{"as_of":"2026-08-21T10:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7315ee443d289910bb1ec0927ca286d16eb4abfb5d42fa6f199170d48a313c36","coverage":[{"denominator":64,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":64,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T17:06:03.409263Z","state":"measured"},{"denominator":66,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":66,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T17:12:07.198774Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T17:12:07.655636Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"cited_work":{"arxiv_id":"2502.06037","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.06037","snapshot_observed_at":"2026-08-05T17:12:07.655636Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","venue":"cs.LG","work_id":"527869f4-beea-4b49-aaf1-fd7f7cba9051","year":2025},"citing_paper":{"arxiv_id":"2509.06966","last_updated":"2025-08-22T23:22:41Z","snapshot_observed_at":"2026-08-17T19:26:41.996241Z","submitted_at":"2025-08-22T23:22:41Z","title":"Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-05T17:12:07.198774Z"},"links":{"cited_paper":"/paper/2502.06037","citing_paper":"/paper/2509.06966"},"observation_digest":"sha256:101cb12f25b32d04aae311f96f69fa69380fc9be1cdaa6182fa122ed8bd9ed1f","observation_id":"585205d3-849f-4971-9d79-5f007035191f","resolution":{"observed_at":"2026-08-05T17:12:07.663014Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.06037","snapshot_observed_at":"2026-08-04T16:49:32.617898Z","title":"Olivares, Michał Wiliński, Nina Żukowska, and Artur Dubrawski","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.11575","last_updated":"2026-06-10T07:42:17Z","snapshot_observed_at":"2026-08-17T22:09:51.150811Z","submitted_at":"2025-09-15T04:39:50Z","title":"A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models","version":3},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-04T16:49:32.617898Z"},"links":{"cited_paper":"/paper/2502.06037","citing_paper":"/paper/2509.11575"},"observation_digest":"sha256:27bdf2b7fff0e21ebfe60c9cbb598d07734461ddfae392cfc0f09290747ba801","observation_id":"4a0108e0-a14e-4f95-b2bd-b17f00667905","resolution":{"observed_at":"2026-08-04T16:49:32.617898Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.06037/citation-record","integrity":"/paper/2502.06037/integrity","json":"/paper/2502.06037/citation-record.json","paper":"/paper/2502.06037"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:06:02.944460Z","title":"Gift-eval: A benchmark for general time series forecasting model evaluation,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:02.944460Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:759ac51ff88cd33c8b013e70495107fdfb31f2c4ece7cc250c65f4b997763218","observation_id":"a1b32696-c4bd-48b4-93cb-313ad5699482","resolution":{"observed_at":"2026-08-08T17:06:02.944460Z","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":"2026-08-08T17:06:04.815184Z","title":"Physics of language models: Part 3.2, knowledge manipula- tion, 2023","venue":null,"work_id":"8bc59927-983a-474a-b45a-8a5823960e61","year":2023},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:02.953164Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:f392a8284104ed0008004123dbe40bbc2370efc36f4ad0208e2f124b3b74482c","observation_id":"98afaf72-eb2d-4fc2-931e-b17479e0114d","resolution":{"observed_at":"2026-08-08T17:06:04.838791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.755957Z","title":"Physics of language models: Part 3.1, knowledge storage and extraction","venue":null,"work_id":"f9267d8a-6928-4f63-90c4-b1570e4fcc10","year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:02.957027Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:ecac0ef52b3a669ad261dffeb1a1abcbace38ce28fe15a2bd041af811eb53304","observation_id":"857c3e0c-dfec-4639-884d-575908406ad9","resolution":{"observed_at":"2026-08-08T17:06:04.782875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:02.960699Z","title":"Maddix, Hao Wang, Michael W","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:02.960699Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:655845b1e9b99b78bf84cf45f9eb38e25aecd19d8ff3dcb3f5e957e5c5a4ff96","observation_id":"16a36fe2-6e6e-46db-b328-db07d8f0864a","resolution":{"observed_at":"2026-08-08T17:06:02.960699Z","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":"2026-08-08T17:06:04.719781Z","title":"Zico Kolter, and Vladlen Koltun","venue":null,"work_id":"495eb6e8-1dc1-4d70-abaa-ee9e8209892c","year":2018},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:02.964349Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:1acf4d2d10080be924c0830077e7540a44dfed380fcb7f24f81418f77e04dbef","observation_id":"d1a82976-a269-48d3-9bc1-d0c7699be9b9","resolution":{"observed_at":"2026-08-08T17:06:04.723865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.708106Z","title":null,"venue":null,"work_id":"e8ea0923-a523-455b-a74a-58ae53142b51","year":1956},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:02.967745Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:fe4be8e10bce8e6340323b2564b8a964e5401c0f57a9422682e0cefec8574911","observation_id":"ea2fa3d7-9cb8-4e52-afc0-8700ce9b99ce","resolution":{"observed_at":"2026-08-08T17:06:04.711635Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.696867Z","title":"TimeSeriesExam: A time series understanding exam.NeurIPS 2024 Workshop on Time Series in the Age of Large Model, 2024","venue":null,"work_id":"8d0b1495-11fc-40bf-96a9-3b294179a6e9","year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:02.971062Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:1abcfa3d016beebdd23453a2a6f09765bf16c947c79e631c4d8ebbc79fa42b07","observation_id":"0dec5cd9-0d0b-478d-93d3-0221061e60b1","resolution":{"observed_at":"2026-08-08T17:06:04.700763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.685003Z","title":"Olivares, Boris N","venue":null,"work_id":"b2fb1787-8770-49fe-9c1d-4d6cde7e3c64","year":2022},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:02.974794Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:b24623fc673c084a0a6f2b13be37bcd559efe17d459b53e1f13ab31dcd30ecb5","observation_id":"6bb5eb1b-30f1-4b19-8167-c2e9c118e12e","resolution":{"observed_at":"2026-08-08T17:06:04.688948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.672909Z","title":"Yoder, Sercan ¨O","venue":null,"work_id":"d8a46ad3-d9a4-4720-b0ad-6ad77ca10bb9","year":2023},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:02.978418Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:8f38ab3215d50aa1eaa67b65edac48ddee673b1a6a4f8e5000ecb7095f37cabd","observation_id":"02f17d75-3b3a-42d2-9061-f4b545d26437","resolution":{"observed_at":"2026-08-08T17:06:04.677152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.661619Z","title":"Hallgrímsson, Maxwell A","venue":null,"work_id":"d3b4ea7b-1898-406a-a361-67b22123e303","year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:02.981954Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:c4c8ea0b006b4c34ee568fca821c9e370682be10dc796c32c506e3ddbcd15666","observation_id":"c68c7734-ce64-4584-860b-8994293ea7f0","resolution":{"observed_at":"2026-08-08T17:06:04.665473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.02143","last_updated":"2019-11-23T08:36:48Z","snapshot_observed_at":"2026-08-14T19:57:23.255421Z","submitted_at":"2018-01-07T06:06:31Z","title":"Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.02143","snapshot_observed_at":"2026-08-08T17:06:02.985535Z","title":"Deep bidirectional and unidirectional lstm recurrent neural network for network-wide traffic speed prediction.arXiv preprint arXiv:1801.02143, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:02.985535Z"},"links":{"cited_paper":"/paper/1801.02143","citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:ccbb023c9bb2d0ed4400bc99d8c28ce45afc40aa9f3cd6550d4f51a799da9201","observation_id":"b8df766e-c2fe-4ede-9d26-b15da12a7c47","resolution":{"observed_at":"2026-08-08T17:06:02.985535Z","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":"2026-08-08T17:06:02.989272Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:02.989272Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:37858428e3bdc3b30b6fc978b14b5e9b86a16c515da1208eea6b32f370463410","observation_id":"db6532e5-c953-44c6-864d-714757f61e04","resolution":{"observed_at":"2026-08-08T17:06:02.989272Z","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":"2026-08-08T17:06:02.993059Z","title":"A decoder-only foundation model for time-series forecasting, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:02.993059Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:c5f5f822f757b813b6d8e8dc0d47e5378ca5bb620555291b8c871bb1553715ef","observation_id":"ea9ecc22-829c-4199-8482-fa580ef49a7d","resolution":{"observed_at":"2026-08-08T17:06:02.993059Z","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":"2026-08-08T17:06:04.635092Z","title":"Statistical comparisons of classifiers over multiple data sets","venue":null,"work_id":"0c2226da-09d0-4de4-b10d-804eda626297","year":2006},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.005570Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:040114b682f1263e4b26731066c5b5cc6221ad81656b4914249e6f7dbe72913f","observation_id":"7bc07e62-8bf8-467a-8b1e-cdca080e9cd0","resolution":{"observed_at":"2026-08-08T17:06:04.639092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.13867","last_updated":"2025-01-08T14:08:11Z","snapshot_observed_at":"2026-08-16T13:50:31.791023Z","submitted_at":"2024-05-22T17:48:17Z","title":"Scaling-laws for Large Time-series Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.13867","snapshot_observed_at":"2026-08-08T17:06:03.018426Z","title":"Scaling-laws for large time-series models.arXiv preprint arXiv:2405.13867, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.018426Z"},"links":{"cited_paper":"/paper/2405.13867","citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:bc1c6f0004e53405ea9b5fb68cb61f673fbd6c9cc5db0434396c2ec384d040b5","observation_id":"d5982cbc-c621-4a23-ade6-42c220f77682","resolution":{"observed_at":"2026-08-08T17:06:03.018426Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.03955","last_updated":"2024-11-07T15:07:22Z","snapshot_observed_at":"2026-08-19T04:10:01.172140Z","submitted_at":"2024-01-08T15:21:21Z","title":"Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series","version":8},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.03955","snapshot_observed_at":"2026-08-08T17:06:03.034226Z","title":"TTMs: Fast Multi-level Tiny Time Mixers for Improved Zero- shot and Few-shot Forecasting of Multivariate Time Series.arXiv preprint arXiv:2401.03955, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.034226Z"},"links":{"cited_paper":"/paper/2401.03955","citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:356425f655d3c1ca72e4ef5c4d357892d6f0aeb9137ddc770f9f6388a51c7a4c","observation_id":"adf20b76-d87f-4185-b7cc-717fe7f2df69","resolution":{"observed_at":"2026-08-08T17:06:03.034226Z","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":"2026-08-08T17:06:04.623454Z","title":"Cognitron: A self-organizing multilayered neural network.Biol","venue":null,"work_id":"a50d21cd-e030-429e-80db-6ef05ba813ab","year":1975},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.051973Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:e6a7e414677581257b11ce2f90cfc155cc250c101253ed41e06a8d05a0612826","observation_id":"e82a3bc0-41de-4a24-9ca8-4b814386c62f","resolution":{"observed_at":"2026-08-08T17:06:04.627450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.611702Z","title":"Units: A unified multi-task time series model","venue":null,"work_id":"685a6d23-499c-4e21-8928-d8b9d7ab3733","year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.075611Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:f5b57ea2276a93fd954d9c59f83f71af40d494253c45687c070030a80179113f","observation_id":"e650a15c-43bd-4b46-b981-aed8de0efc30","resolution":{"observed_at":"2026-08-08T17:06:04.615579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.599626Z","title":"TimeGPT-1, 2023","venue":null,"work_id":"b5e50d9e-690f-426c-9294-c7ad18a03c1b","year":2023},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.101662Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:a19009ae01a4866c7552af2be85bfad94b4b915f0030f489f6d84341996826d4","observation_id":"ee1dde33-2905-420a-846d-445e52396c51","resolution":{"observed_at":"2026-08-08T17:06:04.603730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.587461Z","title":"Aqua: A benchmarking tool for label quality assessment.Advances in Neural Information Processing Systems, 36, 2024","venue":null,"work_id":"9a94615b-0afa-44db-b48a-d61e1565eec4","year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.128202Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:f995e3342a8031e89ac785538587c13f88b8b7fc6dddd3754bcd3852a2949cba","observation_id":"d20d23d6-c5c1-4dd1-8ae2-5a22508daea8","resolution":{"observed_at":"2026-08-08T17:06:04.591651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.575584Z","title":"MOMENT: A family of open time-series foundation models","venue":null,"work_id":"b7ad1cd3-bec3-41a6-b8d3-15a9a3bbec65","year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.156169Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:9bd475e14e2b2e3c0ee9881f52c70cb508505619f2534780dbb8bbf2b51585ae","observation_id":"f371285d-873e-4340-87c0-a97419dda1cd","resolution":{"observed_at":"2026-08-08T17:06:04.579941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.509613Z","title":"How does gpt-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model","venue":null,"work_id":"be9370b4-b1af-4dbe-97c4-7a2b556da8ac","year":2023},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.181950Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:959389f56da4f31b305b222d943d8eef628108999cbd4cd684f7403731b69ab1","observation_id":"e605fa67-7a6f-4c74-8d58-000ca2344e0a","resolution":{"observed_at":"2026-08-08T17:06:04.546415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.433810Z","title":null,"venue":null,"work_id":"f189c342-937f-432a-a8c6-d81ffa6b1ac2","year":2008},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.185355Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:76d42dedafa1ed292f25aba872e9615bcea87b87db60094fdab880c597b749c3","observation_id":"7d8a18b1-0263-40c5-a1de-48370c9e3066","resolution":{"observed_at":"2026-08-08T17:06:04.474545Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.358299Z","title":"Olivares.Forecasting: Principles and Practice, the Pythonic Way","venue":null,"work_id":"e9dc5922-f0c6-4bb3-873e-754bb0cbae0e","year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.189103Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:ce99e6b86889b81c2fe8dd45c7b06c49f2e4104839aeaa17c8fc6f1bb6763de4","observation_id":"4e651570-0735-4382-bc10-015a4e807a78","resolution":{"observed_at":"2026-08-08T17:06:04.385205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:03.192702Z","title":"Deep learning for time series classification: a review.Data Mining and Knowledge Discovery, 33(4):917–963, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.192702Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:a36970a4c172e5aff50307e234a681ac4740f5a4c33fd22a9e2edf5ae171e0c3","observation_id":"71d868dc-62d3-4e76-adf8-1c3ffb847b34","resolution":{"observed_at":"2026-08-08T17:06:03.192702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.14343","last_updated":"2024-03-07T16:41:10Z","snapshot_observed_at":"2026-08-19T17:35:22.708446Z","submitted_at":"2023-04-27T17:19:26Z","title":"LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.14343","snapshot_observed_at":"2026-08-08T17:06:03.196278Z","title":"Libcity: A unified library towards efficient and comprehensive urban spatial-temporal prediction, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.196278Z"},"links":{"cited_paper":"/paper/2304.14343","citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:f61ed96c27bf8256d41b120914e0ccf053cd540455d221df272c72dd6897e0d7","observation_id":"389ca159-6e39-4b86-9fd2-34499c1c3eaa","resolution":{"observed_at":"2026-08-08T17:06:03.196278Z","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":"2026-08-08T17:06:04.290056Z","title":"Lake and Marco Baroni","venue":null,"work_id":"eea9723b-b5dc-4d5a-a9b6-ad7000a9b1d0","year":2018},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.200299Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:eff216c2da36c5fbbb74c9a367c988348b79c6347d75bf5568008cb4e782cfc3","observation_id":"bf468e61-d532-450d-9c4a-bd01325c7d4f","resolution":{"observed_at":"2026-08-08T17:06:04.301436Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.279093Z","title":"Arık, Nicolas Loeff, and Tomas Pfister","venue":null,"work_id":"39a53ada-1fad-4687-a490-278ca7e2b109","year":2021},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.203688Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:0c8f15f7ae84f20e968a5db1ae64c31f8a9e43291866a0dcbab5972858a6e3c1","observation_id":"4390acbc-cc04-4bdf-946f-ccdaa049be92","resolution":{"observed_at":"2026-08-08T17:06:04.282641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10469","last_updated":"2024-10-14T13:01:11Z","snapshot_observed_at":"2026-08-16T13:09:38.138983Z","submitted_at":"2024-10-14T13:01:11Z","title":"Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10469","snapshot_observed_at":"2026-08-08T17:06:03.206788Z","title":"Moirai-moe: Empowering time series foundation models with sparse mixture of experts.arXiv preprint arXiv:2410.10469, 2024","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.206788Z"},"links":{"cited_paper":"/paper/2410.10469","citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:5ca13aa21d8a7ed74fe394d1ac41fe0e584783c0711e904d7c75314750e45edc","observation_id":"71d0a4db-9dbc-4b85-b3ba-b19ee61a9352","resolution":{"observed_at":"2026-08-08T17:06:03.206788Z","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":"2026-08-08T17:06:04.267641Z","title":"iTransformer: Inverted transformers are effective for time series forecasting, 2024","venue":null,"work_id":"2855bef4-63e8-44f7-b350-94c1585a0903","year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.210960Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:5a040a1670063091055b00c10352c8fcc40d328694411fa24e5685f210606215","observation_id":"ef9cf9d2-b939-4d0c-bb03-f9f83388ab50","resolution":{"observed_at":"2026-08-08T17:06:04.271503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04803","last_updated":"2025-03-02T11:22:35Z","snapshot_observed_at":"2026-08-17T03:27:45.348360Z","submitted_at":"2024-10-07T07:27:39Z","title":"Timer-XL: Long-Context Transformers for Unified Time Series Forecasting","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.04803","snapshot_observed_at":"2026-08-08T17:06:03.214221Z","title":"Timer-xl: Long- context transformers for unified time series forecasting.arXiv preprint arXiv:2410.04803, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.214221Z"},"links":{"cited_paper":"/paper/2410.04803","citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:422051b1244380402e7a3c7a603be9400997ea61ea452b6b18832ed625c665e7","observation_id":"b705e6e4-6367-42d6-b68e-072a95bde545","resolution":{"observed_at":"2026-08-08T17:06:03.214221Z","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":"2026-08-08T17:06:04.256592Z","title":"Timer: Generative Pre-trained Transformers Are Large Time Series Models","venue":null,"work_id":"387045bf-07a6-4155-ad69-9d86ff48264b","year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.217943Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:e68acab42591caa8c17d4ef388f3e7232e03e4b9913ae67b930fe1cd05aef27c","observation_id":"a8303647-c57b-4731-8aaf-6b379417bf94","resolution":{"observed_at":"2026-08-08T17:06:04.260608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.245516Z","title":"Merrill, Mingtian Tan, Vinayak Gupta, Tom Hartvigsen, and Tim Althoff","venue":null,"work_id":"66d3df78-426b-4172-80d8-24b28bd45f87","year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.221428Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:5003aab89ad27606edbc6e852695ca1e5258dc7f8db0aed479c5793c01ad82a5","observation_id":"30da234f-5da7-4ce2-a3b7-b93e4570c59f","resolution":{"observed_at":"2026-08-08T17:06:04.249046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.234503Z","title":"Subseasonalclimateusa: A dataset for subseasonal forecasting and benchmarking","venue":null,"work_id":"87f03d19-72f5-4b32-98e6-6de01f731972","year":2023},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.224818Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:eb71f8ad389a352c8a5688bcfce8a8f45043598e91c13e86c4f5959784dc5803","observation_id":"3adc7f1e-663b-4a95-8877-0640ee4e1607","resolution":{"observed_at":"2026-08-08T17:06:04.238312Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.223590Z","title":null,"venue":null,"work_id":"67b8443c-662a-4f13-8f1c-15ece8a29067","year":2010},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.228795Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:a1a5354744f852b1cb9f4e014696b169bb80a4fa594fce85d27ebffcb8dcc64a","observation_id":"6dd30b9e-2899-4b13-b36c-2072904801e6","resolution":{"observed_at":"2026-08-08T17:06:04.226968Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.213612Z","title":"Basisformer: Attention-based time series forecasting with learnable and interpretable basis","venue":null,"work_id":"c8371346-68ca-4f5b-a2c9-1b979a20216e","year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.232147Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:2b2ca1e467aeceab67ce0f741dc4741dabfb9c9dfe7003b530919d76c2d99859","observation_id":"f25943d2-e7e6-4501-926e-eaa1b55df1e8","resolution":{"observed_at":"2026-08-08T17:06:04.216991Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.202318Z","title":"Nguyen, and Phanwadee Sinthong an Jayant Kalagnanam2","venue":null,"work_id":"968a5cd6-e55b-493f-88a2-ebea4e143625","year":2023},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.235735Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:67a200d8e5cb9470bb746caa5ea6376c47233820ab72d0e7fc171a59c9fcde2f","observation_id":"a2c0da33-0865-485f-8eaf-f56125b3f090","resolution":{"observed_at":"2026-08-08T17:06:04.206056Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.191580Z","title":"Olivares, Cristian Challu, Grzegorz Marcjasz, Rafal Weron, and Artur Dubrawski","venue":null,"work_id":"f05642df-a2bb-4606-8a04-e308259ff5a9","year":2022},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.239662Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:4eba5449a1877ca20d816eb4ad440812ea608eac4d35adf3bdc8c220ab24f43a","observation_id":"5c420e7d-c286-4683-9422-934fcea9ee37","resolution":{"observed_at":"2026-08-08T17:06:04.195152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.181247Z","title":"Olivares, Cristian Challú, Federico Garza, Max Mergenthaler Canseco, and Artur Dubrawski","venue":null,"work_id":"5830fea8-4641-42b0-be8e-c59fbcb7c0b4","year":2022},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.243671Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:38f8e84a81e880036b5eb9a53d87c063b7eb1ff38c930232a20f6b957fa3f4a8","observation_id":"5c36a629-73ff-479b-987b-e9d1d3209c23","resolution":{"observed_at":"2026-08-08T17:06:04.184696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.169744Z","title":"Oreshkin, Dmitri Carpov, Nicolas Chapados, and Yoshua Bengio","venue":null,"work_id":"e82772f4-4fea-4e52-9a1c-22f6946ef3fb","year":2020},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.246621Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:66b4ffb5da947a902e6d8f880fd9780af5e5f07e0b2f44c2a7a258bce7e913be","observation_id":"46b24e28-e436-4d6b-94d4-756d66762f58","resolution":{"observed_at":"2026-08-08T17:06:04.173380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.116158Z","title":"Lag-Llama: Towards foundation models for probabilistic time series forecasting, 2024","venue":null,"work_id":"856382f9-720b-41a5-917a-af89427ea1e6","year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.249667Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:d57424ab72ab753bf8ad308c809ef06fb39a8a618f38fddf36fd0c5be6e45bb2","observation_id":"81acb33a-06f4-4fc3-9943-165674c04dfc","resolution":{"observed_at":"2026-08-08T17:06:04.151990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:04.015264Z","title":"The perceptron: A probabilistic model for information storage and organiza- tion in the brain.Psychological Review, 65(6):386—-408, 1958","venue":null,"work_id":"d249ef14-4e07-41d7-aec6-063f9cba0131","year":1958},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.252585Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:4d016c27db5ee143f77967121a26045c1717695ee1eebb3a77cef07c64d24fc7","observation_id":"f94882fb-fde7-4c69-9acf-ee88469f2bb0","resolution":{"observed_at":"2026-08-08T17:06:04.047037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:03.902133Z","title":"Long short-term memory based recurrent neural network architectures for large vocabulary speech recognition, 2014","venue":null,"work_id":"cb0c0c8d-5af7-4f1c-81d4-20390c50bc5d","year":2014},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.255759Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:4892549bdcb3489a2be811ef7e224594721c105d9cb9a40284e17cfae777e9d6","observation_id":"a290f58f-0857-47a7-9033-dadf72f3b5bc","resolution":{"observed_at":"2026-08-08T17:06:03.963898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.16040","last_updated":"2025-02-27T05:38:14Z","snapshot_observed_at":"2026-08-18T09:55:20.793664Z","submitted_at":"2024-09-24T12:42:18Z","title":"Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.16040","snapshot_observed_at":"2026-08-08T17:06:03.258620Z","title":"Time-moe: Billion-scale time series foundation models with mixture of experts.arXiv preprint arXiv:2409.16040, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.258620Z"},"links":{"cited_paper":"/paper/2409.16040","citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:960898e4905bf44497e7d435df0b813da6356ad373d38c139264882ca0e73947","observation_id":"3867702d-9f07-412b-858e-643e0152e4c3","resolution":{"observed_at":"2026-08-08T17:06:03.258620Z","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":"2026-08-08T17:06:03.853361Z","title":"Merrill, Vinayak Gupta, Tim Althoff, and Thomas Hartvigsen","venue":null,"work_id":"06b0bf81-dcb2-4de5-b85f-8921a683bca5","year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.261952Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:d8e7e9b8a6dee96ae3ab40a94cf4287ad055bee4add20999305e227c7982580b","observation_id":"7159e79a-0ba9-44b6-85e3-378590915e8b","resolution":{"observed_at":"2026-08-08T17:06:03.864479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:03.842748Z","title":"WaveNet: A generative model for raw audio, 2016","venue":null,"work_id":"74d8aeee-22d1-428e-84a5-8a1e3e17aa01","year":2016},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.265171Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:da13421b17ec417a29369233063255064e4f4e0a4f6ded69bb6b5dbcb63a114d","observation_id":"55b197c1-9867-4b84-8aa3-8c86a7a40297","resolution":{"observed_at":"2026-08-08T17:06:03.846590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:03.830841Z","title":null,"venue":null,"work_id":"c3a28e04-b97b-4ad2-bbd9-f5a1222d9f0d","year":2017},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.268431Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:25c4fef53aeab2eed9eb786937ff6d2d07b1c6b73266ca1a6cb16a3d37a0b132","observation_id":"5a5882b1-2f50-49bf-9155-3ff455d3a5bc","resolution":{"observed_at":"2026-08-08T17:06:03.834501Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:03.819072Z","title":"Grokked transformers are implicit reasoners: A mechanistic journey to the edge of generalization","venue":null,"work_id":"a72c858d-a870-4afb-877a-027d43205641","year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.271831Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:c109c8b483d4e3ff771f740f56e9325b566d77afe300f8cb91ea6bfc9589f429","observation_id":"31978ae6-54f5-4c5b-ba5c-6d397d7c61fd","resolution":{"observed_at":"2026-08-08T17:06:03.822603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:03.807518Z","title":"Exploring representations and interventions in time series foundation models","venue":null,"work_id":"703f2ecb-a308-4b20-b929-9a7c1801fb99","year":2025},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.275271Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:a75e8544a309f8582f5b00f5fee20d52b1cf50516e50893af2caf85a79147f8d","observation_id":"1c786a2c-ec6c-4baf-b1c1-d965de6e5ed3","resolution":{"observed_at":"2026-08-08T17:06:03.811609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:03.796659Z","title":"Context is key: A benchmark for forecasting with essential textual information, 2025","venue":null,"work_id":"eef78bb1-4a30-4b86-bb0a-c0a87ec33206","year":2025},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.298746Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:944908b6bb93c82812aa20e0b0e2bf4f37739a7beba6efc3f001765d57e218d0","observation_id":"21990e68-1417-4bfb-bf83-8e849c8cf213","resolution":{"observed_at":"2026-08-08T17:06:03.800222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:03.785797Z","title":null,"venue":null,"work_id":"b006d00a-bbbe-4504-a301-4b774ea68665","year":2020},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.325654Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:b34dc3c57ac807eb48dc1f5d4d74d621ee8432c6a9dbbeff4b2653180f6e5088","observation_id":"d261a187-bc8c-48c0-8d94-43129b996a09","resolution":{"observed_at":"2026-08-08T17:06:03.789260Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05852","last_updated":"2025-01-21T18:06:03Z","snapshot_observed_at":"2026-08-19T12:40:36.749110Z","submitted_at":"2024-11-06T22:00:07Z","title":"$\\spadesuit$ SPADE $\\spadesuit$ Split Peak Attention DEcomposition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.05852","snapshot_observed_at":"2026-08-08T17:06:03.347015Z","title":"Olivares, Boris Oreshkin, Sunny Ruan, Sitan Yang, Abhinav Katoch, Shankar Ramasubramanian, Youxin Zhang, Michael W","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.347015Z"},"links":{"cited_paper":"/paper/2411.05852","citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:b9c934c5ec25f474a9d5719f4b797af302cc49a3b447900e736db9c17a06569e","observation_id":"09540968-0f7a-45f5-8357-21fa463ac0dd","resolution":{"observed_at":"2026-08-08T17:06:03.347015Z","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":"2026-08-08T17:06:03.362357Z","title":"Unified training of universal time series forecasting transformers","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.362357Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:26c2a2286b700399e0c0dbd57e48f36a377f99e1b80681be7dce5a527bffc33c","observation_id":"85422b85-d1cd-4f59-bd7d-208f01608d68","resolution":{"observed_at":"2026-08-08T17:06:03.362357Z","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":"2026-08-08T17:06:03.766995Z","title":"Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting, 2021","venue":null,"work_id":"08ffda0f-33d5-4769-8ef6-6e1a17339521","year":2021},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.376925Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:42d9daa4c2a6c56bb832d89a5fed344c08be15a54aa0fb4f32eca9596d754a90","observation_id":"7e103c20-15ab-4028-8028-adc975c5d5ce","resolution":{"observed_at":"2026-08-08T17:06:03.771363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:03.754851Z","title":"TimesNet: Temporal 2d-variation modeling for general time series analysis","venue":null,"work_id":"42176414-2924-496c-9bb0-f42e7ae78468","year":2023},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.380419Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:f73f9a058fc7ef92460951bbd2d3d792a2520b5b9f593909c34c35d7d1d24e26","observation_id":"8738a88c-3f28-4c4b-9008-0354b9558153","resolution":{"observed_at":"2026-08-08T17:06:03.759052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-08T17:06:03.683332Z","title":"Rethinking fourier transform from a basis functions perspective for long-term time series forecasting","venue":null,"work_id":"509ac256-f546-4c53-906f-e6f77b87ab43","year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.383355Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:abb0c6db3721625bc8bf5c1809687e9ee2a43f7047ae2d8fefb779c631509202","observation_id":"3bb2ac17-a851-4cdb-b04f-3651e0b4a26a","resolution":{"observed_at":"2026-08-08T17:06:03.745391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16837","last_updated":"2025-05-31T11:20:49Z","snapshot_observed_at":"2026-08-17T19:25:01.286150Z","submitted_at":"2024-02-26T18:57:54Z","title":"Do Large Language Models Latently Perform Multi-Hop Reasoning?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16837","snapshot_observed_at":"2026-08-08T17:06:03.386382Z","title":"Do large language models latently perform multi-hop reasoning?arXiv preprint arXiv:2402.16837, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.386382Z"},"links":{"cited_paper":"/paper/2402.16837","citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:eb03d6be45231f821d81a9fb22bf0c3ac9b6cab0685105eccc2abf8ae9a102a5","observation_id":"c36ab761-5ec1-4de4-b878-52d13683f14e","resolution":{"observed_at":"2026-08-08T17:06:03.386382Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12360","last_updated":"2025-03-18T06:54:45Z","snapshot_observed_at":"2026-08-20T16:32:34.080420Z","submitted_at":"2024-10-16T08:23:39Z","title":"Towards Neural Scaling Laws for Time Series Foundation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12360","snapshot_observed_at":"2026-08-08T17:06:03.389899Z","title":"Towards neural scaling laws for time series foundation models.arXiv preprint arXiv:2410.12360, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.389899Z"},"links":{"cited_paper":"/paper/2410.12360","citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:5ed7ae74932f80f8e97a4230fc81826167c50d52a9ce16b1848690b57ffa3f06","observation_id":"ce7faa9b-ffc0-40ee-8a4f-df9dd6e066de","resolution":{"observed_at":"2026-08-08T17:06:03.389899Z","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":"2026-08-08T17:06:03.393818Z","title":"Are transformers effective for time series forecasting? InProceedings of the AAAI Conference on Artificial Intelligence, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.393818Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:d261c2cb7a78b801508a3346258fe7a956ca0fa6979eb581f51856b7fa6ecacc","observation_id":"89ed8ce3-a90f-4f0b-ae19-ff54d5a47818","resolution":{"observed_at":"2026-08-08T17:06:03.393818Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14795","last_updated":"2024-09-09T04:38:16Z","snapshot_observed_at":"2026-08-17T05:29:07.332098Z","submitted_at":"2023-05-24T06:48:41Z","title":"MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14795","snapshot_observed_at":"2026-08-08T17:06:03.397767Z","title":"MQuAKE: Assessing knowledge editing in language models via multi-hop questions.arXiv preprint arXiv:2305.14795, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.397767Z"},"links":{"cited_paper":"/paper/2305.14795","citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:6933c407a1af9c6349c803eba61913b3fccce1f53d2b9713ef2a96597fa77d89","observation_id":"c1cb1497-6c81-4009-ae7d-df98d0ca0b38","resolution":{"observed_at":"2026-08-08T17:06:03.397767Z","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":"2026-08-08T17:06:03.401372Z","title":"Informer: Beyond efficient transformer for long sequence time-series forecasting, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.401372Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:1871e4280fb96251be9cafdd94643cb34a0ea17b4739749b5a3c13461f2318cc","observation_id":"a5adea6e-774a-4d56-b232-591115c76b6e","resolution":{"observed_at":"2026-08-08T17:06:03.401372Z","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":"2026-08-08T17:06:03.583712Z","title":"Pre-trained large language models use fourier features to compute addition, 2024","venue":null,"work_id":"2725877f-1b28-4f5c-9bb3-62c9b07a773f","year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.405131Z"},"links":{"citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:f6e1464d0c5a1c7dac73cb2d874ce2c757546a92eaa8353d09d57dc58de92eae","observation_id":"c1f47286-2dbd-4fb0-9fb6-ebc6052c0c27","resolution":{"observed_at":"2026-08-08T17:06:03.615887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13530","last_updated":"2024-09-20T14:19:59Z","snapshot_observed_at":"2026-08-16T13:16:50.901069Z","submitted_at":"2024-09-20T14:19:59Z","title":"Towards Long-Context Time Series Foundation Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.13530","snapshot_observed_at":"2026-08-08T17:06:03.409263Z","title":"Pre\" column denotes the dataset properties prior to preprocessing, while “Post","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:03.409263Z"},"links":{"cited_paper":"/paper/2409.13530","citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:def2080ba84761cf06be04aaa90218205f680e3cf0b82f9bb643f921ffe95a88","observation_id":"52db3298-d1f1-473d-b55c-3fd11b2cd7bb","resolution":{"observed_at":"2026-08-08T17:06:03.409263Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10393","last_updated":"2024-11-11T04:48:24Z","snapshot_observed_at":"2026-08-19T22:16:12.128102Z","submitted_at":"2024-10-14T11:29:38Z","title":"GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10393","snapshot_observed_at":"2026-08-08T17:06:02.948463Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:02.948463Z"},"links":{"cited_paper":"/paper/2410.10393","citing_paper":"/paper/2502.06037"},"observation_digest":"sha256:70ab1cbbcd8e441c64093d1c25dc788a75a0e0086202c397fb11c7da4380381c","observation_id":"f4b05afa-7913-4e54-849b-ab595100d1b7","resolution":{"observed_at":"2026-08-08T17:06:02.948463Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2502.06037","last_updated":"2025-09-10T16:22:20Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T19:25:35.653790Z","submitted_at":"2025-02-09T21:21:55Z","title":"Investigating Compositional Reasoning in Time Series Foundation Models"},"reference_resolution":{"displayed":64,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":25,"verified_exact":0,"verified_fuzzy":38},"total_outbound_references":64},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 2 inbound Pith citation observations for arXiv:2502.06037."}