{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:XWCINMK7QA4VDJNY4TRJLWUTKY","short_pith_number":"pith:XWCINMK7","schema_version":"1.0","canonical_sha256":"bd8486b15f803951a5b8e4e295da93561853f4a2e86262d617fb64dd4e30b19b","source":{"kind":"arxiv","id":"2606.04888","version":1},"attestation_state":"computed","paper":{"title":"HD-DinoMoE: A Class-Aware Hierarchical Dual Mixture-of-Experts Network for Scleral Anomaly Segmentation in Complex Acquisition Scenarios","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guanghao Liao, Guanghu Liu, Haotian Wang, Maoxiang Chu, Qi Niu, Wei Xu, Yinxiang Yu, Yuelong Fan, Yutian Zhu, Zhi Chen","submitted_at":"2026-06-03T13:48:29Z","abstract_excerpt":"Traditional Chinese Medicine (TCM) ocular inspection provides empirical cues for assessing scleral surface anomalies, but its clinical use remains subjective and difficult to quantify. To support intelligent and quantifiable ocular inspection, this study presents the TCM-inspired Artificial Intelligence Ocular Auxiliary Diagnosis System (TAO) and focuses on pixel-level scleral surface anomaly segmentation. For clinical and user-acquired images affected by multi-source distributional discrepancies, diverse anomaly morphologies, and scleral specular reflection (SSR), we propose HD-DinoMoE, a cla"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.04888","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-03T13:48:29Z","cross_cats_sorted":[],"title_canon_sha256":"8599c4f7ae161d43e656a4f0d45e1a122ae62af4c468456f91ae1cb2a3976ce3","abstract_canon_sha256":"2a39f8b9957d3d2468b8a52be3ef6e74145b113ce49275d239fd77c735e65a3f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-04T01:09:53.625948Z","signature_b64":"SVwncGOow8gslJiolPvb6Pz2IIe8CN8DDJT69nOM7Wu1FHhI7eQMHUwyUwfyfkIe7S062HbbxHyiGS7HGDPkDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bd8486b15f803951a5b8e4e295da93561853f4a2e86262d617fb64dd4e30b19b","last_reissued_at":"2026-06-04T01:09:53.624986Z","signature_status":"signed_v1","first_computed_at":"2026-06-04T01:09:53.624986Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"HD-DinoMoE: A Class-Aware Hierarchical Dual Mixture-of-Experts Network for Scleral Anomaly Segmentation in Complex Acquisition Scenarios","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guanghao Liao, Guanghu Liu, Haotian Wang, Maoxiang Chu, Qi Niu, Wei Xu, Yinxiang Yu, Yuelong Fan, Yutian Zhu, Zhi Chen","submitted_at":"2026-06-03T13:48:29Z","abstract_excerpt":"Traditional Chinese Medicine (TCM) ocular inspection provides empirical cues for assessing scleral surface anomalies, but its clinical use remains subjective and difficult to quantify. To support intelligent and quantifiable ocular inspection, this study presents the TCM-inspired Artificial Intelligence Ocular Auxiliary Diagnosis System (TAO) and focuses on pixel-level scleral surface anomaly segmentation. For clinical and user-acquired images affected by multi-source distributional discrepancies, diverse anomaly morphologies, and scleral specular reflection (SSR), we propose HD-DinoMoE, a cla"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.04888","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.04888/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.04888","created_at":"2026-06-04T01:09:53.625142+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.04888v1","created_at":"2026-06-04T01:09:53.625142+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.04888","created_at":"2026-06-04T01:09:53.625142+00:00"},{"alias_kind":"pith_short_12","alias_value":"XWCINMK7QA4V","created_at":"2026-06-04T01:09:53.625142+00:00"},{"alias_kind":"pith_short_16","alias_value":"XWCINMK7QA4VDJNY","created_at":"2026-06-04T01:09:53.625142+00:00"},{"alias_kind":"pith_short_8","alias_value":"XWCINMK7","created_at":"2026-06-04T01:09:53.625142+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XWCINMK7QA4VDJNY4TRJLWUTKY","json":"https://pith.science/pith/XWCINMK7QA4VDJNY4TRJLWUTKY.json","graph_json":"https://pith.science/api/pith-number/XWCINMK7QA4VDJNY4TRJLWUTKY/graph.json","events_json":"https://pith.science/api/pith-number/XWCINMK7QA4VDJNY4TRJLWUTKY/events.json","paper":"https://pith.science/paper/XWCINMK7"},"agent_actions":{"view_html":"https://pith.science/pith/XWCINMK7QA4VDJNY4TRJLWUTKY","download_json":"https://pith.science/pith/XWCINMK7QA4VDJNY4TRJLWUTKY.json","view_paper":"https://pith.science/paper/XWCINMK7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.04888&json=true","fetch_graph":"https://pith.science/api/pith-number/XWCINMK7QA4VDJNY4TRJLWUTKY/graph.json","fetch_events":"https://pith.science/api/pith-number/XWCINMK7QA4VDJNY4TRJLWUTKY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XWCINMK7QA4VDJNY4TRJLWUTKY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XWCINMK7QA4VDJNY4TRJLWUTKY/action/storage_attestation","attest_author":"https://pith.science/pith/XWCINMK7QA4VDJNY4TRJLWUTKY/action/author_attestation","sign_citation":"https://pith.science/pith/XWCINMK7QA4VDJNY4TRJLWUTKY/action/citation_signature","submit_replication":"https://pith.science/pith/XWCINMK7QA4VDJNY4TRJLWUTKY/action/replication_record"}},"created_at":"2026-06-04T01:09:53.625142+00:00","updated_at":"2026-06-04T01:09:53.625142+00:00"}