{"as_of":"2026-08-11T06:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e429144847d91152b8cab4b35b2fe23a1f4e9a26b261c0c1a0b45cf5667e9816","coverage":[{"denominator":25,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":25,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T12:42:12.162111Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2510.02809/citation-record","integrity":"/paper/2510.02809/integrity","json":"/paper/2510.02809/citation-record.json","paper":"/paper/2510.02809"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:42:09.840180Z","title":"In: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:09.840180Z"},"links":{"citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:5327ff8d6abf915bbe2039f1f6ad9e3b86fa452867463737f1cec03a24d93f18","observation_id":"4ca07e9e-8b6c-427e-bf93-9f3181d75082","resolution":{"observed_at":"2026-08-04T12:42:09.840180Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01139","last_updated":"2024-05-28T14:17:22Z","snapshot_observed_at":"2026-08-06T01:31:31.734136Z","submitted_at":"2024-02-02T04:42:09Z","title":"Online conformal prediction with decaying step sizes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01139","snapshot_observed_at":"2026-08-04T12:42:09.907495Z","title":"https://doi.org/10.48550/arXiv.2402.01139 14 T","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:09.907495Z"},"links":{"cited_paper":"/paper/2402.01139","citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:4a4986f83fb79be6204cef7a1231d5294c68ea724e12e2dd0ae0c9dbbe60c695","observation_id":"c3e3fd02-992e-4883-aed2-401abe0cf771","resolution":{"observed_at":"2026-08-04T12:42:09.907495Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.07511","last_updated":"2022-12-07T05:08:01Z","snapshot_observed_at":"2026-07-06T11:29:34.579530Z","submitted_at":"2021-07-15T17:59:50Z","title":"A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.07511","snapshot_observed_at":"2026-08-04T12:42:10.007303Z","title":"https://doi.org/10","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:10.007303Z"},"links":{"cited_paper":"/paper/2107.07511","citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:c94330d330d61665b141c0e4c90b79d4b6d6d6d2242ef77a453ebd340233f96c","observation_id":"d21945fe-c0de-47e6-9c7d-63aed0b15c16","resolution":{"observed_at":"2026-08-04T12:42:10.007303Z","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":"2026-08-04T12:42:10.134278Z","title":"International Journal of Forecasting16(4), 521–530 (2000)","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:10.134278Z"},"links":{"citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:6fc8b5a1871205380ee4d41ef05bd1ef553fd9542eac0c34f1f53e60ef2a8684","observation_id":"1b1cf1b0-a85c-40cc-b9ca-c26df1ae3e08","resolution":{"observed_at":"2026-08-04T12:42:10.134278Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1905.02928","last_updated":"2020-05-29T22:30:33Z","snapshot_observed_at":"2026-08-01T17:02:51.808393Z","submitted_at":"2019-05-08T06:16:01Z","title":"Predictive inference with the jackknife+","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.02928","snapshot_observed_at":"2026-08-04T12:42:10.256491Z","title":"https://doi.org/10.48550/arXiv.1905.02928","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:10.256491Z"},"links":{"cited_paper":"/paper/1905.02928","citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:d32e9215ec0fb9b2973618caa8f57ebb045338eb185c1d95f530ba5a1a469394","observation_id":"615e8d22-52f4-46d4-915a-3b398e07e341","resolution":{"observed_at":"2026-08-04T12:42:10.256491Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.13415","last_updated":"2023-03-17T01:33:59Z","snapshot_observed_at":"2026-08-10T18:30:25.881125Z","submitted_at":"2022-02-27T18:18:43Z","title":"Conformal prediction beyond exchangeability","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.13415","snapshot_observed_at":"2026-08-04T12:42:10.365284Z","title":"https://doi.org/10.48550/arXiv.2202.13415, http://arxiv.org/abs/2202.13415, arXiv:2202.13415 [stat]","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:10.365284Z"},"links":{"cited_paper":"/paper/2202.13415","citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:aefe4d33408569d0d7f7f14f7f53a086e763e523bb755f62d37787e6bc0da9fe","observation_id":"e7d10719-3a83-4da4-ba58-c66322c83a48","resolution":{"observed_at":"2026-08-04T12:42:10.365284Z","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":"2026-08-04T12:42:10.493341Z","title":"Holden-Day, San Francisco, 1st edn","venue":null,"work_id":null,"year":1970},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:10.493341Z"},"links":{"citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:07d66552aecbd15cdf1ea9be6f6009ce044ca3a2f02a7f3597f22e6d12daf323","observation_id":"d69b8c24-21ae-4183-a808-77e3b08b8c92","resolution":{"observed_at":"2026-08-04T12:42:10.493341Z","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":"2026-08-04T12:42:10.599187Z","title":"Mathe- matics of control, signals and systems2(4) (1989)","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:10.599187Z"},"links":{"citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:19084066a2827d128d0fde3b9c11ec891ff6e8550153ed9207a0e3421dffab75","observation_id":"18ebb7ee-4708-4482-afe7-b623fff6ee0d","resolution":{"observed_at":"2026-08-04T12:42:10.599187Z","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":"2026-08-04T12:42:10.717254Z","title":"In: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:10.717254Z"},"links":{"citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:f255f045e3bc15d8a32120910ad26fc0404297efc9d10b9e318917f1d48fb2d1","observation_id":"e9aa4441-11a0-4dd1-87fe-8e8174d0d89b","resolution":{"observed_at":"2026-08-04T12:42:10.717254Z","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":"2026-08-04T12:42:10.826079Z","title":"In: Advances in Neural Information Processing Systems","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:10.826079Z"},"links":{"citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:44629aaff4472703cd84b5a06b6cf251dd657db2630ca2de57f99a1f29cfdb53","observation_id":"b9bf1ba8-86ab-4812-9d9c-018ac206c969","resolution":{"observed_at":"2026-08-04T12:42:10.826079Z","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":"2026-08-04T12:42:10.926124Z","title":"Resources, Conservation and Recycling168, art","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:10.926124Z"},"links":{"citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:9b7e485184bbb1853f74873b69bf65225f7fa615071cfe7fdf29176e85b9786b","observation_id":"20a210b6-f8dd-4adc-b41e-3355f6377f69","resolution":{"observed_at":"2026-08-04T12:42:10.926124Z","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":"2026-08-04T12:42:11.046228Z","title":"https://www.kaggle.com/datasets/camnugent/ sandp500 (2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:11.046228Z"},"links":{"citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:cb2a6a8ccb657b07edf5d8ea5f9f9f0b7fc2c927b2bc879810964ed9c61b8fed","observation_id":"260635d1-7dd0-4caf-8948-a1a5a35c4f34","resolution":{"observed_at":"2026-08-04T12:42:11.046228Z","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":"2026-08-04T12:42:11.155486Z","title":"In: Elomaa, T., Mannila, H., Toivonen, H","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:11.155486Z"},"links":{"citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:4173d812a68353916185ca73640feb93c27891913977baa44748213a6b732a2c","observation_id":"5190773c-3545-4fa4-a84a-ea2837aa68ee","resolution":{"observed_at":"2026-08-04T12:42:11.155486Z","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":"2026-08-04T12:42:11.291675Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:11.291675Z"},"links":{"citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:dec24a9b46f72b5ea1def6fb3d76dea015c76f1968b1673b1b0fd7dda56fa5f0","observation_id":"9938bedd-57d9-45e5-bccc-2d5ad166e833","resolution":{"observed_at":"2026-08-04T12:42:11.291675Z","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":"2026-08-04T12:42:11.350113Z","title":"In: Advances in Neural Information Processing Systems","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:11.350113Z"},"links":{"citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:dff9c469591c2493a1099492e20eb7aa0097260ad4d644f0837d50c602d093c4","observation_id":"72898b39-232b-417d-a58d-6d33ea46d2e0","resolution":{"observed_at":"2026-08-04T12:42:11.350113Z","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":"2026-08-04T12:42:11.542765Z","title":"Springer, New York (2005)","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:11.542765Z"},"links":{"citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:89ff731b4aecf790940a41ffc55938a56b3128963657fdac925b3162909fdbaf","observation_id":"3fef7eff-06c1-4a18-b1b4-17e500a4a7ed","resolution":{"observed_at":"2026-08-04T12:42:11.542765Z","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":"2026-08-04T12:42:11.671203Z","title":"https://www.kaggle.com/datasets/ sumanthvrao/daily-climate-time-series-data (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:11.671203Z"},"links":{"citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:23cefe5356e2e47049b8b279f411ed77f728ae575eba7666e3baf3b7d2a785ba","observation_id":"e0945431-475d-4983-8477-a1f6cb08082a","resolution":{"observed_at":"2026-08-04T12:42:11.671203Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.00818","last_updated":"2025-09-08T02:09:05Z","snapshot_observed_at":"2026-08-09T21:22:12.897991Z","submitted_at":"2025-02-02T15:02:36Z","title":"Error-quantified Conformal Inference for Time Series","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.00818","snapshot_observed_at":"2026-08-04T12:42:11.786388Z","title":"https://doi.org/10.48550/arXiv.2502.00818, arXiv:2502.00818 [stat]","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:11.786388Z"},"links":{"cited_paper":"/paper/2502.00818","citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:a4ef7c3e33d08b1b9208a0c52b07c719c4714136143d8212d8d3c7c04fbd357b","observation_id":"ca97349e-0135-4709-ad97-c2d4add7fc02","resolution":{"observed_at":"2026-08-04T12:42:11.786388Z","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":"2026-08-04T12:42:11.879688Z","title":"In: Proceedings of the 40th International Conference on Machine Learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:11.879688Z"},"links":{"citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:67bc535b74c9635ec6427613dd3e41a80ea923d16faf76a79274924070845ddc","observation_id":"3b52c110-28b8-427b-899b-4f936c72bb2e","resolution":{"observed_at":"2026-08-04T12:42:11.879688Z","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":"2026-08-04T12:42:11.936997Z","title":"In: Proceedings of the 39th International Conference on Machine Learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:11.936997Z"},"links":{"citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:d7d1e8ed71ba8b322fd4de38f65d19988e160ded411ae11fcb866862945f31b5","observation_id":"c6f220e6-f929-443b-b734-02ec4b1a8672","resolution":{"observed_at":"2026-08-04T12:42:11.936997Z","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":"2026-08-04T12:42:11.986153Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:11.986153Z"},"links":{"citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:24f3804f2dbbc53858cd5c343cdd2098ae3bcfa0b6bb3ba8b2e7084df10b8201","observation_id":"aee16f5f-3733-4759-9d39-22d004328f5d","resolution":{"observed_at":"2026-08-04T12:42:11.986153Z","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":"2026-08-04T12:42:12.011102Z","title":"This leads to the fact that the update in equation (12) satisfies the long-run coverage","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:12.011102Z"},"links":{"citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:456e732b79d6bedabd123b64ab53021f0a6ca9085f45d1715472cc98b3a69517","observation_id":"e2e12ef2-de17-4ca3-9ead-12f641bd3278","resolution":{"observed_at":"2026-08-04T12:42:12.011102Z","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":"2026-08-04T12:42:12.037907Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:12.037907Z"},"links":{"citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:34aa1aa3ac8e0221ddce4c38fad3d667daf386161be59707dbd1446ff12de498","observation_id":"7ff82699-5d9f-4f36-8811-b792174259fe","resolution":{"observed_at":"2026-08-04T12:42:12.037907Z","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":"2026-08-04T12:42:12.095766Z","title":"They set, in almost all the experiments,λ= 1","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:12.095766Z"},"links":{"citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:2553a375db89cf33002a0129839e821c983cc6466ac5f675c6290f9417c7a9fe","observation_id":"0715f5e9-ebc7-443c-9d0f-8b89335427c6","resolution":{"observed_at":"2026-08-04T12:42:12.095766Z","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":"2026-08-04T12:42:12.162111Z","title":null,"venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T12:42:12.162111Z"},"links":{"citing_paper":"/paper/2510.02809"},"observation_digest":"sha256:85d2d4cdc8bfc8b17187a6c6eca36c2d1f56ec5d63cfdb6e97da991c16d7f044","observation_id":"64bd981a-5c62-406f-96db-868d28a5de76","resolution":{"observed_at":"2026-08-04T12:42:12.162111Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2510.02809","last_updated":"2025-10-06T06:51:20Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T21:22:38.453861Z","submitted_at":"2025-10-03T08:31:14Z","title":"Relevance-Aware Thresholding in Online Conformal Prediction for Time Series"},"reference_resolution":{"displayed":25,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":24,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":25},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2510.02809."}