{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:6DN3XPRDCQKZC7SYLYS3P4HQ3T","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"3426179fb28fa7e56341c72752c03e1d740f03bbc5ec114649a654bcae4cd21e","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-12-23T06:28:00Z","title_canon_sha256":"f98f32b29f596e62124c9f2a1579c7344cf2f1afd9b65411d096344465e485c9"},"schema_version":"1.0","source":{"id":"2012.12510","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.12510","created_at":"2026-07-05T02:01:55Z"},{"alias_kind":"arxiv_version","alias_value":"2012.12510v2","created_at":"2026-07-05T02:01:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.12510","created_at":"2026-07-05T02:01:55Z"},{"alias_kind":"pith_short_12","alias_value":"6DN3XPRDCQKZ","created_at":"2026-07-05T02:01:55Z"},{"alias_kind":"pith_short_16","alias_value":"6DN3XPRDCQKZC7SY","created_at":"2026-07-05T02:01:55Z"},{"alias_kind":"pith_short_8","alias_value":"6DN3XPRD","created_at":"2026-07-05T02:01:55Z"}],"graph_snapshots":[{"event_id":"sha256:429026ec199f40f4c00501e96feb08423ea5df8218dd7e847c48d743ddb52090","target":"graph","created_at":"2026-07-05T02:01:55Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2012.12510/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we investigate the cause of the high false positive rate in Visual Relationship Detection (VRD). We observe that during training, the relationship proposal distribution is highly imbalanced: most of the negative relationship proposals are easy to identify, e.g., the inaccurate object detection, which leads to the under-fitting of low-frequency difficult proposals. This paper presents Spatially-Aware Balanced negative pRoposal sAmpling (SABRA), a robust VRD framework that alleviates the influence of false positives. To effectively optimize the model under imbalanced distribution,","authors_text":"Chongzhi Zhang, Daisheng Jin, Haiyu Zhao, Hongsheng Li, Jiashu Tao, Mingyuan Zhang, Shuai Yi, Xianglong Liu, Xiao Ma, Yizhuo Zhou, Zhoujun Li","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-12-23T06:28:00Z","title":"Towards Overcoming False Positives in Visual Relationship Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.12510","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:e8fc592947b3218480e4bb6c6593602434ea2b7ca38136a38778590f07cd850e","target":"record","created_at":"2026-07-05T02:01:55Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"3426179fb28fa7e56341c72752c03e1d740f03bbc5ec114649a654bcae4cd21e","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-12-23T06:28:00Z","title_canon_sha256":"f98f32b29f596e62124c9f2a1579c7344cf2f1afd9b65411d096344465e485c9"},"schema_version":"1.0","source":{"id":"2012.12510","kind":"arxiv","version":2}},"canonical_sha256":"f0dbbbbe231415917e585e25b7f0f0dcf94fc14534b1c730f1b89e1791102c33","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f0dbbbbe231415917e585e25b7f0f0dcf94fc14534b1c730f1b89e1791102c33","first_computed_at":"2026-07-05T02:01:55.630379Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:01:55.630379Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zClgTURoDH2yilbC8AooJ0L6xHGvctrWLtyXvZKcERTO7Ivf4AMUwmXVfkrAedkd0y1+fvfXd3kVqqR94yADCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:01:55.631661Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.12510","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e8fc592947b3218480e4bb6c6593602434ea2b7ca38136a38778590f07cd850e","sha256:429026ec199f40f4c00501e96feb08423ea5df8218dd7e847c48d743ddb52090"],"state_sha256":"583604835d9209469577139bc96c5ef9de745523479aaf3383d5e299f7e4dbd1"}