Paper Citation Record · LEDGER

Transformers Learn Shortcuts to Automata

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 48 inbound Pith citation observations for arXiv:2210.10749.

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

pith.paper-citation-record.v1
2210.10749 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 48 of 48 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:38:27.403974Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
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External citation measurements

11
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e5b27847-6b6e-4326-974b-e19842184d96 · inbound

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity cites this paper.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Transformers Learn Shortcuts to Automata

Reference 62

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Source-reported events for the cited work

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Observation 60fa9eec-f448-4988-9be7-5d3a5ca47b61 · inbound

Neural Scaling Laws Rooted in the Data Distribution cites this paper.

Neural Scaling Laws Rooted in the Data Distribution Transformers Learn Shortcuts to Automata

Reference 39

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Observation 6d58a7dd-489c-4d65-9e50-19c8cf1607bf · inbound

ICLR: In-Context Learning of Representations cites this paper.

ICLR: In-Context Learning of Representations Transformers Learn Shortcuts to Automata

Reference 40

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Observation 823d6ef6-561a-42a9-9334-0ecadd2d20aa · inbound

Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding cites this paper.

Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding Transformers Learn Shortcuts to Automata

Reference 65

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Observation f4c809e4-c01c-4e6a-b896-a020c5cd77aa · inbound

Learning Spectral Methods by Transformers cites this paper.

Learning Spectral Methods by Transformers Transformers Learn Shortcuts to Automata

Reference 21

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Observation ca9ab04d-7cf6-481f-9477-c0ffab8f5b9b · inbound

Circuit Complexity Bounds for Visual Autoregressive Model cites this paper.

Circuit Complexity Bounds for Visual Autoregressive Model Transformers Learn Shortcuts to Automata

Reference 9

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Source-reported events for the cited work

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Observation 276bfca0-e664-4254-95a6-d80ad59018ca · inbound

An Analysis for Reasoning Bias of Language Models with Small Initialization cites this paper.

An Analysis for Reasoning Bias of Language Models with Small Initialization Transformers Learn Shortcuts to Automata

Reference 24

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Observation 700c731c-2051-4cff-83c0-ff51694388c2 · inbound

Transformers versus the EM Algorithm in Multi-class Clustering cites this paper.

Transformers versus the EM Algorithm in Multi-class Clustering Transformers Learn Shortcuts to Automata

Reference 23

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Observation e5ba0a7c-78ce-45a7-9480-151d78a5ac5a · inbound

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels cites this paper.

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels Transformers Learn Shortcuts to Automata

Reference 2023

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Observation 5bae81ac-d125-41e9-bf4f-39ce966d6004 · inbound

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models cites this paper.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Transformers Learn Shortcuts to Automata

Reference 24

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Observation 48788e9f-4700-4a99-b50f-d5541c2ea74e · inbound

Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning cites this paper.

Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning Transformers Learn Shortcuts to Automata

Reference 53

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Source-reported events for the cited work

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Observation 5dcb5bf9-8a9d-41b7-b476-5a3842da069c · inbound

Transformers Meet In-Context Learning: A Universal Approximation Theory cites this paper.

Transformers Meet In-Context Learning: A Universal Approximation Theory Transformers Learn Shortcuts to Automata

Reference 48

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Observation 57831585-3380-467f-adc1-c3cd17489a82 · inbound

Sample Complexity and Representation Ability of Test-time Scaling Paradigms cites this paper.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Transformers Learn Shortcuts to Automata

Reference 57

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Observation 4de1ab7e-9de2-452b-9150-05f154133b75 · inbound

A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization cites this paper.

A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization Transformers Learn Shortcuts to Automata

Reference 35

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Observation 80a6d2b0-0f4a-4d6e-b489-8efa7985ff1a · inbound

Intrinsic and Extrinsic Organized Attention: Softmax Invariance and Network Sparsity cites this paper.

Intrinsic and Extrinsic Organized Attention: Softmax Invariance and Network Sparsity Transformers Learn Shortcuts to Automata

Reference 13

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Observation 9a3b1e9c-f6fe-44f1-9d6b-2972aaa0ce8d · inbound

Position: A Theory of Deep Learning Must Include Compositional Sparsity cites this paper.

Position: A Theory of Deep Learning Must Include Compositional Sparsity Transformers Learn Shortcuts to Automata

Reference 42

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Source-reported events for the cited work

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Observation 442c24ac-807f-4b9b-ad3c-065a2c9fe61d · inbound

The Serial Scaling Hypothesis cites this paper.

The Serial Scaling Hypothesis Transformers Learn Shortcuts to Automata

Reference 63

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Source-reported events for the cited work

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Observation 3f495db6-6e73-4c31-8b3b-5c85d0f97a6c · inbound

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

Rethinking Memorization Measures and their Implications in Large Language Models Transformers Learn Shortcuts to Automata

Reference 28

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Source-reported events for the cited work

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Observation 2443778e-50d7-470b-9bbb-4def4426cd67 · inbound

What do language models model? Transformers, automata, and the format of thought cites this paper.

What do language models model? Transformers, automata, and the format of thought Transformers Learn Shortcuts to Automata

Reference 3

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Source-reported events for the cited work

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Observation 7fe3a340-0f92-4b32-8efc-207640ecebe6 · inbound

Scaling Latent Reasoning via Looped Language Models cites this paper.

Scaling Latent Reasoning via Looped Language Models Transformers Learn Shortcuts to Automata

Reference 80

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Source-reported events for the cited work

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Observation 6f347182-a335-4f9b-b658-b4214a5eb266 · inbound

Scaling Latent Reasoning via Looped Language Models cites this paper.

Scaling Latent Reasoning via Looped Language Models Transformers Learn Shortcuts to Automata

Reference 80

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Observation 4f7ecfea-a4f9-41e1-a60d-c1d7d35c80a7 · inbound

Context-Free Recognition with Transformers cites this paper.

Context-Free Recognition with Transformers Transformers Learn Shortcuts to Automata

Reference 1

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Observation 9099aeb3-cb78-488f-8bc0-4eb1cb01e8bb · inbound

Learning State-Tracking from Code Using Linear RNNs cites this paper.

Learning State-Tracking from Code Using Linear RNNs Transformers Learn Shortcuts to Automata

Reference 7

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Source-reported events for the cited work

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Observation 58a2416f-22c8-488e-a97f-6b0a15e7ff13 · inbound

Learning State-Tracking from Code Using Linear RNNs cites this paper.

Learning State-Tracking from Code Using Linear RNNs Transformers Learn Shortcuts to Automata

Reference 7

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Observation e1d9394b-eafa-4d0e-98f4-fd890b5ea548 · inbound

On the Emergence of Implicit Curriculum in RLVR Learning Dynamics cites this paper.

On the Emergence of Implicit Curriculum in RLVR Learning Dynamics Transformers Learn Shortcuts to Automata

Reference 25

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Observation 3e08dc52-cc42-4d32-85cb-c2d2bb4baaef · inbound

The Recurrent Transformer: Greater Effective Depth and Efficient Decoding cites this paper.

The Recurrent Transformer: Greater Effective Depth and Efficient Decoding Transformers Learn Shortcuts to Automata

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:21:04.612914Z

Source-reported events for the cited work

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Observation e081b988-246e-432b-95e6-ca9090bba7eb · inbound

There Will Be a Scientific Theory of Deep Learning cites this paper.

There Will Be a Scientific Theory of Deep Learning Transformers Learn Shortcuts to Automata

Reference 243

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Observation 1ff35386-6736-469d-9aee-64d91b4d0c21 · inbound

Do Neural Operators Forget Geometry? The Forgetting Hypothesis in Deep Operator Learning cites this paper.

Do Neural Operators Forget Geometry? The Forgetting Hypothesis in Deep Operator Learning Transformers Learn Shortcuts to Automata

Reference 9

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Observation 81112096-4b4e-429a-8627-12c4a469f16f · inbound

The two clocks and the innovation window: When and how generative models learn rules cites this paper.

The two clocks and the innovation window: When and how generative models learn rules Transformers Learn Shortcuts to Automata

Reference 14

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2b1f22dc-b60d-4288-a0f4-7c625c13d22f · inbound

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces cites this paper.

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces Transformers Learn Shortcuts to Automata

Reference 89

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Observation a05b1fdf-2fee-4367-899a-225eb7f54f39 · inbound

A Sharper Picture of Generalization in Transformers cites this paper.

A Sharper Picture of Generalization in Transformers Transformers Learn Shortcuts to Automata

Reference 19

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Observation 9ed966bd-98b2-40e6-af23-d6c7b6e06202 · inbound

A Sharper Picture of Generalization in Transformers cites this paper.

A Sharper Picture of Generalization in Transformers Transformers Learn Shortcuts to Automata

Reference 19

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Observation 40218d6f-a608-4412-af61-ff896c6b4655 · inbound

Lost in Tokenization: Fundamental Trade-offs in Graph Tokenization for Transformers cites this paper.

Lost in Tokenization: Fundamental Trade-offs in Graph Tokenization for Transformers Transformers Learn Shortcuts to Automata

Reference 30

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Observation 12ba1f3d-d77c-4cfc-917e-08c45af40ffa · inbound

Do Language Models Need Sleep? Offline Recurrence for Improved Online Inference cites this paper.

Do Language Models Need Sleep? Offline Recurrence for Improved Online Inference Transformers Learn Shortcuts to Automata

Reference 36

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Observation fd42cb4b-53fa-46c5-b0b6-a29b9b8c7dfa · inbound

Transformers Provably Learn to Internalize Chain-of-Thought cites this paper.

Transformers Provably Learn to Internalize Chain-of-Thought Transformers Learn Shortcuts to Automata

Reference 28

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Observation 49fef9f7-1329-402c-8c38-1bb5fc5ac7c3 · inbound

Agentic Transformers Provably Learn to Search via Reinforcement Learning cites this paper.

Agentic Transformers Provably Learn to Search via Reinforcement Learning Transformers Learn Shortcuts to Automata

Reference 12

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Observation 6647f38c-8077-4a2f-b088-2ae9909aa345 · inbound

A Close Look At World Model Recovery In Supervised Fine-Tuned LLM Planners cites this paper.

A Close Look At World Model Recovery In Supervised Fine-Tuned LLM Planners Transformers Learn Shortcuts to Automata

Reference 15

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Pretraining Recurrent Networks without Recurrence cites this paper.

Pretraining Recurrent Networks without Recurrence Transformers Learn Shortcuts to Automata

Reference 77

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Observation a00123fd-aaf9-4bc1-b3c7-0d7721d119c9 · inbound

Pretraining Recurrent Networks without Recurrence cites this paper.

Pretraining Recurrent Networks without Recurrence Transformers Learn Shortcuts to Automata

Reference 76

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

A Systematic Study of Behavioral Cloning for Scientific Data Annotation Transformers Learn Shortcuts to Automata

Reference 71

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Observation 79f9775e-4088-4922-a345-9a23f911205b · 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 Transformers Learn Shortcuts to Automata

Reference 40

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 657ec5a5-be14-45a7-be74-8e2696e06f9a · inbound

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

Critical Percolation as a Synthetic Data Model for Interpretability Transformers Learn Shortcuts to Automata

Reference 32

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Observation c4cc34ed-2a9c-4f98-94d3-6f293ebb5b2b · inbound

Structure Before Collapse: Transient semantic geometry in next-token prediction cites this paper.

Structure Before Collapse: Transient semantic geometry in next-token prediction Transformers Learn Shortcuts to Automata

Reference 147

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:29:51.073513Z

Source-reported events for the cited work

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Observation fd43a091-3977-4800-8a3e-e37d8cc561dd · inbound

A First-Principles Theory of Slow Thinking and Active Perception cites this paper.

A First-Principles Theory of Slow Thinking and Active Perception Transformers Learn Shortcuts to Automata

Reference 106

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Observation c567fd28-cc10-46ca-9f8f-540a197b882b · inbound

When Does Reward Teach State? A Hidden-Automaton Instrument and a Group-Language Warning Signal cites this paper.

When Does Reward Teach State? A Hidden-Automaton Instrument and a Group-Language Warning Signal Transformers Learn Shortcuts to Automata

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Observation 6460473a-1666-4202-bf6e-93dfefaca180 · inbound

Hierarchical Domain Generalization cites this paper.

Hierarchical Domain Generalization Transformers Learn Shortcuts to Automata

Reference 172

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Observation 643edcf8-3e44-44a7-946f-a011eac12d90 · inbound

Naju: A Native Discrete State-Space Model with Independent Retention and Writing for Long-Sequence Memory cites this paper.

Naju: A Native Discrete State-Space Model with Independent Retention and Writing for Long-Sequence Memory Transformers Learn Shortcuts to Automata

Reference 12

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Observation caefcef9-4e90-4bb7-942e-547adae906e2 · inbound

Attention-based representations for multi-task computation cites this paper.

Attention-based representations for multi-task computation Transformers Learn Shortcuts to Automata

Reference 15

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