{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:V6XB3RUGYYTTZZLMSVTXR4EEYE","short_pith_number":"pith:V6XB3RUG","schema_version":"1.0","canonical_sha256":"afae1dc686c6273ce56c956778f084c1277cbee04bf78e6d13ab094eb0367398","source":{"kind":"arxiv","id":"2505.22456","version":2},"attestation_state":"computed","paper":{"title":"Beyond Leaders and Laggards: A Typology of Renewable Energy Adoption Trajectories with Evidence from Off-Grid Communities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-fin.EC"],"primary_cat":"econ.GN","authors_text":"Emir Galilee, Havatzelet Yahel, Itai Ficshhendler, Michael Dorman, Roni Blushtein-Livnon, Tal Svoray","submitted_at":"2025-05-28T15:13:05Z","abstract_excerpt":"Understanding the dynamics of renewable energy adoption is essential for designing strategies that accelerate its spread - an urgent priority for advancing climate goals and improving well-being, especially in off-grid regions facing energy poverty. This study introduces a time-series-based analytical framework that quantifies and classifies adoption behaviors of geographic entities within a region. A novel metric, the Adoption over Time Index (ATI), captures cumulative adoption intensity and identifies shifts in adoption trends, improving the ability to distinguish between fundamental adoptio"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2505.22456","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.GN","submitted_at":"2025-05-28T15:13:05Z","cross_cats_sorted":["q-fin.EC"],"title_canon_sha256":"0b9abb57cef5b8ec34758aa76f848fe211989d1049947e2e8d3bd3c1f948802b","abstract_canon_sha256":"2e7e16a9c26499fc57f13f173cee3d27953c32ba541c1240c2226a30779195bb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:34:08.575891Z","signature_b64":"HJgo1fjiqtyiuZLd1MFWhBtgn8d2rKwMffbccporRDnQger0EZP6PqIwmTkUrNngpduzgLVsYfU4bxWyJyjTDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"afae1dc686c6273ce56c956778f084c1277cbee04bf78e6d13ab094eb0367398","last_reissued_at":"2026-07-05T11:34:08.575418Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:34:08.575418Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Beyond Leaders and Laggards: A Typology of Renewable Energy Adoption Trajectories with Evidence from Off-Grid Communities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-fin.EC"],"primary_cat":"econ.GN","authors_text":"Emir Galilee, Havatzelet Yahel, Itai Ficshhendler, Michael Dorman, Roni Blushtein-Livnon, Tal Svoray","submitted_at":"2025-05-28T15:13:05Z","abstract_excerpt":"Understanding the dynamics of renewable energy adoption is essential for designing strategies that accelerate its spread - an urgent priority for advancing climate goals and improving well-being, especially in off-grid regions facing energy poverty. This study introduces a time-series-based analytical framework that quantifies and classifies adoption behaviors of geographic entities within a region. A novel metric, the Adoption over Time Index (ATI), captures cumulative adoption intensity and identifies shifts in adoption trends, improving the ability to distinguish between fundamental adoptio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.22456","kind":"arxiv","version":2},"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/2505.22456/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2505.22456","created_at":"2026-07-05T11:34:08.575479+00:00"},{"alias_kind":"arxiv_version","alias_value":"2505.22456v2","created_at":"2026-07-05T11:34:08.575479+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.22456","created_at":"2026-07-05T11:34:08.575479+00:00"},{"alias_kind":"pith_short_12","alias_value":"V6XB3RUGYYTT","created_at":"2026-07-05T11:34:08.575479+00:00"},{"alias_kind":"pith_short_16","alias_value":"V6XB3RUGYYTTZZLM","created_at":"2026-07-05T11:34:08.575479+00:00"},{"alias_kind":"pith_short_8","alias_value":"V6XB3RUG","created_at":"2026-07-05T11:34:08.575479+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.09642","citing_title":"From Expansion to Consolidation: Socio-Spatial Contagion Dynamics in Off-Grid PV Adoption","ref_index":13,"is_internal_anchor":false},{"citing_arxiv_id":"2605.09642","citing_title":"From Expansion to Consolidation: Socio-Spatial Contagion Dynamics in Off-Grid PV Adoption","ref_index":13,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/V6XB3RUGYYTTZZLMSVTXR4EEYE","json":"https://pith.science/pith/V6XB3RUGYYTTZZLMSVTXR4EEYE.json","graph_json":"https://pith.science/api/pith-number/V6XB3RUGYYTTZZLMSVTXR4EEYE/graph.json","events_json":"https://pith.science/api/pith-number/V6XB3RUGYYTTZZLMSVTXR4EEYE/events.json","paper":"https://pith.science/paper/V6XB3RUG"},"agent_actions":{"view_html":"https://pith.science/pith/V6XB3RUGYYTTZZLMSVTXR4EEYE","download_json":"https://pith.science/pith/V6XB3RUGYYTTZZLMSVTXR4EEYE.json","view_paper":"https://pith.science/paper/V6XB3RUG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2505.22456&json=true","fetch_graph":"https://pith.science/api/pith-number/V6XB3RUGYYTTZZLMSVTXR4EEYE/graph.json","fetch_events":"https://pith.science/api/pith-number/V6XB3RUGYYTTZZLMSVTXR4EEYE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/V6XB3RUGYYTTZZLMSVTXR4EEYE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/V6XB3RUGYYTTZZLMSVTXR4EEYE/action/storage_attestation","attest_author":"https://pith.science/pith/V6XB3RUGYYTTZZLMSVTXR4EEYE/action/author_attestation","sign_citation":"https://pith.science/pith/V6XB3RUGYYTTZZLMSVTXR4EEYE/action/citation_signature","submit_replication":"https://pith.science/pith/V6XB3RUGYYTTZZLMSVTXR4EEYE/action/replication_record"}},"created_at":"2026-07-05T11:34:08.575479+00:00","updated_at":"2026-07-05T11:34:08.575479+00:00"}