Pith Number

pith:I2BQMU3K

pith:2026:I2BQMU3KISPFTYXGLUVD3I6UNA

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GenAI-Driven Approach to RISC-V Supply Chain Exploration

Alois Knoll, Andre Schamschurko, Nenad Petrovic, Yingjie Xu

LLM and VLM workflow turns unstructured RISC-V supply chain data into formal models for resilience analysis.

arxiv:2605.15223 v1 · 2026-05-13 · cs.AR · cs.AI

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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

The synergy between LLM- and VLM-based semantic understanding and MDE-based formal analysis supports both exploratory and systematic evaluation of supply chain resilience.

C2weakest assumption

That LLMs and VLMs can reliably extract accurate key entities and relationships from heterogeneous, unstructured supply chain data including visual artifacts without significant errors or hallucinations.

C3one line summary

An LLM- and VLM-powered workflow integrated with knowledge graphs and model-driven engineering is proposed for analyzing RISC-V semiconductor supply chain data and resilience.

References

31 extracted · 31 resolved · 1 Pith anchors

[1] In: 2025 8th International Conference on Electronics, Materials Engineering & Nano- Technology (IEMENTech) 2025

[2] White paper (2025), https://riscv.org/wp-content/uploads/2025/04/ RISC-V AIOpportunitiesChallenges 042825.pdf, accessed: 2026-04-25 2025

[3] In: 2023 12th Mediterranean Conference on Embedded Computing (MECO) 2023

[4] RISC-V Functional Safety for Autonomous Automotive Systems: An Analytical Framework and Research Roadmap for ML-Assisted Certification 2026 · arXiv:2604.17391

[5] In: 2025 2nd International Generative AI and Com- putational Language Modelling Conference (GACLM) 2025

Receipt and verification

First computed	2026-05-20T00:00:47.093443Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

468306536a449e59e2e65d2a3da3d4681ead69dac5497abdd06b400e522ceb91

Aliases

arxiv: 2605.15223 · arxiv_version: 2605.15223v1 · doi: 10.48550/arxiv.2605.15223 · pith_short_12: I2BQMU3KISPF · pith_short_16: I2BQMU3KISPFTYXG · pith_short_8: I2BQMU3K

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/I2BQMU3KISPFTYXGLUVD3I6UNA \
  | 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: 468306536a449e59e2e65d2a3da3d4681ead69dac5497abdd06b400e522ceb91

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "1f50dd57a15b5d7238e4e18cf9f1531ca50cc56d19ba9c00965abbec75636956",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AR",
    "submitted_at": "2026-05-13T08:36:57Z",
    "title_canon_sha256": "016d8cf3e9bf4775714ec4dfe96b4fa697b28c85419d43905541f25edbb63400"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.15223",
    "kind": "arxiv",
    "version": 1
  }
}