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Paper Citation Record · LEDGER

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration

As of 19 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2505.14085.

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

pith.paper-citation-record.v1
2505.14085 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:23.582268Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

36 of 36 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c86273b6-479b-4f88-b177-5d17cecd19d0 · outbound

This paper cites 6g wireless communication systems: Applications, requirements, technolo- gies, challenges, and research directions,.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration 6g wireless communication systems: Applications, requirements, technolo- gies, challenges, and research directions,

Reference 1

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Observation 3a715e3e-690f-4f32-997b-9cf3b6109eb0 · outbound

This paper cites White Paper on Broadband Connectivity in 6G.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration White Paper on Broadband Connectivity in 6G

Reference 2

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Observation 11bedb4e-9721-4d3d-ab78-bd7c0e58505f · outbound

This paper cites Ai-native network slicing for 6g networks,.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Ai-native network slicing for 6g networks,

Reference 3

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8ae12871-c2b9-44fc-a741-3ef16b254497 · outbound

This paper cites Towards 6g wireless communication networks: Vision, enabling technologies, and new paradigm shifts,.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Towards 6g wireless communication networks: Vision, enabling technologies, and new paradigm shifts,

Reference 4

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3aaa0cb3-ba2d-4600-bde1-edcc9012da77 · outbound

This paper cites Optimizing llm inference clusters for enhanced performance and energy efficiency,.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Optimizing llm inference clusters for enhanced performance and energy efficiency,

Reference 5

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Observation baca5998-54b7-4d72-ad0a-dd51c56179a4 · outbound

This paper cites Performance modeling and workload analysis of dis- tributed large language model training and inference,.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Performance modeling and workload analysis of dis- tributed large language model training and inference,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 171f39d0-57f8-4d81-b5ed-c4e50d2e374b · outbound

This paper cites Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters,.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters,

Reference 7

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3cffd5d7-2ef3-4502-84bf-5bfca4a043d6 · outbound

This paper cites Reducing activation recomputation in large transformer models,.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Reducing activation recomputation in large transformer models,

Reference 8

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Observation f5aed8f0-a8e7-435c-8072-a37046d6fe4c · outbound

This paper cites Efficient large-scale language model training on gpu clusters using megatron-lm,.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Efficient large-scale language model training on gpu clusters using megatron-lm,

Reference 9

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Observation 2252d4ab-9b9f-4f5d-ab01-f409ad64ac1e · outbound

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

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Efficient memory management for large language model serving with pagedattention,

Reference 10

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Observation 83d66fd5-4371-4bd0-b743-0b6af6ac3726 · outbound

This paper cites RelayAttention for Efficient Large Language Model Serving with Long System Prompts.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration RelayAttention for Efficient Large Language Model Serving with Long System Prompts

Reference 11

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Observation 4db954af-3db0-403d-8890-0f273a857ee4 · outbound

This paper cites Prompt cache: Modular attention reuse for low-latency inference,.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Prompt cache: Modular attention reuse for low-latency inference,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ece9a834-b1c9-4f7d-a5cb-c5cd559267ec · outbound

This paper cites Model pruning enables efficient federated learning on edge devices,.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Model pruning enables efficient federated learning on edge devices,

Reference 13

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 94330cc7-8d05-49a8-8d41-dbe980d5b3e6 · outbound

This paper cites EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting

Reference 14

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Observation 5614e127-983e-4639-b28f-1dc4facfd617 · outbound

This paper cites Optimizing mobile-edge ai-generated everything (aigx) services by prompt engineering: Fundamental, framework, and case study,.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Optimizing mobile-edge ai-generated everything (aigx) services by prompt engineering: Fundamental, framework, and case study,

Reference 15

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9d0856ff-9b02-4b2d-80a0-05f524d75af0 · outbound

This paper cites CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration

Reference 16

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Observation c6e991f7-3307-4c1a-9155-e0b38881e6c1 · outbound

This paper cites Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache

Reference 17

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Observation e009fbe8-b573-4466-92ef-600fb12c5026 · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models,.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Zero: Memory optimizations toward training trillion parameter models,

Reference 18

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Observation 6b6e9b1d-0818-485e-b782-db74ee69e692 · outbound

This paper cites LLM-Pruner: On the Structural Pruning of Large Language Models.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 19

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Observation c59d05b9-46f2-4c8f-9be7-de32966817b3 · outbound

This paper cites SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot

Reference 20

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Observation a5d6b63f-1400-4643-a2f9-df03bc2f9948 · outbound

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

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Cachegen: Kv cache compression and streaming for fast large language model serving,

Reference 21

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Observation cb0bdeff-ff8b-439d-9382-c80aa88a7e44 · outbound

This paper cites KVSharer: Efficient Inference via Layer-Wise Dissimilar KV Cache Sharing.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration KVSharer: Efficient Inference via Layer-Wise Dissimilar KV Cache Sharing

Reference 22

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Observation 9f5775f5-be36-4c5c-9531-eba11776302d · outbound

This paper cites Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference

Reference 23

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Observation cfcd4484-3cb2-4f0a-8378-cbbd363a2109 · outbound

This paper cites Model tells you what to discard: Adaptive kv cache compression for llms,.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Model tells you what to discard: Adaptive kv cache compression for llms,

Reference 24

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Observation 6d872b2c-9fbb-48cc-aec1-fa9723b252f4 · outbound

This paper cites Netgpt: An ai-native network architecture for provisioning beyond personalized generative services,.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Netgpt: An ai-native network architecture for provisioning beyond personalized generative services,

Reference 25

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a974abcd-187d-46b9-9315-854d348d651f · outbound

This paper cites Compute Or Load KV Cache? Why Not Both?.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Compute Or Load KV Cache? Why Not Both?

Reference 26

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Observation d64e7a03-6e3a-4b0d-90ca-73cfd009e03b · outbound

This paper cites {OSCA}: An{Online-Model}based cache allocation scheme in cloud block storage systems,.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration {OSCA}: An{Online-Model}based cache allocation scheme in cloud block storage systems,

Reference 27

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9278466e-630c-4ef2-beb6-d14d133d7670 · outbound

This paper cites Similarity of neural network models: A survey of functional and representational measures,.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Similarity of neural network models: A survey of functional and representational measures,

Reference 28

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source=pdf_text observed=2026-08-07T15:42:22.690741Z digest=sha256:2fbbd51a9636e900bf2aa627c7bb7e6770d8e98bccde04916d634f0f32f32430

Observation 2972a50a-33da-4f1c-a58f-be2f92ce2e4c · outbound

This paper cites ThinK: Thinner Key Cache by Query-Driven Pruning.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration ThinK: Thinner Key Cache by Query-Driven Pruning

Reference 30

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Observation 9f91f44f-fe55-4ee4-8225-5ed1061ea45e · outbound

This paper cites A Survey of Large Language Models.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration A Survey of Large Language Models

Reference 31

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Observation f2d31dae-3178-4f20-bd3b-9b124471e737 · outbound

This paper cites Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

Reference 32

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Observation e72d29dd-9468-4454-bdb9-2060b6317fcc · outbound

This paper cites Aligning ai with shared human values,.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Aligning ai with shared human values,

Reference 33

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e423a7f1-e62a-48d2-961a-bf5cf2914e95 · outbound

This paper cites an unresolved cited work.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Unresolved cited work

Reference 35

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Observation 3c155ec4-fc16-4007-a30a-75c7b896324c · outbound

This paper cites After applying an orthogonal trans- formation, it becomes: Oc =O eQ(26) whereQ T Q=I.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration After applying an orthogonal trans- formation, it becomes: Oc =O eQ(26) whereQ T Q=I

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6d10a037-0e94-40d0-9f0b-61708886f2f2 · outbound

This paper cites an unresolved cited work.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:23.976496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 496173f2-1f8a-4559-8dc3-3e891f1321ef · outbound

This paper cites Similarity of Neural Network Representations Revisited.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration Similarity of Neural Network Representations Revisited

Reference 2019

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.