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Paper Citation Record · LEDGER

When Do Transformers Outperform Feedforward and Recurrent Networks? A Statistical Perspective

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.11272.

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

pith.paper-citation-record.v1
2503.11272 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T18:46:47.270980Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:21:09.054894Z

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 6c17338f-29e6-4d26-8a78-c711b5bbf455 · inbound

Delta6: A Low-Cost, 6-DOF Force-Sensing Flexible End-Effector cites this paper.

Delta6: A Low-Cost, 6-DOF Force-Sensing Flexible End-Effector When Do Transformers Outperform Feedforward and Recurrent Networks? A Statistical Perspective

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:55:52.711501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T18:46:47.270980Z digest=sha256:74c2767a27120313c635b9bc67d3f85869730594834b5c06895a99010f633b45

Observation ed01cd27-b05f-4062-8cf0-44ff4e26a187 · inbound

There Will Be a Scientific Theory of Deep Learning cites this paper.

There Will Be a Scientific Theory of Deep Learning When Do Transformers Outperform Feedforward and Recurrent Networks? A Statistical Perspective

Reference 246

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:21:09.058050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-09T20:11:17.616190Z digest=sha256:0a9476be373ee623be7f9d314046e05261b38fe51faa8be2860fee58e6e4c329