Pith. sign in

Paper Citation Record · LEDGER

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 2 inbound Pith citation observations for arXiv:2507.09124.

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

pith.paper-citation-record.v1
2507.09124 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:10:14.991942Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T16:54:58.406395Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T16:57:40.190043Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact1
  • verified fuzzy24
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e4967411-1655-4b03-a016-7ac31325d26b · outbound

This paper cites Under- standing O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Under- standing O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:18.750718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:13.356660Z digest=sha256:62cceff59ddb0ae7bc5e5eef9f36fd1bd85eea99166c634209c6b9e1b449e8bd

Observation 3d55c670-a0ba-4bfb-a6f5-79c232b007c7 · outbound

This paper cites Dynamic AI-Driven Network Slicing with O-RAN for Continuous Connectivity in Connected Vehicles and Onboard Consumer Electronics,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Dynamic AI-Driven Network Slicing with O-RAN for Continuous Connectivity in Connected Vehicles and Onboard Consumer Electronics,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:18.529084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:13.446053Z digest=sha256:e0dd06d1b1465777d02563eba39b85e2619365804659006a8aba0893a2cf507f

Observation bdca2082-8f2f-44c1-accf-8a86967d062d · outbound

This paper cites AI-RAN Alliance Vision and Mission White Paper,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks AI-RAN Alliance Vision and Mission White Paper,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:18.379934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:13.573116Z digest=sha256:9f826b3e8e02356a82bfd83f60ac372db3d579467390fb405f5311bd038e827e

Observation 1a8ba714-59b4-47c0-83cd-58550d08fc92 · outbound

This paper cites Integrating AI/ML in Open-RAN: Overcoming Challenges and Seizing Opportunities,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Integrating AI/ML in Open-RAN: Overcoming Challenges and Seizing Opportunities,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:18.270960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:13.650617Z digest=sha256:87edacad948f19b447de767880f739868d541a89d03be7cbc8f59dc03f0ab379

Observation d0248f8d-71fd-444e-a257-de4044df59ce · outbound

This paper cites The Interplay of AI-and-RAN: Dynamic Resource Allocation for Converged 6G Platform,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks The Interplay of AI-and-RAN: Dynamic Resource Allocation for Converged 6G Platform,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T18:10:13.710575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:10:13.710575Z digest=sha256:f2152e080cf6094228f74dd51c9a149bede216a36cde8908cd6a66493d98733d

Observation 1da8d114-1ee8-4622-939c-5f4aaf8a9335 · outbound

This paper cites Enhancing vehicular networks with hierarchical O-RAN slicing and federated DRL,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Enhancing vehicular networks with hierarchical O-RAN slicing and federated DRL,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:18.127962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:13.774743Z digest=sha256:7768de8d3113cd7c5d4b835486e3b305baaf18936a6dbe0aeb42819057989ef4

Observation 202865f6-eb51-4ef9-a428-ef238911180b · outbound

This paper cites Artificial Intelligence-Defined Wireless Networking for Computational Offloading and Resource Allocation in Edge Computing Networks,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Artificial Intelligence-Defined Wireless Networking for Computational Offloading and Resource Allocation in Edge Computing Networks,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:17.986917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:13.936899Z digest=sha256:faad3de05166078fed4a7d6b2d28dda63b0edf366eafbbeb2181211f070fc7f1

Observation 45a41217-90f0-40b5-895a-91677d9becea · outbound

This paper cites A Distributed Control Plane Architecture for Handover Management in MEC-enabled Vehicular Networks,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks A Distributed Control Plane Architecture for Handover Management in MEC-enabled Vehicular Networks,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:17.806870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:13.985815Z digest=sha256:454bfddf8b6bbaef7791aba5b73766d705688898c3ce99a35416ef5c0662b822

Observation 2ba68d5b-eab5-4f96-9c88-32b992db7b6a · outbound

This paper cites Toward Sustainable O-RAN Deployment: An In- Depth Analysis of Power Consumption,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Toward Sustainable O-RAN Deployment: An In- Depth Analysis of Power Consumption,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:17.697579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:14.100711Z digest=sha256:ed03d169f25528c26e21aabb45ee64af2720edb8d7a0cd32fc7ca8e115c32824

Observation 414154e9-096b-4cad-915e-802172be3e2e · outbound

This paper cites Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RAN.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RAN

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:10:15.163855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:14.222126Z digest=sha256:de333dd1b98b4f1e3dcfdf756e389ccc80f63b7974f44ae45ad3ad31d3528a69

Observation 542fb8de-6b3f-4950-9440-2f5ea2931334 · outbound

This paper cites Adaptive Resource Allo- cation for Virtualized Base Stations in O-RAN with Online Learning,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Adaptive Resource Allo- cation for Virtualized Base Stations in O-RAN with Online Learning,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:17.528853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:14.256632Z digest=sha256:49cdc8bc6b78431c1a836bccd6842fff46cc0cc315d26ee532bc5f0bcf51ad35

Observation 147fabcf-43d6-4369-91fe-e90c50603a69 · outbound

This paper cites Open AI Cellular (OAIC): An Open Source 5G O-RAN Testbed for Design and Testing of AI-Based RAN Management Algorithms,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Open AI Cellular (OAIC): An Open Source 5G O-RAN Testbed for Design and Testing of AI-Based RAN Management Algorithms,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:17.373105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:14.297653Z digest=sha256:a04ebb102f14b4a0cb2591b843caf3fd6b2b8d7a8201ab10284e55881796b10e

Observation ca8830a6-2d98-47dc-872c-99b07ff75f0e · outbound

This paper cites An Open, Programmable, Multi-Vendor 5G O-RAN Testbed with NVIDIA ARC and OpenAirInterface,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks An Open, Programmable, Multi-Vendor 5G O-RAN Testbed with NVIDIA ARC and OpenAirInterface,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:17.211663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:14.339862Z digest=sha256:874e197cdcd09d28f05db4b236ad08cf9b8e100442e75eabe9569953a426c274

Observation b9a966fd-4799-4d8f-abac-4d1932f9663c · outbound

This paper cites The OpenAir- Interface 5G New Radio Implementation: Current Status and Roadmap,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks The OpenAir- Interface 5G New Radio Implementation: Current Status and Roadmap,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:16.964431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:14.366934Z digest=sha256:43a8f3630c2c0b7b909d7f7422a3a711406369894ef47d012600b960b48aaf98

Observation fbf35562-38c9-48a7-b78d-588e00c2d1d4 · outbound

This paper cites ColO- RAN: Developing Machine Learning-Based xApps for Open RAN Closed-Loop Control on Programmable Experimental Platforms,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks ColO- RAN: Developing Machine Learning-Based xApps for Open RAN Closed-Loop Control on Programmable Experimental Platforms,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:16.830759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:14.416134Z digest=sha256:41382bfc40a6d333703ae3074f6bca4889dcd0e5ce66f12d298ca6affbbb3056

Observation d17a6b9e-1d3f-4302-a291-eeb3e4ac1cf0 · outbound

This paper cites Federated Deep Rein- forcement Learning for Resource Allocation in O-RAN Slicing,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Federated Deep Rein- forcement Learning for Resource Allocation in O-RAN Slicing,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:16.731700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:14.459193Z digest=sha256:27e5ffcb869e5cddc46ad60499b8448dfea60f48012b3d732363717e73fb055c

Observation a405807f-cefc-4d9b-a347-7e6a5da703b2 · outbound

This paper cites Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:16.525210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:14.506804Z digest=sha256:56b289fd753efe58fc3e548ccc370d6b8ba41743ec4822d4875d3b275506eca1

Observation 848e6d45-9e0e-43c7-aa5d-5c3800cd64a4 · outbound

This paper cites Delay-Sensitive Resource Allocation for IoT Systems in 5G O-RAN Networks,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Delay-Sensitive Resource Allocation for IoT Systems in 5G O-RAN Networks,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:16.382447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:14.568230Z digest=sha256:3bed366f15ea069bf52347c599274a4b7fbd9eea1934e8823abea5cc7cab209f

Observation c3388bd6-ff0f-4ad8-972f-9bd0debfb16b · outbound

This paper cites Actor-Critic Network for O-RAN Resource Allocation: xApp Design, Deployment, and Analysis,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Actor-Critic Network for O-RAN Resource Allocation: xApp Design, Deployment, and Analysis,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:16.230873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:14.634575Z digest=sha256:82e8ca3c50c8216d496a1c744527f5a694fbf5327b8aabedeed83051fe59aba3

Observation bfb82f91-bb47-4749-a063-5ac91e9f9f72 · outbound

This paper cites REAL: Re- inforcement Learning-Enabled xApps for Experimental Closed-Loop Optimization in O-RAN with OSC RIC and srsRAN,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks REAL: Re- inforcement Learning-Enabled xApps for Experimental Closed-Loop Optimization in O-RAN with OSC RIC and srsRAN,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T18:10:14.677485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:10:14.677485Z digest=sha256:85602e5ccba9f19c68519cb457bcf7f8c027b014a0ea1aa41dc8b4120344d1b7

Observation 05f0fe8d-267d-48d0-a463-8395b4c1ebad · outbound

This paper cites Peer- to-Peer Federated Learning Based Anomaly Detection for Open Radio Access Networks,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Peer- to-Peer Federated Learning Based Anomaly Detection for Open Radio Access Networks,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:16.074552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:14.710761Z digest=sha256:e8f2f9be0736742410e0e357320cf052d26a245f2833790d398a0b61a26f6bea

Observation d1661313-087b-420c-a792-74d0ac533ed7 · outbound

This paper cites Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T18:10:14.749361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:10:14.749361Z digest=sha256:48fbed9afb992e022aa5c5d1bc2e64622f1bc4cd893a577ec996dd9c39e1c6b8

Observation 7f1f057f-a982-41de-9ca8-a0b2147827dc · outbound

This paper cites Federated Learning for Anomaly Detection in Open RAN: Security Architecture Within a Digital Twin,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Federated Learning for Anomaly Detection in Open RAN: Security Architecture Within a Digital Twin,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:15.940489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:14.776975Z digest=sha256:5e9ee69973bc7c29a23d71d2601831a4672994690091a0d9ba9fe7a3f9b03c8c

Observation e11d220f-c788-476a-88c2-c389b8370dc2 · outbound

This paper cites an unresolved cited work.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:10:15.828530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:14.840900Z digest=sha256:8d17ac40b55064b934c43184349345312f979d21735e8e7668cf153e6aedf538

Observation b579960f-7ece-4385-814c-83301681b243 · outbound

This paper cites LLM-xApp: A Large Language Model Empowered Radio Resource Management xApp for 5G O-RAN,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks LLM-xApp: A Large Language Model Empowered Radio Resource Management xApp for 5G O-RAN,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:15.645717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:14.864213Z digest=sha256:a75f3fefebaf915e1f2decbf7fb4bd12754e85a7dfb28bf052a14dd4e03f4b92

Observation eb8d4549-3404-4355-9396-d21927e2005d · outbound

This paper cites NVIDIA Multi-Instance GPU User Guide,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks NVIDIA Multi-Instance GPU User Guide,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:15.536534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:14.887148Z digest=sha256:62f4cbb3b067391d729367b18857e824d0775b946dca0f6ff4aabfae4694ce6c

Observation df3e3e3f-628f-4662-ba94-d285695f49cb · outbound

This paper cites Federated-time-series-forecasting,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Federated-time-series-forecasting,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:15.460289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:14.918561Z digest=sha256:9d07087aa4b4600eeac22a5f53b56b23ee5251c38d65080059f3d2e045a79981

Observation eae5bfc1-2cf7-4ad4-bfec-fe678b407667 · outbound

This paper cites Federated Learning for 5G Base Station Traffic Forecasting,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Federated Learning for 5G Base Station Traffic Forecasting,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:15.380880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:14.948772Z digest=sha256:f459cfeec0df0284cec93c982fd15c9651e438005f9c3045adacf6185b202a4e

Observation cb2b4bdd-2f3c-4b23-aad0-9b03445ec2b4 · outbound

This paper cites How ACK Edge Solves Challenges in Elasticity for LLM Inference Services,.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks How ACK Edge Solves Challenges in Elasticity for LLM Inference Services,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:10:15.307519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:10:14.991942Z digest=sha256:3d96a886048b280d9cf597e4895e56c27490d0a45a1c17ba42f7330c3bafeb8f

Pith citing papers

Observation dc5d22c8-d1d4-4443-924c-dd4de915429e · inbound

A Techno-Economic Framework for Cost Modeling and Revenue Opportunities in Open and Programmable AI-RAN cites this paper.

A Techno-Economic Framework for Cost Modeling and Revenue Opportunities in Open and Programmable AI-RAN Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-14T00:43:32.063962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T00:41:18.795730Z digest=sha256:a0af3cddea28df13ce94429dd12492cf38b9ed3777ae02acf9449bd92667f3c1

Observation 0ad7f3eb-2545-4483-b2ae-525510efbb52 · inbound

A Techno-Economic Framework for Cost Modeling and Revenue Opportunities in Open and Programmable AI-RAN cites this paper.

A Techno-Economic Framework for Cost Modeling and Revenue Opportunities in Open and Programmable AI-RAN Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:57:40.191812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T16:54:58.406395Z digest=sha256:811e36b6037c86f4c6c6a136e4895107185ac74551e5b80381da8683e26d2759