Paper Citation Record · LEDGER

Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.05892.

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

pith.paper-citation-record.v1
2402.05892 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:05:31.640105Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:25:47.217613Z

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 07a9eef5-9dcd-410f-a340-824574a88de8 · inbound

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach cites this paper.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T13:05:31.640105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc9191ba-b5f5-413e-82cf-59a402be1811 · inbound

Geometric Hyena Networks for Large-scale Equivariant Learning cites this paper.

Geometric Hyena Networks for Large-scale Equivariant Learning Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:44.519384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9424935-0413-47ce-867a-e7566c36f8fc · inbound

Self-supervised ControlNet with Spatio-Temporal Mamba for Real-world Video Super-resolution cites this paper.

Self-supervised ControlNet with Spatio-Temporal Mamba for Real-world Video Super-resolution Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:19.037863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7681307-e2cb-4ad4-9d6b-b623e7e300e2 · inbound

Mamba Drafters for Speculative Decoding cites this paper.

Mamba Drafters for Speculative Decoding Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:12.964834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebd0f54b-3cf4-4fac-a6b1-7f8e523fff3d · inbound

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

HAMSA: Scanning-Free Vision State Space Models via SpectralPulseNet Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:40:18.945413Z

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 278255b2-504a-43c2-836d-3778856f65d7 · 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 Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:25:47.219049Z

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 8289bc1e-7087-4bb8-83ae-0ad241b159e0 · inbound

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

Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:32:35.289726Z

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.