Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T19:39:19.417968Z
Paper Citation Record · LEDGER
PERA: A Perceive-Reason-Act Interface Bridging Sensing, Cognitive Reasoning, and Trustworthy Agentic Response for 6G
As of 5 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2607.16896.
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 2026-08-04T06:34:03.388597+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
16 of 16 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved16
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 119f1ee8-71b5-4746-9505-2887ce6677bb · outbound
This paper cites Wireless large AI model: shaping the AI-empowered future of 6G and beyond.
PERA: A Perceive-Reason-Act Interface Bridging Sensing, Cognitive Reasoning, and Trustworthy Agentic Response for 6G Wireless large AI model: shaping the AI-empowered future of 6G and beyond
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:39:18.173620Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 834e5eb4-40c1-4c96-8c34-7b954611e484 · outbound
This paper cites Generative AI for Intent- Driven Network Management in 6G RAN: A Case Study on the Mamba Model,.
PERA: A Perceive-Reason-Act Interface Bridging Sensing, Cognitive Reasoning, and Trustworthy Agentic Response for 6G Generative AI for Intent- Driven Network Management in 6G RAN: A Case Study on the Mamba Model,
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:39:18.227813Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d3c6385-e121-4e83-b55a-749eb8c1ac3e · outbound
This paper cites NetGPT: An AI-native network architecture for provisioning beyond personalized generative services,.
PERA: A Perceive-Reason-Act Interface Bridging Sensing, Cognitive Reasoning, and Trustworthy Agentic Response for 6G NetGPT: An AI-native network architecture for provisioning beyond personalized generative services,
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:39:18.311167Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7779e70-be29-4d40-ac00-27baae2eb90d · outbound
This paper cites Large Language Models for Wireless Net- works: An Overview from the Prompt Engineering Perspective,.
PERA: A Perceive-Reason-Act Interface Bridging Sensing, Cognitive Reasoning, and Trustworthy Agentic Response for 6G Large Language Models for Wireless Net- works: An Overview from the Prompt Engineering Perspective,
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:39:18.405400Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6abd8d9-02f3-49f4-a4aa-845df62fcfa0 · outbound
This paper cites Wireless Multimodal Foundation Model (WMFM): Integrating Vision and Communication Modalities for 6G ISAC Systems,.
PERA: A Perceive-Reason-Act Interface Bridging Sensing, Cognitive Reasoning, and Trustworthy Agentic Response for 6G Wireless Multimodal Foundation Model (WMFM): Integrating Vision and Communication Modalities for 6G ISAC Systems,
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:39:18.515374Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17380876-20b6-4fea-a876-c144b2d6c2e6 · outbound
This paper cites Large Wireless Model (LWM): A Foundation Model for Wireless Channels.
PERA: A Perceive-Reason-Act Interface Bridging Sensing, Cognitive Reasoning, and Trustworthy Agentic Response for 6G Large Wireless Model (LWM): A Foundation Model for Wireless Channels
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:39:18.627753Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34db8e30-ee83-417d-8633-3a5481c6778b · outbound
This paper cites IQFM—A Wireless Foundation Model for I/Q Streams in AI-Native 6G,.
PERA: A Perceive-Reason-Act Interface Bridging Sensing, Cognitive Reasoning, and Trustworthy Agentic Response for 6G IQFM—A Wireless Foundation Model for I/Q Streams in AI-Native 6G,
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:39:18.718181Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c2c7d28-3558-431a-b103-b69187df3cd2 · outbound
This paper cites Advanced end-to-end intent-driven dynamic network slicing: Challenges, solutions, and implementation,.
PERA: A Perceive-Reason-Act Interface Bridging Sensing, Cognitive Reasoning, and Trustworthy Agentic Response for 6G Advanced end-to-end intent-driven dynamic network slicing: Challenges, solutions, and implementation,
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:39:18.783358Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c716e59-e393-48d9-94df-5b87822a57cf · outbound
This paper cites Generative diffusion models for wireless networks: Fundamen- tal, architecture, and state-of-the-art,.
PERA: A Perceive-Reason-Act Interface Bridging Sensing, Cognitive Reasoning, and Trustworthy Agentic Response for 6G Generative diffusion models for wireless networks: Fundamen- tal, architecture, and state-of-the-art,
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:39:18.852027Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dff6c19f-690d-4230-88c9-b7340ee336b6 · outbound
This paper cites Edge large ai model empowered cognitive multimodal semantic communication system,.
PERA: A Perceive-Reason-Act Interface Bridging Sensing, Cognitive Reasoning, and Trustworthy Agentic Response for 6G Edge large ai model empowered cognitive multimodal semantic communication system,
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:39:18.938903Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6caa484-fe1c-441b-b918-fef338897a5f · outbound
This paper cites 6g-bench: An open benchmark for semantic communication and network-level reasoning with foundation models in ai-native 6g networks,.
PERA: A Perceive-Reason-Act Interface Bridging Sensing, Cognitive Reasoning, and Trustworthy Agentic Response for 6G 6g-bench: An open benchmark for semantic communication and network-level reasoning with foundation models in ai-native 6g networks,
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:39:18.991556Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd910cd8-d853-4eaa-bdef-dbf339aebcf2 · outbound
This paper cites RF-GPT: Teaching AI to See the Wireless World,.
PERA: A Perceive-Reason-Act Interface Bridging Sensing, Cognitive Reasoning, and Trustworthy Agentic Response for 6G RF-GPT: Teaching AI to See the Wireless World,
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:39:19.144393Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0de8c0b-9046-4567-9fbd-7c51aab79d3f · outbound
This paper cites Chain-of-Thought Reasoning Enhances In- Context Learning for LLM-Based Mobile Traffic Prediction,.
PERA: A Perceive-Reason-Act Interface Bridging Sensing, Cognitive Reasoning, and Trustworthy Agentic Response for 6G Chain-of-Thought Reasoning Enhances In- Context Learning for LLM-Based Mobile Traffic Prediction,
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:39:19.214690Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c936ccd6-03ac-4eed-8f5f-67988e782779 · outbound
This paper cites Visual instruction tuning,.
PERA: A Perceive-Reason-Act Interface Bridging Sensing, Cognitive Reasoning, and Trustworthy Agentic Response for 6G Visual instruction tuning,
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:39:19.330017Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e90750a-ceec-4bae-91b8-95dcc80d7a6f · outbound
This paper cites DeepMIMO: A generic deep learning dataset for millimeter wave and massive MIMO applications,.
PERA: A Perceive-Reason-Act Interface Bridging Sensing, Cognitive Reasoning, and Trustworthy Agentic Response for 6G DeepMIMO: A generic deep learning dataset for millimeter wave and massive MIMO applications,
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:39:19.417968Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 730d064d-5f9f-4627-a224-e76d8d3cf360 · outbound
This paper cites Chain-of-Thought Reasoning Enhances In-Context Learning for LLM-Based Mobile Traffic Prediction.
PERA: A Perceive-Reason-Act Interface Bridging Sensing, Cognitive Reasoning, and Trustworthy Agentic Response for 6G Chain-of-Thought Reasoning Enhances In-Context Learning for LLM-Based Mobile Traffic Prediction
Reference 2026
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:39:19.253172Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.