Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Human-M3: A Multi-view Multi-modal Dataset for 3D Human Pose Estimation in Outdoor Scenes
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2308.00628.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:11:50.018181Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T08:33:15.272935Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 32e82871-2ecd-4f7d-b4c5-329ee5840c7f · inbound
Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation cites this paper.
Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation Human-M3: A Multi-view Multi-modal Dataset for 3D Human Pose Estimation in Outdoor Scenes
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:11:50.018181Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aad667ae-1360-457b-8265-6afc106a0c70 · inbound
Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset cites this paper.
Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset Human-M3: A Multi-view Multi-modal Dataset for 3D Human Pose Estimation in Outdoor Scenes
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:04:03.350056Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b46d8d7-e5c5-4af7-89fd-dc41eba8f719 · inbound
LiDAR for Rehabilitation: A Comprehensive Survey of Applications, AI Techniques, and Future Directions cites this paper.
LiDAR for Rehabilitation: A Comprehensive Survey of Applications, AI Techniques, and Future Directions Human-M3: A Multi-view Multi-modal Dataset for 3D Human Pose Estimation in Outdoor Scenes
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:11:05.989796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 682a10d4-2f06-4121-8495-c958f903b772 · inbound
Mesh-Aware Epipolar Matching for Multi-View Multi-Person 3D Pose Estimation in Basketball cites this paper.
Mesh-Aware Epipolar Matching for Multi-View Multi-Person 3D Pose Estimation in Basketball Human-M3: A Multi-view Multi-modal Dataset for 3D Human Pose Estimation in Outdoor Scenes
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T08:33:15.274232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 59fd8aa5-b704-4cd3-9369-556d5057ccfb · inbound
Sen-Cap: Sensor-Flexible and Noise-Resilient Human Motion Capture via LiDAR-Camera Integration cites this paper.
Sen-Cap: Sensor-Flexible and Noise-Resilient Human Motion Capture via LiDAR-Camera Integration Human-M3: A Multi-view Multi-modal Dataset for 3D Human Pose Estimation in Outdoor Scenes
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T10:04:10.616934Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.