{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:CFZTPK4TH274U3XK26FITLQQZ6","short_pith_number":"pith:CFZTPK4T","schema_version":"1.0","canonical_sha256":"117337ab933ebfca6eead78a89ae10cf8f84cbe4ab567b7c9561432b27debb46","source":{"kind":"arxiv","id":"1807.10587","version":1},"attestation_state":"computed","paper":{"title":"Finding any Waldo: zero-shot invariant and efficient visual search","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","q-bio.NC"],"primary_cat":"cs.CV","authors_text":"Gabriel Kreiman, Jiashi Feng, Joo Hwee Lim, Keng Teck Ma, Mengmi Zhang, Qi Zhao","submitted_at":"2018-07-18T01:17:34Z","abstract_excerpt":"Searching for a target object in a cluttered scene constitutes a fundamental challenge in daily vision. Visual search must be selective enough to discriminate the target from distractors, invariant to changes in the appearance of the target, efficient to avoid exhaustive exploration of the image, and must generalize to locate novel target objects with zero-shot training. Previous work has focused on searching for perfect matches of a target after extensive category-specific training. Here we show for the first time that humans can efficiently and invariantly search for natural objects in compl"},"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":"1807.10587","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-18T01:17:34Z","cross_cats_sorted":["cs.AI","q-bio.NC"],"title_canon_sha256":"973fceafca3cb26708e0867530e229d57dc61b848233f87aa4af7e780a5fe0f4","abstract_canon_sha256":"93a6a66baf5c21694d46cd980a23608291cbe19db81573468891d59092518949"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:02:31.516282Z","signature_b64":"Kg8VtzxmWJyYYzbgCN06s7hTP5g4V0jZKMInagrbkzyzJfto9KtSBWQ5X4SA2tB5XxNLRJznk54qkgo8J3swAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"117337ab933ebfca6eead78a89ae10cf8f84cbe4ab567b7c9561432b27debb46","last_reissued_at":"2026-05-18T00:02:31.515628Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:02:31.515628Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Finding any Waldo: zero-shot invariant and efficient visual search","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","q-bio.NC"],"primary_cat":"cs.CV","authors_text":"Gabriel Kreiman, Jiashi Feng, Joo Hwee Lim, Keng Teck Ma, Mengmi Zhang, Qi Zhao","submitted_at":"2018-07-18T01:17:34Z","abstract_excerpt":"Searching for a target object in a cluttered scene constitutes a fundamental challenge in daily vision. Visual search must be selective enough to discriminate the target from distractors, invariant to changes in the appearance of the target, efficient to avoid exhaustive exploration of the image, and must generalize to locate novel target objects with zero-shot training. Previous work has focused on searching for perfect matches of a target after extensive category-specific training. Here we show for the first time that humans can efficiently and invariantly search for natural objects in compl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.10587","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":"1807.10587","created_at":"2026-05-18T00:02:31.515746+00:00"},{"alias_kind":"arxiv_version","alias_value":"1807.10587v1","created_at":"2026-05-18T00:02:31.515746+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.10587","created_at":"2026-05-18T00:02:31.515746+00:00"},{"alias_kind":"pith_short_12","alias_value":"CFZTPK4TH274","created_at":"2026-05-18T12:32:16.446611+00:00"},{"alias_kind":"pith_short_16","alias_value":"CFZTPK4TH274U3XK","created_at":"2026-05-18T12:32:16.446611+00:00"},{"alias_kind":"pith_short_8","alias_value":"CFZTPK4T","created_at":"2026-05-18T12:32:16.446611+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/CFZTPK4TH274U3XK26FITLQQZ6","json":"https://pith.science/pith/CFZTPK4TH274U3XK26FITLQQZ6.json","graph_json":"https://pith.science/api/pith-number/CFZTPK4TH274U3XK26FITLQQZ6/graph.json","events_json":"https://pith.science/api/pith-number/CFZTPK4TH274U3XK26FITLQQZ6/events.json","paper":"https://pith.science/paper/CFZTPK4T"},"agent_actions":{"view_html":"https://pith.science/pith/CFZTPK4TH274U3XK26FITLQQZ6","download_json":"https://pith.science/pith/CFZTPK4TH274U3XK26FITLQQZ6.json","view_paper":"https://pith.science/paper/CFZTPK4T","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1807.10587&json=true","fetch_graph":"https://pith.science/api/pith-number/CFZTPK4TH274U3XK26FITLQQZ6/graph.json","fetch_events":"https://pith.science/api/pith-number/CFZTPK4TH274U3XK26FITLQQZ6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CFZTPK4TH274U3XK26FITLQQZ6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CFZTPK4TH274U3XK26FITLQQZ6/action/storage_attestation","attest_author":"https://pith.science/pith/CFZTPK4TH274U3XK26FITLQQZ6/action/author_attestation","sign_citation":"https://pith.science/pith/CFZTPK4TH274U3XK26FITLQQZ6/action/citation_signature","submit_replication":"https://pith.science/pith/CFZTPK4TH274U3XK26FITLQQZ6/action/replication_record"}},"created_at":"2026-05-18T00:02:31.515746+00:00","updated_at":"2026-05-18T00:02:31.515746+00:00"}