{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:V5Y4LMTMSO4N62EMF35QRUOFPU","short_pith_number":"pith:V5Y4LMTM","schema_version":"1.0","canonical_sha256":"af71c5b26c93b8df688c2efb08d1c57d0f66ec6b23c8d8aeeb877f4ad6f7b7ae","source":{"kind":"arxiv","id":"1510.08973","version":1},"attestation_state":"computed","paper":{"title":"VISALOGY: Answering Visual Analogy Questions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ali Farhadi, C. Lawrence Zitnick, Fereshteh Sadeghi","submitted_at":"2015-10-30T05:43:41Z","abstract_excerpt":"In this paper, we study the problem of answering visual analogy questions. These questions take the form of image A is to image B as image C is to what. Answering these questions entails discovering the mapping from image A to image B and then extending the mapping to image C and searching for the image D such that the relation from A to B holds for C to D. We pose this problem as learning an embedding that encourages pairs of analogous images with similar transformations to be close together using convolutional neural networks with a quadruple Siamese architecture. We introduce a dataset of v"},"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":"1510.08973","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-10-30T05:43:41Z","cross_cats_sorted":[],"title_canon_sha256":"7bcf911123aa0464c3f0ba89cc281a6e15f8171a9d5a241ab2d2daf9de6da3f7","abstract_canon_sha256":"8022134204fca510b350ab470a45fba61a2729df67b04ece0a8be77b64efe343"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:28:23.883233Z","signature_b64":"dAaN9Sv42cciQd1gdbeWoe25uGV3PQROBQDKh3s3w85+SlDQkIZxaDcLuvQnL3ghM31L/+ihpGVkoxoxLwLbBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"af71c5b26c93b8df688c2efb08d1c57d0f66ec6b23c8d8aeeb877f4ad6f7b7ae","last_reissued_at":"2026-05-18T01:28:23.882574Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:28:23.882574Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"VISALOGY: Answering Visual Analogy Questions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ali Farhadi, C. Lawrence Zitnick, Fereshteh Sadeghi","submitted_at":"2015-10-30T05:43:41Z","abstract_excerpt":"In this paper, we study the problem of answering visual analogy questions. These questions take the form of image A is to image B as image C is to what. Answering these questions entails discovering the mapping from image A to image B and then extending the mapping to image C and searching for the image D such that the relation from A to B holds for C to D. We pose this problem as learning an embedding that encourages pairs of analogous images with similar transformations to be close together using convolutional neural networks with a quadruple Siamese architecture. We introduce a dataset of v"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1510.08973","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":"1510.08973","created_at":"2026-05-18T01:28:23.882682+00:00"},{"alias_kind":"arxiv_version","alias_value":"1510.08973v1","created_at":"2026-05-18T01:28:23.882682+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1510.08973","created_at":"2026-05-18T01:28:23.882682+00:00"},{"alias_kind":"pith_short_12","alias_value":"V5Y4LMTMSO4N","created_at":"2026-05-18T12:29:44.643036+00:00"},{"alias_kind":"pith_short_16","alias_value":"V5Y4LMTMSO4N62EM","created_at":"2026-05-18T12:29:44.643036+00:00"},{"alias_kind":"pith_short_8","alias_value":"V5Y4LMTM","created_at":"2026-05-18T12:29:44.643036+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/V5Y4LMTMSO4N62EMF35QRUOFPU","json":"https://pith.science/pith/V5Y4LMTMSO4N62EMF35QRUOFPU.json","graph_json":"https://pith.science/api/pith-number/V5Y4LMTMSO4N62EMF35QRUOFPU/graph.json","events_json":"https://pith.science/api/pith-number/V5Y4LMTMSO4N62EMF35QRUOFPU/events.json","paper":"https://pith.science/paper/V5Y4LMTM"},"agent_actions":{"view_html":"https://pith.science/pith/V5Y4LMTMSO4N62EMF35QRUOFPU","download_json":"https://pith.science/pith/V5Y4LMTMSO4N62EMF35QRUOFPU.json","view_paper":"https://pith.science/paper/V5Y4LMTM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1510.08973&json=true","fetch_graph":"https://pith.science/api/pith-number/V5Y4LMTMSO4N62EMF35QRUOFPU/graph.json","fetch_events":"https://pith.science/api/pith-number/V5Y4LMTMSO4N62EMF35QRUOFPU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/V5Y4LMTMSO4N62EMF35QRUOFPU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/V5Y4LMTMSO4N62EMF35QRUOFPU/action/storage_attestation","attest_author":"https://pith.science/pith/V5Y4LMTMSO4N62EMF35QRUOFPU/action/author_attestation","sign_citation":"https://pith.science/pith/V5Y4LMTMSO4N62EMF35QRUOFPU/action/citation_signature","submit_replication":"https://pith.science/pith/V5Y4LMTMSO4N62EMF35QRUOFPU/action/replication_record"}},"created_at":"2026-05-18T01:28:23.882682+00:00","updated_at":"2026-05-18T01:28:23.882682+00:00"}