Paper Citation Record · LEDGER

An Attentive Survey of Attention Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1904.02874.

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

pith.paper-citation-record.v1
1904.02874 v3

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 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:55:38.547747Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T10:00:37.374667Z

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 037bc9e7-30df-4a56-9131-aec138dc2e9a · inbound

Deep Personalized Re-targeting cites this paper.

Deep Personalized Re-targeting An Attentive Survey of Attention Models

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-25T10:00:37.378091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 649a43f4-dabc-4f7c-845c-8d844175a2f8 · inbound

Achieving 3D Attention via Triplet Squeeze and Excitation Block cites this paper.

Achieving 3D Attention via Triplet Squeeze and Excitation Block An Attentive Survey of Attention Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T22:55:38.547747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bdac8b5-c13b-4ae7-a1c2-aaf766c68dba · inbound

Topos Theory for Generative AI and LLMs cites this paper.

Topos Theory for Generative AI and LLMs An Attentive Survey of Attention Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T04:20:09.174487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b29156c-a736-4d92-99b4-038ec920198f · inbound

A Rose by Any Other Name Would Smell as Sweet: Categorical Homotopy Theory for Large Language Models cites this paper.

A Rose by Any Other Name Would Smell as Sweet: Categorical Homotopy Theory for Large Language Models An Attentive Survey of Attention Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T23:46:18.415612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.