Paper Citation Record · LEDGER

Modes of Sequence Models and Learning Coefficients

As of 18 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 1 inbound Pith citation observation for arXiv:2504.18048.

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

pith.paper-citation-record.v1
2504.18048 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

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One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

72 of 72 outbound references displayed

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External citation measurements

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Outbound references

Observation d92e35cd-fb06-434a-8273-68cf4f8cccd7 · outbound

This paper cites write newline.

Modes of Sequence Models and Learning Coefficients write newline

Reference 1

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Modes of Sequence Models and Learning Coefficients @esa (Ref

Reference 2

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Modes of Sequence Models and Learning Coefficients Unresolved cited work

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Reference 4

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This paper cites Information Geometry and Its Applications: Convex Function and Dually Flat Manifold, pp.\ 75--102.

Modes of Sequence Models and Learning Coefficients Information Geometry and Its Applications: Convex Function and Dually Flat Manifold, pp.\ 75--102

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Modes of Sequence Models and Learning Coefficients Information Geometry and its Applications

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Modes of Sequence Models and Learning Coefficients M., and Telgarsky, M

Reference 7

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Modes of Sequence Models and Learning Coefficients J., Kakade, S

Reference 8

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Modes of Sequence Models and Learning Coefficients Consideration on the learning efficiency of multiple-layered neural networks with linear units

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Modes of Sequence Models and Learning Coefficients Studying S mall L anguage M odels with S usceptibilities, 2025

Reference 10

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This paper cites S., Lepage, G., Svetitsky, B., and Wilson, K.

Modes of Sequence Models and Learning Coefficients S., Lepage, G., Svetitsky, B., and Wilson, K

Reference 11

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This paper cites A neural probabilistic language model.

Modes of Sequence Models and Learning Coefficients A neural probabilistic language model

Reference 12

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Modes of Sequence Models and Learning Coefficients G., Bradley, H., O’Brien, K., Hallahan, E., Khan, M

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Modes of Sequence Models and Learning Coefficients GPT-NeoX-20B: An Open-Source Autoregressive Language Model

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Modes of Sequence Models and Learning Coefficients E ckart- Y oung

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This paper cites Dynamics of Transient Structure in In-Context Linear Regression Transformers.

Modes of Sequence Models and Learning Coefficients Dynamics of Transient Structure in In-Context Linear Regression Transformers

Reference 16

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This paper cites Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition.

Modes of Sequence Models and Learning Coefficients Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

Reference 17

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Modes of Sequence Models and Learning Coefficients and Weber, M

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This paper cites Identification of almost invariant aggregates in reversible nearly uncoupled M arkov chains.

Modes of Sequence Models and Learning Coefficients Identification of almost invariant aggregates in reversible nearly uncoupled M arkov chains

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Modes of Sequence Models and Learning Coefficients Monology/pile-uncopyrighted

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Modes of Sequence Models and Learning Coefficients HLAT : H igh-quality large language model pre-trained on AWS T rainium

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Modes of Sequence Models and Learning Coefficients An SVD approach to identifying meta-stable states of M arkov chains

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Modes of Sequence Models and Learning Coefficients The Pile: An 800GB Dataset of Diverse Text for Language Modeling

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Modes of Sequence Models and Learning Coefficients C., Petrov, T., Kubin, G., and Koeppl, H

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Modes of Sequence Models and Learning Coefficients explanatory

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Modes of Sequence Models and Learning Coefficients Loss Landscape Degeneracy and Stagewise Development in Transformers

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Modes of Sequence Models and Learning Coefficients Universal artificial intelligence: Sequential decisions based on algorithmic probability

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Modes of Sequence Models and Learning Coefficients SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

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Modes of Sequence Models and Learning Coefficients The Local Learning Coefficient: A Singularity-Aware Complexity Measure

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Modes of Sequence Models and Learning Coefficients You Are What You Eat -- AI Alignment Requires Understanding How Data Shapes Structure and Generalisation

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Modes of Sequence Models and Learning Coefficients and Nave, C

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Modes of Sequence Models and Learning Coefficients Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP

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Modes of Sequence Models and Learning Coefficients Efficient Estimation of Word Representations in Vector Space

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Modes of Sequence Models and Learning Coefficients S., and Dean, J

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Modes of Sequence Models and Learning Coefficients Low-Rank Tensors for Multi-Dimensional Markov Models

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Modes of Sequence Models and Learning Coefficients On the realization of hidden markov models and tensor decomposition

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Modes of Sequence Models and Learning Coefficients and Faccioli, P

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Modes of Sequence Models and Learning Coefficients Future lens: Anticipating subsequent tokens from a single hidden state

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Modes of Sequence Models and Learning Coefficients Formal Algorithms for Transformers

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Modes of Sequence Models and Learning Coefficients Renormalization and effective lagrangians

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Modes of Sequence Models and Learning Coefficients and Simon, B

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Modes of Sequence Models and Learning Coefficients How good is your tokenizer? on the monolingual performance of multilingual language models

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Modes of Sequence Models and Learning Coefficients Neural machine translation of rare words with subword units

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Modes of Sequence Models and Learning Coefficients Transformers represent belief state geometry in their residual stream

Reference 57

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Modes of Sequence Models and Learning Coefficients Unresolved cited work

Reference 58

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Modes of Sequence Models and Learning Coefficients The low-rank hypothesis of complex systems

Reference 59

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Reference 60

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Modes of Sequence Models and Learning Coefficients Structure Development in List-Sorting Transformers

Reference 61

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Reference 62

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Modes of Sequence Models and Learning Coefficients The generalization phase diagram

Reference 63

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Modes of Sequence Models and Learning Coefficients N., Kaiser, ., and Polosukhin, I

Reference 64

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Modes of Sequence Models and Learning Coefficients Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient

Reference 65

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Modes of Sequence Models and Learning Coefficients Algebraic Geometry and Statistical Learning Theory

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:12.533832Z

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Modes of Sequence Models and Learning Coefficients A Widely Applicable Bayesian Information Criterion

Reference 67

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Modes of Sequence Models and Learning Coefficients Mathematical Theory of Bayesian Statistics

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:12.499330Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 169650a8-4a89-4ca7-a1b2-e144b3375990 · outbound

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Modes of Sequence Models and Learning Coefficients and Teh, Y

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:12.484405Z

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Modes of Sequence Models and Learning Coefficients X., and Levine, L

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:12.470767Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6553af99-6a6b-483d-9428-f29cb7b7f38b · outbound

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Modes of Sequence Models and Learning Coefficients PyHessian: Neural Networks Through the Lens of the Hessian

Reference 71

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Modes of Sequence Models and Learning Coefficients and Wang, M

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:12.457639Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation f6d89fe1-a61e-4a24-a6e0-5246df231ae0 · inbound

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Dead Directions: Geometric Singular Learning Modes of Sequence Models and Learning Coefficients

Reference 9

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