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Add guide for OpenAI unit-distance disproof as FAMM solve pattern
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docs/research/OPENAI_UNIT_DISTANCE_FAMM_GUIDE_2026_05_20.md
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docs/research/OPENAI_UNIT_DISTANCE_FAMM_GUIDE_2026_05_20.md
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# OpenAI Unit-Distance Disproof as FAMM Solve Pattern
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Date: 2026-05-20
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Status: REVIEWED_EXTERNAL_RESULT_REFERENCE
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## External Source
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OpenAI article:
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https://openai.com/index/model-disproves-discrete-geometry-conjecture/
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Problem originally posed by Paul Erdos in 1946.
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---
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# Core Event
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A model-guided search discovered a counterexample family disproving the long-believed conjectural upper bound:
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u(n) <= n^(1+o(1))
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for the planar unit-distance problem.
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The discovered route used:
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- algebraic number theory
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- infinite class field towers
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- Golod-Shafarevich theory
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- richer number fields than Gaussian integers
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rather than the historically dominant square-grid constructions.
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---
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# Why This Matters for FAMM
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This is a canonical solved-scar pattern.
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The important lesson is NOT:
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"AI solved geometry."
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The important lesson is:
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cross-domain structural routes can dominate local intuition.
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---
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# FAMM Interpretation
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Native problem domain:
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- discrete geometry
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- planar point configurations
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- unit-distance counting
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Winning route domain:
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- algebraic number theory
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- class field tower structure
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- symmetry-rich number fields
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Meaning:
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The low-obstruction proof manifold existed outside the community-default search basin.
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---
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# Underverse Interpretation
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This is an explicit Underverse-style move.
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The model did not strengthen the dominant construction.
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Instead:
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- it searched outside the expected manifold,
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- bred counterexample constructions,
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- discovered an admissible family,
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- then verified the route mathematically.
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---
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# Architecture Mapping
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| External Result | FAMM Stack |
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| conjecture | obstruction field |
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| counterexample family | braid/eigensolid family |
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| algebraic-number-field route | remote NUVMAP sector |
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| model search | BraidStorm traversal |
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| construction selection | eigensolid closure |
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| external mathematical verification | receipt verification |
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---
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# Core Search Lesson
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Do not overweight dominant local routes.
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Preserve low-prior remote manifold routes when they exhibit:
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- high symmetry
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- low residual pressure
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- reusable invariants
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- unusual closure behavior
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This should become a permanent FAMM heuristic.
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---
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# Attention Residuals Interpretation
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This result strongly supports selective residual retrieval.
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The successful route behaved like:
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- a distant off-diagonal retrieval,
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- not a local next-step continuation.
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Meaning:
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softmax-selected remote retrieval may outperform dense local accumulation.
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Project translation:
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alpha_(t,i) = softmax(M_i - Omega_i + S_i)
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should preserve rare but structurally rich remote manifold sectors.
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---
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# NUVMAP Lesson
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The proof route effectively traversed:
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Discrete Geometry
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→ Algebraic Number Theory
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→ Symmetry Construction Space
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→ Infinite Family Closure
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→ Counterexample
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That is a sparse topological jump.
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NUVMAP should therefore preserve:
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- remote-domain adjacency,
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- not merely local similarity.
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---
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# Eigensolid Lesson
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Finite examples are weaker than reusable infinite-family closures.
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Eigensolid ranking should therefore prioritize:
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- reusable construction families,
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- scalable symmetry structures,
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- infinite admissible replay.
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---
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# Final Keeper Lesson
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The shortest path to a proof or disproof may live outside the visible problem manifold.
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FAMM should therefore:
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- preserve remote structural routes,
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- store solved counterexample scars,
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- weight reusable symmetry constructions highly,
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- and treat low-obstruction cross-domain jumps as valuable.
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