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Paper Citation Record · LEDGER

Adaptive Mamba Neural Operators

As of 14 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2607.18043.

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pith.paper-citation-record.v1
2607.18043 v1

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measured 21 of 21 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-01T16:25:01.101779Z

measured 21 of 21 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

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21 of 21 outbound references displayed

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Outbound references

Observation 876d58e0-3e51-4164-9799-994dc452baf6 · outbound

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

Adaptive Mamba Neural Operators Efficiently Modeling Long Sequences with Structured State Spaces

Reference 3

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Observation 65917b01-f130-400b-a886-79c45ef8d75e · outbound

This paper cites an unresolved cited work.

Adaptive Mamba Neural Operators Unresolved cited work

Reference 5

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Observation 55d8346f-82cc-403d-8027-78030ed16ea0 · outbound

This paper cites Transformer for Partial Differential Equations' Operator Learning.

Adaptive Mamba Neural Operators Transformer for Partial Differential Equations' Operator Learning

Reference 6

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Observation 05725e52-0498-4c0f-89fd-c7ce5343a6e1 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Adaptive Mamba Neural Operators Fourier Neural Operator for Parametric Partial Differential Equations

Reference 7

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Observation a006ce17-a2e6-4855-919a-d383203233fa · outbound

This paper cites Beyond regular grids: Fourier-based neural operators on arbitrary do- mains.arXiv preprint arXiv:2305.19663,.

Adaptive Mamba Neural Operators Beyond regular grids: Fourier-based neural operators on arbitrary do- mains.arXiv preprint arXiv:2305.19663,

Reference 8

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Observation e5afc2e5-09e7-42bb-8d87-d5abc4d14183 · outbound

This paper cites Decoupled Weight Decay Regularization.

Adaptive Mamba Neural Operators Decoupled Weight Decay Regularization

Reference 9

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Observation 87415c3d-8869-46c4-b8ef-7fd6e00b1261 · outbound

This paper cites Factorized Fourier Neural Operators.

Adaptive Mamba Neural Operators Factorized Fourier Neural Operators

Reference 12

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Observation 5b30fc64-9520-4187-b555-eb0a18373f87 · outbound

This paper cites Solving High-Dimensional PDEs with Latent Spectral Models.

Adaptive Mamba Neural Operators Solving High-Dimensional PDEs with Latent Spectral Models

Reference 13

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Observation 59ebd0e4-41ff-4aae-8a2e-7147f9551414 · outbound

This paper cites Transolver: A Fast Transformer Solver for PDEs on General Geometries.

Adaptive Mamba Neural Operators Transolver: A Fast Transformer Solver for PDEs on General Geometries

Reference 14

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Observation 98990f8a-e1a7-4730-8839-be089b79644c · outbound

This paper cites Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations.

Adaptive Mamba Neural Operators Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations

Reference 15

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Observation d4138121-89db-4aab-9752-5813cc76fb4b · outbound

This paper cites an unresolved cited work.

Adaptive Mamba Neural Operators Unresolved cited work

Reference 16

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Observation d2f81c35-2649-469a-9be7-fc5a6a017322 · outbound

This paper cites For 38, use the mean-value theorem onx7→ √1−xwithx=|a| 2,|b| 2 and||a| 2 − |b|2| ≤ |a−b|(|a|+|b|)≤2|a−b|.

Adaptive Mamba Neural Operators For 38, use the mean-value theorem onx7→ √1−xwithx=|a| 2,|b| 2 and||a| 2 − |b|2| ≤ |a−b|(|a|+|b|)≤2|a−b|

Reference 20

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Observation b9e57999-f83a-4127-8eaf-f254437ea238 · outbound

This paper cites Hence, by Lemma D.2, afterNblocks zN+1 = NX i=1 bci Bi,ˆu N,θ =Q(z N+1 ).(42) Proof.The coefficient claim follows from Lemma D.3 applied toz i in place ofs.

Adaptive Mamba Neural Operators Hence, by Lemma D.2, afterNblocks zN+1 = NX i=1 bci Bi,ˆu N,θ =Q(z N+1 ).(42) Proof.The coefficient claim follows from Lemma D.3 applied toz i in place ofs

Reference 21

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Observation 99f6229a-1c8a-4ec2-8f14-348ae8242514 · outbound

This paper cites Remark.No greedy or maximal selection is used.

Adaptive Mamba Neural Operators Remark.No greedy or maximal selection is used

Reference 28

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Observation 1d6302ac-7338-436f-b0cf-26ae69a7f49a · outbound

This paper cites Proof.Apply Theorem D.6 to bound the latentH-error.

Adaptive Mamba Neural Operators Proof.Apply Theorem D.6 to bound the latentH-error

Reference 35

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Observation 0d8c0b5c-951a-4ba7-95dd-fc59e8dbaef6 · outbound

This paper cites U-NO: U-shaped Neural Operators.

Adaptive Mamba Neural Operators U-NO: U-shaped Neural Operators

Reference 2012

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Observation bd327440-03ad-401f-ac7d-fd2844d4107e · outbound

This paper cites Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers.

Adaptive Mamba Neural Operators Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers

Reference 2021

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Observation d5742dce-e943-4b0d-924d-51afaa81635a · outbound

This paper cites State-space models are accurate and efficient neural operators for dynamical systems.

Adaptive Mamba Neural Operators State-space models are accurate and efficient neural operators for dynamical systems

Reference 2022

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Observation 60922707-cce6-41cf-95f0-3cd4cfd2dce3 · outbound

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

Adaptive Mamba Neural Operators Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 2023

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Observation 7ba0bf35-aa5b-4782-9e5e-efec380dad00 · outbound

This paper cites Mamba neural operator: Who wins? transformers vs.

Adaptive Mamba Neural Operators Mamba neural operator: Who wins? transformers vs

Reference 2024

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Observation a0f2257a-6aab-45d0-872a-c044af71e12b · outbound

This paper cites Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries.

Adaptive Mamba Neural Operators Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries

Reference 2025

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