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Paper Citation Record · LEDGER

Investigating the Limitations of Transformers with Simple Arithmetic Tasks

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2102.13019.

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

pith.paper-citation-record.v1
2102.13019 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:53:51.243936Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:28:58.031749Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 06f6e2d3-9e57-4c11-aede-d180ddc16cde · inbound

Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation cites this paper.

Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 26

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arxiv_id, observed 2026-05-13T01:01:23.334749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e6a5448f-639c-442f-b41b-8eb67a48ee5f · inbound

PAL: Program-aided Language Models cites this paper.

PAL: Program-aided Language Models Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 28

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arxiv_id, observed 2026-05-15T05:02:50.324082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-15T05:02:50.117120Z digest=sha256:78b9e14cf20cba2223ae8417f2bab478800e6a9a565238c7e447e7b2ad39ecfc

Observation efcc52a1-63a1-4fb6-8cf7-19a34046c046 · inbound

Massive Activations in Large Language Models cites this paper.

Massive Activations in Large Language Models Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 66

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arxiv_id, observed 2026-05-16T07:02:53.903787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-16T07:02:53.740597Z digest=sha256:3e9f56868a5f0cd31322a3b08e6232e8b562796526fb92a472bf902881b95b87

Observation d753182a-b4ac-4f04-b5f4-d34d7daa84ac · inbound

Tokenisation is NP-Complete cites this paper.

Tokenisation is NP-Complete Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 2021

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no resolver link, observed 2026-08-11T11:45:54.457024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:45:54.457024Z digest=sha256:f09d4f7b8b74117fffa1921e5d1b7ed0907bf95841e9dfc64953293e8d00ce1f

Observation 077de084-1619-4ae7-8452-503e6f96fe03 · inbound

Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models cites this paper.

Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 43

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no resolver link, observed 2026-08-10T15:25:07.277129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:07.277129Z digest=sha256:3598d7724cdcd5a6b8fe50dcc2e26ca06b2b2c5bb182fa77b9bd01d34d008ab6

Observation d2ea38c5-57e7-4f4e-92c5-b74c5eee311f · inbound

Decoding-based Regression cites this paper.

Decoding-based Regression Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 35

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no resolver link, observed 2026-08-09T20:34:01.586400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:34:01.586400Z digest=sha256:f62e870b9e4a40132c4acf36991b3aa76301718fdeb095f1463a3d9b5a0730eb

Observation a45d7ff6-db78-4594-9319-49b2084fb564 · inbound

Learning Model Successors cites this paper.

Learning Model Successors Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 119

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no resolver link, observed 2026-08-09T19:58:58.934021Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:58:58.934021Z digest=sha256:1051d6707226ff8be5b5b910c429e108c298a75c8e7d3aac5ff834aea98cd80e

Observation 6a6dfbe8-7179-461e-8070-840d5ff2936a · inbound

FoNE: Precise Single-Token Number Embeddings via Fourier Features cites this paper.

FoNE: Precise Single-Token Number Embeddings via Fourier Features Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 30

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arxiv_id, observed 2026-05-23T03:12:28.762815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-23T03:07:37.363965Z digest=sha256:1e38414564bc05093467463c243b3ea35dbd146e72af278a14619b306bd1ec10

Observation 2ee572b6-2ca8-4352-a0da-68330e161b5f · inbound

Learning the symmetric group: large from small cites this paper.

Learning the symmetric group: large from small Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 14

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arxiv_id, observed 2026-05-23T02:52:26.946627Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-23T02:48:03.020220Z digest=sha256:ddab54bfb4a44c92742742443c8bc67fdc38689bd7a43c09247620487fccfecc

Observation 86ef0425-3bea-4f50-9b50-b2492147bd11 · inbound

Recursive Decomposition with Dependencies for Generic Divide-and-Conquer Reasoning cites this paper.

Recursive Decomposition with Dependencies for Generic Divide-and-Conquer Reasoning Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 16

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source=arxiv_source observed=2026-08-16T00:53:51.243936Z digest=sha256:d75ea7ed8438bb4c4e113eb67ee0d766d8eea0ce6562f4ba1c25bf1f12676b55

Observation dbacfc98-69da-4b05-ac89-594e5b700859 · inbound

Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer cites this paper.

Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 39

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no resolver link, observed 2026-08-07T11:57:22.784025Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:22.784025Z digest=sha256:c1a89e323d69a67d8284ea07284cda50d261bc903b9e42e08cf79b011ed71873

Observation 65efd611-76cd-4376-9fbd-0125e9f514c9 · inbound

Non-Asymptotic Length Generalization cites this paper.

Non-Asymptotic Length Generalization Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 2021

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no resolver link, observed 2026-08-07T11:16:49.682246Z

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source=pdf_text observed=2026-08-07T11:16:49.682246Z digest=sha256:9787bc928ed1265af53509dda6b04b3063796d79fdec4254e240fa205bb41c81

Observation e184c060-fab9-4353-b0bb-4d832a715958 · inbound

Long-Short Alignment for Effective Long-Context Modeling in LLMs cites this paper.

Long-Short Alignment for Effective Long-Context Modeling in LLMs Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:20.273388Z digest=sha256:63680b94857ecbd3b24355b38b417044e8fa123ccebf0c1e09729ad0a7acaa36

Observation d4881de8-4fb8-4475-a557-2b411070490d · inbound

A Group Theoretic Analysis of the Symmetries Underlying Base Addition and Their Learnability by Neural Networks cites this paper.

A Group Theoretic Analysis of the Symmetries Underlying Base Addition and Their Learnability by Neural Networks Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 18

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no resolver link, observed 2026-08-06T17:39:29.985556Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:39:29.985556Z digest=sha256:2a8dd1681073c3e8add6c17754e852d57ad5069a46de8462185f8018bae3106a

Observation 414eea87-ec99-42cd-9efc-ef0ec1564d80 · inbound

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors cites this paper.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 62

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no resolver link, observed 2026-08-05T23:01:47.429327Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:47.429327Z digest=sha256:a162a01d63d96b7895915ea32449a3e971d9afaf4408ef30e0ae9591458757a9

Observation 305636a6-342d-4b3f-a5fa-b8d7909f11a3 · inbound

Efficient numeracy in language models through single-token number embeddings cites this paper.

Efficient numeracy in language models through single-token number embeddings Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 15

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arxiv_id, observed 2026-05-21T21:10:38.580437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 01861496-5766-42c5-92f7-e11143d9c358 · inbound

Contrastive Decoding Mitigates Score Range Bias in LLM-as-a-Judge cites this paper.

Contrastive Decoding Mitigates Score Range Bias in LLM-as-a-Judge Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 1

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arxiv_id, observed 2026-05-18T05:40:55.907792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-18T05:38:31.226594Z digest=sha256:38dd4de08188a0ec6b742fc951ed5cad39a99a75b573b94e5bf72eef4645e35f

Observation 510f681f-18de-436c-8104-e6d1c3a838af · inbound

The Effect of Scripts and Formats on LLM Numeracy cites this paper.

The Effect of Scripts and Formats on LLM Numeracy Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 10

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no resolver link, observed 2026-08-03T08:58:50.555374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:58:50.555374Z digest=sha256:32c0337e4be61c5e0302d949077d8ac7f74ec0e5966128812a8e95c1b20d3d14

Observation 16baa333-0fb4-49a6-a005-7ddadc7370bf · inbound

Learning to Execute Graph Algorithms Exactly with Graph Neural Networks cites this paper.

Learning to Execute Graph Algorithms Exactly with Graph Neural Networks Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 39

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no resolver link, observed 2026-08-03T06:26:57.317388Z

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source=arxiv_source observed=2026-08-03T06:26:57.317388Z digest=sha256:4907bdc6382e08c6dd3a87de03fdf6c4481bb71c81242e6ab39481b4afcd6507

Observation 453ff8be-7ff0-48aa-927e-d6db72d3096a · inbound

Length Generalization Bounds for Transformers cites this paper.

Length Generalization Bounds for Transformers Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 7

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no resolver link, observed 2026-08-02T23:51:27.559070Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:51:27.559070Z digest=sha256:c64e82dc17847063a3b919f68e2e281bc3272ff839773fbb40fb97a9e689b1a1

Observation 450cacae-757e-4d95-8a5b-10196d676113 · inbound

Generating Hadamard matrices with transformers cites this paper.

Generating Hadamard matrices with transformers Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 2

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arxiv_id, observed 2026-05-11T10:31:03.720058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fcd116ab-76ab-49c8-aa71-31febe0dae4f · inbound

Generating Hadamard matrices with transformers cites this paper.

Generating Hadamard matrices with transformers Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 2

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arxiv_id, observed 2026-05-12T06:21:24.721151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-12T04:23:35.347930Z digest=sha256:a3309201ca5b3630c7cd1f3d05af9062f864f709c65d53b9a1c0ea8cd6515372

Observation 7347aea6-78de-43ad-9850-8d72ce919313 · inbound

The Long Delay to Arithmetic Generalization: When Learned Representations Outrun Behavior cites this paper.

The Long Delay to Arithmetic Generalization: When Learned Representations Outrun Behavior Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 20

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arxiv_id, observed 2026-05-14T21:17:58.826798Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-14T21:16:40.430384Z digest=sha256:d1071ceb0040c491a0d7e1663c4ac84b98efe35659d108458195d88a95a3becc

Observation a0268ea3-3c42-4d19-80df-90115d22e4e3 · inbound

On the Creativity of AI Agents cites this paper.

On the Creativity of AI Agents Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 72

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arxiv_id, observed 2026-05-10T13:40:26.404699Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T13:40:21.509278Z digest=sha256:8c089bef40611a807e1eb1339365e3a74d8670da9c333a0709082cd7a55d18d7

Observation b3ee2466-1e04-4f64-9593-62267f290722 · inbound

LinAlg-Bench: A Forensic Benchmark Revealing Structural Failure Modes in LLM Mathematical Reasoning cites this paper.

LinAlg-Bench: A Forensic Benchmark Revealing Structural Failure Modes in LLM Mathematical Reasoning Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 22

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arxiv_id, observed 2026-05-20T17:48:48.799126Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-20T17:45:55.121362Z digest=sha256:2fd8baa698f61b1ad6c1a41bb68c02651789fce54269db7b57170b8200f57a5f

Observation d81f9e67-65a2-4be9-92f9-955bbf34b8a9 · inbound

Artificial Effort cites this paper.

Artificial Effort Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 26

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no resolver link, observed 2026-07-12T19:34:03.845958Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T19:34:03.845958Z digest=sha256:ac98b10deb82539cc8b2c2e7a467583a87bb80051ea23ace787a963f9ddf8411

Observation b4ce9ecc-92ae-4d25-9942-2a614677658c · inbound

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks cites this paper.

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 71

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arxiv_id, observed 2026-07-01T22:06:16.813182Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T15:43:46.621365Z digest=sha256:23bf69159ef30e3e0dc3c3c860e2d19df5be9d7914f0bb181705edd0b0031004

Observation 4d1ee39b-4ad8-45da-af49-5ad3773e2f0a · inbound

How Should Transformers Encode Numeric Values in Electronic Health Records? cites this paper.

How Should Transformers Encode Numeric Values in Electronic Health Records? Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 30

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arxiv_id, observed 2026-07-03T21:28:58.033798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-07-03T21:26:26.763158Z digest=sha256:9d1b3a46212caa7b1e2daca019cace98dd87cd09feda605e22691e5f51b0b7fa

Observation 42e7eeb6-4f5c-4896-bd6e-c67c530b70b1 · inbound

Variable-length Gray codes for the Natural Numbers cites this paper.

Variable-length Gray codes for the Natural Numbers Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 6

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no resolver link, observed 2026-08-01T21:26:21.803491Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:26:21.803491Z digest=sha256:f10eaefa3b21d859f30e45321d4f96e6c235ee32e6cd89f64392580e185f7b24

Observation c2972dbe-339a-4972-b7a5-f4677ee152aa · inbound

Numeracy in Large Language Models: Fundamental Limitations and Paths to Improvement cites this paper.

Numeracy in Large Language Models: Fundamental Limitations and Paths to Improvement Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 15

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no resolver link, observed 2026-08-15T16:17:47.732766Z

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source=pdf_text observed=2026-08-15T16:17:47.732766Z digest=sha256:408890a65b8de6df2cadd1099129bf84b88fd416155b8873559ab0dc0ce1d3ba