Bhārata Strata · Maharashtra · Gondia · morphological twins
Places like cell 4760001977
The MH-36 locality cells most similar to this Gondia 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
0.143
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710001540
distance 0.143 · cross-district
#2 · Gondiacell 4760001747
distance 0.144
#3 · Gondiacell 4760002152
distance 0.146
#4 · Nagpurcell 4840001724
distance 0.149 · cross-district
#5 · Gondiacell 4760002060
distance 0.15
#6 · Gondiacell 4760002105
distance 0.157
#7 · Gondiacell 4760002017
distance 0.158
#8 · Gondiacell 4760002258
distance 0.166
#9 · Gondiacell 4760002059
distance 0.167
#10 · Gondiacell 4760001748
distance 0.171
#11 · Bhandaracell 4710001717
distance 0.171 · cross-district
#12 · Gondiacell 4760001235
distance 0.177
#13 · Bhandaracell 4710002088
distance 0.179 · cross-district
#14 · Gondiacell 4760002146
distance 0.179
#15 · Gondiacell 4760003851
distance 0.183
#16 · Gondiacell 4760004140
distance 0.183
#17 · Bhandaracell 4710002376
distance 0.184 · cross-district
#18 · Bhandaracell 4710001430
distance 0.186 · 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":476,"cluster_id":4760001977}}}'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.