{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WS4Z5CO7GK4NOLMBZJ3CZTCV6C","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":"7c26660c8fb59e7e9fed9a7b965c54207eac246419f96fc480675c35cff23065","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-27T23:53:27Z","title_canon_sha256":"9edc5ed35178bced4cc2bccfa3565c5bf378506be5ae6051cc64a827b16c6e46"},"schema_version":"1.0","source":{"id":"2411.18823","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.18823","created_at":"2026-07-05T11:45:54Z"},{"alias_kind":"arxiv_version","alias_value":"2411.18823v2","created_at":"2026-07-05T11:45:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.18823","created_at":"2026-07-05T11:45:54Z"},{"alias_kind":"pith_short_12","alias_value":"WS4Z5CO7GK4N","created_at":"2026-07-05T11:45:54Z"},{"alias_kind":"pith_short_16","alias_value":"WS4Z5CO7GK4NOLMB","created_at":"2026-07-05T11:45:54Z"},{"alias_kind":"pith_short_8","alias_value":"WS4Z5CO7","created_at":"2026-07-05T11:45:54Z"}],"graph_snapshots":[{"event_id":"sha256:29669ac3f217cdeadc5b1c7b610a581d066f08be019d17eae0f5af11671c2276","target":"graph","created_at":"2026-07-05T11:45:54Z","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/2411.18823/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, simultaneous learning of multiple dense prediction tasks with partially annotated label data has emerged as an important research area. Previous works primarily focus on leveraging cross-task relations or conducting adversarial training for extra regularization, which achieve promising performance improvements, while still suffering from the lack of direct pixel-wise supervision and extra training of heavy mapping networks. To effectively tackle this challenge, we propose a novel approach to optimize a set of compact learnable hierarchical task tokens, including global and fin","authors_text":"Dan Xu, Hanrong Ye, Jingdong Zhang, Wenping Wang, Xin Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-27T23:53:27Z","title":"Multi-Task Label Discovery via Hierarchical Task Tokens for Partially Annotated Dense Predictions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.18823","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:fb5627a23668bf6d7e8d1001ddd102fc06847168a36014cdc91402524bf12def","target":"record","created_at":"2026-07-05T11:45:54Z","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":"7c26660c8fb59e7e9fed9a7b965c54207eac246419f96fc480675c35cff23065","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-27T23:53:27Z","title_canon_sha256":"9edc5ed35178bced4cc2bccfa3565c5bf378506be5ae6051cc64a827b16c6e46"},"schema_version":"1.0","source":{"id":"2411.18823","kind":"arxiv","version":2}},"canonical_sha256":"b4b99e89df32b8d72d81ca762ccc55f0bdf8da2587f304b89ff8ebccbc286444","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b4b99e89df32b8d72d81ca762ccc55f0bdf8da2587f304b89ff8ebccbc286444","first_computed_at":"2026-07-05T11:45:54.568657Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:45:54.568657Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Iw+U9z1+zroEd/gn57yIN2FCVWrv1Vf+8kiNnSUV2L+q5RjaJPKgtVCRr825LxnvJ8MQo1Wrvvxhy/b3cj5UBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:45:54.569177Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.18823","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fb5627a23668bf6d7e8d1001ddd102fc06847168a36014cdc91402524bf12def","sha256:29669ac3f217cdeadc5b1c7b610a581d066f08be019d17eae0f5af11671c2276"],"state_sha256":"9fa3d84e656a1d55366de7b16528c60964723428531e4f32ae4c300b0e7e18cf"}