Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870011543
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
0.258
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870009629
distance 0.258
#2 · Sataracell 4940006334
distance 0.315 · cross-district
#3 · Nashikcell 4870009077
distance 0.323
#4 · Nashikcell 4870005862
distance 0.324
#5 · Ahmednagarcell 4660011337
distance 0.345 · cross-district
#6 · Nashikcell 4870010922
distance 0.355
#7 · Nashikcell 4870010672
distance 0.356
#8 · Nashikcell 4870010791
distance 0.358
#9 · Nashikcell 4870011418
distance 0.364
#10 · Sataracell 4940008006
distance 0.365 · cross-district
#11 · Sataracell 4940008007
distance 0.365 · cross-district
#12 · Ahmednagarcell 4660014480
distance 0.365 · cross-district
#13 · Nashikcell 4870013001
distance 0.368
#14 · Nashikcell 4870004260
distance 0.369
#15 · Sataracell 4940007498
distance 0.372 · cross-district
#16 · Nashikcell 4870000469
distance 0.373
#17 · Nashikcell 4870009881
distance 0.375
#18 · Nashikcell 4870009886
distance 0.378
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":4870011543}}}'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.