Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870001055
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
43
morphology-v2 feature dimensions
Closest twin distance
0.293
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870001149
distance 0.293
#2 · Nashikcell 4870000503
distance 0.31
#3 · Nashikcell 4870001150
distance 0.333
#4 · Nashikcell 4870001243
distance 0.359
#5 · Sataracell 4940005455
distance 0.359 · cross-district
#6 · Nashikcell 4870000502
distance 0.369
#7 · Punecell 4900003568
distance 0.378 · cross-district
#8 · Nashikcell 4870001242
distance 0.385
#9 · Nashikcell 4870003352
distance 0.385
#10 · Sataracell 4940004330
distance 0.393 · cross-district
#11 · Punecell 4900013269
distance 0.393 · cross-district
#12 · Nashikcell 4870003351
distance 0.398
#13 · Punecell 4900012623
distance 0.407 · cross-district
#14 · Punecell 4900003702
distance 0.409 · cross-district
#15 · Nashikcell 4870003214
distance 0.411
#16 · Nashikcell 4870000967
distance 0.417
#17 · Dhulecell 4740005465
distance 0.421 · cross-district
#18 · Nashikcell 4870000567
distance 0.422
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":4870001055}}}'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.