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math-research/papers/even_level_graph_generators/experiments
didericis b3b7b8cf26 Optimize bridge-orbit engine (int-bitmask states, ~5x faster); measure feasibility
- fast_bridge.py: states as 210-bit integer edge-bitmasks (compact memory,
  O(1) set ops); build a NetworkX graph only once per state for the planar
  embedding; parity-subgraph bridges via one iterative DFS per state instead
  of per-edge subgraph copies. Validated identical orbits to the slow version;
  throughput ~5170 states/s vs ~1100 (graph.copy was 66% of old runtime).
- fast_decide.py: integrated, gated ELG-witness check (only even-class
  sources with all-opposite-class neighbourhoods are tested with the
  ground-truth is_even_level_graph, then parity match). Witness detection
  validated (ELGs -> True, T*_9 -> False).
- Feasibility finding: bridge orbits are ~100x smaller than full E/O orbits
  but still 1e5-1e6 states per labelling (partitions 0,1 of dual 0 exceed
  310k and 685k without exhausting), x ~150 valid parity partitions per dual.
  Exhausting every orbit -- required for a conclusive NEGATIVE -- is
  computationally infeasible. A conclusive POSITIVE (witness ELG) remains
  reachable; none found so far.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-22 02:10:52 -04:00
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