Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improving Transformers with Dynamically Composable Multi-Head Attention
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.08553.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T06:03:19.353231Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 78a2e262-6928-4375-ae3e-d37f98c80da9 · inbound
DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration cites this paper.
DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration Improving Transformers with Dynamically Composable Multi-Head Attention
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:03:19.353231Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1c15df1-44df-4760-8fd7-c7bc65460b6e · inbound
DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models cites this paper.
DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models Improving Transformers with Dynamically Composable Multi-Head Attention
Reference 98
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:47:40.252282Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f90a1b9-e629-4ac6-bff4-7e4d0d4c2b0b · inbound
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers cites this paper.
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers Improving Transformers with Dynamically Composable Multi-Head Attention
Reference 135
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T23:32:46.651894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.