Paper Citation Record · LEDGER

The Hidden Attention of Mamba Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2403.01590.

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

pith.paper-citation-record.v1
2403.01590 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:05:31.570472Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:39:42.436872Z

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 292fe740-a760-45cd-bd10-4c5420384e7b · inbound

Jamba: A Hybrid Transformer-Mamba Language Model cites this paper.

Jamba: A Hybrid Transformer-Mamba Language Model The Hidden Attention of Mamba Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-13T14:11:27.203156Z

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 eac661b7-3d96-48e3-a719-d3587c2ba5dc · inbound

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality cites this paper.

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality The Hidden Attention of Mamba Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:16:25.597352Z

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 cb40b263-bf0a-4b3e-9f90-d81dc655b614 · 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 The Hidden Attention of Mamba Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T13:05:31.570472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91035583-e0b6-425c-8a0c-e8edfb12ee08 · inbound

An Uncertainty Principle for Linear Recurrent Neural Networks cites this paper.

An Uncertainty Principle for Linear Recurrent Neural Networks The Hidden Attention of Mamba Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T22:10:15.869684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d734f903-b508-40c9-b949-3579c9f2f60a · 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 The Hidden Attention of Mamba Models

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-22T22:12:11.680037Z

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 efc92d44-861f-42ec-a292-080bd6af1e31 · inbound

Sparsified State-Space Models are Efficient Highway Networks cites this paper.

Sparsified State-Space Models are Efficient Highway Networks The Hidden Attention of Mamba Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:44.554345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0081204b-3bda-42c1-9e3a-c2277f39cf91 · inbound

Mamba Knockout for Unraveling Factual Information Flow cites this paper.

Mamba Knockout for Unraveling Factual Information Flow The Hidden Attention of Mamba Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:16.556512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecf9b5e7-8e85-4688-8773-38d6114e9c64 · inbound

Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability cites this paper.

Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability The Hidden Attention of Mamba Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:34:07.126332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51cf3fd4-6e8c-4f4f-92e8-b1dfa07b194d · inbound

Change of Thought: Adaptive Test-Time Computation cites this paper.

Change of Thought: Adaptive Test-Time Computation The Hidden Attention of Mamba Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T16:28:21.643795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bffa1a0-aad4-4735-9a13-00aedbfe6eb8 · inbound

Beyond BEV: Optimizing Point-Level Tokens for Collaborative Perception cites this paper.

Beyond BEV: Optimizing Point-Level Tokens for Collaborative Perception The Hidden Attention of Mamba Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T15:42:03.094584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb7cb838-a945-416d-a4ca-2cee66fd6f65 · inbound

How Can Mamba Learn In Context with Outliers and Generalize Provably? cites this paper.

How Can Mamba Learn In Context with Outliers and Generalize Provably? The Hidden Attention of Mamba Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T13:29:28.814893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e02e209d-71ed-45f1-8994-c0bc7ff6f2af · inbound

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 cites this paper.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 The Hidden Attention of Mamba Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:05:37.136118Z

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 dd4a436a-8042-4860-8259-f903475c51a9 · inbound

All Routes Lead to Collapse cites this paper.

All Routes Lead to Collapse The Hidden Attention of Mamba Models

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:39:42.438665Z

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.