{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5IQUK5MFFLBZ3SMYFZKHEGH4KG","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":"3e6b4ad1c95808e9593f67fb938f80cfd1dc31346539dca1aba1160ed0c54360","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.GN","submitted_at":"2024-03-16T09:06:38Z","title_canon_sha256":"44ec784481d41b9ea03bfae7ef0823e321309174db4a8322966065497c08f5c7"},"schema_version":"1.0","source":{"id":"2403.10863","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.10863","created_at":"2026-07-05T07:57:08Z"},{"alias_kind":"arxiv_version","alias_value":"2403.10863v1","created_at":"2026-07-05T07:57:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.10863","created_at":"2026-07-05T07:57:08Z"},{"alias_kind":"pith_short_12","alias_value":"5IQUK5MFFLBZ","created_at":"2026-07-05T07:57:08Z"},{"alias_kind":"pith_short_16","alias_value":"5IQUK5MFFLBZ3SMY","created_at":"2026-07-05T07:57:08Z"},{"alias_kind":"pith_short_8","alias_value":"5IQUK5MF","created_at":"2026-07-05T07:57:08Z"}],"graph_snapshots":[{"event_id":"sha256:86e0562df76c9ed7c708e16d0f06a78f2dc6bae563a9f159d3ba90d254fd5301","target":"graph","created_at":"2026-07-05T07:57:08Z","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/2403.10863/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Spatially resolved transcriptomics represents a significant advancement in single-cell analysis by offering both gene expression data and their corresponding physical locations. However, this high degree of spatial resolution entails a drawback, as the resulting spatial transcriptomic data at the cellular level is notably plagued by a high incidence of missing values. Furthermore, most existing imputation methods either overlook the spatial information between spots or compromise the overall gene expression data distribution. To address these challenges, our primary focus is on effectively uti","authors_text":"Changmiao Wang, Shunfang Wang, Taosheng Xu, Wenwen Min, Xiaoyu Li","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.GN","submitted_at":"2024-03-16T09:06:38Z","title":"stMCDI: Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.10863","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":"sha256:3cec83d66a69718a5c9408a18d4f1dc9e3ea8d4dc102e093f5aa5de0abf89d74","target":"record","created_at":"2026-07-05T07:57:08Z","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":"3e6b4ad1c95808e9593f67fb938f80cfd1dc31346539dca1aba1160ed0c54360","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.GN","submitted_at":"2024-03-16T09:06:38Z","title_canon_sha256":"44ec784481d41b9ea03bfae7ef0823e321309174db4a8322966065497c08f5c7"},"schema_version":"1.0","source":{"id":"2403.10863","kind":"arxiv","version":1}},"canonical_sha256":"ea214575852ac39dc9982e547218fc518a636ca8c27bdeea317df935ffc52d1a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ea214575852ac39dc9982e547218fc518a636ca8c27bdeea317df935ffc52d1a","first_computed_at":"2026-07-05T07:57:08.241906Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:57:08.241906Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LktTYRyDjOiW7NkzZvjqoPYJxAJwiXua+DHCygikyhwUxAtiLj6qz+2g6cQ+EbE3aBsh7wQrU6m7OYws/fLzDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:57:08.242301Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.10863","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3cec83d66a69718a5c9408a18d4f1dc9e3ea8d4dc102e093f5aa5de0abf89d74","sha256:86e0562df76c9ed7c708e16d0f06a78f2dc6bae563a9f159d3ba90d254fd5301"],"state_sha256":"e58017c8520a7ddca6b78c34cd3d2a91b9dc7ff0d001ce420ba1e288ff508193"}