Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870008217
The MH-36 locality cells most similar to this Nashik 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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.173
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870007784
distance 0.173
#2 · Nashikcell 4870005756
distance 0.213
#3 · Nashikcell 4870007215
distance 0.216
#4 · Nashikcell 4870005750
distance 0.221
#5 · Sataracell 4940001001
distance 0.236 · cross-district
#6 · Nashikcell 4870008066
distance 0.239
#7 · Nashikcell 4870008073
distance 0.241
#8 · Nashikcell 4870007925
distance 0.243
#9 · Sataracell 4940000210
distance 0.264 · cross-district
#10 · Sataracell 4940000781
distance 0.273 · cross-district
#11 · Sataracell 4940001000
distance 0.283 · cross-district
#12 · Nashikcell 4870008215
distance 0.291
#13 · Amravaticell 4680007914
distance 0.292 · cross-district
#14 · Nashikcell 4870005749
distance 0.295
#15 · Nashikcell 4870006925
distance 0.295
#16 · Nashikcell 4870012306
distance 0.296
#17 · Sataracell 4940000169
distance 0.303 · cross-district
#18 · Nashikcell 4870008218
distance 0.31
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":487,"cluster_id":4870008217}}}'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.