{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SX3QFHQEOXWYSYEC4HTHWVKSK3","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":"f97350942f8ab24c5309a95b331712fa87e94c2eb383f4da9dab0efdcc687e6d","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-12T18:35:34Z","title_canon_sha256":"857b3d45b8e49bcd4864dc47bc9ab752115aebafb410a7e8247af0dad4fbe88f"},"schema_version":"1.0","source":{"id":"2508.10933","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.10933","created_at":"2026-07-05T11:54:15Z"},{"alias_kind":"arxiv_version","alias_value":"2508.10933v1","created_at":"2026-07-05T11:54:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.10933","created_at":"2026-07-05T11:54:15Z"},{"alias_kind":"pith_short_12","alias_value":"SX3QFHQEOXWY","created_at":"2026-07-05T11:54:15Z"},{"alias_kind":"pith_short_16","alias_value":"SX3QFHQEOXWYSYEC","created_at":"2026-07-05T11:54:15Z"},{"alias_kind":"pith_short_8","alias_value":"SX3QFHQE","created_at":"2026-07-05T11:54:15Z"}],"graph_snapshots":[{"event_id":"sha256:e1846c486967c88dc875177318e449509cb89928616a514abcfae27cc78b1ca4","target":"graph","created_at":"2026-07-05T11:54:15Z","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/2508.10933/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate camera localization is crucial for modern retail environments, enabling enhanced customer experiences, streamlined inventory management, and autonomous operations. While Absolute Pose Regression (APR) from a single image offers a promising solution, approaches that incorporate visual and spatial scene priors tend to achieve higher accuracy. Camera Pose Auto-Encoders (PAEs) have recently been introduced to embed such priors into APR. In this work, we extend PAEs to the task of Relative Pose Regression (RPR) and propose a novel re-localization scheme that refines APR predictions using P","authors_text":"Yoli Shavit, Yosi Keller","cross_cats":["eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-12T18:35:34Z","title":"Relative Pose Regression with Pose Auto-Encoders: Enhancing Accuracy and Data Efficiency for Retail Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.10933","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":"sha256:81a2c2a85909ba9ee9bfdd50529ac5d3c8346b6ebc00bc87f5278469408db3f0","target":"record","created_at":"2026-07-05T11:54:15Z","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":"f97350942f8ab24c5309a95b331712fa87e94c2eb383f4da9dab0efdcc687e6d","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-12T18:35:34Z","title_canon_sha256":"857b3d45b8e49bcd4864dc47bc9ab752115aebafb410a7e8247af0dad4fbe88f"},"schema_version":"1.0","source":{"id":"2508.10933","kind":"arxiv","version":1}},"canonical_sha256":"95f7029e0475ed896082e1e67b555256e2646e483b3546e25c62483f63cafecf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"95f7029e0475ed896082e1e67b555256e2646e483b3546e25c62483f63cafecf","first_computed_at":"2026-07-05T11:54:15.583729Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:54:15.583729Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Zm0Kofd7DVPMoOzJQZuO0U4AWsal066uqEgo55E+gQEHuVYLpTmpa0XUSLBAMqDK5miN0M2JMyqkEdGd1ax/AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:54:15.584166Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.10933","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:81a2c2a85909ba9ee9bfdd50529ac5d3c8346b6ebc00bc87f5278469408db3f0","sha256:e1846c486967c88dc875177318e449509cb89928616a514abcfae27cc78b1ca4"],"state_sha256":"d6063733a5f43a36b5026859306e9995fe8d23b19b976a9f12f37fc7c39ab340"}