Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870008079
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
0.224
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870007935
distance 0.224
#2 · Nashikcell 4870008223
distance 0.237
#3 · Nashikcell 4870012422
distance 0.277
#4 · Sataracell 4940000131
distance 0.28 · cross-district
#5 · Nashikcell 4870008240
distance 0.285
#6 · Sataracell 4940000130
distance 0.292 · cross-district
#7 · Dhulecell 4740002415
distance 0.293 · cross-district
#8 · Nashikcell 4870008522
distance 0.298
#9 · Nashikcell 4870008380
distance 0.3
#10 · Nashikcell 4870007940
distance 0.3
#11 · Nashikcell 4870012332
distance 0.301
#12 · Dhulecell 4740000300
distance 0.301 · cross-district
#13 · Nashikcell 4870008671
distance 0.302
#14 · Sataracell 4940000096
distance 0.304 · cross-district
#15 · Nashikcell 4870008224
distance 0.304
#16 · Nashikcell 4870008239
distance 0.306
#17 · Nashikcell 4870012337
distance 0.308
#18 · Sataracell 4940000168
distance 0.309 · 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":4870008079}}}'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.