Paper Citation Record · LEDGER

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters

As of 23 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2505.23554.

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

pith.paper-citation-record.v1
2505.23554 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:47:02.258108Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-07T06:58:01.164783Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:16:27.530402Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy29
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d2230227-d639-4436-aa22-b1ca581a4950 · outbound

This paper cites Reducing the Carbon Impact of Generative AI Inference (today and in 2035),.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters Reducing the Carbon Impact of Generative AI Inference (today and in 2035),

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:08.868713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c58ed1a0-097c-4b69-896b-0dd480881daa · outbound

This paper cites OpenAI and the CSU system bring AI to 500,000 students and faculty,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters OpenAI and the CSU system bring AI to 500,000 students and faculty,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:08.640039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d78cdc12-67da-49ce-ac15-5349dfda5219 · outbound

This paper cites The Unseen AI Disruptions for Power Grids: LLM -Induced Transients,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters The Unseen AI Disruptions for Power Grids: LLM -Induced Transients,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:08.370335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7bb3ac05-d472-4501-bfc6-0bce4ad25216 · outbound

This paper cites The Environmental Footprint of Data Centers in the United States,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters The Environmental Footprint of Data Centers in the United States,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:08.121636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 55e151f3-e5ab-4f24-91c5-174eef7ed4de · outbound

This paper cites Toward a Systematic Survey for Carbon Neutral Data Centers,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters Toward a Systematic Survey for Carbon Neutral Data Centers,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:07.906179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b57184f2-679e-4783-bbbf-0a5c5d74ae66 · outbound

This paper cites Future Global Urban Water Scarcity and Potential Solutions,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters Future Global Urban Water Scarcity and Potential Solutions,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:07.650884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 61b204fe-86a8-459b-a882-e69865f854c0 · outbound

This paper cites Data Centre Water Consumption.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters Data Centre Water Consumption

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:07.369783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8eabd8a7-be3e-411a-a541-365a492a321a · outbound

This paper cites Hybrid ant genetic algorithm for efficient task scheduling in cloud data centers,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters Hybrid ant genetic algorithm for efficient task scheduling in cloud data centers,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:07.123670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8e127a47-4e20-406d-b7ef-b92f33eb3043 · outbound

This paper cites Energy and Network Aware Workload Management for Geographically Distributed Data Centers,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters Energy and Network Aware Workload Management for Geographically Distributed Data Centers,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:06.846533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a9cdfdd8-9292-4083-933c-9eda00fc1944 · outbound

This paper cites A Survey on Machine Learning for Geo -Distributed Cloud Data Center Management,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters A Survey on Machine Learning for Geo -Distributed Cloud Data Center Management,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:06.586921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fff6b71a-4c57-4e27-bb17-4ae97d7276ce · outbound

This paper cites GreenCourier: Carbon -Aware Scheduling for Serverless Functions,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters GreenCourier: Carbon -Aware Scheduling for Serverless Functions,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:06.361139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cdca7589-7f11-4b90-939f-6b0bb3374936 · outbound

This paper cites CASA: A Framework for SLO - and Carbon-Aware Autoscaling and Scheduling in Serverless Cloud Computing,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters CASA: A Framework for SLO - and Carbon-Aware Autoscaling and Scheduling in Serverless Cloud Computing,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:06.112346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0ded01f9-4d87-49b3-9151-4fc69fa161f0 · outbound

This paper cites A Framework for SLO, Carbon, and Wastewater -Aware Sustainable FaaS Cloud Platform Management,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters A Framework for SLO, Carbon, and Wastewater -Aware Sustainable FaaS Cloud Platform Management,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:05.820863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e64923ba-3f55-4f78-9641-6e8036c466d2 · outbound

This paper cites MOSAIC: A Multi -Objective Optimization Framework for Sustainable Datacenter Management,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters MOSAIC: A Multi -Objective Optimization Framework for Sustainable Datacenter Management,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:05.561534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ed887bc8-77a5-4684-8613-95dab866be41 · outbound

This paper cites SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:05.310306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 34869ec5-9c37-4c57-a588-a8a03656ec7d · outbound

This paper cites Helix: Distributed Serving of Large Language Models via Max - Flow on Heterogenous GPUs,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters Helix: Distributed Serving of Large Language Models via Max - Flow on Heterogenous GPUs,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:05.081153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f602817b-e3e6-47b4-bba7-623af823243d · outbound

This paper cites Splitwise: Efficient Generative LLM Inference Using Phase Splitting,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters Splitwise: Efficient Generative LLM Inference Using Phase Splitting,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:04.842900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 599261a9-02b3-457b-8cda-6a2f08b56491 · outbound

This paper cites Hogade, et al., Game-Theoretic Deep Reinforcement Learning to Minimize Carbon Emissions and Energy Costs for AI Inference Workloads in Geo - Distributed Data Centers, TSUSC, 2025.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters Hogade, et al., Game-Theoretic Deep Reinforcement Learning to Minimize Carbon Emissions and Energy Costs for AI Inference Workloads in Geo - Distributed Data Centers, TSUSC, 2025

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:04.636220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ec48edd3-527f-437a-9c4c-1638bfb5892e · outbound

This paper cites BurstGPT: A Real-world Workload Dataset to Optimize LLM Serving Systems,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters BurstGPT: A Real-world Workload Dataset to Optimize LLM Serving Systems,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:04.450062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 52f30b6c-eaa3-418b-8c75-eed94a94e355 · outbound

This paper cites Delay -Sensitive Multicast in Inter-Datacenter WAN using Compressive Latency Monitoring,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters Delay -Sensitive Multicast in Inter-Datacenter WAN using Compressive Latency Monitoring,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:04.249287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9a0acf2b-6968-45b1-8cbc-dd32b043c14e · outbound

This paper cites Alternating Cold and Hot Aisles Provides More Reliable Cooling for Server Farms,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters Alternating Cold and Hot Aisles Provides More Reliable Cooling for Server Farms,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:04.050919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 64772731-1130-4148-8886-2a34e0112cdc · outbound

This paper cites A100 Spec Sheet,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters A100 Spec Sheet,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:03.862212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5a1f9e71-4abd-434b-80d4-bc94817b82ec · outbound

This paper cites A survey on data center cooling systems: Technology, power consumption modeling and control strategy optimization,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters A survey on data center cooling systems: Technology, power consumption modeling and control strategy optimization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:03.681899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c78c3907-c3ae-4bc1-adeb-bf7a7869dae8 · outbound

This paper cites A Review of Data Centers Energy Consumption and Reliability Modeling,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters A Review of Data Centers Energy Consumption and Reliability Modeling,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:03.494045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 84a2bd87-814a-43d5-acb3-cd2d308399f2 · outbound

This paper cites Water Use of Electricity Technologies: A Global Meta -Analysis,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters Water Use of Electricity Technologies: A Global Meta -Analysis,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:03.310107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6622881a-eff6-4e3e-a4bf-3d88ffe04c9c · outbound

This paper cites SHIELD: Sustainable Hybrid Evolutionary Learning Framework for Carbon, Wastewater, and Energy -Aware Data Center Management,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters SHIELD: Sustainable Hybrid Evolutionary Learning Framework for Carbon, Wastewater, and Energy -Aware Data Center Management,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:03.155656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3ecf37fe-43b3-4446-822b-e2805d725797 · outbound

This paper cites Advanced Weighted Round Robin Procedure for Load Balancing in Cloud Computing Enviornment,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters Advanced Weighted Round Robin Procedure for Load Balancing in Cloud Computing Enviornment,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:02.946730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f94b96d-369b-43a0-93ba-95244414ca7d · outbound

This paper cites Mu: An Efficient, Fair and Responsive Serverless Framework for Resource-constrained Edge Clouds,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters Mu: An Efficient, Fair and Responsive Serverless Framework for Resource-constrained Edge Clouds,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:02.716365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1c45e769-e0ae-4899-9a79-354712934de4 · outbound

This paper cites Greedy Function Approximation: A Gradient Boosting Machine,.

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters Greedy Function Approximation: A Gradient Boosting Machine,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:02.525148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation ace9d1e6-0c1e-4571-8a09-7c14b14c7652 · inbound

AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework cites this paper.

AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:16:27.532561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.