Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900000538
The MH-36 locality cells most similar to this Pune 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
44
morphology-v2 feature dimensions
Closest twin distance
0.146
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900000220
distance 0.146
#2 · Punecell 4900000453
distance 0.15
#3 · Sataracell 4940007435
distance 0.18 · cross-district
#4 · Punecell 4900000545
distance 0.193
#5 · Punecell 4900000260
distance 0.197
#6 · Sataracell 4940007835
distance 0.212 · cross-district
#7 · Punecell 4900000316
distance 0.212
#8 · Sataracell 4940007938
distance 0.217 · cross-district
#9 · Punecell 4900000363
distance 0.221
#10 · Sataracell 4940008259
distance 0.227 · cross-district
#11 · Sataracell 4940008245
distance 0.232 · cross-district
#12 · Sataracell 4940007836
distance 0.237 · cross-district
#13 · Punecell 4900000259
distance 0.238
#14 · Punecell 4900000999
distance 0.245
#15 · Punecell 4900000550
distance 0.251
#16 · Sataracell 4940008042
distance 0.255 · cross-district
#17 · Punecell 4900000764
distance 0.258
#18 · Sataracell 4940006764
distance 0.259 · 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":490,"cluster_id":4900000538}}}'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.