Paper Citation Record · LEDGER

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing

As of 21 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 2 inbound Pith citation observations for arXiv:2501.05313.

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

pith.paper-citation-record.v1
2501.05313 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:20:53.820333Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:44:35.764432Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:59:52.416593Z

Reference resolution

50 of 50 outbound references displayed

verified exact2
verified fuzzy28
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 28a1cd29-1036-4468-a21d-7dd32bf0100d · outbound

This paper cites Ditto: Efficient serverless analytics with elastic parallelism,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Ditto: Efficient serverless analytics with elastic parallelism,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:54.206088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3e45feef-c700-4a05-b636-adc00008ff91 · outbound

This paper cites Caerus:{NIMBLE} task scheduling for serverless analytics,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Caerus:{NIMBLE} task scheduling for serverless analytics,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:54.198006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fe5cba69-ecdd-47f5-8ce4-aa8f9ee0bfc8 · outbound

This paper cites Gillis: Serving large neural networks in serverless functions with automatic model partitioning,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Gillis: Serving large neural networks in serverless functions with automatic model partitioning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:54.190524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 26d66836-d16a-4308-b1d4-def24f09810e · outbound

This paper cites [Online].

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing [Online]

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:54.180125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 99395268-1944-46b8-a81d-754c01baf32f · outbound

This paper cites [Online].

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing [Online]

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:54.170509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ba61c4e7-9be1-4e69-8154-0960f92433ca · outbound

This paper cites Tetris: Memory-efficient serverless inference through tensor sharing,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Tetris: Memory-efficient serverless inference through tensor sharing,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:54.163119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c01bf16b-2b73-45d5-a259-a6d8a6f9d399 · outbound

This paper cites A holistic view on resource management in serverless computing environments: Taxonomy and future directions,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing A holistic view on resource management in serverless computing environments: Taxonomy and future directions,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:54.154377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 07159989-1728-4afa-9574-d80ce7352bb8 · outbound

This paper cites Serverless computing: What it is, and what it is not?.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Serverless computing: What it is, and what it is not?

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:54.146670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 096bfb59-57fe-4def-acb4-9f993500f1e5 · outbound

This paper cites [Online].

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing [Online]

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:54.139081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 778ab619-c3ee-4735-9725-ab3e69d6a83f · outbound

This paper cites [Online].

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing [Online]

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:54.132700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bf99ae0d-d527-4a27-9bab-e373c7f9edc3 · outbound

This paper cites Distributed Inference Performance Optimization for LLMs on CPUs.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Distributed Inference Performance Optimization for LLMs on CPUs

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:20:53.905278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 09564e26-0e03-4d26-a745-253c77293041 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:53.722179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e56372c-08fe-4be0-a6a5-36501605d03c · outbound

This paper cites Glam: Efficient scaling of language models with mixture-of-experts,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Glam: Efficient scaling of language models with mixture-of-experts,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:54.121134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e65c72d1-d112-4835-aa36-c38756206dc0 · outbound

This paper cites Deepspeed-moe: Advancing mixture-of- experts inference and training to power next-generation ai scale,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Deepspeed-moe: Advancing mixture-of- experts inference and training to power next-generation ai scale,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:53.727400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 760e01a8-e570-4ce1-b8fc-d330990656e5 · outbound

This paper cites Accelerating distributed {MoE} training and inference with lina,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Accelerating distributed {MoE} training and inference with lina,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:53.729687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1871a911-8349-4889-b921-75d298cb4a76 · outbound

This paper cites FastMoE: A Fast Mixture-of-Expert Training System.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing FastMoE: A Fast Mixture-of-Expert Training System

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:53.732254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de91a24c-ed2f-4448-96a2-3a774609a711 · outbound

This paper cites {SmartMoE}: Efficiently training {Sparsely-Activated} models through combining offline and online parallelization,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing {SmartMoE}: Efficiently training {Sparsely-Activated} models through combining offline and online parallelization,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:53.734548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28e5439e-d17d-44b8-a7c0-db784630ec65 · outbound

This paper cites Pipemoe: Accelerating mixture- of-experts through adaptive pipelining,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Pipemoe: Accelerating mixture- of-experts through adaptive pipelining,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:53.736530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e712609-ee81-4e3d-bbb8-1e9ca63a16a9 · outbound

This paper cites Mpipemoe: Memory efficient moe for pre-trained models with adaptive pipeline parallelism,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Mpipemoe: Memory efficient moe for pre-trained models with adaptive pipeline parallelism,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:53.738545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 653b872d-92bc-4d5d-9667-367355095c11 · outbound

This paper cites [Online].

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing [Online]

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:54.092651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 99ff8aba-e580-4af3-b99c-aed1034c1c36 · outbound

This paper cites [Online].

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing [Online]

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:54.084261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 15594768-dd40-49ed-9643-3b46fb68bb18 · outbound

This paper cites [Online].

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing [Online]

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:54.074986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 48688f29-c12b-487c-a2e5-fca4e8c29671 · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:53.746986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 594b7819-444c-4ac8-b55e-eb3a76d8db7f · outbound

This paper cites Mixture-of-experts with expert choice routing,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Mixture-of-experts with expert choice routing,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:53.750283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdc2c165-bbde-4e6c-bcd4-b8e8ec968d84 · outbound

This paper cites Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:53.753021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f9b4138-b135-464f-a7e9-2c52aee0f78b · outbound

This paper cites Faster- moe: modeling and optimizing training of large-scale dynamic pre- trained models,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Faster- moe: modeling and optimizing training of large-scale dynamic pre- trained models,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:53.755719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69bb6db3-0f94-485f-be87-68e5341f68f4 · outbound

This paper cites Amps-inf: Automatic model partitioning for serverless inference with cost efficiency,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Amps-inf: Automatic model partitioning for serverless inference with cost efficiency,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:54.056415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3c5ca793-feb2-4e62-898b-276f84cd90cb · outbound

This paper cites Batch: machine learning inference serving on serverless platforms with adaptive batching,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Batch: machine learning inference serving on serverless platforms with adaptive batching,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:54.047384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f8c67685-34f3-46d6-9b76-5ac5dcfb4278 · outbound

This paper cites Infless: a native serverless system for low-latency, high-throughput inference,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Infless: a native serverless system for low-latency, high-throughput inference,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:54.038391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b0610e7d-8f36-4f1a-815f-4e051742a95e · outbound

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

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing {ServerlessLLM}:{Low-Latency} serverless inference for large language models,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:53.767668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b4c526a-864f-4e33-9c8e-2945b4d8f9d8 · outbound

This paper cites [Online].

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing [Online]

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:54.024839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1579174c-405e-4444-8ef9-d2b4aedad689 · outbound

This paper cites A machine learning approach to measurement of text readability for efl learners using various linguistic features.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing A machine learning approach to measurement of text readability for efl learners using various linguistic features

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:54.015584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7084c89e-72ad-4a03-9345-e348ee5647be · outbound

This paper cites Flexmoe: Scaling large-scale sparse pre-trained model training via dynamic device placement,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Flexmoe: Scaling large-scale sparse pre-trained model training via dynamic device placement,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:53.775335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e9af875-223b-4052-850d-21d96502903d · outbound

This paper cites Prophet: Fine-grained load balancing for parallel training of large- scale moe models,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Prophet: Fine-grained load balancing for parallel training of large- scale moe models,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:53.777604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb91f1b8-60fe-49c7-9716-432843758ae5 · outbound

This paper cites Prediction Is All MoE Needs: Expert Load Distribution Goes from Fluctuating to Stabilizing.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Prediction Is All MoE Needs: Expert Load Distribution Goes from Fluctuating to Stabilizing

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:53.780065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb296c5d-cd3e-4424-a03f-fb5afbabead1 · outbound

This paper cites {INFaaS}: Automated model-less inference serving,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing {INFaaS}: Automated model-less inference serving,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:53.785064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dbe615f-bcc1-47c9-a3af-26ac54cbfe0e · outbound

This paper cites Global solution of non-convex quadrati- cally constrained quadratic programs,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Global solution of non-convex quadrati- cally constrained quadratic programs,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:53.991613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 303c83d7-be99-4ec7-8199-33ab62967382 · outbound

This paper cites [Online].

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing [Online]

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:53.983731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9bb53892-2442-4d78-8c8f-cbcfb9f07d77 · outbound

This paper cites $\epsilon$-shotgun: $\epsilon$-greedy Batch Bayesian Optimisation.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing $\epsilon$-shotgun: $\epsilon$-greedy Batch Bayesian Optimisation

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:20:53.863658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1bcbfc19-3070-4e08-aa3a-c51067f11c0b · outbound

This paper cites [Online].

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing [Online]

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:53.975510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 24529845-232c-4099-a163-618ee6806849 · outbound

This paper cites [Online].

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing [Online]

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:53.968575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ead71402-e17e-48fa-a601-038ee0b7ae21 · outbound

This paper cites [Online].

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing [Online]

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:53.959714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b2f653a3-a508-451f-abd6-6aded08068fc · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:53.803064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3b72791-f479-4dee-9829-36b27256d30e · outbound

This paper cites Language models are unsupervised multitask learners,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Language models are unsupervised multitask learners,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:53.805586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea25869d-652a-4594-931a-5b7ada24eace · outbound

This paper cites bert2BERT: Towards Reusable Pretrained Language Models.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing bert2BERT: Towards Reusable Pretrained Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:53.807838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 106f0425-5f40-4800-904c-1f2a4c8fdbe9 · outbound

This paper cites [Online].

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing [Online]

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:53.945855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7a620941-e904-4254-b74c-44e0e02d5fc1 · outbound

This paper cites [Online].

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing [Online]

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:53.936922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 53f673ed-0667-40e5-8f70-5aa2302a08f6 · outbound

This paper cites [Online].

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing [Online]

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:53.927766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a1909807-aa62-4f5d-9074-2ac06c8b3ae5 · outbound

This paper cites Algorithms for hyper- parameter optimization,.

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing Algorithms for hyper- parameter optimization,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:53.817806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a494794-6cd5-4308-92c3-f85f86c72126 · outbound

This paper cites [Online].

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing [Online]

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:53.914616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 4f07f43a-5d99-407d-8ba2-9e134a82eb84 · inbound

A Survey on Inference Optimization Techniques for Mixture of Experts Models cites this paper.

A Survey on Inference Optimization Techniques for Mixture of Experts Models Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing

Reference 107

Resolution: unresolved; no resolver link, observed 2026-08-11T12:44:35.764432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a55f8727-180e-46d9-b188-4c0d8ee21fee · inbound

Hecto: Modular Sparse Experts for Adaptive and Interpretable Reasoning cites this paper.

Hecto: Modular Sparse Experts for Adaptive and Interpretable Reasoning Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:59:52.473973Z

Source-reported events for the cited work

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