GPAI Ledger The public record of EU AI Act training-data summaries

GPAI LedgerGPAI Training Transparency tracker (AI Accountability Lab (AIAL)) › Capture 12 Sep 2026

Nemotron Nano — capture 20260912T062301Z

Filed under AI Accountability Lab (AIAL) — GPAI Training Transparency tracker, the source this project captured it from; the assessment itself is of the model named above.

ProviderNVIDIA
TargetAIAL evaluation (earlier state) — https://raw.githubusercontent.com/AIAccountabilityLab/gpai-training-transparency/de4ce42e6d48cdc2baf75200ac94b221a72016ae/evals/nvidia-nemotron-nano.yaml
Fetched (UTC)2026-09-12T06:23:01Z
Upstream commit10 Sep 2026 — de4ce42e6d48 (when this state began to stand in the upstream repository; this archive fetched it at the time above, not then)
Stored file3,292 bytes — not served (third-party research, archived but not republished here); the hash and timestamp proof below still establish what was published when
SHA-256f70dbd4c2b3b843a9bc93b324476f7dd83ce3ccd90a3721af582861797a862e3
OpenTimestamps prooff70dbd4c2b3b843a9bc93b324476f7dd83ce3ccd90a3721af582861797a862e3.yaml.20260912T062301Z.ots (calendar-attested; anchored in bitcoin over time)
Waybacknot saved
Prior capture of this target— first capture of this target

Verify: obtain the file from the target address above, then sha256sum it — it must equal the hash above; the .ots proof dates that hash.

Structured facts

This is another organisation's own research, and this project does not redistribute it: the file itself is not served here; these facts still pin its identity and let any copy be authenticated against this record.

Document size3,292 bytes
Canonical text SHA-256c4a494da65e6c99110ef2e21f05db6cfb59ab2496021874c06fb90b1504c2e7a
Extracted text length372 words