Pith Number

pith:OBVIPJ2X

pith:2026:OBVIPJ2XS5ZJMJSQITHYKSQFST

not attested not anchored not stored refs pending

GCA Framework: A GCC Countries-Grounded Dataset and Agentic Pipeline for Climate Decision Support

Fahad Shahbaz Khan, Khawar Shehzad, Muhammad Haris Khan, Muhammad Umer Sheikh, Salman Khan

Domain fine-tuning on a GCC-grounded climate dataset plus tool integration raises LLM reliability for regional decision support.

arxiv:2604.12306 v3 · 2026-04-14 · cs.LG · cs.AI

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\usepackage{pith}
\pithnumber{OBVIPJ2XS5ZJMJSQITHYKSQFST}

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

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

Domain fine-tuning and tool integration substantially improve reliability over general-purpose baselines on climate tasks in the GCC states.

C2weakest assumption

The curated 200k QA pairs and remote-sensing inputs are sufficiently representative and high-quality to ground the agent for real decision support.

C3one line summary

A GCC-grounded multimodal dataset and tool-augmented agent improve LLM performance on regional climate analysis tasks over general baselines.

Cited by

2 papers in Pith

TerraBench: Can Agents Reason Over Heterogeneous Earth-System Data?

Receipt and verification

First computed	2026-06-10T01:08:35.259228Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

706a87a757977296265044cf854a0594cfec20ac969d6dc978f19cce92a77502

Aliases

arxiv: 2604.12306 · arxiv_version: 2604.12306v3 · doi: 10.48550/arxiv.2604.12306 · pith_short_12: OBVIPJ2XS5ZJ · pith_short_16: OBVIPJ2XS5ZJMJSQ · pith_short_8: OBVIPJ2X

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/OBVIPJ2XS5ZJMJSQITHYKSQFST \
  | 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: 706a87a757977296265044cf854a0594cfec20ac969d6dc978f19cce92a77502

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "79a2b4d80412fe69507815a7056e5372f193d7428ad510dddf646ad2b096a2ab",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-04-14T05:31:40Z",
    "title_canon_sha256": "555417a64cd8ea5864ce2f5016b9697386b9c37b7316548e0d0f4dd2e4447310"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.12306",
    "kind": "arxiv",
    "version": 3
  }
}