Paper Citation Record · LEDGER

Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2404.16112.

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

pith.paper-citation-record.v1
2404.16112 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 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:29:04.477213Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T22:13:30.797217Z

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 938c955f-30e7-4c8d-af81-29a20e3896da · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

Reference 143

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:13:30.800063Z

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 663cee02-eab7-4c3b-8875-f909903cae10 · inbound

Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State- Space Architectures from S4 to Mamba cites this paper.

Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State- Space Architectures from S4 to Mamba Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-22T22:12:11.833265Z

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 cce4ee04-6a7e-4af2-9f29-15d8108fcaf8 · inbound

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling cites this paper.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:29:04.477213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cef0914-765c-4a51-8b09-bccfe07b8884 · inbound

TransXSSM: A Hybrid Transformer State Space Model with Unified Rotary Position Embedding cites this paper.

TransXSSM: A Hybrid Transformer State Space Model with Unified Rotary Position Embedding Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:34.641409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ba300c2-cc56-4d1b-95c0-612a9bf8be97 · inbound

BlueGlass: A Framework for Composite AI Safety cites this paper.

BlueGlass: A Framework for Composite AI Safety Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:20.549128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7f3227d-b8ac-4899-b726-0e8998a88d4e · inbound

MeshMamba: State Space Models for Articulated 3D Mesh Generation and Reconstruction cites this paper.

MeshMamba: State Space Models for Articulated 3D Mesh Generation and Reconstruction Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T15:41:39.637292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 411ce85c-7d28-4cbb-99dd-ef554367c7b4 · inbound

Systolic Array-based Accelerator for Structured State-Space Models cites this paper.

Systolic Array-based Accelerator for Structured State-Space Models Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T12:53:28.587381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ea5a851-00f2-49c9-b532-a156e104392c · 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-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-05T10:40:00.196280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0863888f-d04d-49cf-ad98-674e1d523db7 · inbound

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals cites this paper.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

Reference 92

Resolution: malformed identifier; no resolver link, observed 2026-08-04T09:27:13.053955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 748c9581-c0cc-449b-957a-bae4887a2717 · inbound

ABMAMBA: Multimodal Large Language Model with Aligned Hierarchical Bidirectional Scan for Efficient Video Captioning cites this paper.

ABMAMBA: Multimodal Large Language Model with Aligned Hierarchical Bidirectional Scan for Efficient Video Captioning Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:51:08.643778Z

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 a4ccc1ed-f0fd-4909-8258-44e35a936163 · inbound

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

HAMSA: Scanning-Free Vision State Space Models via SpectralPulseNet Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:40:18.969479Z

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 a667a862-7482-42b8-afdc-0b93fcc98193 · inbound

RopeDreamer: A Kinematic Recurrent State Space Model for Dynamics of Flexible Deformable Linear Objects cites this paper.

RopeDreamer: A Kinematic Recurrent State Space Model for Dynamics of Flexible Deformable Linear Objects Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:21:30.203341Z

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.