{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:CEDV74X44BB4WQLNGX5OORA53F","short_pith_number":"pith:CEDV74X4","canonical_record":{"source":{"id":"1909.08035","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-09-17T19:08:04Z","cross_cats_sorted":[],"title_canon_sha256":"d979c9e561a10cd77ab56affe3f3ad182af46bd2997591075f9dca7ae8b59811","abstract_canon_sha256":"922a4fd30760780ae441e6d024b9158eb1225fd1e10229045afdfc1513843e79"},"schema_version":"1.0"},"canonical_sha256":"11075ff2fce043cb416d35fae7441dd94211582904209ba3844d08e0e67512ab","source":{"kind":"arxiv","id":"1909.08035","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.08035","created_at":"2026-07-05T07:51:21Z"},{"alias_kind":"arxiv_version","alias_value":"1909.08035v4","created_at":"2026-07-05T07:51:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.08035","created_at":"2026-07-05T07:51:21Z"},{"alias_kind":"pith_short_12","alias_value":"CEDV74X44BB4","created_at":"2026-07-05T07:51:21Z"},{"alias_kind":"pith_short_16","alias_value":"CEDV74X44BB4WQLN","created_at":"2026-07-05T07:51:21Z"},{"alias_kind":"pith_short_8","alias_value":"CEDV74X4","created_at":"2026-07-05T07:51:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:CEDV74X44BB4WQLNGX5OORA53F","target":"record","payload":{"canonical_record":{"source":{"id":"1909.08035","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-09-17T19:08:04Z","cross_cats_sorted":[],"title_canon_sha256":"d979c9e561a10cd77ab56affe3f3ad182af46bd2997591075f9dca7ae8b59811","abstract_canon_sha256":"922a4fd30760780ae441e6d024b9158eb1225fd1e10229045afdfc1513843e79"},"schema_version":"1.0"},"canonical_sha256":"11075ff2fce043cb416d35fae7441dd94211582904209ba3844d08e0e67512ab","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:51:21.970185Z","signature_b64":"GBitYWg9dveuyBCtoExNNI7HgL2g/X9bCk67W9cLVQ/chRG9XMjyAupxY/mMYmfwqCVBjYHgGp5sF00avcm8DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"11075ff2fce043cb416d35fae7441dd94211582904209ba3844d08e0e67512ab","last_reissued_at":"2026-07-05T07:51:21.969709Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:51:21.969709Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1909.08035","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:51:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ICT5GoFA5ZrauKWPFo/3Ah1vrrzZ93vqHpMbdWZ3fmApBEFEsBMtsqRirXA78rFekcWPn0DjaeIHRHZLvaKvCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T03:56:05.224392Z"},"content_sha256":"7b4295c19405558bd4c8e02edafd20a66b1cb832fbb33697639b4bc20ea37b81","schema_version":"1.0","event_id":"sha256:7b4295c19405558bd4c8e02edafd20a66b1cb832fbb33697639b4bc20ea37b81"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:CEDV74X44BB4WQLNGX5OORA53F","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust statistical modeling of monthly rainfall: The minimum density power divergence approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Abhik Ghosh, Arnab Hazra","submitted_at":"2019-09-17T19:08:04Z","abstract_excerpt":"Statistical modeling of monthly, seasonal, or annual rainfall data is an important research area in meteorology. These models play a crucial role in rainfed agriculture, where a proper assessment of the future availability of rainwater is necessary. The rainfall amount during a rainy month or a whole rainy season} can take any positive value and some simple (one or two-parameter) probability models supported over the positive real line that are generally used for rainfall modeling are exponential, gamma, Weibull, lognormal, Pearson Type-V/VI, log-logistic, etc., where the unknown model paramet"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.08035","kind":"arxiv","version":4},"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/1909.08035/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":"2026-07-05T07:51:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/HHnTdlVtE9kTcIWNww76IG5tkzOsHQZz0yqgDmoI9J9vYnAT+XIdFVdDgUjX1iWaOturP1hLOuF8sYPwh8ECA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T03:56:05.225318Z"},"content_sha256":"5f2d6324c14029874e5f6f540bcde53929c5cf3f69035e20f64e337d2915c96a","schema_version":"1.0","event_id":"sha256:5f2d6324c14029874e5f6f540bcde53929c5cf3f69035e20f64e337d2915c96a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CEDV74X44BB4WQLNGX5OORA53F/bundle.json","state_url":"https://pith.science/pith/CEDV74X44BB4WQLNGX5OORA53F/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CEDV74X44BB4WQLNGX5OORA53F/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":"2026-08-10T03:56:05Z","links":{"resolver":"https://pith.science/pith/CEDV74X44BB4WQLNGX5OORA53F","bundle":"https://pith.science/pith/CEDV74X44BB4WQLNGX5OORA53F/bundle.json","state":"https://pith.science/pith/CEDV74X44BB4WQLNGX5OORA53F/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CEDV74X44BB4WQLNGX5OORA53F/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:CEDV74X44BB4WQLNGX5OORA53F","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":"922a4fd30760780ae441e6d024b9158eb1225fd1e10229045afdfc1513843e79","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-09-17T19:08:04Z","title_canon_sha256":"d979c9e561a10cd77ab56affe3f3ad182af46bd2997591075f9dca7ae8b59811"},"schema_version":"1.0","source":{"id":"1909.08035","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.08035","created_at":"2026-07-05T07:51:21Z"},{"alias_kind":"arxiv_version","alias_value":"1909.08035v4","created_at":"2026-07-05T07:51:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.08035","created_at":"2026-07-05T07:51:21Z"},{"alias_kind":"pith_short_12","alias_value":"CEDV74X44BB4","created_at":"2026-07-05T07:51:21Z"},{"alias_kind":"pith_short_16","alias_value":"CEDV74X44BB4WQLN","created_at":"2026-07-05T07:51:21Z"},{"alias_kind":"pith_short_8","alias_value":"CEDV74X4","created_at":"2026-07-05T07:51:21Z"}],"graph_snapshots":[{"event_id":"sha256:5f2d6324c14029874e5f6f540bcde53929c5cf3f69035e20f64e337d2915c96a","target":"graph","created_at":"2026-07-05T07:51:21Z","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/1909.08035/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Statistical modeling of monthly, seasonal, or annual rainfall data is an important research area in meteorology. These models play a crucial role in rainfed agriculture, where a proper assessment of the future availability of rainwater is necessary. The rainfall amount during a rainy month or a whole rainy season} can take any positive value and some simple (one or two-parameter) probability models supported over the positive real line that are generally used for rainfall modeling are exponential, gamma, Weibull, lognormal, Pearson Type-V/VI, log-logistic, etc., where the unknown model paramet","authors_text":"Abhik Ghosh, Arnab Hazra","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-09-17T19:08:04Z","title":"Robust statistical modeling of monthly rainfall: The minimum density power divergence approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.08035","kind":"arxiv","version":4},"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":"sha256:7b4295c19405558bd4c8e02edafd20a66b1cb832fbb33697639b4bc20ea37b81","target":"record","created_at":"2026-07-05T07:51:21Z","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":"922a4fd30760780ae441e6d024b9158eb1225fd1e10229045afdfc1513843e79","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-09-17T19:08:04Z","title_canon_sha256":"d979c9e561a10cd77ab56affe3f3ad182af46bd2997591075f9dca7ae8b59811"},"schema_version":"1.0","source":{"id":"1909.08035","kind":"arxiv","version":4}},"canonical_sha256":"11075ff2fce043cb416d35fae7441dd94211582904209ba3844d08e0e67512ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"11075ff2fce043cb416d35fae7441dd94211582904209ba3844d08e0e67512ab","first_computed_at":"2026-07-05T07:51:21.969709Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:51:21.969709Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GBitYWg9dveuyBCtoExNNI7HgL2g/X9bCk67W9cLVQ/chRG9XMjyAupxY/mMYmfwqCVBjYHgGp5sF00avcm8DA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:51:21.970185Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.08035","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7b4295c19405558bd4c8e02edafd20a66b1cb832fbb33697639b4bc20ea37b81","sha256:5f2d6324c14029874e5f6f540bcde53929c5cf3f69035e20f64e337d2915c96a"],"state_sha256":"d7b15c8b7bbb194e6286135a2d3a4491f5ef94c08840ff6677b52b645f9fbc3c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k2xjU9pCsAJ32P8qKeEhbYDw9JXFjWc1Lnao3NO91RvUF0h89/+xp9+Q+KdLpM7C5C+OudysbczRr093hxWeDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T03:56:05.233412Z","bundle_sha256":"08fe02676fa8085a3358a5d3b6f07557b8a3f1f211ccc816a949c5ea47237ea6"}}