Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960001779
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.181
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960003394
distance 0.181
#2 · Solapurcell 4960002973
distance 0.182
#3 · Solapurcell 4960003808
distance 0.194
#4 · Solapurcell 4960001089
distance 0.201
#5 · Solapurcell 4960002556
distance 0.223
#6 · Solapurcell 4960002291
distance 0.224
#7 · Solapurcell 4960001090
distance 0.228
#8 · Buldhanacell 4720007196
distance 0.229 · cross-district
#9 · Solapurcell 4960010767
distance 0.237
#10 · Solapurcell 4960002986
distance 0.242
#11 · Solapurcell 4960001651
distance 0.246
#12 · Solapurcell 4960003528
distance 0.246
#13 · Chhatrapati Sambhajinagarcell 4690005905
distance 0.258 · cross-district
#14 · Jalnacell 4790006085
distance 0.26 · cross-district
#15 · Solapurcell 4960006152
distance 0.261
#16 · Solapurcell 4960004091
distance 0.264
#17 · Amravaticell 4680004503
distance 0.267 · cross-district
#18 · Solapurcell 4960007863
distance 0.27
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":4960001779}}}'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.