{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:AK3UHG5EKIFAGR3R6BKLL2KTZT","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":"dfe4c38527d11333996db794b1eef3fc2bebd2e832437ccd40e3c4c6ac9de31c","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-03T18:01:54Z","title_canon_sha256":"e343bf804323e39c9c618e7d5086d0c82bb6cdc68a5b0c504fc4addc1085ab78"},"schema_version":"1.0","source":{"id":"1804.01110","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.01110","created_at":"2026-05-18T00:19:16Z"},{"alias_kind":"arxiv_version","alias_value":"1804.01110v1","created_at":"2026-05-18T00:19:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.01110","created_at":"2026-05-18T00:19:16Z"},{"alias_kind":"pith_short_12","alias_value":"AK3UHG5EKIFA","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"AK3UHG5EKIFAGR3R","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"AK3UHG5E","created_at":"2026-05-18T12:32:13Z"}],"graph_snapshots":[{"event_id":"sha256:dbea30a913506cf6492f9695cf89cbb28eac24690da84538602d777f393089d3","target":"graph","created_at":"2026-05-18T00:19:16Z","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":"Modern 3D human pose estimation techniques rely on deep networks, which require large amounts of training data. While weakly-supervised methods require less supervision, by utilizing 2D poses or multi-view imagery without annotations, they still need a sufficiently large set of samples with 3D annotations for learning to succeed.\n  In this paper, we propose to overcome this problem by learning a geometry-aware body representation from multi-view images without annotations. To this end, we use an encoder-decoder that predicts an image from one viewpoint given an image from another viewpoint. Be","authors_text":"Helge Rhodin, Mathieu Salzmann, Pascal Fua","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-03T18:01:54Z","title":"Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.01110","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":"sha256:8917122bc4bed573731daa615096152c20b64ed6f541de0cddb50910ba6aad11","target":"record","created_at":"2026-05-18T00:19:16Z","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":"dfe4c38527d11333996db794b1eef3fc2bebd2e832437ccd40e3c4c6ac9de31c","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-03T18:01:54Z","title_canon_sha256":"e343bf804323e39c9c618e7d5086d0c82bb6cdc68a5b0c504fc4addc1085ab78"},"schema_version":"1.0","source":{"id":"1804.01110","kind":"arxiv","version":1}},"canonical_sha256":"02b7439ba4520a034771f054b5e953ccff69658d4f1b1a77d9f2fe2141df09e7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"02b7439ba4520a034771f054b5e953ccff69658d4f1b1a77d9f2fe2141df09e7","first_computed_at":"2026-05-18T00:19:16.093451Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:19:16.093451Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8L35npANUowLWvdtHCeBMITm9ope793tUiqA/hJBOqakTQmF1gh0fB1iMFTRGos5fZ1FJ5t4YpK+e2vUt9ouBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:19:16.094227Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.01110","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8917122bc4bed573731daa615096152c20b64ed6f541de0cddb50910ba6aad11","sha256:dbea30a913506cf6492f9695cf89cbb28eac24690da84538602d777f393089d3"],"state_sha256":"b437e97f50eee36d06c66ed6985b4280ba047792ea77bb57c7bbede20bf1a78c"}