Paper Citation Record · LEDGER

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units

As of 23 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 2 inbound Pith citation observations for arXiv:2502.06924.

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

pith.paper-citation-record.v1
2502.06924 v4

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:40:32.352322Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T03:38:26.132412Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:36:55.093343Z

Reference resolution

21 of 21 outbound references displayed

verified exact1
verified fuzzy12
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29334535-2412-408a-ab8a-554646494f75 · outbound

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

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units Transformers are SSMs: generalized models and efficient algorithms through structured state space duality

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:32.818947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 64e97389-5dcf-496c-9a3e-9e46b63b2568 · outbound

This paper cites NITRO: LLM Inference on Intel Laptop NPUs.

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units NITRO: LLM Inference on Intel Laptop NPUs

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-08T14:40:32.541837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 15f2dd0c-28e2-4076-ad8d-1e7c5f72b96f · outbound

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

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:32.810692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 874b3a82-befc-4a48-9934-bfc80f3efc50 · outbound

This paper cites HiPPO: Recurrent Memory with Optimal Polynomial Projections.

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units HiPPO: Recurrent Memory with Optimal Polynomial Projections

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:32.801452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 46f3667c-0ba2-4c5d-abec-bcf28b92ddc3 · outbound

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

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units Efficiently Modeling Long Sequences with Structured State Spaces

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:32.793522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d010c0a8-502d-407d-9027-2dc487909491 · outbound

This paper cites Intel \ Distribution of OpenVINO \ Toolkit.

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units Intel \ Distribution of OpenVINO \ Toolkit

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:32.787375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 76545994-62f5-45ad-9fea-a4b577dd7ae9 · outbound

This paper cites Intel® Core™ Ultra series mobile processors product brief , 2024 a.

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units Intel® Core™ Ultra series mobile processors product brief , 2024 a

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:32.780755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 61bb0858-5a2f-4cc2-9eda-f8532b332bb4 · outbound

This paper cites Intel® Core™ Ultra series 1 product brief , 2024 b.

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units Intel® Core™ Ultra series 1 product brief , 2024 b

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:32.774218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1ae3cd47-e04c-4d62-8978-b11920626a40 · outbound

This paper cites MARCA: Mamba Accelerator with ReConfigurable Architecture.

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units MARCA: Mamba Accelerator with ReConfigurable Architecture

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:32.256179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b58741e0-ba0c-4719-a41b-7609b17f34d3 · outbound

This paper cites MobileLLM: optimizing sub-billion parameter language models for on-device use cases.

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units MobileLLM: optimizing sub-billion parameter language models for on-device use cases

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:32.767135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2fa352ca-ab8a-49fd-8865-d2ca26225dcd · outbound

This paper cites OpenVINO IR Format: Operation Sets and Specifications.

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units OpenVINO IR Format: Operation Sets and Specifications

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:32.728807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 78189654-2062-4724-a573-4e11b52d9863 · outbound

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

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:32.264351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77a29c69-b3fc-4761-be98-e7bd36247b74 · outbound

This paper cites FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices.

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:32.267690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62eaa70b-c22d-4577-9438-dc0833b70ac6 · outbound

This paper cites Flex-SFU: Accelerating DNN Activation Functions by Non-Uniform Piecewise Approximation.

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units Flex-SFU: Accelerating DNN Activation Functions by Non-Uniform Piecewise Approximation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:32.650856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f125ec69-9ba3-4680-85cc-dd92e3a9d245 · outbound

This paper cites an unresolved cited work.

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-08T14:40:32.579897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b0ddade6-9230-4587-8430-5fcb380f1d4e · outbound

This paper cites Wang et al.

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units Wang et al

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:32.572111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 783e6986-ba81-41f5-8ad7-4dd8b7cdd340 · outbound

This paper cites Kinsy, Nanning Zheng, and Pengju Ren.

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units Kinsy, Nanning Zheng, and Pengju Ren

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:32.563978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 40f3898c-52ce-4571-8b62-53b0e3fed8f4 · outbound

This paper cites write newline.

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units write newline

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:32.282639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1112620a-1c96-4f92-9a45-9922445a7685 · outbound

This paper cites @esa (Ref.

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units @esa (Ref

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:32.286121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7730c6e0-037f-4ab5-aa2a-a34782904a6e · outbound

This paper cites an unresolved cited work.

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:32.318670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06ac8035-bfa4-4718-a57d-351d06525227 · outbound

This paper cites jU HA ZUu^ޚz HcYqYIcv/IO[x r@z V = <V Lj +2Ǥ=Fiͬ1 d>v qC ѨM@ ȡ6q 6( [Aeiw w'8 H : Z׿ w |o [ zj <>uwj^\ ҄;?հ#FO2&=̹ڈ.

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units jU HA ZUu^ޚz HcYqYIcv/IO[x r@z V = <V Lj +2Ǥ=Fiͬ1 d>v qC ѨM@ ȡ6q 6( [Aeiw w'8 H : Z׿ w |o [ zj <>uwj^\ ҄;?հ#FO2&=̹ڈ

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:32.352322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 566f115c-609b-4810-b1da-d3900215f90e · inbound

BIDENT: Heterogeneous Operator-level Mapping for Efficient Edge Inference cites this paper.

BIDENT: Heterogeneous Operator-level Mapping for Efficient Edge Inference XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:26:54.823745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dcce505d-611d-42cc-84f3-0fff19638981 · inbound

MOSAIC: A Workload-Driven Simulation and Design-Space Exploration Framework for Heterogeneous NPUs cites this paper.

MOSAIC: A Workload-Driven Simulation and Design-Space Exploration Framework for Heterogeneous NPUs XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:36:55.094709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.