Recursive Offloading for LLM Serving in Multi-tier Networks | Paper Citation Record

Observation aa7fe6c9-320f-4388-9a05-fe9051103818 · outbound

This paper cites A survey on end- edge-cloud orchestrated network computing paradigms: Transparent computing, mobile edge computing, fog computing, and cloudlet,.

Recursive Offloading for LLM Serving in Multi-tier Networks A survey on end- edge-cloud orchestrated network computing paradigms: Transparent computing, mobile edge computing, fog computing, and cloudlet,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:59.295812Z

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

Observation f77921d4-2656-419c-ae18-8088998682bc · outbound

This paper cites Dis- tributed artificial intelligence empowered by end-edge-cloud computing: A survey,.

Recursive Offloading for LLM Serving in Multi-tier Networks Dis- tributed artificial intelligence empowered by end-edge-cloud computing: A survey,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:45.142503Z

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Observation 3f215ae8-c10f-47f0-923d-c294348d0682 · outbound

This paper cites End-edge-cloud collaborative computing for deep learning: A comprehensive survey,.

Recursive Offloading for LLM Serving in Multi-tier Networks End-edge-cloud collaborative computing for deep learning: A comprehensive survey,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:59.163826Z

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

Observation eb72d876-72d2-4dc2-a707-d1dc6bf31405 · outbound

This paper cites Language models are unsupervised multitask learners,.

Recursive Offloading for LLM Serving in Multi-tier Networks Language models are unsupervised multitask learners,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:45.329579Z

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Observation ab2a75da-8b60-4eeb-9ac5-b1a4cfe143c6 · outbound

This paper cites Attention is all you need,.

Recursive Offloading for LLM Serving in Multi-tier Networks Attention is all you need,

Reference 5

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Observation bcfca86d-27ec-48fa-b918-ad18c20ff31c · outbound

This paper cites A Comprehensive Overview of Large Language Models.

Recursive Offloading for LLM Serving in Multi-tier Networks A Comprehensive Overview of Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:45.458221Z

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Observation a01ef14f-811c-4325-8f3d-8e9ea054bc51 · outbound

This paper cites Gpt-3.5 turbo: Legacy gpt model for cheaper chat and non-chat tasks,.

Recursive Offloading for LLM Serving in Multi-tier Networks Gpt-3.5 turbo: Legacy gpt model for cheaper chat and non-chat tasks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:59.006806Z

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

Observation 25230337-a15e-4a4e-acb9-bca39da67ce4 · outbound

This paper cites Language mod- els are few-shot learners,.

Recursive Offloading for LLM Serving in Multi-tier Networks Language mod- els are few-shot learners,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:45.650559Z

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Observation f7a38dc9-0d01-4778-b9eb-0644d69bbbc3 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Recursive Offloading for LLM Serving in Multi-tier Networks DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:45.753416Z

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Observation 2ed8bc71-5a54-4795-8ad1-fad87f664103 · outbound

This paper cites Mobilellm: Optimizing sub- billion parameter language models for on-device use cases,.

Recursive Offloading for LLM Serving in Multi-tier Networks Mobilellm: Optimizing sub- billion parameter language models for on-device use cases,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:45.843711Z

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Observation b2317f5c-7ad2-4377-9116-c5637ac4b1b8 · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

Recursive Offloading for LLM Serving in Multi-tier Networks MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:45.923625Z

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Observation d6eb5a5f-1d98-488f-928c-956135fe1f98 · outbound

This paper cites {ServerlessLLM}:{Low-Latency}serverless inference for large language models,.

Recursive Offloading for LLM Serving in Multi-tier Networks {ServerlessLLM}:{Low-Latency}serverless inference for large language models,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:46.008149Z

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Unavailable: canonical work link unavailable.

Observation 1b5dddea-3ba0-4b48-badf-7f62bda68647 · outbound

This paper cites {DistServe}: Disaggregating prefill and decoding for goodput-optimized large language model serving,.

Recursive Offloading for LLM Serving in Multi-tier Networks {DistServe}: Disaggregating prefill and decoding for goodput-optimized large language model serving,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:46.100507Z

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Observation 73a11d3a-22f3-458f-a75f-e2a7bb9bc1d9 · outbound

This paper cites PerLLM: Personalized Inference Scheduling with Edge-Cloud Collaboration for Diverse LLM Services.

Recursive Offloading for LLM Serving in Multi-tier Networks PerLLM: Personalized Inference Scheduling with Edge-Cloud Collaboration for Diverse LLM Services

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:46.208795Z

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

This paper cites Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities.

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

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Observation 6766779f-6476-4dfd-865d-f41dc0b30e16 · outbound

This paper cites Efficient inference with model cascades,.

Recursive Offloading for LLM Serving in Multi-tier Networks Efficient inference with model cascades,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:58.861224Z

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 fe9a6b1a-9ace-4529-9776-56d122b8a1f2 · outbound

This paper cites Qwen2.5 Technical Report.

Recursive Offloading for LLM Serving in Multi-tier Networks Qwen2.5 Technical Report

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:46.472500Z

Source-reported events for the cited work

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Observation fb86c9cc-4413-474c-a201-d1c08b9af139 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

Recursive Offloading for LLM Serving in Multi-tier Networks Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:46.665289Z

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Unavailable: canonical work link unavailable.

Observation c4cfdc39-7d1f-4288-9907-06ee40cbe904 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Recursive Offloading for LLM Serving in Multi-tier Networks RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:46.801880Z

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Observation ea9eb830-3b46-439f-9401-9b178ed6583c · outbound

This paper cites Improving language understanding by generative pre-training,.

Recursive Offloading for LLM Serving in Multi-tier Networks Improving language understanding by generative pre-training,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:46.912356Z

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Observation 58c05c6f-8467-457d-8f09-7d207f627d5f · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Recursive Offloading for LLM Serving in Multi-tier Networks Lora: Low-rank adaptation of large language models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:47.026514Z

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Observation e5626681-1294-465b-8b1a-5b59e0c4209d · outbound

This paper cites Parameter-efficient transfer learning for nlp,.

Recursive Offloading for LLM Serving in Multi-tier Networks Parameter-efficient transfer learning for nlp,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:47.230760Z

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Observation 12341310-0a32-45ad-85de-817700fec943 · outbound

This paper cites Training language models to follow instructions with human feedback,.

Recursive Offloading for LLM Serving in Multi-tier Networks Training language models to follow instructions with human feedback,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:47.377214Z

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Observation 1c220965-1093-49be-b32d-13a34c0f0198 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

Recursive Offloading for LLM Serving in Multi-tier Networks Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:47.505628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5649af48-5e9d-4231-9b66-fd765b631585 · outbound

This paper cites Dis- tributed artificial intelligence empowered by end-edge-cloud computing: A survey,.

Recursive Offloading for LLM Serving in Multi-tier Networks Dis- tributed artificial intelligence empowered by end-edge-cloud computing: A survey,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:58.634111Z

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 8b4bfa50-169f-45f8-b423-e042506f7d05 · outbound

This paper cites Hierarchical federated learning with momentum acceleration in multi-tier networks,.

Recursive Offloading for LLM Serving in Multi-tier Networks Hierarchical federated learning with momentum acceleration in multi-tier networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:58.548740Z

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 24ca8780-8122-4a60-a889-70b24090a5d2 · outbound

This paper cites Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration.

Recursive Offloading for LLM Serving in Multi-tier Networks Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:03:52.743891Z

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 7498f6e8-89f6-47e5-ab55-939469e442b5 · outbound

This paper cites Edge computing: Vision and challenges,.

Recursive Offloading for LLM Serving in Multi-tier Networks Edge computing: Vision and challenges,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:58.405051Z

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 d79cd0c6-d67b-4ac0-b065-fef664d5da20 · outbound

This paper cites Agglomerative federated learning: Empowering larger model training via end-edge-cloud collaboration,.

Recursive Offloading for LLM Serving in Multi-tier Networks Agglomerative federated learning: Empowering larger model training via end-edge-cloud collaboration,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:58.225478Z

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 d5acd8c2-7037-4179-90c3-8c00e1c28528 · outbound

This paper cites A survey on task offloading in multi-access edge computing,.

Recursive Offloading for LLM Serving in Multi-tier Networks A survey on task offloading in multi-access edge computing,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:58.079500Z

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 f3e0427c-0e76-44b0-a227-a11d7b708806 · outbound

This paper cites Task offloading in edge and cloud computing: A survey on mathe- matical, artificial intelligence and control theory solutions,.

Recursive Offloading for LLM Serving in Multi-tier Networks Task offloading in edge and cloud computing: A survey on mathe- matical, artificial intelligence and control theory solutions,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:57.957436Z

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 7c44ead7-ea88-496d-9950-d349e5850307 · outbound

This paper cites Task offloading strategies for mobile edge computing: A survey,.

Recursive Offloading for LLM Serving in Multi-tier Networks Task offloading strategies for mobile edge computing: A survey,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:48.628574Z

Source-reported events for the cited work

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Observation e028b19b-8c6a-47f9-ab94-6996b5cbd4db · outbound

This paper cites Understanding Softmax Confidence and Uncertainty.

Recursive Offloading for LLM Serving in Multi-tier Networks Understanding Softmax Confidence and Uncertainty

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:48.772333Z

Source-reported events for the cited work

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Observation 50ff5842-17b7-4718-ad52-89b3239ddd89 · outbound

This paper cites Learning word vectors for sentiment analysis,.

Recursive Offloading for LLM Serving in Multi-tier Networks Learning word vectors for sentiment analysis,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:57.794122Z

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 a41db557-4579-4c35-b173-7ca3378f78da · outbound

This paper cites Recursive deep models for semantic compositionality over a sentiment treebank,.

Recursive Offloading for LLM Serving in Multi-tier Networks Recursive deep models for semantic compositionality over a sentiment treebank,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:49.045269Z

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Unavailable: canonical work link unavailable.

Observation d086e3e3-30b7-409b-9f25-e592378d824b · outbound

This paper cites Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales.

Recursive Offloading for LLM Serving in Multi-tier Networks Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:49.182037Z

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Unavailable: canonical work link unavailable.

Observation 2d962a16-7adf-464c-8e15-e38b2f908de3 · outbound

This paper cites Character-level convolutional net- works for text classification,.

Recursive Offloading for LLM Serving in Multi-tier Networks Character-level convolutional net- works for text classification,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:49.300335Z

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Observation 644c1433-3904-42d3-80d2-597d9476ef17 · outbound

This paper cites Findings of the 2016 conference on machine translation (wmt16),.

Recursive Offloading for LLM Serving in Multi-tier Networks Findings of the 2016 conference on machine translation (wmt16),

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:57.639659Z

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 c810788b-214c-4344-a706-30a0963994ed · outbound

This paper cites Findings of the 2019 conference on machine translation (wmt19).

Recursive Offloading for LLM Serving in Multi-tier Networks Findings of the 2019 conference on machine translation (wmt19)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:57.457477Z

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

Observation 76359dcb-60c3-476c-9878-d0486ec53186 · outbound

This paper cites Parallel data, tools and interfaces in opus.

Recursive Offloading for LLM Serving in Multi-tier Networks Parallel data, tools and interfaces in opus

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:57.330586Z

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 b17ff19c-a4e9-4a96-924d-b442082e52eb · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Recursive Offloading for LLM Serving in Multi-tier Networks DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:49.730829Z

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Observation abfb892a-ec6a-4c3c-a302-cd7c306b8f78 · outbound

This paper cites azizbarank/distilroberta-base-sst2-distilled,.

Recursive Offloading for LLM Serving in Multi-tier Networks azizbarank/distilroberta-base-sst2-distilled,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:57.009408Z

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 faa6c4e7-a457-4519-9e99-ed4aa3f18813 · outbound

This paper cites textattack/roberta-base-sst-2,.

Recursive Offloading for LLM Serving in Multi-tier Networks textattack/roberta-base-sst-2,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:56.742490Z

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 f83a1f93-6742-4685-86a2-ffb062d6c35f · outbound

This paper cites howey/roberta-large-sst2,.

Recursive Offloading for LLM Serving in Multi-tier Networks howey/roberta-large-sst2,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:56.463202Z

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 9c9cfada-9f57-42cf-98db-346ebbcd0df3 · outbound

This paper cites Sebis/legal t5 small trans de en small finetuned,.

Recursive Offloading for LLM Serving in Multi-tier Networks Sebis/legal t5 small trans de en small finetuned,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:56.366919Z

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 b54a5b9f-2c17-40fc-99ef-6c359ad4ba0c · outbound

This paper cites Opus-mt–building open translation services for the world,.

Recursive Offloading for LLM Serving in Multi-tier Networks Opus-mt–building open translation services for the world,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:56.108407Z

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 9292c553-dba2-423e-98de-40d047a6e4f1 · outbound

This paper cites Pontifexmaximus/opus-mt-de-en-finetuned-de-to- en,.

Recursive Offloading for LLM Serving in Multi-tier Networks Pontifexmaximus/opus-mt-de-en-finetuned-de-to- en,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:55.888601Z

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 e857de65-69ad-4263-bc05-f6268e0d4b55 · outbound

This paper cites Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation.

Recursive Offloading for LLM Serving in Multi-tier Networks Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:50.344510Z

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Unavailable: canonical work link unavailable.

Observation 4765dce9-ccd9-41b7-aa69-89c984321c81 · outbound

This paper cites allenai/wmt19-de-en-6-6-big,.

Recursive Offloading for LLM Serving in Multi-tier Networks allenai/wmt19-de-en-6-6-big,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:55.739142Z

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 b6183f22-00e6-4fe2-8953-06717bf382c4 · outbound

This paper cites Gemel: Model merging for {Memory-Efficient},{Real-Time}video analytics at the edge,.

Recursive Offloading for LLM Serving in Multi-tier Networks Gemel: Model merging for {Memory-Efficient},{Real-Time}video analytics at the edge,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:55.514483Z

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 d1c3d795-ab01-44e4-89d7-028df13f9543 · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.

Recursive Offloading for LLM Serving in Multi-tier Networks DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:50.529765Z

Source-reported events for the cited work

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Observation 05c6f0af-f7d8-4661-9b62-3ae1d5606e2f · outbound

This paper cites Tomor0720/deberta-large-finetuned-sst2,.

Recursive Offloading for LLM Serving in Multi-tier Networks Tomor0720/deberta-large-finetuned-sst2,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:55.429155Z

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 e86dc02c-bc97-4a77-9ec9-436605c31069 · outbound

This paper cites GPT-4 Technical Report.

Recursive Offloading for LLM Serving in Multi-tier Networks GPT-4 Technical Report

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:50.721809Z

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Observation d5d12da1-b643-48a1-9c95-66f896bba4b2 · outbound

This paper cites Putting gpt-4o to the sword: A comprehensive evaluation of language, vision, speech, and multimodal proficiency,.

Recursive Offloading for LLM Serving in Multi-tier Networks Putting gpt-4o to the sword: A comprehensive evaluation of language, vision, speech, and multimodal proficiency,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:50.796322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbf8a3ca-0a4f-473d-880c-27067a4db531 · outbound

This paper cites The Claude 3 Model Family: Opus, Sonnet, Haiku,.

Recursive Offloading for LLM Serving in Multi-tier Networks The Claude 3 Model Family: Opus, Sonnet, Haiku,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:55.111327Z

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 5854e7ee-e521-4dff-95e9-96367edc2c60 · outbound

This paper cites Claude 3-5 sonnet,.

Recursive Offloading for LLM Serving in Multi-tier Networks Claude 3-5 sonnet,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:54.762321Z

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 cca37d4c-788b-44c7-a2e9-801bb86db430 · outbound

This paper cites Claude 3.7 sonnet and claude code,.

Recursive Offloading for LLM Serving in Multi-tier Networks Claude 3.7 sonnet and claude code,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:54.450330Z

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 d8ba2b18-6304-48f0-bf8e-23f17f8cbaba · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Recursive Offloading for LLM Serving in Multi-tier Networks LLaMA: Open and Efficient Foundation Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:51.107687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b94d8ab-70a8-4f73-bd57-255881fb89c5 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Recursive Offloading for LLM Serving in Multi-tier Networks Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:51.183361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e501c481-cb94-45b0-9066-3f23633dc684 · outbound

This paper cites The Llama 3 Herd of Models.

Recursive Offloading for LLM Serving in Multi-tier Networks The Llama 3 Herd of Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:51.256940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9462e46a-9ba2-4910-b1f4-b9eb2df5a1ab · outbound

This paper cites Qwen Technical Report.

Recursive Offloading for LLM Serving in Multi-tier Networks Qwen Technical Report

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:51.360812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ee98247-1b6a-4d6a-8084-0fd014632580 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Recursive Offloading for LLM Serving in Multi-tier Networks Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:51.435759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc962322-2ba3-459b-a789-cfcb3b29694f · outbound

This paper cites Qwen2.5-VL Technical Report.

Recursive Offloading for LLM Serving in Multi-tier Networks Qwen2.5-VL Technical Report

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:51.520129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adb9f63f-b204-4a52-b8ed-c4647ff9b2ba · outbound

This paper cites Efficient memory management for large language model serving with pagedattention,.

Recursive Offloading for LLM Serving in Multi-tier Networks Efficient memory management for large language model serving with pagedattention,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:51.604475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e7b4652-3994-40c7-9abe-4ca620038cee · outbound

This paper cites Cachegen: Kv cache compression and streaming for fast large language model serving,.

Recursive Offloading for LLM Serving in Multi-tier Networks Cachegen: Kv cache compression and streaming for fast large language model serving,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:54.209398Z

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 cd4f0e96-b6b5-4ba1-aa84-3a8179b0922f · outbound

This paper cites Adainf: Data drift adaptive scheduling for accurate and slo-guaranteed multiple-model inference serving at edge servers,.

Recursive Offloading for LLM Serving in Multi-tier Networks Adainf: Data drift adaptive scheduling for accurate and slo-guaranteed multiple-model inference serving at edge servers,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:53.821441Z

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 4fe8b1ef-c62d-48d2-8650-553ec3a0855d · outbound

This paper cites Edgeshard: Efficient llm inference via collaborative edge computing,.

Recursive Offloading for LLM Serving in Multi-tier Networks Edgeshard: Efficient llm inference via collaborative edge computing,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:51.901960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c7e2b42-09b1-4672-8340-663fd9cfb39d · outbound

This paper cites Split computing and early exiting for deep learning applications: Survey and research challenges,.

Recursive Offloading for LLM Serving in Multi-tier Networks Split computing and early exiting for deep learning applications: Survey and research challenges,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:51.968328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c50d12ed-c54a-421a-9e63-e26fc72b7154 · outbound

This paper cites Dis- tributed inference acceleration with adaptive dnn partitioning and of- floading,.

Recursive Offloading for LLM Serving in Multi-tier Networks Dis- tributed inference acceleration with adaptive dnn partitioning and of- floading,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:53.468802Z

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 e66fac22-0b0a-440f-a0d2-c7a7eeb044e9 · outbound

This paper cites Mandheling: Mixed-precision on-device dnn training with dsp offloading,.

Recursive Offloading for LLM Serving in Multi-tier Networks Mandheling: Mixed-precision on-device dnn training with dsp offloading,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:52.125851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cc82a1b-c19a-45d0-89b6-ae7e0ea360c1 · outbound

This paper cites InstInfer: In-Storage Attention Offloading for Cost-Effective Long-Context LLM Inference.

Recursive Offloading for LLM Serving in Multi-tier Networks InstInfer: In-Storage Attention Offloading for Cost-Effective Long-Context LLM Inference

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:52.186188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e56c931-8188-465b-b194-e9f95a871d55 · outbound

This paper cites 2214–2218.

Recursive Offloading for LLM Serving in Multi-tier Networks 2214–2218

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:57.110516Z

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 0b2908a0-dcd3-44e7-8f4b-0bc1549d2200 · outbound

This paper cites He was a Visiting Researcher with the School of Com- puting and Communications at Lancaster University, Lancaster, UK from 2018 to 2019.

Recursive Offloading for LLM Serving in Multi-tier Networks He was a Visiting Researcher with the School of Com- puting and Communications at Lancaster University, Lancaster, UK from 2018 to 2019

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:53.133444Z

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.

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Reference resolution

Outbound references

Pith citing papers