Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770000334
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.068
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770000290
distance 0.068
#2 · Hingolicell 4770000337
distance 0.089
#3 · Nandedcell 4850004789
distance 0.094 · cross-district
#4 · Hingolicell 4770000203
distance 0.1
#5 · Nandedcell 4850005687
distance 0.106 · cross-district
#6 · Hingolicell 4770000352
distance 0.109
#7 · Hingolicell 4770000346
distance 0.113
#8 · Hingolicell 4770000336
distance 0.116
#9 · Nandedcell 4850005187
distance 0.116 · cross-district
#10 · Hingolicell 4770000259
distance 0.116
#11 · Nandedcell 4850005397
distance 0.119 · cross-district
#12 · Hingolicell 4770000355
distance 0.119
#13 · Nandedcell 4850006084
distance 0.121 · cross-district
#14 · Hingolicell 4770000249
distance 0.123
#15 · Hingolicell 4770000287
distance 0.125
#16 · Nandedcell 4850004990
distance 0.128 · cross-district
#17 · Hingolicell 4770000034
distance 0.13
#18 · Hingolicell 4770000090
distance 0.134
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":4770000334}}}'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.