Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960001164
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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.24
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960002574
distance 0.24
#2 · Solapurcell 4960003605
distance 0.241
#3 · Solapurcell 4960001549
distance 0.245
#4 · Dharashivcell 4880003415
distance 0.247 · cross-district
#5 · Solapurcell 4960002569
distance 0.251
#6 · Buldhanacell 4720005976
distance 0.251 · cross-district
#7 · Solapurcell 4960005890
distance 0.254
#8 · Amravaticell 4680000002
distance 0.258 · cross-district
#9 · Dharashivcell 4880000783
distance 0.259 · cross-district
#10 · Solapurcell 4960003282
distance 0.26
#11 · Solapurcell 4960006420
distance 0.26
#12 · Amravaticell 4680006195
distance 0.266 · cross-district
#13 · Solapurcell 4960001681
distance 0.266
#14 · Solapurcell 4960002429
distance 0.273
#15 · Solapurcell 4960000811
distance 0.274
#16 · Solapurcell 4960005746
distance 0.274
#17 · Solapurcell 4960007863
distance 0.276
#18 · Solapurcell 4960001923
distance 0.278
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":4960001164}}}'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.