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Paper Citation Record · LEDGER

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization

As of 19 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 2 inbound Pith citation observations for arXiv:2507.08403.

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

pith.paper-citation-record.v1
2507.08403 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:24:54.352187Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:03:58.856469Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:57:26.121574Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy30
  • unresolved3
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 08561848-d949-48fc-bbd4-115d882f4f4f · outbound

This paper cites Architecture enhancements for 5G System (5GS) to support network data analytics services,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Architecture enhancements for 5G System (5GS) to support network data analytics services,

Reference 1

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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.

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Observation 63761b84-90f7-446d-8495-32e6f6afbfdc · outbound

This paper cites Management and orchestration; Artificial Intelli- gence/ Machine Learning (AI/ML) management,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Management and orchestration; Artificial Intelli- gence/ Machine Learning (AI/ML) management,

Reference 2

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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.

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Observation 4e72ac1b-f790-4a3a-9ca7-4726dcb441a1 · outbound

This paper cites Architecture enhancements for 5G System (5GS) to support network data analytics services,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Architecture enhancements for 5G System (5GS) to support network data analytics services,

Reference 3

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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.

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Observation bd1ed255-936f-4728-976c-af0bcfc5634d · outbound

This paper cites Study on enhancement for data collection for NR and ENDC,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Study on enhancement for data collection for NR and ENDC,

Reference 4

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raw_fallback, observed 2026-08-06T18:24:56.974874Z

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.

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Observation 5bc4796d-8699-435e-8723-37042d812fa8 · outbound

This paper cites Study on Artificial Intelligence (AI)/Machine Learning (ML) for NR air interface,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Study on Artificial Intelligence (AI)/Machine Learning (ML) for NR air interface,

Reference 5

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raw_fallback, observed 2026-08-06T18:24:56.849911Z

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.

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Observation a48aae47-b987-4b44-a096-d82e26b082a1 · outbound

This paper cites Study on Artificial Intelligence (AI)/Machine Learning (ML) for mobility in NR,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Study on Artificial Intelligence (AI)/Machine Learning (ML) for mobility in NR,

Reference 6

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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.

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Observation a94caab2-968e-4ed5-9f8e-69a15c427932 · outbound

This paper cites Framework and overall objectives of the future development of IMT for 2030 and beyond,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Framework and overall objectives of the future development of IMT for 2030 and beyond,

Reference 7

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raw_fallback, observed 2026-08-06T18:24:56.712836Z

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=2026-08-06T18:24:52.712853Z digest=sha256:cc4abb35140bb1ec837c2f3f3b59f2d18429be85a4c7713cc89ff0bc0dee1111

Observation 8beb6198-2afe-4c4e-ab03-053f406bdcfd · outbound

This paper cites Toward Native Artificial Intelligence in 6G Networks: System Design, Architectures, and Paradigms.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Toward Native Artificial Intelligence in 6G Networks: System Design, Architectures, and Paradigms

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:24:52.768914Z digest=sha256:66307db19452279d7d6f6a26b8ba7c456ab211cde816f1a31ccb18b1b8dbd675

Observation 098121c5-b14d-494f-b18d-bc84423b89d9 · outbound

This paper cites Defining ai native: A key enabler for advanced intelligent telecom networks,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Defining ai native: A key enabler for advanced intelligent telecom networks,

Reference 9

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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.

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Observation 573bda16-a483-4eef-a5e8-485c7f77e42d · outbound

This paper cites Toward a 6g ai-native air interface,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Toward a 6g ai-native air interface,

Reference 10

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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.

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Observation 64fe1d44-574c-4d12-bffb-1bc478b2cf05 · outbound

This paper cites Overview of AI/ML related Work in 3GPP.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Overview of AI/ML related Work in 3GPP

Reference 11

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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.

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Observation cdce1a00-26d9-4c14-b5e1-b2d83863c3ff · outbound

This paper cites AI-RAN: Transforming RAN with AI-driven Computing Infrastructure.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization AI-RAN: Transforming RAN with AI-driven Computing Infrastructure

Reference 12

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no resolver link, observed 2026-08-06T18:24:52.947286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7e93ae7b-252e-4e30-9447-8b6192bbf367 · outbound

This paper cites Intelligent ran automation for 5g and beyond,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Intelligent ran automation for 5g and beyond,

Reference 13

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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=2026-08-06T18:24:52.981077Z digest=sha256:e94135b9b44f373e0ebd559aa2bda570747b6d55c6d30329211fa3f9bada049c

Observation eb84c0bc-706a-4b55-8c34-111ffbd49b1e · outbound

This paper cites Rethinking ran architecture for deep fusion of ai and communication in 6g,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Rethinking ran architecture for deep fusion of ai and communication in 6g,

Reference 14

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raw_fallback, observed 2026-08-06T18:24:56.319640Z

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.

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Observation 52f8abd6-6847-44ea-bcc3-beb569557197 · outbound

This paper cites 5G System (5GS); Study on traffic characteristics and performance requirements for AI/ML model trans- fer,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization 5G System (5GS); Study on traffic characteristics and performance requirements for AI/ML model trans- fer,

Reference 15

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raw_fallback, observed 2026-08-06T18:24:56.258407Z

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.

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Observation b84601bc-c216-487f-9a33-32d7ddbb9cb8 · outbound

This paper cites System architecture for the 5G System (5GS),.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization System architecture for the 5G System (5GS),

Reference 16

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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 26ff563e-056e-4067-9a76-aa66c0babd18 · outbound

This paper cites Data Collection and Reporting; General De- scription and Architecture,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Data Collection and Reporting; General De- scription and Architecture,

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 0575a2b3-d381-4ce5-8ca0-5edb2382d003 · outbound

This paper cites Study on Artificial Intelligence and Machine learning in 5G media services,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Study on Artificial Intelligence and Machine learning in 5G media services,

Reference 18

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

source=pdf_text observed=2026-08-06T18:24:53.302104Z digest=sha256:d38a06303443c09a9a30739047eb98a16a2b7c095d7c20db6dddf652d90fba9f

Observation 9d7bbd27-248c-4be8-902e-0b8e1e650cf1 · outbound

This paper cites Study on 3GPP AI/ML Consistency Alignment,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Study on 3GPP AI/ML Consistency Alignment,

Reference 19

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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 f4bc427f-7b81-4b5d-888f-a5d550b05c3c · outbound

This paper cites O-RAN Architecture Description,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization O-RAN Architecture Description,

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 9fc59d4f-5ef8-4843-8420-96fd947a7afa · outbound

This paper cites O-RAN Non-RT RIC: Architecture,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization O-RAN Non-RT RIC: Architecture,

Reference 21

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raw_fallback, observed 2026-08-06T18:24:55.617631Z

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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 5d5aa6ae-ec98-49e1-85a9-d0b45d812ef3 · outbound

This paper cites O-RAN Near-RT RIC Architecture,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization O-RAN Near-RT RIC Architecture,

Reference 22

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raw_fallback, observed 2026-08-06T18:24:55.465370Z

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.

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Observation 4dcf5d89-b3d4-4406-888b-db540b390921 · outbound

This paper cites O-RAN Use Cases and Require- ments,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization O-RAN Use Cases and Require- ments,

Reference 23

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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 d9ee7f06-2bfc-461d-b6c9-2cd705a78764 · outbound

This paper cites Architectural framework for machine learning in future networks including IMT-2020,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Architectural framework for machine learning in future networks including IMT-2020,

Reference 24

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

source=pdf_text observed=2026-08-06T18:24:53.637058Z digest=sha256:1a4c99d4320f4ad231240e7f91809c4c6b09df3c2fba42b84fadb07b1e2f0e0e

Observation b6a7f050-87aa-47e1-a67a-f16fba2e8da8 · outbound

This paper cites Autonomous networks - Architecture frame- work,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Autonomous networks - Architecture frame- work,

Reference 25

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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=2026-08-06T18:24:53.691584Z digest=sha256:9d944d4575274ca2e266cfaf337ba8ff76d074d553a75ab485e59313f4d59037

Observation b58d8cf2-4dd0-4a4d-bc41-981eaa49bdf6 · outbound

This paper cites Experiential Networked Intelligence (ENI); ENI requirements,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Experiential Networked Intelligence (ENI); ENI requirements,

Reference 26

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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=2026-08-06T18:24:53.782437Z digest=sha256:5357c6ff25c6fa26e2de719afc984c9536e3ada3ca218e469a12aa4ecddc0229

Observation 4774cd83-2b46-4f0e-89ee-ea331a398e91 · outbound

This paper cites Zero-touch network and Service Management (ZSM); Reference Architecture,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Zero-touch network and Service Management (ZSM); Reference Architecture,

Reference 27

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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=2026-08-06T18:24:53.841580Z digest=sha256:b7efce0094e5f4d1fffd7a18af7e5f5d6eddd5a5a767e48219549a69cba7d33c

Observation 6e8b5539-60f2-4f9d-97f7-db49a94fecd9 · outbound

This paper cites CMCC’s views on 6G RAN study,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization CMCC’s views on 6G RAN study,

Reference 28

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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=2026-08-06T18:24:53.965468Z digest=sha256:2d20d75bf59b4aa5168020ce906296d44de30d21f069ff202e0e5252669f9cc3

Observation 81816143-b544-44c2-8bab-5d05199517b7 · outbound

This paper cites A unified data collection framework based on the data plane for 6G.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization A unified data collection framework based on the data plane for 6G

Reference 29

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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=2026-08-06T18:24:54.041079Z digest=sha256:9487b688c75d48de5f70053a0e13a5fdd3b7e74f9f079a99d91e9256b8032fd4

Observation e31020ec-c357-4b3e-ad3e-51d397a910e5 · outbound

This paper cites Mobile edge intelligence for large language models: A contemporary survey,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Mobile edge intelligence for large language models: A contemporary survey,

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:24:54.128449Z digest=sha256:1c3bd596ef7fc7449e57a8e74d6f4857f99d18e13797d8c8f7d7b9fa3b032df1

Observation c6a69024-8b64-4d21-8709-1af1f3f80985 · outbound

This paper cites Joint communication and computing resource optimiza- tion for collaborative ai inference in mobile networks,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Joint communication and computing resource optimiza- tion for collaborative ai inference in mobile networks,

Reference 31

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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=2026-08-06T18:24:54.206818Z digest=sha256:cf6474d6b66aa8bb6bee3b4158f94db693e9d2f9f899862911b9c6696312928b

Observation d41f2867-9530-4190-866f-c468e02373e8 · outbound

This paper cites Common API Framework for 3GPP Northbound APIs,.

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Common API Framework for 3GPP Northbound APIs,

Reference 32

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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=2026-08-06T18:24:54.283946Z digest=sha256:884d52f55b8ff9892c7aedd5e85d8ee69fbea1d0bfa9e858ecf7265d3e4de84c

Observation 2b967fc3-bc6a-4b61-89ad-27be5fce0bf3 · outbound

This paper cites Focus Group on Artificial Intelligence Native for Telecommunication Networks (FG AINN).

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization Focus Group on Artificial Intelligence Native for Telecommunication Networks (FG AINN)

Reference 33

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raw_fallback, observed 2026-08-06T18:24:54.565716Z

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=2026-08-06T18:24:54.352187Z digest=sha256:dd316f096f59e29555561f2b5464c4cda6e17c0ba96ea93f4f2db61bb26cd5f7

Pith citing papers

Observation 8e37f824-3122-4572-a1cd-7940311692a8 · inbound

AI-Native Closed-Loop Security for 6G-Enabled Cyber-Physical Systems: From Edge Detection to Network-Wide Mitigation cites this paper.

AI-Native Closed-Loop Security for 6G-Enabled Cyber-Physical Systems: From Edge Detection to Network-Wide Mitigation Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:57:26.122958Z

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=2026-06-27T19:21:46.661636Z digest=sha256:d11e9cfad76b17e2375ed720893a03371228f22ba4a865c50921e3071c51ce38

Observation e297db25-cbfe-4c05-a5e6-0c913683134d · inbound

Test-Time Scalable AI-RAN: Inference Time Allocation for Cell-Free MIMO cites this paper.

Test-Time Scalable AI-RAN: Inference Time Allocation for Cell-Free MIMO Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-05T16:03:58.856469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:03:58.856469Z digest=sha256:aa6c334ff3cf5a621a2f2f20b583cac69a469dc2a8195170a818180ffc811523