Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870004223
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 2 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.249
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870004513
distance 0.249
#2 · Nashikcell 4870002736
distance 0.254
#3 · Ahmednagarcell 4660009505
distance 0.256 · cross-district
#4 · Nashikcell 4870002072
distance 0.258
#5 · Nashikcell 4870002158
distance 0.263
#6 · Nashikcell 4870001275
distance 0.266
#7 · Nashikcell 4870002322
distance 0.273
#8 · Nashikcell 4870004071
distance 0.274
#9 · Nashikcell 4870000406
distance 0.275
#10 · Ahmednagarcell 4660010998
distance 0.284 · cross-district
#11 · Nashikcell 4870002102
distance 0.288
#12 · Ahmednagarcell 4660010833
distance 0.289 · cross-district
#13 · Ahmednagarcell 4660006117
distance 0.29 · cross-district
#14 · Nashikcell 4870000831
distance 0.291
#15 · Nashikcell 4870004530
distance 0.293
#16 · Ahmednagarcell 4660010348
distance 0.294 · cross-district
#17 · Nashikcell 4870004219
distance 0.297
#18 · Nashikcell 4870004518
distance 0.298
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":4870004223}}}'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.