BLLM: Beyond the LLM with Deep Human-Mind-AI
Authors/Creators
- 1. Formerly, Electro-Gravitational Space Propulsion Laboratory (EGSPL), Bhubaneswar, Odisha 751030, India; Formerly, University of Calcutta, Senate House, 87/1 College Street, Kolkata 700073, West Bengal, India
Description
Anaxia, the BLLM engine: typed construction search, independent checks and recorded failure residues. This research candidate adds twelve exact finite-interval certificates for reflexive four-polytopes, an independent integer verifier, and a portable animated certificate explorer.
Relative to the supplied Kreuzer–Skarke point-pair census, the maximum shortest descent satisfies 22 ≤ D4 ≤ 346. The prior bound 348 for arbitrary descents is unchanged. The verifier reconstructs facets, primal and polar lattice points, strict containment, interval costs, pair bounds and exceptional-census coverage. It does not reconstruct the entire classification histogram.
The sharp seed constant, Hodge F2/F3-prime, GSC and the continuum Yang–Mills problem remain open. The full four-target closure benchmark has not been crossed. Graph survivors are necessary candidate configurations, not constructed semiregular objects. No new Lean formalization of the interval refinement is claimed.
Notes
Files
creelie/eBLLM-v3.4.1rc1.zip
Additional details
Related works
- Is supplement to
- Software: https://github.com/creelie/eBLLM (URL)
Software
- Repository URL
- https://github.com/creelie/eBLLM