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Paper Citation Record · LEDGER

Positional Attention: Expressivity and Learnability of Algorithmic Computation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.01686.

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

pith.paper-citation-record.v1
2410.01686 v3

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:58:58.644090Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T21:56:40.592421Z

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 2cdd0f68-d1d3-4e0e-80aa-fbb474b95451 · inbound

Learning Model Successors cites this paper.

Learning Model Successors Positional Attention: Expressivity and Learnability of Algorithmic Computation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-09T19:58:58.644090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:58:58.644090Z digest=sha256:d5d62c931340560338813df8bd2697bc8bbdaf2230b545276f8c84dd04650f5b

Observation b86f640b-c11f-439a-bbc6-f2da7b23a2e1 · inbound

Why Code, Why Now: An Information-Theoretic Perspective on the Limits of Machine Learning cites this paper.

Why Code, Why Now: An Information-Theoretic Perspective on the Limits of Machine Learning Positional Attention: Expressivity and Learnability of Algorithmic Computation

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-15T21:56:40.594595Z

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.

source=pdf_text observed=2026-05-15T21:56:16.511473Z digest=sha256:70b07aa4fe853a625f6f0301155a65eadcb4a347eab01484dff26abe5cb6974b