Pith Number

pith:RU2R26PD

pith:2026:RU2R26PDIZY7G5G2QSADYBK5DI

not attested not anchored not stored refs pending

UniPCB: A Generation-Assisted Detection Framework for PCB Defect Inspection

Huanqi Wu, Huan Zhang, Jiangzhong Cao, Lianghong Tan, Linwei Zhu, Xu Zhang, Yichu Xu, Zishan Su

A joint generation-detection framework for PCBs uses multi-modal synthesis to augment scarce defect data and reach 98.0 percent mAP@0.5.

arxiv:2605.04635 v3 · 2026-05-06 · cs.CV

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\pithnumber{RU2R26PDIZY7G5G2QSADYBK5DI}

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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

UniPCB achieves mAP@0.5 of 98.0% and mAP@0.5:0.95 of 61.8% on defect detection, surpassing all compared methods, while the generation branch attains an FID of 129.61 and SSIM of 0.619, outperforming existing conditional generation approaches.

C2weakest assumption

The synthesized defect samples are realistic and distributionally aligned enough with real IIoT data that adding them improves detection performance without introducing artifacts or domain shift that harms real-world accuracy.

C3one line summary

UniPCB reaches 98.0% mAP@0.5 on PCB defect detection by synthesizing realistic defects via multi-modal diffusion and feeding them into an attention-based detector.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-27T01:04:58.756585Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

8d351d79e34671f374da84803c055d1a331c0137cec4d203416b5fbf30ea5136

Aliases

arxiv: 2605.04635 · arxiv_version: 2605.04635v3 · doi: 10.48550/arxiv.2605.04635 · pith_short_12: RU2R26PDIZY7 · pith_short_16: RU2R26PDIZY7G5G2 · pith_short_8: RU2R26PD

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/RU2R26PDIZY7G5G2QSADYBK5DI \
  | 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: 8d351d79e34671f374da84803c055d1a331c0137cec4d203416b5fbf30ea5136

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "7ea85958ab3bc1c7390454d0feef19315224291842742895f06c8f4b7dd91e8a",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-06T08:30:27Z",
    "title_canon_sha256": "1617f7365c8db5979c64f6d53e79119a87caa51b38845442f9bb146b64ec9289"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.04635",
    "kind": "arxiv",
    "version": 3
  }
}