Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900001069
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.09
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900000817
distance 0.09
#2 · Punecell 4900001729
distance 0.136
#3 · Punecell 4900001206
distance 0.14
#4 · Punecell 4900002035
distance 0.157
#5 · Solapurcell 4960004671
distance 0.166 · cross-district
#6 · Solapurcell 4960008018
distance 0.174 · cross-district
#7 · Nashikcell 4870005714
distance 0.175 · cross-district
#8 · Solapurcell 4960004670
distance 0.178 · cross-district
#9 · Nashikcell 4870003538
distance 0.178 · cross-district
#10 · Punecell 4900002025
distance 0.189
#11 · Punecell 4900001453
distance 0.19
#12 · Solapurcell 4960009065
distance 0.191 · cross-district
#13 · Punecell 4900007152
distance 0.194
#14 · Punecell 4900001707
distance 0.198
#15 · Solapurcell 4960008669
distance 0.199 · cross-district
#16 · Punecell 4900001433
distance 0.199
#17 · Solapurcell 4960004970
distance 0.2 · cross-district
#18 · Punecell 4900000709
distance 0.2
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":4900001069}}}'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.