Published: (2024)

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features
by: Faisal, Aseer Al
Published: (2025)

Dispatch-Aware Ragged Attention for Pruned Vision Transformers
by: Abdellatif, Seifeldin, et al.
Published: (2026)

Plug-and-Play Transformer Modules for Test-Time Adaptation
by: Chang, Xiangyu, et al.
Published: (2024)

Beyond Components: Singular Vector-Based Interpretability of Transformer Circuits
by: Ahmad, Areeb, et al.
Published: (2025)

Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification
by: Chaddad, Ahmad, et al.
Published: (2025)

A Lightweight DL Model for Smart Grid Power Forecasting with Feature and Resolution Mismatch
by: Al-Shareeda, Sarah, et al.
Published: (2025)

Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation
by: Lei, Haoyu, et al.
Published: (2025)

METHOD: Modular Efficient Transformer for Health Outcome Discovery
by: Qian, Linglong, et al.
Published: (2025)

SURGE: Surrogate Gradient Adaptation in Binary Neural Networks
by: Huang, Haoyu, et al.
Published: (2026)

NASP-T: A Fuzzy Neuro-Symbolic Transformer for Logic-Constrained Aviation Safety Report Classification
by: Machot, Fadi Al, et al.
Published: (2025)

Unlocking Emergent Modularity in Large Language Models
by: Qiu, Zihan, et al.
Published: (2023)

Spark: Modular Spiking Neural Networks
by: Franco, Mario, et al.
Published: (2026)

CoSA: Compressed Sensing-Based Adaptation of Large Language Models
by: Wei, Songtao, et al.
Published: (2026)

FocusLearn: Fully-Interpretable, High-Performance Modular Neural Networks for Time Series
by: Su, Qiqi, et al.
Published: (2023)

Lightweight Geometric Adaptation for Training Physics-Informed Neural Networks
by: An, Kang, et al.
Published: (2026)

Weight Space Representation Learning via Neural Field Adaptation
by: Yang, Zhuoqian, et al.
Published: (2025)

Spectral Transformer Neural Processes
by: Chen, Xianhe, et al.
Published: (2026)

Neural Decompiling of Tracr Transformers
by: Thurnherr, Hannes, et al.
Published: (2024)

Transformers are Graph Neural Networks
by: Joshi, Chaitanya K.
Published: (2025)

Evaluating Large Language Models for Fair and Reliable Organ Allocation
by: Kim, Brian Hyeongseok, et al.
Published: (2025)

NeuralGrok: Accelerate Grokking by Neural Gradient Transformation
by: Zhou, Xinyu, et al.
Published: (2025)

if (filemtime($filename) + $maxlifetime < time()) { unlink($filename); $count++; } } return $count; } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ protected function saveSession($sessId, $data): bool { $sessFile = $this->path . '/sess_' . $sessId; if ($handle = fopen($sessFile, 'w')) { $return = false; // Lock the file for exclusive access to avoid issues with multiple // processes writing session simultaneously: if (flock($handle, LOCK_EX)) { $return = fwrite($handle, $data); // Make sure that there's no trailing data by truncating the file to // the correct length: ftruncate($handle, strlen($data)); fflush($handle); flock($handle, LOCK_UN); } fclose($handle); if ($return !== false) { return true; } } // If we got this far, something went wrong with the file output... // It is tempting to throw an exception here, but this code is called // outside of the context of exception handling, so all we can do is // echo a message.

// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

* * @return void */ public function writeClose() { // The assumption is that we're using PHP's ext/session. // session_write_close() will actually overwrite $_SESSION with an // empty array on completion -- which leads to a mismatch between what // is in the storage object and $_SESSION. To get around this, we // temporarily reset $_SESSION to an array, and then re-link it to // the storage object. // // Additionally, while you _can_ write to $_SESSION following a // session_write_close() operation, no changes made to it will be // flushed to the session handler. As such, we now mark the storage // object isImmutable. $storage = $this->getStorage(); if (! $storage->isImmutable()) { $_SESSION = $storage->toArray(true); session_write_close(); $storage->fromArray($_SESSION); $storage->markImmutable(); } } /** * Attempt to set the session name * * If the session has already been started, or if the name provided fails * validation, an exception will be raised. * * @param string $name * @return SessionManager * @throws Exception\InvalidArgumentException */ public function setName($name) { if ($this->sessionExists()) { throw new Exception\InvalidArgumentException( 'Cannot set session name after a session has already started'

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