{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:O4DDK5PSTP4R5FAKK34BLEHCXN","short_pith_number":"pith:O4DDK5PS","schema_version":"1.0","canonical_sha256":"77063575f29bf91e940a56f81590e2bb5113433bfcc0f55aab1311c2a00f0d70","source":{"kind":"arxiv","id":"1605.07919","version":2},"attestation_state":"computed","paper":{"title":"Compression and Conditional Emulation of Climate Model Output","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Dorit Hammerling, Joseph Guinness","submitted_at":"2016-05-25T15:00:10Z","abstract_excerpt":"Numerical climate model simulations run at high spatial and temporal resolutions generate massive quantities of data. As our computing capabilities continue to increase, storing all of the data is not sustainable, and thus it is important to develop methods for representing the full datasets by smaller compressed versions. We propose a statistical compression and decompression algorithm based on storing a set of summary statistics as well as a statistical model describing the conditional distribution of the full dataset given the summary statistics. The statistical model can be used to generat"},"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":"1605.07919","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-05-25T15:00:10Z","cross_cats_sorted":[],"title_canon_sha256":"e1ad92425caa96e54afcdbcba113e0dfca421055e134f637f02b621ccc409f3e","abstract_canon_sha256":"1f0ce5637725f5c793627f2a6a56504bad6b6df07f79e691704fd8cbaf95f8d9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:23:09.461067Z","signature_b64":"pgnyvqmnvtOg8C9i8IhrOKUninIDTem0rtC+gELX/TICUIIqkWJgAWt/V5Rd5jgVh/mS+i+BeDy8aAaHmgaDCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"77063575f29bf91e940a56f81590e2bb5113433bfcc0f55aab1311c2a00f0d70","last_reissued_at":"2026-05-18T00:23:09.460365Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:23:09.460365Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Compression and Conditional Emulation of Climate Model Output","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Dorit Hammerling, Joseph Guinness","submitted_at":"2016-05-25T15:00:10Z","abstract_excerpt":"Numerical climate model simulations run at high spatial and temporal resolutions generate massive quantities of data. As our computing capabilities continue to increase, storing all of the data is not sustainable, and thus it is important to develop methods for representing the full datasets by smaller compressed versions. We propose a statistical compression and decompression algorithm based on storing a set of summary statistics as well as a statistical model describing the conditional distribution of the full dataset given the summary statistics. The statistical model can be used to generat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.07919","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1605.07919","created_at":"2026-05-18T00:23:09.460471+00:00"},{"alias_kind":"arxiv_version","alias_value":"1605.07919v2","created_at":"2026-05-18T00:23:09.460471+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.07919","created_at":"2026-05-18T00:23:09.460471+00:00"},{"alias_kind":"pith_short_12","alias_value":"O4DDK5PSTP4R","created_at":"2026-05-18T12:30:36.002864+00:00"},{"alias_kind":"pith_short_16","alias_value":"O4DDK5PSTP4R5FAK","created_at":"2026-05-18T12:30:36.002864+00:00"},{"alias_kind":"pith_short_8","alias_value":"O4DDK5PS","created_at":"2026-05-18T12:30:36.002864+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/O4DDK5PSTP4R5FAKK34BLEHCXN","json":"https://pith.science/pith/O4DDK5PSTP4R5FAKK34BLEHCXN.json","graph_json":"https://pith.science/api/pith-number/O4DDK5PSTP4R5FAKK34BLEHCXN/graph.json","events_json":"https://pith.science/api/pith-number/O4DDK5PSTP4R5FAKK34BLEHCXN/events.json","paper":"https://pith.science/paper/O4DDK5PS"},"agent_actions":{"view_html":"https://pith.science/pith/O4DDK5PSTP4R5FAKK34BLEHCXN","download_json":"https://pith.science/pith/O4DDK5PSTP4R5FAKK34BLEHCXN.json","view_paper":"https://pith.science/paper/O4DDK5PS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1605.07919&json=true","fetch_graph":"https://pith.science/api/pith-number/O4DDK5PSTP4R5FAKK34BLEHCXN/graph.json","fetch_events":"https://pith.science/api/pith-number/O4DDK5PSTP4R5FAKK34BLEHCXN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/O4DDK5PSTP4R5FAKK34BLEHCXN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/O4DDK5PSTP4R5FAKK34BLEHCXN/action/storage_attestation","attest_author":"https://pith.science/pith/O4DDK5PSTP4R5FAKK34BLEHCXN/action/author_attestation","sign_citation":"https://pith.science/pith/O4DDK5PSTP4R5FAKK34BLEHCXN/action/citation_signature","submit_replication":"https://pith.science/pith/O4DDK5PSTP4R5FAKK34BLEHCXN/action/replication_record"}},"created_at":"2026-05-18T00:23:09.460471+00:00","updated_at":"2026-05-18T00:23:09.460471+00:00"}