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Bibliographic Details
Main Author:	Laine, Timo Aukusti
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2601.11572
Tags:	Add Tag No Tags, Be the first to tag this record!

Semantic Wave Functions: Exploring Meaning in Large Language Models Through Quantum Formalism
by: Laine, Timo Aukusti
Published: (2025)

Quantum LLMs Using Quantum Computing to Analyze and Process Semantic Information
by: Laine, Timo Aukusti
Published: (2025)

Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces
by: Akkerman, Fabian, et al.
Published: (2023)

ss-Mamba: Semantic-Spline Selective State-Space Model
by: Ye, Zuochen
Published: (2025)

Analyzing and Improving the Training Dynamics of Diffusion Models
by: Karras, Tero, et al.
Published: (2023)

Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space
by: Qu, Xingwei, et al.
Published: (2025)

From Exact Hits to Close Enough: Semantic Caching for LLM Embeddings
by: Biton, Dvir David, et al.
Published: (2026)

Compelling ReLU Networks to Exhibit Exponentially Many Linear Regions at Initialization and During Training
by: Milkert, Max, et al.
Published: (2023)

ClusterKV: Manipulating LLM KV Cache in Semantic Space for Recallable Compression
by: Liu, Guangda, et al.
Published: (2024)

One Swallow Does Not Make a Summer: Understanding Semantic Structures in Embedding Spaces
by: Sun, Yandong, et al.
Published: (2025)

Embedding Knowledge Graph in Function Spaces
by: Teyou, Louis Mozart Kamdem, et al.
Published: (2024)

Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation
by: Wang, Yiming, et al.
Published: (2024)

Causal Abstraction Learning based on the Semantic Embedding Principle
by: D'Acunto, Gabriele, et al.
Published: (2025)

Scale-Consistent State-Space Dynamics via Fractal of Stationary Transformations
by: Yu, Geunhyeok, et al.
Published: (2026)

Educational Cone Model in Embedding Vector Spaces
by: Ehara, Yo
Published: (2025)

SAINT: Attention-Based Policies for Discrete Combinatorial Action Spaces
by: Landers, Matthew, et al.
Published: (2025)

GeoDynamics: A Geometric State-Space Neural Network for Understanding Brain Dynamics on Riemannian Manifolds
by: Dan, Tingting, et al.
Published: (2026)

LLM Embeddings for Deep Learning on Tabular Data
by: Koloski, Boshko, et al.
Published: (2025)

Exploiting Temporal State Space Sharing for Video Semantic Segmentation
by: Hesham, Syed Ariff Syed, et al.
Published: (2025)

On the Dynamics of Observation and Semantics
by: Li, Xiu
Published: (2026)

SemanticOpt: Towards LLM-Based Semantic Black-Box Optimization
by: Meindl, Jamison, et al.
Published: (2025)

Stability and Discretization Error of State Space Model Neural Operators
by: Bendahi, Abderrahim, et al.
Published: (2026)

Tactical Decision Making for Autonomous Trucks by Deep Reinforcement Learning with Total Cost of Operation Based Reward
by: Pathare, Deepthi, et al.
Published: (2024)

Explaining, Verifying, and Aligning Semantic Hierarchies in Vision-Language Model Embeddings
by: Schwalbe, Gesina, et al.
Published: (2026)

Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space
by: van Spengler, Max, et al.
Published: (2025)

Probing the Embedding Space of Transformers via Minimal Token Perturbations
by: Conti, Eddie, et al.
Published: (2025)

Decoupled Hierarchical Reinforcement Learning with State Abstraction for Discrete Grids
by: Xiao, Qingyu, et al.
Published: (2025)

Discrete State Diffusion Models: A Sample Complexity Perspective
by: Srikanth, Aadithya, et al.
Published: (2025)

Non-Stationarity in the Embedding Space of Time Series Foundation Models
by: Choi, Jinmyeong, et al.
Published: (2026)

Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning
by: Zhu, Yuanyang, et al.
Published: (2024)

Breaking the Grid: Distance-Guided Reinforcement Learning in Large Discrete Action Spaces
by: Hoppe, Heiko, et al.
Published: (2026)

Artificial Neural Nets and the Representation of Human Concepts
by: Freiesleben, Timo
Published: (2023)

Understanding LLM Embeddings for Regression
by: Tang, Eric, et al.
Published: (2024)

Static Word Embeddings for Sentence Semantic Representation
by: Wada, Takashi, et al.
Published: (2025)

Intrinsic-Energy Joint Embedding Predictive Architectures Induce Quasimetric Spaces
by: Kobanda, Anthony, et al.
Published: (2026)

A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space
by: Wang, Zhangyu, et al.
Published: (2024)

ES-Merging: Biological MLLM Merging via Embedding Space Signals
by: Lee, Wonbin, et al.
Published: (2026)

Minimizing Hyperbolic Embedding Distortion with LLM-Guided Hierarchy Restructuring
by: Ayoughi, Melika, et al.
Published: (2025)

Stochastic Q-learning for Large Discrete Action Spaces
by: Fourati, Fares, et al.
Published: (2024)

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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