Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:31:29.504053Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2506.16550.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:31:29.504053Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:40:30.304801Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T22:40:30.714811Z
29 of 29 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 32a610e8-a554-448e-8c07-b04a45fbb174 · outbound
A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Large Language Models: A Deep Dive: Bridging Theory and Practice
Reference 1
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A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Attention is all you need
Reference 2
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A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Lan- guage models are unsupervised multitask learners
Reference 3
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A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Deep evidential regres- sion
Reference 4
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A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Detecting hallucinations in large language models using semantic entropy
Reference 8
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A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Foundations of non-commutative probability theory
Reference 9
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A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Limit laws for random matrices and free products
Reference 10
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A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Nonlinear random matrix theory for deep learning
Reference 11
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Reference 12
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A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Free probability for predicting the per- formance of feed-forward fully connected neural networks
Reference 13
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A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Anderson, Alice Guionnet, and Ofer Zeitouni
Reference 14
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A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Computing nonvacuous generalization bounds for deep (stochastic) neural networks with many more parameters than training data
Reference 16
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A Free Probabilistic Framework for Analyzing the Transformer-based Language Models A Primer on the Inner Workings of Transformer-based Language Models
Reference 17
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A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Large language models are zero-shot time series forecasters
Reference 18
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A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Language through a prism: A spectral approach for multiscale language representations
Reference 19
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Reference 21
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A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
Reference 22
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A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Proba- bilistic predictions of people perusing: Evaluating metrics of language model performance for psycholinguistic modeling
Reference 23
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A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Lectures on the Combinatorics of Free Probability
Reference 24
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Reference 25
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A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Unresolved cited work
Reference 26
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Observation ac4c621e-b3f9-4a43-a85d-22b2c6e10316 · outbound
A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Free probability and non-crossing partitions
Reference 27
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A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Convergence rate of expected spectral distributions of large random matrices
Reference 28
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Observation 5de471d7-c271-429f-8eee-974e23a5bb58 · outbound
A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Methodologies in spectral estimation and convergence rates of spectral distribu- tions of large-dimensional random matrices—a review
Reference 29
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Observation 4a6ca5dc-8601-4ce5-929a-a02f1f39227e · inbound
Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift A Free Probabilistic Framework for Analyzing the Transformer-based Language Models
Reference 20
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