Paper Citation Record · LEDGER

Transformers Can Do Arithmetic with the Right Embeddings

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2405.17399.

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

pith.paper-citation-record.v1
2405.17399 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:17:47.704904Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:12:28.791109Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6c6e2380-d796-46a9-ac5d-246a334fc6f7 · inbound

Scaling Particle Collision Data Analysis cites this paper.

Scaling Particle Collision Data Analysis Transformers Can Do Arithmetic with the Right Embeddings

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T10:34:25.008252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f5789a1-d224-40e1-a5d8-e8bc5b1e7f6f · inbound

Precise Length Control in Large Language Models cites this paper.

Precise Length Control in Large Language Models Transformers Can Do Arithmetic with the Right Embeddings

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T14:30:11.155463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d701146-9dca-4616-a30e-57c80de52513 · inbound

Self-guided Knowledgeable Network of Thoughts: Amplifying Reasoning with Large Language Models cites this paper.

Self-guided Knowledgeable Network of Thoughts: Amplifying Reasoning with Large Language Models Transformers Can Do Arithmetic with the Right Embeddings

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T10:34:24.977437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f5f56e6-19da-4e32-99fa-ceeb08d7b00b · inbound

IGC: Integrating a Gated Calculator into an LLM to Solve Arithmetic Tasks Reliably and Efficiently cites this paper.

IGC: Integrating a Gated Calculator into an LLM to Solve Arithmetic Tasks Reliably and Efficiently Transformers Can Do Arithmetic with the Right Embeddings

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T22:49:57.669100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97589b45-4bd7-4e04-96b9-04863583da65 · 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 Can Do Arithmetic with the Right Embeddings

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T22:49:44.924374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 138228d4-d650-484f-b623-a2209c64fd55 · inbound

The role of positional encodings in the ARC benchmark cites this paper.

The role of positional encodings in the ARC benchmark Transformers Can Do Arithmetic with the Right Embeddings

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T19:59:12.448981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3663ccc7-1add-4d40-b05d-486a76230eb3 · inbound

Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges cites this paper.

Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges Transformers Can Do Arithmetic with the Right Embeddings

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T14:54:29.216958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c807c6e1-b0ba-49eb-af9b-3e94170d5986 · inbound

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

FoNE: Precise Single-Token Number Embeddings via Fourier Features Transformers Can Do Arithmetic with the Right Embeddings

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:12:28.794170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4e8c3e48-40d4-4698-9263-e8f5be05db7e · inbound

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

(How) Can Transformers Predict Pseudo-Random Numbers? Transformers Can Do Arithmetic with the Right Embeddings

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T18:32:14.746603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec53643b-0ec3-463e-8512-a7b65201e533 · inbound

Extrapolation by Association: Length Generalization Transfer in Transformers cites this paper.

Extrapolation by Association: Length Generalization Transfer in Transformers Transformers Can Do Arithmetic with the Right Embeddings

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:22.551425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fa04146-cb6c-4860-b6c9-f962d1d1a8ff · inbound

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance cites this paper.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Transformers Can Do Arithmetic with the Right Embeddings

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:14.868726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e567117-99c0-477c-8198-9162891f8868 · inbound

Reverse Browser: Vector-Image-to-Code Generator cites this paper.

Reverse Browser: Vector-Image-to-Code Generator Transformers Can Do Arithmetic with the Right Embeddings

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T05:46:43.508337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b8c14e5-4b67-4984-acc7-a0a3f2f7e193 · inbound

Training Transformers as a Universal Computer cites this paper.

Training Transformers as a Universal Computer Transformers Can Do Arithmetic with the Right Embeddings

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:36:38.650333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1ac7a6e7-5c3e-4039-970a-fd576ab5c714 · 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 Transformers Can Do Arithmetic with the Right Embeddings

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T16:17:47.704904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.