Paper Citation Record · LEDGER

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era

As of 23 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2607.02531.

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

pith.paper-citation-record.v1
2607.02531 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T14:55:13.702631Z

measured 21 of 21 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact4
verified fuzzy0
unresolved16
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cbe2cb33-2fc0-43af-b301-f7f44e2989d8 · outbound

This paper cites Data centre water consumption.npj Clean Water, 4(1):11, 2021.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era Data centre water consumption.npj Clean Water, 4(1):11, 2021

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T14:55:13.702631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7380860b-39d8-4103-a5c0-ed1196b8b418 · outbound

This paper cites ISO/IEC 30134-9: Information technology — data centres — key performance indicators — part 9: Water usage effectiveness (WUE), 2022.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era ISO/IEC 30134-9: Information technology — data centres — key performance indicators — part 9: Water usage effectiveness (WUE), 2022

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T14:55:13.702631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eb34cb3-4d23-452a-b6c2-66ac9f1d066b · outbound

This paper cites Environmental Protection Agency.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era Environmental Protection Agency

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T14:55:13.702631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f9a0e9b-6e8d-4516-bf1c-ad8c967185d6 · outbound

This paper cites Hal- lett.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era Hal- lett

Reference 4

Resolution: verified exact; doi, observed 2026-07-12T14:58:54.653153Z

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.

Observation 41ca2751-a07d-4941-b90c-5443aa5cb146 · outbound

This paper cites Life cycle water use for electricity generation: a review and harmonization of literature estimates.Environmental Research Letters, 8(1):015031, 2013.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era Life cycle water use for electricity generation: a review and harmonization of literature estimates.Environmental Research Letters, 8(1):015031, 2013

Reference 5

Resolution: malformed identifier; no resolver link, observed 2026-07-12T14:55:13.702631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fadcc61-3eac-414e-8892-23c0a799633d · outbound

This paper cites Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T14:55:13.702631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7145fc6b-90ad-435e-b0d7-a986ed6da50c · outbound

This paper cites Islam, and Shaolei Ren.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era Islam, and Shaolei Ren

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T14:55:13.702631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df45fdc1-1d44-465f-8607-2824a4308f27 · outbound

This paper cites The water footprint of data centers.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era The water footprint of data centers

Reference 8

Resolution: verified exact; doi, observed 2026-07-12T14:58:54.631604Z

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.

Observation 0872797a-736e-4efa-8644-96841891866e · outbound

This paper cites United states data center energy usage report.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era United states data center energy usage report

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T14:55:13.702631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9fd67e6-8cb9-4253-a6e4-eee4be63a0c6 · outbound

This paper cites Aqueduct water risk atlas.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era Aqueduct water risk atlas

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T14:55:13.702631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f7be6cb-f716-4a8c-857c-92c2c61ec742 · outbound

This paper cites an unresolved cited work.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era Unresolved cited work

Reference 11

Resolution: verified exact; doi, observed 2026-07-12T14:58:54.620056Z

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.

Observation 4e05898d-8f83-49de-a4ba-85d3038ef1f4 · outbound

This paper cites Climate- and technology-specific PUE and WUE estima- tions for U.S.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era Climate- and technology-specific PUE and WUE estima- tions for U.S

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T14:55:13.702631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc682068-ae9e-44eb-b18f-3e2f79dcdbd4 · outbound

This paper cites Environmental Protection Agency.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era Environmental Protection Agency

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T14:55:13.702631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 103589ba-20c6-440d-b003-41ffc8ae964d · outbound

This paper cites Mayer, William B.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era Mayer, William B

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T14:55:13.702631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74b5f7d4-7c59-416e-8182-1cfc25de999e · outbound

This paper cites Mekonnen and Arjen Y.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era Mekonnen and Arjen Y

Reference 15

Resolution: verified exact; doi, observed 2026-07-12T14:58:54.605715Z

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.

Observation d66edfb7-2d29-4192-b670-32a650a442c9 · outbound

This paper cites 2024 environmental report.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era 2024 environmental report

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T14:55:13.702631Z

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Observation be8dd528-3e2c-4b9f-94d7-1c62849f2a93 · outbound

This paper cites 2024 environmental sustainability report.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era 2024 environmental sustainability report

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T14:55:13.702631Z

Source-reported events for the cited work

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Observation 252fecb0-9c7f-4c04-be04-58ed7e6a1bc9 · outbound

This paper cites 2024 sustainability report.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era 2024 sustainability report

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-12T14:55:13.702631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0862b8c6-9cb2-47b0-b003-8afac69448ce · outbound

This paper cites Assessing the Carbon Emissions and Energy Consumption of U.S. Hyperscale Data Centers.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era Assessing the Carbon Emissions and Energy Consumption of U.S. Hyperscale Data Centers

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T14:55:13.702631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bc71262-41b2-44af-a5ed-067e080cd378 · outbound

This paper cites Global river hydrography and network rout- ing: baseline data and new approaches to study the world’s large river systems.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era Global river hydrography and network rout- ing: baseline data and new approaches to study the world’s large river systems

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T14:55:13.702631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f55a92d5-937a-4a4e-a0fd-d5cc67cb8e68 · outbound

This paper cites Koomey, Eric R.

The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era Koomey, Eric R

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T14:55:13.702631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.