{"as_of":"2026-08-09T09:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0601b7262ae82f829f7a8025630165adc66806f0bc66aff38a4dc49abb26da65","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":19,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T20:06:12.547071Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":36,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.05956","last_updated":"2024-09-15T04:57:36Z","snapshot_observed_at":"2026-08-07T19:51:18.620853Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05956","snapshot_observed_at":"2026-08-07T20:06:12.547071Z","title":"Pathformer: Multi-scale transformers with adaptive pathways for time series forecasting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.09919","last_updated":"2025-02-14T05:07:38Z","snapshot_observed_at":"2026-08-07T20:00:10.628020Z","submitted_at":"2025-02-14T05:07:38Z","title":"AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T20:06:12.547071Z"},"links":{"cited_paper":"/paper/2402.05956","citing_paper":"/paper/2502.09919"},"observation_digest":"sha256:64197b5dd1f998a3b2db1b7afde01a74c8c16c3c797208987d0e3808d25fe77a","observation_id":"0323324f-c509-45bd-945b-1202e2e309e5","resolution":{"observed_at":"2026-08-07T20:06:12.547071Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05956","last_updated":"2024-09-15T04:57:36Z","snapshot_observed_at":"2026-08-07T19:51:18.620853Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":"2402.05956","doi":"10.48550/arxiv.2402.05956","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05956","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scientific reports 12, 16327","venue":"VBN Forskningsportal (Aalborg Universitet)","work_id":"aa5120c5-17cc-4a68-b04d-100ae5de9bdd","year":2024},"citing_paper":{"arxiv_id":"2505.11017","last_updated":"2026-04-16T11:43:59Z","snapshot_observed_at":"2026-07-31T02:35:53.349862Z","submitted_at":"2025-05-16T09:10:49Z","title":"Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-22T15:17:13.583856Z"},"links":{"cited_paper":"/paper/2402.05956","citing_paper":"/paper/2505.11017"},"observation_digest":"sha256:812c940a21beccabfb643ae50269220c0eda6c78bec41b0e393440b33adbbf50","observation_id":"fc58d632-4880-42fe-840a-0e500829f085","resolution":{"observed_at":"2026-05-22T15:21:45.122779Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05956","last_updated":"2024-09-15T04:57:36Z","snapshot_observed_at":"2026-08-07T19:51:18.620853Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":"2402.05956","doi":"10.48550/arxiv.2402.05956","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05956","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scientific reports 12, 16327","venue":"VBN Forskningsportal (Aalborg Universitet)","work_id":"aa5120c5-17cc-4a68-b04d-100ae5de9bdd","year":2024},"citing_paper":{"arxiv_id":"2505.14202","last_updated":"2026-04-06T02:54:59Z","snapshot_observed_at":"2026-07-30T11:23:54.758846Z","submitted_at":"2025-05-20T11:01:36Z","title":"MSDformer: Multi-scale Discrete Transformer For Time Series Generation","version":3},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-22T13:44:08.891339Z"},"links":{"cited_paper":"/paper/2402.05956","citing_paper":"/paper/2505.14202"},"observation_digest":"sha256:edcb322bf1ebe537f79ca729edb67e12d6a64da606572308ba3acfa8d7f6a581","observation_id":"6e445a28-20c2-4320-a718-dc55d88d5c63","resolution":{"observed_at":"2026-05-22T13:44:52.875917Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05956","last_updated":"2024-09-15T04:57:36Z","snapshot_observed_at":"2026-08-07T19:51:18.620853Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05956","snapshot_observed_at":"2026-08-07T13:54:29.336070Z","title":"Pathformer: Multi-scale transformers with adaptive pathways for time series forecasting","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14786","last_updated":"2025-05-27T04:03:41Z","snapshot_observed_at":"2026-08-07T22:42:31.090235Z","submitted_at":"2025-05-27T04:03:41Z","title":"PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:54:29.336070Z"},"links":{"cited_paper":"/paper/2402.05956","citing_paper":"/paper/2506.14786"},"observation_digest":"sha256:cfdb2f4a9b58d36129a2eee16faad08987a58db21adb030efead1743b83b57c4","observation_id":"2be0397c-8d7e-4ea8-9499-146358f45988","resolution":{"observed_at":"2026-08-07T13:54:29.336070Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05956","last_updated":"2024-09-15T04:57:36Z","snapshot_observed_at":"2026-08-07T19:51:18.620853Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05956","snapshot_observed_at":"2026-08-06T19:52:19.031613Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.04600","last_updated":"2025-07-24T09:29:08Z","snapshot_observed_at":"2026-08-09T08:13:55.663838Z","submitted_at":"2025-07-07T01:35:55Z","title":"DisMS-TS: Eliminating Redundant Multi-Scale Features for Time Series Classification","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T19:52:19.031613Z"},"links":{"cited_paper":"/paper/2402.05956","citing_paper":"/paper/2507.04600"},"observation_digest":"sha256:bc3b0bda0e24bec53790a4e580e556fb9720451307cc1acc412a05a4650a640a","observation_id":"99bba139-6013-4e28-836f-292d134b2c3b","resolution":{"observed_at":"2026-08-06T19:52:19.031613Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05956","last_updated":"2024-09-15T04:57:36Z","snapshot_observed_at":"2026-08-07T19:51:18.620853Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05956","snapshot_observed_at":"2026-08-06T18:01:26.634168Z","title":"Pathformer: Multi-scale transformers with adaptive pathways for time series forecasting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.09445","last_updated":"2025-08-02T05:17:13Z","snapshot_observed_at":"2026-08-08T07:36:39.888730Z","submitted_at":"2025-07-13T01:45:27Z","title":"Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T18:01:26.634168Z"},"links":{"cited_paper":"/paper/2402.05956","citing_paper":"/paper/2507.09445"},"observation_digest":"sha256:6a380353c13af81f3e3e60028293e1a0121b9ad6735652cb1c390b86fc43166e","observation_id":"2567d205-9f03-4178-89ad-52be162d99c0","resolution":{"observed_at":"2026-08-06T18:01:26.634168Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05956","last_updated":"2024-09-15T04:57:36Z","snapshot_observed_at":"2026-08-07T19:51:18.620853Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05956","snapshot_observed_at":"2026-08-06T16:35:25.298249Z","title":"Pathformer: Multi-scale transformers with adaptive pathways for time series forecasting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13043","last_updated":"2025-07-17T12:16:04Z","snapshot_observed_at":"2026-08-09T00:04:27.903008Z","submitted_at":"2025-07-17T12:16:04Z","title":"The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T16:35:25.298249Z"},"links":{"cited_paper":"/paper/2402.05956","citing_paper":"/paper/2507.13043"},"observation_digest":"sha256:e547745fdbfa1c52d3f70a97eccc1e91ded733a2e6e2d2a7014ed69094111d8e","observation_id":"a9b10124-3a0c-46e2-968a-74e06bc6fc36","resolution":{"observed_at":"2026-08-06T16:35:25.298249Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05956","last_updated":"2024-09-15T04:57:36Z","snapshot_observed_at":"2026-08-07T19:51:18.620853Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05956","snapshot_observed_at":"2026-08-06T15:26:55.571356Z","title":"Pathformer: Multi-scale transformers with adaptive pathways for time series forecasting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-06T15:20:41.284340Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.571356Z"},"links":{"cited_paper":"/paper/2402.05956","citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:7dba495846fab38ae969685660ef29f1427819a945252bf23f2516aac6c15588","observation_id":"d4d5efbe-c686-4464-8baf-bccc8270dfbf","resolution":{"observed_at":"2026-08-06T15:26:55.571356Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05956","last_updated":"2024-09-15T04:57:36Z","snapshot_observed_at":"2026-08-07T19:51:18.620853Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05956","snapshot_observed_at":"2026-08-06T12:09:39.443027Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.22053","last_updated":"2025-07-29T17:56:38Z","snapshot_observed_at":"2026-08-09T01:29:10.169026Z","submitted_at":"2025-07-29T17:56:38Z","title":"Foundation Models for Demand Forecasting via Dual-Strategy Ensembling","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T12:09:39.443027Z"},"links":{"cited_paper":"/paper/2402.05956","citing_paper":"/paper/2507.22053"},"observation_digest":"sha256:53b73872e2b7fb44f54f9f4ec3e9b012096f27324daf1be9fec208137f5a391c","observation_id":"b093dd96-8f8d-4438-a337-23a3b483c57d","resolution":{"observed_at":"2026-08-06T12:09:39.443027Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05956","last_updated":"2024-09-15T04:57:36Z","snapshot_observed_at":"2026-08-07T19:51:18.620853Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05956","snapshot_observed_at":"2026-08-06T10:58:02.346598Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.23253","last_updated":"2025-07-31T05:21:13Z","snapshot_observed_at":"2026-08-07T22:36:29.308133Z","submitted_at":"2025-07-31T05:21:13Z","title":"Towards Measuring and Modeling Geometric Structures in Time Series Forecasting via Image Modality","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T10:58:02.346598Z"},"links":{"cited_paper":"/paper/2402.05956","citing_paper":"/paper/2507.23253"},"observation_digest":"sha256:04da50faac02f82e1e8eb3bbcb6ab30950d602da7634e1ddfda9bc1565a2da50","observation_id":"803ebed0-ff83-4501-b74d-5aa22ad763e3","resolution":{"observed_at":"2026-08-06T10:58:02.346598Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05956","last_updated":"2024-09-15T04:57:36Z","snapshot_observed_at":"2026-08-07T19:51:18.620853Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":"2402.05956","doi":"10.48550/arxiv.2402.05956","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05956","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scientific reports 12, 16327","venue":"VBN Forskningsportal (Aalborg Universitet)","work_id":"aa5120c5-17cc-4a68-b04d-100ae5de9bdd","year":2024},"citing_paper":{"arxiv_id":"2509.25826","last_updated":"2026-05-14T13:13:15Z","snapshot_observed_at":"2026-08-06T08:14:59.922862Z","submitted_at":"2025-09-30T06:02:26Z","title":"Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-18T13:21:02.738561Z"},"links":{"cited_paper":"/paper/2402.05956","citing_paper":"/paper/2509.25826"},"observation_digest":"sha256:60de50203aefae6954020de66ee7fcd98c4dcc118128e4f0ab7b9ec2a036abab","observation_id":"bcc1159f-83a5-44bd-ad81-2d1203fd80c9","resolution":{"observed_at":"2026-05-18T13:21:23.771218Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05956","last_updated":"2024-09-15T04:57:36Z","snapshot_observed_at":"2026-08-07T19:51:18.620853Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05956","snapshot_observed_at":"2026-08-02T22:40:03.195176Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.16220","last_updated":"2026-06-25T10:07:31Z","snapshot_observed_at":"2026-08-06T06:58:14.490546Z","submitted_at":"2026-02-18T06:53:32Z","title":"SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T22:40:03.195176Z"},"links":{"cited_paper":"/paper/2402.05956","citing_paper":"/paper/2602.16220"},"observation_digest":"sha256:f135a07e4de92458a4130fe0f7f90010bc0a68021af2eea8878313b54459aecf","observation_id":"bcc6b566-d37a-4124-9d38-a3f4cd86b34c","resolution":{"observed_at":"2026-08-02T22:40:03.195176Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05956","last_updated":"2024-09-15T04:57:36Z","snapshot_observed_at":"2026-08-07T19:51:18.620853Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":"2402.05956","doi":"10.48550/arxiv.2402.05956","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05956","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scientific reports 12, 16327","venue":"VBN Forskningsportal (Aalborg Universitet)","work_id":"aa5120c5-17cc-4a68-b04d-100ae5de9bdd","year":2024},"citing_paper":{"arxiv_id":"2605.12168","last_updated":"2026-05-12T14:16:05Z","snapshot_observed_at":"2026-07-06T23:23:54.142937Z","submitted_at":"2026-05-12T14:16:05Z","title":"On What We Can Learn from Low-Resolution Data","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-05-13T05:28:50.993737Z"},"links":{"cited_paper":"/paper/2402.05956","citing_paper":"/paper/2605.12168"},"observation_digest":"sha256:0a0b51ef35ebf56461b48ef4975f42aa8e2b9a2c5b98326b93358c16f690ff4b","observation_id":"6bf1cb38-b163-4d8a-b196-b8e6d5980f6c","resolution":{"observed_at":"2026-05-13T05:32:19.030780Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05956","last_updated":"2024-09-15T04:57:36Z","snapshot_observed_at":"2026-08-07T19:51:18.620853Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":"2402.05956","doi":"10.48550/arxiv.2402.05956","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05956","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scientific reports 12, 16327","venue":"VBN Forskningsportal (Aalborg Universitet)","work_id":"aa5120c5-17cc-4a68-b04d-100ae5de9bdd","year":2024},"citing_paper":{"arxiv_id":"2605.14551","last_updated":"2026-05-14T08:29:52Z","snapshot_observed_at":"2026-07-06T23:25:58.895612Z","submitted_at":"2026-05-14T08:29:52Z","title":"SeesawNet: Towards Non-stationary Time Series Forecasting with Balanced Modeling of Common and Specific Dependencies","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-15T01:54:32.493922Z"},"links":{"cited_paper":"/paper/2402.05956","citing_paper":"/paper/2605.14551"},"observation_digest":"sha256:9a1c4fb9cd294ab97ef17650cbc7f9335b81e735faf8108c35a2458be7d67dfc","observation_id":"1a094079-06ba-438a-a394-3ba52dc6c3cb","resolution":{"observed_at":"2026-05-15T01:58:29.227260Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05956","last_updated":"2024-09-15T04:57:36Z","snapshot_observed_at":"2026-08-07T19:51:18.620853Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":"2402.05956","doi":"10.48550/arxiv.2402.05956","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05956","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scientific reports 12, 16327","venue":"VBN Forskningsportal (Aalborg Universitet)","work_id":"aa5120c5-17cc-4a68-b04d-100ae5de9bdd","year":2024},"citing_paper":{"arxiv_id":"2605.22043","last_updated":"2026-05-21T06:30:35Z","snapshot_observed_at":"2026-07-06T23:32:25.286443Z","submitted_at":"2026-05-21T06:30:35Z","title":"CASE-NET: Deep Spatio-Temporal Representation Learning via Causal Attention and Channel Recalibration for Multivariate Time Series Classification","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-22T08:30:12.447896Z"},"links":{"cited_paper":"/paper/2402.05956","citing_paper":"/paper/2605.22043"},"observation_digest":"sha256:5fc5fb0c02924ed9c1a111d0fb6e746970340609f4178fd6255e6715a16cd9b1","observation_id":"00607754-0035-4476-b24a-2cc9f9b17f77","resolution":{"observed_at":"2026-05-22T08:31:16.758150Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05956","last_updated":"2024-09-15T04:57:36Z","snapshot_observed_at":"2026-08-07T19:51:18.620853Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":"2402.05956","doi":"10.48550/arxiv.2402.05956","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05956","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scientific reports 12, 16327","venue":"VBN Forskningsportal (Aalborg Universitet)","work_id":"aa5120c5-17cc-4a68-b04d-100ae5de9bdd","year":2024},"citing_paper":{"arxiv_id":"2606.26549","last_updated":"2026-06-25T02:49:08Z","snapshot_observed_at":"2026-08-06T23:26:30.717005Z","submitted_at":"2026-06-25T02:49:08Z","title":"PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-26T05:22:10.800685Z"},"links":{"cited_paper":"/paper/2402.05956","citing_paper":"/paper/2606.26549"},"observation_digest":"sha256:e7b23c4420940c2f606907435531930ca60ea20558372c9613c2e5feb20904ea","observation_id":"87de82d4-f753-40cd-8c11-19363f3df6c2","resolution":{"observed_at":"2026-07-04T13:19:50.456226Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05956","last_updated":"2024-09-15T04:57:36Z","snapshot_observed_at":"2026-08-07T19:51:18.620853Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":"2402.05956","doi":"10.48550/arxiv.2402.05956","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05956","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scientific reports 12, 16327","venue":"VBN Forskningsportal (Aalborg Universitet)","work_id":"aa5120c5-17cc-4a68-b04d-100ae5de9bdd","year":2024},"citing_paper":{"arxiv_id":"2607.00358","last_updated":"2026-07-01T02:57:06Z","snapshot_observed_at":"2026-08-03T00:30:16.187890Z","submitted_at":"2026-07-01T02:57:06Z","title":"PRISM: Prioritized Channel Importance with Semi-supervised Domain Adaptation for Cross-Subject EEG Emotion Recognition","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-02T16:45:46.207051Z"},"links":{"cited_paper":"/paper/2402.05956","citing_paper":"/paper/2607.00358"},"observation_digest":"sha256:226418158af7e768cb9fb4f5e348b5819f3862e605078bb889fa3d928854ef39","observation_id":"0a5443b7-ad4e-437f-8e59-f41d45210d59","resolution":{"observed_at":"2026-07-02T16:47:08.989098Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05956","last_updated":"2024-09-15T04:57:36Z","snapshot_observed_at":"2026-08-07T19:51:18.620853Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05956","snapshot_observed_at":"2026-08-01T14:10:00.307077Z","title":"Pathformer: Multi-scale transformers with adaptive path- ways for time series forecasting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18860","last_updated":"2026-07-21T08:50:55Z","snapshot_observed_at":"2026-08-07T11:22:08.555854Z","submitted_at":"2026-07-21T08:50:55Z","title":"Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T14:10:00.307077Z"},"links":{"cited_paper":"/paper/2402.05956","citing_paper":"/paper/2607.18860"},"observation_digest":"sha256:925664bce2731b84710ffe76eef228b9fddf28a0177c6dbc5880c99cd5bec6c6","observation_id":"893632d9-d664-4795-a4dd-ba29db1788c0","resolution":{"observed_at":"2026-08-01T14:10:00.307077Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05956","last_updated":"2024-09-15T04:57:36Z","snapshot_observed_at":"2026-08-07T19:51:18.620853Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05956","snapshot_observed_at":"2026-08-02T11:33:56.982834Z","title":"Pathformer: Multi-scale transformers with adaptive pathways for time series forecasting.arXiv preprint arXiv:2402.05956, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22599","last_updated":"2026-06-12T11:50:32Z","snapshot_observed_at":"2026-08-07T22:35:15.367856Z","submitted_at":"2026-06-12T11:50:32Z","title":"Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-02T11:33:56.982834Z"},"links":{"cited_paper":"/paper/2402.05956","citing_paper":"/paper/2607.22599"},"observation_digest":"sha256:2c406db77252aad116309ed8b840e235da9253910f43fc04aa2215ad6112656a","observation_id":"3ab483af-6b9b-48b0-a44f-de5e45deda73","resolution":{"observed_at":"2026-08-02T11:33:56.982834Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2402.05956/citation-record","integrity":"/paper/2402.05956/integrity","json":"/paper/2402.05956/citation-record.json","paper":"/paper/2402.05956"},"outbound":[],"paper":{"arxiv_id":"2402.05956","last_updated":"2024-09-15T04:57:36Z","latest_version":5,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T19:51:18.620853Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2402.05956."}