Paper Citation Record · LEDGER

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN

As of 17 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.18111.

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

pith.paper-citation-record.v1
2507.18111 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:44:09.069227Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

44 of 44 outbound references displayed

verified exact1
verified fuzzy36
unresolved4
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b4ffba47-3831-4068-80c2-c7e8e5d418fe · outbound

This paper cites write newline.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T14:44:04.724107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7835e38-4d1f-4c4a-9625-cee7df34c41a · outbound

This paper cites Federated deep reinforcement learning for open ran slicing in 6g networks.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Federated deep reinforcement learning for open ran slicing in 6g networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.799288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 804cdbfa-37a4-43f7-a53c-89dc2fcbe06d · outbound

This paper cites Energy saving and traffic steering use case and testing by o-ran ric xapp/rapp multi-vendor interoperability.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Energy saving and traffic steering use case and testing by o-ran ric xapp/rapp multi-vendor interoperability

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.784565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0aaee55c-71dd-4b81-bfad-4f09dbff082d · outbound

This paper cites A., Ksentini, A., and Bouaziz, M.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN A., Ksentini, A., and Bouaziz, M

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.768496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 21471594-5e8e-49b4-aafe-bf721f932e3a · outbound

This paper cites Scope: An open and softwarized prototyping platform for nextg systems.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Scope: An open and softwarized prototyping platform for nextg systems

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.752806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 331bdcc8-7ffe-4573-9050-cc812c16b3ab · outbound

This paper cites Intelligence and learning in o-ran for data-driven nextg cellular networks.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Intelligence and learning in o-ran for data-driven nextg cellular networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.738945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8e38afd4-7bec-4592-b68f-09e72d817fdc · outbound

This paper cites Colosseum: Large-scale wireless experimentation through hardware-in-the-loop network emulation.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Colosseum: Large-scale wireless experimentation through hardware-in-the-loop network emulation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.725060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dc457f42-d003-40f5-b92f-8da6582521f6 · outbound

This paper cites User access control in open radio access networks: A federated deep reinforcement learning approach.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN User access control in open radio access networks: A federated deep reinforcement learning approach

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.711556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5f680ae8-fa67-493c-84cc-7f55cdaeae6a · outbound

This paper cites Orchestran: Network automation through orchestrated intelligence in the open ran.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Orchestran: Network automation through orchestrated intelligence in the open ran

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.696370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 133fecd6-7d74-445f-822a-fc511572cdac · outbound

This paper cites E., Jemaa, S.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN E., Jemaa, S

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.680517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 825c39b5-6074-48f1-9a65-728721ced8f0 · outbound

This paper cites Radio access network (ran) digital twins.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Radio access network (ran) digital twins

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.665391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 862d8328-2d01-4cfe-83a3-ca6fbc4cd5d6 · outbound

This paper cites Dynamic sdn-based radio access network slicing with deep reinforcement learning for urllc and embb services.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Dynamic sdn-based radio access network slicing with deep reinforcement learning for urllc and embb services

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.650934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5a3496cd-2bd6-4374-80d9-cb8fbd92a003 · outbound

This paper cites Learning based on graph: A joint interference coordination for cluster-wise distributed mu-mimo.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Learning based on graph: A joint interference coordination for cluster-wise distributed mu-mimo

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.635398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 94167ac5-ac74-4010-801a-53230f0592fc · outbound

This paper cites Gan-powered deep distributional reinforcement learning for resource management in network slicing.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Gan-powered deep distributional reinforcement learning for resource management in network slicing

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.616341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7692a33d-b293-4927-8ec3-20e827e85f48 · outbound

This paper cites Personalized cross-silo federated learning on non-iid data.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Personalized cross-silo federated learning on non-iid data

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.601149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 12d12af9-4f6e-4c2d-b2b9-1e10b1bec42f · outbound

This paper cites E., and Erol-Kantarci, M.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN E., and Erol-Kantarci, M

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.586300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 51038bbc-477d-4d89-8f3c-ca41ccb4425d · outbound

This paper cites and Iosifidis, G.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN and Iosifidis, G

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.571249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 70b3e45c-93e3-406e-80a2-b74b12e4b6bf · outbound

This paper cites Generative ai in mobile networks: a survey.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Generative ai in mobile networks: a survey

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.555603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f9fa14d9-71fa-41aa-8316-3a42ff7e4e60 · outbound

This paper cites K., Lazaridis, P.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN K., Lazaridis, P

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.535433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e17ac07b-b57a-44b9-ace5-a69efb3f43ad · outbound

This paper cites Programmable and Customized Intelligence for Traffic Steering in 5G Networks Using Open RAN Architectures.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Programmable and Customized Intelligence for Traffic Steering in 5G Networks Using Open RAN Architectures

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T14:44:09.171966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f8dd7a3-3e20-4b25-8cba-252eb9aa111d · outbound

This paper cites Session management for urllc in 5g open radio access network: A machine learning approach.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Session management for urllc in 5g open radio access network: A machine learning approach

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.518414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e94be4d8-78b2-4d74-846d-4c19a7d98ef4 · outbound

This paper cites an unresolved cited work.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:44:09.503678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5d1db9db-b9e5-4b52-9ced-6a848f58bc95 · outbound

This paper cites B., and Abou-Zeid, H.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN B., and Abou-Zeid, H

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.489459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 75be1895-381a-4750-9e0f-3a666c4acf49 · outbound

This paper cites B., Quang, P.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN B., Quang, P

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.473882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fa5be63d-6335-40eb-a664-36793c3cf2d0 · outbound

This paper cites A., Veness, J., Bellemare, M.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN A., Veness, J., Bellemare, M

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T14:44:07.475651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a702cd6-bff6-4ef1-bd96-3fda7b1a7d17 · outbound

This paper cites K., Shah-Mansouri, V., Parsaeefard, S., and L \'o pez, O.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN K., Shah-Mansouri, V., Parsaeefard, S., and L \'o pez, O

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.441330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7fc9b5ec-810d-406d-af98-7a17b528eb51 · outbound

This paper cites M., Abou-zeid, H., and Hassanein, H.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN M., Abou-zeid, H., and Hassanein, H

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.424164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 92942bcd-f9f1-437b-8cef-b1da9e3b4d8e · outbound

This paper cites S., Singh, S., Banerji, R., Reed, J.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN S., Singh, S., Banerji, R., Reed, J

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.408687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b5e170c2-0c18-4599-95b2-e0520ccb697c · outbound

This paper cites O-RAN Architecture Description 10.0.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN O-RAN Architecture Description 10.0

Reference 29

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T14:44:09.392497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad9b67c9-ec2a-4b35-a13d-e96f8a5ba364 · outbound

This paper cites N., Tetzlaff, T., Nassar, M., Nikopour, H., and Talwar, S.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN N., Tetzlaff, T., Nassar, M., Nikopour, H., and Talwar, S

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.376636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation faa741bd-6cbe-497d-96b2-abf7096f6429 · outbound

This paper cites Understanding o-ran: Architecture, interfaces, algorithms, security, and research challenges.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Understanding o-ran: Architecture, interfaces, algorithms, security, and research challenges

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.360934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 639b0dd3-46b6-4a02-8e33-e6b91eca59d3 · outbound

This paper cites F., Simeone, O., and Durisi, G.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN F., Simeone, O., and Durisi, G

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.346711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 92f9d7af-04a6-4569-b7d3-4e80ab6a86c4 · outbound

This paper cites Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:44:09.146120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 59a404ba-160c-4648-91f6-6fc8c0961386 · outbound

This paper cites S., Demir, U., Stephenson, N., Soltani, N., Shah, V.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN S., Demir, U., Stephenson, N., Soltani, N., Shah, V

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.331669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 04bf5e11-1bfd-49da-9709-d671049feb5d · outbound

This paper cites On the specialization of fdrl agents for scalable and distributed 6g ran slicing orchestration.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN On the specialization of fdrl agents for scalable and distributed 6g ran slicing orchestration

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.317706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 69de93e1-7ae0-4748-815e-b5b581caba40 · outbound

This paper cites an unresolved cited work.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:44:09.302173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f0a0504d-f1b1-4a7c-817d-18fcd9ea69ef · outbound

This paper cites K., and Radunovic, B.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN K., and Radunovic, B

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.284715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8e89000d-6db3-402a-8d7e-f9c3288d5b9b · outbound

This paper cites Research report on digital twin ran use cases, May 2024 b.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Research report on digital twin ran use cases, May 2024 b

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.269844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fdc0d8e7-cf29-41c2-a8a7-804c220fea40 · outbound

This paper cites Federated deep reinforcement learning for the distributed control of nextg wireless networks.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Federated deep reinforcement learning for the distributed control of nextg wireless networks

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.250965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f1d2bd2-c7a6-4d92-854b-340e6a580114 · outbound

This paper cites Off-policy learning in contextual bandits for remote electrical tilt optimization.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Off-policy learning in contextual bandits for remote electrical tilt optimization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.235445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fa464990-ded6-4646-a556-eabb8db6b8a8 · outbound

This paper cites and Liyanage, M.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN and Liyanage, M

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.219338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2410e9b3-0775-4ba1-b4f5-bc675b98f794 · outbound

This paper cites Dynamic ran slicing for service-oriented vehicular networks via constrained learning.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Dynamic ran slicing for service-oriented vehicular networks via constrained learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.203303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 08361a61-e9cf-4c26-bfd9-72cd74450e8f · outbound

This paper cites Machine Learning-based Early Attack Detection Using Open RAN Intelligent Controller.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Machine Learning-based Early Attack Detection Using Open RAN Intelligent Controller

Reference 43

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T14:44:09.121038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9c9e9a99-299b-42c5-b1ec-c25682cfcce8 · outbound

This paper cites Q., Chen, J., Cao, X., and Wu, D.

Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Q., Chen, J., Cao, X., and Wu, D

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:09.188356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.