{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LTHDBXE5S2ZCRBKF6L3XSWRVQM","short_pith_number":"pith:LTHDBXE5","canonical_record":{"source":{"id":"2503.06517","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-09T08:39:22Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"5a040ebcbec19e8261a76090c80d96c4600f9029b5c5b9d80ed1077bcab736d6","abstract_canon_sha256":"2191d3ff1c9c11f549edf6086e3ef38629eda1df792d677ce6e23c0e78bb4962"},"schema_version":"1.0"},"canonical_sha256":"5cce30dc9d96b2288545f2f7795a358317a5b4b049aace7a7a5f94a66d0de98f","source":{"kind":"arxiv","id":"2503.06517","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LTHDBXE5S2ZCRBKF6L3XSWRVQM","target":"record","payload":{"canonical_record":{"source":{"id":"2503.06517","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-09T08:39:22Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"5a040ebcbec19e8261a76090c80d96c4600f9029b5c5b9d80ed1077bcab736d6","abstract_canon_sha256":"2191d3ff1c9c11f549edf6086e3ef38629eda1df792d677ce6e23c0e78bb4962"},"schema_version":"1.0"},"canonical_sha256":"5cce30dc9d96b2288545f2f7795a358317a5b4b049aace7a7a5f94a66d0de98f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:27:35.862211Z","signature_b64":"pStuiaFTzq8RBH65ULdUy3jW4SdSKzSX/Jg63acqQGMrLGdAXPodBtsBtugSlyn2p2aXpZX+7Q9D0bJC4Bq+BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5cce30dc9d96b2288545f2f7795a358317a5b4b049aace7a7a5f94a66d0de98f","last_reissued_at":"2026-07-05T10:27:35.861719Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:27:35.861719Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.06517","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:27:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OoZC/g3qaSMwlvq5/56dKy/9djbcprSQi4iLOXZZErqfxiDXErM/ONeVOt1OaeGJhguJiFgE3Hd/+i68NowGCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T05:03:24.738175Z"},"content_sha256":"6b5bce56491c25b1c40c314dc10b3f2426c3e44767f2cd872bbb6bddf47d8aac","schema_version":"1.0","event_id":"sha256:6b5bce56491c25b1c40c314dc10b3f2426c3e44767f2cd872bbb6bddf47d8aac"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LTHDBXE5S2ZCRBKF6L3XSWRVQM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Instance-wise Supervision-level Optimization in Active Learning","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Masahiro Nomura, Riku Togashi, Ryoma Bise, Seiichi Uchida, Shinnosuke Matsuo","submitted_at":"2025-03-09T08:39:22Z","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"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.06517","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/2503.06517/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:27:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5SWM+L0l5yoDMLFnOM38AatWq6f9J2BICei5PraVI4NJkRxPR4FLmQxvTf5tGfTlEt4CJ7Mq61R/AzlYjEDZBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T05:03:24.738555Z"},"content_sha256":"3bd1313925df32c277e7d7e40b4625ae206b8463345e97a2547fae7dce5e0abb","schema_version":"1.0","event_id":"sha256:3bd1313925df32c277e7d7e40b4625ae206b8463345e97a2547fae7dce5e0abb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LTHDBXE5S2ZCRBKF6L3XSWRVQM/bundle.json","state_url":"https://pith.science/pith/LTHDBXE5S2ZCRBKF6L3XSWRVQM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LTHDBXE5S2ZCRBKF6L3XSWRVQM/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-18T05:03:24Z","links":{"resolver":"https://pith.science/pith/LTHDBXE5S2ZCRBKF6L3XSWRVQM","bundle":"https://pith.science/pith/LTHDBXE5S2ZCRBKF6L3XSWRVQM/bundle.json","state":"https://pith.science/pith/LTHDBXE5S2ZCRBKF6L3XSWRVQM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LTHDBXE5S2ZCRBKF6L3XSWRVQM/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8Qlx5JaD4fz2A9/iATegtgBH8U5EKfclBxp+iyl+AwQFQrjLWV7rSxSUtW6MkiIzMZrr//djQoKN+bef/ZTfDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-18T05:03:24.740684Z","bundle_sha256":"6d61124300fd41869c6bc55adf77cc9498d18d89a1c6eaa5f99db4c9440192d3"}}