Pith Number

pith:O4KK4I2R

pith:2025:O4KK4I2R75Z65ECDVHFCDS6VM7

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Quantifying the Climate Risk of Generative AI: Region-Aware Carbon Accounting with G-TRACE and the AI Sustainability Pyramid

Mehwish Fatima, Raja Khurram Shahzad, Seemab Latif, Zahida Kausar

Generative AI image trends can consume 4,309 MWh and emit 2,068 tCO2 according to the new G-TRACE framework, highlighting climate risks from decentralized inference.

arxiv:2511.04776 v3 · 2025-11-06 · cs.CY · cs.CL

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\pithnumber{O4KK4I2R75Z65ECDVHFCDS6VM7}

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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

Through G-TRACE and microscopic simulation, the study estimates 4,309 MWh of energy consumption and 2,068 tCO2 emissions from the Ghibli-style image generation trend, illustrating how decentralized inference amplifies small per-query energy costs into system-level impacts.

C2weakest assumption

The emission estimates rest on the accuracy of real-world analytics and microscopic simulation inputs for per-query energy costs and regional carbon intensities, which are invoked to scale individual actions to tonne-scale consequences but are not detailed or validated in the provided abstract.

C3one line summary

G-TRACE quantifies region-aware GenAI emissions and estimates 4,309 MWh energy use plus 2,068 tCO2 from the Ghibli-style image generation trend, paired with the AI Sustainability Pyramid for translating metrics into policy.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T01:05:01.100941Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

7714ae2351ff73ee9043a9ca21cbd567c502e8903635f02c639928f1cfd46c7c

Aliases

arxiv: 2511.04776 · arxiv_version: 2511.04776v3 · doi: 10.48550/arxiv.2511.04776 · pith_short_12: O4KK4I2R75Z6 · pith_short_16: O4KK4I2R75Z65ECD · pith_short_8: O4KK4I2R

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/O4KK4I2R75Z65ECDVHFCDS6VM7 \
  | 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: 7714ae2351ff73ee9043a9ca21cbd567c502e8903635f02c639928f1cfd46c7c

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "24a4c6c5c9926c08fca985fbe24bf0c7987f0dd4d480dc0839f6b55f4fd7f20e",
    "cross_cats_sorted": [
      "cs.CL"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CY",
    "submitted_at": "2025-11-06T19:52:02Z",
    "title_canon_sha256": "15362acb87eca8ebff6f7beb590b6f0aec5513d34bc5740ca57c53cae759761a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2511.04776",
    "kind": "arxiv",
    "version": 3
  }
}