{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:YV7H4OX4WUSII4VVKUOD6IKAGI","short_pith_number":"pith:YV7H4OX4","schema_version":"1.0","canonical_sha256":"c57e7e3afcb5248472b5551c3f21403220d12c6e5d0d0390e42134426d126928","source":{"kind":"arxiv","id":"1802.06924","version":1},"attestation_state":"computed","paper":{"title":"Teaching Categories to Human Learners with Visual Explanations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.CV","authors_text":"Oisin Mac Aodha, Pietro Perona, Shihan Su, Yisong Yue, Yuxin Chen","submitted_at":"2018-02-20T00:49:38Z","abstract_excerpt":"We study the problem of computer-assisted teaching with explanations. Conventional approaches for machine teaching typically only provide feedback at the instance level e.g., the category or label of the instance. However, it is intuitive that clear explanations from a knowledgeable teacher can significantly improve a student's ability to learn a new concept. To address these existing limitations, we propose a teaching framework that provides interpretable explanations as feedback and models how the learner incorporates this additional information. In the case of images, we show that we can au"},"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":"1802.06924","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-02-20T00:49:38Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"6a66da58ae6e06e220daaf377d29d2c9a5afaea0698b45effb8dec37b813dd6b","abstract_canon_sha256":"e96c1df63f5d9c32ff731690d32457d14ac0c294467239dc912257c98eb373d8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:22:53.985744Z","signature_b64":"UdtP7hRFNxmn/rcMw9gA7sxMFeEbMfiujfCRsHh5LAuTNUMfHOyZxV9Wu8/jeYJHMrT1Yc3cUbjHvlr/XD3DAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c57e7e3afcb5248472b5551c3f21403220d12c6e5d0d0390e42134426d126928","last_reissued_at":"2026-05-18T00:22:53.985166Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:22:53.985166Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Teaching Categories to Human Learners with Visual Explanations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.CV","authors_text":"Oisin Mac Aodha, Pietro Perona, Shihan Su, Yisong Yue, Yuxin Chen","submitted_at":"2018-02-20T00:49:38Z","abstract_excerpt":"We study the problem of computer-assisted teaching with explanations. Conventional approaches for machine teaching typically only provide feedback at the instance level e.g., the category or label of the instance. However, it is intuitive that clear explanations from a knowledgeable teacher can significantly improve a student's ability to learn a new concept. To address these existing limitations, we propose a teaching framework that provides interpretable explanations as feedback and models how the learner incorporates this additional information. In the case of images, we show that we can au"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.06924","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":""},"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":"1802.06924","created_at":"2026-05-18T00:22:53.985252+00:00"},{"alias_kind":"arxiv_version","alias_value":"1802.06924v1","created_at":"2026-05-18T00:22:53.985252+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.06924","created_at":"2026-05-18T00:22:53.985252+00:00"},{"alias_kind":"pith_short_12","alias_value":"YV7H4OX4WUSI","created_at":"2026-05-18T12:33:04.347982+00:00"},{"alias_kind":"pith_short_16","alias_value":"YV7H4OX4WUSII4VV","created_at":"2026-05-18T12:33:04.347982+00:00"},{"alias_kind":"pith_short_8","alias_value":"YV7H4OX4","created_at":"2026-05-18T12:33:04.347982+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/YV7H4OX4WUSII4VVKUOD6IKAGI","json":"https://pith.science/pith/YV7H4OX4WUSII4VVKUOD6IKAGI.json","graph_json":"https://pith.science/api/pith-number/YV7H4OX4WUSII4VVKUOD6IKAGI/graph.json","events_json":"https://pith.science/api/pith-number/YV7H4OX4WUSII4VVKUOD6IKAGI/events.json","paper":"https://pith.science/paper/YV7H4OX4"},"agent_actions":{"view_html":"https://pith.science/pith/YV7H4OX4WUSII4VVKUOD6IKAGI","download_json":"https://pith.science/pith/YV7H4OX4WUSII4VVKUOD6IKAGI.json","view_paper":"https://pith.science/paper/YV7H4OX4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1802.06924&json=true","fetch_graph":"https://pith.science/api/pith-number/YV7H4OX4WUSII4VVKUOD6IKAGI/graph.json","fetch_events":"https://pith.science/api/pith-number/YV7H4OX4WUSII4VVKUOD6IKAGI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YV7H4OX4WUSII4VVKUOD6IKAGI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YV7H4OX4WUSII4VVKUOD6IKAGI/action/storage_attestation","attest_author":"https://pith.science/pith/YV7H4OX4WUSII4VVKUOD6IKAGI/action/author_attestation","sign_citation":"https://pith.science/pith/YV7H4OX4WUSII4VVKUOD6IKAGI/action/citation_signature","submit_replication":"https://pith.science/pith/YV7H4OX4WUSII4VVKUOD6IKAGI/action/replication_record"}},"created_at":"2026-05-18T00:22:53.985252+00:00","updated_at":"2026-05-18T00:22:53.985252+00:00"}