{"as_of":"2026-08-07T15:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3cd8440313461aff55f914acf61d1de554680a4b8b448cba8364e00b83e7471b","coverage":[{"denominator":52,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":52,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T10:15:33.304753Z","state":"measured"},{"denominator":53,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":53,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T12:27:42.014813Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T12:27:42.078423Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"cited_work":{"arxiv_id":"2508.08280","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.08280","snapshot_observed_at":"2026-08-06T12:27:42.078423Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","venue":"cs.LG","work_id":"6c7fe318-6b52-4cb5-b1c3-9d6889e9fda4","year":2025},"citing_paper":{"arxiv_id":"2508.08269","last_updated":"2025-07-29T12:49:57Z","snapshot_observed_at":"2026-08-06T16:18:13.439337Z","submitted_at":"2025-07-29T12:49:57Z","title":"emg2tendon: From sEMG Signals to Tendon Control in Musculoskeletal Hands","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:42.014813Z"},"links":{"cited_paper":"/paper/2508.08280","citing_paper":"/paper/2508.08269"},"observation_digest":"sha256:c1672469f5c4071fdcc9805b3453301375366ebc383511e955052233cf640011","observation_id":"d2f7dd37-84e6-4290-9c7e-108002868a07","resolution":{"observed_at":"2026-08-06T12:27:42.088909Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2508.08280/citation-record","integrity":"/paper/2508.08280/integrity","json":"/paper/2508.08280/citation-record.json","paper":"/paper/2508.08280"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T10:15:34.023681Z","title":"L.; et al","venue":null,"work_id":"b4daca9a-2009-4c16-a90b-03a72393283a","year":2013},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:31.726421Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:8c5272c12c98e088ee8bf759085105c92cd1097535bb69499bfdc0ac7274254a","observation_id":"9493c167-50ec-4368-a1f8-50232e88db2d","resolution":{"observed_at":"2026-08-06T10:15:34.028056Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.01271","last_updated":"2018-04-19T14:32:38Z","snapshot_observed_at":"2026-07-06T06:26:27.965096Z","submitted_at":"2018-03-04T00:20:29Z","title":"An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.01271","snapshot_observed_at":"2026-08-06T10:15:31.774213Z","title":"Z.; and Koltun, V","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:31.774213Z"},"links":{"cited_paper":"/paper/1803.01271","citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:707f639604d205e5bc42765d9583a79c7a869a23697fd308d4a09567accb9436","observation_id":"c5fed856-d0fa-4e91-8c01-44a10e7a24df","resolution":{"observed_at":"2026-08-06T10:15:31.774213Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.04732","last_updated":"2022-03-15T16:42:38Z","snapshot_observed_at":"2026-08-06T00:12:34.401176Z","submitted_at":"2021-06-08T23:39:12Z","title":"AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.04732","snapshot_observed_at":"2026-08-06T10:15:31.865753Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:31.865753Z"},"links":{"cited_paper":"/paper/2106.04732","citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:588412cab9ddad2ddc2e7f8efd4252848fdd5c1513c18ad68706a0199c00b866","observation_id":"4220eb6d-c6df-4edb-b327-912108478ba0","resolution":{"observed_at":"2026-08-06T10:15:31.865753Z","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":"2026-08-06T10:15:34.009833Z","title":null,"venue":null,"work_id":"736b5d73-f6d0-404a-8d3c-2c37d2d2fb75","year":2024},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:32.004195Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:63e545406612d1bbd068be4d8db1cc069632ab03efdfebf1cc18cc47823dc114","observation_id":"77275a30-6fd0-4141-ad36-67b31bf61450","resolution":{"observed_at":"2026-08-06T10:15:34.013928Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.996434Z","title":null,"venue":null,"work_id":"e33090c0-5eca-47cc-9052-35939e679aa1","year":2020},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:32.107883Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:0e72eb3d16546fb5f277705d8c87253bc49b76c9a769c3f05f176e440c977bb5","observation_id":"6dd4e603-5b2d-45ff-8a83-52cee1820944","resolution":{"observed_at":"2026-08-06T10:15:34.000283Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.982757Z","title":null,"venue":null,"work_id":"77462fd0-5c86-45f4-adeb-a8d72eba746f","year":2022},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:32.187316Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:af2b77cb9619647c6d93e3467fe39c39bddc8262a2a6f878cec9752f8014d6e9","observation_id":"c53dd723-651e-456e-b76e-5c10a503f5e0","resolution":{"observed_at":"2026-08-06T10:15:33.987151Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:32.238984Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:32.238984Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:49d5e30004c09fa0ffb93717e3d77538118c462d5b021073838f2f246c636815","observation_id":"faf36f11-30ad-42a2-b161-5637efd95f0b","resolution":{"observed_at":"2026-08-06T10:15:32.238984Z","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":"2026-08-06T10:15:33.959539Z","title":null,"venue":null,"work_id":"9aec966d-b354-4015-9d75-a673d3eb7886","year":2024},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:32.371362Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:22cf2d4cae6deb7ce8858048e13e3eefdd029ce0015794201d0992faabaef765","observation_id":"bf985aa7-e8f2-4dc5-a715-640605ec2bab","resolution":{"observed_at":"2026-08-06T10:15:33.963887Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.945461Z","title":null,"venue":null,"work_id":"c3620bce-47a3-4452-89e9-e37ec7e412ae","year":2014},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:32.488414Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:ca2d6e4b88ae106df34494805311ca8e01ed708ca30bf802221ab8b6b2664ce6","observation_id":"f16226b7-d0e3-46dc-8564-9aac4b4bdcf8","resolution":{"observed_at":"2026-08-06T10:15:33.949568Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11269","last_updated":"2025-09-07T05:07:44Z","snapshot_observed_at":"2026-07-06T18:01:31.890965Z","submitted_at":"2024-04-17T11:20:14Z","title":"DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series","version":4},"cited_work":{"arxiv_id":"2404.11269","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.11269","snapshot_observed_at":"2026-08-06T10:15:33.436279Z","title":"DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series","venue":"cs.LG","work_id":"5d593b9e-a7c2-4313-954e-4e1d264a7abb","year":2024},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:32.544584Z"},"links":{"cited_paper":"/paper/2404.11269","citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:32132cf0e656a873b5e56484328d57bea09b94cdf55e34f87675ab5807f42a35","observation_id":"dd2f4670-a5f8-40bf-8ca0-54412f5a6061","resolution":{"observed_at":"2026-08-06T10:15:33.440885Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.931131Z","title":null,"venue":null,"work_id":"a684a5b2-af39-4f1f-a7a1-fcaa142627da","year":2021},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:32.617614Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:84143ea2e89b230db77d2ad376a10dca8de9d42430c7b94a93d740ac0f48a61a","observation_id":"744834d0-fad1-43e1-843d-357a620fad6f","resolution":{"observed_at":"2026-08-06T10:15:33.935778Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.917657Z","title":null,"venue":null,"work_id":"83690f47-a727-48cc-957f-95baa713112d","year":2023},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:32.717295Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:049402e3f6ca24ca261bd7cd8dd773b3f8b866647124dac08f4f716e748df614","observation_id":"c18a7735-4f4a-48e9-84e1-bd6301268d5e","resolution":{"observed_at":"2026-08-06T10:15:33.921695Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.14112","last_updated":"2021-06-26T23:56:31Z","snapshot_observed_at":"2026-07-06T11:23:26.988614Z","submitted_at":"2021-06-26T23:56:31Z","title":"Time-Series Representation Learning via Temporal and Contextual Contrasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.14112","snapshot_observed_at":"2026-08-06T10:15:32.897799Z","title":"K.; Li, X.; and Guan, C","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:32.897799Z"},"links":{"cited_paper":"/paper/2106.14112","citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:2993f20ab7b19c5b19bb22d8a23069a5665a22abe1bd73e5e1837b989e143542","observation_id":"7aa472e5-f0e1-41aa-991b-c2ab893ded53","resolution":{"observed_at":"2026-08-06T10:15:32.897799Z","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":"2026-08-06T10:15:33.904166Z","title":null,"venue":null,"work_id":"ebf2deee-50c2-4953-a187-cdd15dfc30e0","year":2022},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:32.961096Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:a332e9390ce08db3d36871480b9c180e3e41559afeea3e631916185611e7e31c","observation_id":"7c9593b1-3a5d-4039-93bf-5613772b685b","resolution":{"observed_at":"2026-08-06T10:15:33.908064Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.00567","last_updated":"2020-10-01T17:38:40Z","snapshot_observed_at":"2026-07-06T10:00:35.764160Z","submitted_at":"2020-10-01T17:38:40Z","title":"Deep learning for time series classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.00567","snapshot_observed_at":"2026-08-06T10:15:33.029952Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.029952Z"},"links":{"cited_paper":"/paper/2010.00567","citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:ec225007468290a498639ea73b20910ab824bb661c0f5bf3be6c956fc8e30802","observation_id":"ed17d033-9252-4fc9-ba6f-e1fd72b958c0","resolution":{"observed_at":"2026-08-06T10:15:33.029952Z","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":"2026-08-06T10:15:33.890341Z","title":null,"venue":null,"work_id":"45df0656-b786-4ffa-9834-4a145e01e821","year":2015},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.115675Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:f5d620271e6ac569e45e183a8192ae0aa0d5009c199c99d9248e5a0fe44e0a49","observation_id":"643f2cba-a943-4722-98ab-27503682ceb4","resolution":{"observed_at":"2026-08-06T10:15:33.894399Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.161872Z","title":"L.; Amaral, L","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.161872Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:07cef7bafd9230b585014122b49b77462bf3fd72ca9cf66d80dd47f545e3d011","observation_id":"ce1b32c6-6d49-4b4a-84d6-4db48bb8bf0d","resolution":{"observed_at":"2026-08-06T10:15:33.161872Z","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":"2026-08-06T10:15:33.865800Z","title":null,"venue":null,"work_id":"7ec7bb84-8852-438b-9a36-c693e09c5152","year":2020},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.170577Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:f3abd3859ae46e24bf89ebafefc79cbf6a708329e9e32413b148c74b042be598","observation_id":"daf88618-1aee-4531-9bba-1994bde483ac","resolution":{"observed_at":"2026-08-06T10:15:33.871181Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.852217Z","title":null,"venue":null,"work_id":"71ea7148-7d88-456b-9730-808b05fe2e41","year":2023},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.175180Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:682672db195857432f4e47a8856a7fbda0262ec7923c3acb7dbdbf079f05910e","observation_id":"91fd7c7b-9450-4eda-9b3b-120e7927fb10","resolution":{"observed_at":"2026-08-06T10:15:33.856223Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.179446Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.179446Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:86dabe1a8680651f05f60ddb2037c021b5b92573aefc6d92e1711db798759d78","observation_id":"ebff3fc0-ce05-47eb-8c6b-55b369a6b35d","resolution":{"observed_at":"2026-08-06T10:15:33.179446Z","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":"2026-08-06T10:15:33.183399Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.183399Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:a64fb9b95e7a41c2bcbf12dca785f750674562e4b50c13ab2f75abfd63d34651","observation_id":"fa5e9afe-9af2-4f79-8920-7351c97bd1c4","resolution":{"observed_at":"2026-08-06T10:15:33.183399Z","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":"2026-08-06T10:15:33.819971Z","title":null,"venue":null,"work_id":"a758e049-e416-4a26-8a48-54aa3d066755","year":2023},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.187240Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:fc11103e94ab525245d9e48f9ee8a0a3c5d73b7a6a383474e1c892572e30a28a","observation_id":"e26f55eb-7aaf-458c-b28c-42216ee7fe48","resolution":{"observed_at":"2026-08-06T10:15:33.824088Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.806838Z","title":"V.; and Zhang, Z","venue":null,"work_id":"d85be324-0ea5-4498-ad43-dde0392da359","year":2024},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.190954Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:058df2dc50b855712cf73f1dcf18c6713937bb023af48c184c514a521b69eb61","observation_id":"5f94ffa8-9226-40c1-894e-bcb40fe38639","resolution":{"observed_at":"2026-08-06T10:15:33.810835Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.793197Z","title":null,"venue":null,"work_id":"d241b38d-081f-4402-b60c-d4873b275911","year":2022},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.194752Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:d4d0ebc4579a32700221fe7a8dd3be7b0374ad960c456ab096df46f510a1f0e9","observation_id":"151e2326-25b1-4b0f-8b49-df25fccbcceb","resolution":{"observed_at":"2026-08-06T10:15:33.797335Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.198427Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.198427Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:c0c1133d55035607dca0ba8a802e0154c9ea857e67dc4224b861df374803640c","observation_id":"c0d083e1-a500-49ab-9534-dc5ee7ca9b07","resolution":{"observed_at":"2026-08-06T10:15:33.198427Z","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":"2026-08-06T10:15:33.771335Z","title":"H.; Ngo, B","venue":null,"work_id":"f8b929af-a534-4e8f-98c1-f705f1d5d7db","year":2022},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.202313Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:eac88e03086d46eaf4a37adb378bdf22953559792670a74835848e8625c30b2f","observation_id":"91cfde1c-c9e8-41bf-bcf5-a47275bc2543","resolution":{"observed_at":"2026-08-06T10:15:33.775154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.758117Z","title":"R.; Weiss, G","venue":null,"work_id":"6469a950-c325-48e8-998a-16ed0c9aae42","year":2011},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.206392Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:6017bfdccd7711e5a9a3834ba333948851ab8843eca1af300010b0807c510e4b","observation_id":"e56fd179-5191-4cf1-9922-2e4c1e5b5391","resolution":{"observed_at":"2026-08-06T10:15:33.761785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.745542Z","title":"K.; Zimmer, D.; and Sextro, W","venue":null,"work_id":"3cdc93c8-791e-4f3a-ae55-6f0441b82673","year":2016},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.210240Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:39f2a03efe1101b981cbd93c9c43fd772b9aa11b44e50cda3f41a769f8bde781","observation_id":"f31288be-788b-4e6d-b4cc-e1a53b712012","resolution":{"observed_at":"2026-08-06T10:15:33.749556Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.732194Z","title":null,"venue":null,"work_id":"297a2e30-bf7e-42a6-9734-9fbcfdbbde4a","year":2021},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.214122Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:f3971683dc5a53598a18351aaea7a8e7eb47c75865643d2e1afdb019577e3795","observation_id":"e32ed751-321c-44e3-813c-3a095cf3efd4","resolution":{"observed_at":"2026-08-06T10:15:33.736283Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.718998Z","title":null,"venue":null,"work_id":"c728e68d-5150-4be1-a7c7-81c005c823d0","year":2021},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.217786Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:59f5d5f8165b52f01887e760c7419eb317aa7182dc9365e8541d03b3a545d998","observation_id":"7f768598-f423-4d54-8c7d-bbc91e7143be","resolution":{"observed_at":"2026-08-06T10:15:33.723095Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.705441Z","title":null,"venue":null,"work_id":"0d0c33c5-fed8-402d-98c8-1e628a628df8","year":2021},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.221571Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:bae3bfbc4cb80de676f0d91d0e2ce548bb86874f787d5285969cf538dc92bfec","observation_id":"e02e3ff6-fa2e-44c5-81f2-5e58dd196605","resolution":{"observed_at":"2026-08-06T10:15:33.709346Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.691764Z","title":null,"venue":null,"work_id":"eb576836-cac3-4912-9b3c-fb9f3b99d8fe","year":2021},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.225330Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:a527f53aac35ac27c646037dcf15b0cbe5e5452eb0b99eb4d9d3a1fc71c23789","observation_id":"eca62e32-7401-41d8-93bc-3fe4129c417e","resolution":{"observed_at":"2026-08-06T10:15:33.695675Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.678858Z","title":null,"venue":null,"work_id":"f6b7fe5a-c375-443a-9c5b-7d0056478228","year":2018},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.229148Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:ea6c2947d3efce5286c9cf317152c7bec871b098da729adbd5fc81de41b051e8","observation_id":"98d1133c-917a-47d0-bb63-75a5e4065e42","resolution":{"observed_at":"2026-08-06T10:15:33.682893Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.12727","last_updated":"2021-11-26T20:37:09Z","snapshot_observed_at":"2026-07-06T10:36:53.924176Z","submitted_at":"2021-01-29T18:40:17Z","title":"Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency","version":3},"cited_work":{"arxiv_id":"2101.12727","doi":null,"metadata_source":"pith","pith_arxiv_id":"2101.12727","snapshot_observed_at":"2026-08-06T10:15:33.381956Z","title":"Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency","venue":"cs.CV","work_id":"0421ff8c-31f8-4e0f-ba3f-badb56a4832c","year":2021},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.233096Z"},"links":{"cited_paper":"/paper/2101.12727","citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:e63c27b63b50cb6a0b9fe19f93cb5f9c0c66e4a78568e5706d81c929a3f6c6e7","observation_id":"a11e445b-26db-4a1b-95f0-b3109df0578c","resolution":{"observed_at":"2026-08-06T10:15:33.388252Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.664776Z","title":null,"venue":null,"work_id":"38563e13-4107-4d83-99ee-93d2cf014ade","year":2022},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.237521Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:c2a6d337e174cfdbb8fc0f575d973e9b15e418d1ddbd5bb0ae6010ee79aaeab2","observation_id":"413cee40-cc20-4a71-99cf-c19aeb355222","resolution":{"observed_at":"2026-08-06T10:15:33.669226Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.651141Z","title":"L.; Foo, C.-S.; Chen, Z.; Wu, M.; Kwoh, C.-K.; and Li, X","venue":null,"work_id":"3b903c9e-62bb-4697-865f-9136a864c953","year":2023},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.241446Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:5f9193e1a1489cd73d9647754a7658a099a794ad041d4f7d7c60fef124b7f698","observation_id":"17cf0172-9696-4fdb-aa72-ecfd41463f60","resolution":{"observed_at":"2026-08-06T10:15:33.655245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.638015Z","title":null,"venue":null,"work_id":"4f5d3130-7f30-4074-9075-6916c74b285e","year":2019},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.245565Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:3a55709da126fb228f46b6933e57d0978bf63c2e304d1c58ea398355417461f3","observation_id":"15104c7c-e44f-44d2-8503-53479c7b4a30","resolution":{"observed_at":"2026-08-06T10:15:33.642152Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.624653Z","title":null,"venue":null,"work_id":"caddcc99-36fa-4b86-9d82-531f8aa769b1","year":2022},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.249532Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:7fe1f330998b21f2612acf5d2c2a2b2aac82671a4a08d60cb4e93669d42511b1","observation_id":"e6a7f6b9-e115-489c-9ef2-f52b3f3753a4","resolution":{"observed_at":"2026-08-06T10:15:33.628797Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.08735","last_updated":"2018-03-19T13:45:46Z","snapshot_observed_at":"2026-07-06T06:25:07.039294Z","submitted_at":"2018-02-23T20:57:28Z","title":"A DIRT-T Approach to Unsupervised Domain Adaptation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.08735","snapshot_observed_at":"2026-08-06T10:15:33.253373Z","title":"H.; Narui, H.; and Ermon, S","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.253373Z"},"links":{"cited_paper":"/paper/1802.08735","citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:61948e83184770b21bc7eb9a98aa4f7e45acff662a73e7996f12b09974a33a87","observation_id":"8efb71b0-5203-4536-94f3-88efa0e0a5f1","resolution":{"observed_at":"2026-08-06T10:15:33.253373Z","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":"2026-08-06T10:15:33.610573Z","title":null,"venue":null,"work_id":"085d32cb-150a-49e6-b2db-8c41f54372ea","year":2021},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.257454Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:1b702c40995d14bf1519ce0e1821dcacce0b8170afe3692ff1c6703f6303e4c6","observation_id":"0006eda9-9388-48b0-91d0-c73c314647d2","resolution":{"observed_at":"2026-08-06T10:15:33.614434Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.597142Z","title":"S.; Kj rgaard, M","venue":null,"work_id":"7e546be0-8cbb-4ab0-a38f-bb3f9e662ca6","year":2015},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.261501Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:b829cd14261840d9b81443a15783b2d1de38ac72c170995fd703b8c8bce6c1b6","observation_id":"bfd1254c-9304-4f74-8b4a-3c141396a159","resolution":{"observed_at":"2026-08-06T10:15:33.601117Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.583590Z","title":null,"venue":null,"work_id":"12caf914-aa89-4a86-81a5-52e01cbafb29","year":2024},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.265911Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:14d3fc88531b8f251b9acf74e91d663c6b60c95cc2e4413a5561212dc8c53110","observation_id":"9e177f8e-c8c0-4f49-b301-e2934a1bb67c","resolution":{"observed_at":"2026-08-06T10:15:33.587792Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.569309Z","title":null,"venue":null,"work_id":"2135ed6e-8a16-492c-a8e9-4c0eed5cff8b","year":2020},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.270243Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:4e860988c9169d416c9f5d5ad87fb2e1132c856e21c9cfa18ea53dd2eeadeb48","observation_id":"b3cb9a80-987f-4c3d-967c-903ae2b57264","resolution":{"observed_at":"2026-08-06T10:15:33.573728Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.273921Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.273921Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:029f5c79f116bf4d6234ca197b42a2c6a851b12d0834d6e8fccc13e7cdf0dc42","observation_id":"d8a58ac2-b618-4eca-a9b7-682d2ec20408","resolution":{"observed_at":"2026-08-06T10:15:33.273921Z","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":"2026-08-06T10:15:33.554361Z","title":"I.; Samek, W.; and Schaeffter, T","venue":null,"work_id":"24734ae6-0a94-459a-9792-7a8728475dd3","year":2020},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.277849Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:c06267a5cb25528e8b7491df42f3dc17138f3f646dee0fafac1d581ba13b8808","observation_id":"d1dd345f-3033-4b9c-8f6c-f96e399ba923","resolution":{"observed_at":"2026-08-06T10:15:33.558501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.540236Z","title":"R.; and Cook, D","venue":null,"work_id":"ec9e55a0-cded-4c3f-a357-157817218936","year":2020},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.281517Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:7be90c5f5f7f92ecde2c451fe99326bceffc32f6bcf2ab5a3dbe6049f0d47ba4","observation_id":"701930c0-d8db-4b5b-98cc-004f6dc224eb","resolution":{"observed_at":"2026-08-06T10:15:33.544530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.526819Z","title":"Q.; Chao, W.-L.; and Lim, S.-N","venue":null,"work_id":"b2bfa988-81e0-4340-9b5a-40438bd9bc1a","year":2021},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.285134Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:71b9a143394aefea955688b84e6bce142af85cdd0175a79ad71f4c8ca5fbb95e","observation_id":"078e24a7-cd9b-490e-9e19-7093eb0c48a2","resolution":{"observed_at":"2026-08-06T10:15:33.530723Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.513374Z","title":null,"venue":null,"work_id":"c615c77a-f1a1-4928-bf50-03a13fec5be9","year":2022},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.288902Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:4b87f6c846954062b506cef806245e3ee80480fe2e5a83c35edd84727444aa89","observation_id":"8f192075-2848-4bb6-8235-a2848fbefa0e","resolution":{"observed_at":"2026-08-06T10:15:33.517409Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1710.09412","last_updated":"2018-04-27T21:39:25Z","snapshot_observed_at":"2026-07-06T06:06:04.571585Z","submitted_at":"2017-10-25T18:30:49Z","title":"mixup: Beyond Empirical Risk Minimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.09412","snapshot_observed_at":"2026-08-06T10:15:33.292435Z","title":"N.; and Lopez-Paz, D","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.292435Z"},"links":{"cited_paper":"/paper/1710.09412","citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:dc9f049382129199b74be63a08406bc2998fa5493fc47d88161ddd0d7d6e4002","observation_id":"a316d788-e809-4882-a6ed-2e07cd5c9718","resolution":{"observed_at":"2026-08-06T10:15:33.292435Z","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":"2026-08-06T10:15:33.500138Z","title":null,"venue":null,"work_id":"5ae16563-c3a7-485e-a335-5d0e44a40a86","year":2024},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.296400Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:f8e5bd925e0aa319b99cf3307e63bd7fed34496177a6638e07da884752b4275c","observation_id":"6b9e8f2a-1ecf-46dc-b137-eff3af919f62","resolution":{"observed_at":"2026-08-06T10:15:33.503959Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T10:15:33.300604Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.300604Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:18170fc42664fa2795ab81f1e0538c10fec0dbbb1d6e1c8f9bcc592403a020ae","observation_id":"00cb910e-b871-4cd1-bd97-1aea01f2fa30","resolution":{"observed_at":"2026-08-06T10:15:33.300604Z","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":"2026-08-06T10:15:33.304753Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-06T10:15:33.304753Z"},"links":{"citing_paper":"/paper/2508.08280"},"observation_digest":"sha256:e1430fc31ea3910dae10cb15f7cde8a36e19824369c9e2cad050dc865446f576","observation_id":"440dc626-3da8-4c4f-b3b5-1edea50284d4","resolution":{"observed_at":"2026-08-06T10:15:33.304753Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.08280","last_updated":"2025-08-01T05:27:44Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T10:15:26.196840Z","submitted_at":"2025-08-01T05:27:44Z","title":"MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder"},"reference_resolution":{"displayed":52,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":40,"verified_exact":1,"verified_fuzzy":10},"total_outbound_references":52},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2508.08280."}