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 20260912T062913Z

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/c51789900b4ca296dfd0c9f95d17c0df9f53a521/evals/nvidia-nemotron-nano.yaml
Fetched (UTC)2026-09-12T06:29:13Z
Upstream commit11 Sep 2026 — c51789900b4c (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-256e9214bfdcf59d62d59fc41c8267f4570d1263e38293205ebb6d76c44bbc3c2cd
OpenTimestamps proofe9214bfdcf59d62d59fc41c8267f4570d1263e38293205ebb6d76c44bbc3c2cd.yaml.20260912T062913Z.ots (calendar-attested; anchored in bitcoin over time)
Waybacknot saved
Prior capture of this targetf70dbd4c2b3b843a9bc93b324476f7dd83ce3ccd90a3721af582861797a862e3 (captured 2026-09-12T06:23:01Z)

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-25612e589df43d6f121d18baba5a06cfcd93d48a5429b58452ec47d7754d88de7ce
Extracted text length372 words