{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BZFKIVAENARPN4KJHNBRFISIA4","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":"900380dafabbf68ce81981a61e120b22709cce6f1c1f68f5ff256a74ff5e9529","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-13T03:04:02Z","title_canon_sha256":"a92061721f1c25c8eed21c3ddf384c246c780935edf58a7b1b8534881cc326cf"},"schema_version":"1.0","source":{"id":"2503.10713","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.10713","created_at":"2026-07-05T10:31:04Z"},{"alias_kind":"arxiv_version","alias_value":"2503.10713v1","created_at":"2026-07-05T10:31:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.10713","created_at":"2026-07-05T10:31:04Z"},{"alias_kind":"pith_short_12","alias_value":"BZFKIVAENARP","created_at":"2026-07-05T10:31:04Z"},{"alias_kind":"pith_short_16","alias_value":"BZFKIVAENARPN4KJ","created_at":"2026-07-05T10:31:04Z"},{"alias_kind":"pith_short_8","alias_value":"BZFKIVAE","created_at":"2026-07-05T10:31:04Z"}],"graph_snapshots":[{"event_id":"sha256:00b799f75cf7e8154041e2fb3abefee45ddfa961106dd701f448ca40c448aee7","target":"graph","created_at":"2026-07-05T10:31:04Z","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/2503.10713/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Hi-C technology measures genome-wide interaction frequencies, providing a powerful tool for studying the 3D genomic structure within the nucleus. However, high sequencing costs and technical challenges often result in Hi-C data with limited coverage, leading to imprecise estimates of chromatin interaction frequencies. To address this issue, we present a novel deep learning-based method HiCMamba to enhance the resolution of Hi-C contact maps using a state space model. We adopt the UNet-based auto-encoder architecture to stack the proposed holistic scan block, enabling the perception of both glo","authors_text":"Hui Xiong, Minghao Yang, Pengfei Zhang, Shaojun Tang, Shichen Zhang, Yuqiao Liu, Zhi-An Huang, Zhihang Zheng","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-13T03:04:02Z","title":"HiCMamba: Enhancing Hi-C Resolution and Identifying 3D Genome Structures with State Space Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.10713","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":"sha256:7940e08f367f84dea154d16c01765a19a60a0bc283c94c3d2faaf2938b582cbd","target":"record","created_at":"2026-07-05T10:31:04Z","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":"900380dafabbf68ce81981a61e120b22709cce6f1c1f68f5ff256a74ff5e9529","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-13T03:04:02Z","title_canon_sha256":"a92061721f1c25c8eed21c3ddf384c246c780935edf58a7b1b8534881cc326cf"},"schema_version":"1.0","source":{"id":"2503.10713","kind":"arxiv","version":1}},"canonical_sha256":"0e4aa454046822f6f1493b4312a24807254454cbf59cd8de2e6ecac5dd9b4823","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0e4aa454046822f6f1493b4312a24807254454cbf59cd8de2e6ecac5dd9b4823","first_computed_at":"2026-07-05T10:31:04.196891Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:31:04.196891Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MxEHDnhT8NkFQTqfl/1iPxvJax3iRg7syCIDb5rd2tqZ7GKFkv/9M486wcTgZ+VgKx3fliAIjZAw/k8SERPwDA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:31:04.197399Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.10713","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7940e08f367f84dea154d16c01765a19a60a0bc283c94c3d2faaf2938b582cbd","sha256:00b799f75cf7e8154041e2fb3abefee45ddfa961106dd701f448ca40c448aee7"],"state_sha256":"17108dc89b9a9bc7f179d37be3a0cf7b640aca54224ee731daf3800367c52b33"}