{"as_of":"2026-08-16T03:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:51ac5e86d1789d2d9efb41dc835be56e065374fb809ad17282db4acf3b1ee303","coverage":[{"denominator":13,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:20:55.008938Z","state":"measured"},{"denominator":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/2505.15803/citation-record","integrity":"/paper/2505.15803/integrity","json":"/paper/2505.15803/citation-record.json","paper":"/paper/2505.15803"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:20:56.120158Z","title":"We refer the reader to Donoho et al","venue":null,"work_id":"84442203-a1c9-4cd8-a867-5248b879717a","year":1998},"citing_paper":{"arxiv_id":"2505.15803","last_updated":"2025-05-21T17:56:07Z","snapshot_observed_at":"2026-08-07T15:09:03.376630Z","submitted_at":"2025-05-21T17:56:07Z","title":"Adaptive Estimation and Learning under Temporal Distribution Shift","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T15:20:54.539104Z"},"links":{"citing_paper":"/paper/2505.15803"},"observation_digest":"sha256:a642b750b2c9e1fd31e38d6afa7843a2a2bb763743f5296edfa5badbdebdf05a","observation_id":"4539ce13-4097-44b3-b93c-e39be227af7e","resolution":{"observed_at":"2026-08-07T15:20:56.206858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T15:20:56.294642Z","title":"This coefficient aggregates information across the entire signal, providing a coarse summary","venue":null,"work_id":"89462242-495e-4aab-bd8e-f037bedf32b1","year":1993},"citing_paper":{"arxiv_id":"2505.15803","last_updated":"2025-05-21T17:56:07Z","snapshot_observed_at":"2026-08-07T15:09:03.376630Z","submitted_at":"2025-05-21T17:56:07Z","title":"Adaptive Estimation and Learning under Temporal Distribution Shift","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T15:20:54.477599Z"},"links":{"citing_paper":"/paper/2505.15803"},"observation_digest":"sha256:9127c2528309882330c83d2261febccd0f9abfec665974240df1e4bb918eb9b7","observation_id":"a7f150c8-518f-498f-9b59-9d6dacd04034","resolution":{"observed_at":"2026-08-07T15:20:56.386003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T15:20:55.126165Z","title":null,"venue":null,"work_id":"e1f5a414-29f7-4e6c-8c82-545ec38a87e6","year":1972},"citing_paper":{"arxiv_id":"2505.15803","last_updated":"2025-05-21T17:56:07Z","snapshot_observed_at":"2026-08-07T15:09:03.376630Z","submitted_at":"2025-05-21T17:56:07Z","title":"Adaptive Estimation and Learning under Temporal Distribution Shift","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T15:20:55.008938Z"},"links":{"citing_paper":"/paper/2505.15803"},"observation_digest":"sha256:940f9c5c1536ea46fd0012030ed9f2b4b091be5d4a056bd43a23040ff05ff3b3","observation_id":"30163a1f-f8ca-43c1-8eee-372b5d166146","resolution":{"observed_at":"2026-08-07T15:20:55.190412Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T15:20:55.631445Z","title":"The rest of the proof proceeds similarly as in the proof of Theorem","venue":null,"work_id":"2c493fb7-76bc-4473-8988-b7062296362f","year":1998},"citing_paper":{"arxiv_id":"2505.15803","last_updated":"2025-05-21T17:56:07Z","snapshot_observed_at":"2026-08-07T15:09:03.376630Z","submitted_at":"2025-05-21T17:56:07Z","title":"Adaptive Estimation and Learning under Temporal Distribution Shift","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T15:20:54.760010Z"},"links":{"citing_paper":"/paper/2505.15803"},"observation_digest":"sha256:e13a352ab89f0bd1825608bdc131fabeb5ccfa5fec79cd3dad9207db648fa24e","observation_id":"da97d566-1d3d-4f85-8f61-dc87105f104b","resolution":{"observed_at":"2026-08-07T15:20:55.697353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T15:20:55.476906Z","title":"We have with probability at-least 1 − δ, L ˆf − Lf∗ ≤ 8 r 2d log(2n) n + 2 r 2 log(3/δ) n + √ 3 · sup f ∈F X i∈I 6|Wi,n|·(|βf i |∧2σ p 4d log(3 log 2n/δ))","venue":null,"work_id":"3bc74844-f39a-4887-a88a-d463b1c70e08","year":2012},"citing_paper":{"arxiv_id":"2505.15803","last_updated":"2025-05-21T17:56:07Z","snapshot_observed_at":"2026-08-07T15:09:03.376630Z","submitted_at":"2025-05-21T17:56:07Z","title":"Adaptive Estimation and Learning under Temporal Distribution Shift","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T15:20:54.840170Z"},"links":{"citing_paper":"/paper/2505.15803"},"observation_digest":"sha256:7f5c606fdd6fc081e3c02eb7597c1a349db9f6775f06703472f89088f9fa6fa2","observation_id":"e0d137a0-c95b-416b-a5d1-f26e138e987e","resolution":{"observed_at":"2026-08-07T15:20:55.556720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T15:20:55.956346Z","title":null,"venue":null,"work_id":"01c1adc9-1f83-4e5e-87e6-c4a7afae2d5c","year":2006},"citing_paper":{"arxiv_id":"2505.15803","last_updated":"2025-05-21T17:56:07Z","snapshot_observed_at":"2026-08-07T15:09:03.376630Z","submitted_at":"2025-05-21T17:56:07Z","title":"Adaptive Estimation and Learning under Temporal Distribution Shift","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T15:20:54.618376Z"},"links":{"citing_paper":"/paper/2505.15803"},"observation_digest":"sha256:f114d31456d2f89803ed94571d07056ac5c9eb4774e18827342786752a1280c3","observation_id":"8aed117e-aa16-4ee3-a3fb-401d3c74cd0b","resolution":{"observed_at":"2026-08-07T15:20:56.055545Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T15:20:55.793742Z","title":null,"venue":null,"work_id":"41987158-daf0-4a7f-bbb6-85331b145de7","year":2006},"citing_paper":{"arxiv_id":"2505.15803","last_updated":"2025-05-21T17:56:07Z","snapshot_observed_at":"2026-08-07T15:09:03.376630Z","submitted_at":"2025-05-21T17:56:07Z","title":"Adaptive Estimation and Learning under Temporal Distribution Shift","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T15:20:54.689021Z"},"links":{"citing_paper":"/paper/2505.15803"},"observation_digest":"sha256:5a5a0824bfe87a194a39c72a69632934336b5e8d1512370b8d603c1835039866","observation_id":"250eedaa-fdfc-49e8-b714-6a06376c5184","resolution":{"observed_at":"2026-08-07T15:20:55.865639Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T15:20:56.595699Z","title":null,"venue":null,"work_id":"d86d1ee5-e1b6-4c27-a5b9-73c5fa773642","year":2009},"citing_paper":{"arxiv_id":"2505.15803","last_updated":"2025-05-21T17:56:07Z","snapshot_observed_at":"2026-08-07T15:09:03.376630Z","submitted_at":"2025-05-21T17:56:07Z","title":"Adaptive Estimation and Learning under Temporal Distribution Shift","version":1},"reference_index":2003,"source":"pdf_text","source_observed_at":"2026-08-07T15:20:54.295691Z"},"links":{"citing_paper":"/paper/2505.15803"},"observation_digest":"sha256:927c6ac163b611bc94142c1350c09f15e3dd67b160d26f22e329babde22bef50","observation_id":"bbb99206-36d6-43c5-a7d6-4aaff0298cec","resolution":{"observed_at":"2026-08-07T15:20:56.668799Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T15:20:55.286243Z","title":"Let (x′ 1y′ 1),","venue":null,"work_id":"9d843519-be4a-4813-9d0c-a0ee962050bb","year":2012},"citing_paper":{"arxiv_id":"2505.15803","last_updated":"2025-05-21T17:56:07Z","snapshot_observed_at":"2026-08-07T15:09:03.376630Z","submitted_at":"2025-05-21T17:56:07Z","title":"Adaptive Estimation and Learning under Temporal Distribution Shift","version":1},"reference_index":2004,"source":"pdf_text","source_observed_at":"2026-08-07T15:20:54.919364Z"},"links":{"citing_paper":"/paper/2505.15803"},"observation_digest":"sha256:4aecbe0f170777c0be3dc9c0ea8c5e1304c7b58a6e546e0e73b5ca9b24974d9e","observation_id":"26657f9f-c105-4abf-bae0-a1fb1ff00a29","resolution":{"observed_at":"2026-08-07T15:20:55.388545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T15:20:56.902302Z","title":"Dld transactions open data","venue":null,"work_id":"51b5f3cf-1ad9-4919-8bfc-ecc09b6dc1f4","year":2025},"citing_paper":{"arxiv_id":"2505.15803","last_updated":"2025-05-21T17:56:07Z","snapshot_observed_at":"2026-08-07T15:09:03.376630Z","submitted_at":"2025-05-21T17:56:07Z","title":"Adaptive Estimation and Learning under Temporal Distribution Shift","version":1},"reference_index":2009,"source":"pdf_text","source_observed_at":"2026-08-07T15:20:54.151272Z"},"links":{"citing_paper":"/paper/2505.15803"},"observation_digest":"sha256:e14a41031ceed059f09f9fdcca5494a4d8b2e0b075dfa4b6fc1ae42777b8909f","observation_id":"b3998abc-76e8-40c1-b9ab-bed0f663ebfe","resolution":{"observed_at":"2026-08-07T15:20:56.997229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T15:20:56.730580Z","title":"Jadbabaie, and Alejandro Ribeiro","venue":null,"work_id":"9eb159f1-3666-4a15-a90e-1c8e402b9615","year":2016},"citing_paper":{"arxiv_id":"2505.15803","last_updated":"2025-05-21T17:56:07Z","snapshot_observed_at":"2026-08-07T15:09:03.376630Z","submitted_at":"2025-05-21T17:56:07Z","title":"Adaptive Estimation and Learning under Temporal Distribution Shift","version":1},"reference_index":2012,"source":"pdf_text","source_observed_at":"2026-08-07T15:20:54.233119Z"},"links":{"citing_paper":"/paper/2505.15803"},"observation_digest":"sha256:9c38c2d71d962439b65049e486df506941dad8ae0f6806edb6dd9902f33a24b3","observation_id":"f78cf3a2-dd01-42fa-baa2-4dcf22ec7fe2","resolution":{"observed_at":"2026-08-07T15:20:56.843696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T15:20:57.089256Z","title":"Learning from time- changing data with adaptive windowing","venue":null,"work_id":"15edddc5-0aaf-4d94-98d9-37a08e4717a7","year":2007},"citing_paper":{"arxiv_id":"2505.15803","last_updated":"2025-05-21T17:56:07Z","snapshot_observed_at":"2026-08-07T15:09:03.376630Z","submitted_at":"2025-05-21T17:56:07Z","title":"Adaptive Estimation and Learning under Temporal Distribution Shift","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-07T15:20:54.048002Z"},"links":{"citing_paper":"/paper/2505.15803"},"observation_digest":"sha256:86ceca98da83510cfa9743904f68a5fedaf0a00359a09e680b93318462c11917","observation_id":"84fde31d-0c9d-43bb-b10e-8a0f6246b78a","resolution":{"observed_at":"2026-08-07T15:20:57.175154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T15:20:56.449766Z","title":"In contrast, our algorithm, based on wavelet-denoising, does not explicitly maintain a window size, yet achieve optimal estimation error rates","venue":null,"work_id":"934c7d74-1352-4d74-9a96-b71ffa83936d","year":2008},"citing_paper":{"arxiv_id":"2505.15803","last_updated":"2025-05-21T17:56:07Z","snapshot_observed_at":"2026-08-07T15:09:03.376630Z","submitted_at":"2025-05-21T17:56:07Z","title":"Adaptive Estimation and Learning under Temporal Distribution Shift","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T15:20:54.407335Z"},"links":{"citing_paper":"/paper/2505.15803"},"observation_digest":"sha256:6af529d41aab7c95108c32d88eb1b0641073997a8152381c2fdefdb998348b0d","observation_id":"08fa94f8-7ae6-40ef-8a9d-070f8784940d","resolution":{"observed_at":"2026-08-07T15:20:56.499076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.15803","last_updated":"2025-05-21T17:56:07Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T15:09:03.376630Z","submitted_at":"2025-05-21T17:56:07Z","title":"Adaptive Estimation and Learning under Temporal Distribution Shift"},"reference_resolution":{"displayed":13,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":9},"total_outbound_references":13},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2505.15803."}