{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:WVLP5PST742N7RXS4F6KBT4L6W","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":"d9a5262448e5e98797e0f5b038770241b4586caa705876bb86ee3b0af879102c","cross_cats_sorted":["cs.AI","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-05-12T02:04:40Z","title_canon_sha256":"d8db6a10f20d28551dad0c501a45e13c7c517c255f38c6e92edfefc1b4559ae8"},"schema_version":"1.0","source":{"id":"2005.05519","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.05519","created_at":"2026-07-05T01:02:21Z"},{"alias_kind":"arxiv_version","alias_value":"2005.05519v1","created_at":"2026-07-05T01:02:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.05519","created_at":"2026-07-05T01:02:21Z"},{"alias_kind":"pith_short_12","alias_value":"WVLP5PST742N","created_at":"2026-07-05T01:02:21Z"},{"alias_kind":"pith_short_16","alias_value":"WVLP5PST742N7RXS","created_at":"2026-07-05T01:02:21Z"},{"alias_kind":"pith_short_8","alias_value":"WVLP5PST","created_at":"2026-07-05T01:02:21Z"}],"graph_snapshots":[{"event_id":"sha256:1c7f6498c9bd9c32925bdefa2058cfd0be398c6154a941be538e43dc76ad424e","target":"graph","created_at":"2026-07-05T01:02:21Z","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/2005.05519/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Traditional clustering methods are limited when dealing with huge and heterogeneous groups of gene expression data, which motivates the development of bi-clustering methods. Bi-clustering methods are used to mine bi-clusters whose subsets of samples (genes) are co-regulated under their test conditions. Studies show that mining bi-clusters of consistent trends and trends with similar degrees of fluctuations from the gene expression data is essential in bioinformatics research. Unfortunately, traditional bi-clustering methods are not fully effective in discovering such bi-clusters. Therefore, we","authors_text":"Kaijie Xu, Weike Nie, Witold Pedrycz, Yinghui Quan, Zhiwu Li","cross_cats":["cs.AI","eess.SP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-05-12T02:04:40Z","title":"A Novel Granular-Based Bi-Clustering Method of Deep Mining the Co-Expressed Genes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.05519","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":"sha256:743092403068d8675ff7c34e46a4ee7a31d50d593cf1d88fafc24b4707f528f6","target":"record","created_at":"2026-07-05T01:02:21Z","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":"d9a5262448e5e98797e0f5b038770241b4586caa705876bb86ee3b0af879102c","cross_cats_sorted":["cs.AI","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-05-12T02:04:40Z","title_canon_sha256":"d8db6a10f20d28551dad0c501a45e13c7c517c255f38c6e92edfefc1b4559ae8"},"schema_version":"1.0","source":{"id":"2005.05519","kind":"arxiv","version":1}},"canonical_sha256":"b556febe53ff34dfc6f2e17ca0cf8bf5998beabb893b0ba041f2b514f7b93d99","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b556febe53ff34dfc6f2e17ca0cf8bf5998beabb893b0ba041f2b514f7b93d99","first_computed_at":"2026-07-05T01:02:21.457745Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:02:21.457745Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2c8NaiQ+fSJJidJPg2pMWCwozsC+Tvw/1FrypCKc8X6RuJ8gSkL7pwimkpk5GAxDpJ50su0wzXSiYzZ6lgdMBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:02:21.458177Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.05519","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:743092403068d8675ff7c34e46a4ee7a31d50d593cf1d88fafc24b4707f528f6","sha256:1c7f6498c9bd9c32925bdefa2058cfd0be398c6154a941be538e43dc76ad424e"],"state_sha256":"9b3029075b5e5e559a9979a1350599be75ee9bd47243d7d686618dab6373f790"}