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Paper Citation Record · LEDGER

Learning from Synthetic Data for Crowd Counting in the Wild

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1903.03303.

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

pith.paper-citation-record.v1
1903.03303 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:37:51.308746Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:16:20.200758Z

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 b7df4a91-f9d5-440d-9ad7-f1a88e7811ca · inbound

Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs cites this paper.

Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs Learning from Synthetic Data for Crowd Counting in the Wild

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T14:37:51.308746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:37:51.308746Z digest=sha256:c363c082229d09231be4eacf37927cf9d1660e6af41b5a101df92620bd32f6ec

Observation 283d7c45-be60-4b38-ab08-4410cd0ca571 · inbound

Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting cites this paper.

Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Learning from Synthetic Data for Crowd Counting in the Wild

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-14T10:32:59.825713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:32:59.825713Z digest=sha256:b1589f02dbd2c50261d8327d11eb9cedabb95503ef9c2a1ec3a84bf6713be1c9

Observation b3b13c56-9923-42e7-ba2e-7718bf8a29d1 · inbound

Learning to count small and clustered objects with application to bacterial colonies cites this paper.

Learning to count small and clustered objects with application to bacterial colonies Learning from Synthetic Data for Crowd Counting in the Wild

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-07-04T23:27:15.382903Z

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=2026-05-10T02:01:47.384228Z digest=sha256:4592c878d6689626ca0e69dad1a7de6f51b656d6cecdb9f5fc4b57fb0ea2a236