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Paper Citation Record · LEDGER

Power Stabilization for AI Training Datacenters

As of 23 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 29 inbound Pith citation observations for arXiv:2508.14318.

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

pith.paper-citation-record.v1
2508.14318 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:42:45.675305Z

measured 52 of 52 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 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:15:15.221603Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 4fe60c07-24e1-472f-b9ec-eabd45d59262 · outbound

This paper cites Standard for voltage flicker and power swing limitations.

Power Stabilization for AI Training Datacenters Standard for voltage flicker and power swing limitations

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-05T18:42:49.546806Z

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.

source=pdf_text observed=2026-08-05T18:42:43.634455Z digest=sha256:ee2e2b83ae29a494be9286ab2e5a10991b79e7e9432e939c27bcf6e4e78094bb

Observation da4c2897-0818-4f48-b377-f8c3797e10cb · outbound

This paper cites an unresolved cited work.

Power Stabilization for AI Training Datacenters Unresolved cited work

Reference 2

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unresolved
no resolver link, observed 2026-08-05T18:42:43.729006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:42:43.729006Z digest=sha256:51ce9ff0af3159c9be8a9db8305a4c9b25fcab0aaf4ab8d6b038b08af92c8145

Observation 33d8e2dd-51f5-49f5-a6c4-c4626fce57e0 · outbound

This paper cites Petrafikowski.

Power Stabilization for AI Training Datacenters Petrafikowski

Reference 3

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raw_fallback, observed 2026-08-05T18:42:49.388774Z

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.

source=pdf_text observed=2026-08-05T18:42:43.883895Z digest=sha256:d5576a33032cc6e5ce6410dc3cd55d2ee5c915ad9f46e00a174e257242f2e7ea

Observation 1578983b-af99-4377-bfe1-59964312f9ea · outbound

This paper cites Torsional dynamics: Large 2-pole and 4-pole steam turbine powertrains.

Power Stabilization for AI Training Datacenters Torsional dynamics: Large 2-pole and 4-pole steam turbine powertrains

Reference 4

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raw_fallback, observed 2026-08-05T18:42:49.220113Z

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.

source=pdf_text observed=2026-08-05T18:42:43.988571Z digest=sha256:5c2324584b74b6a95a8178f521811c1a9cb61574b39a169325f5c25992a84de2

Observation 6ed7ba56-9416-49b2-8d06-13c509a65f93 · outbound

This paper cites Deepseek-v3 technical report.

Power Stabilization for AI Training Datacenters Deepseek-v3 technical report

Reference 5

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raw_fallback, observed 2026-08-05T18:42:49.015079Z

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.

source=pdf_text observed=2026-08-05T18:42:44.064174Z digest=sha256:44e41213e8b82bf51453b8b9896e3c9496b6c3a76ecfca148d46f97e53ca2fa1

Observation 476fa570-c840-4528-9cab-9b78315a838d · outbound

This paper cites Torsional interaction between electrical network phenomena and turbine-generator shafts: Plant vulnerability.

Power Stabilization for AI Training Datacenters Torsional interaction between electrical network phenomena and turbine-generator shafts: Plant vulnerability

Reference 6

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raw_fallback, observed 2026-08-05T18:42:48.803796Z

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.

source=pdf_text observed=2026-08-05T18:42:44.137460Z digest=sha256:fbf48d3240e22feae2eb2086d557673894f41bc2c3a2062fe275a79d3a5d290e

Observation 3ab83d16-c35d-44d8-8154-0590b175fb01 · outbound

This paper cites an unresolved cited work.

Power Stabilization for AI Training Datacenters Unresolved cited work

Reference 7

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raw_fallback, observed 2026-08-05T18:42:48.603045Z

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.

source=pdf_text observed=2026-08-05T18:42:44.227685Z digest=sha256:34457dc90ce748a722387ef3c54d7146b903f07a3de5e505d6c0c6b9cc0a0026

Observation 85cd7acb-0267-4cac-9505-74b44eacd61f · outbound

This paper cites Asynchronous decentralized parallel stochastic gradient descent.

Power Stabilization for AI Training Datacenters Asynchronous decentralized parallel stochastic gradient descent

Reference 8

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raw_fallback, observed 2026-08-05T18:42:48.412748Z

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.

source=pdf_text observed=2026-08-05T18:42:44.330131Z digest=sha256:09f06f30811615469d2e998f04b8c044fee9286c3986ad7dee9e3c544a7bbdce

Observation 4d70010b-8fa2-4a51-857e-b45b6b9b9aad · outbound

This paper cites How meta keeps its ai hardware reliable.

Power Stabilization for AI Training Datacenters How meta keeps its ai hardware reliable

Reference 9

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raw_fallback, observed 2026-08-05T18:42:48.212774Z

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.

source=pdf_text observed=2026-08-05T18:42:44.442776Z digest=sha256:a5f804bf5a5e54890c08960708bcb5cb059eba8b43a2926284fecd1f45c20ddc

Observation a9e004f4-0c27-4a90-9093-94076e5ab58f · outbound

This paper cites Phi-3: A highly capable small language model locally on your phone.

Power Stabilization for AI Training Datacenters Phi-3: A highly capable small language model locally on your phone

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:42:47.964284Z

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.

source=pdf_text observed=2026-08-05T18:42:44.488132Z digest=sha256:2c4963f87ad071dadbb90133fbea2448b5cb8aa9d563744ee35f935ca200e39f

Observation 700ef5c6-c5bc-44f8-8e2d-a457087de11e · outbound

This paper cites Disturbance monitoring and analysis of oscillatory events.https://www.

Power Stabilization for AI Training Datacenters Disturbance monitoring and analysis of oscillatory events.https://www

Reference 11

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raw_fallback, observed 2026-08-05T18:42:47.752109Z

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.

source=pdf_text observed=2026-08-05T18:42:44.555085Z digest=sha256:60cc52e4454f03331cd8d029e8f75429fc737d0e983f2aa6707bda25e10f13eb

Observation bd07a714-3bb4-4d09-984c-e197e23fc0b0 · outbound

This paper cites Intercon- nection oscillation analysis.

Power Stabilization for AI Training Datacenters Intercon- nection oscillation analysis

Reference 12

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raw_fallback, observed 2026-08-05T18:42:47.526416Z

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.

source=pdf_text observed=2026-08-05T18:42:44.637040Z digest=sha256:9c516c4dd881952fef8e07be30102178488ff6b6c0c7985aa36c6e41014583c6

Observation c59be847-8947-42cf-82cd-015919690a59 · outbound

This paper cites NVIDIA, April 2025.

Power Stabilization for AI Training Datacenters NVIDIA, April 2025

Reference 13

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raw_fallback, observed 2026-08-05T18:42:47.365607Z

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.

source=pdf_text observed=2026-08-05T18:42:44.746665Z digest=sha256:08e57e7a3e4b2a719eabd57b0fa990318a16869731f7fbaac7f92ff72b88b3cf

Observation c9dae897-f28f-447a-8292-2bd118bcd8cd · outbound

This paper cites Nvidia collective communications library (nccl).https://developer.nvidia.com/nccl, 2025.

Power Stabilization for AI Training Datacenters Nvidia collective communications library (nccl).https://developer.nvidia.com/nccl, 2025

Reference 14

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raw_fallback, observed 2026-08-05T18:42:47.206699Z

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.

source=pdf_text observed=2026-08-05T18:42:44.857027Z digest=sha256:62691d49111c3025e7303c16ca56c23126769a370a15efa51551f96d885ef391

Observation 67480f6c-c04f-4c87-9dde-5c38f312680b · outbound

This paper cites Scaling kubernetes to 7,500 nodes.https://openai.

Power Stabilization for AI Training Datacenters Scaling kubernetes to 7,500 nodes.https://openai

Reference 15

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raw_fallback, observed 2026-08-05T18:42:47.038414Z

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.

source=pdf_text observed=2026-08-05T18:42:44.977689Z digest=sha256:5d80cf6e3aa4bf219b7c2ba8b9e2d95809543dc2d848e14bb5fa17535b03dfa4

Observation 75d33f03-d4b5-4053-baad-f9f580cdc118 · outbound

This paper cites Techniques for training large neu- ral networks.https://openai.com/index/ techniques-for-training-large-neural-networks/, June 2022.

Power Stabilization for AI Training Datacenters Techniques for training large neu- ral networks.https://openai.com/index/ techniques-for-training-large-neural-networks/, June 2022

Reference 16

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raw_fallback, observed 2026-08-05T18:42:46.875316Z

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.

source=pdf_text observed=2026-08-05T18:42:45.083505Z digest=sha256:ee51cc5d56289a6bdd6810b5bf685f579bf2cca4cab72eb0021539e32037eb56

Observation f2961d18-e91a-4d70-ab70-51f1b2759cd2 · outbound

This paper cites Characterizing power management opportunities for llms in the cloud.

Power Stabilization for AI Training Datacenters Characterizing power management opportunities for llms in the cloud

Reference 17

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raw_fallback, observed 2026-08-05T18:42:46.689942Z

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.

source=pdf_text observed=2026-08-05T18:42:45.187595Z digest=sha256:4b1a47486a73e4e53468156df7691d7c67cbef8e69a120d3c12c203fdb343c30

Observation b26c2337-a9f3-49fb-811f-69128fd292b9 · outbound

This paper cites Pilz, James Sanders, Robi Rahman, and Lennart Heim.

Power Stabilization for AI Training Datacenters Pilz, James Sanders, Robi Rahman, and Lennart Heim

Reference 18

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raw_fallback, observed 2026-08-05T18:42:46.466037Z

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.

source=pdf_text observed=2026-08-05T18:42:45.293235Z digest=sha256:c274fb3b29cfd45c4d9a8d434a4b9f6a6578ce9eef347c82c1533c61f8378789

Observation 643b31f4-664d-413d-b0c8-932a5bc5b3e5 · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

Power Stabilization for AI Training Datacenters Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 19

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no resolver link, observed 2026-08-05T18:42:45.378838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:42:45.378838Z digest=sha256:d8f1367609a15a9735ad1c1fafd386c238119cb44ca058b12a581e0b3245f194

Observation 59afdafe-f5ca-46b8-96d9-9f25cd600643 · outbound

This paper cites Inside the 100k gpu xai colos- sus cluster that supermicro helped build for elon musk.

Power Stabilization for AI Training Datacenters Inside the 100k gpu xai colos- sus cluster that supermicro helped build for elon musk

Reference 20

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raw_fallback, observed 2026-08-05T18:42:46.262834Z

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.

source=pdf_text observed=2026-08-05T18:42:45.442947Z digest=sha256:bb5a5d69a8c493a35ecf1cf3d0765b57a40fe512f8ba7f2936a048ac87c1ded2

Observation 4135d383-7ff7-40cb-bf08-19bb075f9452 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Power Stabilization for AI Training Datacenters LLaMA: Open and Efficient Foundation Language Models

Reference 21

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no resolver link, observed 2026-08-05T18:42:45.509334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:42:45.509334Z digest=sha256:2a1e1d79175e8ab42697d91d3363962d9cd8c58869832d2ed466997f49f2c083

Observation f3adef84-75a2-4734-bdf0-5a5f1e2d1f4d · outbound

This paper cites an unresolved cited work.

Power Stabilization for AI Training Datacenters Unresolved cited work

Reference 22

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raw_fallback, observed 2026-08-05T18:42:46.063433Z

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.

source=pdf_text observed=2026-08-05T18:42:45.599360Z digest=sha256:83bd5ffc386b13c569e3d3cac3454d36bbbf19bac344d46ce5eda4be652bdeb8

Observation 3fb821e3-7d54-48db-a6c3-74514530584b · outbound

This paper cites Open release of grok-1: A 314b parameter mixture-of-experts model.

Power Stabilization for AI Training Datacenters Open release of grok-1: A 314b parameter mixture-of-experts model

Reference 23

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raw_fallback, observed 2026-08-05T18:42:45.900332Z

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.

source=pdf_text observed=2026-08-05T18:42:45.675305Z digest=sha256:65600df3b0aff1ce2f7f89225a0c0358cb14ba19ada7524005af82988745e3de

Pith citing papers

Observation 73a5f739-c09f-4eb3-8873-d8bc7397ff58 · inbound

HOSt3R: Keypoint-free Hand-Object 3D Reconstruction from RGB images cites this paper.

HOSt3R: Keypoint-free Hand-Object 3D Reconstruction from RGB images Power Stabilization for AI Training Datacenters

Reference 35

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no resolver link, observed 2026-08-05T17:22:08.522448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:22:08.522448Z digest=sha256:3eac138a1c91507508080700158aefd5b5086d80a7c4042c43409b6ae2bfc855

Observation efee6e5b-26f6-469d-8b43-c440bfc34cd4 · inbound

Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospects cites this paper.

Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospects Power Stabilization for AI Training Datacenters

Reference 18

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unresolved
no resolver link, observed 2026-08-04T22:40:48.022171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:40:48.022171Z digest=sha256:dca6fbda0cfb800f1fb92fde1f447b4eb1852e666ed90e4fc952907c51d339e1

Observation 1f099b45-2c11-49d3-8ba9-e2492cc7f7f7 · inbound

AI Infrastructure Sovereignty cites this paper.

AI Infrastructure Sovereignty Power Stabilization for AI Training Datacenters

Reference 25

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verified exact
arxiv_id, observed 2026-05-16T03:07:12.044223Z

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.

source=pdf_text observed=2026-05-16T03:02:37.251469Z digest=sha256:75e1fbaec3444fb6853e79e8dfba1c2d03a9727c26c35b62d1b4c1dca4d1de2e

Observation 8127412d-d9b1-43c7-95cf-33b81659757f · inbound

The Welfare Gap of Strategic Storage: Universal Bounds and Price Non-Linearity cites this paper.

The Welfare Gap of Strategic Storage: Universal Bounds and Price Non-Linearity Power Stabilization for AI Training Datacenters

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T21:41:22.240324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:41:22.240324Z digest=sha256:c9d4f46f8694a7a29694753fd0cf823c47da7a290dc6f51945721452aaa3354f

Observation 619e5a69-5fd4-475e-b542-42a6dd649c7e · inbound

Grid Integration of AI Data Centers: A Critical Review of Energy Storage Solutions cites this paper.

Grid Integration of AI Data Centers: A Critical Review of Energy Storage Solutions Power Stabilization for AI Training Datacenters

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:00:15.755691Z

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.

source=pdf_text observed=2026-05-15T18:56:33.224016Z digest=sha256:1ba7dc449930bb96c1f53cf4a74fa98eaeecd175bc2f5009f0a82d8efa5d6113

Observation be670adf-bfd1-4f37-a4b4-ed37416b4481 · inbound

The data heat island effect: quantifying the impact of AI data centers in a warming world cites this paper.

The data heat island effect: quantifying the impact of AI data centers in a warming world Power Stabilization for AI Training Datacenters

Reference 14

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metadata mismatch
arxiv_id, observed 2026-05-15T06:55:10.218075Z

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.

source=pdf_text observed=2026-05-15T06:54:22.037053Z digest=sha256:c18f99a767e608f572ebcc20d837d1f9fd7ab6cf6fa077a527708c167e242f10

Observation 499dd05f-39d1-4e4f-920a-56b349d64c33 · inbound

Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning cites this paper.

Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Power Stabilization for AI Training Datacenters

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-10T17:25:38.932029Z

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.

source=pdf_text observed=2026-05-10T17:23:15.999195Z digest=sha256:d11a3a542431b695a7ea99437892f6c0c1e10293b220005392ddddb7567d83c4

Observation 566e44bd-1fae-4372-bd66-fa1a952ea99d · inbound

Benchmarking Compound AI Applications for Hardware-Software Co-Design cites this paper.

Benchmarking Compound AI Applications for Hardware-Software Co-Design Power Stabilization for AI Training Datacenters

Reference 5

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arxiv_id, observed 2026-05-15T16:20:09.926485Z

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.

source=pdf_text observed=2026-05-15T16:17:08.045511Z digest=sha256:395efad25ec5b677a1ffbc81584d7fd93283714872dd24df68cff8a73436f2e2

Observation 3cbef8eb-c375-41a6-b831-9894658d8965 · inbound

Workload composition smooths aggregate power demand while sustaining short-horizon ramps in AI data centers cites this paper.

Workload composition smooths aggregate power demand while sustaining short-horizon ramps in AI data centers Power Stabilization for AI Training Datacenters

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T15:45:34.261906Z

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.

source=pdf_text observed=2026-05-10T15:41:17.648005Z digest=sha256:d473c321a6bbcb1bdbbb65430ed9694505f471cb1a632615934e9fe5284554f0

Observation c8208583-bf1e-484c-be79-ada28a1c7a1f · inbound

EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads cites this paper.

EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads Power Stabilization for AI Training Datacenters

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:28:38.804278Z

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.

source=pdf_text observed=2026-05-10T09:25:35.448333Z digest=sha256:9710045c8f39286a0c15582b1241e2c9f69cbec3f123b4627837fff09735e245

Observation 90024f43-e88b-426a-b3e3-67c431755d7a · inbound

Voltage Ride-Through in Large Loads- A Dual PQ Approach cites this paper.

Voltage Ride-Through in Large Loads- A Dual PQ Approach Power Stabilization for AI Training Datacenters

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:51:43.218274Z

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.

source=pdf_text observed=2026-05-09T19:08:31.562833Z digest=sha256:0cbf047bbdabf93aba90b3e0451cebcf966afa39d9be5281ef4425e329b11650

Observation ae25cc87-6b18-4489-b0a1-12323cfd9d14 · inbound

From Barrier to Bridge: The Case for AI Data Center/Power Grid Co-Design cites this paper.

From Barrier to Bridge: The Case for AI Data Center/Power Grid Co-Design Power Stabilization for AI Training Datacenters

Reference 6

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verified exact
arxiv_id, observed 2026-05-11T17:36:07.318550Z

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.

source=pdf_text observed=2026-05-08T17:22:34.567548Z digest=sha256:a69758629758f345c4726fdfa641c3c1854addfaf41342547f8eed63756ca5a8

Observation c4bbf7b3-0279-4f0f-9201-950b3938145a · inbound

Replicating Real-World 23-Hz Oscillations Caused by Large Electronic Loads cites this paper.

Replicating Real-World 23-Hz Oscillations Caused by Large Electronic Loads Power Stabilization for AI Training Datacenters

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:53:19.947625Z

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.

source=pdf_text observed=2026-05-20T13:51:11.498594Z digest=sha256:5ff796252d2ff2047b32a3abeaa50b0887ea44458bf274b63feb54f277ac4233

Observation 7400ae62-674d-4dce-a0a3-12e7437a0dd9 · inbound

ScaleAcross Explorer: Exploring Communication Optimization for Scale-Across AI Model Training cites this paper.

ScaleAcross Explorer: Exploring Communication Optimization for Scale-Across AI Model Training Power Stabilization for AI Training Datacenters

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T13:04:40.500776Z

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.

source=pdf_text observed=2026-06-30T12:57:37.344369Z digest=sha256:29dccca4d82fca4d06dbd5c4f4e7468c509fbbfdbd24ba8c14b8310cc2fe729a

Observation e22a4dfc-0fb0-41d8-935c-5f7fd0cf97fe · inbound

Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster cites this paper.

Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster Power Stabilization for AI Training Datacenters

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:34:38.632486Z

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.

source=pdf_text observed=2026-06-30T12:30:57.065247Z digest=sha256:0a592ef67214c0709b6c7b0e7b20cf65183e2ed50d2b1eb6784ff061f1fd16f6

Observation 208b875d-3dfb-41c5-a9fa-9b4450d568fd · inbound

GridPilot: Real-Time Grid-Responsive Control for AI Supercomputers cites this paper.

GridPilot: Real-Time Grid-Responsive Control for AI Supercomputers Power Stabilization for AI Training Datacenters

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-01T16:55:50.729570Z

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.

source=pdf_text observed=2026-06-29T20:05:39.993588Z digest=sha256:5959d04cd5e1e97fc9a840901489a1c159dad1a459b460ca4efae091cdcad0b8

Observation 776071af-5c29-40b7-8de1-69142966e900 · inbound

Source Side Mitigation of AI Datacenter Power Fluctuations with a Hybrid Energy Storage System and Residual Differentiable Predictive Control cites this paper.

Source Side Mitigation of AI Datacenter Power Fluctuations with a Hybrid Energy Storage System and Residual Differentiable Predictive Control Power Stabilization for AI Training Datacenters

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-02T10:06:52.103372Z

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.

source=pdf_text observed=2026-06-28T05:16:40.311968Z digest=sha256:23cdf35e7356d74cd1a156cf64b7a0d4fa671b41f6473a421d03ce4ee6460e9f

Observation b8ed3d67-2289-45db-aa02-50bf7da6094c · inbound

Source Side Mitigation of AI Datacenter Power Fluctuations with a Hybrid Energy Storage System and Residual Differentiable Predictive Control cites this paper.

Source Side Mitigation of AI Datacenter Power Fluctuations with a Hybrid Energy Storage System and Residual Differentiable Predictive Control Power Stabilization for AI Training Datacenters

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:05:31.838055Z

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.

source=pdf_text observed=2026-07-01T07:36:56.924429Z digest=sha256:87f970d84929217986ac8205b60a05727b820f3459ea7e58882fdd8f47bf5fde

Observation b3a40ff8-f8da-4d38-9971-2574ae27b22f · inbound

EnclaveScale: Hardware-Assisted Edge-DP for Secure Data Centre Power Telemetry cites this paper.

EnclaveScale: Hardware-Assisted Edge-DP for Secure Data Centre Power Telemetry Power Stabilization for AI Training Datacenters

Reference 27

Resolution
malformed identifier
arxiv_id, observed 2026-07-03T01:37:31.333702Z

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.

source=pdf_text observed=2026-06-27T16:23:12.837923Z digest=sha256:48e72f3c7d447a6994e597b0f2fa0c956db367897e792b58c912f2e153d9e6d6

Observation 2851dd63-9b5a-425b-a31f-97f0477a1fc4 · inbound

Stability Enhancement of Centralized UPS Data Center Systems Under Weak-Grid Conditions cites this paper.

Stability Enhancement of Centralized UPS Data Center Systems Under Weak-Grid Conditions Power Stabilization for AI Training Datacenters

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-04T07:29:39.160809Z

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.

source=pdf_text observed=2026-06-26T13:23:43.214436Z digest=sha256:521dc685d8221a6e7cfaa5862459ed22401fc5944d46e47c335ac1aeca176220

Observation 8040922e-2aa2-4875-986e-036f7c4d7579 · inbound

Inference as Flexibility: Ramp Management for Transmission-Connected AI Data Centres cites this paper.

Inference as Flexibility: Ramp Management for Transmission-Connected AI Data Centres Power Stabilization for AI Training Datacenters

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:09:41.839470Z

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.

source=pdf_text observed=2026-06-26T12:03:35.461543Z digest=sha256:2b4ce151679e1a17b5d4dce05479a90d1c2657b6cbcac6c595127feee0361604

Observation 6501033b-69d5-4c48-aef4-2ce30603571c · inbound

A Pre-Dispatch Resonance Safety Criterion for AI Training Clusters cites this paper.

A Pre-Dispatch Resonance Safety Criterion for AI Training Clusters Power Stabilization for AI Training Datacenters

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:19:44.940288Z

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.

source=pdf_text observed=2026-06-26T11:45:42.027422Z digest=sha256:dec0e60103f03dff1fd61f9b10441e8d2101da9710b38642b1ea6b66de7d35d8

Observation d522b5c9-13ee-4d7d-a6ab-775d2c5505f5 · inbound

Toward Next-Generation AI Data Centers: Power Delivery Architecture Shifts, Emerging Technologies, and Challenges cites this paper.

Toward Next-Generation AI Data Centers: Power Delivery Architecture Shifts, Emerging Technologies, and Challenges Power Stabilization for AI Training Datacenters

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:10:04.884576Z

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.

source=pdf_text observed=2026-06-25T21:47:28.214416Z digest=sha256:0f6c919d171260751f7252dae4e81698f350d5ab1d015dc8936c3048c3dbbf52

Observation c18593ef-afc5-44bf-954a-8f539d38660f · inbound

Bit2Watt: A Cyber-Physical Vulnerability Exploiting GPU Workloads Across Power and Computing Infrastructures cites this paper.

Bit2Watt: A Cyber-Physical Vulnerability Exploiting GPU Workloads Across Power and Computing Infrastructures Power Stabilization for AI Training Datacenters

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-08T19:45:30.197123Z

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.

source=pdf_text observed=2026-07-08T19:45:14.790572Z digest=sha256:56946501300d3e5b2c3e4756a0e51cfc46e10adaba8a0581b0e435a8aeb24bc5

Observation 2138b827-c35f-4dde-bc95-29c28b488e1c · inbound

Evaluating Grid Resilience in the Era of Ever-Increasing Data Centers cites this paper.

Evaluating Grid Resilience in the Era of Ever-Increasing Data Centers Power Stabilization for AI Training Datacenters

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T01:15:50.537987Z

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.

source=pdf_text observed=2026-07-09T01:14:28.477278Z digest=sha256:f14f3bb23b0735a7a13696c914d3aa31b1f34b8631048348aed28c2489cac755

Observation fd864399-6eab-4fde-a74a-c44ccaba7263 · inbound

A Phased Development Framework Enabling Islanded Operation of Sustainable AI Data Centers With Onsite Grid-Following and Grid-Forming Energy Architectures cites this paper.

A Phased Development Framework Enabling Islanded Operation of Sustainable AI Data Centers With Onsite Grid-Following and Grid-Forming Energy Architectures Power Stabilization for AI Training Datacenters

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-01T18:12:44.770497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:12:44.770497Z digest=sha256:baa993511b6436578d6555b1709be8e068d963b3582d8a9c232cce2e2937366a

Observation b3e20e18-4bf9-4152-a027-11dcbda05964 · inbound

Do Co-Located AI Training Jobs Synchronize? Load-Dependent Throttling as a Coupling Mechanism for Phase-Locking Behind a Shared Power Cap cites this paper.

Do Co-Located AI Training Jobs Synchronize? Load-Dependent Throttling as a Coupling Mechanism for Phase-Locking Behind a Shared Power Cap Power Stabilization for AI Training Datacenters

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T12:15:04.549746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:15:04.549746Z digest=sha256:e7a63fe9310c34ae53f1f07b74efb10b3dd72a8053beddaa6c491df161c66afd

Observation 88357998-1d3e-4228-a2cd-31cc29be56f7 · inbound

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences cites this paper.

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences Power Stabilization for AI Training Datacenters

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T15:15:15.221603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:15:15.221603Z digest=sha256:4835d9aad40ced5f7f56c5ec2c47af9c710be3398b99c4fdfdab38bd995bf7b5

Observation 2c18f638-0e37-472f-88cb-9c3ad704c330 · inbound

Synthesizing Voltage Ride-Through Controllers for Data Centers cites this paper.

Synthesizing Voltage Ride-Through Controllers for Data Centers Power Stabilization for AI Training Datacenters

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T11:03:03.547574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T11:03:03.547574Z digest=sha256:8caf2fd4bbbf644b93166846333fc96f6fe09a4123f1ed3ab003ffbf92e1400e