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Paper Citation Record · LEDGER

Recursive Offloading for LLM Serving in Multi-tier Networks

As of 18 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2505.16502.

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

pith.paper-citation-record.v1
2505.16502 v2

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:03:52.273544Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

73 of 73 outbound references displayed

  • verified exact1
  • verified fuzzy31
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

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

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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source=pdf_text observed=2026-08-07T15:03:45.142503Z digest=sha256:1989cd5d53d3bfba82f93a5e3ce1032c00b49d8daafba586d7be3d8b332e8647

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

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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

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source=pdf_text observed=2026-08-07T15:03:45.329579Z digest=sha256:d2f8587e6262a636544b4b364c102f0f7a11fb10de84c267bdc9fffd9e71d226

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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source=pdf_text observed=2026-08-07T15:03:45.404337Z digest=sha256:7fb91949d0a620d5a85aed85ac66fce7822aacce0796ea94185a1034bfd2ef41

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

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source=pdf_text observed=2026-08-07T15:03:45.458221Z digest=sha256:68a2f9768e8912d530fe7ea814f588887d52d22c0fd5c09325e5b1e200e0cb27

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

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:45.544841Z digest=sha256:06bf538959585b608c0d4f37ec4e9bd70c1a258da0e69a827b6bbc5e70267e6c

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

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source=pdf_text observed=2026-08-07T15:03:45.650559Z digest=sha256:d09405c5c631cd26ada6a54b5be72dde85421086977a264654970f3f7b6f6df7

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

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source=pdf_text observed=2026-08-07T15:03:45.753416Z digest=sha256:eadd626968d00dd70fed0311b64045b603b04f15e17b511ddb96159f0efd03df

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

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source=pdf_text observed=2026-08-07T15:03:45.843711Z digest=sha256:2cc2a6a9441a696b6e479eb17e75ff0932c98d4b877465f43846fe4fb8d12ed3

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

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source=pdf_text observed=2026-08-07T15:03:45.923625Z digest=sha256:62bf9be97bbd46f6050025b742f5020e5de8fea8eb96f830001884a04427bb9a

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

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source=pdf_text observed=2026-08-07T15:03:46.008149Z digest=sha256:fecb65d04b7f1adac28b0b155826a22da2c10d99a64642fb6f4f4e05b9de2887

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

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source=pdf_text observed=2026-08-07T15:03:46.100507Z digest=sha256:3349876bf51c48abcfc38f356321652750b4e544a2a4543d116fa5a043743946

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

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source=pdf_text observed=2026-08-07T15:03:46.208795Z digest=sha256:af35840c8d11f98f47d6132b24138adadf0388d388a58f22d32f9a3dd1762d3b

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

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source=pdf_text observed=2026-08-07T15:03:46.283789Z digest=sha256:9e406a22c93ce491d7e35247b3638a39de251b0f35ae9f280666bff4700849bf

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

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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source=pdf_text observed=2026-08-07T15:03:46.472500Z digest=sha256:948db1f3e88eea5ad307bcf3e312ec7dc36ce826ad6291af6ab6f751a9d6b0c8

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

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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

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source=pdf_text observed=2026-08-07T15:03:46.801880Z digest=sha256:a943f87b213ddb347487f117ab3f739dcd22ac4dbce55d4f4eb49462375e202f

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

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source=pdf_text observed=2026-08-07T15:03:46.912356Z digest=sha256:2270e39ec632b374d046cf73933a53e439f3e231817d7c64f18c1ef4fe1e2158

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

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source=pdf_text observed=2026-08-07T15:03:47.026514Z digest=sha256:8e7da2d68287573c5dec353d630308d6ff7d7bde8354be2c1f9f3268772c1db2

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

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source=pdf_text observed=2026-08-07T15:03:47.230760Z digest=sha256:dd93e7971172c2dff6af451609dd412217275ac75794c87966ac3088018867dd

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

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source=pdf_text observed=2026-08-07T15:03:47.377214Z digest=sha256:54d237d5ecd2f06b27f14139332fe7e593d14b4f43cb6ef1db97f3dc2ee92268

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

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source=pdf_text observed=2026-08-07T15:03:47.505628Z digest=sha256:a47de9a86680af77bd6a8110dc376f4d1273a38d2dc2445b66f93307da230189

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

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:47.669111Z digest=sha256:ce54cd674ac833c5157d38cd9548d022869df7c434c2332c7f69e3a566f28f3f

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

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:47.806170Z digest=sha256:3380acf2c4fe5aec2efcc89d4d4f4672dd01e2aaba2bc9f303eed3720520ffda

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

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local_arxiv, observed 2026-08-07T15:03:52.743891Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:48.046639Z digest=sha256:e88fb76accdc9c4d5359c2708a71a6342978cd567937788b2ad617a2a539ebef

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

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:48.484060Z digest=sha256:fdaf4b6e9cf759c114400382fcd16009588792d2cafa7f5f8a9ef5968504d264

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

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source=pdf_text observed=2026-08-07T15:03:48.628574Z digest=sha256:85b049100bde0c152e4fc6ee92244c66ae97c8a80b42b367562498e5d71f4c7a

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

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source=pdf_text observed=2026-08-07T15:03:48.772333Z digest=sha256:b36aff3f78bc00c1aac30671f8895a43b170582462268bc59f67741d8a6bd63c

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

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:48.886489Z digest=sha256:de4eaef89d175f8d9231f02e635a7a9b7b6beb62bcbdfb3f187e0fbb569fe96a

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

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source=pdf_text observed=2026-08-07T15:03:49.045269Z digest=sha256:7c8c2815dee4071dd9787125308cd0a6ff53dd0a423afc0ad76efd8df984daeb

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:03:49.182037Z digest=sha256:683351c4c2589c97832f183ffdc16e2204951ea002f2bd18628fad9d09b7639b

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

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source=pdf_text observed=2026-08-07T15:03:49.300335Z digest=sha256:fcee77e5ed19b0b60307723e40ddfbc28c81db1d3ec71859065198ca33c39c1b

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:49.392173Z digest=sha256:8787953ca0a6d8851cc29ee31a79ec0db00d47dd7744fb89611db7c9277e5522

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:49.470211Z digest=sha256:9a10a7c80621ecada9b59393cf17535e7b64d8f12ab1b5eec2d444e7802c3299

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:49.550713Z digest=sha256:81a4643a25808d079b811b2908b0d92e4a3f15e2016d2db49640355fa7db486f

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:03:49.730829Z digest=sha256:88179a77a6afd1495c6d7a023e617f603e1bfe1c158e62a87b6e58797a3bd1c2

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:49.812973Z digest=sha256:fbafb4d244cbedfd7440839f039ebae2f792111499b146e6e63b92a624dd3cdd

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:49.895699Z digest=sha256:0f4cabcef1f78389ab560c8c7c9a8aeb7682511f90a72c6d336db27780bbc6d6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:49.977530Z digest=sha256:df138eb94e6b8249fea47db4b154562eb0c017cd1f536b0aac16ef8902a5760c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:50.063646Z digest=sha256:45b6ac3a65a2b7aebc536ef81254d0b1c4938f5a07025dd2ac8d8d29d3c2f44d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:50.161308Z digest=sha256:ca4eb2eb8eaac0125e76a64c681f1402d71950d9b9483c56141971b59d85ee6c

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:50.262501Z digest=sha256:164a61d8ef313dd0642bf35ac657ccedf843531fc0104e7a47f6eca8cc1b5005

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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:03:50.344510Z digest=sha256:31161111aae03b6518096afcefadd5372fb3e82bda91488a5fdf5ad03cb1aa24

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:50.420942Z digest=sha256:c5384b501fe11ef1ed07c40980602e103b84ea7b4679e899fbbdb7c18cb24039

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:50.473051Z digest=sha256:b8e4a4c1f4d3031af405151d5e84ec11d9b13b7878c75c061c983f544dc83522

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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:03:50.529765Z digest=sha256:e013f8c0cdc4ce74b1ecbae2cbf5a603853ca75be99422059b64490ee8d1ef74

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:50.635440Z digest=sha256:970f8ba0bd867da919471cd0d8dfb6fe95d721d4726458ba5a723920861a847e

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:03:50.721809Z digest=sha256:aa475a29766b2007c72275e43b526330fd5052327630673c14417e668c073af5

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:03:50.796322Z digest=sha256:88ad8f736e193c730b0429f1956fb59a0414abdec9808a3b1f2b58333dee2864

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:50.874277Z digest=sha256:d1f1ea8ac4e9592d7b03299f218aabb1e9549ef1256044e04436c334776153b2

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:50.968172Z digest=sha256:9b1e19a89fcb3030bacfad8ac9728119351de653bbb0461f8ae3b2400a100946

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:51.039529Z digest=sha256:d0b4da4eda1e84139530d1b2bc34308c81bb9260c3d6e9fab45bfe9ec4e42d41

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:03:51.107687Z digest=sha256:9167c18167e1cc11e0d821199afb5498b514e042d4e652a848f8ac7a291b17a9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:03:51.183361Z digest=sha256:f29a3d7e0442dd2a04a54cd9b78a45c84081f256753f5b6437421b9597d14279

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:03:51.256940Z digest=sha256:7adeb67d8059c3578b50e0f00a35f773174d286f134daa38aebfc6221d895c41

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:03:51.360812Z digest=sha256:324308286182d5ae059e51431b2a7362d14bc761e2cdaebc7c81e8b1f0ec15cd

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:03:51.435759Z digest=sha256:1d26c666c03679c6b8aa1ef0c1df7ac2e31fed17fa8838e897050824e082c879

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:03:51.520129Z digest=sha256:37944afeec00bc644c235a44f656dd92b758d4fa67f3f79706b4eb65182f13fd

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:03:51.604475Z digest=sha256:c224a77be680415ad4ea48838863cab97648e769676a06025ca1bc13bb513ab3

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:51.710780Z digest=sha256:89580caf41c45f998ac0739b8e4de938917b2abfd107817bbf1b203fcc22650c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:51.810104Z digest=sha256:cd579ccb56c4f549165f59087281868ce6f4e310db34b18ce9f4b5b68860ccd4

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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:03:51.901960Z digest=sha256:3f8750ab2d30f515e18081dec096aeeb01ff3c60203ca2742eb55b84a30f69e5

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

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source=pdf_text observed=2026-08-07T15:03:51.968328Z digest=sha256:b830400b07b902441374c006e8b72e00a1a1b22a56521158a41160bd4655be56

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:52.045842Z digest=sha256:74e72a6a213f7858c991b7e03da13bb0d8fd9b2b10533d410444cdfaa18ecb0b

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:03:52.125851Z digest=sha256:8cf6e28f32443d197a325ba978eb6758d877ab0d60cdb73ca42bbd14c44706a8

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:03:52.186188Z digest=sha256:fe210c678bb904a72c31942c73c585565507f1372ab24b9f5fcec93509b4a518

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:49.645404Z digest=sha256:20ef512b4d28282e756a3efa542bd442a498b1a8480d86c6853c9870bbed9ba5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:03:52.273544Z digest=sha256:870299cd96c6ee4b9db35c9754331cc1f0cbf4a091805e86a418e76fc9087137

Pith citing papers

No inbound Pith citation observations are available.