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Paper Citation Record · LEDGER

Single Headed Attention RNN: Stop Thinking With Your Head

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1911.11423.

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

pith.paper-citation-record.v1
1911.11423 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:38:00.794106Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T18:21:32.115656Z

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 78061801-88d3-4995-8ae4-d8ba13334e8e · inbound

Meta-Learning-Based Delayless Subband Adaptive Filter using Complex Self-Attention for Active Noise Control cites this paper.

Meta-Learning-Based Delayless Subband Adaptive Filter using Complex Self-Attention for Active Noise Control Single Headed Attention RNN: Stop Thinking With Your Head

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-11T00:38:00.794106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:38:00.794106Z digest=sha256:4d31248cf341ac3a380c2a46ee19588f69fa8209712434f69cfa5767e09cffd4

Observation a548c7c4-f9c4-4b60-a327-2eeb6c48006e · inbound

Efficient Language Modeling for Low-Resource Settings with Hybrid RNN-Transformer Architectures cites this paper.

Efficient Language Modeling for Low-Resource Settings with Hybrid RNN-Transformer Architectures Single Headed Attention RNN: Stop Thinking With Your Head

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-09T18:21:32.121578Z

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=2026-08-09T18:21:31.590522Z digest=sha256:0f3e24108d673d040330fbe8b8e10bc02fd256c9dfe275380459987f8e5b1fca