{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GDOSYUGTZNPMZGYQUJD23F7ZWU","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":"28e1ffb141a7955ed05e015bf60ae35db5fc92f3a474e7fb631d8d4aad0c4482","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-21T08:18:23Z","title_canon_sha256":"9ff2d95fc3f0e8d3b82cc54a9b5018ba9092f1b2845d03ca208b8eeb28b4a553"},"schema_version":"1.0","source":{"id":"2507.16850","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.16850","created_at":"2026-07-05T11:41:57Z"},{"alias_kind":"arxiv_version","alias_value":"2507.16850v1","created_at":"2026-07-05T11:41:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.16850","created_at":"2026-07-05T11:41:57Z"},{"alias_kind":"pith_short_12","alias_value":"GDOSYUGTZNPM","created_at":"2026-07-05T11:41:57Z"},{"alias_kind":"pith_short_16","alias_value":"GDOSYUGTZNPMZGYQ","created_at":"2026-07-05T11:41:57Z"},{"alias_kind":"pith_short_8","alias_value":"GDOSYUGT","created_at":"2026-07-05T11:41:57Z"}],"graph_snapshots":[{"event_id":"sha256:fcddf3b2dbf359e412d7adc97c8a12ca739dfb903d11d00f729a2d29714145be","target":"graph","created_at":"2026-07-05T11:41:57Z","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/2507.16850/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Monocular 3D human pose estimation remains a challenging and ill-posed problem, particularly in real-time settings and unconstrained environments. While direct imageto-3D approaches require large annotated datasets and heavy models, 2D-to-3D lifting offers a more lightweight and flexible alternative-especially when enhanced with prior knowledge. In this work, we propose a framework that combines real-time 2D keypoint detection with geometry-aware 2D-to-3D lifting, explicitly leveraging known camera intrinsics and subject-specific anatomical priors. Our approach builds on recent advances in sel","authors_text":"Mohamed Adjel (LAAS)","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-21T08:18:23Z","title":"Toward a Real-Time Framework for Accurate Monocular 3D Human Pose Estimation with Geometric Priors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.16850","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:e8d615b847560fdf7bdc57e4deee09080606e8593c693f5331fd0f14b19761ea","target":"record","created_at":"2026-07-05T11:41:57Z","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":"28e1ffb141a7955ed05e015bf60ae35db5fc92f3a474e7fb631d8d4aad0c4482","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-21T08:18:23Z","title_canon_sha256":"9ff2d95fc3f0e8d3b82cc54a9b5018ba9092f1b2845d03ca208b8eeb28b4a553"},"schema_version":"1.0","source":{"id":"2507.16850","kind":"arxiv","version":1}},"canonical_sha256":"30dd2c50d3cb5ecc9b10a247ad97f9b515208962439c3ef3692f1b2be67d5191","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"30dd2c50d3cb5ecc9b10a247ad97f9b515208962439c3ef3692f1b2be67d5191","first_computed_at":"2026-07-05T11:41:57.034396Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:41:57.034396Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jr2Y698dQf6uhnDbBWbFimPpQZa4yNnT6Uh3yx2Ng9sA4UE2dkkV9MIlcCRBq0VEN9EEu+LVXWCwELRfWTLUDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:41:57.034814Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.16850","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e8d615b847560fdf7bdc57e4deee09080606e8593c693f5331fd0f14b19761ea","sha256:fcddf3b2dbf359e412d7adc97c8a12ca739dfb903d11d00f729a2d29714145be"],"state_sha256":"5fe33fb3b205b0b51b20ac44f2a3c7fbcc8f54adcb7fd6946c1730e816f621c5"}