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Evidence inspector

Asia-Pacific · 2026-07-10

The receipts. This is the exact material every model was shown for this day and region, followed by what each of them made of it — in its own words, next to the number it gave.

It is worth reading once even if you skip everything else: it is where confident-sounding reasoning and a score that turns out to be no better than chance sit side by side.

Why the evidence is identical, and how you can check

Evidence is gathered once per (date, region, depth_profile), hashed, and reused for every model in the run. A disagreement below is therefore a disagreement about identical input, not two models getting different search results. The evidence hash shown on this page is what makes that checkable.

Evidence hash
366e5d383be870c8f0c71538b197bdfb18dcb03a03309f4aa36a373916d5a2f6

SHA-256 over the canonically serialised payload minus the hash itself, so it is stable across processes and machines. It is stored on the run and on every score row below — provenance is checkable, not asserted. Every score row below carries this same hash.

Source material · 10

shallow

These headlines, in this order, are the entire world the models were given. Nothing else about Asia-Pacific on 2026-07-10 was in the prompt.

07

Middle East crisis takes toll on labor market

The crisis in the Middle East that broke out in late February has already taken a toll on businesses and the labor market, threatening livelihoods across...

global.chinadaily.com.cn

Extracts: not gathered at shallow depth — Stage 7 populates extracts only for standard and deep profiles. Zero here means "not requested", not "requested and empty". Full article texts: not gathered at shallow depth — only the deep profile fetches them.

The shallow profile requests 20 headlines and 10 are stored. That is a known provider cap, not a clipped payload: the Serper news endpoint returns at most 10 items per request regardless of the count asked for, and pagination has not been added. The three profiles currently differ in enrichment, not in headline breadth.

Model rationales

prompt p1

Same headlines, same rendered prompt, different readings. Where two models diverge, the disagreement is about interpretation, because the input was byte-identical and the hash proves it. The scored verdicts here span 19.0 points of the 0-100 scale.

deepseek-reasoner
deepseek
55.0
okUnstable

The region faces multiple concurrent pressures including accelerating inflation in Japan, disruptive impacts from the Middle East crisis on labor and supply chains, and rising cyber threats that now extend to physical infrastructure. While no single event is catastrophic, the combination of economic, health, and security challenges suggests significant instability that could escalate.

evidence 366e5d383be8…prompt p1
claude-haiku-4-5
anthropic
42.0
okElevated

The Asia-Pacific region faces multiple concurrent pressures including accelerating inflation in Japan, growing cyber fraud networks exploiting regulatory gaps, and emerging threats from cyberattacks on critical infrastructure. However, these challenges remain manageable within existing institutional frameworks, with no evidence of acute military conflict, state collapse, or systemic financial crisis in the region itself, though external factors like Middle East tensions and climate-related disease risks create underlying vulnerabilities.

evidence 366e5d383be8…prompt p1
gemini-3.1-pro-preview
google
42.0
okElevated

Regional stability is facing moderate pressure from economic headwinds, including Japan's spiking inflation and a Chinese helium export ban that threatens semiconductor supply chains. Additionally, growing cybersecurity threats targeting physical infrastructure and the proliferation of scam hubs highlight persistent regulatory and security vulnerabilities.

evidence 366e5d383be8…prompt p1
llama-3.3-70b-versatile
groq
40.0
okElevated

The region is experiencing various challenges, including rising inflation in Japan, the growth of cyber scam hubs, and the impact of climate change on infectious diseases, which contribute to an elevated chaos score. However, the presence of positive economic indicators, such as the growth of the energy and utilities analytics market and strong earnings from companies like WD-40, prevent the score from reaching more severe levels.

evidence 366e5d383be8…prompt p1
claude-opus-5
anthropic
36.0
okElevated

No armed conflict or governance breakdown is reported within APAC itself, but the evidence shows meaningful strain: Japanese wholesale inflation at a three-year high, Middle East war spillover into labor markets and supply chains, and China's temporary helium export ban affecting semiconductors. Persistent transnational cyber-scam hubs in Southeast Asian special economic zones and rising attacks on telecom/physical infrastructure add enforcement and security pressure without indicating acute crisis.

evidence 366e5d383be8…prompt p1

Every model returned a parseable verdict for this evidence, so no failure card is shown. Non-ok rows are rendered by the same component — with error_text where the rationale would be — and are covered by tests/rationale_card_test.tsx.