Pith. sign in

Paper Citation Record · LEDGER

Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2409.12347.

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

pith.paper-citation-record.v1
2409.12347 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:53:45.954210Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T17:53:46.192017Z

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 ad60040c-b4e6-4704-8226-ac7b756a1082 · inbound

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification cites this paper.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-12T17:53:46.196361Z

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=2026-08-12T17:53:45.954210Z digest=sha256:10abc2260321c7498b217342214dda4a8954c078aeaecfd060fd34f43e04074f