Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870004371
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
0.237
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870002163
distance 0.237
#2 · Ahmednagarcell 4660011494
distance 0.24 · cross-district
#3 · Ahmednagarcell 4660011161
distance 0.248 · cross-district
#4 · Nashikcell 4870001990
distance 0.257
#5 · Ahmednagarcell 4660008499
distance 0.261 · cross-district
#6 · Punecell 4900012356
distance 0.266 · cross-district
#7 · Nashikcell 4870002403
distance 0.275
#8 · Nashikcell 4870011280
distance 0.276
#9 · Nashikcell 4870009048
distance 0.277
#10 · Nashikcell 4870002495
distance 0.28
#11 · Nashikcell 4870004091
distance 0.282
#12 · Nashikcell 4870004522
distance 0.284
#13 · Nashikcell 4870001265
distance 0.285
#14 · Nashikcell 4870001382
distance 0.289
#15 · Punecell 4900012350
distance 0.29 · cross-district
#16 · Nashikcell 4870002324
distance 0.293
#17 · Nashikcell 4870001921
distance 0.295
#18 · Ahmednagarcell 4660012975
distance 0.299 · 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":4870004371}}}'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.