{"as_of":"2026-08-18T17:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:866ca3dd3afa78178b8cb5950405c95a94b7e8356bb35ece52bfbdbaaefd15ed","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:36:25.697790Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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":"2026-05-18T10:44:31.842696Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-18T10:46:17.199816Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"cited_work":{"arxiv_id":"2505.12585","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.12585","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e46030fd-abad-4358-aacc-c3b7139dae29","year":2025},"citing_paper":{"arxiv_id":"2510.04142","last_updated":"2026-05-11T11:36:03Z","snapshot_observed_at":"2026-08-14T13:31:15.510705Z","submitted_at":"2025-10-05T10:42:21Z","title":"Turning Drift into Constraint: Robust Reasoning Alignment in Non-Stationary Multi-Stream Environments","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-18T10:44:31.842696Z"},"links":{"cited_paper":"/paper/2505.12585","citing_paper":"/paper/2510.04142"},"observation_digest":"sha256:5ce1552cf107e878361eb73e2518a03e1a1a123d30777688437b18d567354264","observation_id":"ed47509a-9eb8-40d9-9fd1-e26c9601454e","resolution":{"observed_at":"2026-05-18T10:46:17.202106Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.12585/citation-record","integrity":"/paper/2505.12585/integrity","json":"/paper/2505.12585/citation-record.json","paper":"/paper/2505.12585"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:36:26.596604Z","title":"Huang, K","venue":null,"work_id":"d04b0ec8-2e8b-47b2-9d9c-5a4c3e831d48","year":2024},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.351674Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:fd850ae492f4b9f6f8d8c3ad461dc161f2f12ba6219c82ce28b00e93663abbc4","observation_id":"ac5a3b2e-f85b-4bc0-b64d-95ac230a72f8","resolution":{"observed_at":"2026-08-15T20:36:26.601801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.580569Z","title":null,"venue":null,"work_id":"56e424e0-d644-491e-bd07-6809c4095be2","year":2023},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.357128Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:5faff8836a41d0c1aee7c948060e00fa41edc65cbef404e818994f948a781fa8","observation_id":"94095116-27c2-4812-9c9a-3a1238a20357","resolution":{"observed_at":"2026-08-15T20:36:26.585213Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.563106Z","title":null,"venue":null,"work_id":"0a923132-8231-499e-8218-90e6982a6b2a","year":2018},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.362052Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:612d9565fb7e9a0252699c71f67f0430e36aabaec868413f6f00e93715654b3a","observation_id":"1d8dd719-febf-4879-8b1c-11e75999769c","resolution":{"observed_at":"2026-08-15T20:36:26.568985Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.01480","last_updated":"2025-01-31T18:13:14Z","snapshot_observed_at":"2026-08-18T09:13:47.926439Z","submitted_at":"2025-01-02T15:09:00Z","title":"CORAL: Concept Drift Representation Learning for Co-evolving Time-series","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.01480","snapshot_observed_at":"2026-08-15T20:36:25.367857Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.367857Z"},"links":{"cited_paper":"/paper/2501.01480","citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:ad31ef96c84d9bfbad613d238a07dcce3c080e8402229e5765bffa2ea3f729ed","observation_id":"455244c7-fea3-493a-9a9e-51b64a1916bc","resolution":{"observed_at":"2026-08-15T20:36:25.367857Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14297","last_updated":"2025-06-01T17:50:33Z","snapshot_observed_at":"2026-08-18T14:09:39.202415Z","submitted_at":"2024-12-18T19:53:56Z","title":"Distributionally Robust Policy Learning under Concept Drifts","version":2},"cited_work":{"arxiv_id":"2412.14297","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.14297","snapshot_observed_at":"2026-08-15T20:36:25.985938Z","title":"Distributionally Robust Policy Learning under Concept Drifts","venue":"cs.LG","work_id":"273bcbd6-3c2d-4894-8c13-9102f2fc1b2a","year":2024},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.373676Z"},"links":{"cited_paper":"/paper/2412.14297","citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:9345843af111a76b096aeee28b15cbca4f515654cd696f3c9d6732e93ea1252c","observation_id":"c6dd2526-76c6-445a-bd8a-8f0b37a93ffa","resolution":{"observed_at":"2026-08-15T20:36:25.991565Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.545726Z","title":"Thakur, V","venue":null,"work_id":"5e98f7e6-ee94-478d-a4c1-4a3c638e0cec","year":2021},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.378977Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:5103a2900651cd3d004b09380557f9e02f220bad39c0410621a71fa4e7f2a4ed","observation_id":"c3b80a61-a2e7-485a-a09a-5e492fddd0d1","resolution":{"observed_at":"2026-08-15T20:36:26.551322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.01508","last_updated":"2023-10-02T18:04:34Z","snapshot_observed_at":"2026-08-18T12:28:04.283676Z","submitted_at":"2023-10-02T18:04:34Z","title":"CODA: Temporal Domain Generalization via Concept Drift Simulator","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.01508","snapshot_observed_at":"2026-08-15T20:36:25.384546Z","title":"Chuang, Z","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.384546Z"},"links":{"cited_paper":"/paper/2310.01508","citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:ae2648f2216c7f1b15d5754fa343c9bade247e10ee99c8ebb453b04b5ba05fa7","observation_id":"a2445ea5-7b26-400e-8388-5e9cd0fc7ca0","resolution":{"observed_at":"2026-08-15T20:36:25.384546Z","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":"2026-08-15T20:36:26.529199Z","title":null,"venue":null,"work_id":"2538d5ec-c17a-47c0-b8eb-9f72ffc226d3","year":2023},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.389548Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:54255fa3d665b829477359b745b25a334839a19366ac9f5ac4dbe652628442ee","observation_id":"782478a1-5e9e-48f9-b78f-7433e753faa3","resolution":{"observed_at":"2026-08-15T20:36:26.534383Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.511695Z","title":null,"venue":null,"work_id":"97bc29c5-ccb3-4b0e-9092-2bcd6885d400","year":2024},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.394893Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:3ddfefe207798558205efb6702c6b55087c3975b21ebe7374be018f08501b48f","observation_id":"84fc5ef2-f979-4694-8f22-8400c08c6723","resolution":{"observed_at":"2026-08-15T20:36:26.517995Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.494966Z","title":null,"venue":null,"work_id":"3af5e97d-ac8a-415b-ae09-4b5aac0bc5d5","year":2023},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.400550Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:db3acea39c10ae3a58a8d190ac224afec2e6d9dc6209eb5523c80a243ffb7929","observation_id":"90ab8001-8421-447f-b71e-6ff23ca973c8","resolution":{"observed_at":"2026-08-15T20:36:26.500330Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.478263Z","title":"Generalizing across temporal domains with koopman operators","venue":null,"work_id":"aa8dda84-a83d-42ad-8277-47a8f22c1e21","year":2024},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.405561Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:de458e505670c6470201d2a7ca74558e141e607925547b19f9389bb463b62d9d","observation_id":"678c7e01-68b6-4dfd-bb6a-93dbd4e8c084","resolution":{"observed_at":"2026-08-15T20:36:26.483228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16075","last_updated":"2024-10-29T09:32:52Z","snapshot_observed_at":"2026-08-16T13:49:33.239387Z","submitted_at":"2024-05-25T05:52:04Z","title":"Continuous Temporal Domain Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16075","snapshot_observed_at":"2026-08-15T20:36:25.526254Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.526254Z"},"links":{"cited_paper":"/paper/2405.16075","citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:1ff77331997be22816a41142b6ffda9e8fae300ba283e640d17a8f5a55b3c867","observation_id":"09a535c5-decc-4efe-8939-f7e1a5a3df59","resolution":{"observed_at":"2026-08-15T20:36:25.526254Z","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":"2026-08-15T20:36:25.531665Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.531665Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:a845890e473976432bcd6404351b84b72fa36706a33830faeffa6a20c540534f","observation_id":"d6ee1ca4-8d0e-4b91-8c59-598d86b64832","resolution":{"observed_at":"2026-08-15T20:36:25.531665Z","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":"2026-08-15T20:36:26.450490Z","title":null,"venue":null,"work_id":"56c52549-9a8c-40ff-8314-e1aa1c57048c","year":2022},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.536236Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:c80b1b0363b1650cd33fa22c5cf18dc7d92a063fde6c2fdf927bc974f82d9c3c","observation_id":"b92c459e-83b4-432b-b1ed-52bdcbdc6c2e","resolution":{"observed_at":"2026-08-15T20:36:26.455237Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.435477Z","title":null,"venue":null,"work_id":"5e6b1d04-137b-4213-9822-e5d1105ddfde","year":2023},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.540797Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:0424b15573d054702f59197ee121980f236ba7af7a175661a3327695080e348d","observation_id":"2ebbade6-7e58-4544-8846-72a9eef5094b","resolution":{"observed_at":"2026-08-15T20:36:26.440180Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.420793Z","title":null,"venue":null,"work_id":"0f2d7405-4dd4-485b-af31-5bc75e7c7e10","year":2023},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.545508Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:42434e574e6e8056b044811ae35c9338e4c9d3a1cb65936692dd0d42d7b46cd9","observation_id":"411a9dfb-c6da-4edd-90dd-8f8cc8f1fa15","resolution":{"observed_at":"2026-08-15T20:36:26.425413Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.404177Z","title":"Cheng, Z","venue":null,"work_id":"7fa844ac-8f92-4d6f-81ae-b458c728e26e","year":2024},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.550207Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:f3966321bf804e0b689a60f76d010860cfe8b918e03abb68365dc79977c9c63f","observation_id":"39b3a0dc-7f8e-423e-b271-c8e3ef12f431","resolution":{"observed_at":"2026-08-15T20:36:26.410044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.05192","last_updated":"2024-04-08T04:41:39Z","snapshot_observed_at":"2026-08-16T14:02:53.230510Z","submitted_at":"2024-04-08T04:41:39Z","title":"ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.05192","snapshot_observed_at":"2026-08-15T20:36:25.555003Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.555003Z"},"links":{"cited_paper":"/paper/2404.05192","citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:79fcb5b47ae1ef17f01fce066ef7c0aeff2e103c26e2a6b3f3c4d9723e35f0b7","observation_id":"721724dd-4c26-48d9-ae43-f01fcb577e9c","resolution":{"observed_at":"2026-08-15T20:36:25.555003Z","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":"2026-08-15T20:36:26.389369Z","title":null,"venue":null,"work_id":"70e2fd21-6286-43d0-99fd-a71ec3092cc2","year":2024},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.559716Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:951f7d2f883c1730b0acca98d3022822512d3246e806d807c809395e7644fa11","observation_id":"6314809a-62b5-4f3d-9dfc-987c22e38f95","resolution":{"observed_at":"2026-08-15T20:36:26.394082Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.374220Z","title":null,"venue":null,"work_id":"8a800dd5-b058-466d-8750-c1c90e519a0a","year":1931},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.564618Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:c1bc11848126bee78c086b600a220e3b268363734ba4fadf261cce291066eab5","observation_id":"15f8fd82-3e55-459d-8967-2c353deac533","resolution":{"observed_at":"2026-08-15T20:36:26.378810Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.12086","last_updated":"2021-10-29T21:12:18Z","snapshot_observed_at":"2026-08-17T16:20:51.937115Z","submitted_at":"2021-02-24T06:18:16Z","title":"Modern Koopman Theory for Dynamical Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.12086","snapshot_observed_at":"2026-08-15T20:36:25.569289Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.569289Z"},"links":{"cited_paper":"/paper/2102.12086","citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:835285e9e7786b36d73dcee4318122a34a1cbd4063d2ce8dab9245508208a88e","observation_id":"7f9cc3c1-7156-42a3-aa8c-30e9743a7586","resolution":{"observed_at":"2026-08-15T20:36:25.569289Z","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":"2026-08-15T20:36:26.357205Z","title":null,"venue":null,"work_id":"d2d3dfe6-9c1a-455b-9b45-73fc97d3e9f5","year":2020},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.574161Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:2df7a978ef4cd062aad27576cce73e0be5b8665fb00a5108963fc4a5d2530015","observation_id":"097e650d-50cc-4731-bc7d-f322deece8bb","resolution":{"observed_at":"2026-08-15T20:36:26.362391Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.340924Z","title":null,"venue":null,"work_id":"bad035ac-6cc3-4812-b1f5-1acab4c37057","year":2025},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.579599Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:6b5afb9c18d688850f0ce65a7a2e36ecc4e7a32e4b3d38aca26ff3ab5518464b","observation_id":"ab884f16-7b49-4c30-a8d1-99fcfaa48ce9","resolution":{"observed_at":"2026-08-15T20:36:26.346192Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.323870Z","title":null,"venue":null,"work_id":"d98dbd32-4b3e-4557-82ae-6e288e0abb93","year":2023},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.584069Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:7c43f864893659a6f348a75f44b099fc990f74e26c29b856a10a94a8287ffbb4","observation_id":"e420beac-f1da-4df8-b399-c99024c090c9","resolution":{"observed_at":"2026-08-15T20:36:26.328769Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.307517Z","title":null,"venue":null,"work_id":"ec26686d-2fd0-4e1a-b472-9e0c9c793d4b","year":2025},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.588673Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:1f9adb0f1ea186f626db008554c375141654647aa48f053fbe627e65aa745978","observation_id":"00a5cba3-9eac-4a3e-96af-0ef2b8ced060","resolution":{"observed_at":"2026-08-15T20:36:26.312869Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.291783Z","title":null,"venue":null,"work_id":"d86d9396-37c5-4f47-bf43-d0260092f3fe","year":2022},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.592965Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:24f6bc52e878bc46272273d781bf2e11ec81b488380c5e24e308f19632675d3b","observation_id":"9c25f5cb-59ee-4a6d-8b90-ee8168a2fe7c","resolution":{"observed_at":"2026-08-15T20:36:26.296556Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.274809Z","title":null,"venue":null,"work_id":"9e8199f3-9637-4923-8480-3ce4a3570b17","year":2024},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.597230Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:5615e08f632270277bfa8cc32d0d97ef0bddef640a07941ffedbba60f47b1c42","observation_id":"f4ca205b-e050-4ebf-be23-210d831fde08","resolution":{"observed_at":"2026-08-15T20:36:26.280252Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.257498Z","title":null,"venue":null,"work_id":"33f7c759-7e1b-4dac-b572-26f21a9d123f","year":2000},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.601785Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:c8aea04cb289fd569aa7179b0279b727a8bde03214e5f1928d47a9513eff83bf","observation_id":"1bde1c9e-dc49-4a1e-901d-b4e21f3bfd31","resolution":{"observed_at":"2026-08-15T20:36:26.263121Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.240490Z","title":"Zhang, A","venue":null,"work_id":"511159a0-99be-4cb0-a359-d039937ebec5","year":2022},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.606397Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:959961d6410e7729acff6031393dd320c79e2580f34ebffd1cc4f15416eab4ef","observation_id":"9bb43604-36f5-4def-a999-5cbc39c5ab01","resolution":{"observed_at":"2026-08-15T20:36:26.245485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.223824Z","title":null,"venue":null,"work_id":"ceb19271-ac32-4178-8514-4c3df913c97a","year":2021},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.610757Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:64aa6d094dc9420ae9d6cd701549b552bea9ec38c002e2e6f02e0e09afd25c92","observation_id":"acc9c191-9d39-4af8-919f-78312efbd972","resolution":{"observed_at":"2026-08-15T20:36:26.229114Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.07279","last_updated":"2024-07-10T00:01:56Z","snapshot_observed_at":"2026-08-16T13:35:36.685688Z","submitted_at":"2024-07-10T00:01:56Z","title":"Towards a theory of learning dynamics in deep state space models","version":1},"cited_work":{"arxiv_id":"2407.07279","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.07279","snapshot_observed_at":"2026-08-15T20:36:25.894130Z","title":"Towards a theory of learning dynamics in deep state space models","venue":"cs.LG","work_id":"1fedb2b9-fc2c-4650-817b-f29dbae4c3a4","year":2024},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.615600Z"},"links":{"cited_paper":"/paper/2407.07279","citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:0cedd51cd1e95774dd3e7309849f06cffa3c097c5806764aa8a51951ce56b9de","observation_id":"15dd3402-f3fb-499c-998e-6ebb3961650c","resolution":{"observed_at":"2026-08-15T20:36:25.899653Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.19718","last_updated":"2024-09-29T14:26:22Z","snapshot_observed_at":"2026-08-17T17:56:38.972137Z","submitted_at":"2024-09-29T14:26:22Z","title":"Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.19718","snapshot_observed_at":"2026-08-15T20:36:25.620430Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.620430Z"},"links":{"cited_paper":"/paper/2409.19718","citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:285cad968772f58c9eb608d0c924b65afcd5488bfaae4b6a49668a2069c92592","observation_id":"f91d4f97-897d-4082-ad7f-e9cb14cb14e9","resolution":{"observed_at":"2026-08-15T20:36:25.620430Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.11448","last_updated":"2019-11-04T16:39:12Z","snapshot_observed_at":"2026-07-06T08:24:29.472112Z","submitted_at":"2019-09-20T03:43:35Z","title":"Forward-Backward Splitting for Optimal Transport based Problems","version":3},"cited_work":{"arxiv_id":"1909.11448","doi":null,"metadata_source":"pith","pith_arxiv_id":"1909.11448","snapshot_observed_at":"2026-08-15T20:36:25.855720Z","title":"Forward-Backward Splitting for Optimal Transport based Problems","venue":"stat.ML","work_id":"c7513399-800f-41d9-b82f-38ee771aa929","year":2019},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.625300Z"},"links":{"cited_paper":"/paper/1909.11448","citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:bfadc6ea91f094d3e760fe45e8f5de0c8fa257fe1b63e9b832f4db267d7d2546","observation_id":"af744b70-512f-4ae0-8e8b-c22d7363260e","resolution":{"observed_at":"2026-08-15T20:36:25.861088Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.206616Z","title":null,"venue":null,"work_id":"87a7d5d3-bff9-4256-bc4f-f1b35d7e3682","year":2022},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.630775Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:1504d0022c77ba6b6fd10bb92a3abbd5ed73ef771812549b7862764bf7fb773e","observation_id":"3302fc1d-8ec7-44ee-8d6f-6c965529e622","resolution":{"observed_at":"2026-08-15T20:36:26.212105Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.189848Z","title":null,"venue":null,"work_id":"4637d198-552f-4173-a06d-46791b76165b","year":2024},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.635591Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:105af4def04aed6a8567dc32d2b8a04c334dabc703212c9a1e5c888443f1fc4c","observation_id":"586c07c3-faf7-4bed-be4b-f0e6653742ac","resolution":{"observed_at":"2026-08-15T20:36:26.194896Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.173089Z","title":null,"venue":null,"work_id":"36254755-33ec-407a-99d2-55924368e00c","year":2024},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.640474Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:d8de55da99dbc9967851ce26ca471bdc13e423497e755a8d9551558e0d2b17aa","observation_id":"db45ecac-8b3b-4a6a-bd6e-863e4bb82ed8","resolution":{"observed_at":"2026-08-15T20:36:26.178058Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:25.644912Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.644912Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:8f5001488b6b55caf10a756575545377f4edb2857cbebf9a9b75ee3932a5651e","observation_id":"adeb9c64-b434-4f5e-b380-c140184e564b","resolution":{"observed_at":"2026-08-15T20:36:25.644912Z","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":"2026-08-15T20:36:26.146905Z","title":null,"venue":null,"work_id":"16e9df2f-7362-4376-b088-d527c6e7beac","year":2024},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.649714Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:d1b9318717cd9d0bcb1553e4ce5561a39daa598d024d38e6de4f334666af02be","observation_id":"aec4ebff-6444-48a6-98fe-9c79e699a786","resolution":{"observed_at":"2026-08-15T20:36:26.151898Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.131484Z","title":null,"venue":null,"work_id":"337f251e-a43c-4b7e-9c94-dc172556742d","year":2024},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.654509Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:5166773e76fc5fd50e0754850e5d9bc123cbc700d3eff0673d027536f6dc98ca","observation_id":"962b51ac-ef81-44e5-a591-69e10a6838e0","resolution":{"observed_at":"2026-08-15T20:36:26.136487Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.115478Z","title":null,"venue":null,"work_id":"8f89dca5-547f-46e3-a88a-59d9c6acaf3a","year":2024},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.659440Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:ea316fbea99426d48a8bfc737a5a2900a757e70691756455dc91465bea92c135","observation_id":"e74f664c-8a1e-4856-b6dd-bd88e404393f","resolution":{"observed_at":"2026-08-15T20:36:26.120917Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.099592Z","title":null,"venue":null,"work_id":"8265b8ce-9ea7-4ddd-97ca-b2d7e5b12ae7","year":2024},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.663885Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:a5a04b62004e21f27644b4b432998e698dd3d42537eb5da47e57988b539821cf","observation_id":"2fe1bf05-6609-47f9-9ddc-b85ca236f4ea","resolution":{"observed_at":"2026-08-15T20:36:26.104372Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12335","last_updated":"2025-07-02T23:12:52Z","snapshot_observed_at":"2026-08-18T14:24:45.074223Z","submitted_at":"2024-03-19T00:48:25Z","title":"Temporally Consistent Koopman Autoencoders for Forecasting Dynamical Systems","version":3},"cited_work":{"arxiv_id":"2403.12335","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.12335","snapshot_observed_at":"2026-08-15T20:36:25.832667Z","title":"Temporally Consistent Koopman Autoencoders for Forecasting Dynamical Systems","venue":"cs.LG","work_id":"960e2a0b-b7b7-4731-b530-10a929300f74","year":2024},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.668643Z"},"links":{"cited_paper":"/paper/2403.12335","citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:723d97617170f5bc137c60b14cf032985133bf3e41ec7c0a17016c1e704e2aa7","observation_id":"6c7d91ac-fb6b-43b1-90db-e59ebed7e042","resolution":{"observed_at":"2026-08-15T20:36:25.838921Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.082904Z","title":null,"venue":null,"work_id":"5bf0296d-9cd7-4c0b-b349-65d6b3fcc620","year":2025},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.673637Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:d9b73a3f2cc7900aa43a086001151b49cc6e140cdef8c636e7b4c13e435ca7fd","observation_id":"3fb3e0d4-81d3-4160-a441-08c3d0f576e5","resolution":{"observed_at":"2026-08-15T20:36:26.087723Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.067310Z","title":"Machine learning foundations","venue":null,"work_id":"42021f53-929c-4f87-9a01-b841d80b933f","year":2021},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.678646Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:c1fc4460f18a39d3157b23d1254021d00dc2a693eef994ad6e5201dc19a50839","observation_id":"8617b5e5-a786-4113-b03f-3f148109041f","resolution":{"observed_at":"2026-08-15T20:36:26.072335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.050992Z","title":null,"venue":null,"work_id":"39023775-0c8b-4e04-bc56-75940b1e3be9","year":2019},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.683097Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:73a9db83b646e38f162df176e1880184236b9cee8a0bec059c0bdf677aed2460","observation_id":"a73d960d-2e66-4563-88b7-24bcde9ed2e0","resolution":{"observed_at":"2026-08-15T20:36:26.055782Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.035705Z","title":null,"venue":null,"work_id":"0ed6f0e8-a808-43b2-9875-641c175286e1","year":2012},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.687669Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:653e8c892229af804e4a5c7fab5e51f0f796313251df319bb7ca818c26a93c2d","observation_id":"390c65e8-26a7-4881-b8d5-02c71f04af5a","resolution":{"observed_at":"2026-08-15T20:36:26.040421Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T20:36:26.019430Z","title":null,"venue":null,"work_id":"f9f44672-69bf-4954-bc27-e4004bb1ddfe","year":null},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.692923Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:8436c6ff045e8ee8d289ecdec13abf7d3b3dd2671fd05522c03b422ef1051659","observation_id":"1671a24b-95a4-4d65-be73-526bf43a0d89","resolution":{"observed_at":"2026-08-15T20:36:26.024813Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"web/2019112","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:36:25.805620Z","title":"Raw Parameter","venue":null,"work_id":"2926cfb5-2fa0-4cc4-9906-89079dcd9d0c","year":2019},"citing_paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T20:36:25.697790Z"},"links":{"citing_paper":"/paper/2505.12585"},"observation_digest":"sha256:0749360578c33e8add47235a0028d0df3115f307f1ab3a3985ff8f573a6dd0df","observation_id":"9de0ddf2-83fb-4a5c-bfbf-40c11895ea56","resolution":{"observed_at":"2026-08-15T20:36:25.814914Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.12585","last_updated":"2025-05-19T00:38:18Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T08:17:14.184889Z","submitted_at":"2025-05-19T00:38:18Z","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":37,"verified_exact":5,"verified_fuzzy":6},"total_outbound_references":48},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2505.12585."}