{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DNG2OMPMHG6UQPAAXTONODY6ND","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":"cbb1c7058d6689fbd36b6d2092df909100b06e132fd5805c75bf06ad17d3ddc8","cross_cats_sorted":["cs.AI","cs.CL","cs.DB"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-17T05:46:08Z","title_canon_sha256":"3c5528e6b076785a52ec7f4429885783f4794e034196068c4e8defdc184b2bad"},"schema_version":"1.0","source":{"id":"2507.12805","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.12805","created_at":"2026-07-05T11:38:39Z"},{"alias_kind":"arxiv_version","alias_value":"2507.12805v1","created_at":"2026-07-05T11:38:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.12805","created_at":"2026-07-05T11:38:39Z"},{"alias_kind":"pith_short_12","alias_value":"DNG2OMPMHG6U","created_at":"2026-07-05T11:38:39Z"},{"alias_kind":"pith_short_16","alias_value":"DNG2OMPMHG6UQPAA","created_at":"2026-07-05T11:38:39Z"},{"alias_kind":"pith_short_8","alias_value":"DNG2OMPM","created_at":"2026-07-05T11:38:39Z"}],"graph_snapshots":[{"event_id":"sha256:7d7e0e40ac0785552ba959f1acd163c3f84a920232e2d6e38736ed87f15e0130","target":"graph","created_at":"2026-07-05T11:38:39Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2507.12805/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learning-based lossless compressors play a crucial role in large-scale genomic database backup, storage, transmission, and management. However, their 1) inadequate compression ratio, 2) low compression \\& decompression throughput, and 3) poor compression robustness limit their widespread adoption and application in both industry and academia. To solve those challenges, we propose a novel \\underline{P}arallel \\underline{M}ulti-\\underline{K}nowledge \\underline{L}earning-based \\underline{C}ompressor (PMKLC) with four crucial designs: 1) We propose an automated multi-knowledge learning-based compr","authors_text":"Cheng Zhong, Gang Wang, Huidong Ma, Hui Sun, Liping Yi, Wentong Cai, Xiaoguang Liu, Yanfeng Ding","cross_cats":["cs.AI","cs.CL","cs.DB"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-17T05:46:08Z","title":"PMKLC: Parallel Multi-Knowledge Learning-based Lossless Compression for Large-Scale Genomics Database"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.12805","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":"sha256:6fffffc7923857cf57d7c1d213665c535833bd20c7c76ecf6a157dc681e6d8f8","target":"record","created_at":"2026-07-05T11:38:39Z","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":"cbb1c7058d6689fbd36b6d2092df909100b06e132fd5805c75bf06ad17d3ddc8","cross_cats_sorted":["cs.AI","cs.CL","cs.DB"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-17T05:46:08Z","title_canon_sha256":"3c5528e6b076785a52ec7f4429885783f4794e034196068c4e8defdc184b2bad"},"schema_version":"1.0","source":{"id":"2507.12805","kind":"arxiv","version":1}},"canonical_sha256":"1b4da731ec39bd483c00bcdcd70f1e68e702e332b1dfff8d32a3bf28b4dae1f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1b4da731ec39bd483c00bcdcd70f1e68e702e332b1dfff8d32a3bf28b4dae1f2","first_computed_at":"2026-07-05T11:38:39.610398Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:38:39.610398Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rYvjljWp4mgLoJqXAxmKMDvov0os219Dka+Fc9b447qeS65NOg8WMmGQb5ntWWdZPja138k9RivRonNn408qCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:38:39.610900Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.12805","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6fffffc7923857cf57d7c1d213665c535833bd20c7c76ecf6a157dc681e6d8f8","sha256:7d7e0e40ac0785552ba959f1acd163c3f84a920232e2d6e38736ed87f15e0130"],"state_sha256":"3cc4c9fe89ca3c4cbb0f031abe1dcf74d5a5e1a8f047555049ea7a0d56ba57ea"}