{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PCVQTYK3GJELYXDQRIPYUDYDZ5","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":"10d782a29df87810bcff19d3d742a27ca0f725c2791d55bbdae5aae67d09193d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-09T13:58:00Z","title_canon_sha256":"27ecb808c7ea32917d6fa68c21ecafebc488f0cdda5dce9286c47c835a99313e"},"schema_version":"1.0","source":{"id":"2412.06499","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.06499","created_at":"2026-07-05T09:49:13Z"},{"alias_kind":"arxiv_version","alias_value":"2412.06499v2","created_at":"2026-07-05T09:49:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.06499","created_at":"2026-07-05T09:49:13Z"},{"alias_kind":"pith_short_12","alias_value":"PCVQTYK3GJEL","created_at":"2026-07-05T09:49:13Z"},{"alias_kind":"pith_short_16","alias_value":"PCVQTYK3GJELYXDQ","created_at":"2026-07-05T09:49:13Z"},{"alias_kind":"pith_short_8","alias_value":"PCVQTYK3","created_at":"2026-07-05T09:49:13Z"}],"graph_snapshots":[{"event_id":"sha256:17e9f88bc9ceef9077b8cb2dd8fbcb9f285f9445cdf0af3b973fe3347c2cf4b1","target":"graph","created_at":"2026-07-05T09:49:13Z","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/2412.06499/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Anatomical landmark detection (ALD) from a medical image is crucial for a wide array of clinical applications. While existing methods achieve quite some success in ALD, they often struggle to balance global context with computational efficiency, particularly with high-resolution images, thereby leading to the rise of a natural question: where is the performance limit of ALD? In this paper, we aim to forge performant ALD by proposing a {\\bf HY}brid {\\bf ATT}ention {\\bf Net}work (HYATT-Net) with the following designs: (i) A novel hybrid architecture that integrates CNNs and Transformers. Its cor","authors_text":"Heqin Zhu, Qingsong Yao, S.Kevin Zhou, Xiaoqian Zhou, Zhen Huang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-09T13:58:00Z","title":"HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.06499","kind":"arxiv","version":2},"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":"sha256:34bcd17a6d0f85dcfe5f0e16b0de9f5ed63532e7a66a353e64c5df804c922760","target":"record","created_at":"2026-07-05T09:49:13Z","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":"10d782a29df87810bcff19d3d742a27ca0f725c2791d55bbdae5aae67d09193d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-09T13:58:00Z","title_canon_sha256":"27ecb808c7ea32917d6fa68c21ecafebc488f0cdda5dce9286c47c835a99313e"},"schema_version":"1.0","source":{"id":"2412.06499","kind":"arxiv","version":2}},"canonical_sha256":"78ab09e15b3248bc5c708a1f8a0f03cf7cd7c98e4ba2e5d645f9e824b6745609","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"78ab09e15b3248bc5c708a1f8a0f03cf7cd7c98e4ba2e5d645f9e824b6745609","first_computed_at":"2026-07-05T09:49:13.729769Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:49:13.729769Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IOm6KWYGlTU6PnNg+E0IhM4isp0u50CqD6nYveG87NhGWUb80gNYYF/8W3L699rfxdxHbizOhvvHgk2TyEI3Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:49:13.730245Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.06499","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:34bcd17a6d0f85dcfe5f0e16b0de9f5ed63532e7a66a353e64c5df804c922760","sha256:17e9f88bc9ceef9077b8cb2dd8fbcb9f285f9445cdf0af3b973fe3347c2cf4b1"],"state_sha256":"6bc5879c33bb35e10f23a0471fcc125bfd823beabb2ee0e48355da868989be88"}