Paper Citation Record · LEDGER

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN

As of 5 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 3 inbound Pith citation observations for arXiv:2510.05255.

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

pith.paper-citation-record.v1
2510.05255 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:25:34.129701Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:10:23.222833Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T04:30:53.201721Z

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy0
unresolved34
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 71b86d90-aaa2-4a94-8c42-37d9a7c07285 · outbound

This paper cites ETSI TS 103 983, 01 2024.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN ETSI TS 103 983, 01 2024

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:30.102153Z

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Observation b96368ce-2b6e-4e76-b546-2bbc1d0fa9fe · outbound

This paper cites ETSI TS 104 038, 10 2024.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN ETSI TS 104 038, 10 2024

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:30.140085Z

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Observation 4e1d2741-52fc-4a97-a20d-b59fa1b238af · outbound

This paper cites 2024, (O-RAN.WG10.O1-Interface-R003- v11.00).

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN 2024, (O-RAN.WG10.O1-Interface-R003- v11.00)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:30.268403Z

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Observation 29a7f195-374d-4e7f-b98a-26e5dbd2f821 · outbound

This paper cites 2024, O-RAN.WG1.OAD-R003-v08.00.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN 2024, O-RAN.WG1.OAD-R003-v08.00

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:30.366122Z

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Observation 441ba8d5-39c2-44dd-b4fe-d1008f11f0ed · outbound

This paper cites Attention Is All You Need,.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN Attention Is All You Need,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:30.532401Z

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Observation ff8d9666-9232-4d86-ac73-ffb8f3c98dd2 · outbound

This paper cites Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting,.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:30.706308Z

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Observation 36a04252-d6ae-4079-8040-5a332501d677 · outbound

This paper cites Autoformer: Decomposition Transformers with Auto-Correlation for Long-term Series Forecasting,.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN Autoformer: Decomposition Transformers with Auto-Correlation for Long-term Series Forecasting,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:30.884836Z

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Observation 6b476af1-730f-4424-ac93-27a52f735dc2 · outbound

This paper cites FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting,.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:31.006737Z

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Observation 397f969f-ddcf-4dde-9b40-6d0949e3e6aa · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers,.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN A Time Series is Worth 64 Words: Long-term Forecasting with Transformers,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:31.138550Z

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Observation 531c5e4d-bb48-4293-b11a-9cb41cf49408 · outbound

This paper cites Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting,.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:31.223729Z

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Observation f627d7d3-46f9-4dc7-bf6e-ac526b8d8441 · outbound

This paper cites ETSformer: Exponential Smoothing Transformers for Time-series Forecasting.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:31.407441Z

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Observation 74307d1d-0b6b-48ca-bce2-cd913b5b0570 · outbound

This paper cites Crossformer: Transformer Utilizing Cross- Dimension Dependency for Multivariate Time Series Forecasting,.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN Crossformer: Transformer Utilizing Cross- Dimension Dependency for Multivariate Time Series Forecasting,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:31.485547Z

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Observation 0a28a186-fdcb-44ee-bb1f-34b87798de49 · outbound

This paper cites iTrans- former: Inverted Transformers Are Effective for Time Series Forecasting,.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN iTrans- former: Inverted Transformers Are Effective for Time Series Forecasting,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:31.555660Z

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Observation 92875ebc-5cbb-44ac-b8cb-baf19021abb0 · outbound

This paper cites Transformers in Time Series: A Survey,.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN Transformers in Time Series: A Survey,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:31.740701Z

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Observation 536c4ba2-a4d8-43d6-bd86-7d0d735558e7 · outbound

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

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN Efficiently Modeling Long Sequences with Structured State Spaces,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:31.969152Z

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Unavailable: canonical work link unavailable.

Observation 44000982-db15-48db-8ab2-08505514f69a · outbound

This paper cites It’s Raw! Audio Generation with State-Space Models,.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN It’s Raw! Audio Generation with State-Space Models,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:32.110592Z

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Observation e5cd7f7f-2c94-448a-9b37-b2fad641dc99 · outbound

This paper cites On the Parameterization and Initialization of Diagonal State Space Models.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN On the Parameterization and Initialization of Diagonal State Space Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:32.289193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1935db8a-b2e8-4602-a2e0-390aba4c24d8 · outbound

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

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN Diagonal State Spaces are as Effective as Structured State Spaces,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:32.429894Z

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Observation d9594bbe-0a49-4c2d-be7a-ac0a03fbf141 · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN Simplified State Space Layers for Sequence Modeling

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:32.510196Z

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Observation 0b72a891-a3d7-4ead-a1fb-efcace071b4e · outbound

This paper cites How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:32.615213Z

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Observation 7300835c-8941-4897-85f8-cfcc08646b0f · outbound

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

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN HiPPO: Recurrent Memory with Optimal Polynomial Projections

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:32.699566Z

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Observation 91bce974-660b-4b05-a4e5-85bb5158ee6c · outbound

This paper cites MobileNetV2: Inverted Residuals and Linear Bottlenecks.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN MobileNetV2: Inverted Residuals and Linear Bottlenecks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:32.790388Z

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Observation 9f006ec0-b2dd-4540-b75d-0772cd41d008 · outbound

This paper cites Squeeze-and-Excitation Networks.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN Squeeze-and-Excitation Networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:32.866404Z

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Unavailable: canonical work link unavailable.

Observation 26a7c598-1155-47f6-aa9c-55dbb263f273 · outbound

This paper cites Language Modeling with Gated Convolutional Networks,.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN Language Modeling with Gated Convolutional Networks,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:32.896162Z

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Observation 266295da-3181-439f-b18c-e3c370e4b466 · outbound

This paper cites Exploring Adversarial Robustness of Deep State Space Models,.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN Exploring Adversarial Robustness of Deep State Space Models,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:32.990513Z

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Observation 08d5f35b-e5e4-41b8-8917-d155fc8682a7 · outbound

This paper cites P-SpikeSSM: Harnessing Probabilistic Spiking State Space Models for Long-Range Dependency Tasks.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN P-SpikeSSM: Harnessing Probabilistic Spiking State Space Models for Long-Range Dependency Tasks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:33.440578Z

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Observation 7f2f29b0-779b-4e00-8c69-a03473b77d1d · outbound

This paper cites An Introduction to Models Based on Laguerre, Kautz and Other Related Orthonormal Functions – Part II: Non-linear Models,.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN An Introduction to Models Based on Laguerre, Kautz and Other Related Orthonormal Functions – Part II: Non-linear Models,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:33.771423Z

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Observation 3d86fa93-a808-4194-be48-e411039b1538 · outbound

This paper cites Learning Low-Dimensional Representation for O-RAN Testing via Transformer- ESN,.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN Learning Low-Dimensional Representation for O-RAN Testing via Transformer- ESN,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:33.897897Z

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Observation fc5e7285-d5b6-4b3b-87ae-3ac09edfb49c · outbound

This paper cites O-RAN End-to-End Test Specification,.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN O-RAN End-to-End Test Specification,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:33.993130Z

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Observation d918f2fd-4185-4c6b-b802-9c6e880418a2 · outbound

This paper cites What Can We Learn from State Space Models for Machine Learning on Graphs?.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN What Can We Learn from State Space Models for Machine Learning on Graphs?

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:33.648056Z

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Observation 0c3523da-0f8a-4a92-9f5c-f8938b735b60 · outbound

This paper cites An Experimental Reservoir-Augmented Foundation Model: 6G O-RAN Case Study.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN An Experimental Reservoir-Augmented Foundation Model: 6G O-RAN Case Study

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:34.129701Z

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Observation 53592f47-6db8-41fc-97de-64ee84dc41e3 · outbound

This paper cites Available: https://www.sciencedirect.com/science/article/ pii/S0169207021000637.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN Available: https://www.sciencedirect.com/science/article/ pii/S0169207021000637

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:31.294841Z

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Observation 5ab1f64d-9577-48bf-877e-8df2a500ff11 · outbound

This paper cites Available: https://openreview.net/forum?id=JePfAI8fah.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN Available: https://openreview.net/forum?id=JePfAI8fah

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:31.679618Z

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Observation 391070d1-0504-46a6-8658-d2ffae983f5a · outbound

This paper cites Emergence of the Primacy Effect in Structured State-Space Models.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN Emergence of the Primacy Effect in Structured State-Space Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:33.350030Z

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Pith citing papers

Observation 96f1feb1-b1c0-4823-afb7-5a84e308e25c · inbound

A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks cites this paper.

A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-09T03:07:04.748943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 952e02b8-e083-4302-beb6-8d462dd3687c · inbound

Agentic World Modeling for 6G: Near-Real-Time Generative State-Space Reasoning cites this paper.

Agentic World Modeling for 6G: Near-Real-Time Generative State-Space Reasoning Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T00:10:23.222833Z

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Observation dc0a8e59-961a-428b-81e8-662d20d1fe25 · inbound

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G cites this paper.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T09:51:17.616091Z

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Unavailable: canonical work link unavailable.