Bhārata Strata · Maharashtra · Ratnagiri · morphological twins
Places like cell 4920004348
The MH-36 locality cells most similar to this Ratnagiri 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 2 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.15
lower = more alike (weighted)
The twins, closest first
#1 · Ratnagiricell 4920004192
distance 0.15
#2 · Ratnagiricell 4920004142
distance 0.17
#3 · Ratnagiricell 4920004349
distance 0.176
#4 · Ratnagiricell 4920004297
distance 0.186
#5 · Ratnagiricell 4920004150
distance 0.187
#6 · Ratnagiricell 4920004191
distance 0.19
#7 · Ratnagiricell 4920004093
distance 0.196
#8 · Ratnagiricell 4920004292
distance 0.201
#9 · Ratnagiricell 4920004196
distance 0.203
#10 · Ratnagiricell 4920004244
distance 0.204
#11 · Ratnagiricell 4920004144
distance 0.21
#12 · Sindhudurgcell 4950000513
distance 0.211 · cross-district
#13 · Ratnagiricell 4920004239
distance 0.213
#14 · Ratnagiricell 4920004140
distance 0.214
#15 · Ratnagiricell 4920006250
distance 0.216
#16 · Sindhudurgcell 4950000561
distance 0.217 · cross-district
#17 · Sindhudurgcell 4950000415
distance 0.221 · cross-district
#18 · Ratnagiricell 4920005929
distance 0.222
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":492,"cluster_id":4920004348}}}'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.