Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900006300
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.146
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900006057
distance 0.146
#2 · Punecell 4900005677
distance 0.175
#3 · Beedcell 4700005474
distance 0.179 · cross-district
#4 · Punecell 4900004997
distance 0.18
#5 · Beedcell 4700004496
distance 0.183 · cross-district
#6 · Sanglicell 4930006922
distance 0.185 · cross-district
#7 · Punecell 4900002784
distance 0.191
#8 · Punecell 4900008540
distance 0.191
#9 · Punecell 4900005146
distance 0.192
#10 · Punecell 4900006528
distance 0.192
#11 · Beedcell 4700004662
distance 0.195 · cross-district
#12 · Punecell 4900007634
distance 0.199
#13 · Buldhanacell 4720005041
distance 0.199 · cross-district
#14 · Beedcell 4700005476
distance 0.2 · cross-district
#15 · Punecell 4900006162
distance 0.203
#16 · Punecell 4900007510
distance 0.203
#17 · Dharashivcell 4880003163
distance 0.204 · cross-district
#18 · Buldhanacell 4720005264
distance 0.205 · 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":490,"cluster_id":4900006300}}}'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.