{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:XQHKVDI3RZVHCWZ6PCXDY22NCA","short_pith_number":"pith:XQHKVDI3","canonical_record":{"source":{"id":"1804.10535","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-04-27T14:45:11Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"b80405d037b59e68a61a06115228d8a0cd87180efea96e4e09c21d0584aeea46","abstract_canon_sha256":"cef1a2d3becbabb543466667ed7ec6aa7876b568f8b02739bb11249c62cfeb79"},"schema_version":"1.0"},"canonical_sha256":"bc0eaa8d1b8e6a715b3e78ae3c6b4d1037861426002360085d781e250c0b205e","source":{"kind":"arxiv","id":"1804.10535","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.10535","created_at":"2026-05-18T00:17:20Z"},{"alias_kind":"arxiv_version","alias_value":"1804.10535v1","created_at":"2026-05-18T00:17:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.10535","created_at":"2026-05-18T00:17:20Z"},{"alias_kind":"pith_short_12","alias_value":"XQHKVDI3RZVH","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"XQHKVDI3RZVHCWZ6","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"XQHKVDI3","created_at":"2026-05-18T12:33:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:XQHKVDI3RZVHCWZ6PCXDY22NCA","target":"record","payload":{"canonical_record":{"source":{"id":"1804.10535","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-04-27T14:45:11Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"b80405d037b59e68a61a06115228d8a0cd87180efea96e4e09c21d0584aeea46","abstract_canon_sha256":"cef1a2d3becbabb543466667ed7ec6aa7876b568f8b02739bb11249c62cfeb79"},"schema_version":"1.0"},"canonical_sha256":"bc0eaa8d1b8e6a715b3e78ae3c6b4d1037861426002360085d781e250c0b205e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:17:20.484431Z","signature_b64":"+/tEyW/fvLfpd61tCv28oeO5m7ex17tPAsWuOwQ7gxuhS1FjJKzMNMAvbjnuiA3QDEdCJp0VpSbRm5kxClSwDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bc0eaa8d1b8e6a715b3e78ae3c6b4d1037861426002360085d781e250c0b205e","last_reissued_at":"2026-05-18T00:17:20.483948Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:17:20.483948Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.10535","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":"2026-05-18T00:17:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0SdQy8VudFq85mOOi3HzDAxlf5SZt98Td7qZS8E2GfX2FDOn7jFfLnuiE67iQDoNX2bGZ12R+ikI7+LhNf8YBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T14:10:55.686568Z"},"content_sha256":"6fbd4b64134e30c18879fc9efab71e19930fde90f604089f29b76c6dcd843c0e","schema_version":"1.0","event_id":"sha256:6fbd4b64134e30c18879fc9efab71e19930fde90f604089f29b76c6dcd843c0e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:XQHKVDI3RZVHCWZ6PCXDY22NCA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Non-Stationary Space-Time Models for Environmental Monitoring","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Amarjeet Singh, Fabio Ramos, Sahil Garg","submitted_at":"2018-04-27T14:45:11Z","abstract_excerpt":"One of the primary aspects of sustainable development involves accurate understanding and modeling of environmental phenomena. Many of these phenomena exhibit variations in both space and time and it is imperative to develop a deeper understanding of techniques that can model space-time dynamics accurately. In this paper we propose NOSTILL-GP - NOn-stationary Space TIme variable Latent Length scale GP, a generic non-stationary, spatio-temporal Gaussian Process (GP) model. We present several strategies, for efficient training of our model, necessary for real-world applicability. Extensive empir"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.10535","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":""},"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":"2026-05-18T00:17:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EEdEa4WhJPo9jWmNsUekW1fyjiB71yJAe3BMKYGJ9xGzn26p9KPVBjYJEHtyEFBj+qY3AX+g70Rtxv/GbBb/Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T14:10:55.686948Z"},"content_sha256":"b6a81d8015b1a35cc48782ad79c3fee99e4dfc0ee4a9f0f88c51fcdfa6db1e8c","schema_version":"1.0","event_id":"sha256:b6a81d8015b1a35cc48782ad79c3fee99e4dfc0ee4a9f0f88c51fcdfa6db1e8c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XQHKVDI3RZVHCWZ6PCXDY22NCA/bundle.json","state_url":"https://pith.science/pith/XQHKVDI3RZVHCWZ6PCXDY22NCA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XQHKVDI3RZVHCWZ6PCXDY22NCA/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":"2026-06-01T14:10:55Z","links":{"resolver":"https://pith.science/pith/XQHKVDI3RZVHCWZ6PCXDY22NCA","bundle":"https://pith.science/pith/XQHKVDI3RZVHCWZ6PCXDY22NCA/bundle.json","state":"https://pith.science/pith/XQHKVDI3RZVHCWZ6PCXDY22NCA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XQHKVDI3RZVHCWZ6PCXDY22NCA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:XQHKVDI3RZVHCWZ6PCXDY22NCA","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":"cef1a2d3becbabb543466667ed7ec6aa7876b568f8b02739bb11249c62cfeb79","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-04-27T14:45:11Z","title_canon_sha256":"b80405d037b59e68a61a06115228d8a0cd87180efea96e4e09c21d0584aeea46"},"schema_version":"1.0","source":{"id":"1804.10535","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.10535","created_at":"2026-05-18T00:17:20Z"},{"alias_kind":"arxiv_version","alias_value":"1804.10535v1","created_at":"2026-05-18T00:17:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.10535","created_at":"2026-05-18T00:17:20Z"},{"alias_kind":"pith_short_12","alias_value":"XQHKVDI3RZVH","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"XQHKVDI3RZVHCWZ6","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"XQHKVDI3","created_at":"2026-05-18T12:33:01Z"}],"graph_snapshots":[{"event_id":"sha256:b6a81d8015b1a35cc48782ad79c3fee99e4dfc0ee4a9f0f88c51fcdfa6db1e8c","target":"graph","created_at":"2026-05-18T00:17:20Z","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":"One of the primary aspects of sustainable development involves accurate understanding and modeling of environmental phenomena. Many of these phenomena exhibit variations in both space and time and it is imperative to develop a deeper understanding of techniques that can model space-time dynamics accurately. In this paper we propose NOSTILL-GP - NOn-stationary Space TIme variable Latent Length scale GP, a generic non-stationary, spatio-temporal Gaussian Process (GP) model. We present several strategies, for efficient training of our model, necessary for real-world applicability. Extensive empir","authors_text":"Amarjeet Singh, Fabio Ramos, Sahil Garg","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-04-27T14:45:11Z","title":"Learning Non-Stationary Space-Time Models for Environmental Monitoring"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.10535","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":"sha256:6fbd4b64134e30c18879fc9efab71e19930fde90f604089f29b76c6dcd843c0e","target":"record","created_at":"2026-05-18T00:17:20Z","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":"cef1a2d3becbabb543466667ed7ec6aa7876b568f8b02739bb11249c62cfeb79","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-04-27T14:45:11Z","title_canon_sha256":"b80405d037b59e68a61a06115228d8a0cd87180efea96e4e09c21d0584aeea46"},"schema_version":"1.0","source":{"id":"1804.10535","kind":"arxiv","version":1}},"canonical_sha256":"bc0eaa8d1b8e6a715b3e78ae3c6b4d1037861426002360085d781e250c0b205e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bc0eaa8d1b8e6a715b3e78ae3c6b4d1037861426002360085d781e250c0b205e","first_computed_at":"2026-05-18T00:17:20.483948Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:17:20.483948Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+/tEyW/fvLfpd61tCv28oeO5m7ex17tPAsWuOwQ7gxuhS1FjJKzMNMAvbjnuiA3QDEdCJp0VpSbRm5kxClSwDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:17:20.484431Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.10535","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6fbd4b64134e30c18879fc9efab71e19930fde90f604089f29b76c6dcd843c0e","sha256:b6a81d8015b1a35cc48782ad79c3fee99e4dfc0ee4a9f0f88c51fcdfa6db1e8c"],"state_sha256":"40564f6a72482ca0ac64565b62cc2626c00af48a7828f4ee81c626443f1972e9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YOyzs/g64SXMx6K0yXJdzNntpO6MbVh+tt88m7U1hyJiW+w+B3GLbUGDY+T2Gvb0XQKVcW1N47RIrBa+yyIODA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T14:10:55.688893Z","bundle_sha256":"35a22c6c3033b8891eeff1c5d3e90e207f740406342570b31e2787ef01eec7f4"}}