Paper Citation Record · LEDGER

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model

As of 24 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 2 inbound Pith citation observations for arXiv:2411.13787.

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

pith.paper-citation-record.v1
2411.13787 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:16:26.325955Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:28:50.730119Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:06:49.900785Z

Reference resolution

45 of 45 outbound references displayed

verified exact1
verified fuzzy18
unresolved25
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 832a96aa-36ab-4e75-b722-9da21ecbcbae · outbound

This paper cites https : / / huggingface.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model https : / / huggingface

Reference 1

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Source-reported events for the cited work

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Observation 8e36cc9d-df1c-49db-92c3-72c1a37a7cde · outbound

This paper cites Mixture of tokens: Continuous moe through cross-example aggregation.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Mixture of tokens: Continuous moe through cross-example aggregation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:27.034337Z

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Observation 1260a09d-2e07-4e1a-860d-005f1e91305a · outbound

This paper cites Imagen 3.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Imagen 3

Reference 3

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Observation 4d25ca0e-b414-46f3-9271-5abfc6dcd011 · outbound

This paper cites Ld-pruner: Efficient pruning of latent diffu- sion models using task-agnostic insights.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Ld-pruner: Efficient pruning of latent diffu- sion models using task-agnostic insights

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:27.025385Z

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Observation 3f8c975e-a461-45ff-8adf-56a47442c81d · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 5

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Source-reported events for the cited work

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Observation 74286e4c-9c59-442a-b55d-7458087efbf3 · outbound

This paper cites FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Reference 6

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Source-reported events for the cited work

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Observation 6643db29-d8ec-488c-952f-060c9f089548 · outbound

This paper cites Reproducible scal- ing laws for contrastive language-image learning.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Reproducible scal- ing laws for contrastive language-image learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:27.016134Z

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Observation 771beb8d-25aa-4611-8297-56c34aa4a62f · outbound

This paper cites Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing

Reference 8

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Observation 621b72f9-26b2-41df-b660-738a6e6ea4c6 · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:27.006381Z

Source-reported events for the cited work

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Observation ae7d3901-2b46-4b28-a3c1-e0ceb90695a8 · outbound

This paper cites Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

Reference 10

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Source-reported events for the cited work

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Observation 3581a645-b16a-4c84-a6ec-575b04f91633 · outbound

This paper cites RouterBench: A Benchmark for Multi-LLM Routing System.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model RouterBench: A Benchmark for Multi-LLM Routing System

Reference 11

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Source-reported events for the cited work

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Observation 5e642b47-7fb9-4f0c-9f0a-cc344bed0eb9 · outbound

This paper cites LAECIPS: Large Vision Model Assisted Adaptive Edge-Cloud Collaboration for IoT-based Embodied Intelligence System.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model LAECIPS: Large Vision Model Assisted Adaptive Edge-Cloud Collaboration for IoT-based Embodied Intelligence System

Reference 12

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Observation ca2ad42a-3f41-4956-92f0-f9851e846e70 · outbound

This paper cites Efficient edge inference by se- lective query.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Efficient edge inference by se- lective query

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:26.997382Z

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Observation 33046802-4324-460c-a040-c99024e231ed · outbound

This paper cites Holis- tic evaluation of text-to-image models.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Holis- tic evaluation of text-to-image models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:26.987390Z

Source-reported events for the cited work

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Observation 195e02c1-2d16-47af-b39a-a2ba00c8b5f6 · outbound

This paper cites Holis- tic evaluation of text-to-image models.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Holis- tic evaluation of text-to-image models

Reference 15

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Source-reported events for the cited work

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Observation d3f11ac8-d322-43ac-815e-3ace18d0ade6 · outbound

This paper cites Q-diffusion: Quantizing diffusion models.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Q-diffusion: Quantizing diffusion models

Reference 16

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Source-reported events for the cited work

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Observation ac55274c-af5d-4a5b-8df1-3d8b265b3910 · outbound

This paper cites Snap- fusion: Text-to-image diffusion model on mobile devices within two seconds.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Snap- fusion: Text-to-image diffusion model on mobile devices within two seconds

Reference 17

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Observation f49bb406-b2f1-437c-b35b-de9f95b18b30 · outbound

This paper cites Iterative prompt learning for unsupervised backlit image enhancement.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Iterative prompt learning for unsupervised backlit image enhancement

Reference 18

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Observation b25f0fa2-aaf4-4ba8-a03b-d0a960666936 · outbound

This paper cites Microsoft coco: Common objects in context.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Microsoft coco: Common objects in context

Reference 19

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Observation 6032303a-d7a5-4b39-9b4b-c80d60520339 · outbound

This paper cites Instaflow: One step is enough for high-quality diffusion- based text-to-image generation.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Instaflow: One step is enough for high-quality diffusion- based text-to-image generation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:26.942949Z

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Observation e9272aee-7acf-4ea7-9ca8-1c6e9ba74364 · outbound

This paper cites Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 21

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Source-reported events for the cited work

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Observation 1f004f15-5679-4c27-9c41-c738245f0c5a · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 22

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Observation 65fe60ce-cf4d-4f86-b5d6-550f048ebcb9 · outbound

This paper cites RouteLLM: Learning to Route LLMs with Preference Data.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model RouteLLM: Learning to Route LLMs with Preference Data

Reference 23

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Observation 4ac80c6c-7706-4417-9872-7085216a986a · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 24

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Source-reported events for the cited work

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Observation 6a042203-0985-4ed3-8b75-33e0cdfa9b1e · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Learning transferable visual models from natural language supervi- sion

Reference 25

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Observation 02ae24ef-7d91-4e35-8a57-4def54a41ddf · outbound

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

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 26

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Observation 2776753e-f47e-484f-b5f0-ade1c9919f36 · outbound

This paper cites Zero-shot text-to-image generation.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Zero-shot text-to-image generation

Reference 27

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Observation e7f258ed-b406-4056-b005-a6bf68b1808f · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model High-resolution image synthesis with latent diffusion models

Reference 28

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Observation e729cdeb-0713-4d4b-be4e-01cf8a9e1199 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Photorealistic text-to-image diffusion models with deep language understanding

Reference 29

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Observation 769e0ff0-8d0f-47b3-85b1-234ad35656ab · outbound

This paper cites Adversarial diffusion distillation.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Adversarial diffusion distillation

Reference 30

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Observation 8ea0972d-c6e3-4106-9dab-15c9f6d1c0db · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 31

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Observation 073601b5-d316-4429-a383-845aec27ae1c · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 32

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Observation a52b7294-7e76-4cd7-88fe-e41f15149a60 · outbound

This paper cites Large Language Model Routing with Benchmark Datasets.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Large Language Model Routing with Benchmark Datasets

Reference 33

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Observation 7d7b32f1-b5f7-419d-80d4-a989e3e37563 · outbound

This paper cites Temporal dynamic quantization for dif- fusion models.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Temporal dynamic quantization for dif- fusion models

Reference 34

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Observation e4c17e9f-5d47-4423-9db2-4e2fca75a145 · outbound

This paper cites Ex- ploring clip for assessing the look and feel of images.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Ex- ploring clip for assessing the look and feel of images

Reference 35

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Observation a164147c-7458-4524-8383-ea269f227c5f · outbound

This paper cites Tabi: An efficient multi-level inference system for large language models.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Tabi: An efficient multi-level inference system for large language models

Reference 36

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Source-reported events for the cited work

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Observation 682abd8d-f7de-46cc-b022-1da77c91d0da · outbound

This paper cites T2i-scorer: Quantitative evaluation on text-to-image generation via fine-tuned large multi-modal models.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model T2i-scorer: Quantitative evaluation on text-to-image generation via fine-tuned large multi-modal models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:26.858681Z

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Observation ad6cee64-4b11-4772-95ff-e1ca9b3a3fe3 · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 38

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Observation a1a23e0d-67ce-449a-866d-b1a0d498ac46 · outbound

This paper cites Multimodal large language models make text-to- image generative models align better.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Multimodal large language models make text-to- image generative models align better

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:26.849121Z

Source-reported events for the cited work

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Observation 688226f0-0554-46c3-83ba-9bc77782b209 · outbound

This paper cites Imagere- ward: Learning and evaluating human preferences for text- to-image generation.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Imagere- ward: Learning and evaluating human preferences for text- to-image generation

Reference 40

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Observation 3c2a4795-43a4-4ff6-b1e9-d5fe82358eb2 · outbound

This paper cites Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning

Reference 41

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Source-reported events for the cited work

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Observation 5597195e-9b4c-4a96-9ec6-14f2601a7a53 · outbound

This paper cites Learning multi- dimensional human preference for text-to-image generation.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Learning multi- dimensional human preference for text-to-image generation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:26.834396Z

Source-reported events for the cited work

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Observation a1c1490e-c7a0-4e41-a352-43014e1ae1d5 · outbound

This paper cites MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization

Reference 43

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Source-reported events for the cited work

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Observation 21fd2b15-5290-4a82-9a29-1545af9728fc · outbound

This paper cites MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices

Reference 44

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Source-reported events for the cited work

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Observation 4ad48d31-7d78-49d7-9114-02dd1f0b82c2 · outbound

This paper cites High definition photo.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model High definition photo

Reference 45

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Pith citing papers

Observation a57d7236-ce53-4f05-93ea-318804594605 · inbound

Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions cites this paper.

Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model

Reference 157

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Source-reported events for the cited work

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Observation ac9b0eab-6053-47f8-b5b6-819b394b3637 · inbound

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges cites this paper.

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model

Reference 165

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:06:49.905585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.