{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:IVMWQLU6KUB4YTU67ISXS72WSU","short_pith_number":"pith:IVMWQLU6","schema_version":"1.0","canonical_sha256":"4559682e9e5503cc4e9efa25797f56950570454aaa7491a8fbc4e52900499098","source":{"kind":"arxiv","id":"2605.29852","version":1},"attestation_state":"computed","paper":{"title":"Parameter-Efficient Subspace Decoupling ViT for Mitigating Multi-Task Negative Transfer in Histological Scoring","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.MM"],"primary_cat":"cs.CV","authors_text":"Chuheng Li, Jiajun Li, Shuai Wang, Yilin Fang, Youhan Huang","submitted_at":"2026-05-28T12:33:14Z","abstract_excerpt":"Histological scoring is essential for diagnosing Non-Alcoholic Fatty Liver Disease (NAFLD), yet its automation remains challenging due to the high annotation cost and negative transfer among the strongly correlated NAFLD Activity Score (NAS) indicators in multi-task learning. To address this issue, we propose a subspace-decoupled multi-task Vision Transformer (ViT) that integrates lightweight task-specific Adapters with orthogonality-based constraints. This design constructs independent feature subspaces for steatosis, ballooning, and inflammation, effectively reducing task interference while "},"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":"2605.29852","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-28T12:33:14Z","cross_cats_sorted":["cs.LG","cs.MM"],"title_canon_sha256":"3875ec4eb601e26670425390e2491a6750707674113379fbead0a0f81213d083","abstract_canon_sha256":"6d87de463b226353f878da4da16b9332fecfbb493ba30410e2b363f785c77cdf"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T02:05:56.081516Z","signature_b64":"KJpohCROsy+JKREetVohVAfN/NSW7FfTg8Me6r0LnDqr+n5axVj9ioqlvZrejugLxibYM/ifMY7jiHiH+YhSCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4559682e9e5503cc4e9efa25797f56950570454aaa7491a8fbc4e52900499098","last_reissued_at":"2026-05-29T02:05:56.080623Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T02:05:56.080623Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Parameter-Efficient Subspace Decoupling ViT for Mitigating Multi-Task Negative Transfer in Histological Scoring","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.MM"],"primary_cat":"cs.CV","authors_text":"Chuheng Li, Jiajun Li, Shuai Wang, Yilin Fang, Youhan Huang","submitted_at":"2026-05-28T12:33:14Z","abstract_excerpt":"Histological scoring is essential for diagnosing Non-Alcoholic Fatty Liver Disease (NAFLD), yet its automation remains challenging due to the high annotation cost and negative transfer among the strongly correlated NAFLD Activity Score (NAS) indicators in multi-task learning. To address this issue, we propose a subspace-decoupled multi-task Vision Transformer (ViT) that integrates lightweight task-specific Adapters with orthogonality-based constraints. This design constructs independent feature subspaces for steatosis, ballooning, and inflammation, effectively reducing task interference while "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.29852","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/2605.29852/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":"2605.29852","created_at":"2026-05-29T02:05:56.080761+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.29852v1","created_at":"2026-05-29T02:05:56.080761+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.29852","created_at":"2026-05-29T02:05:56.080761+00:00"},{"alias_kind":"pith_short_12","alias_value":"IVMWQLU6KUB4","created_at":"2026-05-29T02:05:56.080761+00:00"},{"alias_kind":"pith_short_16","alias_value":"IVMWQLU6KUB4YTU6","created_at":"2026-05-29T02:05:56.080761+00:00"},{"alias_kind":"pith_short_8","alias_value":"IVMWQLU6","created_at":"2026-05-29T02:05:56.080761+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/IVMWQLU6KUB4YTU67ISXS72WSU","json":"https://pith.science/pith/IVMWQLU6KUB4YTU67ISXS72WSU.json","graph_json":"https://pith.science/api/pith-number/IVMWQLU6KUB4YTU67ISXS72WSU/graph.json","events_json":"https://pith.science/api/pith-number/IVMWQLU6KUB4YTU67ISXS72WSU/events.json","paper":"https://pith.science/paper/IVMWQLU6"},"agent_actions":{"view_html":"https://pith.science/pith/IVMWQLU6KUB4YTU67ISXS72WSU","download_json":"https://pith.science/pith/IVMWQLU6KUB4YTU67ISXS72WSU.json","view_paper":"https://pith.science/paper/IVMWQLU6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.29852&json=true","fetch_graph":"https://pith.science/api/pith-number/IVMWQLU6KUB4YTU67ISXS72WSU/graph.json","fetch_events":"https://pith.science/api/pith-number/IVMWQLU6KUB4YTU67ISXS72WSU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IVMWQLU6KUB4YTU67ISXS72WSU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IVMWQLU6KUB4YTU67ISXS72WSU/action/storage_attestation","attest_author":"https://pith.science/pith/IVMWQLU6KUB4YTU67ISXS72WSU/action/author_attestation","sign_citation":"https://pith.science/pith/IVMWQLU6KUB4YTU67ISXS72WSU/action/citation_signature","submit_replication":"https://pith.science/pith/IVMWQLU6KUB4YTU67ISXS72WSU/action/replication_record"}},"created_at":"2026-05-29T02:05:56.080761+00:00","updated_at":"2026-05-29T02:05:56.080761+00:00"}