Paper Citation Record · LEDGER

Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2309.16739.

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

pith.paper-citation-record.v1
2309.16739 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:20:08.774788Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:08:32.808547Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e57eb7bf-7b05-4688-a0ab-cefcc1986ade · inbound

TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading cites this paper.

TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:35:55.908436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation df4034f7-d1b0-4fb5-a1e7-2ac6c2c4e2ed · inbound

Vision-Language Models for Edge Networks: A Comprehensive Survey cites this paper.

Vision-Language Models for Edge Networks: A Comprehensive Survey Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 160

Resolution: unresolved; no resolver link, observed 2026-08-08T12:20:08.774788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aa99b0e-2367-4e52-9ef0-8101cec924f8 · inbound

A Survey on Foundation Models for Personalized Federated Intelligence cites this paper.

A Survey on Foundation Models for Personalized Federated Intelligence Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:34:57.798312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation da6cac04-25d0-47ac-a936-3ad56c881256 · inbound

Recursive Offloading for LLM Serving in Multi-tier Networks cites this paper.

Recursive Offloading for LLM Serving in Multi-tier Networks Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:46.283789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77254819-2497-4158-a7ad-59405ac27342 · inbound

Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits cites this paper.

Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:40:17.024746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dbaea1c-d7a1-46d1-93a5-df58ef8d1890 · inbound

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications cites this paper.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 137

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:57.283582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c20bfcb-e936-4378-9eb5-9aeacf6f0688 · inbound

From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems cites this paper.

From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:42:29.996127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 430eeeb9-1d7d-4025-b1a0-1a0260d3c4ee · inbound

Prompting Wireless Networks: Reinforced In-Context Learning for Power Control cites this paper.

Prompting Wireless Networks: Reinforced In-Context Learning for Power Control Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:02.256580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68a018e9-adca-4875-8ee1-20f5ccecb305 · inbound

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration cites this paper.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.698790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 833439f6-1153-40de-8c05-342148349561 · inbound

PHandover: Parallel Handover in Mobile Satellite Network cites this paper.

PHandover: Parallel Handover in Mobile Satellite Network Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T18:45:38.816526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f637100e-cf21-40f6-8c21-8fd743528b55 · inbound

White paper: Towards Human-centric and Sustainable 6G Services -- the fortiss Research Perspective cites this paper.

White paper: Towards Human-centric and Sustainable 6G Services -- the fortiss Research Perspective Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T17:20:35.662455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02c4c7fc-222b-44dc-b822-898bb1a7acc3 · inbound

RRTO: A High-Performance Transparent Offloading System for Model Inference in Mobile Edge Computing cites this paper.

RRTO: A High-Performance Transparent Offloading System for Model Inference in Mobile Edge Computing Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T12:30:26.218419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db9dbf73-c237-415e-a535-714a5f7730e8 · inbound

Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring cites this paper.

Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T21:14:35.989666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e68eeda1-f9d8-4850-a7e5-c2f12fb57fdd · inbound

Energy-Efficient Wireless LLM Inference via Uncertainty and Importance-Aware Speculative Decoding cites this paper.

Energy-Efficient Wireless LLM Inference via Uncertainty and Importance-Aware Speculative Decoding Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T19:31:39.005967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71e6e476-a898-4c80-ab82-1e8dfb7aa7e9 · inbound

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring cites this paper.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:13.727839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1f6d433-ff36-4f00-92e6-762a67b6d0ee · inbound

MM-Telco: Benchmarks and Multimodal Large Language Models for Telecom Applications cites this paper.

MM-Telco: Benchmarks and Multimodal Large Language Models for Telecom Applications Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:10:22.988343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3d82a2e8-586a-417b-aa5e-aae6911767d5 · inbound

Joint Partitioning and Placement of Foundation Models for Real-Time Edge AI cites this paper.

Joint Partitioning and Placement of Foundation Models for Real-Time Edge AI Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T19:21:36.372302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f85afd9-f6c0-4e88-bd5a-1ee713666eb9 · inbound

Policy-Aware Edge LLM-RAG Framework for Internet of Battlefield Things Mission Orchestration cites this paper.

Policy-Aware Edge LLM-RAG Framework for Internet of Battlefield Things Mission Orchestration Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:31:06.545232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9ccf9c52-76e5-4e69-9fe6-59f4c4124e97 · inbound

PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts cites this paper.

PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:21:10.927186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3f38f0d3-5f53-4daf-ba5c-ce7b9a8302e8 · inbound

PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts cites this paper.

PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T23:33:50.616397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0de923dd-cadd-4b0f-9fcd-cf6372b7bd36 · inbound

Otters++: A Time-to-first-spike Based Energy Efficient Optical Spiking Transformer cites this paper.

Otters++: A Time-to-first-spike Based Energy Efficient Optical Spiking Transformer Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:08:32.810137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.