Paper Citation Record · LEDGER

Empirical Measurements of AI Training Power Demand on a GPU-Accelerated Node

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2412.08602.

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

pith.paper-citation-record.v1
2412.08602 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:22:08.486908Z

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

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2cbb1e4a-3505-4fc2-9439-040a9ac8e097 · inbound

Wide-Area Power System Oscillations from Large-Scale AI Workloads cites this paper.

Wide-Area Power System Oscillations from Large-Scale AI Workloads Empirical Measurements of AI Training Power Demand on a GPU-Accelerated Node

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T21:31:51.626683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2ae92141-7158-41cc-a2da-9989d7a91499 · inbound

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

HOSt3R: Keypoint-free Hand-Object 3D Reconstruction from RGB images Empirical Measurements of AI Training Power Demand on a GPU-Accelerated Node

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T17:22:08.486908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4c0e2d0-6301-40c4-bbdf-4b11bfe4e47e · 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 Empirical Measurements of AI Training Power Demand on a GPU-Accelerated Node

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T22:40:48.203198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 009c0ec9-5c1c-41aa-9864-f46edda4f9dd · 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 Empirical Measurements of AI Training Power Demand on a GPU-Accelerated Node

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T17:25:38.878577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 37785565-b9b3-4fa4-90e8-8d27ee054d0c · inbound

Composite Control of Grid-Following Inverters for Stabilizing AI-Induced Fast Power Disturbances cites this paper.

Composite Control of Grid-Following Inverters for Stabilizing AI-Induced Fast Power Disturbances Empirical Measurements of AI Training Power Demand on a GPU-Accelerated Node

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:16:03.283384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 163a2ff8-24bc-4025-9bd8-f8c72f332da2 · inbound

Grid Integration of Gigawatt-Scale AI Data Centers under Connect-and-Manage cites this paper.

Grid Integration of Gigawatt-Scale AI Data Centers under Connect-and-Manage Empirical Measurements of AI Training Power Demand on a GPU-Accelerated Node

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:05:01.678007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8b86ace4-bfe0-476d-b72b-b96afed7732f · 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 Empirical Measurements of AI Training Power Demand on a GPU-Accelerated Node

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-08T19:45:30.194366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.