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Paper Citation Record · LEDGER

CrosswalkNet: An Optimized Deep Learning Framework for Pedestrian Crosswalk Detection in Aerial Images with High-Performance Computing

As of 8 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 1 inbound Pith citation observation for arXiv:2506.07885.

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

pith.paper-citation-record.v1
2506.07885 v1

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:03.796236Z

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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:54:27.453779Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

3 of 3 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8b0ac79-3bc2-49ca-a43c-c9230f827572 · outbound

This paper cites intersection,.

CrosswalkNet: An Optimized Deep Learning Framework for Pedestrian Crosswalk Detection in Aerial Images with High-Performance Computing intersection,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:03.968468Z

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.

source=pdf_text observed=2026-08-07T05:27:03.787570Z digest=sha256:ca1015d510988db003cfdd337bd7686b3b24782ed57afc7e82f48afb51f10a4a

Observation 7614552b-ea59-46ec-80d2-f133d6a7f329 · outbound

This paper cites slicing" was employed, in which the images were divided into smaller, overlapping segments or.

CrosswalkNet: An Optimized Deep Learning Framework for Pedestrian Crosswalk Detection in Aerial Images with High-Performance Computing slicing" was employed, in which the images were divided into smaller, overlapping segments or

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:03.958069Z

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.

source=pdf_text observed=2026-08-07T05:27:03.792231Z digest=sha256:c6692e98e6dfde4af5e4249c3c2f9e4535cbecf936482a9b8f0cdd302f09eee0

Observation 7cd85cab-2247-411f-a080-5979b226903b · outbound

This paper cites an unresolved cited work.

CrosswalkNet: An Optimized Deep Learning Framework for Pedestrian Crosswalk Detection in Aerial Images with High-Performance Computing Unresolved cited work

Reference 5

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T05:27:03.945129Z

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.

source=pdf_text observed=2026-08-07T05:27:03.796236Z digest=sha256:fa635b527b6f311f6cb318e201cc2c962dc8332e412e1b47a556eb5d10b8347a

Pith citing papers

Observation d94b5640-6d2a-4b0d-b24c-18ced799aa75 · inbound

TraversRL: Traversable Pedestrian Pathway Generation With Reinforcement Learning cites this paper.

TraversRL: Traversable Pedestrian Pathway Generation With Reinforcement Learning CrosswalkNet: An Optimized Deep Learning Framework for Pedestrian Crosswalk Detection in Aerial Images with High-Performance Computing

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T17:54:27.453779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:54:27.453779Z digest=sha256:398bff0fd23e17f25f087e4dc698deb15f738e64f539594e014fd7dde33ad8e3