Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960007803
The MH-36 locality cells most similar to this Solapur 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.153
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960007290
distance 0.153
#2 · Solapurcell 4960007025
distance 0.155
#3 · Solapurcell 4960007795
distance 0.172
#4 · Solapurcell 4960007674
distance 0.206
#5 · Solapurcell 4960008168
distance 0.212
#6 · Solapurcell 4960008173
distance 0.215
#7 · Punecell 4900000099
distance 0.219 · cross-district
#8 · Punecell 4900000017
distance 0.222 · cross-district
#9 · Solapurcell 4960007306
distance 0.223
#10 · Solapurcell 4960007930
distance 0.224
#11 · Solapurcell 4960007680
distance 0.226
#12 · Sataracell 4940003990
distance 0.233 · cross-district
#13 · Punecell 4900000009
distance 0.235 · cross-district
#14 · Solapurcell 4960007557
distance 0.237
#15 · Ahmednagarcell 4660013255
distance 0.238 · cross-district
#16 · Solapurcell 4960007683
distance 0.24
#17 · Solapurcell 4960007292
distance 0.24
#18 · Punecell 4900000074
distance 0.241 · 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":496,"cluster_id":4960007803}}}'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.