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Paper Citation Record · LEDGER

Multi-head or Single-head? An Empirical Comparison for Transformer Training

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2106.09650.

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

pith.paper-citation-record.v1
2106.09650 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:37:07.599724Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T17:22:24.617610Z

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 4f7676d9-5061-4d50-a2a4-ea539a3a263e · inbound

MiniKV: Pushing the Limits of LLM Inference via 2-Bit Layer-Discriminative KV Cache cites this paper.

MiniKV: Pushing the Limits of LLM Inference via 2-Bit Layer-Discriminative KV Cache Multi-head or Single-head? An Empirical Comparison for Transformer Training

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T11:37:07.599724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:37:07.599724Z digest=sha256:d9ecde8ae57a449935531b5eff898dc50e283effc7fbe29e2adb0b6a6714dcf7

Observation 1daddfc0-f8ee-445d-a807-df2846e9bba9 · inbound

Feature Shift Localization Network cites this paper.

Feature Shift Localization Network Multi-head or Single-head? An Empirical Comparison for Transformer Training

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T05:05:40.392429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:05:40.392429Z digest=sha256:b206496bca372861c1a7fcaf325da280275f82e8ebf22faad349e60864544408

Observation 452d638f-0b85-4487-be8b-a00b94974db8 · inbound

SaliencyDecor: Enhancing Neural Network Interpretability through Feature Decorrelation cites this paper.

SaliencyDecor: Enhancing Neural Network Interpretability through Feature Decorrelation Multi-head or Single-head? An Empirical Comparison for Transformer Training

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:31:16.097939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-07T16:51:03.537142Z digest=sha256:692ac82020a04252df18c6de371a273b9391403a7f724225a5b77fecb522cb2a

Observation d294607d-9782-4cbc-84d4-2507ccb231c1 · inbound

Leaf Spectral Reflectance Prediction Using Multi-Head Attention Neural Networks cites this paper.

Leaf Spectral Reflectance Prediction Using Multi-Head Attention Neural Networks Multi-head or Single-head? An Empirical Comparison for Transformer Training

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-06-28T17:22:24.619142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T17:20:02.824564Z digest=sha256:87bb85273cb6f4e02d43254d0d9e3bc6781a46fe56da7bdc441ff1bd3ab90145