{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:KO2GRJ5O4VHU4IXMCKYNSA3XDK","short_pith_number":"pith:KO2GRJ5O","schema_version":"1.0","canonical_sha256":"53b468a7aee54f4e22ec12b0d903771a9507c5b9d80176347d22cf8ed7ebf5d4","source":{"kind":"arxiv","id":"1305.4803","version":2},"attestation_state":"computed","paper":{"title":"Improving predictive power of physically based rainfall-induced shallow landslide models: a probabilistic approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.ao-ph","physics.comp-ph","physics.data-an"],"primary_cat":"physics.geo-ph","authors_text":"F. Guzzetti, J. W. Godt, M. Alvioli, M. Rossi, R. L. Baum, S. Raia","submitted_at":"2013-05-21T12:50:23Z","abstract_excerpt":"Distributed models to forecast the spatial and temporal occurrence of rainfall-induced shallow landslides are based on deterministic laws. These models extend spatially the static stability models adopted in geotechnical engineering, and adopt an infinite-slope geometry to balance the resisting and the driving forces acting on the sliding mass. An infiltration model is used to determine how rainfall changes pore-water conditions, modulating the local stability/instability conditions. A problem with the operation of the existing models lays in the difficulty in obtaining accurate values for the"},"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":"1305.4803","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.geo-ph","submitted_at":"2013-05-21T12:50:23Z","cross_cats_sorted":["physics.ao-ph","physics.comp-ph","physics.data-an"],"title_canon_sha256":"323a02f49681accd6b43db043b8b052309fb47ec7e9ba5c7da23ad43eaf7f9d9","abstract_canon_sha256":"e20c9f810d98aa7e0ca4d769fbe42c6178a233367a219054ab1a1aa05cb1dde4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:56:21.285137Z","signature_b64":"G00L80TYZqASE8M7oOIHosYRV0M6k2CD51sB/daocofjKTzjD/zPw6oBvhrOynXYWv7XrKUGBIC7WE00ZK/9Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"53b468a7aee54f4e22ec12b0d903771a9507c5b9d80176347d22cf8ed7ebf5d4","last_reissued_at":"2026-05-18T02:56:21.284357Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:56:21.284357Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Improving predictive power of physically based rainfall-induced shallow landslide models: a probabilistic approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.ao-ph","physics.comp-ph","physics.data-an"],"primary_cat":"physics.geo-ph","authors_text":"F. Guzzetti, J. W. Godt, M. Alvioli, M. Rossi, R. L. Baum, S. Raia","submitted_at":"2013-05-21T12:50:23Z","abstract_excerpt":"Distributed models to forecast the spatial and temporal occurrence of rainfall-induced shallow landslides are based on deterministic laws. These models extend spatially the static stability models adopted in geotechnical engineering, and adopt an infinite-slope geometry to balance the resisting and the driving forces acting on the sliding mass. An infiltration model is used to determine how rainfall changes pore-water conditions, modulating the local stability/instability conditions. A problem with the operation of the existing models lays in the difficulty in obtaining accurate values for the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1305.4803","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":""},"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":"1305.4803","created_at":"2026-05-18T02:56:21.284493+00:00"},{"alias_kind":"arxiv_version","alias_value":"1305.4803v2","created_at":"2026-05-18T02:56:21.284493+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1305.4803","created_at":"2026-05-18T02:56:21.284493+00:00"},{"alias_kind":"pith_short_12","alias_value":"KO2GRJ5O4VHU","created_at":"2026-05-18T12:27:51.066281+00:00"},{"alias_kind":"pith_short_16","alias_value":"KO2GRJ5O4VHU4IXM","created_at":"2026-05-18T12:27:51.066281+00:00"},{"alias_kind":"pith_short_8","alias_value":"KO2GRJ5O","created_at":"2026-05-18T12:27:51.066281+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/KO2GRJ5O4VHU4IXMCKYNSA3XDK","json":"https://pith.science/pith/KO2GRJ5O4VHU4IXMCKYNSA3XDK.json","graph_json":"https://pith.science/api/pith-number/KO2GRJ5O4VHU4IXMCKYNSA3XDK/graph.json","events_json":"https://pith.science/api/pith-number/KO2GRJ5O4VHU4IXMCKYNSA3XDK/events.json","paper":"https://pith.science/paper/KO2GRJ5O"},"agent_actions":{"view_html":"https://pith.science/pith/KO2GRJ5O4VHU4IXMCKYNSA3XDK","download_json":"https://pith.science/pith/KO2GRJ5O4VHU4IXMCKYNSA3XDK.json","view_paper":"https://pith.science/paper/KO2GRJ5O","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1305.4803&json=true","fetch_graph":"https://pith.science/api/pith-number/KO2GRJ5O4VHU4IXMCKYNSA3XDK/graph.json","fetch_events":"https://pith.science/api/pith-number/KO2GRJ5O4VHU4IXMCKYNSA3XDK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KO2GRJ5O4VHU4IXMCKYNSA3XDK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KO2GRJ5O4VHU4IXMCKYNSA3XDK/action/storage_attestation","attest_author":"https://pith.science/pith/KO2GRJ5O4VHU4IXMCKYNSA3XDK/action/author_attestation","sign_citation":"https://pith.science/pith/KO2GRJ5O4VHU4IXMCKYNSA3XDK/action/citation_signature","submit_replication":"https://pith.science/pith/KO2GRJ5O4VHU4IXMCKYNSA3XDK/action/replication_record"}},"created_at":"2026-05-18T02:56:21.284493+00:00","updated_at":"2026-05-18T02:56:21.284493+00:00"}