{"as_of":"2026-08-10T15:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0d164f9d8b3d1a19311489c50977d0120c865ec37772229af6c2b20f0e5a4ff9","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":"2026-08-10T06:31:04.303077+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":"2026-08-09T08:13:56.638898Z","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":"2026-08-09T09:45:40.959752Z","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":"sha256:1bad85dc6352b4e824828f9dfefff752755636cb4858604ba215e29c57493b97","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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:dc025e37c9a52909bf4aa4cf939038f9ab1b074c4e3a928db0fbf0ad64dfd3fa","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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":"sha256:47826dfea007305dbeda1ccb8c161f4af664320843b26127be4d2f225bf0d78d","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":"2026-08-09T08:13:56.638898Z","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":"sha256:7548bdd40330fe34c34c872dce55101984cfc9f3f76de75a9cc165b920554dce","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":"2026-08-09T08:13:56.638898Z","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":"sha256:8134c2cfcf4a6716b27c1ac0700ed5e07bee84e59ea5a9a9492fa06782e24b12","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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":"sha256:2749e106dff2795bb46e06b62e3fd6bdec64d018818289c8121eea21f67ab69c","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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:cdd8b1fb0ebd32d40c64277fd449d69afc32413bf117daef88f14daea949c0b3","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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":"sha256:7bde5e19400a395180c1878f7518f5ce760900934f868797bc8e015aacf89398","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":"2026-08-09T08:13:56.638898Z","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:cfde2230f4d800374363b7b60ed3550d4e776a2f51f3b394c31e621054d1508b","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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:d2a0533faebc1fe544df7a02889a876085d136ecd9c8ec0f92c04392fc0b4b2f","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11269","last_updated":"2025-09-07T05:07:44Z","snapshot_observed_at":"2026-08-10T02:42:43.918681Z","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":"2026-08-09T08:13:56.638898Z","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:a13442a1859d8907dba1d89602bf8e55bfa0934409d3cf1178bb7b42e054cdee","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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":"sha256:208f97bf183c28d3e1f01a9d4f93c738d24a8431861df12f48b11d676dd1440c","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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:d71e7d00012be4f5e0148801355ad8e3bfdc04e6c3301c662ad38e33bbdcf5a9","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.14112","last_updated":"2021-06-26T23:56:31Z","snapshot_observed_at":"2026-08-09T08:13:49.908947Z","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":"2026-08-09T08:13:56.638898Z","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":"sha256:0095333e6d5bb85a3e8e4c1fb6fc281a0f990a59dae4503de69fb39a9c088651","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":"2026-08-09T08:13:56.638898Z","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:ed573648c1ff8ed421280a219c03433a60137c00383d1591456a437c809f7c9b","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.00567","last_updated":"2020-10-01T17:38:40Z","snapshot_observed_at":"2026-08-09T03:41:14.705307Z","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":"2026-08-09T08:13:56.638898Z","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":"sha256:35780d84958345516ecdb2b3ad9e7c6b14cdec3dec725678bb7f4398dc4cc6a3","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":"2026-08-09T08:13:56.638898Z","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":"sha256:5dad3a75d397f1a768434d0d6bb574c9c93886ce412474734493b179f88f8ce0","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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:ac07300dcf2cf1d8feb3e4c783ea88fb93e55ce45781939bb5543fc86fba3882","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":"2026-08-09T08:13:56.638898Z","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":"sha256:553c6be7c68e26af267073733033bb1c74dae6733c2ed2cae1eadbb058f04083","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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":"sha256:8211c90670ec642cca1286eb2a84f830ec4025ac57f1628f002ef62ccdaf2ca2","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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":"sha256:99d289830794812ad462218e58e0b1a8c2b07bcc692178d3e7a85c5dc5fccb72","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":"2026-08-09T08:13:56.638898Z","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:fc8411369e9fa6900e487e925ead9ce4e3a637d5964d7e90171ebb623d940162","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":"2026-08-09T08:13:56.638898Z","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":"sha256:73ed57dfd06e2ef77beef9982ed51d4a34273617a178510ad1989e50a6ef0dcb","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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":"sha256:00526468e2135ebd2b9b65c3bd2c831b773f6d8acdbe94e8dabe86add768105a","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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:e377630ee32dab8646d38b45a67de3b74d6783f6553d609c089420d9960b34c8","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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":"sha256:96c56abf0591485c7ff807305a1fbcbb3e455e56ea5cc039f8d0b0342fff6c22","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":"2026-08-09T08:13:56.638898Z","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":"sha256:0a9d46368195bc22ae028c2169e9b9592a2ec704ed248f97893e444edc8a40f4","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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":"sha256:4ee64854abc49b56859f43733232bc8c1ea2ce1d6ed7af99554479d8b9af94a4","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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":"sha256:5f8db5f1c79296686b5bfb6db290aa0b407e8ec25740c2184ee6a0a919d01bc3","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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:dfb94f8b3918513e8714b84564699e4acbb8cf6f419df2c57dcaaa2c11d409d0","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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:c717fae983e27710de252388fd1895e488b4a8be9c5f2df3519a91e425212fd3","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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":"sha256:9632d3e37ac9400c0c5669c8979e603eac1e5947731b916d53d5bb0cb44cacff","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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:abada5fc70ebde0840b1808ffef6220e7ae1577324a5798d58a002ff8176e269","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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:b039f8e4170a5896d570de0918e63a0fb53eac8d0983b64eee3f0fd179c058ab","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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":"sha256:14e2b133d3639ad29b1c46c62dc4adbd4d0c47f38d313aa58ee2d804bf70103f","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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:a6752f287bea1ec6526b854f72608bb468716fcf16b379d9c28c4ce2d322053e","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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:df1e0e8f297e80bb60f99851425423a97af7a27bd8879fe98bc64a568e20fcee","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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":"sha256:823c02a26d5f44b80c38a80bfbbff27976fdada7b04432f316e30137770d3534","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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:b46d5ec83160090e95b74bc6bd91a8ee35a3359fc83ccbe0b04bcc1faeb6b649","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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":"sha256:840276b722767384fc89dfd9e0b886942d094be4d1e5d8d5dddd4737781bb9ae","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":"2026-08-09T08:13:56.638898Z","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":"sha256:05e87d7d24ee7296dcc7a9241454609059f35c8be6937da32c65f43cb98eda91","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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:f0ebd0294e8fdbca0812696ebbe64ddb00ebbd041806888b5a2cb1cd62b982df","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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:fb5ef366707309b7c0359974e54df6db488cdb9fd9b9c054ba64710865a90d94","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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":"sha256:47349ce3280782ee0c0311217f2c9dec82e3bd07ac40de9429d08e6a32e28b2b","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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:dfaf17be3add4fb4ef4b72654ddeca1ec5a465d7f3ebaac473e2f71b5bf6737c","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":"2026-08-09T08:13:56.638898Z","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:eaa4ca461ab87e5727d202f4caa6411fa9d846185e97463b84a8cb0a63029865","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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":"sha256:44d5fab62b0aa498b41d8f7dc55233a71ee0869969fcbdd089fb8962a62f5a1b","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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":"sha256:36de4022ff90c822aa0a99a711f360d2b58e75991a90fa787ec44b4e35c70c46","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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":"sha256:02fd31ccf016a5011414c1950411ec666f8a5c8eda99c75928860d65689092e0","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1710.09412","last_updated":"2018-04-27T21:39:25Z","snapshot_observed_at":"2026-08-08T10:28:19.597631Z","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":"2026-08-09T08:13:56.638898Z","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:b91ae05af1c11fa24f9b621fa323219f23ba6d400f968a00572a7cf2253cc59a","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":"2026-08-09T08:13:56.638898Z","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":"sha256:61889d790c271e0bc5d5771a075d7be79befd10f1282449a3aa2403d77974c44","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T08:13:56.638898Z","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":"sha256:0da906eece5f2841e62f4d8bdab2c6aa77f52b00a702184d3b995977845d3df9","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":"2026-08-09T08:13:56.638898Z","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:dc15587e1d34e2db9573c9ba57ec630d8058d3c8b9910143d1bed384d088540d","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":"2026-08-09T08:13:56.638898Z","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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2508.08280."}