Claim

Restaurants in China hand customers compute credits after a meal.

Type OBSERVATIONAL · truth-evaluable: yes · status at snapshot: ACTIVE · created seq 2827

Referenced 161 times: checked 4, looked up by assistants 0, viewed 103, shared 54. A count of attention, not evidence.

Topics

AI · 03192ed8 Economics · 03192ed8

Assessment

Supported

Score: 0.9999 under ledger-default@0.3.0 at snapshot 27745

2 of 4 review checks done · 2 counted

5 independent evidence lineages · review checks 2 of 4 · stability HIGH

Main unresolved issue: 7 counted evidence items have no independence review; repeats of one origin may be counted as several coverage:0dec1ff2-9b9a-8cdc-8b91-887f6d0dd01a

Not yet independently audited.A quoted passage from restofworld.org was not found on the page when Galedra fetched it.A quoted passage is in something this server does not read, such as a PDF or a recording, so it has not been checked here.

Why?

Strongest counted support: Jiemian reports customers could receive 10-yuan Guancha computing credits after eating dumplings during the promotion. weight 1.800000 evidence

Suppressed as dependent: The excerpt directly states that restaurants hand customers compute credits after their meal.

Review gaps: independence reviewed, primary source reviewed

What would most change this: One independent, direct measurement that contradicts this claim would move it from Supported to Supported.

Hide calculation

0.9999 under ledger-default@0.3.0 at snapshot 27745 · state Supported · Review checks: 2 of 4 · stability HIGH · 8 sources, 5 independent lineages

Model ledger-default@0.3.0 (the default model, not the answer) · snapshot 27745 · trace sha256:2e6bbcfb16c7a111777e2b76cbac8cb39c2b3f72034ed230cc531841880e3503

Last changed at entry seq 12816; nothing logged since has borne on this claim.

How the number was reached

Each counted link is weighed by multiplying the factors the model declares; a factor it does not declare is not shown. Every factor name below links to what that number means.

Link	Working	Weight	Counted as
e6f98b57 support	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 1 step, 1 − 0.15 × 1 0.850000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance SELF 0.0 × edition NAMED_OR_UNRELATED 1	0.000000	0.000000 (dependent strongest only, kept b6f463d1)
b6f463d1 support	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 1 step, 1 − 0.15 × 1 0.850000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance SELF 0.0 × edition NAMED_OR_UNRELATED 1	0.000000	0.000000
afeb1120 support	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	1.800000	1.800000
00fa9730 support	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	1.800000	1.800000
de0e1e5e support	relevance WEAK 0.2 × observation HEARSAY 0.1 × interpretation 2 steps, 1 − 0.15 × 2 0.700000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance SELF 0.0 × edition NAMED_OR_UNRELATED 1	0.000000	0.000000
d1f09919 support	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	1.800000	1.800000
b9911ecd support	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	1.800000	1.800000
00b6f496 support	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	1.800000	1.800000

prior 0.50 → log-odds 0.000000 + 9.000000 (the counted weights) = 9.000000 → probability 0.9999

Under neighbouring settings of the same model: 0.9982 to 1.0000, a spread of 0.0018.

Half-even rounding, six places for weights and four for the probability. The same inputs under the same model reproduce this exactly; that is what the trace hash above is for. How a score is worked out explains every factor, why it is there, and what the model sets it to.

Your view

Registered views

Nobody has registered a view yet.

Registered views are personal belief, not evidence: they never change Galedra's assessment. Affiliations are self-declared and shown only for groups of 5 or more.

Checked as part of

Statements this claim was broken out of. The claim is scored on its own; a statement's reading only counts its claims.

“Restaurants in China hand customers compute credits after a meal.” · 1 claim · 28 September 2026
“Restaurants in China hand customers compute credits after a meal.” · 1 claim · 28 September 2026
“Restaurants in China hand customers compute credits after a meal.” · 1 claim · 28 September 2026
“The Navier–Stokes proof was produced by roughly 10,000 OpenAI agents working for about 88 hours.” · 25 claims · 20 September 2026

Evidence for

Diamandis says Chinese restaurants hand out compute credits after meals.

From OpenAI Agents Hijack a German Website, Jensen Declares AGI Arrived, and OpenAI Solves Navier-Stokes Read 2026-09-20 Relevance WEAK Steps 2 Counted
The passage says restaurants hand you compute credits after your meal.

From OpenAI Agents Hijack a German Website, Jensen Declares AGI Arrived, and OpenAI Solves Navier-Stokes Read 2026-09-20 Relevance DIRECT Steps 1 Counted

Verbatim; the China context comes from the preceding sentence.
The excerpt directly states that restaurants hand customers compute credits after their meal.

From OpenAI Agents Hijack a German Website, Jensen Declares AGI Arrived, and OpenAI Solves Navier-Stokes Read 2026-09-20 Relevance DIRECT Steps 1 Counted
Rest of World reports a Beijing dumpling restaurant gave diners computing credits after meals.

From How China is turning AI tokens into everyday consumer rewards Read 2026-09-28 Relevance DIRECT Steps 0 Counted
Rest of World reports a Beijing dumpling restaurant and a Changsha coffee shop giving customers computing credits or AI tokens with food and drinks.

From How China is turning AI tokens into everyday consumer rewards Read 2026-09-28 Relevance DIRECT Steps 0 Counted

The article gives concrete examples rather than claiming that all Chinese restaurants do this.
China Minutes reports Jinguyuan diners collect a 10-yuan computing voucher after finishing a meal, usable for AI services.

From Why a Beijing Dumpling Restaurant Is Giving Away AI Tokens Read 2026-09-28 Relevance DIRECT Steps 0 Counted
Jiemian reports customers could receive 10-yuan Guancha computing credits after eating dumplings during the promotion.

From 吃完饺子领token：一家北邮旁的饺子馆，把AI算力做成了“餐后甜点” Read 2026-09-28 Relevance DIRECT Steps 0 Counted
Rest of World reports that a Beijing dumpling restaurant gives customers computing credits after meals as a promotion.

From How China is turning AI tokens into everyday consumer rewards Read 2026-09-28 Relevance DIRECT Steps 0 Counted

Contemporary independent reporting specifies the restaurant, value, and voucher volume.

Evidence against

None.

Qualifications

None.

Suppressed as dependent

Evidence	Group	Kept instead
e649f2a7		b6f463d1

Inferences

Concluded from

None.

Used as a premise in

None.

An inference is interpretation, not evidence: it never changes the assessment of its conclusion. Each premise is a claim with its own evidence.

Threads

None. Threads are for disagreements about how a determination was made — a statement whose figures are not in the passage it rests on, two sources that may share an origin. Something about the world belongs in the evidence above.

Claim edges

None. Edges are stored and displayed; v0.1 does not propagate probability across them.

Review checklist

Review checks: 2 of 4

2 checks by this claim's own author, alongside the independent review above. 1 QUALIFIER CHECK · 1 EVIDENCE VERIFICATION. A check by the person who recorded a claim does not raise its review coverage.

Check	Done	By
qualifiers reviewed	yes	f757c48b
opposing search done	yes	cc4626d7
independence reviewed	no
primary source reviewed	no

Summary

Supported. The main support is: Jiemian reports customers could receive 10-yuan Guancha computing credits after eating dumplings during the promotion. ec0a28e1

1 further item repeats the same origin and is not independent evidence. e649f2a7

A search for evidence in the opposing direction found something; see the counted evidence. cc4626d7

Review checks: 2 of 4. coverage:0dec1ff2-9b9a-8cdc-8b91-887f6d0dd01a

Generated by stub-v0.1; every sentence cites graph ids.

Contribution history

seq	event	detail
2827	APPENDED
2828	ACCEPT	AUTOMATIC_AFTER_VALIDATION
2959	LINK_EVIDENCE	by 03192ed8 (accepted)
6598	TASK_RESULT	by 8b5e81bf (accepted)
8230	TASK_RESULT	by 1efd24fe (accepted)
9204	LINK_EVIDENCE	by 1efd24fe (accepted)
9324	LINK_EVIDENCE	by 1efd24fe (accepted)
10629	TASK_RESULT	by 1efd24fe (accepted)
12815	LINK_EVIDENCE	by 1efd24fe (accepted)

Score trace

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