{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:IHJ27YZHRLHXWYZIGHYUATJYVJ","short_pith_number":"pith:IHJ27YZH","schema_version":"1.0","canonical_sha256":"41d3afe3278acf7b632831f1404d38aa5dbbfc353b630bd43f3d2fe1c3c8e93a","source":{"kind":"arxiv","id":"2307.09609","version":1},"attestation_state":"computed","paper":{"title":"AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Bo Fang, Daoce Wang, Dingwen Tao, Franck Cappello, Houjun Tang, James Ahrens, Jean Sexton, Jesus Pulido, Jiannan Tian, Kai Zhao, Pascal Grosset, Sheng Di, Sian Jin, Zarija Luki\\'c","submitted_at":"2023-07-13T16:47:58Z","abstract_excerpt":"As supercomputers advance towards exascale capabilities, computational intensity increases significantly, and the volume of data requiring storage and transmission experiences exponential growth. Adaptive Mesh Refinement (AMR) has emerged as an effective solution to address these two challenges. Concurrently, error-bounded lossy compression is recognized as one of the most efficient approaches to tackle the latter issue. Despite their respective advantages, few attempts have been made to investigate how AMR and error-bounded lossy compression can function together. To this end, this study pres"},"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":"2307.09609","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2023-07-13T16:47:58Z","cross_cats_sorted":[],"title_canon_sha256":"5b0e73ae8fb13a5488dfe0b90ad2c67fd57873fa795751b63df3544bfaff9b6e","abstract_canon_sha256":"daae2e44f418c3cb4cb04cd6f4b401d8d6757446d92fff22ecd1259b3575d340"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:32:43.498061Z","signature_b64":"+thiCMtf0zBzqwvRwMGFO4iba8e1xUvn42RxqlTemFeXHNJDGRdHj/5fbp3oQ7Khc5kPVDUiyiiy0St24yGWCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"41d3afe3278acf7b632831f1404d38aa5dbbfc353b630bd43f3d2fe1c3c8e93a","last_reissued_at":"2026-07-05T06:32:43.497604Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:32:43.497604Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Bo Fang, Daoce Wang, Dingwen Tao, Franck Cappello, Houjun Tang, James Ahrens, Jean Sexton, Jesus Pulido, Jiannan Tian, Kai Zhao, Pascal Grosset, Sheng Di, Sian Jin, Zarija Luki\\'c","submitted_at":"2023-07-13T16:47:58Z","abstract_excerpt":"As supercomputers advance towards exascale capabilities, computational intensity increases significantly, and the volume of data requiring storage and transmission experiences exponential growth. Adaptive Mesh Refinement (AMR) has emerged as an effective solution to address these two challenges. Concurrently, error-bounded lossy compression is recognized as one of the most efficient approaches to tackle the latter issue. Despite their respective advantages, few attempts have been made to investigate how AMR and error-bounded lossy compression can function together. To this end, this study pres"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.09609","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2307.09609/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":"2307.09609","created_at":"2026-07-05T06:32:43.497667+00:00"},{"alias_kind":"arxiv_version","alias_value":"2307.09609v1","created_at":"2026-07-05T06:32:43.497667+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.09609","created_at":"2026-07-05T06:32:43.497667+00:00"},{"alias_kind":"pith_short_12","alias_value":"IHJ27YZHRLHX","created_at":"2026-07-05T06:32:43.497667+00:00"},{"alias_kind":"pith_short_16","alias_value":"IHJ27YZHRLHXWYZI","created_at":"2026-07-05T06:32:43.497667+00:00"},{"alias_kind":"pith_short_8","alias_value":"IHJ27YZH","created_at":"2026-07-05T06:32:43.497667+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/IHJ27YZHRLHXWYZIGHYUATJYVJ","json":"https://pith.science/pith/IHJ27YZHRLHXWYZIGHYUATJYVJ.json","graph_json":"https://pith.science/api/pith-number/IHJ27YZHRLHXWYZIGHYUATJYVJ/graph.json","events_json":"https://pith.science/api/pith-number/IHJ27YZHRLHXWYZIGHYUATJYVJ/events.json","paper":"https://pith.science/paper/IHJ27YZH"},"agent_actions":{"view_html":"https://pith.science/pith/IHJ27YZHRLHXWYZIGHYUATJYVJ","download_json":"https://pith.science/pith/IHJ27YZHRLHXWYZIGHYUATJYVJ.json","view_paper":"https://pith.science/paper/IHJ27YZH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2307.09609&json=true","fetch_graph":"https://pith.science/api/pith-number/IHJ27YZHRLHXWYZIGHYUATJYVJ/graph.json","fetch_events":"https://pith.science/api/pith-number/IHJ27YZHRLHXWYZIGHYUATJYVJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IHJ27YZHRLHXWYZIGHYUATJYVJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IHJ27YZHRLHXWYZIGHYUATJYVJ/action/storage_attestation","attest_author":"https://pith.science/pith/IHJ27YZHRLHXWYZIGHYUATJYVJ/action/author_attestation","sign_citation":"https://pith.science/pith/IHJ27YZHRLHXWYZIGHYUATJYVJ/action/citation_signature","submit_replication":"https://pith.science/pith/IHJ27YZHRLHXWYZIGHYUATJYVJ/action/replication_record"}},"created_at":"2026-07-05T06:32:43.497667+00:00","updated_at":"2026-07-05T06:32:43.497667+00:00"}