{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:P5GWYEGEDPY2CNFY2CH6G7F7OF","short_pith_number":"pith:P5GWYEGE","schema_version":"1.0","canonical_sha256":"7f4d6c10c41bf1a134b8d08fe37cbf7176cc1d15e10e05d8a63e2f01a4f5adc1","source":{"kind":"arxiv","id":"1805.00420","version":1},"attestation_state":"computed","paper":{"title":"Spatio-temporal Patterns of Indian Monsoon Rainfall","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Adway Mitra, Amit Apte, Rama Govindarajan, Sreekar Vadlamani, Vishal Vasan","submitted_at":"2018-05-01T16:35:46Z","abstract_excerpt":"The primary objective of this paper is to analyze a set of canonical spatial patterns that approximate the daily rainfall across the Indian region, as identified in the companion paper where we developed a discrete representation of the Indian summer monsoon rainfall using state variables with spatio-temporal coherence maintained using a Markov Random Field prior. In particular, we use these spatio-temporal patterns to study the variation of rainfall during the monsoon season. Firstly, the ten patterns are divided into three families of patterns distinguished by their total rainfall amount and"},"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":"1805.00420","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.AP","submitted_at":"2018-05-01T16:35:46Z","cross_cats_sorted":[],"title_canon_sha256":"68b2f24ea9369a8623857c65f762c83ea69bdb02b930f9ce8d3f8a0cd8d41822","abstract_canon_sha256":"c6ecb558f3a54f6845785dc6966e3fba77c92c0895398fd8a36c7f89cba1a09f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:08:57.078264Z","signature_b64":"Isqh4Ny3PLm0ZF598rGVdyH++xzJjTd7H4tQfq9P6PY9mlec/VoYKYAko+SgNTJpcbUnqedvy6xYPARlwZXgDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7f4d6c10c41bf1a134b8d08fe37cbf7176cc1d15e10e05d8a63e2f01a4f5adc1","last_reissued_at":"2026-07-05T02:08:57.077914Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:08:57.077914Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Spatio-temporal Patterns of Indian Monsoon Rainfall","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Adway Mitra, Amit Apte, Rama Govindarajan, Sreekar Vadlamani, Vishal Vasan","submitted_at":"2018-05-01T16:35:46Z","abstract_excerpt":"The primary objective of this paper is to analyze a set of canonical spatial patterns that approximate the daily rainfall across the Indian region, as identified in the companion paper where we developed a discrete representation of the Indian summer monsoon rainfall using state variables with spatio-temporal coherence maintained using a Markov Random Field prior. In particular, we use these spatio-temporal patterns to study the variation of rainfall during the monsoon season. Firstly, the ten patterns are divided into three families of patterns distinguished by their total rainfall amount and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.00420","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/1805.00420/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":"1805.00420","created_at":"2026-07-05T02:08:57.077969+00:00"},{"alias_kind":"arxiv_version","alias_value":"1805.00420v1","created_at":"2026-07-05T02:08:57.077969+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.00420","created_at":"2026-07-05T02:08:57.077969+00:00"},{"alias_kind":"pith_short_12","alias_value":"P5GWYEGEDPY2","created_at":"2026-07-05T02:08:57.077969+00:00"},{"alias_kind":"pith_short_16","alias_value":"P5GWYEGEDPY2CNFY","created_at":"2026-07-05T02:08:57.077969+00:00"},{"alias_kind":"pith_short_8","alias_value":"P5GWYEGE","created_at":"2026-07-05T02:08:57.077969+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/P5GWYEGEDPY2CNFY2CH6G7F7OF","json":"https://pith.science/pith/P5GWYEGEDPY2CNFY2CH6G7F7OF.json","graph_json":"https://pith.science/api/pith-number/P5GWYEGEDPY2CNFY2CH6G7F7OF/graph.json","events_json":"https://pith.science/api/pith-number/P5GWYEGEDPY2CNFY2CH6G7F7OF/events.json","paper":"https://pith.science/paper/P5GWYEGE"},"agent_actions":{"view_html":"https://pith.science/pith/P5GWYEGEDPY2CNFY2CH6G7F7OF","download_json":"https://pith.science/pith/P5GWYEGEDPY2CNFY2CH6G7F7OF.json","view_paper":"https://pith.science/paper/P5GWYEGE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1805.00420&json=true","fetch_graph":"https://pith.science/api/pith-number/P5GWYEGEDPY2CNFY2CH6G7F7OF/graph.json","fetch_events":"https://pith.science/api/pith-number/P5GWYEGEDPY2CNFY2CH6G7F7OF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/P5GWYEGEDPY2CNFY2CH6G7F7OF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/P5GWYEGEDPY2CNFY2CH6G7F7OF/action/storage_attestation","attest_author":"https://pith.science/pith/P5GWYEGEDPY2CNFY2CH6G7F7OF/action/author_attestation","sign_citation":"https://pith.science/pith/P5GWYEGEDPY2CNFY2CH6G7F7OF/action/citation_signature","submit_replication":"https://pith.science/pith/P5GWYEGEDPY2CNFY2CH6G7F7OF/action/replication_record"}},"created_at":"2026-07-05T02:08:57.077969+00:00","updated_at":"2026-07-05T02:08:57.077969+00:00"}