Pith. sign in

Paper Citation Record · LEDGER

Saccade Attention Networks: Using Transfer Learning of Attention to Reduce Network Sizes

As of 10 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2604.16485.

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

pith.paper-citation-record.v1
2604.16485 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:46:55.861097Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

5 of 5 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fbcdc8a5-14bf-4f13-902c-255169862552 · outbound

This paper cites an unresolved cited work.

Saccade Attention Networks: Using Transfer Learning of Attention to Reduce Network Sizes Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-05-17T18:50:05.944360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:46:55.861097Z digest=sha256:6c69c342a0db3ac18b4ace50269a758fc3e709b93cca29a92a57c42300f0f051

Observation ae9ef40f-9baa-4810-91f3-a097edb3f70a · outbound

This paper cites an unresolved cited work.

Saccade Attention Networks: Using Transfer Learning of Attention to Reduce Network Sizes Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-17T18:50:05.936986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:46:55.861097Z digest=sha256:651209de0384be09554b64305b4e3edd669f2be22b6b15e0ba8ce08787c87246

Observation bb951552-ca21-4c4c-bf55-5633f4af79fd · outbound

This paper cites an unresolved cited work.

Saccade Attention Networks: Using Transfer Learning of Attention to Reduce Network Sizes Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-05-17T18:50:05.933296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:46:55.861097Z digest=sha256:7f3f5ae34e9631d5ac5c1675be6033ee600327084cabb6e98366c1dec9130816

Observation 2550deb0-96c3-4cd9-a771-eebfde378181 · outbound

This paper cites an unresolved cited work.

Saccade Attention Networks: Using Transfer Learning of Attention to Reduce Network Sizes Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-05-17T18:50:05.940366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:46:55.861097Z digest=sha256:9dca0853dff51488a912f01750c36eb6e2c9c376bb1a815fa45b1287c79d89ec

Observation db9aa949-4c6c-4fd9-988a-530f4094b6db · outbound

This paper cites Quantifying Attention Flow in Transformers.

Saccade Attention Networks: Using Transfer Learning of Attention to Reduce Network Sizes Quantifying Attention Flow in Transformers

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T15:50:34.205622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:46:55.861097Z digest=sha256:3bfbd9fd876e29fb21d6f4d51ca36615f02c58423b3bf121c4f6754b2927a07b

Pith citing papers

No inbound Pith citation observations are available.