Paper Citation Record · LEDGER

Efficiently Modeling Long Sequences with Structured State Spaces

As of 20 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 100 inbound Pith citation observations for arXiv:2111.00396.

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

pith.paper-citation-record.v1
2111.00396 v3

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T10:41:55.618357Z

measured 152 of 152 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 100 of 435 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:10:24.171146Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

52 of 52 outbound references displayed

verified exact13
verified fuzzy37
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

492
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation b8030a3d-2ac2-4434-a9a8-6a735d36adcc · outbound

This paper cites Unitary evolution recurrent neural networks.

Efficiently Modeling Long Sequences with Structured State Spaces Unitary evolution recurrent neural networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.118117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0f12d2b2-0e92-47f0-965f-d840fc877176 · outbound

This paper cites Adaptive Input Representations for Neural Language Modeling.

Efficiently Modeling Long Sequences with Structured State Spaces Adaptive Input Representations for Neural Language Modeling

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:55.849592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 274a6098-ce19-475e-bf9c-62eb445de4ef · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Efficiently Modeling Long Sequences with Structured State Spaces An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:36:06.244499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 31f0ccee-358a-42d6-8e99-5a62a2da3bc6 · outbound

This paper cites Trellis networks for sequence modeling.

Efficiently Modeling Long Sequences with Structured State Spaces Trellis networks for sequence modeling

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.132342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c24f1d07-bb79-485f-bb5d-159c7aa16060 · outbound

This paper cites Dilated recurrent neural networks.

Efficiently Modeling Long Sequences with Structured State Spaces Dilated recurrent neural networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.136919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2b9cc1c3-9a24-4645-80db-9d5ad1a5ef18 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

Efficiently Modeling Long Sequences with Structured State Spaces Generating Long Sequences with Sparse Transformers

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-11T10:41:55.935936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f8691407-21fa-4b04-a17b-b2aa1e84bb11 · outbound

This paper cites Parallelizing legendre memory unit training.

Efficiently Modeling Long Sequences with Structured State Spaces Parallelizing legendre memory unit training

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.143158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e4c2c802-8789-4b89-9c5e-6887cc3205e1 · outbound

This paper cites Rethinking attention with performers.

Efficiently Modeling Long Sequences with Structured State Spaces Rethinking attention with performers

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.147851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7da8b5a1-5ed6-492c-93c8-bc15d78156fb · outbound

This paper cites Language modeling with gated convolutional networks.

Efficiently Modeling Long Sequences with Structured State Spaces Language modeling with gated convolutional networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.153375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eb851318-f1bb-4875-883f-526e90f62e97 · outbound

This paper cites Gru-ode-bayes: Continuous modeling of sporadically-observed time series.

Efficiently Modeling Long Sequences with Structured State Spaces Gru-ode-bayes: Continuous modeling of sporadically-observed time series

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.164378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4a1816a1-5139-4df1-a788-e5bbb13531fd · outbound

This paper cites Adversarial audio synthesis.

Efficiently Modeling Long Sequences with Structured State Spaces Adversarial audio synthesis

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.169619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4e9de88-0420-4f6d-855e-1997c5bd138a · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Efficiently Modeling Long Sequences with Structured State Spaces An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-11T10:41:55.922196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 697b9ca9-12d8-4887-9d7f-644eb59451cd · outbound

This paper cites Lipschitz recurrent neural networks.

Efficiently Modeling Long Sequences with Structured State Spaces Lipschitz recurrent neural networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.176419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e6f31836-7023-4203-8b15-51f1b72222e7 · outbound

This paper cites It's Raw! Audio Generation with State-Space Models.

Efficiently Modeling Long Sequences with Structured State Spaces It's Raw! Audio Generation with State-Space Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:55.840021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4318ead7-41be-4b45-a98a-6b3e9bcd66cd · outbound

This paper cites Matrix computations, volume 3.

Efficiently Modeling Long Sequences with Structured State Spaces Matrix computations, volume 3

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.180811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 92d997cf-24f3-43bf-9444-68743a9061e8 · outbound

This paper cites Hippo: Recurrent memory with optimal polynomial projections.

Efficiently Modeling Long Sequences with Structured State Spaces Hippo: Recurrent memory with optimal polynomial projections

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.189092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f654594a-1618-460c-ac39-b534b9653f0d · outbound

This paper cites Improving the gating mechanism of recurrent neural networks.

Efficiently Modeling Long Sequences with Structured State Spaces Improving the gating mechanism of recurrent neural networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.196181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9f97ce78-58c8-4395-8bc8-8f3670c48fb6 · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with the structured learnable linear state space layer.

Efficiently Modeling Long Sequences with Structured State Spaces Combining recurrent, convolutional, and continuous-time models with the structured learnable linear state space layer

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.201265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 95d9b849-9854-4fcb-9d06-684b2eae7381 · outbound

This paper cites On the Parameterization and Initialization of Diagonal State Space Models.

Efficiently Modeling Long Sequences with Structured State Spaces On the Parameterization and Initialization of Diagonal State Space Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:55.948491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 764ea1e2-8cb9-4570-8db9-89c023959d2a · outbound

This paper cites How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections.

Efficiently Modeling Long Sequences with Structured State Spaces How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:55.822523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 19eb895f-fcf2-4881-9718-5b2337938606 · outbound

This paper cites Long short-term memory.Neural computation, 9(8):1735–1780.

Efficiently Modeling Long Sequences with Structured State Spaces Long short-term memory.Neural computation, 9(8):1735–1780

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.207379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9a1482d8-2330-48e2-9a8e-223d42bf02bf · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.

Efficiently Modeling Long Sequences with Structured State Spaces Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:55.956041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1b85d677-29e7-4798-8efa-07c797263aa9 · outbound

This paper cites Neural Controlled Differential Equations for Irregular Time Series.

Efficiently Modeling Long Sequences with Structured State Spaces Neural Controlled Differential Equations for Irregular Time Series

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:55.860453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 47e05022-d9cb-4891-850e-8c2414bdfd2f · outbound

This paper cites Cheap orthogonal constraints in neural networks: A simple parametrization of the orthogonal and unitary group.

Efficiently Modeling Long Sequences with Structured State Spaces Cheap orthogonal constraints in neural networks: A simple parametrization of the orthogonal and unitary group

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:55.966847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3934478f-9dcc-4367-ae76-7492ee4dc368 · outbound

This paper cites Independently recurrent neural network (IndRNN): Building a longer and deeper RNN.

Efficiently Modeling Long Sequences with Structured State Spaces Independently recurrent neural network (IndRNN): Building a longer and deeper RNN

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:55.972674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bcbc77a5-1631-465c-a864-025432108e30 · outbound

This paper cites Time-aware large kernel convolutions.

Efficiently Modeling Long Sequences with Structured State Spaces Time-aware large kernel convolutions

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:55.985350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 06bdc43f-eb55-4145-8736-a102a2ca9a65 · outbound

This paper cites Scalable language modeling: Wikitext-103 on a single gpu in 12 hours.

Efficiently Modeling Long Sequences with Structured State Spaces Scalable language modeling: Wikitext-103 on a single gpu in 12 hours

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.001355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5a14c320-3519-4396-a963-80c10ca18787 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

Efficiently Modeling Long Sequences with Structured State Spaces WaveNet: A Generative Model for Raw Audio

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-12T20:27:40.593869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8473c13c-6c2b-4e78-9032-f5b2b25cd85c · outbound

This paper cites Structured matrices and polynomials: uniﬁed superfast algorithms.

Efficiently Modeling Long Sequences with Structured State Spaces Structured matrices and polynomials: uniﬁed superfast algorithms

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.010167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 440f0bbe-5a66-4545-9ba9-e314c6df91b5 · outbound

This paper cites Fast approximate computations with cauchy matrices and polynomials.

Efficiently Modeling Long Sequences with Structured State Spaces Fast approximate computations with cauchy matrices and polynomials

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.015237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5a4ed012-90fe-4e24-be5c-e0f290567550 · outbound

This paper cites Transformations of matrix structures work again.

Efficiently Modeling Long Sequences with Structured State Spaces Transformations of matrix structures work again

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.022900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 95028448-b979-4d8a-82b0-0ebe1b3baabd · outbound

This paper cites On the diﬃculty of training recurrent neural networks.

Efficiently Modeling Long Sequences with Structured State Spaces On the diﬃculty of training recurrent neural networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.027768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 19a43242-22fe-4c18-8a47-9202252eeaeb · outbound

This paper cites Fast parametric learning with activation memorization.

Efficiently Modeling Long Sequences with Structured State Spaces Fast parametric learning with activation memorization

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.033555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e8b03c30-3466-4097-8876-3391fd6bc761 · outbound

This paper cites Fast Generation for Convolutional Autoregressive Models.

Efficiently Modeling Long Sequences with Structured State Spaces Fast Generation for Convolutional Autoregressive Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-04T21:54:03.108224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ad13c270-1665-4d24-99d9-7b3d628ffd73 · outbound

This paper cites CKConv: Continuous Kernel Convolution For Sequential Data.

Efficiently Modeling Long Sequences with Structured State Spaces CKConv: Continuous Kernel Convolution For Sequential Data

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:55.911766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e440ce28-e710-4226-99e0-9a730673aa21 · outbound

This paper cites Flexconv: Continuous kernel convolutions with diﬀerentiable kernel sizes.

Efficiently Modeling Long Sequences with Structured State Spaces Flexconv: Continuous kernel convolutions with diﬀerentiable kernel sizes

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.037952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e71ac8c2-962b-416e-b24d-2c367188f39f · outbound

This paper cites Latent ordinary diﬀerential equations for irregularly-sampled time series.

Efficiently Modeling Long Sequences with Structured State Spaces Latent ordinary diﬀerential equations for irregularly-sampled time series

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.046199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 46e8caa6-098c-47c3-8b62-509b69e758aa · outbound

This paper cites Unicornn: A recurrent model for learning very long time dependencies.

Efficiently Modeling Long Sequences with Structured State Spaces Unicornn: A recurrent model for learning very long time dependencies

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.053717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 22243a79-6f5d-43cf-b4c2-343fc0f2cb5b · outbound

This paper cites PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications.

Efficiently Modeling Long Sequences with Structured State Spaces PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:55.764704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 01d905c3-9b8c-4799-921a-cb7f6522f781 · outbound

This paper cites Long range arena : A benchmark for eﬃcient transformers.

Efficiently Modeling Long Sequences with Structured State Spaces Long range arena : A benchmark for eﬃcient transformers

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.058222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 118767e3-ce2a-4ce9-8a48-50bd3c354ec5 · outbound

This paper cites MLP-Mixer: An all-MLP Architecture for Vision.

Efficiently Modeling Long Sequences with Structured State Spaces MLP-Mixer: An all-MLP Architecture for Vision

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:41:55.808830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 91930370-9855-4bce-bc5b-6dff2084004d · outbound

This paper cites Learning longer-term dependencies in RNNs with auxiliary losses.

Efficiently Modeling Long Sequences with Structured State Spaces Learning longer-term dependencies in RNNs with auxiliary losses

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.062544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8813f014-d5b4-44b4-a2d1-86c0c471f1fd · outbound

This paper cites A method of analysing the behaviour of linear systems in terms of time series.

Efficiently Modeling Long Sequences with Structured State Spaces A method of analysing the behaviour of linear systems in terms of time series

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.068659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8cc69601-461b-4056-a0aa-f620c4dd4bf4 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Efficiently Modeling Long Sequences with Structured State Spaces Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.074370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 105bd5a9-1631-4a7f-8a03-bfa22b485aa6 · outbound

This paper cites Legendre memory units: Continuous-time representation in recurrent neural networks.

Efficiently Modeling Long Sequences with Structured State Spaces Legendre memory units: Continuous-time representation in recurrent neural networks

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.081999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5919702c-1bf6-454e-a1c7-f7ff52c37ef4 · outbound

This paper cites Dynamical systems in spiking neuromorphic hardware.

Efficiently Modeling Long Sequences with Structured State Spaces Dynamical systems in spiking neuromorphic hardware

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.089274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 10673835-93d7-4b98-bf5e-e0bf877b1cce · outbound

This paper cites Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition.

Efficiently Modeling Long Sequences with Structured State Spaces Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:55.884166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7ab4d2b0-77e9-459f-a5ff-3a595e0ee953 · outbound

This paper cites Inverting modiﬁed matrices.

Efficiently Modeling Long Sequences with Structured State Spaces Inverting modiﬁed matrices

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.093835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 447f03e2-b715-4cc0-ad0f-9accf3dc5dcc · outbound

This paper cites Pay less attention with lightweight and dynamic convolutions.

Efficiently Modeling Long Sequences with Structured State Spaces Pay less attention with lightweight and dynamic convolutions

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.099822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8d6eab2b-dbd8-45f5-aca6-b7a4a9b991f3 · outbound

This paper cites Informer: Beyond eﬃcient transformer for long sequence time-series forecasting.

Efficiently Modeling Long Sequences with Structured State Spaces Informer: Beyond eﬃcient transformer for long sequence time-series forecasting

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.106010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 02a902d6-fb58-45f3-90f6-1718f8d24316 · outbound

This paper cites Gu et al.

Efficiently Modeling Long Sequences with Structured State Spaces Gu et al

Reference 51

Resolution: malformed identifier; raw_fallback, observed 2026-05-11T10:41:56.112664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 01ffdfd5-59c6-47de-baf1-4862fa45debd · outbound

This paper cites Our S4 model uses the same Transformer backbone as in [ 2].

Efficiently Modeling Long Sequences with Structured State Spaces Our S4 model uses the same Transformer backbone as in [ 2]

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T10:41:56.126538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 94d02f20-374b-4680-9dfe-8d9cdc79db76 · inbound

Retentive Network: A Successor to Transformer for Large Language Models cites this paper.

Retentive Network: A Successor to Transformer for Large Language Models Efficiently Modeling Long Sequences with Structured State Spaces

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-11T20:29:59.816678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c80cbae4-eea0-44dc-bab2-27fce738fa19 · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Efficiently Modeling Long Sequences with Structured State Spaces

Reference 124

Resolution: verified exact; local_arxiv, observed 2026-05-16T08:12:31.525289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 58f618ce-c0c0-4689-bccd-0f490fd2b468 · inbound

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model cites this paper.

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model Efficiently Modeling Long Sequences with Structured State Spaces

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-11T21:37:00.307637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4ff28c73-b19e-4a42-946a-cbcbaebd3c2c · inbound

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models cites this paper.

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models Efficiently Modeling Long Sequences with Structured State Spaces

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-15T06:58:17.501302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cc8d2633-6ef8-4514-8c25-efc8c0a215d1 · inbound

3DMambaComplete: Exploring Structured State Space Model for Point Cloud Completion cites this paper.

3DMambaComplete: Exploring Structured State Space Model for Point Cloud Completion Efficiently Modeling Long Sequences with Structured State Spaces

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-24T02:13:45.191506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0ae45b55-cd9d-4786-8ffa-534d1c00cd56 · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models Efficiently Modeling Long Sequences with Structured State Spaces

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-05-15T02:39:33.667313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 49e0b09c-6a98-4761-aa43-3bb072e14f5a · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba Efficiently Modeling Long Sequences with Structured State Spaces

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-05-23T22:13:30.649357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1c1368fb-1746-42e1-a7ba-74612a60e65d · inbound

SmileyLlama: Modifying Large Language Models for Directed Chemical Space Exploration cites this paper.

SmileyLlama: Modifying Large Language Models for Directed Chemical Space Exploration Efficiently Modeling Long Sequences with Structured State Spaces

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-23T21:18:26.993154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9de64311-10d7-4a49-b54a-5443ed7945df · inbound

M-VAR: Decoupled Scale-wise Autoregressive Modeling for High-Quality Image Generation cites this paper.

M-VAR: Decoupled Scale-wise Autoregressive Modeling for High-Quality Image Generation Efficiently Modeling Long Sequences with Structured State Spaces

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T19:42:18.106347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d725957-d611-4b60-910a-6272ed85db09 · inbound

Deep Loss Convexification for Learning Iterative Models cites this paper.

Deep Loss Convexification for Learning Iterative Models Efficiently Modeling Long Sequences with Structured State Spaces

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-12T19:32:10.602422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d225de18-3901-45d0-bde4-12c9ba38ebb6 · inbound

MambaDETR: Query-based Temporal Modeling using State Space Model for Multi-View 3D Object Detection cites this paper.

MambaDETR: Query-based Temporal Modeling using State Space Model for Multi-View 3D Object Detection Efficiently Modeling Long Sequences with Structured State Spaces

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T16:35:08.635533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f23ff8e-6b62-4c9d-8e1a-f79088d7ba6a · inbound

Hymba: A Hybrid-head Architecture for Small Language Models cites this paper.

Hymba: A Hybrid-head Architecture for Small Language Models Efficiently Modeling Long Sequences with Structured State Spaces

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-12T16:20:32.744134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c510c0a4-112c-411c-85b7-433f7ec6c7d0 · inbound

BEST-STD: Bidirectional Mamba-Enhanced Speech Tokenization for Spoken Term Detection cites this paper.

BEST-STD: Bidirectional Mamba-Enhanced Speech Tokenization for Spoken Term Detection Efficiently Modeling Long Sequences with Structured State Spaces

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T15:37:59.186136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21ba1b2a-1fac-4535-a67c-7d1ea0103b74 · inbound

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning cites this paper.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Efficiently Modeling Long Sequences with Structured State Spaces

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.593795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12a3a627-b817-4887-bc50-3e3cf5fb3fa1 · inbound

State-Space Large Audio Language Models cites this paper.

State-Space Large Audio Language Models Efficiently Modeling Long Sequences with Structured State Spaces

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:44.524512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c94a9a6e-743e-4b84-8c93-d41433fc9fed · inbound

MobileMamba: Lightweight Multi-Receptive Visual Mamba Network cites this paper.

MobileMamba: Lightweight Multi-Receptive Visual Mamba Network Efficiently Modeling Long Sequences with Structured State Spaces

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T13:47:57.957252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 149b0e07-e41f-41a1-b530-2b9075144cf0 · inbound

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning cites this paper.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Efficiently Modeling Long Sequences with Structured State Spaces

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:54.707814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90c23bdb-3eb8-4471-afb9-49457662f078 · inbound

Fast convolution algorithm for state space models cites this paper.

Fast convolution algorithm for state space models Efficiently Modeling Long Sequences with Structured State Spaces

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T15:04:38.225306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a92285dd-a196-4dc2-b759-af2de2e034ef · inbound

EventCrab: Harnessing Frame and Point Synergy for Event-based Action Recognition and Beyond cites this paper.

EventCrab: Harnessing Frame and Point Synergy for Event-based Action Recognition and Beyond Efficiently Modeling Long Sequences with Structured State Spaces

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-23T16:35:42.358261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 578e36b9-19c8-46cc-8679-ed5703fce668 · inbound

HSLiNets: Hyperspectral Image and LiDAR Data Fusion Using Efficient Dual Non-Linear Feature Learning Networks cites this paper.

HSLiNets: Hyperspectral Image and LiDAR Data Fusion Using Efficient Dual Non-Linear Feature Learning Networks Efficiently Modeling Long Sequences with Structured State Spaces

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T05:35:40.916037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37cf9720-90cd-45f3-b25f-0a3cd9e3f42b · inbound

MambaNUT: Nighttime UAV Tracking via Mamba-based Adaptive Curriculum Learning cites this paper.

MambaNUT: Nighttime UAV Tracking via Mamba-based Adaptive Curriculum Learning Efficiently Modeling Long Sequences with Structured State Spaces

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T05:14:58.591616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf568002-ea25-43a5-a4da-948f71f8f0fa · inbound

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning cites this paper.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Efficiently Modeling Long Sequences with Structured State Spaces

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.880583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53aa712c-a8be-44fe-82a4-0f6329deab16 · inbound

TAS-TsC: A Data-Driven Framework for Estimating Time of Arrival Using Temporal-Attribute-Spatial Tri-space Coordination of Truck Trajectories cites this paper.

TAS-TsC: A Data-Driven Framework for Estimating Time of Arrival Using Temporal-Attribute-Spatial Tri-space Coordination of Truck Trajectories Efficiently Modeling Long Sequences with Structured State Spaces

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T04:45:49.954959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7283d824-5a73-47ce-b29c-fb96dea3564e · inbound

MamKPD: A Simple Mamba Baseline for Real-Time 2D Keypoint Detection cites this paper.

MamKPD: A Simple Mamba Baseline for Real-Time 2D Keypoint Detection Efficiently Modeling Long Sequences with Structured State Spaces

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T04:27:11.323766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdbb0be2-6502-4705-8160-5e456cb34337 · inbound

emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation cites this paper.

emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation Efficiently Modeling Long Sequences with Structured State Spaces

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T23:57:57.066500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 073fc8c9-97dc-4657-bd30-f7b0573e3592 · inbound

Dif4FF: Leveraging Multimodal Diffusion Models and Graph Neural Networks for Accurate New Fashion Product Performance Forecasting cites this paper.

Dif4FF: Leveraging Multimodal Diffusion Models and Graph Neural Networks for Accurate New Fashion Product Performance Forecasting Efficiently Modeling Long Sequences with Structured State Spaces

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T20:39:04.508793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1775d4a0-d3f5-45a2-a65f-6831e90a1402 · inbound

Multimodal Biometric Authentication Using Camera-Based PPG and Fingerprint Fusion cites this paper.

Multimodal Biometric Authentication Using Camera-Based PPG and Fingerprint Fusion Efficiently Modeling Long Sequences with Structured State Spaces

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T20:33:02.586200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 485dab6d-8478-4473-b6c2-6b19874770f4 · inbound

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity cites this paper.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Efficiently Modeling Long Sequences with Structured State Spaces

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T20:02:09.382458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ead01498-c082-4346-a20c-65c9a5943d2d · inbound

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting cites this paper.

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting Efficiently Modeling Long Sequences with Structured State Spaces

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T20:37:52.916435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8744d823-0659-482f-b45d-b7064e01a56b · inbound

MPSI: Mamba enhancement model for pixel-wise sequential interaction Image Super-Resolution cites this paper.

MPSI: Mamba enhancement model for pixel-wise sequential interaction Image Super-Resolution Efficiently Modeling Long Sequences with Structured State Spaces

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T19:00:18.749773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5f37862-ddff-4f0e-a71a-ce7eba450ce4 · inbound

LOMA: Language-assisted Semantic Occupancy Network via Triplane Mamba cites this paper.

LOMA: Language-assisted Semantic Occupancy Network via Triplane Mamba Efficiently Modeling Long Sequences with Structured State Spaces

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T17:56:20.127702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51df9632-b3ea-4c2d-bf26-22c579c8fb3b · inbound

Selective Visual Prompting in Vision Mamba cites this paper.

Selective Visual Prompting in Vision Mamba Efficiently Modeling Long Sequences with Structured State Spaces

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T17:25:02.266778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38a21076-f51b-48e9-adb9-36a7cf81cab1 · inbound

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding cites this paper.

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding Efficiently Modeling Long Sequences with Structured State Spaces

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T16:58:03.058809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f31fdff-1860-4e54-b596-3d9f364712c7 · inbound

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity cites this paper.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Efficiently Modeling Long Sequences with Structured State Spaces

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T16:43:08.255538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18533dc9-b5e8-4699-aeb0-f9feef93be7f · inbound

NowYouSee Me: Context-Aware Automatic Audio Description cites this paper.

NowYouSee Me: Context-Aware Automatic Audio Description Efficiently Modeling Long Sequences with Structured State Spaces

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T16:31:31.833285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd174a5c-7af6-4da6-91bd-b5e17c64cc22 · inbound

XYScanNet: A State Space Model for Single Image Deblurring cites this paper.

XYScanNet: A State Space Model for Single Image Deblurring Efficiently Modeling Long Sequences with Structured State Spaces

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T16:00:12.359413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 058f0557-4499-412e-9fdd-2178830e8139 · inbound

MambaPro: Multi-Modal Object Re-Identification with Mamba Aggregation and Synergistic Prompt cites this paper.

MambaPro: Multi-Modal Object Re-Identification with Mamba Aggregation and Synergistic Prompt Efficiently Modeling Long Sequences with Structured State Spaces

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:36.349564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 527e017e-f326-48ed-abfc-962e599cbf58 · inbound

MASV: Speaker Verification with Global and Local Context Mamba cites this paper.

MASV: Speaker Verification with Global and Local Context Mamba Efficiently Modeling Long Sequences with Structured State Spaces

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T15:27:19.186224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c899b28-1033-4d64-9d36-03d8bdeb7607 · inbound

A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers cites this paper.

A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers Efficiently Modeling Long Sequences with Structured State Spaces

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T15:08:15.646334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1de217c6-6652-4085-808f-dcf0bc3df1f0 · inbound

A Survey of RWKV cites this paper.

A Survey of RWKV Efficiently Modeling Long Sequences with Structured State Spaces

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T11:53:38.467175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 224cfca5-1980-4563-a360-75f7c5257395 · inbound

Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning cites this paper.

Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning Efficiently Modeling Long Sequences with Structured State Spaces

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T11:17:59.039983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0186ffd-74fc-43e6-851f-f14b1c266d7a · inbound

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation cites this paper.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Efficiently Modeling Long Sequences with Structured State Spaces

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:03.872740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7510738f-745e-4d7a-acec-793b96b3703f · inbound

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks cites this paper.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Efficiently Modeling Long Sequences with Structured State Spaces

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T10:56:32.997889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95d88161-29c6-43c9-86ac-1a3995b7f98e · inbound

FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation cites this paper.

FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation Efficiently Modeling Long Sequences with Structured State Spaces

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T05:36:19.731052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 217338d6-b10e-44f5-9ae4-bd581cadefb6 · inbound

Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization cites this paper.

Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization Efficiently Modeling Long Sequences with Structured State Spaces

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T05:18:54.467771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a4a3444-675a-4901-b0c2-3cf95f739ee3 · inbound

Memory makes computation universal, remember? cites this paper.

Memory makes computation universal, remember? Efficiently Modeling Long Sequences with Structured State Spaces

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:52.202315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8f48fff-b2c4-47ee-b72f-ad4f4a1b4713 · inbound

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization cites this paper.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Efficiently Modeling Long Sequences with Structured State Spaces

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T05:04:45.595268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11c6caf7-d88e-4617-884c-9cb45fd03935 · inbound

U-Mamba-Net: A highly efficient Mamba-based U-net style network for noisy and reverberant speech separation cites this paper.

U-Mamba-Net: A highly efficient Mamba-based U-net style network for noisy and reverberant speech separation Efficiently Modeling Long Sequences with Structured State Spaces

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T04:58:49.149015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52d327a1-d34c-46f0-b668-e8d46ee4422c · inbound

Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning cites this paper.

Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning Efficiently Modeling Long Sequences with Structured State Spaces

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T04:51:05.455072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c8e5aaa-3cb6-4f3f-9a22-9f108f7cba2e · inbound

MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration cites this paper.

MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration Efficiently Modeling Long Sequences with Structured State Spaces

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T23:38:16.477098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 818a2245-b488-4df5-b4d1-44daeb4dd555 · inbound

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing cites this paper.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Efficiently Modeling Long Sequences with Structured State Spaces

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T23:40:07.837005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cfe7152-2440-4913-b4f5-79f5ae08f6d4 · inbound

A Study on Context Length and Efficient Transformers for Biomedical Image Analysis cites this paper.

A Study on Context Length and Efficient Transformers for Biomedical Image Analysis Efficiently Modeling Long Sequences with Structured State Spaces

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:50:08.429573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f44c4f39-53a2-4934-a11d-6ed4523c579c · inbound

Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing cites this paper.

Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing Efficiently Modeling Long Sequences with Structured State Spaces

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T22:52:33.445941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec57bc64-637e-4358-a14d-0566b60ba01c · inbound

CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction cites this paper.

CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Efficiently Modeling Long Sequences with Structured State Spaces

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:40:18.505696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f425554-0066-4711-a312-2119755f94d8 · inbound

Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging cites this paper.

Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging Efficiently Modeling Long Sequences with Structured State Spaces

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T22:34:56.897262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83687c86-9c76-437e-91dc-964326a91082 · inbound

H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving cites this paper.

H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving Efficiently Modeling Long Sequences with Structured State Spaces

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T21:42:11.528036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3edfc101-ffe2-497d-9fc6-3b038da89bc6 · inbound

Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps cites this paper.

Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Efficiently Modeling Long Sequences with Structured State Spaces

Reference 1995

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:10.218875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1afdbeea-720a-4560-9954-4dfcc7634dcd · inbound

Logarithmic Memory Networks (LMNs): Efficient Long-Range Sequence Modeling for Resource-Constrained Environments cites this paper.

Logarithmic Memory Networks (LMNs): Efficient Long-Range Sequence Modeling for Resource-Constrained Environments Efficiently Modeling Long Sequences with Structured State Spaces

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:09.581188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e1d2d6a-e3c1-4f99-8d80-f33cfdf5f3f7 · inbound

GLAM: Global-Local Variation Awareness in Mamba-based World Model cites this paper.

GLAM: Global-Local Variation Awareness in Mamba-based World Model Efficiently Modeling Long Sequences with Structured State Spaces

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T17:46:12.814863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43d499f2-3733-4c94-b79d-83f158dacfaa · inbound

GRAMA: Adaptive Graph Autoregressive Moving Average Models cites this paper.

GRAMA: Adaptive Graph Autoregressive Moving Average Models Efficiently Modeling Long Sequences with Structured State Spaces

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T16:57:29.153875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c339b584-ed9a-496e-95a1-ffb37bbe914e · inbound

Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions cites this paper.

Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions Efficiently Modeling Long Sequences with Structured State Spaces

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T16:26:51.210214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9fadad4-d86e-4b90-8e3a-decb807b6c80 · inbound

MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods cites this paper.

MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods Efficiently Modeling Long Sequences with Structured State Spaces

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T16:14:46.376148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5da75cc-6b29-482b-a05e-b10a3a4dcb3c · inbound

CSAOT: Cooperative Multi-Agent System for Active Object Tracking cites this paper.

CSAOT: Cooperative Multi-Agent System for Active Object Tracking Efficiently Modeling Long Sequences with Structured State Spaces

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T15:55:14.053591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccb5b9db-b4c8-444f-befd-24708196cf78 · inbound

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation cites this paper.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Efficiently Modeling Long Sequences with Structured State Spaces

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T14:58:40.289459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22f9a760-b6e6-410b-884c-2cc0d6a2fe43 · inbound

A Deep State Space Model for Rainfall-Runoff Simulations cites this paper.

A Deep State Space Model for Rainfall-Runoff Simulations Efficiently Modeling Long Sequences with Structured State Spaces

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T14:47:45.523351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc4d42a7-7e2f-49d5-805a-cda0d07480fe · inbound

CD-Lamba: Boosting Remote Sensing Change Detection via a Cross-Temporal Locally Adaptive State Space Model cites this paper.

CD-Lamba: Boosting Remote Sensing Change Detection via a Cross-Temporal Locally Adaptive State Space Model Efficiently Modeling Long Sequences with Structured State Spaces

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T14:19:14.405968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdca1d4f-1192-45a3-9b86-63750fb33857 · inbound

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space cites this paper.

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space Efficiently Modeling Long Sequences with Structured State Spaces

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-23T04:42:33.231006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ca3b9ef9-da3f-44f6-a784-2f276d87ba7f · inbound

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel cites this paper.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Efficiently Modeling Long Sequences with Structured State Spaces

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:54.824603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f1c4b22-55f7-4c60-978a-c1dfb61d4965 · inbound

Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware Sparsity cites this paper.

Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware Sparsity Efficiently Modeling Long Sequences with Structured State Spaces

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T13:40:31.678996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22133e76-1b74-4101-ad25-5d625cb362b3 · inbound

Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing cites this paper.

Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing Efficiently Modeling Long Sequences with Structured State Spaces

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T21:19:23.950201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b0bc884-5e8a-43f9-8ebe-46cce7429a27 · inbound

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization cites this paper.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization Efficiently Modeling Long Sequences with Structured State Spaces

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:55.332699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7b2ed77-4b5a-467e-876c-f8d1f2892fc3 · inbound

XRF V2: A Dataset for Action Summarization with Wi-Fi Signals, and IMUs in Phones, Watches, Earbuds, and Glasses cites this paper.

XRF V2: A Dataset for Action Summarization with Wi-Fi Signals, and IMUs in Phones, Watches, Earbuds, and Glasses Efficiently Modeling Long Sequences with Structured State Spaces

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T21:37:00.870410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92f2adb6-0584-4bc7-992e-f56b1a030687 · inbound

Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing cites this paper.

Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing Efficiently Modeling Long Sequences with Structured State Spaces

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T18:28:47.284095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49dd24ba-6aa1-427c-8855-80496bc3b036 · inbound

UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation cites this paper.

UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation Efficiently Modeling Long Sequences with Structured State Spaces

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T13:41:40.301608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bf2e130-0817-46b5-ab3a-94f0e4d224cf · 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 Efficiently Modeling Long Sequences with Structured State Spaces

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T13:05:31.609491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d33a8e67-4932-4eb1-a354-e2994e19ab3a · inbound

A Survey on Mamba Architecture for Vision Applications cites this paper.

A Survey on Mamba Architecture for Vision Applications Efficiently Modeling Long Sequences with Structured State Spaces

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.603952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 314ea728-abd3-4ee8-8b96-84e46f2757e0 · inbound

Mamba Adaptive Anomaly Transformer with association discrepancy for time series cites this paper.

Mamba Adaptive Anomaly Transformer with association discrepancy for time series Efficiently Modeling Long Sequences with Structured State Spaces

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T12:00:09.895801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb9aaf01-1365-4dc8-820e-38d5ad92ca39 · inbound

A Lightweight and Effective Image Tampering Localization Network with Vision Mamba cites this paper.

A Lightweight and Effective Image Tampering Localization Network with Vision Mamba Efficiently Modeling Long Sequences with Structured State Spaces

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T20:04:01.618394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4230eeb7-1326-4089-9bc9-343419d52975 · inbound

From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics cites this paper.

From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics Efficiently Modeling Long Sequences with Structured State Spaces

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T10:08:40.609100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8839e3f-6aab-4ae0-9d68-4e6fbd7613f7 · inbound

CacheMamba: Popularity Prediction for Mobile Edge Caching Networks via Selective State Spaces cites this paper.

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T18:02:00.937435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec8e5613-1f43-446f-9dcd-93328411e426 · inbound

An Efficient Self-Supervised Framework for Long-Sequence EEG Modeling cites this paper.

An Efficient Self-Supervised Framework for Long-Sequence EEG Modeling Efficiently Modeling Long Sequences with Structured State Spaces

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:32:25.768691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d709574e-08d0-4413-8f70-7df0eab3ecd7 · 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 Efficiently Modeling Long Sequences with Structured State Spaces

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-22T22:12:11.739342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8fae5e10-4059-4048-bd79-e8802182a083 · inbound

L2RU: a Structured State Space Model with prescribed L2-bound cites this paper.

L2RU: a Structured State Space Model with prescribed L2-bound Efficiently Modeling Long Sequences with Structured State Spaces

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-22T22:42:13.752141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b3561549-0c68-4a1c-b038-518d2b25d897 · inbound

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion cites this paper.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion Efficiently Modeling Long Sequences with Structured State Spaces

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T12:10:24.171146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c5a0fb2-5f58-47a9-b01c-8b7788b42bd4 · inbound

Efficient Spiking Point Mamba for Point Cloud Analysis cites this paper.

Efficient Spiking Point Mamba for Point Cloud Analysis Efficiently Modeling Long Sequences with Structured State Spaces

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:01.624473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1a2bf1d-dba6-4c11-98ab-9e8c8ba96262 · inbound

VM-BHINet:Vision Mamba Bimanual Hand Interaction Network for 3D Interacting Hand Mesh Recovery From a Single RGB Image cites this paper.

VM-BHINet:Vision Mamba Bimanual Hand Interaction Network for 3D Interacting Hand Mesh Recovery From a Single RGB Image Efficiently Modeling Long Sequences with Structured State Spaces

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:17.318419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7034409e-4b18-45f7-a776-7e001232e2fc · inbound

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification cites this paper.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Efficiently Modeling Long Sequences with Structured State Spaces

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:09.665549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dfe5c32-fdec-4802-857a-cffbaf61590c · inbound

Observability conditions for neural state-space models with eigenvalues and their roots of unity cites this paper.

Observability conditions for neural state-space models with eigenvalues and their roots of unity Efficiently Modeling Long Sequences with Structured State Spaces

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T11:25:45.904688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c70fbeb-592f-47e2-8a2d-aa07aef8cd4f · inbound

MVQA: Mamba with Unified Sampling for Efficient Video Quality Assessment cites this paper.

MVQA: Mamba with Unified Sampling for Efficient Video Quality Assessment Efficiently Modeling Long Sequences with Structured State Spaces

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:58.433649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e4ca0aa-e5b8-44e9-a09b-b40689d14202 · inbound

Fine-Grained Fusion: The Missing Piece in Area-Efficient State Space Model Acceleration cites this paper.

Fine-Grained Fusion: The Missing Piece in Area-Efficient State Space Model Acceleration Efficiently Modeling Long Sequences with Structured State Spaces

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-22T19:11:57.974263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9bb6fb0a-e645-4fcd-b6a6-39cd8b2f3f67 · inbound

Fine-Grained Fusion: The Missing Piece in Area-Efficient State Space Model Acceleration cites this paper.

Fine-Grained Fusion: The Missing Piece in Area-Efficient State Space Model Acceleration Efficiently Modeling Long Sequences with Structured State Spaces

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-22T19:11:57.924373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7a23dff3-df50-4bbb-9723-c934d165c817 · inbound

Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation cites this paper.

Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation Efficiently Modeling Long Sequences with Structured State Spaces

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T10:42:23.012298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d3d9c1d-30e9-471e-b5c6-a8e59904a84d · inbound

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN cites this paper.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Efficiently Modeling Long Sequences with Structured State Spaces

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T10:38:10.358936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1153597c-e6bc-4126-8799-55cfdc7fd615 · inbound

S3MOT: Monocular 3D Object Tracking with Selective State Space Model cites this paper.

S3MOT: Monocular 3D Object Tracking with Selective State Space Model Efficiently Modeling Long Sequences with Structured State Spaces

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T10:30:30.932395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8d28a3b-2dff-45fd-b582-b5fafb5c9c7c · inbound

SSD-Poser: Avatar Pose Estimation with State Space Duality from Sparse Observations cites this paper.

SSD-Poser: Avatar Pose Estimation with State Space Duality from Sparse Observations Efficiently Modeling Long Sequences with Structured State Spaces

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:30.416433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd730783-cfe0-4b47-b222-10735aa94463 · inbound

Adaptive Dual-domain Learning for Underwater Image Enhancement cites this paper.

Adaptive Dual-domain Learning for Underwater Image Enhancement Efficiently Modeling Long Sequences with Structured State Spaces

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T06:03:44.368394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fb5d34d-f589-4a61-bca9-853c28495e7b · inbound

Quantifying Memory Utilization with Effective State-Size cites this paper.

Quantifying Memory Utilization with Effective State-Size Efficiently Modeling Long Sequences with Structured State Spaces

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T05:58:22.673184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a8be072-001d-48c6-b791-ab4ddde942ba · inbound

GPA-RAM: Grasp-Pretraining Augmented Robotic Attention Mamba for Spatial Task Learning cites this paper.

GPA-RAM: Grasp-Pretraining Augmented Robotic Attention Mamba for Spatial Task Learning Efficiently Modeling Long Sequences with Structured State Spaces

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T05:52:46.162890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2f0cb24-5db1-4933-aecf-b88dfedfc264 · inbound

Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and Outlook cites this paper.

Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and Outlook Efficiently Modeling Long Sequences with Structured State Spaces

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T04:40:07.522088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c76f069-33c9-49d4-be2e-375a185f9d31 · inbound

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging cites this paper.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Efficiently Modeling Long Sequences with Structured State Spaces

Reference 130

Resolution: unresolved; no resolver link, observed 2026-08-16T04:37:42.611924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.