Paper Citation Record · LEDGER

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks

As of 21 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2505.09214.

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

pith.paper-citation-record.v1
2505.09214 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:43:56.760623Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:13:42.189678Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:13:42.920458Z

Reference resolution

40 of 40 outbound references displayed

verified exact0
verified fuzzy33
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd7b82f1-aff2-4047-ada7-ffec551a78e4 · outbound

This paper cites Large generative AI models for telecom: The next big thing?,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Large generative AI models for telecom: The next big thing?,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.324278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 28e44157-f13e-44af-be13-79d0f0a81045 · outbound

This paper cites LAMBO: Large AI model empowered edge intelligence,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks LAMBO: Large AI model empowered edge intelligence,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.310906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 14cda8ba-1ea3-4c06-a463-028dfb8f6b88 · outbound

This paper cites GPT-4 Technical Report.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks GPT-4 Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T21:43:56.603172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5a075c2-5ba7-45cf-9af0-526dbba9f38a · outbound

This paper cites Fine-Tuning and Deploying Large Language Models Over Edges: Issues and Approaches.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Fine-Tuning and Deploying Large Language Models Over Edges: Issues and Approaches

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T21:43:56.607858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b23494e3-ffc8-4246-b0cf-be4ed90acc82 · outbound

This paper cites M\'elange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks M\'elange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:43:56.613311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 346608d8-b27d-4910-8a41-1ad59afb07d8 · outbound

This paper cites Distributed learning in wireless networks: rec ent progress and future challenges,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Distributed learning in wireless networks: rec ent progress and future challenges,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.297635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ad000950-a4fe-4c3a-9380-f22f63fad413 · outbound

This paper cites Large language model (LLM) for telecommunications: A comprehens ive survey on principles, key techniques, and opportunities,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Large language model (LLM) for telecommunications: A comprehens ive survey on principles, key techniques, and opportunities,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.283291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 72a1c274-4336-4abb-97f0-922c11bacb98 · outbound

This paper cites Edge artiﬁcial int elligence for 6G: Vision, enabling technologies, and applications,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Edge artiﬁcial int elligence for 6G: Vision, enabling technologies, and applications,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.269022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 05964a1f-c28c-4ef1-8dbf-d8e387727707 · outbound

This paper cites EdgeMoE: Empowering sparse large language models on mobile devices,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks EdgeMoE: Empowering sparse large language models on mobile devices,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.256132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 75c263d8-c8fe-4f50-8553-a48b923d0abb · outbound

This paper cites LiteMoE: Custom izing on- device LLM serving via proxy submodel tuning,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks LiteMoE: Custom izing on- device LLM serving via proxy submodel tuning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.241316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e595412d-f11a-490b-b47b-7ee99e9882e4 · outbound

This paper cites Fastertransformer,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Fastertransformer,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.227974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b37144b5-2719-45d5-bf19-386aa0068ab1 · outbound

This paper cites Pushing AI to wireless network edge: An overview on integra ted sensing, communication, and computation towards 6G,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Pushing AI to wireless network edge: An overview on integra ted sensing, communication, and computation towards 6G,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.215218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 65caa166-eaf6-43b6-afaf-28fb5630ae99 · outbound

This paper cites AI empowered wireless communications: From bits to semantics ,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks AI empowered wireless communications: From bits to semantics ,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.202068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 54856d23-6474-42cb-9b3b-72640485300e · outbound

This paper cites Nonlinear transform source-channel coding for semantic communicati ons,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Nonlinear transform source-channel coding for semantic communicati ons,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.188864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 98664adf-0473-4888-94a1-20dc8e1cc8ad · outbound

This paper cites Semantic communications for wireless sensing: RIS-aided encoding and self-supervised decoding,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Semantic communications for wireless sensing: RIS-aided encoding and self-supervised decoding,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.175741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ebd99127-318d-47e9-93c9-273ccdb79dad · outbound

This paper cites Task-oriented communica tion for multi- device cooperative edge inference,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Task-oriented communica tion for multi- device cooperative edge inference,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.162454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4651be83-5e09-4dfc-a413-9a6d6d5ffee1 · outbound

This paper cites Goal- oriented semantic communications for 6G networks,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Goal- oriented semantic communications for 6G networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.149131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 709464e9-9ae0-4a22-9fc9-4c1922ecb0db · outbound

This paper cites Semantic communi cations for image recovery and classiﬁcation via deep joint source a nd channel coding,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Semantic communi cations for image recovery and classiﬁcation via deep joint source a nd channel coding,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.135733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 978ee5b4-7d29-41b7-9a7a-b037b924b5d3 · outbound

This paper cites A Survey on collaborative DNN inference for edge intelligence,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks A Survey on collaborative DNN inference for edge intelligence,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.122465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 52f7d2c6-3abd-4da4-80e3-0cbcfd4be4bd · outbound

This paper cites Edge AI: On-demand a cceler- ating deep neural network inference via edge computing,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Edge AI: On-demand a cceler- ating deep neural network inference via edge computing,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.109740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a70c7241-2146-4a5b-9196-3bd6a4c3d01d · outbound

This paper cites Optimal model placemen t and online model splitting for device-edge co-inference,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Optimal model placemen t and online model splitting for device-edge co-inference,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.095929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 12f187ad-c277-4ec3-9baa-7630b5681251 · outbound

This paper cites Imp roving device-edge cooperative inference of deep learning via 2-s tep pruning,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Imp roving device-edge cooperative inference of deep learning via 2-s tep pruning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.082350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7ac8e4f6-afae-4f2e-ba23-5894c1ff9cf9 · outbound

This paper cites Resource allocation for mu ltiuser edge inference with batching and early exiting,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Resource allocation for mu ltiuser edge inference with batching and early exiting,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.069371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aaa9bd9d-d2e4-4208-a7b4-6f3ed858ab98 · outbound

This paper cites Private collab- orative edge inference via over-the-air computation,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Private collab- orative edge inference via over-the-air computation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.056040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8f9ed663-9bdc-4970-aabf-93f90867f34f · outbound

This paper cites Large language m odels (LLMs) inference ofﬂoading and resource allocation in clou d-edge com- puting: An active inference approach,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Large language m odels (LLMs) inference ofﬂoading and resource allocation in clou d-edge com- puting: An active inference approach,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.042765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cd154b91-1846-4db4-a561-5132ecb2cf5b · outbound

This paper cites Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T21:43:56.700783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3619cabc-515e-4763-a9a8-7821d0ffc3e9 · outbound

This paper cites Uncertainty-Aware Hybrid Inference with On-Device Small and Remote Large Language Models.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Uncertainty-Aware Hybrid Inference with On-Device Small and Remote Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T21:43:56.705132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fae9f76-9554-4afb-9b2c-f1ea3cab658f · outbound

This paper cites EdgeShar d: Efﬁcient LLM inference via collaborative edge computing,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks EdgeShar d: Efﬁcient LLM inference via collaborative edge computing,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.029064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ab286839-b9e6-4ad7-b8b9-e912694e5e43 · outbound

This paper cites An Information-theore tic justiﬁcation for model pruning,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks An Information-theore tic justiﬁcation for model pruning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.016137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2146e7bf-8bed-42e4-a2a7-f465c9ea085b · outbound

This paper cites Why random pruni ng is all we need to start sparse,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Why random pruni ng is all we need to start sparse,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:57.003053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b3641967-d344-4671-a052-3a0c5989226b · outbound

This paper cites Layer-adapti ve sparsity for the magnitude-based pruning,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Layer-adapti ve sparsity for the magnitude-based pruning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:56.989291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b41b6c78-d340-44fa-8909-7d67dd485a80 · outbound

This paper cites SmoothQuant: Accurate and efﬁcient post-training quanti zation for large language models,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks SmoothQuant: Accurate and efﬁcient post-training quanti zation for large language models,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:56.975499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9bb84449-9861-4855-b5d6-5c8a7a2a86b5 · outbound

This paper cites MiniLLM: Knowledge distillation of large language models.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks MiniLLM: Knowledge distillation of large language models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:56.960605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cb953641-1779-4f1a-bbed-8906ea517ed6 · outbound

This paper cites Berger, Rate-distortion theory, Wiley Encyclopedia of Telecommuni- cations, 2003.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Berger, Rate-distortion theory, Wiley Encyclopedia of Telecommuni- cations, 2003

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:56.945618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6ac59659-cfd9-4a5f-8e71-8a1fa9b459d6 · outbound

This paper cites On the multivaria te Laplace distribution,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks On the multivaria te Laplace distribution,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:56.932199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 83b3a2c4-b08e-4728-aa00-12abdb25eb89 · outbound

This paper cites BERT: Pre -training of deep bidirectional transformers for language understan ding,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks BERT: Pre -training of deep bidirectional transformers for language understan ding,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:56.917960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4c0ecea2-5391-4e1a-848c-5b35e5c8f10a · outbound

This paper cites BART: Denoising seq uence- to-sequence pre-training for natural language generation , translation, and comprehension,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks BART: Denoising seq uence- to-sequence pre-training for natural language generation , translation, and comprehension,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:56.904243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2d6b32ae-f9fd-4f8e-a68b-895b9487de7c · outbound

This paper cites Get To The Point: Summarization with Pointer-Generator Networks.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Get To The Point: Summarization with Pointer-Generator Networks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T21:43:56.751349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9465252-c7c1-450f-b0b6-e9f4c9c7be54 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T21:43:56.756397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cbe0068-8886-4da3-9b6d-79ad0e3c88b2 · outbound

This paper cites R ethinking resource management in edge learning: A joint pre-training and ﬁne- tuning design paradigm,.

The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks R ethinking resource management in edge learning: A joint pre-training and ﬁne- tuning design paradigm,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:43:56.890242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation bc328793-bf6d-409b-80ab-fa7bbf7389aa · inbound

Empowering Intelligent Low-altitude Economy with Large AI Model Deployment cites this paper.

Empowering Intelligent Low-altitude Economy with Large AI Model Deployment The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks

Reference 2025

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T13:13:42.974242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.