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Paper Citation Record · LEDGER

Length Generalization in Arithmetic Transformers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2306.15400.

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

pith.paper-citation-record.v1
2306.15400 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:40:56.590936Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d09cb9bb-7f37-4852-a02f-15dfcdb5a0c0 · inbound

Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks cites this paper.

Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks Length Generalization in Arithmetic Transformers

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:56.590936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:56.590936Z digest=sha256:a42106eeafc58c9f5584f3ee4af25d1cdd9950f7e5ea49747590991b230d97a4

Observation 947c460d-62b3-47b1-8a1b-73edab59c729 · inbound

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

Long-Short Alignment for Effective Long-Context Modeling in LLMs Length Generalization in Arithmetic Transformers

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T04:10:20.054268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:20.054268Z digest=sha256:6de6baa9a8df55d7d969c4290aeb580b69b6c37e933053a2e9bafe550a81ac6c

Observation 945d9ddc-d1c5-4f2e-bc49-d58a8e254d4e · inbound

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

Learning to Execute Graph Algorithms Exactly with Graph Neural Networks Length Generalization in Arithmetic Transformers

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T06:26:56.403597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T06:26:56.403597Z digest=sha256:0f8bd8baf2343bccea3d5555b927f83dfeab5006975bb17a1637f0eabdf3f106

Observation ddfc4989-5246-4970-87da-8f8b63fb1e64 · inbound

On the Mirage of Long-Range Dependency, with an Application to Integer Multiplication cites this paper.

On the Mirage of Long-Range Dependency, with an Application to Integer Multiplication Length Generalization in Arithmetic Transformers

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T21:07:57.629354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:07:37.032208Z digest=sha256:bfec83d4e31af70c76edcb82e258fd4f7cfa240eab74386335a573282d17f000

Observation d0b2c7bd-0025-48d3-84dc-de04ab4c6175 · 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 Length Generalization in Arithmetic Transformers

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:17:58.880515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:40.430384Z digest=sha256:1ac69a6ec05903050c0068541c13b5e1f0ad46f7855300d52a685d8b7c3c4e10

Observation 0e51a67e-38c1-483d-bb00-37870565ce9d · inbound

Generalization in LLM Problem Solving: The Case of the Shortest Path cites this paper.

Generalization in LLM Problem Solving: The Case of the Shortest Path Length Generalization in Arithmetic Transformers

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T10:39:38.193650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T10:37:45.355872Z digest=sha256:6292be3fd33b8c94f07dc1395674b399d9952994a610490625dfe780960880f6

Observation c14b2a64-05ab-4ca7-80cc-c7db45642456 · inbound

Understanding In-Context Learning for Nonlinear Regression with Transformers: Attention as Featurizer cites this paper.

Understanding In-Context Learning for Nonlinear Regression with Transformers: Attention as Featurizer Length Generalization in Arithmetic Transformers

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:16:08.541176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T16:26:09.066390Z digest=sha256:6b541433ec5e2116d97fb92fec38d576550ae7d22a67cba27363b885c5fdf05f

Observation be032f38-555f-46a7-b0e7-2afe15cdf2d2 · inbound

Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction cites this paper.

Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction Length Generalization in Arithmetic Transformers

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:45:57.346516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T02:18:59.088350Z digest=sha256:504508bec90d2156740a299651594c00e40bcc1fc13b1010b84e157b64b8e23c

Observation 6b4a3778-ffa8-40ef-bf67-574ba0eb6392 · inbound

Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction cites this paper.

Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction Length Generalization in Arithmetic Transformers

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T13:25:44.990787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T23:21:19.495375Z digest=sha256:aa3756f481dd878f5e806ca6b22672ec3368cbddaa211aa08979c2b62a657e98

Observation b75e99c7-36e9-4379-944b-f2f6d4a8cd61 · inbound

Fine-Tuning Large Language Models for Quantum Reasoning cites this paper.

Fine-Tuning Large Language Models for Quantum Reasoning Length Generalization in Arithmetic Transformers

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:09:41.923308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T12:02:14.680564Z digest=sha256:dd5c9b4cb19921706dd717084c07b0c83ea964d208cae1b5cc0c0d47cd9a88ab

Observation 4de4381c-a3be-47a4-a41a-096a36215626 · inbound

Frontier Language Models Struggle to Copy: Text Can Be Better Viewed in 2D cites this paper.

Frontier Language Models Struggle to Copy: Text Can Be Better Viewed in 2D Length Generalization in Arithmetic Transformers

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T21:31:00.205807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:31:00.205807Z digest=sha256:54d7f4ce4a7449381cdce73edffb7d908396de547722214105b2d2e270e9ba49