{"as_of":"2026-08-09T20:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6017274f6a74195b769ca50ce84561aa9841e3e6034b7b23b788aa1155216364","coverage":[{"denominator":43,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":43,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T13:08:22.860286Z","state":"measured"},{"denominator":43,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":43,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2606.11450/citation-record","integrity":"/paper/2606.11450/integrity","json":"/paper/2606.11450/citation-record.json","paper":"/paper/2606.11450"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"S-jepa: A joint embedding predictive architecture for skeletal action recog- nition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:44a0b6593eb08f86ffbc76e3cfc29d28305c6efda6021a3a9fdc2588e6e81cb0","observation_id":"61fc6db2-053b-4526-95f2-8459bb30e7ab","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Vi- creg: Variance-invariance-covariance regularization for self- supervised learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:5227cb119dfc356231eeb73c78d239f3b340c8ca59cf2d4b2e422f261fc7aebd","observation_id":"4c269091-508a-445a-bf14-435aa60f9414","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Hi- erarchically self-supervised transformer for human skeleton representation learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:b665b25688c2f40fdd1b4a55586ab7d41fd1f9d6b5020f8ef012101d9158e9dd","observation_id":"dd13efd8-35ac-46c2-9cbe-99fb47382d03","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Skeleton-based action recognition with shift graph convolutional network","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:c058934ee73eda2b18dedfb6db2cdb1c23f98317541d2605234aa11ba0e10f76","observation_id":"e3349df0-2f29-454a-9d45-eaada08d3545","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Hierarchical transformer: Unsupervised representation learning for skeleton-based hu- man action recognition","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:6c1ca9df52313b398cfd4ef0026d7500094c02ec53ae04b63b1e4c8983881a66","observation_id":"2fb0b680-8c1c-499d-b2cc-ca6594bbdb78","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Hierarchical contrast for unsu- pervised skeleton-based action representation learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:d6b3e1fa9b4ce6e83792fb42aae783ce192117991987d49879fee21ee3c26dad","observation_id":"c8138792-7c43-439c-a090-f4186b382123","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":"2010.11929","doi":"10.1175/jcli-d-22-0357.1","metadata_source":"pith","pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","venue":"cs.CV","work_id":"e96730e3-129b-4db6-b981-15ab7932e297","year":2020},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:0ebc7fba26847a707ae4b8df1aa0242a9dced87e7a3e9099d59aa7e04be60a69","observation_id":"6b151920-bec2-4647-a7fd-578191450d76","resolution":{"observed_at":"2026-07-03T05:47:40.944272Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.06242","last_updated":"2023-03-10T23:22:41Z","snapshot_observed_at":"2026-07-06T15:01:30.019542Z","submitted_at":"2023-03-10T23:22:41Z","title":"HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations","version":1},"cited_work":{"arxiv_id":"2303.06242","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.06242","snapshot_observed_at":"2026-07-03T05:47:40.948087Z","title":"Hyperbolic self-paced learning for self-supervised skeleton-based action representations","venue":null,"work_id":"292cb823-744c-48e8-b9d9-cd9914cd37df","year":2023},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"cited_paper":"/paper/2303.06242","citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:a81eea9c9696d38f8752be5bb3e55928bbabdc8952019c1f13459dc4f6b00571","observation_id":"f898bff8-1da0-43f9-840b-ac9236fb6510","resolution":{"observed_at":"2026-07-03T05:47:40.949706Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-06-27T13:08:22.860286Z","title":"Rethinking masked data reconstruction pretraining for strong 3d action representation learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:d1afecb2626baab5aae2d189e1a7edcd789b3898be8ca1872762f4d48d7d2f34","observation_id":"487f06a8-8b60-483d-8477-5c8664fc500d","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Contrastive learning from ex- tremely augmented skeleton sequences for self-supervised action recognition","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:3dca515f7348410f8ac3429cb35cb3ed69ed5a3bafa0de3d3cc638cdc5547590","observation_id":"ea5ff4b4-dc9a-441c-9506-3c27c0f1e877","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Momentum contrast for unsupervised visual rep- resentation learning","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:8648ad5287f635562677a5d825545aac7e829ba013e05c937056672667a8b020","observation_id":"2092a86d-6c15-4144-bb28-6a33a0981b54","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Masked autoencoders are scalable vision learners","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:7e375529f81258bed5fd277e26cca3899331553fde40b62acb0faab07a108fde","observation_id":"aae5633f-de0b-453e-83b5-7d7fa428f9f5","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Part aware contrastive learning for self-supervised action recognition","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:a47d0a6f1120a659ba8a7f48ddaab88083ff9feb2dfbc7c66cc6481a8e60bc09","observation_id":"d872e069-8672-4dd4-a421-a7ddc09d6c37","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Global-local motion transformer for unsupervised skeleton-based action learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:eb1578def14aabee4e4afa0cb351c845b22a8fd4287c1c896658b7690aa2207b","observation_id":"e00fdf3b-37ef-4332-a623-f69211d21a44","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Unsupervised feature learning of human actions as trajectories in pose embedding manifold","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:02e39c6d02de8ef2daae43db1440017b9ac4f2e09a485cf6382796c582269cde","observation_id":"3bf7e77c-c1b4-4e64-a2c9-0eba55bc59b6","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"3d human action rep- resentation learning via cross-view consistency pursuit","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:6c79250bdf8b77b6cd746be3cfae3289fc27ba91fff122fb82210843158fbcbe","observation_id":"901bb265-c0a5-41ff-8d98-cc89fb9a6dab","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Ms2l: Multi-task self-supervised learning for skeleton based action recognition","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:fc0fffc9794ad2bca54ce0aadf7e3dd8d1ccafb91451b14254875481af2425d9","observation_id":"9b648ef4-af09-4678-bab8-b6e2f8e25038","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Actionlet- dependent contrastive learning for unsupervised skeleton- based action recognition","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:0df9f8201904f4d2e7a03a751b5443ddf40ed8ae9c3561654ae5c19e87120db4","observation_id":"67b98b1d-6274-4c3f-98a9-72c1de20fbb6","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Ntu rgb+d 120: A large- scale benchmark for 3d human activity understanding.IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(10):2684–2701, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:b1f0acdaf86bf445bbfc8d8ff086bf8eb811971f43070e26b2376c41b8c300d9","observation_id":"76df874a-77b1-4365-9362-3d94eb34a7c7","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"A benchmark dataset and comparison study for multi-modal human action analytics.ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 16(2):1–24, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:f68e7b975d9303754121cb85e17dae986081d5aa74963a81972a2cad4f5c3eeb","observation_id":"b8e7e38b-f46b-45da-aa46-091cf2010f65","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Cmd: Self-supervised 3d action representation learning with cross-modal mutual distillation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:32fa1e817773f47ef695ae735ca9bd702aa6f80a2181485416c8af1947f7e702","observation_id":"2b596306-036b-4262-ac0a-ab742524372d","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Masked motion predictors are strong 3d action representation learners","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:976e6c66272662b2c88817a767cef04e8e951170cc319b7956c22054c73a8e8e","observation_id":"eab883ff-517a-4545-a255-7dbfcc586311","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Unsupervised 3d human pose representation with viewpoint and pose disen- tanglement","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:850c3d12350c34c54e81473032b95e34f54c77f0bec1a45cc7fe5fddcd19fc96","observation_id":"f354c8f4-15a8-4015-95ed-743cae894b73","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Augmented skeleton based contrastive action learning with momentum lstm for unsupervised action recognition","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:aea895e59f5af4363c54a63f51ee027cb3de0a50211d9b5e883430aa5f4049bf","observation_id":"cec19f95-4193-4b48-b8d4-28bf5bd7caa5","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Halp: Hal- lucinating latent positives for skeleton-based self-supervised learning of actions","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:f72c9fa0a33f2a6615b463aae3fff8221168bbd51ab5a4c57d1c84d32f6b9264","observation_id":"299d6953-830d-4ae9-b8a8-34b7e5bb44bf","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Ntu rgb+d: A large scale dataset for 3d human activity anal- ysis","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:99e0a3c888fd2f73157362b5ab3018670be773f94644270c2edf37e9cc59fb64","observation_id":"970f9503-dce1-4d00-9d59-480c769488a9","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Adversarial self-supervised learn- ing for semi-supervised 3d action recognition","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:c4b45ce17ce72785c59166c546983d5baf71ecad5eecd76f56440a9878df500f","observation_id":"b28b2efc-bdea-4e5b-9bdd-17683010db1b","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Predict & cluster: Unsupervised skeleton based action recognition","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:729109a95f563c5066ea066e17d765c055f8bff4be0fecd5328c034ffba6f1a2","observation_id":"1fffd301-8807-4848-b890-83396c3c5725","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Uni- fied multi-modal unsupervised representation learning for skeleton-based action understanding","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:39a07e909c91d6d98dc0392b02e47c8bb177537cdccbff12e3646563220d6cae","observation_id":"702faef7-6f8b-44a8-8155-6c43cb0b141d","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Towards efficient general feature prediction in masked skeleton modeling","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:50987170a83249252f1ea5b13a1ee02d78fbabc97e367574b84b1701b98d3c10","observation_id":"88562ce1-24c5-4d3b-bedd-dce30689464a","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Skeleton-contrastive 3d action representation learn- ing","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:6e6c226ab4a4bc68eb3274c4607974e1e9aa6438bcb19837edaca0f1cc53cc90","observation_id":"1647ca41-cb65-415e-8882-7beea7a2e68c","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Heterogeneous skeleton-based action representation learn- ing","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:e290e0e5e7887d21c405e32ba42327c1772326307dfb3d8fb915ce21bdb39993","observation_id":"5e9ebbbc-8b2e-4ae8-85db-7dc0f53d9098","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Videomae v2: Scaling video masked autoencoders with dual masking","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:3b84a53ead08f5f511da41abed6ad9d84aa64ac4d34f0e076c4e47747aa4270e","observation_id":"f1b656cd-5326-417d-9deb-3eb6c27d86e0","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.09220","last_updated":"2024-12-14T05:42:51Z","snapshot_observed_at":"2026-08-09T18:02:10.142440Z","submitted_at":"2024-12-12T12:20:27Z","title":"USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation","version":2},"cited_work":{"arxiv_id":"2412.09220","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.09220","snapshot_observed_at":"2026-07-03T05:47:40.945492Z","title":"Usdrl: Unified skeleton-based dense repre- sentation learning with multi-grained feature decorrelation","venue":null,"work_id":"b2820d2c-08e5-4cdd-988d-1044f6e1fe5d","year":2024},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"cited_paper":"/paper/2412.09220","citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:29745c0bc657321d88c8eece84d4276fe5d70b38188d8c1666160120edd89881","observation_id":"d47d9a0f-6938-4e9e-969e-c193f9d17670","resolution":{"observed_at":"2026-07-03T05:47:40.947023Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-06-27T13:08:22.860286Z","title":"Skeletonmae: Spatial-temporal masked au- toencoders for self-supervised skeleton action recognition","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:01c32828a7840eaa883d05f9ff80f979c5f6e6daee6995812db27e1b98582d89","observation_id":"d2bc17df-6a36-441b-b0c0-74fb3bd7ea04","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Deep image clustering with contrastive learn- ing and multi-scale graph convolutional networks.Pattern Recognition, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:7d99520a635f54cd4f8261a69e666d86f59a5d8f4a4d81286c43a179a56c7816","observation_id":"96ff6bfb-85ac-4a63-af3f-40f451522b85","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Spatial tempo- ral graph convolutional networks for skeleton-based action recognition","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:9a0da5e3e1001aac330e1e1a6696999f5095394e8ecd1fc40067dbe7e6597ae3","observation_id":"1b2f179c-264b-4500-ba48-f377720eba50","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"View- invariant skeleton action representation learning via motion retargeting.International Journal of Computer Vision, pages 1–16, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:a0e8c69834306a7f28d91af4cf77ad3d4937eb9cc7d9b57837b828d44918831c","observation_id":"0589a0d7-c494-4c34-a88e-67d5363679d6","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Skeleton cloud colorization for unsupervised 3d action representation learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:df5a9671fad8e56994fb8f04ef2250bfc7f70c56c05b8010b190d31a12bfb0c2","observation_id":"938950d3-c2fb-4054-a923-57525b85bf65","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Self-supervised 3d action representa- tion learning with skeleton cloud colorization.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:18718de029de5cf1eb2bc74cb089997f33d7d0966ef4c36d63fa47cae767f703","observation_id":"7e438ed9-0ee7-42d2-827a-3c4dfa1301cd","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Contrastive positive mining for unsupervised 3d action representation learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:8b985a6b5993266dd67fc1cbc3bab5aa9a3c0bd5c4576a59aa0008d663d15682","observation_id":"ff7c8bdb-b4b9-4ea0-a8dd-f2d7376695f5","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Prompted con- trast with masked motion modeling: Towards versatile 3d ac- tion representation learning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:022a379f73d46316997e6ad7cf35d1be536e536c2dc4d64001432e3aef4a836b","observation_id":"7be39912-7f41-4269-bd82-3cd4f724d97e","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:08:22.860286Z","title":"Unsupervised representation learning with long-term dynamics for skeleton based action recognition","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-27T13:08:22.860286Z"},"links":{"citing_paper":"/paper/2606.11450"},"observation_digest":"sha256:1815cf4806b47b654623a7843f532c6fdc82f24360cf1badea5f8e98d9651bea","observation_id":"a5eeb501-16b3-4075-8d6f-888228c1465d","resolution":{"observed_at":"2026-06-27T13:08:22.860286Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.11450","last_updated":"2026-06-09T21:03:28Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T23:50:30.023802Z","submitted_at":"2026-06-09T21:03:28Z","title":"Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition"},"reference_resolution":{"displayed":43,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":40,"verified_exact":3,"verified_fuzzy":0},"total_outbound_references":43},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2606.11450."}