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Paper Citation Record · LEDGER

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach

As of 10 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2502.02209.

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

pith.paper-citation-record.v1
2502.02209 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:05:31.720456Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

  • verified exact3
  • verified fuzzy15
  • unresolved32
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2daf1038-7445-4b27-bbd1-7ca13de0f56b · outbound

This paper cites MambaTab: A Plug-and-Play Model for Learning Tabular Data.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach MambaTab: A Plug-and-Play Model for Learning Tabular Data

Reference 1

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Observation cb40b263-bf0a-4b3e-9f90-d81dc655b614 · outbound

This paper cites The Hidden Attention of Mamba Models.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach The Hidden Attention of Mamba Models

Reference 2

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Observation 73c3e60d-c561-42c3-bcb5-472f0360f1c2 · outbound

This paper cites and Li, Y.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach and Li, Y

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 500e3e21-d214-4954-a9af-6ab4b0613972 · outbound

This paper cites A 2-dimensional state space layer for spatial inductive bias.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach A 2-dimensional state space layer for spatial inductive bias

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 39b46706-d482-40f2-a2df-d04b03365efc · outbound

This paper cites Theoretical Foundations of Deep Selective State-Space Models.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Theoretical Foundations of Deep Selective State-Space Models

Reference 5

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source=arxiv_source observed=2026-08-09T13:05:31.581172Z digest=sha256:930f2bc6c91daeb9d2857850aa4ec6cc8036b6e63245e58a23b5191dc38a3902

Observation d40e7945-c729-482d-bb30-8c61e3314b31 · outbound

This paper cites B., Cohen, N., and Globerson, A.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach B., Cohen, N., and Globerson, A

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 6c7f59aa-caf9-4364-a95a-8a6136a309c3 · outbound

This paper cites Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 056e3391-19a9-482c-8f81-e5c0ee415e9c · outbound

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

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Reference 8

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Observation 81a5460a-d278-48c8-8acc-a171ac0f078c · outbound

This paper cites an unresolved cited work.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d602b697-ffa6-4a6c-9887-fdd6949a63e7 · outbound

This paper cites Norm-based generalization bounds for sparse neural networks.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Norm-based generalization bounds for sparse neural networks

Reference 10

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Observation 14962edd-9a98-4ec3-b12b-60253fbe1d94 · outbound

This paper cites Size-independent sample complexity of neural networks.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Size-independent sample complexity of neural networks

Reference 11

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 9ad28d6d-65d4-42d1-abea-ece3e2987e26 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 12

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Observation 9bf2e130-0817-46b5-ab3a-94f0e4d224cf · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Efficiently Modeling Long Sequences with Structured State Spaces

Reference 13

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Observation de1a745d-c8bf-4d51-b25d-56becde4a60f · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Combining recurrent, convolutional, and continuous-time models with linear state space layers

Reference 14

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Observation 2c6aad89-b7fc-4885-a368-21c380a22b59 · outbound

This paper cites Diagonal state spaces are as effective as structured state spaces.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Diagonal state spaces are as effective as structured state spaces

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7a0f0b83-566a-40fd-ac4d-435367b0ec70 · outbound

This paper cites Simplifying and Understanding State Space Models with Diagonal Linear RNNs.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Simplifying and Understanding State Space Models with Diagonal Linear RNNs

Reference 16

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Observation 24c014df-3b37-43ce-b889-c8392f4930a8 · outbound

This paper cites Gradient descent learns linear dynamical systems.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Gradient descent learns linear dynamical systems

Reference 17

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 660360db-8f95-4608-a415-bb173da35081 · outbound

This paper cites Transformer quality in linear time.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Transformer quality in linear time

Reference 18

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7dfd5ca6-f645-4169-bae3-35077d083a7e · outbound

This paper cites Repeat After Me: Transformers are Better than State Space Models at Copying.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Repeat After Me: Transformers are Better than State Space Models at Copying

Reference 19

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Observation 45878ffb-d9cf-4ca7-8767-4411458a8cbc · outbound

This paper cites Crafting papers on machine learning.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Crafting papers on machine learning

Reference 20

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Observation a4ef0a1f-9abd-4708-9bba-92ff27548ce7 · outbound

This paper cites and Talagrand, M.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach and Talagrand, M

Reference 21

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2170dcd4-4428-4f93-884d-416704938c8c · outbound

This paper cites MiniMax-01: Scaling Foundation Models with Lightning Attention.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach MiniMax-01: Scaling Foundation Models with Lightning Attention

Reference 22

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Observation ab7338ca-2af6-4c19-86c9-a98b5b3e191c · outbound

This paper cites Videomamba: State space model for efficient video understanding.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Videomamba: State space model for efficient video understanding

Reference 23

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 07a9eef5-9dcd-410f-a340-824574a88de8 · outbound

This paper cites Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data.

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

Reference 24

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Observation bf129ebc-fc17-4664-96b9-7652d41cc786 · outbound

This paper cites PointMamba: A Simple State Space Model for Point Cloud Analysis.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach PointMamba: A Simple State Space Model for Point Cloud Analysis

Reference 25

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Observation 018df4f6-d7e7-4632-946b-5ac565ffa57e · outbound

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

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Jamba: A Hybrid Transformer-Mamba Language Model

Reference 26

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Observation 164f529b-736b-4e95-b32a-b1e0481b250a · outbound

This paper cites From Generalization Analysis to Optimization Designs for State Space Models.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach From Generalization Analysis to Optimization Designs for State Space Models

Reference 27

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e3b0c285-4e2b-432c-8f34-470f7ed935bb · outbound

This paper cites Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

Reference 28

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Observation 83c93909-cbe6-4cf7-8494-823868d0fa06 · outbound

This paper cites VMamba: Visual State Space Model.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach VMamba: Visual State Space Model

Reference 29

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Observation 30bc24a4-0f7a-4e0a-952a-3191a11d1f8b · outbound

This paper cites Soft: Softmax-free transformer with linear complexity.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Soft: Softmax-free transformer with linear complexity

Reference 30

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8dc28d31-b5e6-4000-ae28-bc1424de2c74 · outbound

This paper cites Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL

Reference 31

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verified exact
local_arxiv, observed 2026-08-09T13:05:31.905700Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 9e880054-2712-428d-a9ef-dc70b21d720f · outbound

This paper cites Mega: Moving Average Equipped Gated Attention.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Mega: Moving Average Equipped Gated Attention

Reference 32

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Observation d563bd92-2d0f-48c0-af91-ab464aeb2150 · outbound

This paper cites The Illusion of State in State-Space Models.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach The Illusion of State in State-Space Models

Reference 33

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Observation ff124364-c73c-429d-8aa7-47de32624478 · outbound

This paper cites Transnormerllm: A faster and better large language model with improved transnormer.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Transnormerllm: A faster and better large language model with improved transnormer

Reference 34

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raw_fallback, observed 2026-08-09T13:05:32.103009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:05:31.673172Z digest=sha256:ac8433d355fd09920651216dd285e4209e648edbddd5903886718e15122576c3

Observation 54681b64-712b-4e5c-83a1-834e2d45ba3d · outbound

This paper cites Theory, Analysis, and Best Practices for Sigmoid Self-Attention.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Theory, Analysis, and Best Practices for Sigmoid Self-Attention

Reference 35

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source=arxiv_source observed=2026-08-09T13:05:31.676260Z digest=sha256:7e8cb72beb20a20bc8460f01eae6edbfbed5aaa9fa0a8c1c8ae44f0ee4f691a1

Observation 2d11f207-cc80-48cc-ba00-d21254ee3d01 · outbound

This paper cites The expressive capacity of state space models: A formal language perspective.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach The expressive capacity of state space models: A formal language perspective

Reference 36

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Observation f37703f0-9672-4f00-a9fb-6ca927ce0b14 · outbound

This paper cites Scaling laws for linear complexity language models.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Scaling laws for linear complexity language models

Reference 37

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verified fuzzy
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Observation 51bc2367-a434-4621-991f-45c1bc703931 · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Simplified State Space Layers for Sequence Modeling

Reference 38

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Observation e53f0507-83fc-4146-8b25-85253a4e2392 · outbound

This paper cites an unresolved cited work.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Unresolved cited work

Reference 39

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cc396b36-6b49-4ef8-94e3-df71dbb6d908 · outbound

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

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Retentive Network: A Successor to Transformer for Large Language Models

Reference 40

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Observation f4e20521-14ef-4582-995c-9966a8194204 · outbound

This paper cites Training data-efficient image transformers & distillation through attention.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Training data-efficient image transformers & distillation through attention

Reference 41

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Observation 008b1e63-5e60-4ff6-8c59-57b27195d8cd · outbound

This paper cites N., Kaiser, L.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach N., Kaiser, L

Reference 42

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 506b2090-9ddd-4740-8dd0-e750d6ee1c5b · outbound

This paper cites An Empirical Study of Mamba-based Language Models.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach An Empirical Study of Mamba-based Language Models

Reference 43

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Observation 83f353ef-c7d7-41f5-aa0d-c0741de556aa · outbound

This paper cites Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces

Reference 44

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Observation 16e4df6b-f26c-4364-8bce-1704d1cf0531 · outbound

This paper cites Replacing softmax with ReLU in Vision Transformers.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Replacing softmax with ReLU in Vision Transformers

Reference 45

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Observation ccd58ff2-3c00-4402-bc95-8711fd8d2f14 · outbound

This paper cites Secure transformer inference made non-interactive.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Secure transformer inference made non-interactive

Reference 46

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a260030b-536b-44b1-aa32-db60208db5d3 · outbound

This paper cites On the Long Range Abilities of Transformers.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach On the Long Range Abilities of Transformers

Reference 47

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Observation 09c72525-de5a-4d57-9c75-e01d357a8eab · outbound

This paper cites Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption

Reference 48

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Observation fdb70995-2aaa-42c0-b802-131857246dd9 · outbound

This paper cites Falcon Mamba: The First Competitive Attention-free 7B Language Model.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach Falcon Mamba: The First Competitive Attention-free 7B Language Model

Reference 49

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source=arxiv_source observed=2026-08-09T13:05:31.717257Z digest=sha256:4bf3daff5ad78c7ac7287df1835d496db1455c641e9a1d13dbd856ed22c11816

Observation 5d2ad146-87d6-4297-b333-6fd3cd501db0 · outbound

This paper cites write newline.

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach write newline

Reference 50

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source=arxiv_source observed=2026-08-09T13:05:31.720456Z digest=sha256:37ba032d2fc6e4fceb9ca919f78ae1c3d2679dd5bf42d034556492dbf9f7a169

Pith citing papers

No inbound Pith citation observations are available.