Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770000488
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.081
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770000435
distance 0.081
#2 · Hingolicell 4770001634
distance 0.104
#3 · Hingolicell 4770000743
distance 0.105
#4 · Hingolicell 4770001633
distance 0.142
#5 · Hingolicell 4770001517
distance 0.155
#6 · Hingolicell 4770000646
distance 0.156
#7 · Hingolicell 4770000377
distance 0.161
#8 · Nagpurcell 4840007020
distance 0.161 · cross-district
#9 · Parbhanicell 4890003978
distance 0.163 · cross-district
#10 · Hingolicell 4770000432
distance 0.171
#11 · Akolacell 4670004336
distance 0.172 · cross-district
#12 · Hingolicell 4770000384
distance 0.173
#13 · Hingolicell 4770000629
distance 0.175
#14 · Hingolicell 4770000855
distance 0.177
#15 · Hingolicell 4770002970
distance 0.179
#16 · Parbhanicell 4890002201
distance 0.18 · cross-district
#17 · Buldhanacell 4720007948
distance 0.181 · cross-district
#18 · Hingolicell 4770000976
distance 0.182
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":4770000488}}}'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.