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Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2601.12375.

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

pith.paper-citation-record.v1
2601.12375 v3

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measured 46 of 46 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-03T09:51:21.898585Z

measured 46 of 46 standing notices

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

measured 0 of 0 inbound itemization

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46 of 46 outbound references displayed

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Outbound references

Observation afa5b57a-a9df-46eb-bbd7-4361d7088276 · outbound

This paper cites Ultra-Low-Latency Edge Inference for Distributed Sensing,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Ultra-Low-Latency Edge Inference for Distributed Sensing,

Reference 1

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Observation 618eeb53-1e9a-4dae-9a7e-cd9f0c84b3f2 · outbound

This paper cites Open RAN for 6G Networks: Architecture, Use Cases and Open Issues,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Open RAN for 6G Networks: Architecture, Use Cases and Open Issues,

Reference 2

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Observation 76c28e4d-f22b-4d64-a2bf-67eb3f4982fb · outbound

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

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Informer: Beyond Efficient Transformer for Long Se- quence Time-Series Forecasting,

Reference 3

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Observation d1668d15-fb06-47a9-8e36-411387f4db1e · outbound

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

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G FEDformer: Frequency Enhanced Decomposed Trans- former for Long-term Series Forecasting,

Reference 4

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Observation 730d0d90-5b94-4f71-91bf-48635452cb57 · outbound

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

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 5

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Observation 44b1e077-d5d2-46e9-8459-34a3aa1d63c6 · outbound

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

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G A Time Series is Worth 64 Words: Long-term Forecasting with Transformers,

Reference 6

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Observation b1ec3f83-3a02-4bdd-a293-7e9890fafc6f · outbound

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

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Crossformer: Transformer Utilizing Cross- Dimension Dependency for Multivariate Time Series Forecasting,

Reference 7

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Observation 1b18cb9a-1255-403a-85a9-cd1d265fd990 · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G RWKV: Reinventing RNNs for the Transformer Era

Reference 8

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Observation c2ab398e-bb50-4774-a41b-259d3b2ffef6 · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Retentive Network: A Successor to Transformer for Large Language Models

Reference 9

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Observation 48780b3f-aa7e-45fe-9743-e7e333d3f614 · outbound

This paper cites Chronos: Learning the Language of Time Series,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Chronos: Learning the Language of Time Series,

Reference 10

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

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

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

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Observation dce4948f-3367-4c2a-aac6-961abb279744 · outbound

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

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Agentic World Modeling for 6G: Near-Real-Time Generative State-Space Reasoning

Reference 12

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Observation f66d9ef4-7728-45e1-920a-851b9d771c5a · outbound

This paper cites Simplified State Space Layers for Sequence Modeling,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Simplified State Space Layers for Sequence Modeling,

Reference 13

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Observation ae2a4737-fdf8-4184-9b39-7688d1353013 · outbound

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

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G HiPPO: Recurrent Memory with Optimal Polynomial Projections,

Reference 14

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Observation a69e3873-62b4-4abd-905f-1a02c2896260 · outbound

This paper cites Matrix Product State Pre-Training for Quantum Machine Learning,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Matrix Product State Pre-Training for Quantum Machine Learning,

Reference 15

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Observation bf368b6b-8be3-4b5b-8c93-2520ce073ed0 · outbound

This paper cites Quantum computing and neuroscience for 6G/7G networks: Survey,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Quantum computing and neuroscience for 6G/7G networks: Survey,

Reference 16

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Observation d7e51cd8-73f2-4769-bf3a-d3ca798974a9 · outbound

This paper cites Tasaki,Physics and Mathematics of Quantum Many-Body Systems, 1st ed., ser.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Tasaki,Physics and Mathematics of Quantum Many-Body Systems, 1st ed., ser

Reference 17

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Observation dc3bbd70-afa0-4a04-b5ea-355420224356 · outbound

This paper cites Modeling Sequences with Quantum States: A Look Under the Hood,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Modeling Sequences with Quantum States: A Look Under the Hood,

Reference 18

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Observation 2c83f4e1-788b-4ed3-a168-b57d74672825 · outbound

This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G iTransformer: Inverted Transformers Are Effective for Time Series Forecasting,

Reference 19

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Observation c5d39757-274b-4a36-b3d5-bab5baa24d7f · outbound

This paper cites Rethinking Attention with Performers,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Rethinking Attention with Performers,

Reference 20

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Observation b8e0299e-f765-4ade-bfd5-715b09d826e9 · outbound

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

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections,

Reference 21

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Observation 1562c6fe-8e73-4f86-b5d4-47c6637d7c11 · outbound

This paper cites Matrix Product Operators for Sequence-to-Sequence Learning,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Matrix Product Operators for Sequence-to-Sequence Learning,

Reference 22

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Observation 9988b6db-74f7-4253-a351-b9a1041e470f · outbound

This paper cites Time-dependent Density Matrix Renormalization Group Method for Quantum Dynamics in Complex Systems,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Time-dependent Density Matrix Renormalization Group Method for Quantum Dynamics in Complex Systems,

Reference 23

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Observation 4a8e8fc8-d7d6-4936-9849-6000327d3b32 · outbound

This paper cites Continuous Frames in Tensor Product Hilbert Spaces, Localization Operators and Density Operators,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Continuous Frames in Tensor Product Hilbert Spaces, Localization Operators and Density Operators,

Reference 24

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Observation aa1aea31-41dc-45a3-aab1-1d43d69f13ba · outbound

This paper cites Information Theory With Kernel Methods,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Information Theory With Kernel Methods,

Reference 25

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Observation 23ce0680-9d39-48b2-8c10-f3583442cdf5 · outbound

This paper cites Quantum MAC: Genuine Entanglement Access Control via Many-Body Dicke States,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Quantum MAC: Genuine Entanglement Access Control via Many-Body Dicke States,

Reference 26

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Observation b3693791-b74e-462f-be1d-1725e3e2cabb · outbound

This paper cites Highly Parallel Singular Value Decomposition for Low-Latency MIMO Processing,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Highly Parallel Singular Value Decomposition for Low-Latency MIMO Processing,

Reference 27

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Observation f1c1fd8e-89f0-4ff4-a2b7-8b434d32b43a · outbound

This paper cites On properties of Schmidt Decomposition.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G On properties of Schmidt Decomposition

Reference 28

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Observation 37e333ad-7455-4cab-95fc-f6718a9930ab · outbound

This paper cites Entanglement Entropy and Quantum Field Theory,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Entanglement Entropy and Quantum Field Theory,

Reference 29

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Observation d98f3ae6-b520-4605-98b9-f37bc4a4510d · outbound

This paper cites Area-law Entanglement from Quantum Geometry,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Area-law Entanglement from Quantum Geometry,

Reference 30

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Observation e70b82b3-b97c-44be-b63f-f7cc9364a793 · outbound

This paper cites Efficient Tensor Robust PCA Under Hybrid Model of Tucker and Tensor Train,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Efficient Tensor Robust PCA Under Hybrid Model of Tucker and Tensor Train,

Reference 31

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Observation 95c07a63-8ca9-45c6-bb83-d847e1f8c675 · outbound

This paper cites Tensorizing Neural Networks,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Tensorizing Neural Networks,

Reference 32

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Observation bd5bcd92-9918-41be-b853-daa9f230096b · outbound

This paper cites (2023) O-RAN Architecture Overview.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G (2023) O-RAN Architecture Overview

Reference 33

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Observation 413baeaf-bb18-4cde-a4af-700538777101 · outbound

This paper cites ETSI TS 104 040 V4.0.0: Publicly Available Specification (PAS); E2 interface: RAN Function-specific Service Models (O-RAN E2SMs),.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G ETSI TS 104 040 V4.0.0: Publicly Available Specification (PAS); E2 interface: RAN Function-specific Service Models (O-RAN E2SMs),

Reference 34

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Observation ed52e25d-1930-4c2b-8978-f835ac38af02 · outbound

This paper cites RIC-O: Efficient Placement of a Disaggregated and Distributed RAN Intelligent Controller with Dynamic Clustering of Radio Nodes,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G RIC-O: Efficient Placement of a Disaggregated and Distributed RAN Intelligent Controller with Dynamic Clustering of Radio Nodes,

Reference 35

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Observation 22e42180-ec31-4206-9334-dafaf4f5ac35 · outbound

This paper cites Deep Learning for Time Series Forecasting: Tutorial and Survey,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Deep Learning for Time Series Forecasting: Tutorial and Survey,

Reference 36

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Observation 4e514e04-9237-4535-bf29-c6022ed45e99 · outbound

This paper cites DeepAR: Probabilistic forecasting with autoregressive recurrent networks,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G DeepAR: Probabilistic forecasting with autoregressive recurrent networks,

Reference 37

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Observation 58a4a364-f791-4cd0-888b-0bceda65c5b6 · outbound

This paper cites an unresolved cited work.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Unresolved cited work

Reference 38

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Observation 2c197b0c-55d2-4173-89ed-505bfd370479 · outbound

This paper cites Attention Is All You Need,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Attention Is All You Need,

Reference 39

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Observation 805126fa-dc9d-4356-91b6-743eb8c8b106 · outbound

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

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Learning Low-Dimensional Representation for O-RAN Testing via Transformer- ESN,

Reference 40

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Observation 66d47972-c0eb-425d-8115-23cdd3a8557a · outbound

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

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G An Experimental Reservoir-Augmented Foundation Model: 6G O-RAN Case Study

Reference 41

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Observation 53ee2b9c-dac6-4779-b8dc-27148d0077bb · outbound

This paper cites [Online].

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G [Online]

Reference 42

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no resolver link, observed 2026-08-03T09:51:21.287141Z

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source=pdf_text observed=2026-08-03T09:51:21.287141Z digest=sha256:7cf428cc467f6c918b52dd63a44d78e06b4427b6f77e46ad1b6d49d9244a61ef

Observation 5a0a74a0-2cda-4870-b2ff-d0e916cc579c · outbound

This paper cites [Online].

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G [Online]

Reference 43

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source=pdf_text observed=2026-08-03T09:51:21.372394Z digest=sha256:f5f3651ab5fadf34271511e5ee34bf5746f4148a69ff12f238d2b6a8d7fff92f

Observation 5eeb837c-33b5-43c7-bc2b-d0aae45ed5d8 · outbound

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

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Temporal Fusion Transformers for Interpretable Multi- horizon Time Series Forecasting,

Reference 44

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Observation b2eadd93-1879-489f-a298-ddc38a504556 · outbound

This paper cites Another Look at Forecast Accuracy Metrics for Intermittent Demand,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Another Look at Forecast Accuracy Metrics for Intermittent Demand,

Reference 45

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source=pdf_text observed=2026-08-03T09:51:21.637573Z digest=sha256:d67f233e03794cad6654368115706018c8d58fe0f92e66e4ea660d80d00cd793

Observation c69c11c6-28a1-44d7-b665-86a76bb8396c · outbound

This paper cites Skill Scores Based on the Mean Square Error and Their Relationships to the Correlation Coefficient,.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G Skill Scores Based on the Mean Square Error and Their Relationships to the Correlation Coefficient,

Reference 46

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Pith citing papers

No inbound Pith citation observations are available.