{"schema_version":"onlylabs.public_signal.v1","title":"Amazon (Nova) Repo: amazon-science/agent-ecc","description":"Amazon (Nova) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/e90daecf-0838-4660-9a8e-000fd8d43ea5","json_url":"https://onlylabs.fyi/signals/e90daecf-0838-4660-9a8e-000fd8d43ea5/signal.json","generated_at":"2026-10-24T20:19:40.201Z","evidence_latest_fetched_at":"2026-10-22T07:01:43.604092+00:00","signal_first_seen_at":"2026-10-22T07:00:37.834063+00:00","org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/amazon","dossier_json_url":"https://onlylabs.fyi/labs/amazon/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/e90daecf-0838-4660-9a8e-000fd8d43ea5","signal_json":"https://onlylabs.fyi/signals/e90daecf-0838-4660-9a8e-000fd8d43ea5/signal.json","source":"https://github.com/amazon-science/agent-ecc","lab_dossier":"https://onlylabs.fyi/labs/amazon","lab_dossier_json":"https://onlylabs.fyi/labs/amazon/dossier.json","analysis":"https://onlylabs.fyi/analysis/amazon","analysis_json":"https://onlylabs.fyi/analysis/amazon/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/amazon/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Amazon (Nova) published amazon-science/agent-ecc (Python). 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Agent ECC is the open-source implementation of *Epoch-Consistent Commit*. In asynchronous agent training, trajectories are generated, graded and buffered long before a learner step consumes them, while the things that decide their labels keep changing: test labels are fixed, test suites are hardened, evaluators are patched, worlds are refreshed. A label recorded under one grader and trained after another has been published is a label nobody chose. 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