{"as_of":"2026-08-08T09:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7fa49a8b1e07e12c2ca5c286b257b7bd119916c461a9cc70086f52428e102fc4","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:25:48.094737Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.11037/citation-record","integrity":"/paper/2507.11037/integrity","json":"/paper/2507.11037/citation-record.json","paper":"/paper/2507.11037"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:54.819670Z","title":"The relationship between foot posture and lower limb kinematics during walking: A systematic review","venue":null,"work_id":"f2ba28f9-8187-4253-b1e6-524f1d907ec7","year":2013},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:43.730568Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:d1b60303b3097b0c7c94c1c8dba2cdb7a9a8fd8150e63a88d67ddf2d8fd98aa7","observation_id":"a3c0da09-1382-48ae-82a4-724010e79ad6","resolution":{"observed_at":"2026-08-06T17:25:54.876992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:54.689955Z","title":"Present and future of gait assessment in clinical practice: Towards the application of novel trends and technologies","venue":null,"work_id":"64618fbf-66cd-46f1-9eb9-189195948fd4","year":2022},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:43.810128Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:235a3f67c863ad97d4064603722677ceabe3c2263397fea37ea2f51794dddc46","observation_id":"e7c150a6-9004-456b-9e9d-db82062a7bd4","resolution":{"observed_at":"2026-08-06T17:25:54.753521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:54.572589Z","title":"Gait analysis methods in rehabilitation","venue":null,"work_id":"07a7f136-3b8e-4b4b-a016-531d9dcddedd","year":2006},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:43.880062Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:d086e1fcc6af15d8d15e71ff265e7d902b02ea59615561432aad80fecebcdfa3","observation_id":"b73a642d-ff53-44eb-af19-fae1bf73eeba","resolution":{"observed_at":"2026-08-06T17:25:54.628370Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:54.392944Z","title":"Humanoid robot lola: Design and walking control","venue":null,"work_id":"9ea443b1-d385-4441-b771-792a464fb256","year":2009},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:43.972875Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:2bdb020130f42a8389bd62740dd8b9cea42609e11474eff88e2dbe017e5e517c","observation_id":"38d57785-5205-49a9-8b16-7cd5ec636569","resolution":{"observed_at":"2026-08-06T17:25:54.477499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:54.245957Z","title":"A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work","venue":null,"work_id":"cf939aa9-dfee-470c-bf3d-71855411f921","year":2022},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:44.039969Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:d825474e8f1bcb5106f68e976b6cc59c1f913256482f378e8ad48acf847a669c","observation_id":"dab1939d-51cb-4acc-a357-6ad46f58fe89","resolution":{"observed_at":"2026-08-06T17:25:54.310656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:54.202091Z","title":"Association between foot type and tibial stress injuries: a systematic review","venue":null,"work_id":"9e6f9b14-cd79-43b6-9668-c4563f3ce4de","year":2008},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:44.089113Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:0313189a0479066402fec2211d75e1ff8d2b1c131435bf287db94c7f3873d6eb","observation_id":"0b6917bb-26cb-4318-a8e5-83fd8173b3fb","resolution":{"observed_at":"2026-08-06T17:25:54.231341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:54.059554Z","title":"Kinematic analysis of a multi-segment foot model for research and clinical applications: a repeatability analysis","venue":null,"work_id":"571dc50a-f123-4772-ad53-adad8ca60c04","year":2001},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:44.170874Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:e1508e67c14a4878b70127e354c942c65415caa3c488f055e3774677e4380a71","observation_id":"8e59cf5e-55a4-4216-8d37-f54ecd22a165","resolution":{"observed_at":"2026-08-06T17:25:54.134886Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:53.905761Z","title":"Applications and limitations of current markerless motion capture methods for clinical gait biomechanics","venue":null,"work_id":"7f4fdef4-9143-4511-84f0-3550421cc065","year":2022},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:44.221878Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:e4b79b22a9f16b083c08c84af28cd6b71b9e5c8e885c15093b9ab9cc0766476e","observation_id":"35eb793f-f35f-48de-b3cc-990d2fc1746b","resolution":{"observed_at":"2026-08-06T17:25:53.979249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:53.764244Z","title":"Gait assessment using the microsoft xbox one kinect: Concurrent validity and inter-day reliability of spatiotemporal and kinematic variables","venue":null,"work_id":"6b4dc9e4-882a-46e4-bc0e-3c7d17a4b389","year":2015},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:44.327293Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:b0149b52a568f22e1e9d63681c44b3f301d79c2690c8120f9cacae22adb69e17","observation_id":"31b28223-a4e4-44d3-b627-d529d81bf2cf","resolution":{"observed_at":"2026-08-06T17:25:53.834363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:53.599557Z","title":"Lidar-based gait analysis and activity recognition in a 4d surveillance system","venue":null,"work_id":"f89f28b3-2d7b-405a-bb21-61efa7f08413","year":2016},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:44.388686Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:4133ad072eac9eec6a79eabdadd763e8a3e6e068cd237ef484e9468d13ea1d96","observation_id":"10a12b6d-9fd7-47ad-bf62-61b712863cf2","resolution":{"observed_at":"2026-08-06T17:25:53.674206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:53.458777Z","title":"A novel dataset and deep learning-based approach for marker-less motion capture during gait","venue":null,"work_id":"e78f06e7-4212-42c2-a56f-577cc790ed28","year":2021},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:44.450376Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:6d243421b3d7af1c216adc20e2adbfe2b25cbcaf86daf440ca1cd7a1c19c7126","observation_id":"4046c558-6212-4215-b58a-ad64dc311f9b","resolution":{"observed_at":"2026-08-06T17:25:53.524111Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:53.300799Z","title":"Unsupervised point cloud representation learning with deep neural networks: A survey","venue":null,"work_id":"1b987386-6458-4f96-84ea-b5dff0c3960c","year":2023},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:44.465106Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:aa5343546ba7cf3b87dd1872232fe8ffa65042c179b141abac6b2b9224cdefde","observation_id":"c01664e1-f7a7-4027-a9df-d4ce69e1082b","resolution":{"observed_at":"2026-08-06T17:25:53.369190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:53.164054Z","title":"Point cloud matters: Rethinking the impact of different observation spaces on robot learning","venue":null,"work_id":"fd1394a4-a8e1-4a51-a480-0b173c58c09e","year":2024},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:44.488308Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:d359a02ac6ab6300f959cd8ca24d4d200af8bfea6777f52f150e50cbc7d57ac1","observation_id":"8f1a3950-bb30-46a4-ae6b-1ae1ecf27001","resolution":{"observed_at":"2026-08-06T17:25:53.219148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:53.077723Z","title":"Deep learning for image and point cloud fusion in autonomous driving: A review","venue":null,"work_id":"00293e8a-8d6f-4d09-a761-7c96b4b16af1","year":2021},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:44.512090Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:862644b0a9547f2598b55a4dccfc882be44a65af102b024658d6e5b123333ddb","observation_id":"d3701b06-98d6-4fb9-adbc-0d84f86843ad","resolution":{"observed_at":"2026-08-06T17:25:53.110666Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:52.977767Z","title":"Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward","venue":null,"work_id":"f5412d4e-2fdc-4cbd-b9fd-f032b7e131ba","year":2022},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:44.544195Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:c6c7094eb5fc11d77face8daa186cf027a7b32c5976aba6806c95546b2a915df","observation_id":"24012ecd-2ecb-40e0-8003-5e0386c06864","resolution":{"observed_at":"2026-08-06T17:25:53.028609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:52.828350Z","title":"Quantifying skin motion artifact error of the hindfoot and forefoot marker clusters with the optical tracking of a multi-segment foot model using single-plane fluoroscopy","venue":null,"work_id":"da7435ba-374d-4d7e-bbc6-7edc33c0f97c","year":2011},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:44.574330Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:f7d65cbe64e3e0153986c3bb7520261a33f366aaf1787aee770e3242b9ec13bf","observation_id":"59820333-8bd6-4c07-a83c-d93f73f79b84","resolution":{"observed_at":"2026-08-06T17:25:52.883871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:52.692525Z","title":"Three-dimensional cameras and skeleton pose tracking for physical function assessment: A review of uses, validity, current developments and kinect alternatives","venue":null,"work_id":"59a8d5a9-52d0-47a2-8903-95f0b6e7355d","year":2019},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:44.619488Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:0228f6e49a18dca3e69d48fc08e8222d4ab9f93877752b41dd20d80626b6ceb4","observation_id":"1eb64dcd-4eb4-40cf-8710-d0ee2d4e1f69","resolution":{"observed_at":"2026-08-06T17:25:52.769796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:52.605131Z","title":"Dynamic 3d scanning as a markerless method to calculate multi-segment foot kinematics during stance phase: Methodology and first application","venue":null,"work_id":"bb16929c-666b-4d1b-ae93-51c1b38198b7","year":2014},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:44.653374Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:9b1c1a23edbaf2915231053a3cbfd3793c3b7d6275b9a7863e9bb1be9b35af3c","observation_id":"8275657f-6a6e-451f-b55b-d5e141fa9db1","resolution":{"observed_at":"2026-08-06T17:25:52.636528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:52.508818Z","title":"Gait recognition in the wild with dense 3d representations and a benchmark","venue":null,"work_id":"28b6f002-162a-47b0-9db0-7a97942396da","year":2022},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:44.739463Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:f9e80273d6e32d179758777e12da53ff5b98a3fdd84167d4e53b31ff311b9ee5","observation_id":"4d5a8cc0-9b13-4cfd-b213-7d895f97ce6a","resolution":{"observed_at":"2026-08-06T17:25:52.553359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.12241","last_updated":"2025-03-24T21:49:29Z","snapshot_observed_at":"2026-07-06T14:08:53.562621Z","submitted_at":"2022-10-21T20:47:16Z","title":"FIND: An Unsupervised Implicit 3D Model of Articulated Human Feet","version":3},"cited_work":{"arxiv_id":"2210.12241","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.12241","snapshot_observed_at":"2026-08-06T17:25:48.406463Z","title":"FIND: An Unsupervised Implicit 3D Model of Articulated Human Feet","venue":"cs.CV","work_id":"58882f44-69ed-4b55-b83b-533e05a298e2","year":2022},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:44.843478Z"},"links":{"cited_paper":"/paper/2210.12241","citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:a8263c4acd506b2973c29d2583328f3310bf02833ae519e5d94e255e55a5b50e","observation_id":"acf48950-da24-425d-93e8-db0263f0cb9a","resolution":{"observed_at":"2026-08-06T17:25:48.482829Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:52.382419Z","title":"Found: Foot optimization with uncertain normals for surface deformation using synthetic data","venue":null,"work_id":"abe56baf-7866-4fa6-9bab-7de7ecb211b1","year":2024},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:44.979648Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:b178f039cf7d508534eda5f772f4b2393359b831d9c873294d1293c0dbc82551","observation_id":"8174c5ee-02f3-4b6f-bb51-2b81223a2fe4","resolution":{"observed_at":"2026-08-06T17:25:52.430020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:52.247236Z","title":"Pcn: Point completion network","venue":null,"work_id":"9d61e4f0-1e1a-41ce-8c02-187e9f96a13d","year":2018},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:45.116610Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:48062ed84d1810a2a22916e9ca6ae94903beeb7f33f719e8dd7c0da2cdfb8715","observation_id":"96d6318a-2f74-48c5-bc61-ca90926f5190","resolution":{"observed_at":"2026-08-06T17:25:52.318974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:45.244670Z","title":"Pointr: Diverse point cloud completion with geometry-aware transformers","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:45.244670Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:14aed61df21f55883201d74a3f792cab05f700684b9e49542872946fd629d184","observation_id":"b0caa38e-02cf-411b-9eb6-93e610bf780b","resolution":{"observed_at":"2026-08-06T17:25:45.244670Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:52.074509Z","title":"Are we ready for autonomous driving? the kitti vision benchmark suite","venue":null,"work_id":"144981c2-c3a2-4640-980c-0dd1d1d1d73a","year":2012},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:45.408207Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:eb8bbe5379e8effc905a3e5ea4c9075e2f90dcdcdb9042c07a3d72666c88c03a","observation_id":"47394764-ff32-4973-ba30-4ec51c41e84e","resolution":{"observed_at":"2026-08-06T17:25:52.144560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:51.852768Z","title":"Robustness of object detectors in degrading weather conditions","venue":null,"work_id":"7f6a3429-c99b-48c7-aad5-7d49b990827b","year":2021},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:45.481855Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:891eba1f024ac973dfe47db451b6a56838ec1b92c1a0ea4b4e21c857c4acdbf7","observation_id":"7dd2a6d9-2c3b-4a24-91d6-7249a7afa7b1","resolution":{"observed_at":"2026-08-06T17:25:51.965525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:51.653995Z","title":"Cv-hazop: Introducing test data validation for computer vision","venue":null,"work_id":"a36b10de-0d00-49b2-9207-c3bb85869b2e","year":2015},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:45.539863Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:34b1ad8e14f832696b879718611022f5f5b9e1e60ca5c270b1845263c7bd1d20","observation_id":"cff7e36b-0dac-4fd6-b21f-3b3178deb3c0","resolution":{"observed_at":"2026-08-06T17:25:51.736721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1512.03012","last_updated":"2015-12-09T19:42:48Z","snapshot_observed_at":"2026-08-07T11:28:03.211074Z","submitted_at":"2015-12-09T19:42:48Z","title":"ShapeNet: An Information-Rich 3D Model Repository","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1512.03012","snapshot_observed_at":"2026-08-06T17:25:45.614240Z","title":"Shapenet: An information-rich 3d model repository","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:45.614240Z"},"links":{"cited_paper":"/paper/1512.03012","citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:be87945b6365bf4ef88464032520ef386322716e9dc4b23dea42392606bc1538","observation_id":"ad91de2e-023d-4cbd-b7b8-7a4a82a48a5c","resolution":{"observed_at":"2026-08-06T17:25:45.614240Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:51.461416Z","title":"Scannet: Richly-annotated 3d reconstructions of indoor scenes","venue":null,"work_id":"e53f4a96-3000-4ac7-99f0-15a1ed4a2b3e","year":2017},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:45.712754Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:233ef0638e2b6fc7e6459b88dc5094b2c7eb0ff0e156324a77d586d00ca04b43","observation_id":"46008e58-672f-472d-a13f-d570026ba2be","resolution":{"observed_at":"2026-08-06T17:25:51.568101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17580","last_updated":"2025-03-11T14:53:35Z","snapshot_observed_at":"2026-07-06T19:57:24.407368Z","submitted_at":"2024-11-26T16:46:47Z","title":"Revisiting Point Cloud Completion: Are We Ready For The Real-World?","version":4},"cited_work":{"arxiv_id":"2411.17580","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.17580","snapshot_observed_at":"2026-08-06T17:25:48.227198Z","title":"Revisiting Point Cloud Completion: Are We Ready For The Real-World?","venue":"cs.CV","work_id":"208b9a3a-a030-42a1-bbf2-d253857cec8f","year":2024},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:45.806363Z"},"links":{"cited_paper":"/paper/2411.17580","citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:697a9c5caa8f219e9293002c40eaeaec9f70a3b919ab19287934513fdb34f5ee","observation_id":"9c1bcd61-05b9-4d0c-9901-f61c16d992b2","resolution":{"observed_at":"2026-08-06T17:25:48.296871Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:51.324201Z","title":"A framework for evaluating the effect of view angle, clothing and carrying condition on gait recognition","venue":null,"work_id":"a0633cd2-19ac-4416-ada6-4a270271f6db","year":2006},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:45.895363Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:68ce74b56d0666a460d0252ed492015cabd9ea96a3122d72c6c6985fcdb71838","observation_id":"90c9eaeb-b62f-4061-aa81-953bafa60b08","resolution":{"observed_at":"2026-08-06T17:25:51.373677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:51.179949Z","title":"Multi-view large population gait dataset and its performance evaluation for cross-view gait recognition","venue":null,"work_id":"7d44657d-9bed-4c54-81b5-ece0c952d2e0","year":2018},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:45.990877Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:338e54ecbdab77900446f35c7ab1c9f6acde7d0befdc8bdbc83f6ece0e46217f","observation_id":"fd290c8d-12d0-454c-8ed1-098499cfab7b","resolution":{"observed_at":"2026-08-06T17:25:51.239597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:51.018329Z","title":"Comprehensive review of deep learning-based 3d point cloud completion processing and analysis","venue":null,"work_id":"c9d8e081-d515-4b63-ae6b-1e1755c810cf","year":2022},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:46.122341Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:2a92b867eaa3db20ffef73a25e48a5499f37e401e32e26d430e164e178ff83c1","observation_id":"2140e49f-ea61-4c4b-b63b-2bf87684b15e","resolution":{"observed_at":"2026-08-06T17:25:51.101135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:50.865857Z","title":"Grnet: Gridding residual network for dense point cloud completion","venue":null,"work_id":"1da1638f-c928-4c78-845e-775651f760ee","year":2020},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:46.258321Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:50b2f4091df23daed4201e9d8578e9bf6efb689559f548f3134eaa822daed463","observation_id":"d86a773b-72f9-494c-adcc-d1e7b9de3414","resolution":{"observed_at":"2026-08-06T17:25:50.930186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:50.674866Z","title":"Progressive growth for point cloud completion by surface-projection optimization","venue":null,"work_id":"715f4c51-5b2c-4564-91ae-2cf74a31575a","year":2024},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:46.384653Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:8a4eb82716c9b3ee06e53a7725b0171f84e0f3d2acd12ef4dbd18c23322044d2","observation_id":"fdfb0568-e633-4c5a-9a31-3b976bb594f6","resolution":{"observed_at":"2026-08-06T17:25:50.759804Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:50.493575Z","title":"Anchorformer: Point cloud completion from discriminative nodes","venue":null,"work_id":"265aa80b-5aa1-4eac-beb7-2c6f2d4fcfdc","year":2023},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:46.545044Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:ed6885742d02f99c9501190feb77ee6e41850e2b53b54e313e0b2a7a2481acb8","observation_id":"8b60fdc5-8018-40a7-a93a-c1e2760ea621","resolution":{"observed_at":"2026-08-06T17:25:50.573735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:50.271007Z","title":"Point patches contrastive learning for enhanced point cloud completion","venue":null,"work_id":"bb2bd593-5133-4d6d-9257-01cf4397c2bd","year":2025},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:46.637192Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:c475ed86acb08eeb36257cfb58c722186f9bfd0c42c6258905f35bce230aaab1","observation_id":"1d18f90d-1d8e-4072-af89-82240e0708de","resolution":{"observed_at":"2026-08-06T17:25:50.384528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:50.160778Z","title":"Snowflakenet: Point cloud completion by snowflake point deconvolution with skip-transformer","venue":null,"work_id":"bbac6a29-faac-41c2-94f8-89a96cf4ffd4","year":2021},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:46.703370Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:a90a31746663e8f1405116c0cc572a5426df2ee5ddc3a3822d16eaedcfa3225f","observation_id":"d915b097-be34-495e-899c-90200e6a45f9","resolution":{"observed_at":"2026-08-06T17:25:50.212219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:50.013446Z","title":"Multi-modality consistency for point cloud completion via differentiable rendering","venue":null,"work_id":"1bf12fce-2f93-4ec4-9165-3b16ecdd4e4f","year":2025},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:46.768667Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:4e1a127d57dc970dd872ac98a9a2b6e45eb106c135385ea7d952af8e7bb5071a","observation_id":"7ccc7665-2fbf-41d1-8cf6-1679771d04b7","resolution":{"observed_at":"2026-08-06T17:25:50.079612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:49.807941Z","title":"Fast tool to evaluate 3d movements of the foot-ankle complex using multi-view depth sensors","venue":null,"work_id":"0e3d326d-ad6b-44f4-9643-cbb6071721fd","year":2023},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:46.864810Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:1dfb30bd07820f8d38dca4055f6d4307d12dfbba9875691715530d315cc842af","observation_id":"43e08a15-b6ab-4baf-aa60-652b485c7bea","resolution":{"observed_at":"2026-08-06T17:25:49.912107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:49.618597Z","title":"Object modelling by registration of multiple range images","venue":null,"work_id":"e157d6e5-34f8-4b93-ad36-f38e08c9e921","year":1992},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:46.961733Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:435ead23f42a240d0f4c1d2ecfc5e95a0592919c421adb97d5761cda37137d10","observation_id":"6dce6e7b-2108-4f42-ae55-46c33d590ed3","resolution":{"observed_at":"2026-08-06T17:25:49.715328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.12702","last_updated":"2021-11-24T18:56:27Z","snapshot_observed_at":"2026-07-06T12:11:56.886534Z","submitted_at":"2021-11-24T18:56:27Z","title":"Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.12702","snapshot_observed_at":"2026-08-06T17:25:47.093002Z","title":"Density-aware chamfer distance as a comprehensive metric for point cloud completion","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:47.093002Z"},"links":{"cited_paper":"/paper/2111.12702","citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:2b32da40fecf75f1722f582b0561b78edbd0891278fd0b29776fdebc661185d1","observation_id":"2e9bc9e2-0322-4182-8217-7bc50c6cd994","resolution":{"observed_at":"2026-08-06T17:25:47.093002Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:49.506647Z","title":"Pointattn: You only need attention for point cloud completion","venue":null,"work_id":"bcdbcbc6-5502-4d07-aa7f-c45d2bb00a96","year":2024},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:47.211788Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:6df2c3e113af26dcc31afa19da3e28b60aba54c8bb5a5f980238f47f5d4ac198","observation_id":"df8504ff-6e8a-4e55-9a58-52f3b0c63b13","resolution":{"observed_at":"2026-08-06T17:25:49.545693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:49.369232Z","title":"Svdformer: Complementing point cloud via self-view augmentation and self-structure dual-generator","venue":null,"work_id":"1d70be8e-f19d-47cd-9c44-09ab570c67b4","year":2023},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:47.354288Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:99f20100697c12b1b70e8f5ee4d24c54968196316c7452b724725977875efafa","observation_id":"9b0b2a29-8275-4a28-99cc-3e05a43831ca","resolution":{"observed_at":"2026-08-06T17:25:49.430215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:49.176512Z","title":"Pointsea: Point cloud completion via self-structure augmentation","venue":null,"work_id":"29cc053f-e7db-465c-bc7d-398d33d441d4","year":2025},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:47.516878Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:258ab9d984571a4ca4adc792f87750bdb3eaf0257924a17a454e00f8d0fdd238","observation_id":"12cc087e-b0f4-4367-becf-9b38c2c91e3c","resolution":{"observed_at":"2026-08-06T17:25:49.287283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:49.036990Z","title":"Csdn: Cross-modal shape-transfer dual-refinement network for point cloud completion","venue":null,"work_id":"2c7b8b0f-3549-4e10-a854-81b594e2a348","year":2023},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:47.705165Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:8b5bd37bcd3fb094b549d6499df9797a515704a406f6d2b4bafe85fccc3bf2bd","observation_id":"6fda49b1-83e3-4ff4-90c2-92ec350f8d17","resolution":{"observed_at":"2026-08-06T17:25:49.094124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:48.894937Z","title":"Explicitly guided information interaction network for cross-modal point cloud completion","venue":null,"work_id":"1be8e7a0-a9f7-4333-8550-8ea40e9f684b","year":2024},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:47.856229Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:a12eec6a591af708c644be952b29ec2694035786ff71e9417f856ad2a9e5d3fe","observation_id":"4c1c52b8-c497-4adc-91df-ff8e7f77a0a6","resolution":{"observed_at":"2026-08-06T17:25:48.955215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:48.711278Z","title":"Cross-modal learning for image-guided point cloud shape completion","venue":null,"work_id":"a7a6dc0a-14c2-41f5-a3bc-0ca60f971bce","year":2022},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:47.991781Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:57f54118b71549389359cf8798c173f7df42caaec584d7380dd2e631a49800fc","observation_id":"6b7d6667-68d3-4e65-836b-ba3e0454dab9","resolution":{"observed_at":"2026-08-06T17:25:48.775049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:25:48.567523Z","title":"Maenet: Boost image-guided point cloud completion more accurate and even","venue":null,"work_id":"58d0bf19-55f4-4021-834c-a2618226d728","year":2025},"citing_paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-06T17:25:48.094737Z"},"links":{"citing_paper":"/paper/2507.11037"},"observation_digest":"sha256:1cba847fc624fc594d8639173cb56297fd2dd1d63e4f63af86dabbe5a4058aa2","observation_id":"ba39345b-2e03-43e0-9914-dadfb444f8fa","resolution":{"observed_at":"2026-08-06T17:25:48.629257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.11037","last_updated":"2025-07-15T07:03:03Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T17:09:03.525686Z","submitted_at":"2025-07-15T07:03:03Z","title":"A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":2,"verified_fuzzy":43},"total_outbound_references":48},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2507.11037."}