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Paper Citation Record · LEDGER

Joint CNN and Transformer Network via weakly supervised Learning for efficient crowd counting

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.06388.

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

pith.paper-citation-record.v1
2203.06388 v1

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:43:32.227290Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:11:20.396004Z

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 018f1966-e080-46b4-a3f2-bc23bec76f7b · inbound

Vision Transformers for Weakly-Supervised Microorganism Enumeration cites this paper.

Vision Transformers for Weakly-Supervised Microorganism Enumeration Joint CNN and Transformer Network via weakly supervised Learning for efficient crowd counting

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T23:43:32.227290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:43:32.227290Z digest=sha256:b69a9ccffab75c93bbd33f055f9d5a53dadca22b0bd156ed6b74236cd50c69a7

Observation 8f1793fd-1d82-4554-b217-618b5e6e3a2e · inbound

Count2Density: Crowd Density Estimation without Location-level Annotations cites this paper.

Count2Density: Crowd Density Estimation without Location-level Annotations Joint CNN and Transformer Network via weakly supervised Learning for efficient crowd counting

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:11:20.399928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T11:11:17.279242Z digest=sha256:df92ad0db47a7ed4e58e5b77d476f2570614bc568a1c259abd49598118828016