Paper Citation Record · LEDGER

MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2403.19888.

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

pith.paper-citation-record.v1
2403.19888 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:48:54.534895Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:07.109308Z

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 21ac473f-40c3-410d-939f-b51031eef623 · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:13:30.774089Z

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 d726463b-375c-46e2-831e-a85c42e93189 · inbound

Titans: Learning to Memorize at Test Time cites this paper.

Titans: Learning to Memorize at Test Time MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:08:15.355237Z

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 0dc236b7-c7f6-4f8e-ad94-357af6943228 · inbound

MambaHash: Visual State Space Deep Hashing Model for Large-Scale Image Retrieval cites this paper.

MambaHash: Visual State Space Deep Hashing Model for Large-Scale Image Retrieval MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:54.534895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3625e22c-30f3-4c63-87c4-095448b6967f · inbound

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

Training-free Token Reduction for Vision Mamba MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T16:16:49.197622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0354ac91-e33d-44f1-b336-6f66a762a8f1 · inbound

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation cites this paper.

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:01:46.090390Z

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 34692f8b-0c65-4f76-8af5-8296c4b1f136 · inbound

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation cites this paper.

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T10:25:17.007100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46f7ea7e-2009-40ef-8608-0d5a17ec300e · inbound

DeMa: Dual-Path Delay-Aware Mamba for Efficient Multivariate Time Series Analysis cites this paper.

DeMa: Dual-Path Delay-Aware Mamba for Efficient Multivariate Time Series Analysis MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-21T16:24:15.927900Z

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 21a0273f-52a0-433c-90c8-84e34d4d7c29 · inbound

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

HAMSA: Scanning-Free Vision State Space Models via SpectralPulseNet MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:40:18.964298Z

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 e183750c-2d37-450e-8afc-1dfcb8bd8289 · inbound

A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era cites this paper.

A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection

Reference 125

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:43:01.467531Z

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 26aefca2-f5d5-4b31-96c0-a2cdfe97968c · inbound

Efficient Remote Sensing Instance Segmentation with Linear-Time State Space Distilled Visual Foundation Models cites this paper.

Efficient Remote Sensing Instance Segmentation with Linear-Time State Space Distilled Visual Foundation Models MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:30:07.112047Z

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.