{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:JHYF6XNS2LVFPMBFOJMWKQMOTK","short_pith_number":"pith:JHYF6XNS","canonical_record":{"source":{"id":"1703.09007","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-03-27T11:04:00Z","cross_cats_sorted":[],"title_canon_sha256":"b8b5a14f2f36b19249842ad56827f9531a3da4901d129cd89154d3b1c29e6600","abstract_canon_sha256":"0c6fa41248c108d1493fb5d2952cee273b670e1e62c6316883e0a70671d10441"},"schema_version":"1.0"},"canonical_sha256":"49f05f5db2d2ea57b025725965418e9a9d30715773cd82a30ec9e64e82466a91","source":{"kind":"arxiv","id":"1703.09007","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.09007","created_at":"2026-05-18T00:31:45Z"},{"alias_kind":"arxiv_version","alias_value":"1703.09007v2","created_at":"2026-05-18T00:31:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.09007","created_at":"2026-05-18T00:31:45Z"},{"alias_kind":"pith_short_12","alias_value":"JHYF6XNS2LVF","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JHYF6XNS2LVFPMBF","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JHYF6XNS","created_at":"2026-05-18T12:31:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:JHYF6XNS2LVFPMBFOJMWKQMOTK","target":"record","payload":{"canonical_record":{"source":{"id":"1703.09007","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-03-27T11:04:00Z","cross_cats_sorted":[],"title_canon_sha256":"b8b5a14f2f36b19249842ad56827f9531a3da4901d129cd89154d3b1c29e6600","abstract_canon_sha256":"0c6fa41248c108d1493fb5d2952cee273b670e1e62c6316883e0a70671d10441"},"schema_version":"1.0"},"canonical_sha256":"49f05f5db2d2ea57b025725965418e9a9d30715773cd82a30ec9e64e82466a91","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:31:45.193309Z","signature_b64":"de0Rtliv3s+4P3zOHOvxp7AiB16DI5NdTuYEJicN1R9CcdLd1Y4qcUWaV5dTiG1MfF9ljuqeQEwrRmQcJHHXCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"49f05f5db2d2ea57b025725965418e9a9d30715773cd82a30ec9e64e82466a91","last_reissued_at":"2026-05-18T00:31:45.192686Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:31:45.192686Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.09007","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:31:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ckh74oc1z6ATeJJnPs6E8SSMsWWmF+PrRW1VVvixkGESvvF4Dwzw+16ucG6nyKVranUur/b0EYZoBkNLeae3CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T21:22:05.668830Z"},"content_sha256":"e758b1b6756a4c8c6e6fb029bcecf506d62f7b67957ef1988847b8debc6a2015","schema_version":"1.0","event_id":"sha256:e758b1b6756a4c8c6e6fb029bcecf506d62f7b67957ef1988847b8debc6a2015"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:JHYF6XNS2LVFPMBFOJMWKQMOTK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Detection of Spatiotemporally Coherent Rainfall Anomalies Using Markov Random Fields","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Adway Mitra, Ashwin K. Seshadri","submitted_at":"2017-03-27T11:04:00Z","abstract_excerpt":"Precipitation is a large-scale, spatio-temporally heterogeneous phenomenon, with frequent anomalies exhibiting unusually high or low values. We use Markov Random Fields (MRFs) to detect spatio-temporally coherent anomalies in gridded annual rainfall data across India from 1901-2005. MRFs are undirected graphical models where each node is associated with a \\{location,year\\} pair, with edges connecting nodes representing adjacent locations or years. Some nodes represent observations of precipitation, while the rest represent unobserved (\\emph{latent}) states that can take one of three values: hi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.09007","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:31:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EYi4VJTYs3PLskolmPqTLa3iSubwyP5fsOl3kj1iN8fRqqEOhoa1AcnrkndsYDtWMrLtWG71xPfX95k2qGH9AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T21:22:05.669208Z"},"content_sha256":"efdecfb3b4e6a317ca9ac2e4d8ed5f5d995cf2f8ba03adbc2882b753a063cb75","schema_version":"1.0","event_id":"sha256:efdecfb3b4e6a317ca9ac2e4d8ed5f5d995cf2f8ba03adbc2882b753a063cb75"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JHYF6XNS2LVFPMBFOJMWKQMOTK/bundle.json","state_url":"https://pith.science/pith/JHYF6XNS2LVFPMBFOJMWKQMOTK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JHYF6XNS2LVFPMBFOJMWKQMOTK/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":"2026-05-29T21:22:05Z","links":{"resolver":"https://pith.science/pith/JHYF6XNS2LVFPMBFOJMWKQMOTK","bundle":"https://pith.science/pith/JHYF6XNS2LVFPMBFOJMWKQMOTK/bundle.json","state":"https://pith.science/pith/JHYF6XNS2LVFPMBFOJMWKQMOTK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JHYF6XNS2LVFPMBFOJMWKQMOTK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:JHYF6XNS2LVFPMBFOJMWKQMOTK","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":"0c6fa41248c108d1493fb5d2952cee273b670e1e62c6316883e0a70671d10441","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-03-27T11:04:00Z","title_canon_sha256":"b8b5a14f2f36b19249842ad56827f9531a3da4901d129cd89154d3b1c29e6600"},"schema_version":"1.0","source":{"id":"1703.09007","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.09007","created_at":"2026-05-18T00:31:45Z"},{"alias_kind":"arxiv_version","alias_value":"1703.09007v2","created_at":"2026-05-18T00:31:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.09007","created_at":"2026-05-18T00:31:45Z"},{"alias_kind":"pith_short_12","alias_value":"JHYF6XNS2LVF","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JHYF6XNS2LVFPMBF","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JHYF6XNS","created_at":"2026-05-18T12:31:24Z"}],"graph_snapshots":[{"event_id":"sha256:efdecfb3b4e6a317ca9ac2e4d8ed5f5d995cf2f8ba03adbc2882b753a063cb75","target":"graph","created_at":"2026-05-18T00:31:45Z","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"},"paper":{"abstract_excerpt":"Precipitation is a large-scale, spatio-temporally heterogeneous phenomenon, with frequent anomalies exhibiting unusually high or low values. We use Markov Random Fields (MRFs) to detect spatio-temporally coherent anomalies in gridded annual rainfall data across India from 1901-2005. MRFs are undirected graphical models where each node is associated with a \\{location,year\\} pair, with edges connecting nodes representing adjacent locations or years. Some nodes represent observations of precipitation, while the rest represent unobserved (\\emph{latent}) states that can take one of three values: hi","authors_text":"Adway Mitra, Ashwin K. Seshadri","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-03-27T11:04:00Z","title":"Detection of Spatiotemporally Coherent Rainfall Anomalies Using Markov Random Fields"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.09007","kind":"arxiv","version":2},"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:e758b1b6756a4c8c6e6fb029bcecf506d62f7b67957ef1988847b8debc6a2015","target":"record","created_at":"2026-05-18T00:31:45Z","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":"0c6fa41248c108d1493fb5d2952cee273b670e1e62c6316883e0a70671d10441","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-03-27T11:04:00Z","title_canon_sha256":"b8b5a14f2f36b19249842ad56827f9531a3da4901d129cd89154d3b1c29e6600"},"schema_version":"1.0","source":{"id":"1703.09007","kind":"arxiv","version":2}},"canonical_sha256":"49f05f5db2d2ea57b025725965418e9a9d30715773cd82a30ec9e64e82466a91","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"49f05f5db2d2ea57b025725965418e9a9d30715773cd82a30ec9e64e82466a91","first_computed_at":"2026-05-18T00:31:45.192686Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:31:45.192686Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"de0Rtliv3s+4P3zOHOvxp7AiB16DI5NdTuYEJicN1R9CcdLd1Y4qcUWaV5dTiG1MfF9ljuqeQEwrRmQcJHHXCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:31:45.193309Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.09007","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e758b1b6756a4c8c6e6fb029bcecf506d62f7b67957ef1988847b8debc6a2015","sha256:efdecfb3b4e6a317ca9ac2e4d8ed5f5d995cf2f8ba03adbc2882b753a063cb75"],"state_sha256":"470b0cc1d3f77b42d7cb0e4c60e55e1d8bb2c97a9ddbe2d3b89d42aba9842da7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NEOw5ir/qCASrazkXx5C8gnXQkyU8IfGNEn64QQHy+xVzfPms86rH4zefEoE2RSQTn72vEpdTmOhIhQiy6HOBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-29T21:22:05.672751Z","bundle_sha256":"3257192d2b7153c1aa86c6cacfbd38b4cdc6bc52ed32209ee3c7be0251fc596f"}}