{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:3QJB47HTQDQBDPX4CGE5SG637W","short_pith_number":"pith:3QJB47HT","schema_version":"1.0","canonical_sha256":"dc121e7cf380e011befc1189d91bdbfd8e25af8c1fbe6bea732edc9966ec1928","source":{"kind":"arxiv","id":"2006.08791","version":2},"attestation_state":"computed","paper":{"title":"Learnability with Indirect Supervision Signals","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Dan Roth, Kaifu Wang, Qiang Ning","submitted_at":"2020-06-15T21:57:11Z","abstract_excerpt":"Learning from indirect supervision signals is important in real-world AI applications when, often, gold labels are missing or too costly. In this paper, we develop a unified theoretical framework for multi-class classification when the supervision is provided by a variable that contains nonzero mutual information with the gold label. The nature of this problem is determined by (i) the transition probability from the gold labels to the indirect supervision variables and (ii) the learner's prior knowledge about the transition. Our framework relaxes assumptions made in the literature, and support"},"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":"2006.08791","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-15T21:57:11Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"e594bcd620114078f3e3f473bda2e66b008151ee7689e60a8c07e57d5d2006bf","abstract_canon_sha256":"1e0a932c159fc20600f220fa2610e1e221cc7fefd850c794de08e47b0d1cd137"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:50:58.546014Z","signature_b64":"uBsiQcDi/q3ebBrN879qZbQKeNrFCi3/Ac08Xg7LhznK91Lu1rxfsbeKMmtTc+Wmo3bq/Lc+p52HWGTSYWgYCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dc121e7cf380e011befc1189d91bdbfd8e25af8c1fbe6bea732edc9966ec1928","last_reissued_at":"2026-07-05T01:50:58.545603Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:50:58.545603Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Learnability with Indirect Supervision Signals","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Dan Roth, Kaifu Wang, Qiang Ning","submitted_at":"2020-06-15T21:57:11Z","abstract_excerpt":"Learning from indirect supervision signals is important in real-world AI applications when, often, gold labels are missing or too costly. In this paper, we develop a unified theoretical framework for multi-class classification when the supervision is provided by a variable that contains nonzero mutual information with the gold label. The nature of this problem is determined by (i) the transition probability from the gold labels to the indirect supervision variables and (ii) the learner's prior knowledge about the transition. Our framework relaxes assumptions made in the literature, and support"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.08791","kind":"arxiv","version":2},"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/2006.08791/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":"2006.08791","created_at":"2026-07-05T01:50:58.545660+00:00"},{"alias_kind":"arxiv_version","alias_value":"2006.08791v2","created_at":"2026-07-05T01:50:58.545660+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.08791","created_at":"2026-07-05T01:50:58.545660+00:00"},{"alias_kind":"pith_short_12","alias_value":"3QJB47HTQDQB","created_at":"2026-07-05T01:50:58.545660+00:00"},{"alias_kind":"pith_short_16","alias_value":"3QJB47HTQDQBDPX4","created_at":"2026-07-05T01:50:58.545660+00:00"},{"alias_kind":"pith_short_8","alias_value":"3QJB47HT","created_at":"2026-07-05T01:50:58.545660+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/3QJB47HTQDQBDPX4CGE5SG637W","json":"https://pith.science/pith/3QJB47HTQDQBDPX4CGE5SG637W.json","graph_json":"https://pith.science/api/pith-number/3QJB47HTQDQBDPX4CGE5SG637W/graph.json","events_json":"https://pith.science/api/pith-number/3QJB47HTQDQBDPX4CGE5SG637W/events.json","paper":"https://pith.science/paper/3QJB47HT"},"agent_actions":{"view_html":"https://pith.science/pith/3QJB47HTQDQBDPX4CGE5SG637W","download_json":"https://pith.science/pith/3QJB47HTQDQBDPX4CGE5SG637W.json","view_paper":"https://pith.science/paper/3QJB47HT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2006.08791&json=true","fetch_graph":"https://pith.science/api/pith-number/3QJB47HTQDQBDPX4CGE5SG637W/graph.json","fetch_events":"https://pith.science/api/pith-number/3QJB47HTQDQBDPX4CGE5SG637W/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3QJB47HTQDQBDPX4CGE5SG637W/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3QJB47HTQDQBDPX4CGE5SG637W/action/storage_attestation","attest_author":"https://pith.science/pith/3QJB47HTQDQBDPX4CGE5SG637W/action/author_attestation","sign_citation":"https://pith.science/pith/3QJB47HTQDQBDPX4CGE5SG637W/action/citation_signature","submit_replication":"https://pith.science/pith/3QJB47HTQDQBDPX4CGE5SG637W/action/replication_record"}},"created_at":"2026-07-05T01:50:58.545660+00:00","updated_at":"2026-07-05T01:50:58.545660+00:00"}