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Paper Citation Record · LEDGER

SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2403.15360.

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

pith.paper-citation-record.v1
2403.15360 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 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 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:13:31.264903Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:25:47.202041Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation df1eacc7-aeec-4f17-99bb-f7a9cf8175e9 · inbound

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

Titans: Learning to Memorize at Test Time SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 82

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arxiv_id, observed 2026-05-14T22:08:15.337199Z

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.

source=pdf_text observed=2026-05-14T22:08:14.982302Z digest=sha256:641788da6a62160c1fba6929dbaa4274ae6f77a74f04ae2ed16117051fd2db94

Observation eb96609d-dda7-42d9-85f7-8d5c0f9438b5 · 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 SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 64

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arxiv_id, observed 2026-05-22T22:12:11.864939Z

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.

source=pdf_text observed=2026-05-22T22:07:12.198095Z digest=sha256:53019193f4d7416069ab587e0c71bd65c313315ca3c94051e47b64a6c6c8f7fe

Observation 07401123-d2e4-4feb-93cc-43daef27f239 · inbound

Burst Image Super-Resolution via Multi-Cross Attention Encoding and Multi-Scan State-Space Decoding cites this paper.

Burst Image Super-Resolution via Multi-Cross Attention Encoding and Multi-Scan State-Space Decoding SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 44

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no resolver link, observed 2026-08-07T14:13:31.264903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:13:31.264903Z digest=sha256:021419fec844252d2c1c9c8ebf0d4f4e87a9f151f28244b302316fcf3d600636

Observation 11f4c726-aab9-4f00-b71f-7a5a7c810f92 · inbound

SparseSSM: Efficient Selective Structured State Space Models Can Be Pruned in One-Shot cites this paper.

SparseSSM: Efficient Selective Structured State Space Models Can Be Pruned in One-Shot SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 26

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no resolver link, observed 2026-08-07T04:48:38.547686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:48:38.547686Z digest=sha256:f323f6d0444995b16416a0c71e79aeb1346f6ab10c672a32eaa8bbc4310c34d0

Observation 2e692a93-aa63-4c43-8af3-e2c6e037539c · inbound

Exploring State-Space-Model based Language Model in Music Generation cites this paper.

Exploring State-Space-Model based Language Model in Music Generation SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 14

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no resolver link, observed 2026-08-06T19:02:24.360110Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:02:24.360110Z digest=sha256:7728bd72ae73d71a5b318c9d7446bbe5dbab578692563fbdca634d99f7763287

Observation 13a341c5-65fd-4b96-bbe9-176c5f7bb4b2 · inbound

FLDmamba: Integrating Fourier and Laplace Transform Decomposition with Mamba for Enhanced Time Series Prediction cites this paper.

FLDmamba: Integrating Fourier and Laplace Transform Decomposition with Mamba for Enhanced Time Series Prediction SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 24

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no resolver link, observed 2026-08-06T16:42:58.153644Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:42:58.153644Z digest=sha256:92a7870ff235927e21eb12d4a9ebaefb6fd09c804528d3d9f15cc09b7f40862f

Observation cc62720d-7f78-41ab-b956-f66484888252 · inbound

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

Training-free Token Reduction for Vision Mamba SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 32

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no resolver link, observed 2026-08-06T16:16:49.352796Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:16:49.352796Z digest=sha256:02c084674ce8de86495e63ddebc5b6572fd403ea067eb7a1b3f434ae0e943596

Observation 19de04c1-d919-48f4-bce5-c5494077dbff · inbound

Mamba-X: An End-to-End Vision Mamba Accelerator for Edge Computing Devices cites this paper.

Mamba-X: An End-to-End Vision Mamba Accelerator for Edge Computing Devices SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 50

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no resolver link, observed 2026-08-06T04:51:34.723989Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:51:34.723989Z digest=sha256:2778e9d06c29fc4b79397ace539c8857e931d76a94fab1f78b737c46af554840

Observation aae382ba-31da-445a-81e6-ea5817c7d792 · inbound

Straightforward Bayesian A/B testing with Dirichlet posteriors cites this paper.

Straightforward Bayesian A/B testing with Dirichlet posteriors SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 69

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no resolver link, observed 2026-08-05T21:43:17.881130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:43:17.881130Z digest=sha256:39faf67ac21bdded48e8dc1b2ae02c438615d2cb00acc242efeb561924d52e1d

Observation 765a993f-b1ed-41fa-9a07-d934edfd4499 · inbound

Dual Mamba for Node-Specific Representation Learning: Tackling Over-Smoothing with Selective State Space Modeling cites this paper.

Dual Mamba for Node-Specific Representation Learning: Tackling Over-Smoothing with Selective State Space Modeling SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 1

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arxiv_id, observed 2026-05-18T00:00:31.314783Z

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.

source=pdf_text observed=2026-05-18T00:00:24.007243Z digest=sha256:49f416fd19b2b5ce0bc289211e45e4577e121f6109740beb2621d401a766cf7c

Observation 7b8a4883-1efc-429a-8eaa-210fd9dd918d · inbound

CLIMP: Contrastive Language-Image Mamba Pretraining cites this paper.

CLIMP: Contrastive Language-Image Mamba Pretraining SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 7

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no resolver link, observed 2026-08-03T11:22:14.585232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:22:14.585232Z digest=sha256:500ba944e921eac3efe55702c40b80c198decd3bef4e5ace4c44da8793c4222e

Observation 00c709d4-750f-471a-a208-533be2732e3c · inbound

Partial Ring Scan: Revisiting Scan Order in Vision State Space Models cites this paper.

Partial Ring Scan: Revisiting Scan Order in Vision State Space Models SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 46

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no resolver link, observed 2026-08-03T04:45:34.255739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:45:34.255739Z digest=sha256:beb23a97fe3481b4c510a6ded1db53c5cbf216f94496342a4962f7329538ca15

Observation d6f48b8b-16d7-4531-9e0e-9ce95dbf6ae2 · inbound

The Hyperscale Lottery: How State-Space Models Have Sacrificed Edge Efficiency cites this paper.

The Hyperscale Lottery: How State-Space Models Have Sacrificed Edge Efficiency SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 14

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arxiv_id, observed 2026-05-11T06:11:00.971307Z

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.

source=pdf_text observed=2026-05-10T17:46:11.859634Z digest=sha256:80a5409191cc44160b70bfdf757269963ebdcd3aa39b8e71dc6b4c8a55292f7a

Observation 5792c9b8-3c3d-48d4-985e-9d5e508decad · 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 SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 45

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arxiv_id, observed 2026-05-11T05:51:08.591249Z

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.

source=pdf_text observed=2026-05-10T17:55:12.551127Z digest=sha256:707165b7afda36c7f6d08ab9ac95b3560c09e1217fa1877e5f5a1d27cb0be00c

Observation 67ab7b3b-7a71-4b51-a4f7-817bedcae1cf · inbound

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

HAMSA: Scanning-Free Vision State Space Models via SpectralPulseNet SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 43

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arxiv_id, observed 2026-05-10T11:40:18.959058Z

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.

source=pdf_text observed=2026-05-10T11:39:03.041265Z digest=sha256:f0e1c6229b0f34c03f9a7484bf5fe8574c5c81c029960a2ed7c72c231a6cf427

Observation defe6f49-3a53-4676-85b7-9527e7e3f535 · inbound

UniMamba: A Unified Spatial-Temporal Modeling Framework with State-Space and Attention Integration cites this paper.

UniMamba: A Unified Spatial-Temporal Modeling Framework with State-Space and Attention Integration SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 24

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arxiv_id, observed 2026-05-15T14:51:08.458822Z

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.

source=pdf_text observed=2026-05-15T14:50:08.468635Z digest=sha256:70f29f71664d67016721839f5d0629dcf3baa325cea20940adb0812ae0bea0e6

Observation f8e2aeab-bde7-4bda-8a03-ef21e37b9f77 · inbound

GeoCert: Certified Geometric AI for Reliable Forecasting cites this paper.

GeoCert: Certified Geometric AI for Reliable Forecasting SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 31

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arxiv_id, observed 2026-05-11T20:41:13.850215Z

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.

source=pdf_text observed=2026-05-08T08:15:10.739078Z digest=sha256:fd0d5bd80cb5d68eab2e9ac4b3edb4eeb8ba4bb5be26ab1b18b609874ab6f055

Observation 9b650d8f-7d2e-47c2-a2d2-f0e79cc2b74c · inbound

NAKUL-Med: Spectral-Graph State Space Models with Dynamics Kernels for Medical Signals cites this paper.

NAKUL-Med: Spectral-Graph State Space Models with Dynamics Kernels for Medical Signals SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 28

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arxiv_id, observed 2026-05-11T15:21:07.280156Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T20:14:25.075598Z digest=sha256:b94588514d451cb999b5716ee9a26587a3134565dfaf697b832bf80cc014d24d

Observation 3e83373e-beb3-4fab-9ab6-c1ff70c5b6f8 · inbound

A Novel Schur-Decomposition-Based Weight Projection Method for Stable State-Space Neural-Network Architectures cites this paper.

A Novel Schur-Decomposition-Based Weight Projection Method for Stable State-Space Neural-Network Architectures SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 21

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arxiv_id, observed 2026-05-15T01:38:27.474402Z

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.

source=pdf_text observed=2026-05-15T01:38:24.617059Z digest=sha256:d539ef064a85bd98a8a77ca7a684ed865f0b3d93a78b353a8201445fac143bc3

Observation c44aa7ce-1ad7-42a7-88d1-a0de6d2020e9 · inbound

CHASM: Cross-frequency Harmonized Axis-Separable Mixing for Spectral Token Operators cites this paper.

CHASM: Cross-frequency Harmonized Axis-Separable Mixing for Spectral Token Operators SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 52

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arxiv_id, observed 2026-05-15T04:39:44.393496Z

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.

source=arxiv_source observed=2026-05-15T04:38:04.724814Z digest=sha256:d2296794bbfacf98e8a8c4bb7b2a9b2eaeeea75e54f457b4a4ce0acbc4bd4678

Observation 99cadac6-655a-428a-a191-ffa2211b2ee9 · 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 SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 49

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arxiv_id, observed 2026-07-01T14:25:47.203810Z

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.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:e9a49c133d77151a7fb208d5230e4aafe67bf88ec74f6ecb95b2bcacddad5902

Observation 5fb97781-ffbc-4d08-af66-48a1194fdcaa · inbound

Deep Learning Surrogates for Emulating Stochastic Climate Tipping Dynamics cites this paper.

Deep Learning Surrogates for Emulating Stochastic Climate Tipping Dynamics SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 53

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arxiv_id, observed 2026-05-21T07:19:46.977053Z

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.

source=pdf_text observed=2026-05-21T07:15:00.593409Z digest=sha256:2b0b84483acc834a5c2a6a4ceae9f0e094857073be5847b561695b548067a93e

Observation 86685721-be57-4a51-9ce7-0470b50a64b5 · inbound

Graph Mamba Survival Analysis Based on Topology-Aware ordering cites this paper.

Graph Mamba Survival Analysis Based on Topology-Aware ordering SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 36

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arxiv_id, observed 2026-06-30T15:14:47.090444Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T15:09:00.152708Z digest=sha256:4926c7961eb603538ea0aebc3acd6c58174c8ba685e6ebd605db0def6cb7a18f

Observation 9419b961-3d4e-456f-88af-8bd2340f9ff4 · inbound

DCVC-MB: Neural B-Frame Video Compression using State Space Models cites this paper.

DCVC-MB: Neural B-Frame Video Compression using State Space Models SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 29

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no resolver link, observed 2026-08-02T02:36:32.120294Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:36:32.120294Z digest=sha256:cab7b06feaaf31a4c8c904969220888904d440a9585ba70aa2351be3df3f3d9d

Observation c5e3dbc0-3ce4-45f1-8b50-d80463aba438 · inbound

Black-Mamba: Biologically-Inspired Leaky Accumulation for Conceptual Knowledge under Distribution Drift cites this paper.

Black-Mamba: Biologically-Inspired Leaky Accumulation for Conceptual Knowledge under Distribution Drift SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 19

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no resolver link, observed 2026-08-01T14:02:33.659187Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T14:02:33.659187Z digest=sha256:1a85acddce373b6bcf22a378e41a1c220344661a473971430c8d18dbe68097fd