Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:57:43.734511Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 4 inbound Pith citation observations for arXiv:2506.11135.
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 2026-08-07T04:57:43.734511Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z
77 of 77 outbound references displayed
External citation measurements
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Observation 22ee85b6-3fcd-47ec-a8fd-e76a8c40f5ec · outbound
Large Language Models and Emergence: A Complex Systems Perspective Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus
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Large Language Models and Emergence: A Complex Systems Perspective Numeracy from Literacy: Data Science as an Emergent Skill from Large Language Models
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Large Language Models and Emergence: A Complex Systems Perspective Bedau and Paul Humphreys.Emergence: Contemporary Readings in Philosophy and Science
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Large Language Models and Emergence: A Complex Systems Perspective Coarse-graining of cellular automata, emergence, and the predictability of complex systems.Physical Review E—Statistical, Nonlinear, and Soft Matter Physics, 73(2):026203, 2006
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Large Language Models and Emergence: A Complex Systems Perspective Salmon.Statistical Explanation and Statistical Relevance, vol- ume 69
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Large Language Models and Emergence: A Complex Systems Perspective Stigmergy as a universal coordination mechanism I: Definition and components.Cognitive Systems Research, 38:4–13, 2016
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Large Language Models and Emergence: A Complex Systems Perspective A u-turn on double descent: Rethinking parameter counting in statistical learning.Ad- vances in Neural Information Processing Systems, 36:55932–55962, 2023
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Large Language Models and Emergence: A Complex Systems Perspective Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle
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Large Language Models and Emergence: A Complex Systems Perspective Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs
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Large Language Models and Emergence: A Complex Systems Perspective Phase transition in large language models and the criticality of natural languages
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Large Language Models and Emergence: A Complex Systems Perspective Olshausen and David J
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Large Language Models and Emergence: A Complex Systems Perspective Self-organization and the selection of pinwheel density in visual cortical development.New Journal of Physics, 10(1):015009, 2008
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Large Language Models and Emergence: A Complex Systems Perspective Foundations and formalizations of self-organization.Ad- vances in Applied Self-Organizing Systems, pages 19–37, 2008
Reference 49
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Large Language Models and Emergence: A Complex Systems Perspective Learning nonlinear principal manifolds by self-organising maps
Reference 50
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Large Language Models and Emergence: A Complex Systems Perspective Crutchfield
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Large Language Models and Emergence: A Complex Systems Perspective Emergence and Function of Abstract Representations in Self-Supervised Transformers
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Large Language Models and Emergence: A Complex Systems Perspective A rainbow in deep network black boxes.Journal of Machine Learning Research, 25(350):1–59, 2024
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Large Language Models and Emergence: A Complex Systems Perspective Measuring the vc- dimension of a learning machine.Neural Computation, 6(5):851–876, 1994
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Large Language Models and Emergence: A Complex Systems Perspective GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
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Large Language Models and Emergence: A Complex Systems Perspective LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law
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Reference 65
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Reference 66
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Large Language Models and Emergence: A Complex Systems Perspective Abstract representations emerge in human hippocampal neurons during inference.Nature, 632(8026):841–849, 2024
Reference 67
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Large Language Models and Emergence: A Complex Systems Perspective An implicit plan overrides an explicit strategy during visuomotor adaptation.Journal of neuroscience, 26(14):3642–3645, 2006
Reference 68
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Reference 69
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Large Language Models and Emergence: A Complex Systems Perspective When money is not enough: awareness, success, and variability in motor learning.PLoS One, 9(1):e86580, 2014
Reference 70
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Reference 74
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Reference 75
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Large Language Models and Emergence: A Complex Systems Perspective Unresolved cited work
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Large Language Models and Emergence: A Complex Systems Perspective pub/2025/attribution-graphs/biology.html
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Implicature in Interaction: Understanding Implicature Improves Alignment in Human-LLM Interaction Large Language Models and Emergence: A Complex Systems Perspective
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The MMM Data Model -- A Normative Specification for Knowledge Interoperability in a Decentralisable Knowledge Commons Large Language Models and Emergence: A Complex Systems Perspective
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The MMM Data Model -- A Normative Specification for Knowledge Interoperability in a Decentralisable Knowledge Commons Large Language Models and Emergence: A Complex Systems Perspective
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Unsafe at any AUC: Unlearned Lessons from Sociotechnical Disasters for Responsible AI Large Language Models and Emergence: A Complex Systems Perspective
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