Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T17:43:06.816807Z
Paper Citation Record · LEDGER
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins
As of 22 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2604.07559.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
47 of 47 outbound references displayed
- verified exact1
- verified fuzzy41
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3102aacb-5429-4af4-b842-a661417ae32e · outbound
This paper cites Ai power: Expanding data center capacity to meet growing demand.McKinsey & Company, October 2024.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Ai power: Expanding data center capacity to meet growing demand.McKinsey & Company, October 2024
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.155570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1ce236e9-4ed9-4996-b4a7-4e970dfc2974 · outbound
This paper cites Electricity 2024 analysis and forecast to 2026.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Electricity 2024 analysis and forecast to 2026
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.177771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5fdfc6ab-1d91-4e48-9f53-2ebee2c7d3f4 · outbound
This paper cites Data center evolution: A tutorial on state of the art, issues, and challenges.Computer Networks, 53(17):2939–2965.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Data center evolution: A tutorial on state of the art, issues, and challenges.Computer Networks, 53(17):2939–2965
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.144990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 413a6e46-2980-4c40-b241-58027820a860 · outbound
This paper cites 2024 global data center survey.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins 2024 global data center survey
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.180709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e3bd4e31-51b0-4a99-a20a-4051db8cf26b · outbound
This paper cites Uptime’s 13th Annual Global Data Center Survey Shows Widening Range of Challenges.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Uptime’s 13th Annual Global Data Center Survey Shows Widening Range of Challenges
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.140368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f41f9551-eaa9-4cbb-88dc-1726c13ee3c4 · outbound
This paper cites The ai disruption: Challenges and guidance for data center design.Artificial Intelligence in Medicine, 138.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins The ai disruption: Challenges and guidance for data center design.Artificial Intelligence in Medicine, 138
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.161620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 11036f22-a52f-4341-997a-ade326d6bd0d · outbound
This paper cites A survey on data center cooling systems: Technology, power consumption modeling and control strategy optimization.Journal of Systems Architecture, 119:102253.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins A survey on data center cooling systems: Technology, power consumption modeling and control strategy optimization.Journal of Systems Architecture, 119:102253
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.168611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fa7e9b8b-d8d8-4c0e-9fd1-fd09ffc82608 · outbound
This paper cites an unresolved cited work.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T09:21:42.165265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1774988c-c1bd-46d1-86da-35563ef9fa51 · outbound
This paper cites an unresolved cited work.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T09:21:42.174853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7c31147e-77ed-4036-8416-b5d732e4e2c6 · outbound
This paper cites Deep reinforcement learning for tropical air free-cooled data center control.ACM Transactions on Sensor Networks (TOSN), 17(3):1–28.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Deep reinforcement learning for tropical air free-cooled data center control.ACM Transactions on Sensor Networks (TOSN), 17(3):1–28
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.171857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c540318a-0c55-470b-ae4d-ef8e0c18fd77 · outbound
This paper cites Transformingcoolingoptimizationforgreendatacenterviadeepreinforcement learning.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Transformingcoolingoptimizationforgreendatacenterviadeepreinforcement learning
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.158391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8671e4ff-cd98-4f9d-8b3c-687cddf03a0d · outbound
This paper cites Optimizing energy efficiency for data center via parameterized deep reinforcement learning.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Optimizing energy efficiency for data center via parameterized deep reinforcement learning
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.226251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 34ef008f-04c0-4e23-a03e-ee5564fe04e6 · outbound
This paper cites Intelligent Dynamic Thermal Control Using Deep Learning and Reinforcement Learning.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Intelligent Dynamic Thermal Control Using Deep Learning and Reinforcement Learning
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.213684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0c0611b5-f43b-4499-8e4e-7bab0461a8c8 · outbound
This paper cites Safecool:safeandenergy-efficientcoolingmanagementin datacenterswithmodel-basedreinforcementlearning.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Safecool:safeandenergy-efficientcoolingmanagementin datacenterswithmodel-basedreinforcementlearning
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.273898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3e12ff92-1a28-46b4-9689-82664d3501a2 · outbound
This paper cites Efficientcompute-intensivejoballocationindatacentersviadeepreinforcementlearning.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Efficientcompute-intensivejoballocationindatacentersviadeepreinforcementlearning
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.229391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c92bf6e4-bcea-40d1-a39d-685fbe81d253 · outbound
This paper cites an unresolved cited work.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T09:21:42.232154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0a381677-479c-4ef7-937b-fb2371084fc9 · outbound
This paper cites an unresolved cited work.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T09:21:42.283026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b9a8d95f-772b-4c36-8a87-8f4efdf71405 · outbound
This paper cites Joint it-facility optimization for green data centers via deep reinforcement learning.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Joint it-facility optimization for green data centers via deep reinforcement learning
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.216663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9af754c5-c7a1-43d8-8df3-4e25771d14c2 · outbound
This paper cites Artificial intelligence in orthopaedics: false hope or not? a narrative review along the line of gartner’s hype cycle.EFORT open reviews, 5(10):593–603.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Artificial intelligence in orthopaedics: false hope or not? a narrative review along the line of gartner’s hype cycle.EFORT open reviews, 5(10):593–603
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.207569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 68ad8f88-b2f9-47ea-88c6-15e692c9d1f4 · outbound
This paper cites Energysavingevaluationofanenergyefficientdata center using a model-free reinforcement learning approach.Applied Energy, 322:119392.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Energysavingevaluationofanenergyefficientdata center using a model-free reinforcement learning approach.Applied Energy, 322:119392
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.247268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e42b8551-68d4-4ed7-bccc-5ac09862ce78 · outbound
This paper cites Residual physics and post-posed shielding for safe deep reinforcement learning method.IEEE transactions on cybernetics, 54(2):865–876.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Residual physics and post-posed shielding for safe deep reinforcement learning method.IEEE transactions on cybernetics, 54(2):865–876
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.200689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 02026e97-c9cc-4a9a-86c7-d143fc644e87 · outbound
This paper cites Drl-s: Toward safe real-world learning of dynamic thermal management in data center.Expert Systems with Applications, 214:119146.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Drl-s: Toward safe real-world learning of dynamic thermal management in data center.Expert Systems with Applications, 214:119146
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.235206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2b5bdfa1-8e0f-4220-aff6-99aa3c65ed55 · outbound
This paper cites Greendatacentercoolingcontrolviaphysics-guidedsafereinforcement learning.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Greendatacentercoolingcontrolviaphysics-guidedsafereinforcement learning
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.183723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1d2cf04e-8cf8-48a4-9377-9a3a282ff449 · outbound
This paper cites Towardmodel-assistedsafereinforcementlearningfordatacentercoolingcontrol: A lyapunov-based approach.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Towardmodel-assistedsafereinforcementlearningfordatacentercoolingcontrol: A lyapunov-based approach
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.265354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 32a9554e-3e9e-4c52-b9f0-63f4f6328030 · outbound
This paper cites Uncertainty-aware online learning of dynamic thermal control in data center with imperfect pretrained models.Expert Systems with Applications, 249:123767.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Uncertainty-aware online learning of dynamic thermal control in data center with imperfect pretrained models.Expert Systems with Applications, 249:123767
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.256485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3ab5acde-38b4-4c64-87b4-5a2cfb2c736c · outbound
This paper cites Data center cooling using model-predictive control.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Data center cooling using model-predictive control
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.253111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bbbe0365-7d3d-4e90-bcf8-db4738b7c86b · outbound
This paper cites Large-scale data center cooling control via sample-efficient reinforcement learning.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Large-scale data center cooling control via sample-efficient reinforcement learning
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.193957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 25bff0ee-9159-4156-a44f-964611f89446 · outbound
This paper cites Data Center Cooling System Optimization Using Offline Reinforcement Learning.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Data Center Cooling System Optimization Using Offline Reinforcement Learning
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:15:58.260888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 88e28e53-7a1f-40cc-938e-461efacf4da1 · outbound
This paper cites A survey on offline reinforcement learning: Taxonomy, review, and open problems.IEEE Transactions on Neural Networks and Learning Systems.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins A survey on offline reinforcement learning: Taxonomy, review, and open problems.IEEE Transactions on Neural Networks and Learning Systems
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.259506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 60242655-f533-493b-bd17-795198afd585 · outbound
This paper cites The National Academies Press.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins The National Academies Press
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.190794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 938ffaac-5c04-430e-ba63-8194bf68d997 · outbound
This paper cites Digital twin modeling.Journal of Manufacturing Systems, 64:372–389.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Digital twin modeling.Journal of Manufacturing Systems, 64:372–389
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.289110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a4abfd3f-0d71-4faa-9c87-779f3eb3dc20 · outbound
This paper cites Digital transformation: Lights and shadows.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Digital transformation: Lights and shadows
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.250385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a01b43f1-7b74-4814-9416-f2a896c64a33 · outbound
This paper cites Caper:Dual-levelphysics-data fusion with modular metamodels for reliable generalization in predictive digital twins.Applied Energy, 398:126393.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Caper:Dual-levelphysics-data fusion with modular metamodels for reliable generalization in predictive digital twins.Applied Energy, 398:126393
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.262304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7b32dd09-2cef-48b9-8c0e-1d92a943256f · outbound
This paper cites Reinforcement twinning: From digital twins to model-based reinforcement learning.Journal of Computational Science, 82:102421.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Reinforcement twinning: From digital twins to model-based reinforcement learning.Journal of Computational Science, 82:102421
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.210724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ed94be2d-199f-4179-8429-288ed37fd169 · outbound
This paper cites Digital twin-enhanced deep reinforcement learning for resource management in networks slicing.IEEE Transactions on Communications.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Digital twin-enhanced deep reinforcement learning for resource management in networks slicing.IEEE Transactions on Communications
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.244181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6655fcb5-33bb-4663-9d30-8cc393f1e26a · outbound
This paper cites Toward enhanced reinforcement learning-based resource management via digital twin: Opportunities, applications, and challenges.IEEE Network.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Toward enhanced reinforcement learning-based resource management via digital twin: Opportunities, applications, and challenges.IEEE Network
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.213175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 02b4617d-4883-416d-88c7-578babbe58e1 · outbound
This paper cites an unresolved cited work.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T09:21:42.286080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5b702b6d-791e-45d9-9187-d60aca4cd96f · outbound
This paper cites Digital twin application for reinforcement learning based optimal scheduling and reliability management enhancement of systems.Solar Energy, 252:29–38.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Digital twin application for reinforcement learning based optimal scheduling and reliability management enhancement of systems.Solar Energy, 252:29–38
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.220048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3a14a0d8-197b-483b-878b-a7d42ff7f2d9 · outbound
This paper cites Deep reinforcement learning-based energy management system enhancement using digital twin for electric vehicles.Energy, 312:133384.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Deep reinforcement learning-based energy management system enhancement using digital twin for electric vehicles.Energy, 312:133384
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.276876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 66c32732-99f5-48a9-b34e-6cf850ca8442 · outbound
This paper cites Digital twins for data centers.Computer, 57(10):151–158.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Digital twins for data centers.Computer, 57(10):151–158
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.241012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c7b683ec-da1a-43b7-8e4c-ecbf5174b86d · outbound
This paper cites Onthesamplecomplexityofreinforcementlearning.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Onthesamplecomplexityofreinforcementlearning
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.268086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 13034ce8-a401-400a-84e6-f9dcab426255 · outbound
This paper cites Model-basedrlincontextualdecisionprocesses:Pacbounds and exponential improvements over model-free approaches.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Model-basedrlincontextualdecisionprocesses:Pacbounds and exponential improvements over model-free approaches
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.222142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 08169979-746b-4ede-a2e1-2a3b8113b744 · outbound
This paper cites Mopo: Model-based offline policy optimization.Advances in Neural Information Processing Systems, 33:14129–14142.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Mopo: Model-based offline policy optimization.Advances in Neural Information Processing Systems, 33:14129–14142
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.225219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 911e8038-50cd-4c5f-bd03-7349f4fc0b6f · outbound
This paper cites Morel: Model-based offline reinforcement learning.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Morel: Model-based offline reinforcement learning
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.231096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8ba321bf-b9bd-406d-a60b-0c2016c7dc89 · outbound
This paper cites Red dot analytics help data centres be cool.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Red dot analytics help data centres be cool
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.270961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a8ef4298-2ef3-4ef2-b0e1-29b2e47f0c10 · outbound
This paper cites Energyplus: creating a new-generation building energy simulation program.Energy and buildings, 33(4):319–331.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Energyplus: creating a new-generation building energy simulation program.Energy and buildings, 33(4):319–331
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.238171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 10b8f937-4020-4ce6-aef3-f1ab48102eab · outbound
This paper cites Tianshou: A highly modularized deep reinforcement learning library.Journal of Machine Learning Research, 23(267):1–6.
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins Tianshou: A highly modularized deep reinforcement learning library.Journal of Machine Learning Research, 23(267):1–6
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T09:21:42.280056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.