{"as_of":"2026-08-15T20:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:884ec89fba4a560171253e500d251861c209f955a4b2a302260f76b746baabf2","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:12:49.757838Z","state":"measured"},{"denominator":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.00013/citation-record","integrity":"/paper/2507.00013/integrity","json":"/paper/2507.00013/citation-record.json","paper":"/paper/2507.00013"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:12:50.401586Z","title":null,"venue":null,"work_id":"09328b14-8b2d-4141-9e2c-8cb9958ab1a8","year":2022},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.003347Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:5068f8eb007b22303914ba95475ef2f8d3637b893a58acc87f8f84fe67868d3a","observation_id":"b8832bdc-cd1b-46d0-a4d5-cf2a1af3e38a","resolution":{"observed_at":"2026-08-07T04:12:50.406866Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:12:50.385346Z","title":null,"venue":null,"work_id":"2aa8622b-b62f-485b-9c7b-1717af71706a","year":2019},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.027343Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:91044dafd39f3e7f88a9fe6e5af3a6a56178876c0d9527113d7c77c267018e56","observation_id":"2f76107e-a0fe-4e04-b837-3fcfbfc58681","resolution":{"observed_at":"2026-08-07T04:12:50.390800Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:12:50.369096Z","title":null,"venue":null,"work_id":"d8feae1f-686e-4312-a7ca-f5a286215b34","year":2020},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.057491Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:9b2db15e75e896c8da01388da06e3972a09a6f6471c0c23cd2f6eac916df5128","observation_id":"59307d21-a184-4c9e-b613-7f128a5ef23a","resolution":{"observed_at":"2026-08-07T04:12:50.374260Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:12:50.352033Z","title":null,"venue":null,"work_id":"5d984c04-96c4-4dec-85ef-d75d1e8d59cf","year":2018},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.079728Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:0d67a14e81b2d3a76dbe99661df47ae6a125ab7a30192be99b9dfb27abef4352","observation_id":"f9581c60-f810-401c-9e4a-999cab55c2ba","resolution":{"observed_at":"2026-08-07T04:12:50.357542Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:12:49.106832Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.106832Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:97dd3fd0276f00634d7466a7b4ca38e17fb58af7b2d12d5afa50eff7a3c97844","observation_id":"aaa0c998-0443-48f1-8cda-3a63c523e12b","resolution":{"observed_at":"2026-08-07T04:12:49.106832Z","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":"2026-08-07T04:12:50.326374Z","title":null,"venue":null,"work_id":"ac6f8563-2d96-4ae9-a406-a21cac9be6bc","year":2022},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.163103Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:27265dc60d78c072726772c67fa3388be759aeb125c97c88545cd2b750a6c8bc","observation_id":"4ee5d2b7-c55b-4d89-bbf6-0a0e5e74dcbe","resolution":{"observed_at":"2026-08-07T04:12:50.331301Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:12:49.198080Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.198080Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:03150cef093ec61953f5a6726bd781d87d10b05fc6d102561b899beba6e59471","observation_id":"e22978ad-35d2-4a78-bcd8-a06cbb9b69b5","resolution":{"observed_at":"2026-08-07T04:12:49.198080Z","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":"2026-08-07T04:12:50.290841Z","title":null,"venue":null,"work_id":"16db7de9-0166-4f4e-a053-1827c2f037e1","year":2024},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.260129Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:e1d14a2f65d828b2e1d5aa5f1c2f7f82243bd18d4f935c0d994cf72240b1f3fd","observation_id":"1e9b3022-a7b6-47cf-aeec-60f2a82b5f95","resolution":{"observed_at":"2026-08-07T04:12:50.295590Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-08-14T18:16:28.847993Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-07T04:12:49.287023Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.287023Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:c897407adfb56e260257f7f62dfa501420c612295c3c44b1d73dd6c9bbc473f7","observation_id":"af4dd5c5-0c92-4fd8-b5c5-97e9ee0d92fc","resolution":{"observed_at":"2026-08-07T04:12:49.287023Z","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":"2026-08-07T04:12:50.274656Z","title":null,"venue":null,"work_id":"0706a658-9750-4175-8369-32570b130a6d","year":2024},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.308405Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:a16c943cdaf79b4a82f8a9967863254bfadd9bd4497f35943c68adee7aec95be","observation_id":"7f461a65-3dc5-4854-a44f-b94ff93bdcb0","resolution":{"observed_at":"2026-08-07T04:12:50.280375Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:12:50.259525Z","title":null,"venue":null,"work_id":"b6d31bc9-a5df-4179-9ae1-494b4c7a44ce","year":2023},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.333184Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:94eb5253b6d49934b0230b40fc61cf263b474e272b2568a442bab223a37b7ade","observation_id":"c3a5900d-d083-46d9-871c-0c8b5e6f4605","resolution":{"observed_at":"2026-08-07T04:12:50.264190Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:12:50.243539Z","title":null,"venue":null,"work_id":"0e6fb54c-3115-469c-b36f-bdf0004d477d","year":2021},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.393039Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:9e957c1faa82a65030fca3b7c1be365771259127bb93d0392fefbe2c046951b9","observation_id":"576c7ad5-bc4d-41ba-aec7-b8777271694e","resolution":{"observed_at":"2026-08-07T04:12:50.248216Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:12:50.227338Z","title":null,"venue":null,"work_id":"bede0ba1-0ec8-4aa7-877c-38c8b983c2f9","year":2020},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.436335Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:3a0672c2fc07a7634e889f55acc663db23cb96a358d152524c1fd1625d9bafd3","observation_id":"e80f448e-1af7-4bc9-be5b-62cca7f972da","resolution":{"observed_at":"2026-08-07T04:12:50.232197Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:12:50.210658Z","title":null,"venue":null,"work_id":"c1cee5e5-aed7-4a26-8ed6-0ef116e36065","year":2022},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.462707Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:6a213022dfd55b9d183085f37d2182698edaa595320eb6020026edd62408ba0e","observation_id":"132f34e9-e45e-4c0b-99dd-f98127bdde1d","resolution":{"observed_at":"2026-08-07T04:12:50.215849Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.08871","last_updated":"2023-01-21T03:20:23Z","snapshot_observed_at":"2026-08-13T13:00:17.606419Z","submitted_at":"2023-01-21T03:20:23Z","title":"Ti-MAE: Self-Supervised Masked Time Series Autoencoders","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.08871","snapshot_observed_at":"2026-08-07T04:12:49.488556Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.488556Z"},"links":{"cited_paper":"/paper/2301.08871","citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:98b3114afdd311e4b8c0e158768a870fce99a18b5d0e6056f67046fe997e1500","observation_id":"1edbbc1f-35cc-4ae7-9b10-dd305dba2cf4","resolution":{"observed_at":"2026-08-07T04:12:49.488556Z","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":"2026-08-07T04:12:50.195592Z","title":null,"venue":null,"work_id":"80d6facd-3be1-4d62-a2c5-02ef115f0a22","year":2024},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.517713Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:243a886025de549617f82f8d858b137ebb35d30cd2ecec55014c3dabf42a392b","observation_id":"cd2386b1-9879-4dcd-ac5f-056a46e60ee4","resolution":{"observed_at":"2026-08-07T04:12:50.200148Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:12:50.178599Z","title":null,"venue":null,"work_id":"ba3f4049-4ad8-49da-9a85-4cb67435b8c1","year":2022},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.551896Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:fbe41cc24e7b1e43b56e25504dad72c40ac377a3ce1b5fa88fda5f739d676bea","observation_id":"9b05c12a-ed8a-4b98-9db2-20d2d20a0920","resolution":{"observed_at":"2026-08-07T04:12:50.184032Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:12:50.160688Z","title":"1991.Random variables and stochastic processes","venue":null,"work_id":"81487ab3-81a3-4cb3-9335-c5c9d0999aad","year":1991},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.577997Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:c3d42e60074893cab90c885b94dd3fe1ecfc57048a8055b0f342036b7da0d52f","observation_id":"3430183b-637a-4edc-be3e-a64fb261ad79","resolution":{"observed_at":"2026-08-07T04:12:50.166434Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06119","last_updated":"2024-10-17T01:13:51Z","snapshot_observed_at":"2026-08-15T04:29:21.705768Z","submitted_at":"2023-10-09T19:52:22Z","title":"Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06119","snapshot_observed_at":"2026-08-07T04:12:49.606143Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.606143Z"},"links":{"cited_paper":"/paper/2310.06119","citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:7909688e821ac79f49b46e5a1e4a5ff62f3e637e18c25540ae4afd638781500e","observation_id":"f6fcb732-1152-4511-bfeb-6e0133ed03a6","resolution":{"observed_at":"2026-08-07T04:12:49.606143Z","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":"2026-08-07T04:12:50.143723Z","title":null,"venue":null,"work_id":"b52b98b0-65bc-4249-bf75-3245146f78a2","year":2020},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.654085Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:7bd99eabdac0115620c75e23d2853587a407baf711fc1f6a126b56ad876149db","observation_id":"e3f99c43-4d1c-4c28-8621-4eebeaedec34","resolution":{"observed_at":"2026-08-07T04:12:50.148698Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:12:50.127075Z","title":"2018.Probability and random processes for electrical and computer engineers","venue":null,"work_id":"feb393e4-6943-4f0e-8115-4083b785147f","year":2018},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.682812Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:4369a3749a63f636ffac6acb9e8805bfa690feb79dce2da9eb8673b26d348d02","observation_id":"abc7ac76-038e-4515-b758-c16d12aa77ec","resolution":{"observed_at":"2026-08-07T04:12:50.132392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:12:50.111093Z","title":null,"venue":null,"work_id":"8f05b393-9ccd-449e-91ea-55a427af1269","year":2022},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.688250Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:8ba01b9a65c50d65f40fac7e69ff3da88fdbbea90bd878cc65c30685f76daed4","observation_id":"26668685-a957-490f-87cf-0e621e90b7a0","resolution":{"observed_at":"2026-08-07T04:12:50.115905Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:12:50.093835Z","title":null,"venue":null,"work_id":"a78f5a30-9d8e-4b63-b8b9-b937e1b22145","year":1930},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.693700Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:a31112b3486f0b1e6c5b0fee96fbdbd6b68b42d4f90fc8600cc507fea6fa8d25","observation_id":"5953c45c-4f85-498b-982a-5ece5207e5e5","resolution":{"observed_at":"2026-08-07T04:12:50.100120Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:12:49.698587Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.698587Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:0609b3e50ec6cb44fa455fa5b4492d237a015c7818428ff1c01b51cefeb9f126","observation_id":"a3f6f4e7-d047-4240-a04e-77db8615ffd6","resolution":{"observed_at":"2026-08-07T04:12:49.698587Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01381","last_updated":"2022-06-20T06:58:05Z","snapshot_observed_at":"2026-08-10T10:48:48.098387Z","submitted_at":"2022-02-03T02:50:44Z","title":"ETSformer: Exponential Smoothing Transformers for Time-series Forecasting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01381","snapshot_observed_at":"2026-08-07T04:12:49.703499Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.703499Z"},"links":{"cited_paper":"/paper/2202.01381","citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:b15bfc34b323dfde1c79a86dda00ff68f1f637bd2d72bf40b96f045f5c466824","observation_id":"833c92ae-4021-4d11-9a12-39fd9892015f","resolution":{"observed_at":"2026-08-07T04:12:49.703499Z","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":"2026-08-07T04:12:49.708686Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.708686Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:b3fb6bb0094efe99642416dead70b834bc66a0e07ef29aa37753a1d9f2d9d0d5","observation_id":"105205fe-5de9-48c4-9acb-d99a6fc2ef87","resolution":{"observed_at":"2026-08-07T04:12:49.708686Z","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":"2026-08-07T04:12:49.713487Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.713487Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:025642fbb4f21129c7114655de2e1caf58fd606df70256290e1e43a1bf04af5a","observation_id":"e86938c9-5582-4698-b82b-8a2f6195aca1","resolution":{"observed_at":"2026-08-07T04:12:49.713487Z","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":"2026-08-07T04:12:49.719267Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.719267Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:7fd27b41fd539254717303afc48646f35499a9601717efaad4b72d8d4fbf0369","observation_id":"723f1839-f022-4aa0-bfe6-fe516630c7d4","resolution":{"observed_at":"2026-08-07T04:12:49.719267Z","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":"2026-08-07T04:12:49.724303Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.724303Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:40d4a1e8181a599d00a3b05e00ce89992ca05beea7821125342143a35bc8d966","observation_id":"8fdc023d-829b-4753-95ff-c02f3b9dfb7b","resolution":{"observed_at":"2026-08-07T04:12:49.724303Z","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":"2026-08-07T04:12:49.730752Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.730752Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:0ca2be54c00c77201146847301709dd838af64ea5a79ae19c5b035dc31e3e405","observation_id":"1593a083-5ecd-43d8-a1b2-5f989047605a","resolution":{"observed_at":"2026-08-07T04:12:49.730752Z","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":"2026-08-07T04:12:49.735857Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.735857Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:df45a11aa4ddf7716f93f6f61fcdfb8c70c9500af9a639835934e840b6e367f8","observation_id":"bdb8a5b5-847c-4af8-83df-0494b6735448","resolution":{"observed_at":"2026-08-07T04:12:49.735857Z","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":"2026-08-07T04:12:49.741272Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.741272Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:ad40854d21e527b0ee7502d4c8532487f8dae500124f8e84e45ece0863f2a059","observation_id":"ac28b8ae-9393-4bd3-bf51-7ed2a412d7fb","resolution":{"observed_at":"2026-08-07T04:12:49.741272Z","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":"2026-08-07T04:12:49.746809Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.746809Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:af0f759c01640ea3cec3594f8d04b94cf5f276ba20734cbe5ab151d43ecf560e","observation_id":"d6da7c40-1379-4dfc-a8fa-e5e911aecf23","resolution":{"observed_at":"2026-08-07T04:12:49.746809Z","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":"2026-08-07T04:12:49.980237Z","title":"For supervised forecasting baselines, we select SCNN, Times- Net, and ETSformer, as they demonstrate superior performance","venue":null,"work_id":"7a336476-8417-4924-b6e0-9045e9f61d1f","year":2024},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.757838Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:a81244811496e326a817d0047979f4912c89f72e3ef34d2fe906af1a2e5a6818","observation_id":"bc9ce811-941e-4df7-bfff-ef369656a02c","resolution":{"observed_at":"2026-08-07T04:12:49.986131Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:12:49.232727Z","title":null,"venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":1990,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.232727Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:eb8e699c0972a7a8159742e9d589acaab4cb480026e2ae74b4c93a771b27d74c","observation_id":"f98e7267-a0e8-4b41-8094-1e7efbf239f0","resolution":{"observed_at":"2026-08-07T04:12:49.232727Z","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":"5810.3800","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:12:49.889011Z","title":"InInternational Conference on Machine Learning","venue":null,"work_id":"378f3f08-2edf-49ad-bdf5-caf7c8085520","year":2025},"citing_paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T04:12:49.752022Z"},"links":{"citing_paper":"/paper/2507.00013"},"observation_digest":"sha256:96c04416c0abe5a62a9ef3ff750b062d3f5f608fa95cecc412cfdc8ef95b32d7","observation_id":"d8c886f2-cdf4-42cc-aa70-874c2b9a0d98","resolution":{"observed_at":"2026-08-07T04:12:49.899235Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.00013","last_updated":"2025-06-13T04:06:47Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T13:21:09.312430Z","submitted_at":"2025-06-13T04:06:47Z","title":"ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":32,"verified_exact":1,"verified_fuzzy":3},"total_outbound_references":36},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2507.00013."}