{"paper":{"title":"Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"Experiments can be encoded as declarative configurations that AI agents generate and systems compile to control any lab instrument.","cross_cats":["cs.AI","cs.SY"],"primary_cat":"eess.SY","authors_text":"Ang Chen, Danai Koutra, Hongyi Lin, Patrick Tser Jern Kon, Tongyuan Miao, Venkat Viswanathan, Yuhan Chen, Zhenning Yang","submitted_at":"2026-05-06T00:50:34Z","abstract_excerpt":"To unleash the full potential of AI for Science, we must untether the agents from a purely digital environment. The agent's ability to control and explore in real-world labs is essential because the physical lab remains foundational to scientific discovery. While some tasks can be performed on a computer (e.g., data analysis, running simulated experiments), Eureka moments could occur at any time while operating lab instruments (e.g., when a scientist notices unexpected clues, intuition may prompt a real-time course change). Although autonomous labs are on the rise, which expose programmable AP"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"This is a general stack that is science-, lab-, and instrument-independent, representing a novel synthesis across the physical, systems, and intelligence layers to unleash the next breakthrough in AI for Science.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That declarative configurations can adequately capture the complexity, adaptability, and real-time decision-making required for physical experiments, including handling unexpected observations during execution.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"Experiment-as-Code Labs encodes experiments as declarative configurations that AI agents generate, systems software analyzes and orchestrates, and device APIs execute on physical lab hardware.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"Experiments can be encoded as declarative configurations that AI agents generate and systems compile to control any lab instrument.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"16c9f7c27b058c1a81b5efad9d1d8662408dc5cb1e47b96aabe36e73b7b457f3"},"source":{"id":"2605.04375","kind":"arxiv","version":2},"verdict":{"id":"4a57655f-64e2-48bb-9ae1-c4e3d8e3834c","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-08T17:25:42.152041Z","strongest_claim":"This is a general stack that is science-, lab-, and instrument-independent, representing a novel synthesis across the physical, systems, and intelligence layers to unleash the next breakthrough in AI for Science.","one_line_summary":"Experiment-as-Code Labs encodes experiments as declarative configurations that AI agents generate, systems software analyzes and orchestrates, and device APIs execute on physical lab hardware.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That declarative configurations can adequately capture the complexity, adaptability, and real-time decision-making required for physical experiments, including handling unexpected observations during execution.","pith_extraction_headline":"Experiments can be encoded as declarative configurations that AI agents generate and systems compile to control any lab instrument."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.04375/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"doi_title_agreement","ran_at":"2026-05-19T23:01:20.053007Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"doi_compliance","ran_at":"2026-05-19T14:29:50.528113Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"de47bc27c577ff55d558642953c25e3925c4ede784fcd31bfdfa14c4b0de3b06"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}