Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870001439
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 4 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
42
morphology-v2 feature dimensions
Closest twin distance
0.075
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870001438
distance 0.075
#2 · Nashikcell 4870001349
distance 0.156
#3 · Nashikcell 4870001532
distance 0.161
#4 · Nashikcell 4870001347
distance 0.207
#5 · Nashikcell 4870001345
distance 0.242
#6 · Nashikcell 4870001346
distance 0.243
#7 · Nashikcell 4870000710
distance 0.289
#8 · Sataracell 4940005351
distance 0.294 · cross-district
#9 · Nashikcell 4870001350
distance 0.298
#10 · Nashikcell 4870001348
distance 0.299
#11 · Nashikcell 4870003255
distance 0.3
#12 · Sataracell 4940005464
distance 0.301 · cross-district
#13 · Sataracell 4940007075
distance 0.302 · cross-district
#14 · Sataracell 4940007138
distance 0.303 · cross-district
#15 · Nashikcell 4870001534
distance 0.304
#16 · Nashikcell 4870001535
distance 0.313
#17 · Dhulecell 4740005314
distance 0.313 · cross-district
#18 · Ahmednagarcell 4660007878
distance 0.314 · 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":4870001439}}}'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.