Paper Citation Record · LEDGER

VMambaCC: A Visual State Space Model for Crowd Counting

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.03978.

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

pith.paper-citation-record.v1
2405.03978 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:46:32.444114Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:19:12.928161Z

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 fe44f178-8ee4-4ef4-b642-854ef4c1b35e · inbound

DSGC-Net: A Dual-Stream Graph Convolutional Network for Crowd Counting via Feature Correlation Mining cites this paper.

DSGC-Net: A Dual-Stream Graph Convolutional Network for Crowd Counting via Feature Correlation Mining VMambaCC: A Visual State Space Model for Crowd Counting

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T11:46:32.444114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02bcafc4-cd36-4334-9c26-9daab36cf5d2 · inbound

Test-Time Training for Robust Text-Guided Open-Vocabulary Object Counting cites this paper.

Test-Time Training for Robust Text-Guided Open-Vocabulary Object Counting VMambaCC: A Visual State Space Model for Crowd Counting

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:28:56.004870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation efabd3f6-31ce-4e3d-ac1d-55419beb5719 · inbound

MambaCount: Efficient Text-guided Open-vocabulary Object Counting with Spatial Sparse State Space Duality Block cites this paper.

MambaCount: Efficient Text-guided Open-vocabulary Object Counting with Spatial Sparse State Space Duality Block VMambaCC: A Visual State Space Model for Crowd Counting

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:28:52.289690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0d312795-18e5-4033-a5f9-64bee39c28aa · inbound

Multi-Modal Hyper-Graph Fusion for Low-Light Crowd Counting cites this paper.

Multi-Modal Hyper-Graph Fusion for Low-Light Crowd Counting VMambaCC: A Visual State Space Model for Crowd Counting

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:19:12.929544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.