{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:DLCDX3M4MWUDVJYYVUZ32U2KZD","short_pith_number":"pith:DLCDX3M4","schema_version":"1.0","canonical_sha256":"1ac43bed9c65a83aa718ad33bd534ac8e39d24665820f90704c2cf0b49755e37","source":{"kind":"arxiv","id":"2404.02826","version":2},"attestation_state":"computed","paper":{"title":"An Error-Bounded Lossy Compression Method with Bit-Adaptive Quantization for Particle Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM","cs.GR","math.IT"],"primary_cat":"cs.IT","authors_text":"Congrong Ren, Hanqi Guo, Kai Zhao, Longtao Zhang, Sheng Di","submitted_at":"2024-04-03T15:59:31Z","abstract_excerpt":"This paper presents error-bounded lossy compression tailored for particle datasets from diverse scientific applications in cosmology, fluid dynamics, and fusion energy sciences. As today's high-performance computing capabilities advance, these datasets often reach trillions of points, posing significant visualization, analysis, and storage challenges. While error-bounded lossy compression makes it possible to represent floating-point values with strict pointwise accuracy guarantees, the lack of correlations in particle data's storage ordering often limits the compression ratio. Inspired by qua"},"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":"2404.02826","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-04-03T15:59:31Z","cross_cats_sorted":["astro-ph.IM","cs.GR","math.IT"],"title_canon_sha256":"f22b07c822e87e950b0c63406e000f45a4da63cc35c38e045abd383bcb00e58a","abstract_canon_sha256":"58eb8c62cabafdd448b1b09dda527e9e5c449d6905315442d3e925682171bd43"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:04:20.249295Z","signature_b64":"uBKTJT0XrjLuHcEGDqDshikroyTZVxjtCHAjQdn6Lpf1rZxbUOIevL+eSRSINX6yO6hqnoMv8PnAwsfuY9oUDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1ac43bed9c65a83aa718ad33bd534ac8e39d24665820f90704c2cf0b49755e37","last_reissued_at":"2026-07-05T08:04:20.248829Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:04:20.248829Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An Error-Bounded Lossy Compression Method with Bit-Adaptive Quantization for Particle Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM","cs.GR","math.IT"],"primary_cat":"cs.IT","authors_text":"Congrong Ren, Hanqi Guo, Kai Zhao, Longtao Zhang, Sheng Di","submitted_at":"2024-04-03T15:59:31Z","abstract_excerpt":"This paper presents error-bounded lossy compression tailored for particle datasets from diverse scientific applications in cosmology, fluid dynamics, and fusion energy sciences. As today's high-performance computing capabilities advance, these datasets often reach trillions of points, posing significant visualization, analysis, and storage challenges. While error-bounded lossy compression makes it possible to represent floating-point values with strict pointwise accuracy guarantees, the lack of correlations in particle data's storage ordering often limits the compression ratio. Inspired by qua"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.02826","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2404.02826/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2404.02826","created_at":"2026-07-05T08:04:20.248892+00:00"},{"alias_kind":"arxiv_version","alias_value":"2404.02826v2","created_at":"2026-07-05T08:04:20.248892+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.02826","created_at":"2026-07-05T08:04:20.248892+00:00"},{"alias_kind":"pith_short_12","alias_value":"DLCDX3M4MWUD","created_at":"2026-07-05T08:04:20.248892+00:00"},{"alias_kind":"pith_short_16","alias_value":"DLCDX3M4MWUDVJYY","created_at":"2026-07-05T08:04:20.248892+00:00"},{"alias_kind":"pith_short_8","alias_value":"DLCDX3M4","created_at":"2026-07-05T08:04:20.248892+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/DLCDX3M4MWUDVJYYVUZ32U2KZD","json":"https://pith.science/pith/DLCDX3M4MWUDVJYYVUZ32U2KZD.json","graph_json":"https://pith.science/api/pith-number/DLCDX3M4MWUDVJYYVUZ32U2KZD/graph.json","events_json":"https://pith.science/api/pith-number/DLCDX3M4MWUDVJYYVUZ32U2KZD/events.json","paper":"https://pith.science/paper/DLCDX3M4"},"agent_actions":{"view_html":"https://pith.science/pith/DLCDX3M4MWUDVJYYVUZ32U2KZD","download_json":"https://pith.science/pith/DLCDX3M4MWUDVJYYVUZ32U2KZD.json","view_paper":"https://pith.science/paper/DLCDX3M4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2404.02826&json=true","fetch_graph":"https://pith.science/api/pith-number/DLCDX3M4MWUDVJYYVUZ32U2KZD/graph.json","fetch_events":"https://pith.science/api/pith-number/DLCDX3M4MWUDVJYYVUZ32U2KZD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DLCDX3M4MWUDVJYYVUZ32U2KZD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DLCDX3M4MWUDVJYYVUZ32U2KZD/action/storage_attestation","attest_author":"https://pith.science/pith/DLCDX3M4MWUDVJYYVUZ32U2KZD/action/author_attestation","sign_citation":"https://pith.science/pith/DLCDX3M4MWUDVJYYVUZ32U2KZD/action/citation_signature","submit_replication":"https://pith.science/pith/DLCDX3M4MWUDVJYYVUZ32U2KZD/action/replication_record"}},"created_at":"2026-07-05T08:04:20.248892+00:00","updated_at":"2026-07-05T08:04:20.248892+00:00"}