Paper Citation Record · LEDGER

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation

As of 10 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2505.21518.

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

pith.paper-citation-record.v1
2505.21518 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:09:37.746166Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:45:46.165377Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:45:46.477420Z

Reference resolution

38 of 38 outbound references displayed

verified exact3
verified fuzzy24
unresolved10
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ec4728f-c7a8-4496-8438-417715f87a42 · outbound

This paper cites T he Role of AI in 6G MAC,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation T he Role of AI in 6G MAC,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:42.939000Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 758cec99-d957-4067-890c-7b9c4384fc2e · outbound

This paper cites The Emerge nce of Wireless MAC Protocols with Multi-Agent Reinforcement Lea rning,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation The Emerge nce of Wireless MAC Protocols with Multi-Agent Reinforcement Lea rning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:42.787732Z

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Observation b11d16b4-195c-4769-927e-98083fc921a5 · outbound

This paper cites Towa rd Semantic Communication Protocols: A Probabilistic Logic P erspective,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Towa rd Semantic Communication Protocols: A Probabilistic Logic P erspective,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:42.507102Z

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Observation 8a6fbf7a-27c9-427b-8dc0-bd366ed474ff · outbound

This paper cites Evolution of MAC Protocols in the Machine Learning Decade: A Comprehensive Survey.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Evolution of MAC Protocols in the Machine Learning Decade: A Comprehensive Survey

Reference 4

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Observation 2bcfc051-14bf-45e0-8540-bab0d7594f0c · outbound

This paper cites A Deep-Learni ng-based MAC for Integrating Channel Access, Rate Adaptation, and Ch annel Switch,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation A Deep-Learni ng-based MAC for Integrating Channel Access, Rate Adaptation, and Ch annel Switch,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:42.343677Z

Source-reported events for the cited work

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Observation 26423838-12f0-4a98-82d9-92a9f2f819d0 · outbound

This paper cites Wireless MA C Protocol Synthesis and Optimization with Multi-Agent Distributed R einforcement Learning,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Wireless MA C Protocol Synthesis and Optimization with Multi-Agent Distributed R einforcement Learning,

Reference 6

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Observation 9ca8944e-8df8-4818-a67c-70aee99fa172 · outbound

This paper cites Learning MAC Protocols in HetNets: A Cooperative Multi-Agent Deep Reinf orcement Learning Approach,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Learning MAC Protocols in HetNets: A Cooperative Multi-Agent Deep Reinf orcement Learning Approach,

Reference 7

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Observation 6fbbd1cd-7ca3-4600-8112-fdb2257095d7 · outbound

This paper cites Large AI Model Empowered Multimodal Semantic Communications,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Large AI Model Empowered Multimodal Semantic Communications,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:41.696623Z

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Observation 99aa2f07-9416-47cd-9e6a-62c9ccaa23b8 · outbound

This paper cites Large Generative AI Models for Telecom: The Next Big Thing?.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Large Generative AI Models for Telecom: The Next Big Thing?

Reference 9

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Observation df79f9a5-b5b2-4b38-b6b1-21b96be0adbc · outbound

This paper cites Beam Prediction based on Large Language Models,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Beam Prediction based on Large Language Models,

Reference 10

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Observation ae7e9b5f-b20a-483f-9514-3aa563dfe8f1 · outbound

This paper cites Port-LLM: A Port Prediction Method for Fluid Antenna based on Large Language Models.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Port-LLM: A Port Prediction Method for Fluid Antenna based on Large Language Models

Reference 11

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Observation ed0a8d2c-77e0-4b44-b5ca-70dd6686aeaa · outbound

This paper cites LLM-Augmented Deep R einforce- ment Learning for Dynamic O-RAN Network Slicing,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation LLM-Augmented Deep R einforce- ment Learning for Dynamic O-RAN Network Slicing,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:41.174319Z

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Observation cc5169d6-acf5-4dee-ab76-2800f63e1a8f · outbound

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

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation LLM-xApp: A Large Language Model Empowered Radio Resource Management xApp fo r 5G O-RAN,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:41.005603Z

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Observation 195ab6ca-9f6a-4007-b696-987b9a0a0612 · outbound

This paper cites Towards Secure Intelligent O-RAN Architecture: Vulnerabilities, Threats and Promising Technical Solutions using LLMs.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Towards Secure Intelligent O-RAN Architecture: Vulnerabilities, Threats and Promising Technical Solutions using LLMs

Reference 14

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Source-reported events for the cited work

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Observation 330ee65b-34b9-4888-9e42-cc5de15f4928 · outbound

This paper cites LLM4MAC: An LLM-Driven Reinforcement Learning Framework for MAC Protocol Emergence.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation LLM4MAC: An LLM-Driven Reinforcement Learning Framework for MAC Protocol Emergence

Reference 15

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Observation c20bf0c3-4b48-48ea-892b-53256f1dbc48 · outbound

This paper cites Multiagent Cooperation and Competition with Deep Reinforcement Learning,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Multiagent Cooperation and Competition with Deep Reinforcement Learning,

Reference 16

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Observation 4f73ed51-6238-4d4d-8750-56fe1189814a · outbound

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Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Unresolved cited work

Reference 17

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Observation 3d328496-1d2d-49ff-846c-c01f7bef3ddb · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Playing Atari with Deep Reinforcement Learning

Reference 18

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Observation 30124f34-15e0-4f85-82a0-b7b2e3afcf47 · outbound

This paper cites Learning to Predict by the Methods of Temp oral Differ- ences,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Learning to Predict by the Methods of Temp oral Differ- ences,

Reference 19

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Observation 49849623-1f1e-4103-b089-539a356100fb · outbound

This paper cites Continuous control with deep reinforcement learning.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Continuous control with deep reinforcement learning

Reference 20

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Observation 911552ce-b8c2-4981-a768-b755c66ef75c · outbound

This paper cites Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization

Reference 21

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Observation 987527d5-d83f-4c81-a7b6-324fa5ccd264 · outbound

This paper cites TextGrad: Automatic "Differentiation" via Text.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation TextGrad: Automatic "Differentiation" via Text

Reference 22

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Observation 9224d592-ff5f-456a-b44a-212140c88dc4 · outbound

This paper cites Understanding Telecom Language Through Large Language Mo dels,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Understanding Telecom Language Through Large Language Mo dels,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:40.463378Z

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Observation 6d3e0532-4d82-42b1-9006-bfcc5a769866 · outbound

This paper cites Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code

Reference 24

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Observation 47d1c302-fa98-446d-9bb4-b8d95a48d2e4 · outbound

This paper cites Towards Understanding Knowl edge Distil- lation,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Towards Understanding Knowl edge Distil- lation,

Reference 25

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Observation d77c015c-0fb6-4b89-81cc-ca57c5ff6e60 · outbound

This paper cites Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A

Reference 26

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Observation ee93df9f-0ef1-413a-979b-ae21313c5e15 · outbound

This paper cites Born Again Neural Networks,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Born Again Neural Networks,

Reference 27

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Observation 69e26f51-8457-4a14-af2d-d35b440286be · outbound

This paper cites Design and Assessment Method ology for System Resilience Metrics,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Design and Assessment Method ology for System Resilience Metrics,

Reference 28

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This paper cites Modelling Communication Network Challenges for Future Internet Resilience, Survivability, and Disrup tion Tolerance: a Simulation-based Approach,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Modelling Communication Network Challenges for Future Internet Resilience, Survivability, and Disrup tion Tolerance: a Simulation-based Approach,

Reference 29

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Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Methodology for Assessing the Resilience of Networked Infrastructure,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:39.841387Z

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Observation 9cde44c8-88b5-40e0-824f-880057c57ee5 · outbound

This paper cites Come back Kid: Resilience for Mixed-Critical Wireless Network Resource M anagement,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Come back Kid: Resilience for Mixed-Critical Wireless Network Resource M anagement,

Reference 31

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This paper cites A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:39.558691Z

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Observation c5d1b6f7-298f-4c58-b306-8f71a4ea3534 · outbound

This paper cites Model-Agnostic Meta -Learning for Fast Adaptation of Deep Networks,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Model-Agnostic Meta -Learning for Fast Adaptation of Deep Networks,

Reference 33

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Observation 2f826990-5d14-4cc9-b5ea-6acf3efc0c07 · outbound

This paper cites The Meta Distribution of the SIR in Poisson Bipolar and Cellular Networks,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation The Meta Distribution of the SIR in Poisson Bipolar and Cellular Networks,

Reference 34

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Observation 59a61b77-c72b-4533-b250-50b79d2f5559 · outbound

This paper cites Why Comparing Single Performance Scores Does Not Allow to Draw Conclusions About Machine Learning Approaches.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Why Comparing Single Performance Scores Does Not Allow to Draw Conclusions About Machine Learning Approaches

Reference 35

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This paper cites The Mann-Whitney U: A Test for Assessing Whether Two Independent Samples Come from the Same Distribution,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation The Mann-Whitney U: A Test for Assessing Whether Two Independent Samples Come from the Same Distribution,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:39.092969Z

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Observation a3c1da30-bbfd-4f14-8662-a686fbc5facc · outbound

This paper cites SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 37

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This paper cites Link Abstraction Models for Multicarrier Systems: A Logistic Regression Approach,.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation Link Abstraction Models for Multicarrier Systems: A Logistic Regression Approach,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:38.943733Z

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Pith citing papers

Observation 771f242e-582d-4e76-a880-6e725cca25e9 · inbound

Resilient-native and Intelligent NextG Systems cites this paper.

Resilient-native and Intelligent NextG Systems Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:45:46.533187Z

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Observation 09d2e4fc-9653-4d22-a89a-70f68d981c2a · inbound

LLM-Empowered Agentic MAC Protocols: A Dynamic Stackelberg Game Approach cites this paper.

LLM-Empowered Agentic MAC Protocols: A Dynamic Stackelberg Game Approach Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation

Reference 26

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