{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LU6TTS3SNNZB4FN3IDU5DST5MO","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":"d14fb529b412399fc138124c917a69254ec5dfc650e7f5dfb1e63563894b7d3e","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-05-20T19:57:25Z","title_canon_sha256":"1f0067d7b171bb4db1be3aac6df311a1b0a833ed9c30b21745ec9ac54c25b68a"},"schema_version":"1.0","source":{"id":"2505.14866","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.14866","created_at":"2026-07-05T11:06:36Z"},{"alias_kind":"arxiv_version","alias_value":"2505.14866v1","created_at":"2026-07-05T11:06:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.14866","created_at":"2026-07-05T11:06:36Z"},{"alias_kind":"pith_short_12","alias_value":"LU6TTS3SNNZB","created_at":"2026-07-05T11:06:36Z"},{"alias_kind":"pith_short_16","alias_value":"LU6TTS3SNNZB4FN3","created_at":"2026-07-05T11:06:36Z"},{"alias_kind":"pith_short_8","alias_value":"LU6TTS3S","created_at":"2026-07-05T11:06:36Z"}],"graph_snapshots":[{"event_id":"sha256:57065020030dc83f1d53c2bd8fd1ec874458458f47ab85652a696f20e81a99c2","target":"graph","created_at":"2026-07-05T11:06:36Z","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/2505.14866/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce a unified approach to forecast the dynamics of human keypoints along with the motion trajectory based on a short sequence of input poses. While many studies address either full-body pose prediction or motion trajectory prediction, only a few attempt to merge them. We propose a motion transformation technique to simultaneously predict full-body pose and trajectory key-points in a global coordinate frame. We utilize an off-the-shelf 3D human pose estimation module, a graph attention network to encode the skeleton structure, and a compact, non-autoregressive transformer suitable for ","authors_text":"Andrey Rudenko, Nisarga Nilavadi, Timm Linder","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-05-20T19:57:25Z","title":"UPTor: Unified 3D Human Pose Dynamics and Trajectory Prediction for Human-Robot Interaction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.14866","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":"sha256:3ea990b733447a7257957f36fc364167c1a596cd3136d9ac4ec2356b192cac58","target":"record","created_at":"2026-07-05T11:06:36Z","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":"d14fb529b412399fc138124c917a69254ec5dfc650e7f5dfb1e63563894b7d3e","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-05-20T19:57:25Z","title_canon_sha256":"1f0067d7b171bb4db1be3aac6df311a1b0a833ed9c30b21745ec9ac54c25b68a"},"schema_version":"1.0","source":{"id":"2505.14866","kind":"arxiv","version":1}},"canonical_sha256":"5d3d39cb726b721e15bb40e9d1ca7d638db70f370c51d0426ac8c605abce8a95","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5d3d39cb726b721e15bb40e9d1ca7d638db70f370c51d0426ac8c605abce8a95","first_computed_at":"2026-07-05T11:06:36.660348Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:06:36.660348Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"opcimqZXWWYPJk8kCs5bFBxwaGiLY56dWKEVB50LAZF1kEs/4/zYLJeJHQDl0er8wkf9GclW+pgv5wtn0nqqBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:06:36.660824Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.14866","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3ea990b733447a7257957f36fc364167c1a596cd3136d9ac4ec2356b192cac58","sha256:57065020030dc83f1d53c2bd8fd1ec874458458f47ab85652a696f20e81a99c2"],"state_sha256":"65ab65a045be6e8c5c9a2eb054c0dd5b8f5f04b23ac13dc9995efa1033a75ca8"}