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Paper Citation Record · LEDGER

Bilinear Attention Networks

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1805.07932.

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

pith.paper-citation-record.v1
1805.07932 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:42:20.478179Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T04:15:49.952437Z

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 b5bd18f8-4233-480d-ae60-4e920092400a · inbound

AME: Aligned Manifold Entropy for Robust Vision-Language Distillation cites this paper.

AME: Aligned Manifold Entropy for Robust Vision-Language Distillation Bilinear Attention Networks

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T17:42:20.478179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:42:20.478179Z digest=sha256:cb4fa47348f1dd66df93973d04e63cb45127bec3a43f476648bd1c9e58d2ef46

Observation 741a5918-2215-4901-8bc0-6c776a4fe413 · inbound

Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference cites this paper.

Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference Bilinear Attention Networks

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:15:49.957110Z

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.

source=pdf_text observed=2026-08-14T04:15:48.650588Z digest=sha256:eb83624d1ad3c705523bd9a32be75f4beba0df0392a2161f285829c27d1b409b