Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870002517
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
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.2
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870002330
distance 0.2
#2 · Nashikcell 4870002089
distance 0.236
#3 · Nashikcell 4870001736
distance 0.239
#4 · Ahmednagarcell 4660009508
distance 0.247 · cross-district
#5 · Nashikcell 4870001995
distance 0.249
#6 · Nashikcell 4870002166
distance 0.251
#7 · Nashikcell 4870002351
distance 0.253
#8 · Sataracell 4940005817
distance 0.253 · cross-district
#9 · Sataracell 4940005823
distance 0.26 · cross-district
#10 · Sataracell 4940005080
distance 0.262 · cross-district
#11 · Nashikcell 4870002501
distance 0.265
#12 · Sataracell 4940005592
distance 0.268 · cross-district
#13 · Nashikcell 4870002265
distance 0.27
#14 · Nashikcell 4870002522
distance 0.271
#15 · Sataracell 4940004102
distance 0.273 · cross-district
#16 · Nashikcell 4870001353
distance 0.273
#17 · Nashikcell 4870002432
distance 0.28
#18 · Sataracell 4940007827
distance 0.28 · 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":487,"cluster_id":4870002517}}}'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.