Paper Citation Record · LEDGER

EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2403.09977.

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

pith.paper-citation-record.v1
2403.09977 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:56:32.831998Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:25:47.190043Z

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 1663833d-5331-46ee-9616-ad6f061ff288 · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 145

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:13:30.734688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6ed5ecd9-7135-4bd1-a1d8-bdd2c1728d14 · inbound

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification cites this paper.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:32.831998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdc8a898-f5cd-409b-97c7-cae8d67737db · inbound

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models cites this paper.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T19:15:13.199100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2950387-485f-4054-be2f-61e641763b91 · inbound

QuarterMap: Efficient Post-Training Token Pruning for Visual State Space Models cites this paper.

QuarterMap: Efficient Post-Training Token Pruning for Visual State Space Models EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T17:59:30.230457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94d2db7a-5144-42b7-86d3-4babb6999979 · inbound

Training-free Token Reduction for Vision Mamba cites this paper.

Training-free Token Reduction for Vision Mamba EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T16:16:49.357719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 523e9910-7440-4ea0-979c-2bab3e480c39 · inbound

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation cites this paper.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T14:35:41.202881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6187292d-47e2-401e-b890-4cc59bfedc32 · inbound

HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning cites this paper.

HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T14:04:42.594952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1e5a52a-243f-460c-bbcf-42898f39b90e · inbound

Self-Navigated Residual Mamba for Universal Industrial Anomaly Detection cites this paper.

Self-Navigated Residual Mamba for Universal Industrial Anomaly Detection EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T05:36:22.631734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c317bdf-2d7c-42ca-8244-5286236a622a · inbound

DIME-Net: A Dual-Illumination Adaptive Enhancement Network Based on Retinex and Mixture-of-Experts cites this paper.

DIME-Net: A Dual-Illumination Adaptive Enhancement Network Based on Retinex and Mixture-of-Experts EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T18:55:18.418610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 651cdc8c-e4b0-4cfd-9626-7ef120c20575 · inbound

HAMSA: Scanning-Free Vision State Space Models via SpectralPulseNet cites this paper.

HAMSA: Scanning-Free Vision State Space Models via SpectralPulseNet EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:40:18.908379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9460be16-029b-4886-a2fe-3f2783e125c4 · inbound

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation cites this paper.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:25:47.191714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d24f9ed9-27fc-4a6b-9ab4-f1c0503cc70b · inbound

Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders cites this paper.

Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:32:35.299964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.