{"as_of":"2026-08-07T05:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d8af136c8e49002db57d4ab86d8ca7e148d47b4f4db4fb16e3299d8b35ce1d23","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T11:38:39.556263Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2601.05613/citation-record","integrity":"/paper/2601.05613/integrity","json":"/paper/2601.05613/citation-record.json","paper":"/paper/2601.05613"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1912.00818","last_updated":"2019-12-02T14:29:00Z","snapshot_observed_at":"2026-07-06T08:41:25.156353Z","submitted_at":"2019-12-02T14:29:00Z","title":"Federated Learning with Personalization Layers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.00818","snapshot_observed_at":"2026-08-03T11:38:35.666844Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:35.666844Z"},"links":{"cited_paper":"/paper/1912.00818","citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:ded227477cf2083529b07929a0d1cd073a7a8788fbc4a32ca0f0e488d8896486","observation_id":"225da767-f6f1-4712-83d2-e95151dd52ed","resolution":{"observed_at":"2026-08-03T11:38:35.666844Z","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":"2026-08-03T11:38:36.042896Z","title":"Collins, H","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:36.042896Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:0186caeac94d62094c6ff46c88660511b561a85d11fba45adc6fe21230122feb","observation_id":"edbec62f-da05-4ea4-a6a8-215756cc545d","resolution":{"observed_at":"2026-08-03T11:38:36.042896Z","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":"2026-08-03T11:38:36.366050Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:36.366050Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:30e8c80666339eef5ccac79d6ac471a5ef21566b6fce35dbe4df4d6c46f2d9fc","observation_id":"644fe075-6e04-4c76-8c26-f350a2653f02","resolution":{"observed_at":"2026-08-03T11:38:36.366050Z","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":"2026-08-03T11:38:36.662539Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:36.662539Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:51c8ecdda165f2b8affa0c9003453ccc1ae39cb4349ae872c483a4466cc55638","observation_id":"58a7646b-3125-4a5d-a000-6b248311708c","resolution":{"observed_at":"2026-08-03T11:38:36.662539Z","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":"2026-08-03T11:38:36.735171Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:36.735171Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:33a1abef7c1151609f9d02a9939792489fa81800801d0c13174b53cfca048170","observation_id":"77a81dfe-cda0-4615-9313-d0fbbcccc6ab","resolution":{"observed_at":"2026-08-03T11:38:36.735171Z","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":"2026-08-03T11:38:36.857134Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:36.857134Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:fc123d1b2c890e2fccc3cb98d775aa81f2d188380e96e7e9cff61f7f3b543007","observation_id":"f5c0ec03-70db-48b2-8b49-95a7f210aba1","resolution":{"observed_at":"2026-08-03T11:38:36.857134Z","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":"2026-08-03T11:38:37.140851Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:37.140851Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:418c9626099eaf2c7bf04d876c1c083a5bad217409d9a762ae36d6dbdbf2d02e","observation_id":"bde1fa80-4e25-419e-988d-fe3e85dda3fb","resolution":{"observed_at":"2026-08-03T11:38:37.140851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2001.01523","last_updated":"2020-07-14T08:12:35Z","snapshot_observed_at":"2026-08-04T05:35:18.088525Z","submitted_at":"2020-01-06T12:40:21Z","title":"Think Locally, Act Globally: Federated Learning with Local and Global Representations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.01523","snapshot_observed_at":"2026-08-03T11:38:37.244326Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:37.244326Z"},"links":{"cited_paper":"/paper/2001.01523","citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:4fa2768724107f856bf3a937647d9e6946a2f971364a33e95bbabb2b730bfb25","observation_id":"d7ec1770-5d47-4a9e-afda-7cf1a1eed416","resolution":{"observed_at":"2026-08-03T11:38:37.244326Z","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":"2026-08-03T11:38:37.362402Z","title":"Liang, S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:37.362402Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:55ee84b4be5b4ec0d99ce71baaffec81ccd3dd27c8483be3bb93afc0f1695d01","observation_id":"4e5beb6b-7496-4fa9-8e05-940fedac2852","resolution":{"observed_at":"2026-08-03T11:38:37.362402Z","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":"2026-08-03T11:38:37.498761Z","title":null,"venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:37.498761Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:49355c87528eda09c86b460af6ecb3a50167d22b1cd93f700b1e14b3ac024fb1","observation_id":"76513290-13aa-4d13-9833-c054873663aa","resolution":{"observed_at":"2026-08-03T11:38:37.498761Z","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":"2026-08-03T11:38:37.680212Z","title":"McMahan, E","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:37.680212Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:2569730a13c6eb9d313420fd8c2968a8b3e4fae67fd035f49fb4721c9d56d76e","observation_id":"34bfd78d-2175-4e78-8f3e-15f337369cbe","resolution":{"observed_at":"2026-08-03T11:38:37.680212Z","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":"2026-08-03T11:38:38.006255Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:38.006255Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:4dd62a40e6e8c07e93b607a2aa775682dc0e0e0dc79fa34a3d4991fada432240","observation_id":"2c8a8977-75b5-47ee-b5df-507ab78d8c32","resolution":{"observed_at":"2026-08-03T11:38:38.006255Z","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":"2026-08-03T11:38:38.131851Z","title":"Reddi, Z","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:38.131851Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:b8ecb22f24beb8b95f8b615c9bec0a411fad8fa81f8fdc3baa832e804a43ab79","observation_id":"ed939080-57e0-4bc3-857c-3a2d145e2b0d","resolution":{"observed_at":"2026-08-03T11:38:38.131851Z","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":"2026-08-03T11:38:38.264884Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:38.264884Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:a26ae51ee3d71bcbf54624ce4fb72102c0c16a4525e151600587a3c1a910473b","observation_id":"9fdd0c83-5c9c-49a9-9f9d-cd2fa5979e0b","resolution":{"observed_at":"2026-08-03T11:38:38.264884Z","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":"2026-08-03T11:38:38.495641Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:38.495641Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:1bc35db5bd9fe56b4b97289178ff96c6a5cd8c5d1087109b207b55ab27256608","observation_id":"bc8043d7-c4f9-458e-9379-723431c85fa7","resolution":{"observed_at":"2026-08-03T11:38:38.495641Z","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":"2026-08-03T11:38:38.647396Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:38.647396Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:f274132ea5651e5b95f562bb7865485b0598ce84aaa55be71beb72957e94f2b1","observation_id":"2e79bb9a-5eba-41a3-b0ac-a8ba6e254763","resolution":{"observed_at":"2026-08-03T11:38:38.647396Z","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":"2026-08-03T11:38:38.760144Z","title":"Xiong, C","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:38.760144Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:394be6b5edceb57e67e2cb003526744c4a6f21cbb656a7deded6f384f60a62d6","observation_id":"95238dbf-a663-472d-9dfd-22d5a7125ad0","resolution":{"observed_at":"2026-08-03T11:38:38.760144Z","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":"2026-08-03T11:38:38.889159Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:38.889159Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:83adbfbb15c386a84dc720315b0466c00a9a89e841a41cc8fb076229acd2b41a","observation_id":"b1531acb-3055-4b86-bf9d-6963c65031f1","resolution":{"observed_at":"2026-08-03T11:38:38.889159Z","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":"2026-08-03T11:38:38.989913Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:38.989913Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:9c8065d702ee89c6a075314a656571ced8573b98a2af0aee279393edd94efbdb","observation_id":"db6837f6-45d4-4dd7-b70b-ef80a28c2da8","resolution":{"observed_at":"2026-08-03T11:38:38.989913Z","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":"2026-08-03T11:38:39.192818Z","title":"Zhang, Y","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:39.192818Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:dc3e69df76e6bc809633304bb4abde1779850209313dab892368ea96381814a3","observation_id":"834698aa-9ebc-4d62-9143-50548f0ceede","resolution":{"observed_at":"2026-08-03T11:38:39.192818Z","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":"2026-08-03T11:38:39.289832Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:39.289832Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:39e8d8363efc62c12cdf7ce75690529d45f9b2df6990339e386d4b907796825b","observation_id":"9bd5e398-2e99-41a5-9e75-d7dcbf5e80e5","resolution":{"observed_at":"2026-08-03T11:38:39.289832Z","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":"2026-08-03T11:38:39.458448Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:39.458448Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:278820686310b47ded240615c1278fd6083c967e8b1e0748d055612a00ee8765","observation_id":"af49f1e1-3c26-495e-9767-dfcb54b3ea9d","resolution":{"observed_at":"2026-08-03T11:38:39.458448Z","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":"2026-08-03T11:38:39.556263Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:39.556263Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:ca4fb2eb3480a66637f83ebeb5e075d2f77050a76e22b2b20d5fd7924fa47396","observation_id":"f41bd26b-4b3b-4813-84d5-9b5bc1405546","resolution":{"observed_at":"2026-08-03T11:38:39.556263Z","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":"2026-08-03T11:38:37.779346Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:37.779346Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:4dc9108b3a9593ccb8b2844aa32a97295e61281d047eedce847dc83899c302df","observation_id":"d5162d25-d8af-4404-90b3-49afd2027ded","resolution":{"observed_at":"2026-08-03T11:38:37.779346Z","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":"2026-08-03T11:38:36.995612Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:36.995612Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:3b3918dd95ef033bf1719c04f9af4504a76b6c5d3762dc0a47b29abdbb36bc35","observation_id":"b3df7a04-7490-4403-839a-b83b2a821e36","resolution":{"observed_at":"2026-08-03T11:38:36.995612Z","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":"2026-08-03T11:38:36.518877Z","title":"Huang, L","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:36.518877Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:df7d80791bcd730b6a453e62c3c0262829b402a5e08d7f9a2a89b397056bc070","observation_id":"41932c00-02e0-444b-9316-01cab2ff5163","resolution":{"observed_at":"2026-08-03T11:38:36.518877Z","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":"2026-08-03T11:38:36.198802Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:36.198802Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:00f2708084d13fb8a0811df86aa248b2def4ad4d11b0504ae5317c227203d26b","observation_id":"b9088607-a7c9-4461-a2ed-1e49c4c6a633","resolution":{"observed_at":"2026-08-03T11:38:36.198802Z","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":"2026-08-03T11:38:38.364061Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:38.364061Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:45d0e6bd8b49b28905021e9a19189ea2875265d2f3b060de3ef7eefc95b22d89","observation_id":"68e79b10-fa5f-4688-a3a4-6b74b9671379","resolution":{"observed_at":"2026-08-03T11:38:38.364061Z","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":"2026-08-03T11:38:37.908997Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:37.908997Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:e5fc1138a04e5c2c4ad8d08f63ff519bb2f04751536a09678610ab11998d80d5","observation_id":"c8fd9fa9-9282-4be7-8ef4-08f0d2830f04","resolution":{"observed_at":"2026-08-03T11:38:37.908997Z","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":"2026-08-03T11:38:35.761174Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:35.761174Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:02aac967aae8715cc6e72815fb18c12faaaa324eab941c9908909e348dfcbc4b","observation_id":"15cd4bbd-c11b-4707-8102-cbe9ae9835bc","resolution":{"observed_at":"2026-08-03T11:38:35.761174Z","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":"2026-08-03T11:38:35.870467Z","title":"Cheng, X","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-03T11:38:35.870467Z"},"links":{"citing_paper":"/paper/2601.05613"},"observation_digest":"sha256:ed30fbbb618e789e76b49a2ddfd1c5655a30ef53227102cc5d85accf25f2ed3c","observation_id":"a4387b70-b60e-4895-9888-28cc243d4e82","resolution":{"observed_at":"2026-08-03T11:38:35.870467Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2601.05613","last_updated":"2026-05-25T11:21:46Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T17:39:15.795638Z","submitted_at":"2026-01-09T08:11:45Z","title":"PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":31,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":31},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2601.05613."}