Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980001872
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.109
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980002135
distance 0.109
#2 · Wardhacell 4980001873
distance 0.146
#3 · Wardhacell 4980002048
distance 0.148
#4 · Wardhacell 4980002313
distance 0.166
#5 · Wardhacell 4980002746
distance 0.194
#6 · Wardhacell 4980003247
distance 0.194
#7 · Wardhacell 4980002548
distance 0.196
#8 · Wardhacell 4980002809
distance 0.197
#9 · Wardhacell 4980003248
distance 0.203
#10 · Wardhacell 4980001786
distance 0.204
#11 · Wardhacell 4980001704
distance 0.208
#12 · Wardhacell 4980001698
distance 0.208
#13 · Wardhacell 4980001795
distance 0.223
#14 · Wardhacell 4980003007
distance 0.227
#15 · Jalgaoncell 4780001214
distance 0.232 · cross-district
#16 · Chhatrapati Sambhajinagarcell 4690008671
distance 0.239 · cross-district
#17 · Jalgaoncell 4780001212
distance 0.24 · cross-district
#18 · Chhatrapati Sambhajinagarcell 4690008630
distance 0.242 · 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":4980001872}}}'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.