Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900006534
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.163
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900007138
distance 0.163
#2 · Punecell 4900005514
distance 0.171
#3 · Punecell 4900006653
distance 0.173
#4 · Punecell 4900006891
distance 0.188
#5 · Punecell 4900007275
distance 0.196
#6 · Ahmednagarcell 4660000712
distance 0.207 · cross-district
#7 · Punecell 4900002939
distance 0.214
#8 · Sanglicell 4930007046
distance 0.218 · cross-district
#9 · Ahmednagarcell 4660001739
distance 0.221 · cross-district
#10 · Punecell 4900006779
distance 0.221
#11 · Punecell 4900007267
distance 0.221
#12 · Punecell 4900005513
distance 0.224
#13 · Solapurcell 4960007338
distance 0.226 · cross-district
#14 · Nashikcell 4870002900
distance 0.226 · cross-district
#15 · Ahmednagarcell 4660008728
distance 0.226 · cross-district
#16 · Punecell 4900005645
distance 0.228
#17 · Solapurcell 4960003373
distance 0.229 · cross-district
#18 · Punecell 4900007153
distance 0.231
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":4900006534}}}'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.