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Paper Citation Record · LEDGER

Systolic Array-based Accelerator for Structured State-Space Models

As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2507.21394.

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

pith.paper-citation-record.v1
2507.21394 v3

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:53:29.689645Z

measured 38 of 38 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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  • verified fuzzy17
  • unresolved19
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External citation measurements

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Outbound references

Observation 99465838-8897-4efa-b707-ded653d24745 · outbound

This paper cites [Online].

Systolic Array-based Accelerator for Structured State-Space Models [Online]

Reference 1

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Observation 71e98e41-b652-49f7-992d-26c3e989acad · outbound

This paper cites Fused-layer cnn accelerators,.

Systolic Array-based Accelerator for Structured State-Space Models Fused-layer cnn accelerators,

Reference 2

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Observation f9bc9d16-bc95-4f94-a7bb-c1f09af62e8f · outbound

This paper cites Fft computation with systolic arrays, a new architecture,.

Systolic Array-based Accelerator for Structured State-Space Models Fft computation with systolic arrays, a new architecture,

Reference 3

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Observation 4d5fc438-6873-4a52-a6d1-5e8c6c63d040 · outbound

This paper cites Eyeriss: An energy- efficient reconfigurable accelerator for deep convolutional neural net- works,.

Systolic Array-based Accelerator for Structured State-Space Models Eyeriss: An energy- efficient reconfigurable accelerator for deep convolutional neural net- works,

Reference 4

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Observation 638a68ef-8dd6-448d-8a42-8a62a365e526 · outbound

This paper cites Gate-variants of gated recurrent unit (gru) neural networks,.

Systolic Array-based Accelerator for Structured State-Space Models Gate-variants of gated recurrent unit (gru) neural networks,

Reference 5

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Observation 56040fb4-df00-4fc9-ac34-5c7730387226 · outbound

This paper cites Hungry Hungry Hippos: Towards Language Modeling with State Space Models.

Systolic Array-based Accelerator for Structured State-Space Models Hungry Hungry Hippos: Towards Language Modeling with State Space Models

Reference 6

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Observation 97a10497-f6f2-4950-8e69-35a54678c368 · outbound

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

Systolic Array-based Accelerator for Structured State-Space Models Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 7

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Observation 1d4c0412-7b4c-4abb-98cf-d029d8e352e4 · outbound

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

Systolic Array-based Accelerator for Structured State-Space Models Hippo: Recurrent memory with optimal polynomial projections,

Reference 8

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 471fa050-81d5-4c8a-ae48-f3f2f1909410 · outbound

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

Systolic Array-based Accelerator for Structured State-Space Models Efficiently Modeling Long Sequences with Structured State Spaces

Reference 9

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Observation e98ae7dd-43cd-46f0-a62f-af62c56fa1d0 · outbound

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

Systolic Array-based Accelerator for Structured State-Space Models Combining recurrent, convolutional, and continuous-time models with linear state space layers,

Reference 10

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation aa1155cc-380e-47e7-9860-be86780e95d3 · outbound

This paper cites Diagonal State Spaces are as Effective as Structured State Spaces.

Systolic Array-based Accelerator for Structured State-Space Models Diagonal State Spaces are as Effective as Structured State Spaces

Reference 11

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Observation 456551fc-8b67-4ea4-b8e2-f4a6ae750338 · outbound

This paper cites Liquid Time-constant Networks.

Systolic Array-based Accelerator for Structured State-Space Models Liquid Time-constant Networks

Reference 12

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Observation 2d08d603-5582-435d-9fa0-b2cff855af6e · outbound

This paper cites Liquid Structural State-Space Models.

Systolic Array-based Accelerator for Structured State-Space Models Liquid Structural State-Space Models

Reference 13

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Observation d6405a39-11e7-42eb-b9e0-361a2decad0f · outbound

This paper cites Sparse-tpu: adapting systolic arrays for sparse matrices,.

Systolic Array-based Accelerator for Structured State-Space Models Sparse-tpu: adapting systolic arrays for sparse matrices,

Reference 14

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Observation 9da67541-5735-441d-987e-0f6ef87cd035 · outbound

This paper cites Long short-term memory,.

Systolic Array-based Accelerator for Structured State-Space Models Long short-term memory,

Reference 15

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Observation e7b6aa48-a6fe-4469-9124-da71d8c70925 · outbound

This paper cites In-datacenter performance analysis of a tensor processing unit,.

Systolic Array-based Accelerator for Structured State-Space Models In-datacenter performance analysis of a tensor processing unit,

Reference 16

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Observation 56d79dd9-c86a-479c-b1e2-cf800349ecad · outbound

This paper cites Vga: Hardware accelerator for scalable long sequence model inference,.

Systolic Array-based Accelerator for Structured State-Space Models Vga: Hardware accelerator for scalable long sequence model inference,

Reference 17

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2c75295c-78e0-42c1-9a2b-c278d910c500 · outbound

This paper cites tcFFT: Accelerating Half-Precision FFT through Tensor Cores.

Systolic Array-based Accelerator for Structured State-Space Models tcFFT: Accelerating Half-Precision FFT through Tensor Cores

Reference 18

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Observation 6c3f599b-63ff-4dc6-8f1d-baedb2929330 · outbound

This paper cites MARCA: Mamba Accelerator with ReConfigurable Architecture.

Systolic Array-based Accelerator for Structured State-Space Models MARCA: Mamba Accelerator with ReConfigurable Architecture

Reference 19

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Observation a98bcdf8-d0f1-4994-8baf-9b53143a9e57 · outbound

This paper cites Cacti- p: Architecture-level modeling for sram-based structures with advanced leakage reduction techniques,.

Systolic Array-based Accelerator for Structured State-Space Models Cacti- p: Architecture-level modeling for sram-based structures with advanced leakage reduction techniques,

Reference 20

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1a531a70-cb65-4055-87b6-72ec26e570ad · outbound

This paper cites Mamba-nd: Selective state space modeling for multi-dimensional data,.

Systolic Array-based Accelerator for Structured State-Space Models Mamba-nd: Selective state space modeling for multi-dimensional data,

Reference 21

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Observation f64137a9-066f-48c7-9d91-2969c15d9152 · outbound

This paper cites Dual-path rnn: Efficient long sequence modeling for time-domain single-channel speech separation,.

Systolic Array-based Accelerator for Structured State-Space Models Dual-path rnn: Efficient long sequence modeling for time-domain single-channel speech separation,

Reference 22

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Observation 8c0c150e-20a1-482b-aa9d-0a15e726ba1a · outbound

This paper cites Long Range Language Modeling via Gated State Spaces.

Systolic Array-based Accelerator for Structured State-Space Models Long Range Language Modeling via Gated State Spaces

Reference 23

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Observation ccf9bdf7-a98e-48ad-b0c9-b2d15991f757 · outbound

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

Systolic Array-based Accelerator for Structured State-Space Models The Illusion of State in State-Space Models

Reference 24

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Observation 411ce85c-7d28-4cbb-99dd-ef554367c7b4 · outbound

This paper cites Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges.

Systolic Array-based Accelerator for Structured State-Space Models Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

Reference 25

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Observation 0cb25aeb-e2c9-4ef4-9404-67adeb7a208b · outbound

This paper cites A systematic methodology for characterizing scalability of dnn accelerators using scale-sim,.

Systolic Array-based Accelerator for Structured State-Space Models A systematic methodology for characterizing scalability of dnn accelerators using scale-sim,

Reference 26

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Observation 189ad2ab-6370-496d-9ef2-686b11dfcb6b · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

Systolic Array-based Accelerator for Structured State-Space Models Simplified State Space Layers for Sequence Modeling

Reference 27

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Observation 061e9d3d-fbd9-43bc-baf6-25cd077a6649 · outbound

This paper cites Scaling equations for the accurate prediction of cmos device performance from 180nm to 7nm,.

Systolic Array-based Accelerator for Structured State-Space Models Scaling equations for the accurate prediction of cmos device performance from 180nm to 7nm,

Reference 28

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e59aecd6-72f1-47ff-88be-76c09026ad92 · outbound

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

Systolic Array-based Accelerator for Structured State-Space Models Long range arena: A benchmark for efficient transformers,

Reference 29

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 775ba50b-c496-484c-b9df-36b7d636958f · outbound

This paper cites FEATHER: A Reconfigurable Accelerator with Data Reordering Support for Low-Cost On-Chip Dataflow Switching.

Systolic Array-based Accelerator for Structured State-Space Models FEATHER: A Reconfigurable Accelerator with Data Reordering Support for Low-Cost On-Chip Dataflow Switching

Reference 30

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Observation 169484ab-9b4e-43f3-9077-f2322933f60c · outbound

This paper cites an unresolved cited work.

Systolic Array-based Accelerator for Structured State-Space Models Unresolved cited work

Reference 31

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 67f7345f-bda6-4085-a10e-1995ba9d6d67 · outbound

This paper cites Attention is all you need,.

Systolic Array-based Accelerator for Structured State-Space Models Attention is all you need,

Reference 32

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Observation 6805c63d-90b7-48a2-9cc6-a4b805e56f8f · outbound

This paper cites Sequence to sequence – video to text,.

Systolic Array-based Accelerator for Structured State-Space Models Sequence to sequence – video to text,

Reference 33

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raw_fallback, observed 2026-08-06T12:53:31.486499Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6e4d113c-b036-456b-b4e9-3f6fc9788683 · outbound

This paper cites Fastmamba: A high-speed and efficient mamba accelerator on fpga with accurate quantization,.

Systolic Array-based Accelerator for Structured State-Space Models Fastmamba: A high-speed and efficient mamba accelerator on fpga with accurate quantization,

Reference 34

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raw_fallback, observed 2026-08-06T12:53:31.206982Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e2c8a05c-275a-408b-bbd2-f8f174973e59 · outbound

This paper cites State-space models with layer-wise nonlinearity are universal approximators with exponential decaying memory,.

Systolic Array-based Accelerator for Structured State-Space Models State-space models with layer-wise nonlinearity are universal approximators with exponential decaying memory,

Reference 35

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3f062f8b-da85-44c3-bdbc-405bfcf8ce69 · outbound

This paper cites Heterogeneous systolic array architecture for compact cnns hardware accelerators,.

Systolic Array-based Accelerator for Structured State-Space Models Heterogeneous systolic array architecture for compact cnns hardware accelerators,

Reference 36

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raw_fallback, observed 2026-08-06T12:53:30.594810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:29.587679Z digest=sha256:3de7cf281996467895576e8ffb706a516125a8f4c95f067039221c3746019265

Observation 5ef5139b-bd09-4b65-8543-047d616bf586 · outbound

This paper cites Using bidirectional lstm recurrent neural networks to learn high-level abstractions of sequential features for automated scoring of non-native spontaneous speech,.

Systolic Array-based Accelerator for Structured State-Space Models Using bidirectional lstm recurrent neural networks to learn high-level abstractions of sequential features for automated scoring of non-native spontaneous speech,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:30.303417Z

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source=pdf_text observed=2026-08-06T12:53:29.689645Z digest=sha256:c109f99973372adf3654e4db0f106830218b530e4d360d07b519f81204e66796

Observation 364e4119-1a25-40b9-bbcc-016998df9103 · outbound

This paper cites FastMamba: A High-Speed and Efficient Mamba Accelerator on FPGA with Accurate Quantization.

Systolic Array-based Accelerator for Structured State-Space Models FastMamba: A High-Speed and Efficient Mamba Accelerator on FPGA with Accurate Quantization

Reference 2025

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T12:53:29.841868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:29.435014Z digest=sha256:981eb3056831593e7a26fd6fadcbfc6e664fad6ce89307e261ad5fb5cffd1631

Pith citing papers

No inbound Pith citation observations are available.