{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OLNILE2GQCO5OGLIWHBWQDUVI7","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":"a00c2ad3c06a4fec8cacd9e0979c8c308cbdc7c02f6cb9dfaff82b01fdbbd202","cross_cats_sorted":["cs.AI","q-bio.GN"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-14T03:49:12Z","title_canon_sha256":"fd2199362584e541feae62b2b44740d339a37aa7d5d19df21b7a09d8502dd5f0"},"schema_version":"1.0","source":{"id":"2507.09890","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.09890","created_at":"2026-07-05T11:36:41Z"},{"alias_kind":"arxiv_version","alias_value":"2507.09890v1","created_at":"2026-07-05T11:36:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.09890","created_at":"2026-07-05T11:36:41Z"},{"alias_kind":"pith_short_12","alias_value":"OLNILE2GQCO5","created_at":"2026-07-05T11:36:41Z"},{"alias_kind":"pith_short_16","alias_value":"OLNILE2GQCO5OGLI","created_at":"2026-07-05T11:36:41Z"},{"alias_kind":"pith_short_8","alias_value":"OLNILE2G","created_at":"2026-07-05T11:36:41Z"}],"graph_snapshots":[{"event_id":"sha256:0a823956873e6f08e1a2b7cf14d05e88a905f12a6df413f61680b59792cfce3f","target":"graph","created_at":"2026-07-05T11:36:41Z","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/2507.09890/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Clustering analysis is fundamental in single-cell RNA sequencing (scRNA-seq) data analysis for elucidating cellular heterogeneity and diversity. Recent graph-based scRNA-seq clustering methods, particularly graph neural networks (GNNs), have significantly improved in tackling the challenges of high-dimension, high-sparsity, and frequent dropout events that lead to ambiguous cell population boundaries. However, their reliance on hard graph constructions derived from thresholded similarity matrices presents challenges:(i) The simplification of intercellular relationships into binary edges (0 or ","authors_text":"Meng Xiao, Min Wu, Pengfei Wang, Ping Xu, Yuanchun Zhou, Zhiyuan Ning","cross_cats":["cs.AI","q-bio.GN"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-14T03:49:12Z","title":"Soft Graph Clustering for single-cell RNA Sequencing Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.09890","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:cd37802c323db9cd1f7fae7f9b0a5bef97f21c111a5fc6fb0ff009fc7282331f","target":"record","created_at":"2026-07-05T11:36:41Z","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":"a00c2ad3c06a4fec8cacd9e0979c8c308cbdc7c02f6cb9dfaff82b01fdbbd202","cross_cats_sorted":["cs.AI","q-bio.GN"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-14T03:49:12Z","title_canon_sha256":"fd2199362584e541feae62b2b44740d339a37aa7d5d19df21b7a09d8502dd5f0"},"schema_version":"1.0","source":{"id":"2507.09890","kind":"arxiv","version":1}},"canonical_sha256":"72da859346809dd71968b1c3680e9547c4c874cda70a3cf815ddc640eac2a165","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"72da859346809dd71968b1c3680e9547c4c874cda70a3cf815ddc640eac2a165","first_computed_at":"2026-07-05T11:36:41.731484Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:36:41.731484Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jCQFmsgyImdJV00wapFFLSdAqfpg0kKvXqNUBJVsxSr/Nrlt+pR8AXhOqsu1ypul0fCT9CPryFVw9FPr0W0fBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:36:41.732023Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.09890","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cd37802c323db9cd1f7fae7f9b0a5bef97f21c111a5fc6fb0ff009fc7282331f","sha256:0a823956873e6f08e1a2b7cf14d05e88a905f12a6df413f61680b59792cfce3f"],"state_sha256":"0515c677503869f030520b9a5ff7a74d2e6000cf18216a4b2779d5b62e402567"}