Paper Citation Record · LEDGER

Physics of Language Models: Part 1, Learning Hierarchical Language Structures

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2305.13673.

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

pith.paper-citation-record.v1
2305.13673 v4

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measured 23 of 23 standing notices

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measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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A source-named dated measurement, never combined with another source.

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Outbound references

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Pith citing papers

Observation 9737fe0c-a109-4167-afa2-75f57c1140a4 · inbound

Textbooks Are All You Need cites this paper.

Textbooks Are All You Need Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 4

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Observation 0c0f718b-a69d-49e4-98b5-eeb8c8ed6d15 · inbound

(How) Can Transformers Predict Pseudo-Random Numbers? cites this paper.

(How) Can Transformers Predict Pseudo-Random Numbers? Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 3

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A Statistical Physics of Language Model Reasoning cites this paper.

A Statistical Physics of Language Model Reasoning Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 3

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Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings cites this paper.

Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 3

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Position: We Need An Algorithmic Understanding of Generative AI cites this paper.

Position: We Need An Algorithmic Understanding of Generative AI Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 2024

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Rethinking Memorization Measures and their Implications in Large Language Models cites this paper.

Rethinking Memorization Measures and their Implications in Large Language Models Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 25

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Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement cites this paper.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 4

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Observation ddbc3c9b-4155-4f2e-ba28-49affe60181c · inbound

Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers cites this paper.

Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 6

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Unifying Learning Dynamics and Generalization in Transformers Scaling Law cites this paper.

Unifying Learning Dynamics and Generalization in Transformers Scaling Law Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 2020

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Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models cites this paper.

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 4

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Observation 1569eb33-6f0e-40e9-b350-70011fc882b0 · inbound

Diagnosing CFG Interpretation in LLMs cites this paper.

Diagnosing CFG Interpretation in LLMs Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 2

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Observation 4f988323-a7d3-4d51-97b5-0fd31f045ede · inbound

Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective cites this paper.

Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 4

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Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective cites this paper.

Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 4

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Observation b4665bcb-eff3-4473-b60b-c9e4fc7bd989 · inbound

Shortcut Solutions Learned by Transformers Impair Continual Compositional Reasoning cites this paper.

Shortcut Solutions Learned by Transformers Impair Continual Compositional Reasoning Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 1

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Observation 9dafe3f3-167a-4ec1-95e2-9c23edc5278d · inbound

Invariant Gradient Alignment for Robust Reasoning Distillation cites this paper.

Invariant Gradient Alignment for Robust Reasoning Distillation Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 1

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Observation 7a25182f-193a-4102-9b11-13fe15ee4757 · inbound

A Systematic Study of Behavioral Cloning for Scientific Data Annotation cites this paper.

A Systematic Study of Behavioral Cloning for Scientific Data Annotation Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 43

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Observation 87f5facb-c803-42bb-8a38-760a3c5b7121 · inbound

Analyzing the Correlation Between Hallucinations and Knowledge Conflicts in Large Language Models cites this paper.

Analyzing the Correlation Between Hallucinations and Knowledge Conflicts in Large Language Models Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:37:26.432659Z

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Observation bbcbc1ab-15ae-4a34-96c6-35804c439029 · inbound

Causally Evaluating the Learnability of Formal Language Tasks cites this paper.

Causally Evaluating the Learnability of Formal Language Tasks Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 44

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Observation b7b5681c-1e38-4f57-a062-fc67ff776331 · inbound

Learning Dynamics of Chain-of-Thought State Tracking in a Solvable Transformer Model cites this paper.

Learning Dynamics of Chain-of-Thought State Tracking in a Solvable Transformer Model Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:39:05.201777Z

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Observation e343feee-c5fa-42b8-8765-e93834fa3a5c · inbound

Critical Percolation as a Synthetic Data Model for Interpretability cites this paper.

Critical Percolation as a Synthetic Data Model for Interpretability Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:49:29.648278Z

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Observation fc2ab983-7cd9-47c0-bbdb-e1f11afe5c54 · inbound

Smooth Scaling Laws Hide Stepwise Token Learning cites this paper.

Smooth Scaling Laws Hide Stepwise Token Learning Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:14:26.566276Z

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Observation dc1451d3-f59b-4130-be5e-2f0dbf52c968 · inbound

Smooth Scaling Laws Hide Stepwise Token Learning cites this paper.

Smooth Scaling Laws Hide Stepwise Token Learning Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 21

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Reasoning Core: Designing Broad Procedural Data for Completion-Supervised Reasoning Training cites this paper.

Reasoning Core: Designing Broad Procedural Data for Completion-Supervised Reasoning Training Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 2023

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