{"id":49448273,"url":"https://github.com/z139-lab/uvp-v2-framework","last_synced_at":"2026-04-30T00:01:20.812Z","repository":{"id":352938028,"uuid":"1215188640","full_name":"Z139-Lab/uvp-v2-framework","owner":"Z139-Lab","description":" \"Universal scaling analysis for bounded criticality in multi-agent 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unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bounded-criticality","complex-systems","criticality","multi-agent","reproducibility"],"created_at":"2026-04-30T00:01:14.528Z","updated_at":"2026-04-30T00:01:20.802Z","avatar_url":"https://github.com/Z139-Lab.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\\# UVP v2: Universality Validation Pipeline for Bounded Criticality\n\n\n\nA reproducible framework for detecting, comparing, and analyzing bounded criticality across complex systems.\n\n\n\n\\---\n\n\n\n\\## 🔁 Reproduce Main Results (One Command)\n\n\n\n```bash\n\npip install -r requirements.txt\n\npython run\\\\\\_uvp.py --config configs/grid\\\\\\_default.yaml\n\n\n\nOutputs:\n\n\n\nCritical region detection\n\nCollapse-style analysis\n\nDynamical exponent estimation (z)\n\nPublication-ready figures (saved in results/)\n\nOverview\n\n\n\nUVP v2 (Universality Validation Pipeline v2) is a unified analysis framework designed to test whether different complex systems exhibit a shared form of bounded criticality.\n\n\n\nThe pipeline transforms heterogeneous simulation outputs into a standardized statistical-physics workflow, enabling:\n\n\n\ncritical-region detection\n\ncollapse-style comparison\n\ndynamical exponent estimation\n\ncross-system universality testing\n\n\n\nUVP v2 is designed for use across:\n\n\n\npower-grid cascading-failure systems\n\nLLM / AI multi-agent cascade systems\n\nCore Idea\n\n\n\nMany complex systems do not exhibit purely divergent criticality.\n\nInstead, they display a bounded critical regime:\n\n\n\na transition region with identifiable critical structure, but without unconstrained divergence.\n\n\n\nUVP v2 provides a systematic framework to detect and analyze this regime.\n\n\n\nPipeline\n\nraw data \n\n→ normalization \n\n→ stress scan \n\n→ critical detection \n\n→ collapse analysis \n\n→ z estimation\n\n→ publication-ready outputs\n\nKey Functions\n\nUnified data adapters for heterogeneous simulation outputs\n\nCritical region detection using configurable heuristics\n\nCollapse-style analysis across system sizes or variants\n\nDynamical exponent estimation (proxy-based and tau-based)\n\nEnd-to-end reproducibility from raw data to figures\n\nCross-system comparison (infrastructure systems vs AI agent systems)\n\nInput Schema (Canonical Representation)\n\n\n\nAll datasets are mapped to a unified schema:\n\n\n\nstress\n\nL (system size)\n\nphi (observable)\n\ncollapse\\\\\\_prob (optional)\n\ntau (optional)\n\nn\\\\\\_seeds (optional)\n\n\n\nAdditional metadata (e.g., chi, cv, variant, topology) are preserved.\n\n\n\nExpected Outputs\n\n\n\nEach run produces:\n\n\n\nprocessed\\\\\\_input.csv\n\nsigma\\\\\\_scan/scan.csv\n\ncritical/sigma\\\\\\_c.json\n\ncollapse/collapse\\\\\\_data.csv\n\nz\\\\\\_fit/z\\\\\\_fit.json\n\nfigures/scan.png\n\nfigures/collapse.png\n\nfigures/z\\\\\\_scan.png\n\nScientific Scope\n\n\n\nUVP v2 is designed to investigate:\n\n\n\nfinite-width critical bands vs classical phase transitions\n\nrobustness under micro-rule and topology perturbations\n\ncross-system universality of bounded criticality\n\nscaling behavior across heterogeneous systems\n\nCurrent Status\n\n\n\nThis repository provides a framework layer, not a finalized claim engine.\n\n\n\nLimitations:\n\n\n\ncritical detection is heuristic-based\n\nz estimation depends on data richness\n\ncollapse quality is not yet fully optimized\n\nTypical Workflow\n\nraw simulation data\n\n→ standardized input format\n\n→ critical region detection\n\n→ collapse analysis\n\n→ exponent estimation\n\n→ publication-ready summaries\n\nRelation to Other Repositories\n\nPower-grid application:\n\nhttps://github.com/Z139-Lab/bounded-criticality-power-grids\n\nResearch portal:\n\nhttps://github.com/Z139-Lab/bounded-criticality-portal\n\nIEEE-2383 case study:\n\nhttps://github.com/Z139-Lab/ieee-2383-critical-edge\n\nRecommended Use\n\n\n\nUse UVP v2 when you want to:\n\n\n\ncompare bounded-critical behavior across systems\n\ndistinguish sharp vs finite-width transitions\n\nestimate dynamical scaling behavior\n\nbuild reproducible, publication-grade analysis pipelines\n\nReproducibility\n\n\n\nAll results are reproducible via:\n\n\n\npython run\\\\\\_uvp.py --config configs/grid\\\\\\_default.yaml\n\n\n\nThe pipeline produces deterministic outputs given fixed seeds and configuration.\n\n\n\nCitation\n\n\n\nPlease use the included CITATION.cff file for formal citation.\n\n\n\nAuthor\n\n\n\nJuan Adam\n\nIndependent Research\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fz139-lab%2Fuvp-v2-framework","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fz139-lab%2Fuvp-v2-framework","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fz139-lab%2Fuvp-v2-framework/lists"}