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The AGI-to-ASI scaling debate (Genewein et al., 2026) has so far framed progress as a race between compute growth and a list of frictions (data wall, abstraction barrier, embodied bottleneck, multi-agent trust); we argue that environment determinism is a complementary binding axis cutting across all four, for the broad class of agentic AI tasks whose outcomes are verifiable economically, physically, or through multi-party settlement. Three formal results pin down the regime: a Determinism-Efficiency Bound on chain-task success, a Verifier-Goodharting Floor on flywheel ceilings under imperfect rewards, and a convergence condition for environment-side skill evolution. We operationalise the framework as a Supply Certainty Index (SCI) over five measurable properties, a five-level Determinism Maturity Model (DMM) as adoption","title":"Grounded Scaling: Why Agentic AI Needs Deterministic Environments","url":"https://arxiv.org/pdf/2606.22495v1","vendor":"arxiv"},"summary":"Long-chain agent execution fails exponentially in environments designed for human tolerance: with per-step determinism $δ< 1$, $k$-step chain success degrades as $δ^k$. The AGI-to-ASI scaling debate (Genewein et al., 2026) has so far framed progress as a race between compute growth and a list of frictions (data wall, abstraction barrier, embodied bottleneck, multi-agent trust); we argue that environment determinism is a complementary binding axis cutting across all four, for the broad class of agentic AI tasks whose outcomes are verifiable economically, physically, or through multi-party settlement. Three formal results pin down the regime: a Determinism-Efficiency Bound on chain-task success, a Verifier-Goodharting Floor on flywheel ceilings under imperfect rewards, and a convergence condition for environment-side skill evolution. We operationalise the framework as a Supply Certainty Index (SCI) over five measurable properties, a five-level Determinism Maturity Model (DMM) as adoption","title":"Grounded Scaling: Why Agentic AI Needs Deterministic Environments","vendor":"arxiv"},"confidence":{"method":"deterministic"},"decision":"POSITIVE","issued_at":"2026-06-23T05:54:06Z","notes":"Spider arxiv_retraction (research) research.arxiv_retraction.v1","object":{"captured_by":"crovia.spider.arxiv_retraction","primary_source_url":"https://arxiv.org/pdf/2606.22495v1"},"predecessors":[],"schema":"crovia.axiom.v1","signature":"ed25519:94c365ced93f30112527b265ce102b44da947ad65d97810b6fa5f287874fc6a8b72dba4b065ef6e8f94b6ca7183d7a2fe3a32ce590f21b72e2b0f994c9668e06","signer":"crovia.substrate","subject":{"observed_at":"2026-06-23T05:54:06Z","source_collector":"spider:arxiv_retraction","target_id":"https://arxiv.org/pdf/2606.22495v1"},"tsa":{"authority":"crovia.substrate.bootstrap","rfc3161_token":"{\"kind\":\"crovia.bootstrap.tsa\",\"source_jsonl\":\"/opt/crovia/spider/data/research/arxiv_retraction_v1.jsonl\",\"source_seal_merkle_root\":\"spider_arxiv_retraction_v1\",\"upgrade_path\":\"Sessione H \\u2014 OpenTimestamps weekly anchor\"}"},"zk_mode":"clear","zk_proof":null},"ledger":{"leaf_hash":"c2d3454bb68e250d999d447c19191728e4f230b250c9b7579873bf8097273596","leaf_index":241113,"ledger_path":"/opt/crovia/substrate/axiom_ledger.jsonl"},"merkle_proof":{"hash_alg":"sha256","leaf_prefix":"0x00","node_prefix":"0x01","odd_leaf_rule":"duplicate_last","path":[{"sibling":"0ee5155f316ac70fa50a898bde7cf3faf4a1c674bd637fe8effcc2728e7ad890","side":"left"},{"sibling":"75147e3f45f110cc1e32e1ae20d6cd110ae27cda5b42d8fd3f1f213da2f6422d","side":"right"},{"sibling":"2052c5988d9129f23f159e2b929ed5de523400c4011cb3efd3bc59838ed9ec82","side":"right"},{"sibling":"51358d1d5f5b0cea17d916fd9b961677888a2fdd768d878c1894ae8a8e952dc8","side":"left"},{"sibling":"510852d058b61715d621ec2f2e642f9324f1da2c8d97c48c1fb38ef0662d1eba","side":"left"},{"sibling":"9ddf4d4e62871b7b91b404ec66f8dc97f2dbd13160499ff0244174d6112575ee","side":"right"},{"sibling":"ac00a5b87bd062a3e32914bf26f6c6d95ec3dd935857ca4179de00c9ef7899e8","side":"left"},{"sibling":"44f146585efcc319743e0391baf03a68911abab40952701f82d25b817c9ffca5","side":"left"},{"sibling":"4a95601b6f7da1b2907d5f5701dac4344da73cb5185d03d84fb3a8324b07d40d","side":"left"},{"sibling":"ef58c215f521eb9d7cf13d6eab3c830b42897d036b5d754714b02f96b01e88b4","side":"right"},{"sibling":"f229236af6c533409ea4443e4967e4e145f4a5c63ffdaf22ec290666d3496ff8","side":"left"},{"sibling":"2f8979aa68b81a78cd2034e1fd02e22cb71de5fecfa58acae20d2393d1be8556","side":"left"},{"sibling":"dc006cb569510cc5030759ea38318db133d09292c5016d187b95b78b7735f1f8","side":"right"},{"sibling":"3a42039065acac6d3e4088ec61d9c116ecf7a26c7b7163d23da8fd0b3362e038","side":"left"},{"sibling":"a116bb92f9b0350491155b470acc86d006c33ec558759e49e56614a54c39f242","side":"right"},{"sibling":"a04392fb9f2a3a620840e3b3fecd93d12e6d224e481c162389d8ae64e7194599","side":"left"},{"sibling":"c300cf0154c136afc09b1702a0be98f4ba5b6dc5cf57e8cc714ec1eaf4196eff","side":"left"},{"sibling":"d841ad93efda0869e5eb97678f348f03f5caab4353e05ff4bf18f47fb945b822","side":"left"}]},"schema":"crovia.axiom_proof.v1","seal":{"first_collector_run_id":"","first_receipt_hash":"","jsonl_path":"/opt/crovia/substrate/axiom_ledger.jsonl","key_id":"430895f101d38164","last_collector_run_id":"","last_receipt_hash":"","leaf_count":241122,"merkle_root":"7a906c6a26ff6c6feabc2feaba6a1a70c515e6fd72a38c779293b0f78ff291c4","public_key_hex":"cf742e26f75669dc673cb5c0786a1ae23ae8ca19c347317192ce40c28a7ff25c","run_id":"hourly_json_retrofit_20260622T183701Z","schema":"crovia.seal.v1","seal_family_version":"crovia-seal-family/1","seal_kind":"substrate_batch","sealed_at":"2026-06-23T06:25:25Z","sig_algorithm":"ed25519","signature":"5576b1d56d5dbb0d96c780fa3ca0940d805c8de95c6251bc87297f0be058aa5e37eb53a6aa1b601381f489f093842cf674b28737ed8e46ce3a49814b5e57290c","signer_version":"1.1.0"},"trust_root":{"key_id":"430895f101d38164","public_key_hex":"cf742e26f75669dc673cb5c0786a1ae23ae8ca19c347317192ce40c28a7ff25c","signature_algorithm":"ed25519","url":"/registry/canon/TRUST_ROOT.md"},"verifier":{"spec":"/registry/canon/AXIOM_RECEIPT_v1.md","url":"/v/axm_20d45e5d82ff470d5be83eccc2b7c96b98124b4bfd9677cb68d53f96ec336f9c"}}