Paper Citation Record · LEDGER

Mamba YOLO: A Simple Baseline for Object Detection with State Space Model

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.05835.

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

pith.paper-citation-record.v1
2406.05835 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:40:59.678691Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:47:23.252847Z

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 a3fd4c72-53c0-45d0-aa1d-0414c9a00486 · inbound

A Survey on Mamba Architecture for Vision Applications cites this paper.

A Survey on Mamba Architecture for Vision Applications Mamba YOLO: A Simple Baseline for Object Detection with State Space Model

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.678691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3de6746-6bb4-4ef1-b4da-f57a0d7c8dc6 · inbound

Selective Structured State Space for Multispectral-fused Small Target Detection cites this paper.

Selective Structured State Space for Multispectral-fused Small Target Detection Mamba YOLO: A Simple Baseline for Object Detection with State Space Model

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:33.383066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8668d7b9-904f-4a16-956e-09a16aefbde5 · inbound

MambaNeXt-YOLO: A Hybrid State Space Model for Real-time Object Detection cites this paper.

MambaNeXt-YOLO: A Hybrid State Space Model for Real-time Object Detection Mamba YOLO: A Simple Baseline for Object Detection with State Space Model

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T11:04:17.824285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f49f7de9-f6f2-4f50-8c17-41332fa870c1 · inbound

Focus Through Motion: RGB-Event Collaborative Token Sparsification for Efficient Object Detection cites this paper.

Focus Through Motion: RGB-Event Collaborative Token Sparsification for Efficient Object Detection Mamba YOLO: A Simple Baseline for Object Detection with State Space Model

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-05T10:40:01.247219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d9ec8a8-418b-4d6d-be0f-50342e8aa68c · inbound

SP-MoMamba: Superpixel-driven Mixture of State Space Experts for Efficient Image Super-Resolution cites this paper.

SP-MoMamba: Superpixel-driven Mixture of State Space Experts for Efficient Image Super-Resolution Mamba YOLO: A Simple Baseline for Object Detection with State Space Model

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:54:01.182978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c192b9ad-17ad-48ec-873d-2479c1c1d787 · inbound

Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines cites this paper.

Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines Mamba YOLO: A Simple Baseline for Object Detection with State Space Model

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:47:23.254284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.