Pith Number

pith:CU5QNQ3I

pith:2026:CU5QNQ3IJLCT4QKXAYA66P2UBT

not attested not anchored not stored refs pending

AI-Driven Predictive Maintenance with Environmental Context Integration for Connected Vehicles: Simulation, Benchmarking, and Field Validation

Anjum Nazir Qureshi (Rajiv Gandhi College of Engineering Research, India), Kushal Khemani (Independent Researcher, Technology)

Integrating vehicle sensors with environmental context detects all wear events with 12.2-day mean error.

arxiv:2603.13343 v3 · 2026-03-07 · cs.LG · cs.AI · cs.SY · eess.SY

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\usepackage{pith}
\pithnumber{CU5QNQ3IJLCT4QKXAYA66P2UBT}

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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

✓ 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

Across six wear-driven events spanning four vehicles, the model achieves 100% detection with mean MAE of 12.2 days.

C2weakest assumption

The 11 service events identified from component wear resets in 992 trips across five vehicles in three countries are representative and sufficient to support 100% detection and generalizability claims.

C3one line summary

A contextual fusion model for vehicle predictive maintenance detects all six wear-driven events in real multi-country data with 12.2-day mean error and improves F1 by 2.6 points when context is added.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-06-24T01:15:01.833672Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

153b06c3684ac53e41570601ef3f540cdca34f6af6fc8f1e71dc01c5fd7176f3

Aliases

arxiv: 2603.13343 · arxiv_version: 2603.13343v3 · doi: 10.48550/arxiv.2603.13343 · pith_short_12: CU5QNQ3IJLCT · pith_short_16: CU5QNQ3IJLCT4QKX · pith_short_8: CU5QNQ3I

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/CU5QNQ3IJLCT4QKXAYA66P2UBT \
  | 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: 153b06c3684ac53e41570601ef3f540cdca34f6af6fc8f1e71dc01c5fd7176f3

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "28d6994bb34a16236a00015067fa2ee59cb55a47f6870f0850aeea91e2f2d487",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.SY",
      "eess.SY"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-03-07T06:08:45Z",
    "title_canon_sha256": "d903f0311f1a7b4a559f6c354915f964b325d7ca8f4bbbd89526730aa9efd9f5"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2603.13343",
    "kind": "arxiv",
    "version": 3
  }
}