Pith. sign in

Paper Citation Record · LEDGER

Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.20671.

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

pith.paper-citation-record.v1
2405.20671 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:27:30.329707Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:25:44.977778Z

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 c6009500-d3ac-4df5-b0fe-fa336749bb87 · inbound

A Theoretical Framework for OOD Robustness in Transformers using Gevrey Classes cites this paper.

A Theoretical Framework for OOD Robustness in Transformers using Gevrey Classes Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T12:27:30.329707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:27:30.329707Z digest=sha256:046adc77759e954cce2bab6dc7cea539c01aad641845403e2ec367648692e4de

Observation 9df4a6fd-2875-4e04-bb6b-4199b7c47fa5 · inbound

Training Transformers as a Universal Computer cites this paper.

Training Transformers as a Universal Computer Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:36:39.104973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-07T16:36:19.729400Z digest=sha256:608ab41afdcc8e34ed9ae04eb698d23047eba7aacc20ba48b2a790f863f6ae64

Observation f40b2d5c-49df-420c-9909-ddcde893a816 · inbound

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

Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:45:57.355845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-11T02:18:59.088350Z digest=sha256:5497253204181145e06b79bd07f7edb3b53925ad99f9c25de8d83a90ceff56bf

Observation 0a9da6ec-a6e0-484d-a111-ab6374b4a80f · inbound

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

Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:25:44.980267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T23:21:19.495375Z digest=sha256:6ce346cd63cf02f021d7f6805a5f270e4f19541daa6122ab82fc303ee719e55a