Paper Citation Record · LEDGER

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization

As of 12 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2502.09503.

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

pith.paper-citation-record.v1
2502.09503 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:16:23.996106Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

verified exact2
verified fuzzy10
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a7c903d0-88b4-49ab-bb9b-71c93de71f13 · outbound

This paper cites Attention Is All You Need.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Attention Is All You Need

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.841412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be2c4fc7-d896-4238-94be-86553b5877ae · outbound

This paper cites Exploring ChatGPT and its impact on society,.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Exploring ChatGPT and its impact on society,

Reference 2

Resolution: verified exact; doi, observed 2026-08-07T21:16:24.248893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1477fe55-62db-40d3-b771-26d7aa9e2253 · outbound

This paper cites Long Short-Term Memory,.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Long Short-Term Memory,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.850026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48e2639d-b16b-43eb-acf8-a6839ea65116 · outbound

This paper cites Transformers in the Real World: A Survey on NLP Applications,.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Transformers in the Real World: A Survey on NLP Applications,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.854008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1040475-88c4-42d2-b88c-532ed7d5800e · outbound

This paper cites A Review of Transformer-Based Models for Computer Vision Tasks: Capturing Global Context and Spatial Relationships.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization A Review of Transformer-Based Models for Computer Vision Tasks: Capturing Global Context and Spatial Relationships

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.858245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5d2b36f-b503-4804-a3f6-00fc2d1d7433 · outbound

This paper cites Transformers in Healthcare: A Survey,.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Transformers in Healthcare: A Survey,

Reference 6

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T21:16:24.664387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 56f322a3-8e11-44b4-bb50-12c7900b0228 · outbound

This paper cites Transformer technology in molecular science,.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Transformer technology in molecular science,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.868559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a13bb1ab-cfa3-4754-8123-6d3f278017ed · outbound

This paper cites Transformer Architecture and Attention Mechanisms in Genome Data Analysis: A Comprehensive Review,.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Transformer Architecture and Attention Mechanisms in Genome Data Analysis: A Comprehensive Review,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.873199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f06bcc8-4d3a-4688-9a06-bdb63175cfc6 · outbound

This paper cites What Do Position Embeddings Learn? An Empirical Study of Pre-Trained Language Model Positional Encoding.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization What Do Position Embeddings Learn? An Empirical Study of Pre-Trained Language Model Positional Encoding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.878829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec86cbc9-646a-456f-a50c-1da7fdb0e33c · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.884912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bd981ac-a718-4cbe-b92d-2f59c0d99f00 · outbound

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

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.890216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 170585b3-b345-4701-97d4-48ef25201b80 · outbound

This paper cites Neural Architecture Search for Transformers: A Survey,.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Neural Architecture Search for Transformers: A Survey,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.895155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 107cda2f-aa03-4e18-8842-43c65e39329a · outbound

This paper cites Neural Architecture Search on Efficient Transformers and Beyond.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Neural Architecture Search on Efficient Transformers and Beyond

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-07T21:16:24.144286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a5d7cc69-6324-4ccf-ba85-57e2ae95a064 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.904751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c70131f-c03b-46f9-a8fd-068c9f19667f · outbound

This paper cites PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation,.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.910279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baee90fe-fb98-41fb-9cc3-d855b892c0db · outbound

This paper cites Transformer — PyTorch 2.6 documentation.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Transformer — PyTorch 2.6 documentation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:16:24.823779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2f3e7d39-534d-40c2-a965-c2db54ed4916 · outbound

This paper cites TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:16:24.810082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 604ae2bb-25d1-4f78-87ef-4d8aad830bc2 · outbound

This paper cites models/official/nlp/modeling at master · tensorflow/models,.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization models/official/nlp/modeling at master · tensorflow/models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:16:24.795337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0b16a03c-1384-4f7b-8168-646c12729cd4 · outbound

This paper cites Customizing a Transformer Encoder | Text,.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Customizing a Transformer Encoder | Text,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:16:24.767234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 03121d5e-0919-4fff-b09d-60b2844a24ce · outbound

This paper cites Ousterhout, A Philosophy of Software Design, 1st ed.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Ousterhout, A Philosophy of Software Design, 1st ed

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:16:24.753797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 92c51d2c-ae24-48fd-92c2-32dbaafa9a1d · outbound

This paper cites Vogel, I.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Vogel, I

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:16:24.740843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8d5f6a7a-3418-44ea-b022-a600062ad15a · outbound

This paper cites Gamma, R.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Gamma, R

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:16:24.726535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ef530dd1-be08-4945-8da0-e38e9d66a056 · outbound

This paper cites Transformer models: an introduction and catalog.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Transformer models: an introduction and catalog

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.945094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0d55313-bcf2-4da0-a770-796c0e8d1bfc · outbound

This paper cites Longformer: The Long-Document Transformer.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Longformer: The Long-Document Transformer

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.948909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b397da3b-45e4-45d1-9190-91316e544687 · outbound

This paper cites Big Bird: Transformers for Longer Sequences.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Big Bird: Transformers for Longer Sequences

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.953420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d691a8a2-e03f-46c8-a0d2-8e7ccd23dd1b · outbound

This paper cites Multi-Objective NAS with Ax — PyTorch Tutorials 2.3.0+cu121 documentation.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Multi-Objective NAS with Ax — PyTorch Tutorials 2.3.0+cu121 documentation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:16:24.711717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3135ca8d-93ea-4186-9873-44aa9246d986 · outbound

This paper cites an unresolved cited work.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T21:16:24.694949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1bf265f4-29f5-4bfe-8504-040fdbfcd4b3 · outbound

This paper cites Bleu: a Method for Automatic Evaluation of Machine Translation,.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Bleu: a Method for Automatic Evaluation of Machine Translation,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.966460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baeb10ee-aefd-4eb5-96d0-41a7f2904a95 · outbound

This paper cites Findings of the 2014 Workshop on Statistical Machine Translation,.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Findings of the 2014 Workshop on Statistical Machine Translation,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.970525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1871e75-2ded-4e99-a8a9-3aed688dfa7c · outbound

This paper cites Transfer learning enables predictions in network biology,.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Transfer learning enables predictions in network biology,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.974616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f036fde-c48d-44e0-ae7e-4c8ff50ee1fb · outbound

This paper cites The Annotated Transformer.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization The Annotated Transformer

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:16:24.680458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d86ed43f-8388-47f0-a250-b83367a1d105 · outbound

This paper cites Falcon and The PyTorch Lightning team, PyTorch Lightning.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Falcon and The PyTorch Lightning team, PyTorch Lightning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.982912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab1a82ba-219a-44da-b27b-9e7bb57b7cfa · outbound

This paper cites Self-Supervised Speech Representation Learning: A Review,.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Self-Supervised Speech Representation Learning: A Review,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.986855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d05b35df-7c56-4102-98a8-c2fdf7cef293 · outbound

This paper cites Self-Attention with Relative Position Representations.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Self-Attention with Relative Position Representations

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.991407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fedc2b9e-5ccf-436a-a4c1-f125cf785349 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T21:16:23.996106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20423c3b-536c-45a6-88b0-3659935f46d5 · outbound

This paper cites Available: https://github.com/tensorflow/models/tree/master/official/nlp/modeling.

AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization Available: https://github.com/tensorflow/models/tree/master/official/nlp/modeling

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:16:24.780824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.