{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:YCOVMQWHLAPXLETNFALXL5W5GQ","short_pith_number":"pith:YCOVMQWH","schema_version":"1.0","canonical_sha256":"c09d5642c7581f75926d281775f6dd341ff04edec5ab72cf69bd565530a65b98","source":{"kind":"arxiv","id":"1808.08754","version":1},"attestation_state":"computed","paper":{"title":"What Makes Natural Scene Memorable?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Jiaxin Lu, Mai Xu, Ren Yang, Zulin Wang","submitted_at":"2018-08-27T09:38:16Z","abstract_excerpt":"Recent studies on image memorability have shed light on the visual features that make generic images, object images or face photographs memorable. However, a clear understanding and reliable estimation of natural scene memorability remain elusive. In this paper, we provide an attempt to answer: \"what exactly makes natural scene memorable\". Specifically, we first build LNSIM, a large-scale natural scene image memorability database (containing 2,632 images and memorability annotations). Then, we mine our database to investigate how low-, middle- and high-level handcrafted features affect the mem"},"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":"1808.08754","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-27T09:38:16Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f1ebdff5c3c8fe352be5fa3889601c883480ce5cd65f94afcf0b042db9dd2561","abstract_canon_sha256":"ab77b749ef6ed5bcffb628602800304efbed8859c0aa78405b9cd11295f461fc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:56:47.064193Z","signature_b64":"nMHK6fWw/iBgAwC//5SE8Pk4VkTUV12FKzyeIXlSW3YHgfXtN457i7CY2Ldaz/QMSnUbbwyyBJMGhMPHoZinBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c09d5642c7581f75926d281775f6dd341ff04edec5ab72cf69bd565530a65b98","last_reissued_at":"2026-07-04T23:56:47.063644Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:56:47.063644Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"What Makes Natural Scene Memorable?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Jiaxin Lu, Mai Xu, Ren Yang, Zulin Wang","submitted_at":"2018-08-27T09:38:16Z","abstract_excerpt":"Recent studies on image memorability have shed light on the visual features that make generic images, object images or face photographs memorable. However, a clear understanding and reliable estimation of natural scene memorability remain elusive. In this paper, we provide an attempt to answer: \"what exactly makes natural scene memorable\". Specifically, we first build LNSIM, a large-scale natural scene image memorability database (containing 2,632 images and memorability annotations). Then, we mine our database to investigate how low-, middle- and high-level handcrafted features affect the mem"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.08754","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/1808.08754/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":"1808.08754","created_at":"2026-07-04T23:56:47.063745+00:00"},{"alias_kind":"arxiv_version","alias_value":"1808.08754v1","created_at":"2026-07-04T23:56:47.063745+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.08754","created_at":"2026-07-04T23:56:47.063745+00:00"},{"alias_kind":"pith_short_12","alias_value":"YCOVMQWHLAPX","created_at":"2026-07-04T23:56:47.063745+00:00"},{"alias_kind":"pith_short_16","alias_value":"YCOVMQWHLAPXLETN","created_at":"2026-07-04T23:56:47.063745+00:00"},{"alias_kind":"pith_short_8","alias_value":"YCOVMQWH","created_at":"2026-07-04T23:56:47.063745+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/YCOVMQWHLAPXLETNFALXL5W5GQ","json":"https://pith.science/pith/YCOVMQWHLAPXLETNFALXL5W5GQ.json","graph_json":"https://pith.science/api/pith-number/YCOVMQWHLAPXLETNFALXL5W5GQ/graph.json","events_json":"https://pith.science/api/pith-number/YCOVMQWHLAPXLETNFALXL5W5GQ/events.json","paper":"https://pith.science/paper/YCOVMQWH"},"agent_actions":{"view_html":"https://pith.science/pith/YCOVMQWHLAPXLETNFALXL5W5GQ","download_json":"https://pith.science/pith/YCOVMQWHLAPXLETNFALXL5W5GQ.json","view_paper":"https://pith.science/paper/YCOVMQWH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1808.08754&json=true","fetch_graph":"https://pith.science/api/pith-number/YCOVMQWHLAPXLETNFALXL5W5GQ/graph.json","fetch_events":"https://pith.science/api/pith-number/YCOVMQWHLAPXLETNFALXL5W5GQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YCOVMQWHLAPXLETNFALXL5W5GQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YCOVMQWHLAPXLETNFALXL5W5GQ/action/storage_attestation","attest_author":"https://pith.science/pith/YCOVMQWHLAPXLETNFALXL5W5GQ/action/author_attestation","sign_citation":"https://pith.science/pith/YCOVMQWHLAPXLETNFALXL5W5GQ/action/citation_signature","submit_replication":"https://pith.science/pith/YCOVMQWHLAPXLETNFALXL5W5GQ/action/replication_record"}},"created_at":"2026-07-04T23:56:47.063745+00:00","updated_at":"2026-07-04T23:56:47.063745+00:00"}