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Paper Citation Record · LEDGER

Symmetric Dot-Product Attention for Efficient Training of BERT Language Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.06366.

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

pith.paper-citation-record.v1
2406.06366 v2

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:33:45.734292Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T01:27:45.855517Z

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 bb55ee82-d409-403a-9c24-1f05c717d4ad · inbound

Does Self-Attention Need Separate Weights in Transformers? cites this paper.

Does Self-Attention Need Separate Weights in Transformers? Symmetric Dot-Product Attention for Efficient Training of BERT Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T05:33:45.734292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:33:45.734292Z digest=sha256:c94a5e85ac106b89e7b5efe272cd12915a79f2a32bf09d197568f1eb17d2c718

Observation cb4c8b1a-93f5-4a03-bb9c-304c1b1fb65f · inbound

Fingerprint, Not Blueprint: How Positional Schemes Set the Default Spectral Algebra of Attention cites this paper.

Fingerprint, Not Blueprint: How Positional Schemes Set the Default Spectral Algebra of Attention Symmetric Dot-Product Attention for Efficient Training of BERT Language Models

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-11T01:27:45.882106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-11T01:22:42.362833Z digest=sha256:d1da94a0db93bcb6f96ac424492aca22cb726ae07b1de6a12b5633e96b907c8b