Pith. sign in

Paper Citation Record · LEDGER

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

As of 7 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

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

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

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved46
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:16.739235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:16.739235Z digest=sha256:12200c70d1c061c56d6191f9d052eb92acdd4d1fd66aa435ccff0a07abbc7acb

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:16.794047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:16.794047Z digest=sha256:c8255e5d70357f65433e6d22633881da3522e3d4f3ab3f27f419094402c358ef

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:16.892156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:16.892156Z digest=sha256:3b80d79bfe5cc9a4f9d0e5e2e055d25dfb3df141d2ac45652dfe187578100313

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:17.005299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:17.005299Z digest=sha256:e712fc70e6bf43b2f67ef9f1258c50be0ca65ea87cbc1b1dfcbabd50a1a9f192

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:17.077434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:17.077434Z digest=sha256:d3f699427c384701689848845b83a8d7ee4c4eb46819595416f3181f48d56610

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:17.142180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:17.142180Z digest=sha256:f9ae0dce0243c604aa80a07e8c40b7596bcced93406ad45077507ac3a9fb6759

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:17.222290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:17.222290Z digest=sha256:f4f7f9ff7bbfabe36c22119ce13330d685e07ecd0f603821b888c91a90621fa5

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:17.361684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:17.361684Z digest=sha256:6e51cf3841c04bbbb04e3fe0e12d935f5ecc90921e431b0e17db5eceee668fb2

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:17.454121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:17.454121Z digest=sha256:ea74d27ac87d6652d806409007a959b1c2c584345562fbeb01ecfbdce2055c9f

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:17.534434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:17.534434Z digest=sha256:f4d68e5068d06c5a3b377b79e61f0fb805a89aea3107eb80b8678c19f5786317

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:17.616091Z digest=sha256:b84b3627432d3dc49afd9a44fa1b1285bcc9a0590e7373e6f8a748e8eba866fe

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:17.661480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:17.661480Z digest=sha256:29e81531663d93b0acd8bbb7a680abf89a6d4c44df69bf511d7c3c539d352ef7

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:17.746362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:17.746362Z digest=sha256:be77b61cdd7c69ba8c9a1a960b730f7df82a798e035d97e4ae1ed499abf41f41

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:17.825213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:17.825213Z digest=sha256:1378cf4b339b1f94fb0fd6f6a4d3c9955521add07698eee32abb6b7e931a85b4

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:17.985546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:17.985546Z digest=sha256:530371cd34f5ae91fa3aca31b0f00d7860608ddbd70440926753bd11be231284

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:18.109450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:18.109450Z digest=sha256:a0b60bb1029b3658b675bb4b8d89a56804dfba28b6d584919fd68521fb19c153

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:18.193099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:18.193099Z digest=sha256:568401f2adcf22a10eb1d3c1c883c6bd7af93869f263dd49bbbf6cadf9db6136

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:18.333996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:18.333996Z digest=sha256:0f777c8dddf65acd18c2245998f073180a857db460da3d78bf82f3c96e4583a1

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:18.441711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:18.441711Z digest=sha256:6069882bda10ce1a1bd35a0145890abe4b42f5ae72c838865405ca24044c2a2c

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:18.544862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:18.544862Z digest=sha256:4e542eb3750e003435003a31dbd23544241a07e34f4720aea7ff7ddaf64f5d2b

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:18.593960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:18.593960Z digest=sha256:6f7d24273e78d7512463cba215163652e97a84c5502fb9e3c90efbe9897a9978

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:18.714696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:18.714696Z digest=sha256:2be81c3418832a9b2962eaacb08f3363924e3298f44a64c30299d1ab56511129

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:18.909531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:18.909531Z digest=sha256:924521bca305feece81f57059e5a0f93187ca6a65559237661abee0a4b9f3718

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:19.047407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:19.047407Z digest=sha256:d1a3a2f957855e344180e1380df7f6c0b282b94883e76bf0836e351f02594640

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:19.212538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:19.212538Z digest=sha256:d0bb6d69e713d81d6606212377685e2dc5065cf03c5655337aa3365241727cf9

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:19.322048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:19.322048Z digest=sha256:7b4b48bb15f7b25173f30ee532a2f657832023c227108c8be45f8161d41682e2

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:19.439928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:19.439928Z digest=sha256:de277004e49a3fc6ab06f53197ac95e0685c7516defff7b0468ce8d2ac31ad7f

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:19.575192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:19.575192Z digest=sha256:1aebcec305ada488e0f86b95221fedb78c15af8bb5e5118c8bb545ec4f5dc0ab

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:19.754583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:19.754583Z digest=sha256:479e91aa9f23db52d22c768f776bde39e755f9eb7d105f460b6428b11a042d10

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:19.919028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:19.919028Z digest=sha256:eddddbb50ddccf2bf28e755118390471796abc79398077f9f52b74c0b4c20bf3

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:20.031994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:20.031994Z digest=sha256:564b22485329850e0dcdc2c70ed7fa4ad5b59d03a83716f579c146460df6dcb0

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:20.093408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:20.093408Z digest=sha256:9113caedb74853e663bab210850ee4847cca00442b55da8439e112969aed62cd

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:20.238192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:20.238192Z digest=sha256:9a92d6011adefc1ebc0e7de60670cdcdb73c7a428ec1a617c650799854159e81

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:20.362362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:20.362362Z digest=sha256:d99ad17ce2c2955f5b6c17482e2e74fbffc26cd19d16ef060bc1f3e9100e6d6b

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:20.446314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:20.446314Z digest=sha256:ac8bfe4ab527dce229b9364765abe42ae1ec91571d98e8bbb9ccd3580371609a

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:20.554491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:20.554491Z digest=sha256:500df0207a68a6051235027acea182477d01bbf6617a2cbdf383f3a5528672ae

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:20.669050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:20.669050Z digest=sha256:29d23465ddf13df5d7274be441a7129e10b3a317b87a3c09eecdb16f1bde522c

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:20.796780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:20.796780Z digest=sha256:6144666774e0344ca233b5f8ed8797982662b7fecf2e8a586f97e40b2d915489

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:20.920914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:20.920914Z digest=sha256:1e9e5e9c8f71338091d0f4814341ca1bd27f64d20f0eafa3f8dbeb6c8a1f48ad

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:21.046770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:21.046770Z digest=sha256:be482f8a549736f6ad40f4074515e128b3028cba66424409427d648071e7846b

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:21.171066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:21.171066Z digest=sha256:9e47de43cdb849b78bd2192032c7a3de957456d1e151d723a04477ab349859c1

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:21.287141Z digest=sha256:77f6d75671388691eeab2f58279e790f556cdd76b97a96897940ddbcd1b734e0

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:21.372394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:21.372394Z digest=sha256:bb2615cfb001cd0c937f5876d1bff95c86a8df35dc98ba9afea95487499ac797

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:21.453241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:21.453241Z digest=sha256:0223b1c2d7cbec6ae053a35473f057b88f914e8505e60b8243351835f766ad55

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:21.637573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:21.637573Z digest=sha256:2b0ad4587ffd1d253eb5107cd78829acb10d60341b27665f94496da87f118558

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

Resolution
unresolved
no resolver link, observed 2026-08-03T09:51:21.898585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:51:21.898585Z digest=sha256:024560604183f18289df48fd7ff0380d47db47bd0d6b83207c0f8b3c7f8356b7

Pith citing papers

No inbound Pith citation observations are available.