{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:K3AP27X5GRSLJHGPE6UQ3DT3GC","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":"c3575bbf9d19de1b2490d72889add63d32e3436a845ac4a2f98f3958b23d2b7e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-23T06:20:51Z","title_canon_sha256":"2a4b471738bf67579651da872695db21cb211df423d44a4424fb476735348db9"},"schema_version":"1.0","source":{"id":"1711.08585","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.08585","created_at":"2026-05-18T00:02:45Z"},{"alias_kind":"arxiv_version","alias_value":"1711.08585v4","created_at":"2026-05-18T00:02:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.08585","created_at":"2026-05-18T00:02:45Z"},{"alias_kind":"pith_short_12","alias_value":"K3AP27X5GRSL","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"K3AP27X5GRSLJHGP","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"K3AP27X5","created_at":"2026-05-18T12:31:24Z"}],"graph_snapshots":[{"event_id":"sha256:36dbc142df1343d3cb7929471604d6cb25d6b1b6640c9a92da257c5e088041a3","target":"graph","created_at":"2026-05-18T00:02:45Z","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":"In this work, we address the problem of 3D human pose estimation from a sequence of 2D human poses. Although the recent success of deep networks has led many state-of-the-art methods for 3D pose estimation to train deep networks end-to-end to predict from images directly, the top-performing approaches have shown the effectiveness of dividing the task of 3D pose estimation into two steps: using a state-of-the-art 2D pose estimator to estimate the 2D pose from images and then mapping them into 3D space. They also showed that a low-dimensional representation like 2D locations of a set of joints c","authors_text":"James J. Little, Mir Rayat Imtiaz Hossain","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-23T06:20:51Z","title":"Exploiting temporal information for 3D pose estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.08585","kind":"arxiv","version":4},"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:dc7a1fe4a8199a554335f0288495288597fed52a4248b833cc97600931322526","target":"record","created_at":"2026-05-18T00:02:45Z","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":"c3575bbf9d19de1b2490d72889add63d32e3436a845ac4a2f98f3958b23d2b7e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-23T06:20:51Z","title_canon_sha256":"2a4b471738bf67579651da872695db21cb211df423d44a4424fb476735348db9"},"schema_version":"1.0","source":{"id":"1711.08585","kind":"arxiv","version":4}},"canonical_sha256":"56c0fd7efd3464b49ccf27a90d8e7b30bde324602e84d74a0047ce388dd20dd2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"56c0fd7efd3464b49ccf27a90d8e7b30bde324602e84d74a0047ce388dd20dd2","first_computed_at":"2026-05-18T00:02:45.428975Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:02:45.428975Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bjktC0pUteXvNwSGIKqUlbRPPoCTOHcbE8ACtxBzuiu0QDNzJEZckznn4gb1tbPodWwGYB7L/YStQyJPfmCwBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:02:45.429415Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.08585","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dc7a1fe4a8199a554335f0288495288597fed52a4248b833cc97600931322526","sha256:36dbc142df1343d3cb7929471604d6cb25d6b1b6640c9a92da257c5e088041a3"],"state_sha256":"62aabc90728e2adf88a976b913396913f6d516b460c8c2f70e1f3792506d1526"}