{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:P5GWYEGEDPY2CNFY2CH6G7F7OF","short_pith_number":"pith:P5GWYEGE","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"},"canonical_sha256":"7f4d6c10c41bf1a134b8d08fe37cbf7176cc1d15e10e05d8a63e2f01a4f5adc1","source":{"kind":"arxiv","id":"1805.00420","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.00420","created_at":"2026-07-05T02:08:57Z"},{"alias_kind":"arxiv_version","alias_value":"1805.00420v1","created_at":"2026-07-05T02:08:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.00420","created_at":"2026-07-05T02:08:57Z"},{"alias_kind":"pith_short_12","alias_value":"P5GWYEGEDPY2","created_at":"2026-07-05T02:08:57Z"},{"alias_kind":"pith_short_16","alias_value":"P5GWYEGEDPY2CNFY","created_at":"2026-07-05T02:08:57Z"},{"alias_kind":"pith_short_8","alias_value":"P5GWYEGE","created_at":"2026-07-05T02:08:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:P5GWYEGEDPY2CNFY2CH6G7F7OF","target":"record","payload":{"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"},"canonical_sha256":"7f4d6c10c41bf1a134b8d08fe37cbf7176cc1d15e10e05d8a63e2f01a4f5adc1","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"},"source_kind":"arxiv","source_id":"1805.00420","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":"2026-07-05T02:08:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5UtcJbwfnUIhEb5WJctUy5t1Y58FyvHtguSFPHx6MD/DjfwWvoh+a+hv5pOAufCqzXTVRlqS6ZJw0rj5WMpEBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T06:26:20.171341Z"},"content_sha256":"5f3fa927d1e9f4a5f22e6530d10b6fdc268cb993db97a8d6908b1968b532aa4f","schema_version":"1.0","event_id":"sha256:5f3fa927d1e9f4a5f22e6530d10b6fdc268cb993db97a8d6908b1968b532aa4f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:P5GWYEGEDPY2CNFY2CH6G7F7OF","target":"graph","payload":{"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:08:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zs4k6hr8RCVhwT9ThiZaN3rJyiB2kIfl6oM8jLypJiyeKsGuudTCREAnKbcc4W8U/Q6ZIVCJl6/s8KmoVk5dCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T06:26:20.172256Z"},"content_sha256":"9b834c4b2aa42f226910edbe603939bfa0f40882b392deee5c09633ab6359fcf","schema_version":"1.0","event_id":"sha256:9b834c4b2aa42f226910edbe603939bfa0f40882b392deee5c09633ab6359fcf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P5GWYEGEDPY2CNFY2CH6G7F7OF/bundle.json","state_url":"https://pith.science/pith/P5GWYEGEDPY2CNFY2CH6G7F7OF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P5GWYEGEDPY2CNFY2CH6G7F7OF/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":"2026-08-04T06:26:20Z","links":{"resolver":"https://pith.science/pith/P5GWYEGEDPY2CNFY2CH6G7F7OF","bundle":"https://pith.science/pith/P5GWYEGEDPY2CNFY2CH6G7F7OF/bundle.json","state":"https://pith.science/pith/P5GWYEGEDPY2CNFY2CH6G7F7OF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P5GWYEGEDPY2CNFY2CH6G7F7OF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:P5GWYEGEDPY2CNFY2CH6G7F7OF","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":"c6ecb558f3a54f6845785dc6966e3fba77c92c0895398fd8a36c7f89cba1a09f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.AP","submitted_at":"2018-05-01T16:35:46Z","title_canon_sha256":"68b2f24ea9369a8623857c65f762c83ea69bdb02b930f9ce8d3f8a0cd8d41822"},"schema_version":"1.0","source":{"id":"1805.00420","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.00420","created_at":"2026-07-05T02:08:57Z"},{"alias_kind":"arxiv_version","alias_value":"1805.00420v1","created_at":"2026-07-05T02:08:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.00420","created_at":"2026-07-05T02:08:57Z"},{"alias_kind":"pith_short_12","alias_value":"P5GWYEGEDPY2","created_at":"2026-07-05T02:08:57Z"},{"alias_kind":"pith_short_16","alias_value":"P5GWYEGEDPY2CNFY","created_at":"2026-07-05T02:08:57Z"},{"alias_kind":"pith_short_8","alias_value":"P5GWYEGE","created_at":"2026-07-05T02:08:57Z"}],"graph_snapshots":[{"event_id":"sha256:9b834c4b2aa42f226910edbe603939bfa0f40882b392deee5c09633ab6359fcf","target":"graph","created_at":"2026-07-05T02:08:57Z","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/1805.00420/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"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","authors_text":"Adway Mitra, Amit Apte, Rama Govindarajan, Sreekar Vadlamani, Vishal Vasan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.AP","submitted_at":"2018-05-01T16:35:46Z","title":"Spatio-temporal Patterns of Indian Monsoon Rainfall"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.00420","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":"sha256:5f3fa927d1e9f4a5f22e6530d10b6fdc268cb993db97a8d6908b1968b532aa4f","target":"record","created_at":"2026-07-05T02:08:57Z","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":"c6ecb558f3a54f6845785dc6966e3fba77c92c0895398fd8a36c7f89cba1a09f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.AP","submitted_at":"2018-05-01T16:35:46Z","title_canon_sha256":"68b2f24ea9369a8623857c65f762c83ea69bdb02b930f9ce8d3f8a0cd8d41822"},"schema_version":"1.0","source":{"id":"1805.00420","kind":"arxiv","version":1}},"canonical_sha256":"7f4d6c10c41bf1a134b8d08fe37cbf7176cc1d15e10e05d8a63e2f01a4f5adc1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7f4d6c10c41bf1a134b8d08fe37cbf7176cc1d15e10e05d8a63e2f01a4f5adc1","first_computed_at":"2026-07-05T02:08:57.077914Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:08:57.077914Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Isqh4Ny3PLm0ZF598rGVdyH++xzJjTd7H4tQfq9P6PY9mlec/VoYKYAko+SgNTJpcbUnqedvy6xYPARlwZXgDw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:08:57.078264Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.00420","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5f3fa927d1e9f4a5f22e6530d10b6fdc268cb993db97a8d6908b1968b532aa4f","sha256:9b834c4b2aa42f226910edbe603939bfa0f40882b392deee5c09633ab6359fcf"],"state_sha256":"0a4f86a3e2db16c1606a2bd71ce00086b4ffde5bce6c2331d88430b608e45a41"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uEw+CcvHgo0ZD3EJtjhyDF0nIGe0uCnCHFLD0dbM8C5D0PLHlIgRTUv0NBn8Z0DDeCIRRXwCp+ssGyOyD8gODg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T06:26:20.179364Z","bundle_sha256":"124873d77fdae06f9d182d3a450296a0edc3ee6105b907a0e27fc4e383b8ae21"}}