Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900000341
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.148
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900000216
distance 0.148
#2 · Punecell 4900000064
distance 0.161
#3 · Punecell 4900000574
distance 0.205
#4 · Punecell 4900000206
distance 0.211
#5 · Punecell 4900000412
distance 0.23
#6 · Nashikcell 4870002372
distance 0.235 · cross-district
#7 · Punecell 4900000351
distance 0.235
#8 · Nashikcell 4870006575
distance 0.241 · cross-district
#9 · Punecell 4900000116
distance 0.243
#10 · Nashikcell 4870005856
distance 0.246 · cross-district
#11 · Punecell 4900000335
distance 0.256
#12 · Punecell 4900000805
distance 0.257
#13 · Punecell 4900000183
distance 0.266
#14 · Nashikcell 4870005990
distance 0.267 · cross-district
#15 · Solapurcell 4960006891
distance 0.267 · cross-district
#16 · Nashikcell 4870005406
distance 0.27 · cross-district
#17 · Nashikcell 4870005563
distance 0.27 · cross-district
#18 · Nashikcell 4870003037
distance 0.273 · 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":4900000341}}}'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.