Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.15787.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T12:23:57.809581Z
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
0
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 62b6c806-972d-42b7-bc7e-9af5a335e79c · inbound
Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers cites this paper.
Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count
Reference 8856
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T12:23:57.809581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef27ffc5-517a-4a1c-b5c0-6c5bfab5f9e9 · inbound
On the Spatiotemporal Dynamics of Generalization in Neural Networks cites this paper.
On the Spatiotemporal Dynamics of Generalization in Neural Networks Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T09:00:46.830978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1ab43d13-8c1d-4d3c-859a-9dc800fc5dbb · 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 Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:07:57.688758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 610f50f2-6658-46d5-9875-b399a5c9854d · inbound
Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction cites this paper.
Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:45:57.366901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 882870cc-46a9-4df2-aa28-99252171c7ad · inbound
Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction cites this paper.
Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T13:25:44.993805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.