Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980004059
The MH-36 locality cells most similar to this Wardha cell across terrain, built form, land cover, climate dynamics and connectivity — ranked by a GUM-confidence-weighted (R24) distance, with the temporal block down-weighted. Each twin is a real cell with its own witnessed dossier.
Twins found
18
across 4 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.103
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980004345
distance 0.103
#2 · Wardhacell 4980004346
distance 0.106
#3 · Wardhacell 4980004236
distance 0.109
#4 · Wardhacell 4980004638
distance 0.11
#5 · Wardhacell 4980004399
distance 0.136
#6 · Amravaticell 4680004197
distance 0.147 · cross-district
#7 · Wardhacell 4980004347
distance 0.149
#8 · Wardhacell 4980002300
distance 0.159
#9 · Wardhacell 4980004748
distance 0.16
#10 · Wardhacell 4980005013
distance 0.163
#11 · Amravaticell 4680001319
distance 0.171 · cross-district
#12 · Yavatmalcell 5000011305
distance 0.178 · cross-district
#13 · Wardhacell 4980003738
distance 0.178
#14 · Wardhacell 4980002216
distance 0.182
#15 · Chhatrapati Sambhajinagarcell 4690008837
distance 0.185 · cross-district
#16 · Wardhacell 4980004291
distance 0.185
#17 · Wardhacell 4980004294
distance 0.186
#18 · Amravaticell 4680006061
distance 0.187 · cross-district
witness: find_twins — morphology-twin-index-v2 (R24, GUM-confidence-weighted, magnitude-aware, temporal block down-weighted). Distance is the weighted feature distance; lower is more alike. Cross-district twins are the discriminative signal.
Re-witness these twins
curl -s https://api.gridrock.ai/mcp -H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_twins",
"arguments":{"admin_code":498,"cluster_id":4980004059}}}'Scope: the live MH-36 cube. Twins are computed from the sha-verified morphology-v2 vector; the engine supplies no goodness/suitability ranking — only morphological similarity.