Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-20T19:42:42.243378Z
Paper Citation Record · LEDGER
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems
As of 10 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2605.16547.
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 2026-08-10T06:31:04.303077+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
43 of 43 outbound references displayed
- verified exact6
- verified fuzzy37
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6d1696eb-955f-46c5-86ca-146313b276ad · outbound
This paper cites Artificial general intelligence (AGI)-native wireless systems: A journey beyond 6G.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Artificial general intelligence (AGI)-native wireless systems: A journey beyond 6G
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.311933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3203eb06-3c16-4d6f-bae0-c13ca3dc41c6 · outbound
This paper cites Energy-efficient edge inference in integrated sensing, communication, and computation networks.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Energy-efficient edge inference in integrated sensing, communication, and computation networks
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.308607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 05fd09d5-8d13-432a-91c7-523d398fa4b4 · outbound
This paper cites Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T19:43:43.710826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e2d094c9-da77-45ea-b55f-275e2fefc7a2 · outbound
This paper cites Less data, more knowledge: Building next-generation semantic communication networks.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Less data, more knowledge: Building next-generation semantic communication networks
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.298639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e8fad5d0-c74c-4865-afeb-68f0ff337e13 · outbound
This paper cites Adaptive resource allocation for semantic communication networks.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Adaptive resource allocation for semantic communication networks
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.257734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 163bc277-bc7c-4b78-9cb9-96ae96c5a5d2 · outbound
This paper cites Intellicise wireless networks from semantic communications: A survey, research issues, and challenges.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Intellicise wireless networks from semantic communications: A survey, research issues, and challenges
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.296223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 18d8d123-14b8-42f4-b95a-92bef8cdea5d · outbound
This paper cites Sensing-communication-computing-control closed-loop opti- mization for 6G digital twin-empowered robotic systems.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Sensing-communication-computing-control closed-loop opti- mization for 6G digital twin-empowered robotic systems
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.293505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9bc6a8dc-e124-42e0-bfe2-92fb3e26adcb · outbound
This paper cites Feature importance-aware task-oriented semantic transmission and op- timization.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Feature importance-aware task-oriented semantic transmission and op- timization
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.314997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7827acf5-8f5f-49f1-a1a8-e56a421a7fc4 · outbound
This paper cites Age-of- information vs. value-of-information scheduling for cellular networked control systems.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Age-of- information vs. value-of-information scheduling for cellular networked control systems
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.318203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 54e2bca0-5466-492f-bd87-783e4e2ba1e8 · outbound
This paper cites Value of information in feedback control: Quantification.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Value of information in feedback control: Quantification
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.291050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d1619443-e5e2-41f6-a7a5-17e59c4a595b · outbound
This paper cites On the value of information and mean squared error for noisy gaussian models.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems On the value of information and mean squared error for noisy gaussian models
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.296719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fdc73a03-65e1-4a20-ba29-f02f77c8869c · outbound
This paper cites A dynamic programming frame- work for vehicular task offloading with successive action improvement.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems A dynamic programming frame- work for vehicular task offloading with successive action improvement
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.284137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 79a7fae2-f774-49ce-a7b3-2eaefd765654 · outbound
This paper cites Lyapunov-guided deep reinforcement learning for semantic-aware AoI minimization in UA V-assisted wireless networks.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Lyapunov-guided deep reinforcement learning for semantic-aware AoI minimization in UA V-assisted wireless networks
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.288591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f92be6b1-4a49-4649-90b7-eaaad486a4b1 · outbound
This paper cites Enhancing energy efficiency in wireless-powered MEC systems through lyapunov-guided deep reinforcement learning.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Enhancing energy efficiency in wireless-powered MEC systems through lyapunov-guided deep reinforcement learning
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.317458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 077e2a83-59ed-48b8-9f78-8ea1f64daf94 · outbound
This paper cites Model predictive control enabled UA V trajectory optimization and secure resource allocation.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Model predictive control enabled UA V trajectory optimization and secure resource allocation
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.285299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 13036ef1-ea40-4119-94f6-783300c3c21d · outbound
This paper cites IRS-enhanced secure semantic communication networks: Cross-layer and context-awared re- source allocation.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems IRS-enhanced secure semantic communication networks: Cross-layer and context-awared re- source allocation
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.289737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 272e8e9d-eeac-47fd-bc16-96b1ed5a7b02 · outbound
This paper cites Joint beam- forming in RIS-assisted multi-user transmission design: A model-driven deep reinforcement learning framework.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Joint beam- forming in RIS-assisted multi-user transmission design: A model-driven deep reinforcement learning framework
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.271188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c77cf983-b312-41f5-95a3-2d1cb0568559 · outbound
This paper cites Energy-efficient resource allocation for multi-user semantic communications: A deep reinforcement learning approach.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Energy-efficient resource allocation for multi-user semantic communications: A deep reinforcement learning approach
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.305302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0277a369-9b13-42f5-8d56-d1fd85b08275 · outbound
This paper cites AoI-aware resource allocation for platoon-based C-V2X networks via multi-agent multi-task reinforcement learning.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems AoI-aware resource allocation for platoon-based C-V2X networks via multi-agent multi-task reinforcement learning
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.256082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e38bc650-c93f-4511-aac3-2fb237acd23e · outbound
This paper cites Semantic communications for closed-loop physical AI systems.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Semantic communications for closed-loop physical AI systems
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.271714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 02e20c34-fd87-49db-a5c0-ef2199522c54 · outbound
This paper cites A multi-task oriented semantic communication framework for autonomous vehicles.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems A multi-task oriented semantic communication framework for autonomous vehicles
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.322928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b0f42fbb-295d-4d01-9407-6f6f092330d7 · outbound
This paper cites Robust semantic communications for speech transmission.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Robust semantic communications for speech transmission
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.311365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2162644f-6056-48f5-8af2-a0a5aabd08ef · outbound
This paper cites Task-oriented low-label semantic communication with self-supervised learning.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Task-oriented low-label semantic communication with self-supervised learning
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.305560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4fa1bfd8-b43d-4a90-a50e-e9035502be0d · outbound
This paper cites Channel- aware deep joint source-channel coding for multi-task oriented semantic communication.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Channel- aware deep joint source-channel coding for multi-task oriented semantic communication
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.315332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 48874e22-43a2-4164-b0cc-d7dff7cece96 · outbound
This paper cites Goal-oriented semantic communication for wireless visual question answering.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Goal-oriented semantic communication for wireless visual question answering
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.332296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5729a81d-8b85-40bc-ad29-de8283b5459c · outbound
This paper cites Importance of semantic information based on semantic value.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Importance of semantic information based on semantic value
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.292046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1617ba62-fb6c-47f5-8ef5-ada9dec39b61 · outbound
This paper cites Digital twin of industrial networked control system based on value of information.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Digital twin of industrial networked control system based on value of information
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.249928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 61241b41-e553-446c-aa46-934493f186ca · outbound
This paper cites V oi-driven joint optimization of control and communication in vehicular digital twin network.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems V oi-driven joint optimization of control and communication in vehicular digital twin network
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.308194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 53593858-6f44-41e7-9d84-9878070056e1 · outbound
This paper cites DMWM: Dual- mind world model with long-term imagination.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems DMWM: Dual- mind world model with long-term imagination
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.279929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4cacc6ae-8f3a-4625-9ca1-3dd8b5e77f25 · outbound
This paper cites Simplifying latent dynamics with softly state-invariant world models.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Simplifying latent dynamics with softly state-invariant world models
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.248549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 198ce16e-f50e-4b64-a4d2-07830f30a74a · outbound
This paper cites Dream to manipulate: Compositional world models em- powering robot imitation learning with imagination.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Dream to manipulate: Compositional world models em- powering robot imitation learning with imagination
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.282904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a53549f4-64b3-4c2d-8fcc-9d16796cb49a · outbound
This paper cites Learning latent dynamics for planning from pixels.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Learning latent dynamics for planning from pixels
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.325215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 724ceab2-ac63-41cd-90df-d28bb6b0a0cd · outbound
This paper cites Mastering diverse control tasks through world models.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Mastering diverse control tasks through world models
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.258856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e99cc99d-86a9-4af4-b9c1-2684a9806d4b · outbound
This paper cites World model-based perception for visual legged locomotion.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems World model-based perception for visual legged locomotion
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.329996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 04d8e3f5-ec63-4b42-81ee-03d18fb90cc9 · outbound
This paper cites World Model-Based Learning for Long-Term Age of Information Minimization in Vehicular Networks.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems World Model-Based Learning for Long-Term Age of Information Minimization in Vehicular Networks
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T19:43:43.723771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 27c8fc7c-add3-42b4-a16a-83b4e9ced354 · outbound
This paper cites Dual-mind world models: A general framework for learning in dynamic wireless networks.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Dual-mind world models: A general framework for learning in dynamic wireless networks
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T19:43:43.710365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4d7ec1e6-6db1-4037-a041-caa9794142ec · outbound
This paper cites Networld: Communication-based diffusion world model for multi-agent reinforce- ment learning in wireless networks.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Networld: Communication-based diffusion world model for multi-agent reinforce- ment learning in wireless networks
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T19:43:43.714385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c878ce50-8c09-4b83-aa1e-b3dc2391543a · outbound
This paper cites MobiWorld: World Models for Mobile Wireless Network.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems MobiWorld: World Models for Mobile Wireless Network
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T19:43:43.718987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7fa321ce-8ad6-47a0-95b1-722edbe0657d · outbound
This paper cites World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T19:43:43.721306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9e2f7dc0-b46c-4051-8ed5-89332bb88217 · outbound
This paper cites Td-mpc2: Scalable, robust world models for continuous control.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Td-mpc2: Scalable, robust world models for continuous control
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.252991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation eedb4550-880f-415f-9885-9ddccc3fc41f · outbound
This paper cites A theoretically- grounded codebook for digital semantic communications.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems A theoretically- grounded codebook for digital semantic communications
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.327581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f5dbb812-53c1-42ae-96b3-d75600cbcba2 · outbound
This paper cites Airsim: High-fidelity visual and physical simulation for autonomous vehicles.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Airsim: High-fidelity visual and physical simulation for autonomous vehicles
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.299176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3a923237-bddf-4f23-a4eb-139d4363e259 · outbound
This paper cites Hoydis, S.
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Hoydis, S
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T19:43:44.294397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.