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Paper Citation Record · LEDGER

Transformers Can Do Arithmetic with the Right Embeddings

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:32:14.746603Z

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 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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T03:07:37.363965Z digest=sha256:8e795067304ed83ee13047d545e339df794cd3d4efa5a0e968f6a954a36a1c16

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.

source=arxiv_source observed=2026-08-07T18:32:14.746603Z digest=sha256:559da8f3f8d61b07b230c2058a48f60770f56094618c8515ca06614b0d8aea51

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.

source=arxiv_source observed=2026-08-07T04:59:22.551425Z digest=sha256:529202220dd0631cc401181e74e5b011f6e166442df152b9fc2704a89214410f

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.

source=pdf_text observed=2026-08-06T21:36:14.868726Z digest=sha256:c7fb6835781b545ab1a289432a5e42b0176f3d47f3b9b270e82a32e2ef5b25a2

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.

source=pdf_text observed=2026-08-05T05:46:43.508337Z digest=sha256:826bb1f8155ce94dbe16a65e5e2319f1346151667490a918bc490c49e627c019

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T16:36:19.729400Z digest=sha256:69729ab07f3c5978a4d3c0dfadd58a30f0c243864badcf64bdea71c2a0e37ccf