{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:UODAGYK7O5DGRXRE6ITL3ECRPX","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":"059edf2ca9cdd99ff3758fbbd9d4d0b52531ccd13c4bc956cca7475187e0a2ce","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-09T00:17:49Z","title_canon_sha256":"62e46eef528c4e9ee1af491aa7f88ab86f645a38f49980711c8d04ab27df00f5"},"schema_version":"1.0","source":{"id":"2311.05077","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.05077","created_at":"2026-07-05T07:10:54Z"},{"alias_kind":"arxiv_version","alias_value":"2311.05077v1","created_at":"2026-07-05T07:10:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.05077","created_at":"2026-07-05T07:10:54Z"},{"alias_kind":"pith_short_12","alias_value":"UODAGYK7O5DG","created_at":"2026-07-05T07:10:54Z"},{"alias_kind":"pith_short_16","alias_value":"UODAGYK7O5DGRXRE","created_at":"2026-07-05T07:10:54Z"},{"alias_kind":"pith_short_8","alias_value":"UODAGYK7","created_at":"2026-07-05T07:10:54Z"}],"graph_snapshots":[{"event_id":"sha256:00c4affc6c6571e584ff42e957fc82411c8404a9bc34718fea423a5924855b06","target":"graph","created_at":"2026-07-05T07:10:54Z","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/2311.05077/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Human silhouette extraction is a fundamental task in computer vision with applications in various downstream tasks. However, occlusions pose a significant challenge, leading to incomplete and distorted silhouettes. To address this challenge, we introduce POISE: Pose Guided Human Silhouette Extraction under Occlusions, a novel self-supervised fusion framework that enhances accuracy and robustness in human silhouette prediction. By combining initial silhouette estimates from a segmentation model with human joint predictions from a 2D pose estimation model, POISE leverages the complementary stren","authors_text":"Amit K. Roy-Chowdhury, Arindam Dutta, Calvin Khang Ta, Dripta S. Raychaudhuri, Rohit Lal","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-09T00:17:49Z","title":"POISE: Pose Guided Human Silhouette Extraction under Occlusions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.05077","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":"sha256:5e06c746e5ba722e69e9b303b842ae1e0f7e6bfccfb056e6f78b3fbd3f089c6a","target":"record","created_at":"2026-07-05T07:10:54Z","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":"059edf2ca9cdd99ff3758fbbd9d4d0b52531ccd13c4bc956cca7475187e0a2ce","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-09T00:17:49Z","title_canon_sha256":"62e46eef528c4e9ee1af491aa7f88ab86f645a38f49980711c8d04ab27df00f5"},"schema_version":"1.0","source":{"id":"2311.05077","kind":"arxiv","version":1}},"canonical_sha256":"a38603615f774668de24f226bd90517dd0666df4137dda7574119f27844c83fe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a38603615f774668de24f226bd90517dd0666df4137dda7574119f27844c83fe","first_computed_at":"2026-07-05T07:10:54.236699Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:10:54.236699Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"l2SYthoJco/sLsQv+7loFs0hvO0TcnNT6VFSgnCoJgRjp1qdEP8FOupCiRYAGUmeDdk8mz3mECc9yncmKeMMBg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:10:54.237164Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.05077","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e06c746e5ba722e69e9b303b842ae1e0f7e6bfccfb056e6f78b3fbd3f089c6a","sha256:00c4affc6c6571e584ff42e957fc82411c8404a9bc34718fea423a5924855b06"],"state_sha256":"4f2f2406c8f21483d3362a30a486709783c5ee7be09953d43852434e350beb83"}