{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:QFOJIKQY63JSYIURBL2OLPQDYU","short_pith_number":"pith:QFOJIKQY","canonical_record":{"source":{"id":"2607.06529","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-07T17:37:03Z","cross_cats_sorted":[],"title_canon_sha256":"3c3a19bcd639c4c8fc1e70b1449063779900a54b3ac9934f112d53357b1caa65","abstract_canon_sha256":"51b5683aa0c24359fd04d84d26884162fe2257923e53ccdadfeaf37f2bf3a275"},"schema_version":"1.0"},"canonical_sha256":"815c942a18f6d32c22910af4e5be03c532767a32442623247e59d50f7b6d482e","source":{"kind":"arxiv","id":"2607.06529","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.06529","created_at":"2026-07-08T01:19:28Z"},{"alias_kind":"arxiv_version","alias_value":"2607.06529v1","created_at":"2026-07-08T01:19:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.06529","created_at":"2026-07-08T01:19:28Z"},{"alias_kind":"pith_short_12","alias_value":"QFOJIKQY63JS","created_at":"2026-07-08T01:19:28Z"},{"alias_kind":"pith_short_16","alias_value":"QFOJIKQY63JSYIUR","created_at":"2026-07-08T01:19:28Z"},{"alias_kind":"pith_short_8","alias_value":"QFOJIKQY","created_at":"2026-07-08T01:19:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:QFOJIKQY63JSYIURBL2OLPQDYU","target":"record","payload":{"canonical_record":{"source":{"id":"2607.06529","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-07T17:37:03Z","cross_cats_sorted":[],"title_canon_sha256":"3c3a19bcd639c4c8fc1e70b1449063779900a54b3ac9934f112d53357b1caa65","abstract_canon_sha256":"51b5683aa0c24359fd04d84d26884162fe2257923e53ccdadfeaf37f2bf3a275"},"schema_version":"1.0"},"canonical_sha256":"815c942a18f6d32c22910af4e5be03c532767a32442623247e59d50f7b6d482e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-08T01:19:28.988909Z","signature_b64":"z6kUO+HYanZd05usu1KP7LBUiHNv/Q2ImKTJrNlC0wrDTaxztyy8cVk2PgbSmMelzfw2nVNWAoWVPNDByrI0Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"815c942a18f6d32c22910af4e5be03c532767a32442623247e59d50f7b6d482e","last_reissued_at":"2026-07-08T01:19:28.988477Z","signature_status":"signed_v1","first_computed_at":"2026-07-08T01:19:28.988477Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.06529","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-08T01:19:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bH7bHSkzmB1XSahg+RHEBFy0AVPA+5GKOsHE/0z5Xp+bQ5rTH8EDnPWamrCxKwsiYFf+SUBhLt3DBTgOIC+YAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:54:12.460895Z"},"content_sha256":"da6dc621a398789bf32936a911253382f82552f8ced1f54b2354e061667a5e06","schema_version":"1.0","event_id":"sha256:da6dc621a398789bf32936a911253382f82552f8ced1f54b2354e061667a5e06"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:QFOJIKQY63JSYIURBL2OLPQDYU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Life Style Levels: Neighborhood Delineation using Geospatial Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Debarag Banerjee, Srivatsa Kulkarni","submitted_at":"2026-07-07T17:37:03Z","abstract_excerpt":"Fine-scale socioeconomic information is often unavailable across rapidly ur-banizing regions of the developing world, like India, limiting the ability to delineate intra-urban variations in affluence and deprivation. This study pro-poses a scalable, grid-based urban delineation framework using building morphology derived from open-source satellite imagery. Urban areas across 59 Indian cities and towns are partitioned into high-resolution spatial grids and characterized using interpretable morphological indicators, which are combined into a transparent, rule-based scoring framework to delineate"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.06529","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.06529/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-08T01:19:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N+IiqGHejQMRi5p3zDTjHtqUGz8+yXTuUmL2NsUV5EHlM/vJWxVXap5ijsVHE0S7j/Mryqkhk+OO1/hXl4jfBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:54:12.461432Z"},"content_sha256":"8a4ec973517d5d2c3d82d82696f3d95d65a1d20e5d2118256aafca48e0ab653e","schema_version":"1.0","event_id":"sha256:8a4ec973517d5d2c3d82d82696f3d95d65a1d20e5d2118256aafca48e0ab653e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QFOJIKQY63JSYIURBL2OLPQDYU/bundle.json","state_url":"https://pith.science/pith/QFOJIKQY63JSYIURBL2OLPQDYU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QFOJIKQY63JSYIURBL2OLPQDYU/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-03T17:54:12Z","links":{"resolver":"https://pith.science/pith/QFOJIKQY63JSYIURBL2OLPQDYU","bundle":"https://pith.science/pith/QFOJIKQY63JSYIURBL2OLPQDYU/bundle.json","state":"https://pith.science/pith/QFOJIKQY63JSYIURBL2OLPQDYU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QFOJIKQY63JSYIURBL2OLPQDYU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:QFOJIKQY63JSYIURBL2OLPQDYU","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"51b5683aa0c24359fd04d84d26884162fe2257923e53ccdadfeaf37f2bf3a275","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-07T17:37:03Z","title_canon_sha256":"3c3a19bcd639c4c8fc1e70b1449063779900a54b3ac9934f112d53357b1caa65"},"schema_version":"1.0","source":{"id":"2607.06529","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.06529","created_at":"2026-07-08T01:19:28Z"},{"alias_kind":"arxiv_version","alias_value":"2607.06529v1","created_at":"2026-07-08T01:19:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.06529","created_at":"2026-07-08T01:19:28Z"},{"alias_kind":"pith_short_12","alias_value":"QFOJIKQY63JS","created_at":"2026-07-08T01:19:28Z"},{"alias_kind":"pith_short_16","alias_value":"QFOJIKQY63JSYIUR","created_at":"2026-07-08T01:19:28Z"},{"alias_kind":"pith_short_8","alias_value":"QFOJIKQY","created_at":"2026-07-08T01:19:28Z"}],"graph_snapshots":[{"event_id":"sha256:8a4ec973517d5d2c3d82d82696f3d95d65a1d20e5d2118256aafca48e0ab653e","target":"graph","created_at":"2026-07-08T01:19:28Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2607.06529/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Fine-scale socioeconomic information is often unavailable across rapidly ur-banizing regions of the developing world, like India, limiting the ability to delineate intra-urban variations in affluence and deprivation. This study pro-poses a scalable, grid-based urban delineation framework using building morphology derived from open-source satellite imagery. Urban areas across 59 Indian cities and towns are partitioned into high-resolution spatial grids and characterized using interpretable morphological indicators, which are combined into a transparent, rule-based scoring framework to delineate","authors_text":"Debarag Banerjee, Srivatsa Kulkarni","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-07T17:37:03Z","title":"Life Style Levels: Neighborhood Delineation using Geospatial Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.06529","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:da6dc621a398789bf32936a911253382f82552f8ced1f54b2354e061667a5e06","target":"record","created_at":"2026-07-08T01:19:28Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"51b5683aa0c24359fd04d84d26884162fe2257923e53ccdadfeaf37f2bf3a275","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-07T17:37:03Z","title_canon_sha256":"3c3a19bcd639c4c8fc1e70b1449063779900a54b3ac9934f112d53357b1caa65"},"schema_version":"1.0","source":{"id":"2607.06529","kind":"arxiv","version":1}},"canonical_sha256":"815c942a18f6d32c22910af4e5be03c532767a32442623247e59d50f7b6d482e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"815c942a18f6d32c22910af4e5be03c532767a32442623247e59d50f7b6d482e","first_computed_at":"2026-07-08T01:19:28.988477Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-08T01:19:28.988477Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"z6kUO+HYanZd05usu1KP7LBUiHNv/Q2ImKTJrNlC0wrDTaxztyy8cVk2PgbSmMelzfw2nVNWAoWVPNDByrI0Aw==","signature_status":"signed_v1","signed_at":"2026-07-08T01:19:28.988909Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.06529","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:da6dc621a398789bf32936a911253382f82552f8ced1f54b2354e061667a5e06","sha256:8a4ec973517d5d2c3d82d82696f3d95d65a1d20e5d2118256aafca48e0ab653e"],"state_sha256":"6b244a04da2f297ad37e4e3553ebf3c4c3f1738de86619128799edb3cd590dd2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I7LB2HPYSeE7M0ZEyAsVWimWNugp7YkKtTfqYON/2TmvUbRRe/t2HHRPRDhordHITwMObxdojuTZqo8Nsv/OCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T17:54:12.466204Z","bundle_sha256":"537a161243063b3f48bb2f39b6a4a1a23c231041da7cb583c2d6781c60d76fd2"}}