{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:GYA7YIZR3DGJCYW7XGDTYDEN7M","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":"eb0f12dc55b1f43d43111a434901f33502115ad0d5a8d55b6e8cba5ea0abf063","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-08-18T02:37:28Z","title_canon_sha256":"28434188437d5b5a7333146d750180e4010417b21fd50baa4015bfdcd65fc0be"},"schema_version":"1.0","source":{"id":"1608.05159","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.05159","created_at":"2026-05-18T01:08:31Z"},{"alias_kind":"arxiv_version","alias_value":"1608.05159v1","created_at":"2026-05-18T01:08:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.05159","created_at":"2026-05-18T01:08:31Z"},{"alias_kind":"pith_short_12","alias_value":"GYA7YIZR3DGJ","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"GYA7YIZR3DGJCYW7","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"GYA7YIZR","created_at":"2026-05-18T12:30:19Z"}],"graph_snapshots":[{"event_id":"sha256:977415746c9b417decaa0c3a9f479b7fa82330e60a21d76df5205db78317c9ba","target":"graph","created_at":"2026-05-18T01:08:31Z","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"},"paper":{"abstract_excerpt":"Most of existing detection pipelines treat object proposals independently and predict bounding box locations and classification scores over them separately. However, the important semantic and spatial layout correlations among proposals are often ignored, which are actually useful for more accurate object detection. In this work, we propose a new EM-like group recursive learning approach to iteratively refine object proposals by incorporating such context of surrounding proposals and provide an optimal spatial configuration of object detections. In addition, we propose to incorporate the weakl","authors_text":"Jianan Li, Jianshu Li, Jiashi Feng, Shuicheng Yan, Tingfa Xu, Xiaodan Liang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-08-18T02:37:28Z","title":"Multi-stage Object Detection with Group Recursive Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.05159","kind":"arxiv","version":1},"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":"sha256:93bc7ec30e094bd2d2d3e119ace8546129630ac49717fdb1aa9603218cb18401","target":"record","created_at":"2026-05-18T01:08:31Z","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":"eb0f12dc55b1f43d43111a434901f33502115ad0d5a8d55b6e8cba5ea0abf063","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-08-18T02:37:28Z","title_canon_sha256":"28434188437d5b5a7333146d750180e4010417b21fd50baa4015bfdcd65fc0be"},"schema_version":"1.0","source":{"id":"1608.05159","kind":"arxiv","version":1}},"canonical_sha256":"3601fc2331d8cc9162dfb9873c0c8dfb3fca3c2128e00c98d9edb7aacd21e4dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3601fc2331d8cc9162dfb9873c0c8dfb3fca3c2128e00c98d9edb7aacd21e4dd","first_computed_at":"2026-05-18T01:08:31.764593Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:08:31.764593Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rzFhGjru4L5yYzloBtH5K7WUJCloA7mj6xKpfWzxCA9fptRXjdC4AY9T0XiortOwqAYi09pksc9MBIK9zotsDw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:08:31.765055Z","signed_message":"canonical_sha256_bytes"},"source_id":"1608.05159","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:93bc7ec30e094bd2d2d3e119ace8546129630ac49717fdb1aa9603218cb18401","sha256:977415746c9b417decaa0c3a9f479b7fa82330e60a21d76df5205db78317c9ba"],"state_sha256":"284874229e58b54c81ef0cea761549f83f6859dac136c241c0ba76fc059e5e8c"}