{"schema_version":"onlylabs.public_signal.v1","title":"Microsoft Repo: microsoft/delegate52","description":"Microsoft repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/166b8a7e-9e13-4cfb-bd0e-8d30e9959113","json_url":"https://onlylabs.fyi/signals/166b8a7e-9e13-4cfb-bd0e-8d30e9959113/signal.json","generated_at":"2026-06-27T00:26:57.174Z","evidence_latest_fetched_at":"2026-06-12T07:03:48.256241+00:00","signal_first_seen_at":"2026-06-12T07:00:26.598093+00:00","org":{"slug":"microsoft","name":"Microsoft","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/microsoft","dossier_json_url":"https://onlylabs.fyi/labs/microsoft/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/166b8a7e-9e13-4cfb-bd0e-8d30e9959113","signal_json":"https://onlylabs.fyi/signals/166b8a7e-9e13-4cfb-bd0e-8d30e9959113/signal.json","source":"https://github.com/microsoft/delegate52","lab_dossier":"https://onlylabs.fyi/labs/microsoft","lab_dossier_json":"https://onlylabs.fyi/labs/microsoft/dossier.json","analysis":"https://onlylabs.fyi/analysis/microsoft","analysis_json":"https://onlylabs.fyi/analysis/microsoft/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/microsoft/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":"Microsoft published microsoft/delegate52 (Python). 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organization build priorities early, especially around internal tooling, eval infrastructure, data systems, deployment, and agent workflows.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/166b8a7e-9e13-4cfb-bd0e-8d30e9959113/signal.json","required":true},{"label":"source","url":"https://github.com/microsoft/delegate52","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/microsoft/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/microsoft/evidence.json","required":true},{"label":"topic_signals_json","url":null,"required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze Microsoft's repo signal 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model.."},{"subject":"microsoft/delegate52","predicate":"has notability","object":"Solid new Microsoft repo with modest initial stars","text":"microsoft/delegate52 has notability Solid new Microsoft repo with modest initial stars."}]},"intelligence":{"signal_desk":"repos","answer":"Microsoft published microsoft/delegate52 (Python). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. 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The repository enables reproduction of experiments from our paper: \"[LLMs Corrupt Your Documents When You Delegate](https://arxiv.org/abs/2604.15597)\". **Dataset:** [microsoft/delegate52 on Hugging Face](https://huggingface.co/datasets/microsoft/delegate52) What Can DELEGATE-52 Do? DELEGATE-52 simulates long-horizon delegated workflows where LLMs edit professional documents on behalf of knowledge workers. The code enables round-trip relay simulations: given a seed document, the LLM performs a structural edit (the \"forward\" edit), and then a second editing task that undoes that edit (the \"backward\" edit). 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