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Paper Citation Record · LEDGER

Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.00522.

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

pith.paper-citation-record.v1
2402.00522 v6

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 2026-08-09T05:28:51.810922Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T14:53:31.290320Z

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 ed352f33-948f-4aad-a02e-453e9df0eec5 · inbound

An Analysis for Reasoning Bias of Language Models with Small Initialization cites this paper.

An Analysis for Reasoning Bias of Language Models with Small Initialization Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-09T05:28:51.810922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:28:51.810922Z digest=sha256:241f497a5c8f33f76d2044db7b371899ffd0eaf2c3041c62679b7d3b23677b23

Observation 08fe3080-15e3-4fb7-a097-f0a4b067d53a · inbound

Measure-to-measure Regression with Transformers cites this paper.

Measure-to-measure Regression with Transformers Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:53:31.291948Z

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=2026-06-29T14:46:53.510044Z digest=sha256:3a39a8331af13e3df56f0301a71f20e81e71ca3dd94ed02d3d5fe14e246ecdbe