Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770000010
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.11
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770000277
distance 0.11
#2 · Hingolicell 4770000707
distance 0.114
#3 · Hingolicell 4770000548
distance 0.163
#4 · Hingolicell 4770000502
distance 0.167
#5 · Hingolicell 4770000109
distance 0.174
#6 · Hingolicell 4770000279
distance 0.175
#7 · Hingolicell 4770000613
distance 0.208
#8 · Hingolicell 4770000746
distance 0.209
#9 · Hingolicell 4770000157
distance 0.209
#10 · Hingolicell 4770000550
distance 0.209
#11 · Chandrapurcell 4730001698
distance 0.216 · cross-district
#12 · Hingolicell 4770000462
distance 0.219
#13 · Hingolicell 4770000534
distance 0.219
#14 · Nandedcell 4850004084
distance 0.221 · cross-district
#15 · Hingolicell 4770001073
distance 0.222
#16 · Ahmednagarcell 4660008915
distance 0.223 · cross-district
#17 · Hingolicell 4770000437
distance 0.224
#18 · Chandrapurcell 4730001482
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":4770000010}}}'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.