Paper Citation Record · LEDGER

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity

As of 13 August 2026, this Paper Citation Record lists 100 of 125 outbound references and 4 inbound Pith citation observations for arXiv:2412.06148.

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

pith.paper-citation-record.v1
2412.06148 v2

Coverage vector

measured 100 of 125 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:02:09.727075Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:42:46.241827Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T04:12:02.479992Z

Reference resolution

100 of 125 outbound references displayed

verified exact1
verified fuzzy3
unresolved96
parse uncertain0
malformed identifier0
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External citation measurements

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Outbound references

Observation 17c21f63-89e2-49dc-9757-2fdd25ede756 · outbound

This paper cites Optimal-degree polynomial approximations for exponentials and gaussian kernel density estimation.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Optimal-degree polynomial approximations for exponentials and gaussian kernel density estimation

Reference 1

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Observation de98627c-575f-4246-bd15-ce7633e20534 · outbound

This paper cites Computational Complexity: A Modern Approach.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Computational Complexity: A Modern Approach

Reference 2

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Observation 6f2ecae2-7e97-444c-b9b5-b4e1ec0bc336 · outbound

This paper cites Masked Hard-Attention Transformers Recognize Exactly the Star-Free Languages.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Masked Hard-Attention Transformers Recognize Exactly the Star-Free Languages

Reference 3

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Observation 5f3cb070-55bf-4c8e-9a0d-a1d3de1cc673 · outbound

This paper cites Introducing meta llama 3: The most capable openly available llm to date, 2024.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Introducing meta llama 3: The most capable openly available llm to date, 2024

Reference 4

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Observation 1adc0a5b-a2dc-4596-82e2-38fb321eb116 · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku, 2024.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity The claude 3 model family: Opus, sonnet, haiku, 2024

Reference 5

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Observation 4da3f3fc-482f-42f3-8c80-f5f36ef764e8 · outbound

This paper cites Claude 3.5 sonnet, 2024.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Claude 3.5 sonnet, 2024

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T20:02:09.198900Z

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Observation 0bd3ec1f-71d9-44f1-b931-8cfbaf0b221a · outbound

This paper cites Improving time series forecasting using lstm and attention models.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Improving time series forecasting using lstm and attention models

Reference 7

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Observation 134db510-0d45-489d-9a97-a72bca54aafd · outbound

This paper cites Fast attention requires bounded entries.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Fast attention requires bounded entries

Reference 8

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Observation 7c954927-7647-4b06-8963-17ef3166bda5 · outbound

This paper cites Fast rope attention: Combining the polynomial method and fast fourier transform.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Fast rope attention: Combining the polynomial method and fast fourier transform

Reference 9

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Observation 8b294303-cf32-45d6-a3da-18f748492aeb · outbound

This paper cites How to capture higher-order correlations? generalizing matrix softmax attention to kronecker computation.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity How to capture higher-order correlations? generalizing matrix softmax attention to kronecker computation

Reference 10

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Observation c525e17c-373b-4844-980e-b0d60831a2c2 · outbound

This paper cites Bounded-width polynomial-size branching programs recognize exactly those languages in nc.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Bounded-width polynomial-size branching programs recognize exactly those languages in nc

Reference 11

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Observation 798a9a91-aafe-4d31-bf90-14f164172680 · outbound

This paper cites An optimal parallel algorithm for formula evaluation.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity An optimal parallel algorithm for formula evaluation

Reference 12

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Observation 77df17d4-7ef4-44d5-9a16-1ea4e85643eb · outbound

This paper cites Time, hardware, and uniformity.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Time, hardware, and uniformity

Reference 13

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Observation dc48a3b2-9b31-4b1e-9dc6-d9b233d66ebc · outbound

This paper cites Federated Empirical Risk Minimization via Second-Order Method.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Federated Empirical Risk Minimization via Second-Order Method

Reference 14

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Observation 6ff9ab2b-5dc9-49a6-9f04-4eed399ff8e5 · outbound

This paper cites The boolean formula value problem is in alogtime.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity The boolean formula value problem is in alogtime

Reference 15

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Observation f86779e2-bf23-499d-8170-d42f85e50fe7 · outbound

This paper cites Tighter bounds on the expressivity of transformer encoders.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Tighter bounds on the expressivity of transformer encoders

Reference 16

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Observation d620cdb3-942b-4e66-9ab0-bb7700d017f6 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 17

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Observation b37b3d0a-6c2a-4dd8-8d64-f2e3f38c9137 · outbound

This paper cites Transformers in uniform TC ^ 0.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Transformers in uniform TC ^ 0

Reference 18

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Observation bdc065a5-8ddc-4b97-b9bc-f6255af71f1e · outbound

This paper cites Fast gradient computation for rope attention in almost linear time.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Fast gradient computation for rope attention in almost linear time

Reference 19

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Observation 4dbc4cd6-8444-49af-9411-d8dded5d85cc · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 20

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Observation 07b18c77-012d-43e9-a994-5e408fa9c472 · outbound

This paper cites Circuit Complexity Bounds for RoPE-based Transformer Architecture.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Circuit Complexity Bounds for RoPE-based Transformer Architecture

Reference 21

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Observation 2b3bb275-2646-4384-80b0-e757b571193e · outbound

This paper cites Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies

Reference 22

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Observation ac101509-dc89-4a88-8f00-5f430edd80fb · outbound

This paper cites Bypassing the exponential dependency: Looped transformers efficiently learn in-context by multi-step gradient descent.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Bypassing the exponential dependency: Looped transformers efficiently learn in-context by multi-step gradient descent

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T20:02:09.310927Z

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Observation bc4b0ece-bcd0-471c-b9cd-332acc02bad5 · outbound

This paper cites Universal Approximation of Visual Autoregressive Transformers.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Universal Approximation of Visual Autoregressive Transformers

Reference 24

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Observation 73a85fe9-0979-4732-9fe2-16c2ae3a8514 · outbound

This paper cites HSR-Enhanced Sparse Attention Acceleration.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity HSR-Enhanced Sparse Attention Acceleration

Reference 25

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Observation daa95245-ac67-401e-bb33-603460319a03 · outbound

This paper cites Query Complexity of Active Learning for Function Family With Nearly Orthogonal Basis.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Query Complexity of Active Learning for Function Family With Nearly Orthogonal Basis

Reference 26

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Observation d7ec89f2-adad-4bf0-a066-3503a3efe3e0 · outbound

This paper cites Sample complexity of learning parametric quantum circuits.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Sample complexity of learning parametric quantum circuits

Reference 27

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Observation d7450416-7c31-4e97-8d79-2c80263de972 · outbound

This paper cites Transformers are ssms: Generalized models and efficient algorithms through structured state space duality.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Transformers are ssms: Generalized models and efficient algorithms through structured state space duality

Reference 28

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Observation 8560987e-8637-44a0-87fe-0304dadf8fdf · outbound

This paper cites Zero-th order algorithm for softmax attention optimization.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Zero-th order algorithm for softmax attention optimization

Reference 29

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Observation 2ab528ec-eeb3-4f72-8f8a-53f0775402f6 · outbound

This paper cites Randomized and Deterministic Attention Sparsification Algorithms for Over-parameterized Feature Dimension.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Randomized and Deterministic Attention Sparsification Algorithms for Over-parameterized Feature Dimension

Reference 30

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Observation d6b86ea8-988f-461a-b25c-f5d578233031 · outbound

This paper cites A Nearly Optimal Size Coreset Algorithm with Nearly Linear Time.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity A Nearly Optimal Size Coreset Algorithm with Nearly Linear Time

Reference 31

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Observation 5b9ad285-8d09-431c-8faf-551fa2b3bfbc · outbound

This paper cites Faster Robust Tensor Power Method for Arbitrary Order.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Faster Robust Tensor Power Method for Arbitrary Order

Reference 32

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Observation 0eb5edf2-ece7-4f2d-acc1-aee4b4d6158f · outbound

This paper cites Towards revealing the mystery behind chain of thought: a theoretical perspective.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Towards revealing the mystery behind chain of thought: a theoretical perspective

Reference 33

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Observation 50727b36-5d9a-49a9-8698-fed371878b78 · outbound

This paper cites L \'e vy state-space models for tracking and intent prediction of highly maneuverable objects.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity L \'e vy state-space models for tracking and intent prediction of highly maneuverable objects

Reference 34

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Observation 4fe1c2e8-7e22-4f70-80ca-acd43fa27b7e · outbound

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

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 35

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

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

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

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Observation 721f505d-2174-465b-ae76-c98af4af2570 · outbound

This paper cites An Over-parameterized Exponential Regression.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity An Over-parameterized Exponential Regression

Reference 37

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Observation 7ccf519e-54c8-43e3-a7bd-72a99f48e4b2 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context, 2024.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context, 2024

Reference 38

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Observation 075b2f81-e6df-4b6c-9388-76830f41a0d2 · outbound

This paper cites A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time

Reference 39

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Observation 77be342b-27a6-4ea1-a709-26739ce7dd7b · outbound

This paper cites In-Context Learning for Attention Scheme: from Single Softmax Regression to Multiple Softmax Regression via a Tensor Trick.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity In-Context Learning for Attention Scheme: from Single Softmax Regression to Multiple Softmax Regression via a Tensor Trick

Reference 40

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Observation 0594b6c4-eb75-4139-9889-574c557135d6 · outbound

This paper cites GradientCoin: A Peer-to-Peer Decentralized Large Language Models.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity GradientCoin: A Peer-to-Peer Decentralized Large Language Models

Reference 41

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Observation e413429e-ad6b-497d-93b3-0b1d89489234 · outbound

This paper cites An Iterative Algorithm for Rescaled Hyperbolic Functions Regression.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity An Iterative Algorithm for Rescaled Hyperbolic Functions Regression

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T20:02:09.416831Z

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Observation d39a3c81-b684-415c-9928-4d47b68aae36 · outbound

This paper cites Low rank matrix completion via robust alternating minimization in nearly linear time.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Low rank matrix completion via robust alternating minimization in nearly linear time

Reference 43

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Observation a7bc5832-1755-42ca-b84c-c2b6d01cf7da · outbound

This paper cites Uniform constant-depth threshold circuits for division and iterated multiplication.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Uniform constant-depth threshold circuits for division and iterated multiplication

Reference 44

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Observation ff2e2aac-216a-4238-aa6c-0890a7720912 · outbound

This paper cites Formal language recognition by hard attention transformers: Perspectives from circuit complexity.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Formal language recognition by hard attention transformers: Perspectives from circuit complexity

Reference 45

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This paper cites Theoretical limitations of self-attention in neural sequence models.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Theoretical limitations of self-attention in neural sequence models

Reference 46

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Observation e0fd172d-ae43-4f8c-8216-e72fe0a182e4 · outbound

This paper cites On computational limits of modern hopfield models: A fine-grained complexity analysis.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity On computational limits of modern hopfield models: A fine-grained complexity analysis

Reference 47

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Observation f1140f06-6177-4f03-9c3f-c2f06416706c · outbound

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The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Long short-term memory

Reference 48

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Observation bcf842e4-be8d-431f-91d4-8ac57897bdf3 · outbound

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The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Neural networks and physical systems with emergent collective computational abilities

Reference 49

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Observation 4105b4d2-ced2-4051-b896-e6677062171d · outbound

This paper cites Computational limits of low-rank adaptation (lora) fine-tuning for transformer models.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Computational limits of low-rank adaptation (lora) fine-tuning for transformer models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T20:02:09.458573Z

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Observation 3f5ee1da-b467-4783-8952-4204e79f7067 · outbound

This paper cites InstaHide's Sample Complexity When Mixing Two Private Images.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity InstaHide's Sample Complexity When Mixing Two Private Images

Reference 51

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Observation f124c08c-f258-466b-a011-936cb78df01c · outbound

This paper cites Sublinear Time Algorithm for Online Weighted Bipartite Matching.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Sublinear Time Algorithm for Online Weighted Bipartite Matching

Reference 52

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Observation f64dcd86-a220-405e-8aba-d953c6892d64 · outbound

This paper cites A Dynamic Low-Rank Fast Gaussian Transform.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity A Dynamic Low-Rank Fast Gaussian Transform

Reference 53

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Observation aca62197-ea3c-486c-8efa-312f41540dbc · outbound

This paper cites On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality

Reference 54

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Observation 3c73bcdc-16a7-4c25-82ef-94f76625890a · outbound

This paper cites On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs).

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)

Reference 55

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This paper cites On sparse modern hopfield model.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity On sparse modern hopfield model

Reference 56

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This paper cites An efficient state-space model for joint tempo and meter tracking.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity An efficient state-space model for joint tempo and meter tracking

Reference 57

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This paper cites On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis

Reference 58

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This paper cites Circuit Complexity Bounds for Visual Autoregressive Model.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Circuit Complexity Bounds for Visual Autoregressive Model

Reference 59

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Observation e23cb932-0bd6-4e42-92b6-0b6b0c4d94f0 · outbound

This paper cites Curse of attention: A kernel-based perspective for why transformers fail to generalize on time series forecasting and beyond.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Curse of attention: A kernel-based perspective for why transformers fail to generalize on time series forecasting and beyond

Reference 60

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Observation e04c1646-5511-4b26-9f09-535563008eb7 · outbound

This paper cites Faster sampling algorithms for polytopes with small treewidth.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Faster sampling algorithms for polytopes with small treewidth

Reference 61

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Observation e5b27847-6b6e-4326-974b-e19842184d96 · outbound

This paper cites Transformers Learn Shortcuts to Automata.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Transformers Learn Shortcuts to Automata

Reference 62

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This paper cites On the expressive power of modern hopfield networks.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity On the expressive power of modern hopfield networks

Reference 63

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Observation 62c1a84c-23b1-465a-9cad-864a428517f8 · outbound

This paper cites Behavior-dependent linear recurrent units for efficient sequential recommendation.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Behavior-dependent linear recurrent units for efficient sequential recommendation

Reference 64

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Observation 3285d026-5817-4b24-ae46-580acb1b6ee2 · outbound

This paper cites Neural algorithmic reasoning for hypergraphs with looped transformers.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Neural algorithmic reasoning for hypergraphs with looped transformers

Reference 65

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This paper cites Theoretical Constraints on the Expressive Power of $\mathsf{RoPE}$-based Tensor Attention Transformers.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Theoretical Constraints on the Expressive Power of $\mathsf{RoPE}$-based Tensor Attention Transformers

Reference 66

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This paper cites Fine-grained attention i/o complexity: Comprehensive analysis for backward passes.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Fine-grained attention i/o complexity: Comprehensive analysis for backward passes

Reference 67

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Observation 3be6757d-6c51-468a-9ddb-659ef9aa34c9 · outbound

This paper cites Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers

Reference 69

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Observation cab42918-1579-413b-b606-261d3a7c50c6 · outbound

This paper cites Fourier circuits in neural networks and transformers: A case study of modular arithmetic with multiple inputs.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Fourier circuits in neural networks and transformers: A case study of modular arithmetic with multiple inputs

Reference 70

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Observation 2f77fe46-3262-4442-b6e3-590b9452e82f · outbound

This paper cites On the Computational Capability of Graph Neural Networks: A Circuit Complexity Bound Perspective.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity On the Computational Capability of Graph Neural Networks: A Circuit Complexity Bound Perspective

Reference 71

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This paper cites Beyond linear approximations: A novel pruning approach for attention matrix.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Beyond linear approximations: A novel pruning approach for attention matrix

Reference 72

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Observation d0d0c0ad-5b33-442d-8b45-b0a43bfe8001 · outbound

This paper cites A Tighter Complexity Analysis of SparseGPT.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity A Tighter Complexity Analysis of SparseGPT

Reference 73

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This paper cites Fast second-order method for neural networks under small treewidth setting.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Fast second-order method for neural networks under small treewidth setting

Reference 74

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Observation aac25d26-3c0a-4a49-a1a6-4de33ce0a304 · outbound

This paper cites Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models

Reference 75

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This paper cites Uniform last-iterate guarantee for bandits and reinforcement learning.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Uniform last-iterate guarantee for bandits and reinforcement learning

Reference 76

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Observation eb43a625-7536-4e94-a9fb-7ad8d7108334 · outbound

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

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity XYScanNet: A State Space Model for Single Image Deblurring

Reference 77

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:02:11.168417Z

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Observation a19ee249-e5a6-41d8-9754-0b9f657023bc · outbound

This paper cites Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning

Reference 78

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Observation ea8f8c37-7c6c-4c53-81ad-5a6c166e7532 · outbound

This paper cites Chain of thought empowers transformers to solve inherently serial problems.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Chain of thought empowers transformers to solve inherently serial problems

Reference 79

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Observation 58b94d7b-391d-425f-b6f3-411d2a11393a · outbound

This paper cites A Faster $k$-means++ Algorithm.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity A Faster $k$-means++ Algorithm

Reference 80

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This paper cites Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time

Reference 81

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This paper cites Looped relu mlps may be all you need as practical programmable computers.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Looped relu mlps may be all you need as practical programmable computers

Reference 82

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This paper cites Differential privacy of cross-attention with provable guarantee.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Differential privacy of cross-attention with provable guarantee

Reference 83

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This paper cites Tensor attention training: Provably efficient learning of higher-order transformers.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Tensor attention training: Provably efficient learning of higher-order transformers

Reference 84

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This paper cites How to Inverting the Leverage Score Distribution?.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity How to Inverting the Leverage Score Distribution?

Reference 85

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This paper cites Local Convergence of Approximate Newton Method for Two Layer Nonlinear Regression.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Local Convergence of Approximate Newton Method for Two Layer Nonlinear Regression

Reference 86

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This paper cites Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory

Reference 87

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This paper cites Inverting the Leverage Score Gradient: An Efficient Approximate Newton Method.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Inverting the Leverage Score Gradient: An Efficient Approximate Newton Method

Reference 88

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Observation 52d94a84-1280-4a86-b774-a5fa561e8d21 · outbound

This paper cites Solving Regularized Exp, Cosh and Sinh Regression Problems.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Solving Regularized Exp, Cosh and Sinh Regression Problems

Reference 89

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Observation 3e168288-0b56-402f-bb01-2b9313766d74 · outbound

This paper cites Low-switching policy gradient with exploration via online sensitivity sampling.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Low-switching policy gradient with exploration via online sensitivity sampling

Reference 90

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Observation 0615a9ae-d7f8-4e20-a0a4-8705bcf83f21 · outbound

This paper cites On the model-misspecification in reinforcement learning.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity On the model-misspecification in reinforcement learning

Reference 91

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Observation 6ce4e461-dad4-49b0-b9e9-fd43cd5701ac · outbound

This paper cites Introducing llama 3.1: Our most capable models to date, 2024.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Introducing llama 3.1: Our most capable models to date, 2024

Reference 92

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Observation e5689523-2c39-40de-b2ca-c1c01174e4fe · outbound

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

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity The Illusion of State in State-Space Models

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-11T20:02:09.683193Z

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Observation 602455bc-da85-4dac-9c08-f10b58832691 · outbound

This paper cites The parallelism tradeoff: Limitations of log-precision transformers.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity The parallelism tradeoff: Limitations of log-precision transformers

Reference 94

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Observation a016c09e-6e37-4d91-a53c-f2da212814a9 · outbound

This paper cites Saturated transformers are constant-depth threshold circuits.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Saturated transformers are constant-depth threshold circuits

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:02:12.399561Z

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Observation 97a33dd2-8d0f-4ad9-a3f6-f52bc1f2d484 · outbound

This paper cites Efficient threshold circuits for power series.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Efficient threshold circuits for power series

Reference 96

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Observation 8165f4cf-b93a-46d9-8157-bdaedfb7a164 · outbound

This paper cites Gpt-4 technical report, 2023.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Gpt-4 technical report, 2023

Reference 97

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Observation 7f29af0c-4c4f-40b6-bb60-d8c004d97680 · outbound

This paper cites Hello gpt-4o, 2024.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Hello gpt-4o, 2024

Reference 98

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Observation 19a65646-60d5-4214-bdf9-a9308557938b · outbound

This paper cites Introducing openai o1-preview, 2024.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Introducing openai o1-preview, 2024

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:02:12.343585Z

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Observation 97868ae5-6388-472a-988b-e0d4f1ba0352 · outbound

This paper cites On the Turing Completeness of Modern Neural Network Architectures.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity On the Turing Completeness of Modern Neural Network Architectures

Reference 100

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Observation 7ffd477f-9c3b-4653-9d2c-2ccd8b7987dd · outbound

This paper cites Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction

Reference 101

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Pith citing papers

Observation 09ba1839-0bcb-42a1-b703-a1ab59b90376 · inbound

Circuit Complexity Bounds for Visual Autoregressive Model cites this paper.

Circuit Complexity Bounds for Visual Autoregressive Model The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity

Reference 3

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Observation 740a45d7-fa27-4226-b724-3e5037942898 · inbound

High-Order Matching for One-Step Shortcut Diffusion Models cites this paper.

High-Order Matching for One-Step Shortcut Diffusion Models The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity

Reference 9

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Observation 0b2ff850-b1c5-4df3-9ceb-d36b54960654 · inbound

Universal Approximation of Visual Autoregressive Transformers cites this paper.

Universal Approximation of Visual Autoregressive Transformers The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity

Reference 8

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Observation 2443f7ff-636f-4f63-b216-6b89b4924ae7 · inbound

The Serial Scaling Hypothesis cites this paper.

The Serial Scaling Hypothesis The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity

Reference 14

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