Pith Number

pith:RI7NGO4T

pith:2026:RI7NGO4T5CMJLUP4ZXN37AB2B7

not attested not anchored not stored refs resolved

Recasting AI Data Centers as Engines for Carbon Removal

Boyu Zhang, Hong Kong), Jiaze Ma (City University of Hong Kong, Jin Shang, Zhicong Fang

Integrating AI data center waste heat with direct air capture can yield net carbon removal in many US regions.

arxiv:2605.13114 v1 · 2026-05-13 · math.OC

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\usepackage{pith}
\pithnumber{RI7NGO4T5CMJLUP4ZXN37AB2B7}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

AIDC waste heat can substantially improve net CO2 removal and lower the levelized cost of capture. In carbon-intensive regions, integration can flip DAC from net-positive to net-negative. Under a 2030 scenario... several states achieve removal ratios above 1.

C2weakest assumption

Heat pumps can efficiently upgrade low-grade AIDC waste heat to the temperatures and energy levels required for effective DAC operation without prohibitive additional inputs or losses, based on region-specific climate and capacity data.

C3one line summary

AI data center waste heat upgraded by heat pumps can drive direct air capture to achieve net CO2 removal and offset operational emissions in several US states under current and 2030 scenarios.

References

49 extracted · 49 resolved · 1 Pith anchors

[1] Renewable and sustainable energy reviews , volume= 2014

[2] 2024 united states data center energy usage report , author= 2024

[3] Electric Power Research Institute: Washington, DC, USA , year=

[4] 2025 , url = 2025

[5] Applied Thermal Engineering , volume= 2024

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-18T03:08:58.066113Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

8a3ed33b93e89895d1fccddbbf803a0fc6affae53ed76842e51451fb0c0319e6

Aliases

arxiv: 2605.13114 · arxiv_version: 2605.13114v1 · doi: 10.48550/arxiv.2605.13114 · pith_short_12: RI7NGO4T5CMJ · pith_short_16: RI7NGO4T5CMJLUP4 · pith_short_8: RI7NGO4T

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/RI7NGO4T5CMJLUP4ZXN37AB2B7 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 8a3ed33b93e89895d1fccddbbf803a0fc6affae53ed76842e51451fb0c0319e6

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "93faa55312c89eea1c4bb1339b9ac5c5f34e7065461ce0c54860fa9194809369",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "math.OC",
    "submitted_at": "2026-05-13T07:33:51Z",
    "title_canon_sha256": "3c345394bb9e6a2320048b143bf28e0bd58ea5beaa6d9231c2bb75f92c721b94"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.13114",
    "kind": "arxiv",
    "version": 1
  }
}