Evidence Library

Every piece of evidence undergoes structured verification: Claim → Evidence → Source → Verification. Transparent, traceable, and challengeable.

16

Total Evidence Count

10

Verified

6

Rejected

0

Pending verification

Source Type

Verification Status

ID

EV-2026-020

Official Report

Source

E01 Report (CJK 42.6% Standard Not Found)

Description

China, Japan, and South Korea account for approximately 42.6% of the market share in the Asia-Pacific region. Unable to verify.

Reliability:Low

Verification Status

Rejected

ID

EV-2026-016

Official Report

Source

Source not specified

Description

An AI detection system case report claims annual rework cost savings of approximately $3.8 billion. This appears to be an order-of-magnitude error; the closest verified data indicates annual savings of $380 thousand.

Reliability:Low

Verification Status

Rejected

ID

EV-2026-017

white paper

Source

Lincode Technical Analysis Report

Description

In real-world production, approximately 34% of manufacturing defects may still go undetected by AI inspection systems. This statistic originates from traditional visual inspections where defects were missed, not from AI system failures.

Reliability:Low

Verification Status

Verified

ID

EV-2026-018

Academic Paper

Source

NVIDIA Tech Blog and arXiv: 2508.06638

Description

When the new defect rate is below one in ten thousand, collecting sufficient training samples is practically unfeasible in engineering. This judgment belongs to the research team regarding misclassification sources.

Reliability:Medium

Verification Status

Verified

ID

EV-2026-019

Official Report

Source

Morning Overview Research Report (Institution Not Found)

Description

AI models exhibit unstable performance on edge cases in visual reasoning tasks. Verification failed.

Reliability:Low

Verification Status

Rejected

ID

EV-2026-009

white paper

Source

PW Consulting "Worldwide AI-Based Visual Inspection Market 2026"

Description

The global AI visual inspection market was valued at approximately 82.1 billion USD in 2025, projected to reach 265.5 billion USD by 2032, with a CAGR of 18.25%. While the figures are accurate, the original submission incorrectly cited Polaris Market Research; the actual source is PWConsulting.

Reliability:Medium

Verification Status

Verified

ID

EV-2026-010

Official Report

Source

GGII/China Merchants Industry Research Institute

Description

The Chinese machine vision market exceeded 210 billion RMB in 2025. However, the +28.6% growth rate cannot be traced to public sources; GGII reported a growth rate exceeding 14% for 2025.

Reliability:Medium

Verification Status

Verified

ID

EV-2026-011

Official Report

Source

CATL Official Website: "The Only One in the World! CATL Wins Industrial 4.0 Award for Consecutive Years"

Description

The Liyang factory's AI inspection system boosts detection efficiency by 60% and reduces cell failure rates to the DPPB level (one in a billion). Note: The official term is "cell failure rate," not "defect rate."

Reliability:High

Verification Status

Verified

ID

EV-2026-012

Academic Paper

Source

ACM Academic Paper (Paper Not Found)

Description

After deploying AI-powered visual inspection at BYD's Chongqing lithium battery production line, leakage rates dropped from 10% to 1.2%, utilizing 500 high-speed cameras. This data could not be verified; multiple bilingual searches yielded no results.

Reliability:Low

Verification Status

Rejected

ID

EV-2026-013

Official Report

Source

Huawei Enterprise Business Solution Case Studies

Description

Shenzhen Foxconn Intelligent Photovoltaic Controller Production Line: Ascend Manufacturing AI Quality Inspection. Monthly output: 6000+ units, overall accuracy: >99%

Reliability:High

Verification Status

Verified

ID

EV-2026-014

Official Report

Source

No source

Description

The rework rate dropped significantly from above 20%. Huawei's official press release did not disclose the rework rate data.

Reliability:Low

Verification Status

Rejected

ID

EV-2026-015

white paper

Source

Source not specified

Description

The AI detection system achieves 99.94% accuracy and 99.97% recall across 147 defect types. Verification failed.

Reliability:Low

Verification Status

Rejected

ID

EV-2026-004

Field research

Source

Survey of 3 Community Health Centers in Zhejiang Province

Description

Field survey report on AI-assisted diagnostic systems in 3 community health centers in Zhejiang Province

Reliability:High

Verification Status

Verified

Publish2025/11/10

ID

EV-2026-007

Official Report

Source

Digital Report on Community Fresh Food Supply Chains

Description

Ministry of Commerce's Report on Digital Transformation of Community Commerce

Reliability:High

Verification Status

Verified

Publish2025/10/1

ID

EV-2026-008

Field research

Source

On-site survey of 10 community fresh food stores in Shanghai

Description

On-site survey of AI supply chain systems at 10 community fresh food stores in Shanghai

Reliability:High

Verification Status

Verified

Publish2025/11/20

ID

EV-2026-003

Academic Paper

Source

Evaluation of AI-Assisted Diagnostic Effectiveness at the Primary Care Level

Description

Evaluation of a Primary Care AI-Assisted Diagnosis System: A Study Published in the Chinese Medical Journal

Reliability:Medium

Verification Status

Verified

Publish2025/9/20