{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LTHDBXE5S2ZCRBKF6L3XSWRVQM","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":"2191d3ff1c9c11f549edf6086e3ef38629eda1df792d677ce6e23c0e78bb4962","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-09T08:39:22Z","title_canon_sha256":"5a040ebcbec19e8261a76090c80d96c4600f9029b5c5b9d80ed1077bcab736d6"},"schema_version":"1.0","source":{"id":"2503.06517","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.06517","created_at":"2026-07-05T10:27:35Z"},{"alias_kind":"arxiv_version","alias_value":"2503.06517v1","created_at":"2026-07-05T10:27:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.06517","created_at":"2026-07-05T10:27:35Z"},{"alias_kind":"pith_short_12","alias_value":"LTHDBXE5S2ZC","created_at":"2026-07-05T10:27:35Z"},{"alias_kind":"pith_short_16","alias_value":"LTHDBXE5S2ZCRBKF","created_at":"2026-07-05T10:27:35Z"},{"alias_kind":"pith_short_8","alias_value":"LTHDBXE5","created_at":"2026-07-05T10:27:35Z"}],"graph_snapshots":[{"event_id":"sha256:3bd1313925df32c277e7d7e40b4625ae206b8463345e97a2547fae7dce5e0abb","target":"graph","created_at":"2026-07-05T10:27:35Z","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/2503.06517/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Active learning (AL) is a label-efficient machine learning paradigm that focuses on selectively annotating high-value instances to maximize learning efficiency. Its effectiveness can be further enhanced by incorporating weak supervision, which uses rough yet cost-effective annotations instead of exact (i.e., full) but expensive annotations. We introduce a novel AL framework, Instance-wise Supervision-Level Optimization (ISO), which not only selects the instances to annotate but also determines their optimal annotation level within a fixed annotation budget. Its optimization criterion leverages","authors_text":"Masahiro Nomura, Riku Togashi, Ryoma Bise, Seiichi Uchida, Shinnosuke Matsuo","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-09T08:39:22Z","title":"Instance-wise Supervision-level Optimization in Active Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.06517","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":"sha256:6b5bce56491c25b1c40c314dc10b3f2426c3e44767f2cd872bbb6bddf47d8aac","target":"record","created_at":"2026-07-05T10:27:35Z","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":"2191d3ff1c9c11f549edf6086e3ef38629eda1df792d677ce6e23c0e78bb4962","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-09T08:39:22Z","title_canon_sha256":"5a040ebcbec19e8261a76090c80d96c4600f9029b5c5b9d80ed1077bcab736d6"},"schema_version":"1.0","source":{"id":"2503.06517","kind":"arxiv","version":1}},"canonical_sha256":"5cce30dc9d96b2288545f2f7795a358317a5b4b049aace7a7a5f94a66d0de98f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5cce30dc9d96b2288545f2f7795a358317a5b4b049aace7a7a5f94a66d0de98f","first_computed_at":"2026-07-05T10:27:35.861719Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:27:35.861719Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pStuiaFTzq8RBH65ULdUy3jW4SdSKzSX/Jg63acqQGMrLGdAXPodBtsBtugSlyn2p2aXpZX+7Q9D0bJC4Bq+BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:27:35.862211Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.06517","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b5bce56491c25b1c40c314dc10b3f2426c3e44767f2cd872bbb6bddf47d8aac","sha256:3bd1313925df32c277e7d7e40b4625ae206b8463345e97a2547fae7dce5e0abb"],"state_sha256":"971cab39e6392cd43f3822ea5e1a7464580dab7501d727fa9ac35400fe551627"}