Paper Citation Record · LEDGER

Emergent weight morphologies in deep neural networks

As of 13 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2501.05550.

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

pith.paper-citation-record.v1
2501.05550 v2

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Pith citing papers itemized under the disclosed page cap.

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External citation measurements

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Outbound references

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Emergent weight morphologies in deep neural networks Unresolved cited work

Reference 1

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Emergent weight morphologies in deep neural networks & Protopapadakis, E

Reference 2

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This paper cites Computer vision: algorithms and applications (Springer Nature, 2022).

Emergent weight morphologies in deep neural networks Computer vision: algorithms and applications (Springer Nature, 2022)

Reference 3

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This paper cites A primer on neural network models for natural language processing.

Emergent weight morphologies in deep neural networks A primer on neural network models for natural language processing

Reference 4

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Emergent weight morphologies in deep neural networks Attention is all you need

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Emergent weight morphologies in deep neural networks Unresolved cited work

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Emergent weight morphologies in deep neural networks Unresolved cited work

Reference 7

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Emergent weight morphologies in deep neural networks I., Keasar, C., Ben-Sasson, A

Reference 8

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Emergent weight morphologies in deep neural networks & Vinyals, O

Reference 9

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This paper cites Opening the Black Box of Deep Neural Networks via Information.

Emergent weight morphologies in deep neural networks Opening the Black Box of Deep Neural Networks via Information

Reference 10

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Emergent weight morphologies in deep neural networks & Zaslavsky, N

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Emergent weight morphologies in deep neural networks Unresolved cited work

Reference 12

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Emergent weight morphologies in deep neural networks Unresolved cited work

Reference 13

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Emergent weight morphologies in deep neural networks & Mezard, M

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Emergent weight morphologies in deep neural networks & Wyart, M

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Emergent weight morphologies in deep neural networks & Mora, T

Reference 17

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Emergent weight morphologies in deep neural networks Unresolved cited work

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Emergent weight morphologies in deep neural networks & Zdeborov´ a, L

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Emergent weight morphologies in deep neural networks & Krzakala, F

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This paper cites An exact mapping between the Variational Renormalization Group and Deep Learning.

Emergent weight morphologies in deep neural networks An exact mapping between the Variational Renormalization Group and Deep Learning

Reference 21

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Emergent weight morphologies in deep neural networks M., Gebru, T., McMillan-Major, A

Reference 23

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Emergent weight morphologies in deep neural networks J., Brundage, M., H¨ aggstr¨ om, O

Reference 24

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Emergent weight morphologies in deep neural networks On the Opportunities and Risks of Foundation Models

Reference 25

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Emergent weight morphologies in deep neural networks & Ulbricht, H

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Emergent weight morphologies in deep neural networks Emergent Abilities of Large Language Models

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Emergent weight morphologies in deep neural networks Unresolved cited work

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Emergent weight morphologies in deep neural networks Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

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Emergent weight morphologies in deep neural networks Sparks of Artificial General Intelligence: Early experiments with GPT-4

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Emergent weight morphologies in deep neural networks Unresolved cited work

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Emergent weight morphologies in deep neural networks Unresolved cited work

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Emergent weight morphologies in deep neural networks & Stoner, K

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Emergent weight morphologies in deep neural networks Toy Models of Superposition

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Emergent weight morphologies in deep neural networks Broken Neural Scaling Laws

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Emergent weight morphologies in deep neural networks & Tegmark, M

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Emergent weight morphologies in deep neural networks & Soatto, S

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Emergent weight morphologies in deep neural networks & Koyejo, S

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Emergent weight morphologies in deep neural networks Are Emergent Abilities in Large Language Models just In-Context Learning?

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Emergent weight morphologies in deep neural networks Unresolved cited work

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Emergent weight morphologies in deep neural networks The MNIST database of handwritten digits

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Emergent weight morphologies in deep neural networks & Reis, J

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Emergent weight morphologies in deep neural networks Unresolved cited work

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Emergent weight morphologies in deep neural networks S., Li, Y

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Emergent weight morphologies in deep neural networks & Bousquet, O

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Emergent weight morphologies in deep neural networks & Smola, A

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Emergent weight morphologies in deep neural networks Auto-Encoding Variational Bayes

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Emergent weight morphologies in deep neural networks The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

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Emergent weight morphologies in deep neural networks keras https://github.com/fchollet/keras

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Emergent weight morphologies in deep neural networks Adam: A Method for Stochastic Optimization

Reference 54

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Pith citing papers

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