Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770000980
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
0.102
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770000637
distance 0.102
#2 · Hingolicell 4770000373
distance 0.158
#3 · Hingolicell 4770001868
distance 0.199
#4 · Hingolicell 4770000421
distance 0.2
#5 · Parbhanicell 4890003961
distance 0.202 · cross-district
#6 · Hingolicell 4770001680
distance 0.202
#7 · Hingolicell 4770003198
distance 0.204
#8 · Hingolicell 4770000531
distance 0.21
#9 · Parbhanicell 4890004239
distance 0.21 · cross-district
#10 · Hingolicell 4770001938
distance 0.21
#11 · Hingolicell 4770003487
distance 0.214
#12 · Amravaticell 4680004304
distance 0.214 · cross-district
#13 · Parbhanicell 4890004213
distance 0.218 · cross-district
#14 · Hingolicell 4770003105
distance 0.224
#15 · Hingolicell 4770000375
distance 0.225
#16 · Hingolicell 4770002051
distance 0.225
#17 · Hingolicell 4770000810
distance 0.225
#18 · Parbhanicell 4890004139
distance 0.226 · 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":4770000980}}}'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.