Paper Citation Record · LEDGER

Sparse Attention with Linear Units

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2104.07012.

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

pith.paper-citation-record.v1
2104.07012 v2

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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:47.487054Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:25:41.999873Z

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 ad62977a-1cd7-4bab-8647-918ca966a4f4 · inbound

Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection cites this paper.

Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection Sparse Attention with Linear Units

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:44:47.487054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e88edeb-7980-49ae-a051-5e23174cd356 · inbound

Exploring Superposition and Interference in State-of-the-Art Low-Parameter Vision Models cites this paper.

Exploring Superposition and Interference in State-of-the-Art Low-Parameter Vision Models Sparse Attention with Linear Units

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T15:28:08.977986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87f7d3a1-b7a3-4600-90eb-aeb85bea516f · inbound

Empty SPACE: Cross-Attention Sparsity for Concept Erasure in Diffusion Models cites this paper.

Empty SPACE: Cross-Attention Sparsity for Concept Erasure in Diffusion Models Sparse Attention with Linear Units

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:21:18.780829Z

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.

Observation fcd9cf5c-ac0f-4e96-954c-92fa868f0771 · inbound

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation cites this paper.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation Sparse Attention with Linear Units

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:25:42.001428Z

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.