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Paper Citation Record · LEDGER

Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1703.09393.

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

pith.paper-citation-record.v1
1703.09393 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 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:05:20.424957Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:11:20.349181Z

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 3f8e9c94-9d76-4399-bafd-a494eb7a6c16 · 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 Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-14T14:37:51.468052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:37:51.468052Z digest=sha256:0c5e4f18a645d1a2315798e0800aca1a95b28b33479e25211be35233555c1df9

Observation 51aa48dc-7b2c-42ff-b8bb-481876e27134 · inbound

Crowd Scene Analysis using Deep Learning Techniques cites this paper.

Crowd Scene Analysis using Deep Learning Techniques Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-15T22:05:20.424957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:05:20.424957Z digest=sha256:a39df4765ce3a269125e8807084684ff20d3c2a001c70790f61bd2763b4c0f0c

Observation c753e7be-7923-4e08-8e1b-6e9c57ea6687 · inbound

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

Count2Density: Crowd Density Estimation without Location-level Annotations Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:11:20.352793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T11:11:18.050459Z digest=sha256:6b7e8209bf2755d7af02a9882ff16af0f2831374fbfa1c3d732b1936c93444f5