Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770001300
The MH-36 locality cells most similar to this Hingoli 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
45
morphology-v2 feature dimensions
Closest twin distance
0.194
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770001235
distance 0.194
#2 · Hingolicell 4770001374
distance 0.208
#3 · Hingolicell 4770003777
distance 0.246
#4 · Washimcell 4990002326
distance 0.252 · cross-district
#5 · Nandedcell 4850000155
distance 0.259 · cross-district
#6 · Washimcell 4990000287
distance 0.267 · cross-district
#7 · Hingolicell 4770001184
distance 0.267
#8 · Hingolicell 4770001717
distance 0.267
#9 · Hingolicell 4770000327
distance 0.274
#10 · Hingolicell 4770001696
distance 0.276
#11 · Hingolicell 4770001558
distance 0.281
#12 · Hingolicell 4770000996
distance 0.282
#13 · Nandedcell 4850007054
distance 0.284 · cross-district
#14 · Nandedcell 4850001354
distance 0.285 · cross-district
#15 · Hingolicell 4770001159
distance 0.285
#16 · Hingolicell 4770001669
distance 0.288
#17 · Hingolicell 4770001433
distance 0.29
#18 · Washimcell 4990002399
distance 0.291 · 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":477,"cluster_id":4770001300}}}'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.