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The Claim That Spain Will Replace the Dollar with the Renminbi

FACTCHECK-25786D41 · Open-web fact verification · cross-language financial rumour

During US–Spain trade tensions, a Chinese-language social post claimed Spain had announced it would replace the dollar with the renminbi. The model must search across languages for official statements and authoritative reporting to judge the rumour.

Fact-checkingFinancial rumourCross-languageEnglish
5 / 8searches / page reads
50Kvisible characters at most
4scoring dimensions + 6 cap rules
3frontier models tested
< 65%frontier-model verdict accuracy
01

Highlights

A rumour from Chinese social media

The claim comes from a simplified-Chinese X post, while the evidence is mostly in Spanish- and English-language media; the model chooses its own search languages and keywords.

Scope the claim first

Who announced it, what was announced, and whether it became policy — the check requires breaking the claim down before finding evidence for each part.

Citations must be verifiable

Every piece of evidence must match a passage the model actually read; fabricated or unmatched citations directly lower the score cap.

Honest abstention is allowed

When evidence is insufficient the model may abstain. Abstaining earns analysis and clarity credit but not full evidence credit, so the reward encourages neither guessing nor blanket abstention.

02

Instruction excerpt

An excerpt of the instruction the agent actually receives, showing the task setup and constraints.

instruction.md · 179 chars

Verify the public claim with the controlled search/read tools and submit a verdict with evidence.

Claim

Spain has announced it will use the renminbi to replace the dollar.

Context

A simplified Chinese X post published on July 16, 2026, amid US-Spain trade tensions after Trump's NATO remarks.

Evidence cutoff

2026-08-06. Search results are filtered to this date.

NOTEThis is the model's entire public input; tool definitions and the submission format are omitted.

03

Search environment

5searches (raw page text, no generated summaries)
8page reads
50Kvisible characters at most
2026.08.06evidence cutoff; later pages are filtered out

No attachments: all evidence comes from the model's own open-web searching and reading. The full tool-call record (queries, pages opened, passages cited) is saved with every attempt for traceability.

04

Scoring design

4scoring dimensions
+ 6 cap rules

Full criteria text, weights and reference answers ship with the complete data package.

4 scoring dimensions plus 6 cap rules, scored out of 100 and emitted as reward = score / 100.

  • Dimensions: verdict correctness, evidence support, analysis quality and clarity
  • Only web passages the model actually retrieved and cited count as evidence; with no valid citation the total is capped
  • Wrong target, core reasoning errors and unverifiable citations each trigger their own score cap
  • The judge uses the fact-checker's full analysis as reference; reference articles and judge code ship with the complete data package
05

Model results

Frontier-model results under the same search tools, budget and judge.

20 sampled tasks · three-model test
ModelMean score / 100Mean time per taskVerdict accuracy
DeepSeek V4 Flash20 sampled tasks · three-model test76.7647.2 s58.8%
DeepSeek V4 Pro20 sampled tasks · three-model test73.2470.5 s64.7%
Seed20 sampled tasks · three-model test70.8894.2 s64.7%

Measured with the same search tools, budget and judge. All three models get the verdict right less than 65% of the time: searching and writing a rationale is not the same as judging correctly.

06

Specification

TASK SPECIFICATION
Task IDFACTCHECK-25786D41
Task formatHarbor task.toml · schema 1.4
Package version1.0.0
Agent time limit15 min
Verifier time limit5 min
Agent container1 vCPU · 512 MB memory
Toolssearch · open · find · submitExecuted by a controlled tool gateway; the agent has no shell or local file access
Search budget5 searches · 8 reads · 50,000 visible characters · 13 tool rounds
Evidence cutoff2026-08-06Search results are filtered at the cutoff
Instruction length179 characters
DatasetFactCheck-200 · 200 tasks
Search serviceTavily raw_content, filtered at the cutoff
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