FilingsCheck v1.2 — the fiscal-frame edition, deployed node

How AI models perform when asked for figures reported in SEC filings, with every claim verified against the primary source as filed, and every grade sealed, provable, and reproducible. Nothing on this page asks for trust.

Published 2026-09-23 962 sealed grades Total elicitation spend $0.18945025

The engine scorecard: read this first

Artizar's own accuracy is measured by adversarial probes, not by the models under test: every run injects known-answer probes (true controls plus deliberate falsehoods) and the engine is graded on catching them.

776 / 776
probes graded as expected, across all runs
0
false greens: planted falsehoods graded confirmed
0
false alarms: true controls graded contradicted
RunProbes as expectedFalse greensFalse alarms
claude-haiku-4-5194 / 19400
claude-sonnet-5194 / 19400
gpt-5.4-mini194 / 19400
gpt-5.4194 / 19400

A false green is the failure this system exists to not have.

The model matrix

Each model is asked for exactly the fact the engine verifies and may abstain. The headline is supported / asserted; abstentions are honest and excluded from the denominator. A low headline is not an engine failure: it is the engine catching a model's errors, with a sealed record for each catch.

Model (version as served)SupportedContradictedAbstainedHeadlineElicitation cost
claude-haiku-4-5-20251001 (anthropic)9401618.4% (9/49)$0.038693
claude-sonnet-5 (anthropic)36121775.0% (36/48)$0.082659
gpt-5.4-mini-2026-03-17 (openai)25202055.6% (25/45)$0.01668075
gpt-5.4-2026-03-05 (openai)3592179.5% (35/44)$0.0514175

Verify this edition yourself

Each model's run ships as a complete fcbundle/v1 bundle. One command per bundle checks, offline, every sealed grade's full chain: the Ed25519 seal signature, the commitment recompute, the audit-log entry hash, the witnessed inclusion proof, report ↔ sealed-verdict consistency, and the prompt-version label against the claims. Any failure is a named error.

python -m artizar verify-bundle bundles/anthropic-claude-haiku-4-5
python -m artizar verify-bundle bundles/anthropic-claude-sonnet-5
python -m artizar verify-bundle bundles/openai-gpt-5.4-mini
python -m artizar verify-bundle bundles/openai-gpt-5.4

Key provenance, stated plainly: deployed (operator-published; https://artizar.ai/.well-known/artizar-keys.json; S74 ceremony 2026-07)

Version labels

Comparisons across editions are apples-to-oranges unless these match; the edition assembler refuses mixed-version bundles structurally, and each label below is read from the sealed artifacts, never typed by hand.

SurfaceVersion
Tasksettaskset-v10
Elicitation promptv2 · template sha256 fb0029a26d6e91aea980639ce2e4b3b8cb2f2ed7c663d22bcc6f4875a9dfa6a7
Scoring policypolicy-v7
Period bindingbinding-v4
Metric lexiconlexicon-v5
Harness / reportfilingscheck/v2
Verdict schemaverdict-v4
Context notesnotes-v4
Pricing tableprices-2026-06-24
Bundle formatfcbundle/v1