{"as_of":"2026-08-15T16:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6600653eae6836c6459b130b9d64894381a508f33ea405e5322202b64dfbdf38","coverage":[{"denominator":105,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T10:29:17.523495Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"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/2607.20230/citation-record","integrity":"/paper/2607.20230/integrity","json":"/paper/2607.20230/citation-record.json","paper":"/paper/2607.20230"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T10:29:07.166837Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:07.166837Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:f266afce82f2d5b21a8fa3cf6d0d7e96b7afdc697fec016bdf908f9621baca07","observation_id":"7fc9d4c5-623d-45a1-82f8-7cd044cc788b","resolution":{"observed_at":"2026-08-01T10:29:07.166837Z","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":"2026-08-01T10:29:07.309755Z","title":"Water quality data for national-scale aquatic research: The Water Quality Portal , volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:07.309755Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:59709d5a637e5af276ca8e82e81b3e7b9f4e690bd6d68efb0717d65e2cd81bd6","observation_id":"f571953a-8b79-42b9-884e-bad18ee845e3","resolution":{"observed_at":"2026-08-01T10:29:07.309755Z","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":"2026-08-01T10:29:07.499060Z","title":"Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) , pages=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:07.499060Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:dd6df2503e0924f56fa780fa09799ed026217bfa8638a9c86a40b68bb28298df","observation_id":"95b6f7a5-1b4a-464c-ba00-92e6ab97160c","resolution":{"observed_at":"2026-08-01T10:29:07.499060Z","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":"2026-08-01T10:29:07.532375Z","title":"Water Resources Research , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:07.532375Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:ce03701f078dfdb55509fed8e0bcaa6c7269b2944e627961f9c476c18fc0660e","observation_id":"0f2d7d33-8af8-420d-859e-abd5b78083df","resolution":{"observed_at":"2026-08-01T10:29:07.532375Z","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":"2026-08-01T10:29:07.537053Z","title":"Water Resources Research , volume=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:07.537053Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:d3980fb84293a4373d3b071896c5cec90d3221366b079b269ecbf9b62c5ac1b2","observation_id":"f574b462-825d-4bf4-80ad-55fca1499226","resolution":{"observed_at":"2026-08-01T10:29:07.537053Z","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":"2026-08-01T10:29:07.545712Z","title":"Hydrology and Earth System Sciences , volume=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:07.545712Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:0f43c8432e2bc43dd9140c7ee3d45e2e44d441bc3e759efb46c099f28ee7cac2","observation_id":"234658e6-6639-4bed-875f-9782bb99bf56","resolution":{"observed_at":"2026-08-01T10:29:07.545712Z","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":"2026-08-01T10:29:07.605219Z","title":"Neural computation , volume=","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:07.605219Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:35dc10a1b5b663b8d4f16304234c7f2de5b4c2f5183651428f9588f0f6d96109","observation_id":"43fc6188-76d9-47b5-b5a2-0258d7b318cf","resolution":{"observed_at":"2026-08-01T10:29:07.605219Z","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":"2026-08-01T10:29:07.688434Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:07.688434Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:fde726da9bb239ca2be979641b933b17d0f1e326969634f6de8f966551ebf9a3","observation_id":"c74805a1-1f52-4a75-9962-b38ea60bb096","resolution":{"observed_at":"2026-08-01T10:29:07.688434Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1609.02907","last_updated":"2017-02-22T09:55:36Z","snapshot_observed_at":"2026-08-13T11:38:10.906031Z","submitted_at":"2016-09-09T19:48:41Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.02907","snapshot_observed_at":"2026-08-01T10:29:07.781431Z","title":"arXiv preprint arXiv:1609.02907 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:07.781431Z"},"links":{"cited_paper":"/paper/1609.02907","citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:b1fd5b1e6cf62a970724a75228e22a91b9e5beb1effe2f5e7e4c2cef93fac751","observation_id":"820c481b-9390-4356-955c-f24b1dd2cbe0","resolution":{"observed_at":"2026-08-01T10:29:07.781431Z","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":"2026-08-01T10:29:07.856592Z","title":"2015 , institution=","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:07.856592Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:1d3db884b02ef21291864189198757d357d836c3fdf8783d408656e5620b433d","observation_id":"fe72b597-0e36-4dbb-83ac-a60102e861fb","resolution":{"observed_at":"2026-08-01T10:29:07.856592Z","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":"2026-08-01T10:29:07.954275Z","title":"Philosophical Transactions of the Royal Society B: Biological Sciences , volume=","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:07.954275Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:aaf2e0b42458b3a040a4c9c8ee4c9c55b453c86fcbe1c3772f8f58a53e462f13","observation_id":"631b151b-9620-4de9-932d-af221b170ac1","resolution":{"observed_at":"2026-08-01T10:29:07.954275Z","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":"2026-08-01T10:29:08.102735Z","title":"Nature Climate Change , volume=","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:08.102735Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:b0ed882a4fc968db96b3d765039f57048836fb9aed3bb254b86c4e1f3155569a","observation_id":"d227345c-bff3-499d-a629-fcddd758ae0c","resolution":{"observed_at":"2026-08-01T10:29:08.102735Z","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":"2026-08-01T10:29:08.218595Z","title":"Hydrology and Earth System Sciences , volume=","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:08.218595Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:51744b4812ecfd88e3d3319fc13dadd0affdb14e0abf55a8246a158f115b1dfa","observation_id":"5d5f339d-d73d-48d5-ac20-7d855db1887e","resolution":{"observed_at":"2026-08-01T10:29:08.218595Z","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":"2026-08-01T10:29:08.335667Z","title":"2021 IEEE International Conference on Data Mining (ICDM) , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:08.335667Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:ade2b39623528088cedbef5c9ca50ac95875a2564f1efa67e6d60f2b03018b47","observation_id":"cb69e95d-a569-40c4-aaa7-6c3102a848df","resolution":{"observed_at":"2026-08-01T10:29:08.335667Z","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":"2026-08-01T10:29:08.453722Z","title":"Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences , volume=","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:08.453722Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:2ef42555e58c8d892d95b6c507036a1ff274a1120e088e4a158030bb93d815a3","observation_id":"1891b43a-ff2b-43fd-9eee-2d1259842557","resolution":{"observed_at":"2026-08-01T10:29:08.453722Z","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":"2026-08-01T10:29:08.607961Z","title":"Journal of Hydroinformatics , volume=","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:08.607961Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:07ecd00a3945e84ca95105fca098a420ade917ed683deaf92f5ba8f6c4b72da0","observation_id":"46b67e64-b52e-43f3-9147-96157838978b","resolution":{"observed_at":"2026-08-01T10:29:08.607961Z","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":"2026-08-01T10:29:08.766627Z","title":"Proceedings of the AAAI conference on artificial intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:08.766627Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:75aa9fcd24ec27b682e9d5f3fa4ac00af86bb4bec52cb525d3a9c218a9b474fe","observation_id":"a3198d92-c067-4143-8aee-b006e191a422","resolution":{"observed_at":"2026-08-01T10:29:08.766627Z","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":"2026-08-01T10:29:08.848396Z","title":"Proceedings of the IEEE , volume=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:08.848396Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:2ff9c953e6802f5011493c67a6943c22854b574256b2a7b84c3f5446e896a6a2","observation_id":"86399eae-3bf4-4253-a56f-90a0e6d8827f","resolution":{"observed_at":"2026-08-01T10:29:08.848396Z","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":"2026-08-01T10:29:08.960594Z","title":"Science , volume=","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:08.960594Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:5cc47ed550bafb25188daebeac39f2a54307440cd430f10da834f30e0e8b9145","observation_id":"292781a5-238c-4332-b8f4-185e910d75df","resolution":{"observed_at":"2026-08-01T10:29:08.960594Z","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":"2026-08-01T10:29:09.098734Z","title":"2020 , institution=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:09.098734Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:28928dd812b8e6417703da418860a75c7900471c3fa667390ce4d8cd9bbfb6cb","observation_id":"66bcf025-3ee2-4419-899e-37d40c1859ea","resolution":{"observed_at":"2026-08-01T10:29:09.098734Z","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":"2026-08-01T10:29:09.271742Z","title":"Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:09.271742Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:7a5c345a6c0d8b4963c87476fc768e4dcacd08edf7a9498042781e44db6f4246","observation_id":"395423c9-7903-4575-b584-b55d020f426e","resolution":{"observed_at":"2026-08-01T10:29:09.271742Z","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":"2026-08-01T10:29:09.435581Z","title":"Journal of Hydrology , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:09.435581Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:1ae1979aac74e3e5da0d5404bbee69de2ed6bc966a8d29ee7fc9aaec5f27ce5c","observation_id":"d7b6c44d-6cf6-48b4-88fc-425c413159c8","resolution":{"observed_at":"2026-08-01T10:29:09.435581Z","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":"2026-08-01T10:29:09.610604Z","title":"Water Resources Research , volume=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:09.610604Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:f5f0771af0802853dca0d1c7163135e0aff8ec9265812aac4020110fc3dbef76","observation_id":"5eb45ce1-7aa9-4e1f-ad1c-c24b01835863","resolution":{"observed_at":"2026-08-01T10:29:09.610604Z","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":"2026-08-01T10:29:09.724312Z","title":"Water Resources Research , volume=","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:09.724312Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:64af39d9ab0ec7b5cb75a3e8d91705d5e78bba74ab0f4e17237c175a2081fc66","observation_id":"50746f74-2fca-4593-ae24-b0f4b311702c","resolution":{"observed_at":"2026-08-01T10:29:09.724312Z","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":"2026-08-01T10:29:09.857757Z","title":"Environmental Modelling & Software , volume=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:09.857757Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:4f27b6b07db47c2f1e19ecd0758a03c4bee9ac32d91a91a6226c0ae521fbc57a","observation_id":"5465421c-217b-404e-a8b7-736263dd4413","resolution":{"observed_at":"2026-08-01T10:29:09.857757Z","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":"2026-08-01T10:29:09.947131Z","title":"Sensors , volume=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:09.947131Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:595281568101991595f49af7e04a0d3e08f16dcc1ad33bb5e8494860e522cf5d","observation_id":"5a4d875f-c791-4616-b705-c5199f25cf27","resolution":{"observed_at":"2026-08-01T10:29:09.947131Z","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":"2026-08-01T10:29:10.113559Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:10.113559Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:85cf295f2dcd9c9cb77a45365da352feefa51f34b9813758dd6cb20eba8eb8e4","observation_id":"7787d9d2-1279-4222-b3be-fd5d448e0647","resolution":{"observed_at":"2026-08-01T10:29:10.113559Z","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":"2026-08-01T10:29:10.276054Z","title":"IEEE transactions on intelligent transportation systems , volume=","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:10.276054Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:8fb0571c6b0cab8eb5ec5e101ee8e976ee204b981a0eaaed488a4745a2d1ca2c","observation_id":"03214293-1089-443f-a881-89f6ac6e106b","resolution":{"observed_at":"2026-08-01T10:29:10.276054Z","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":"2026-08-01T10:29:10.385686Z","title":"The world wide web conference , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:10.385686Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:ec26f6f20954f10168258770f39dee539e7a153ba7cb03ad9c2ecc5e843a37d2","observation_id":"d780ba82-aca5-441c-866b-fb07dccc0bfd","resolution":{"observed_at":"2026-08-01T10:29:10.385686Z","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":"2026-08-01T10:29:10.509110Z","title":"ISPRS Journal of Photogrammetry and Remote Sensing , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:10.509110Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:1f2c37b99c336a4fa3005b3f211edd4fefe4185ddc0e04b3572bda5ac9891be0","observation_id":"f824c97f-c4a9-428a-b89e-6a93e886bfc6","resolution":{"observed_at":"2026-08-01T10:29:10.509110Z","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":"2026-08-01T10:29:10.611821Z","title":"Proceedings of the AAAI conference on artificial intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:10.611821Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:2dbbcabf0484877a218a1821216b5fcb71d74b0c28e477b05e584445abd7966a","observation_id":"7836206b-2263-4f1a-91fa-6c50b9a0dc62","resolution":{"observed_at":"2026-08-01T10:29:10.611821Z","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":"2026-08-01T10:29:10.800631Z","title":"IEEE Transactions on Geoscience and Remote Sensing , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:10.800631Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:839b7a9ca8009bd7229955b9f3fbb4cdbe884315e4a6a5737b21c6edb2e25654","observation_id":"1447ec77-de95-45ed-afd3-68fd888114bc","resolution":{"observed_at":"2026-08-01T10:29:10.800631Z","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":"2026-08-01T10:29:10.938796Z","title":"Journal of Hydrology , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:10.938796Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:01d0fa58aa1a96701cd1cf49cc89fd59f8683ce20106bd044ca3e16b3eb0a5d5","observation_id":"3b339d3e-2f9d-492a-854c-2dcd6cf9f132","resolution":{"observed_at":"2026-08-01T10:29:10.938796Z","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":"2026-08-01T10:29:11.035912Z","title":"ACM Computing Surveys (CSUR) , volume=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:11.035912Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:f29114848a52a06d1163cca7b3a433b96b196b333479e1085fe1e98e2b3814fb","observation_id":"f2eda81d-743a-487f-af43-e2da090f7853","resolution":{"observed_at":"2026-08-01T10:29:11.035912Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.15989","last_updated":"2024-05-01T20:57:12Z","snapshot_observed_at":"2026-08-13T00:47:09.843232Z","submitted_at":"2024-03-24T02:54:46Z","title":"Knowledge-guided Machine Learning: Current Trends and Future Prospects","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.15989","snapshot_observed_at":"2026-08-01T10:29:11.147759Z","title":"arXiv preprint arXiv:2403.15989 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:11.147759Z"},"links":{"cited_paper":"/paper/2403.15989","citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:28df3759419dfbf35c46a69260f5319ae41876d2812536b8b6a7e9aae566b75f","observation_id":"946f5154-b64b-4af5-8121-51a53b216cd6","resolution":{"observed_at":"2026-08-01T10:29:11.147759Z","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":"2026-08-01T10:29:11.265764Z","title":"Water Resources Research , volume=","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:11.265764Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:f775ba5c86581d3502c520e84a5a767c8e289eb740ea5dc0445cf4a727c51ad7","observation_id":"ffd8d0b7-c7a1-4e13-8242-f5799dce83f8","resolution":{"observed_at":"2026-08-01T10:29:11.265764Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.00121","last_updated":"2019-05-31T23:53:20Z","snapshot_observed_at":"2026-08-14T16:22:43.478101Z","submitted_at":"2019-05-31T23:53:20Z","title":"Graph WaveNet for Deep Spatial-Temporal Graph Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.00121","snapshot_observed_at":"2026-08-01T10:29:11.391621Z","title":"arXiv preprint arXiv:1906.00121 , year=","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:11.391621Z"},"links":{"cited_paper":"/paper/1906.00121","citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:e18d32b6685040dfe9bb6c0812d772764c2dcee79922bb3a0a92ef96863de4da","observation_id":"6e89e427-b98a-4da7-b23d-96614dff4add","resolution":{"observed_at":"2026-08-01T10:29:11.391621Z","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":"2026-08-01T10:29:11.471631Z","title":"IEEE transactions on intelligent transportation systems , volume=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:11.471631Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:4307cddd04346bf96afce4bd81aa709bb5a7c8029780f27b28162d3352be33ad","observation_id":"0f5f5d70-ded2-4257-91c9-8c087bb353da","resolution":{"observed_at":"2026-08-01T10:29:11.471631Z","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":"2026-08-01T10:29:11.583430Z","title":"2022 IEEE 5th International Conference on Big Data and Artificial Intelligence (BDAI) , pages=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:11.583430Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:f5406d91fd2410c48f4eb8b77551150ae72a6f1a2728ba568a71ac5f89f7a863","observation_id":"f5671ebc-8c83-44f7-87f6-b1526ef40255","resolution":{"observed_at":"2026-08-01T10:29:11.583430Z","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":"2026-08-01T10:29:11.716387Z","title":"AGU Fall Meeting Abstracts , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:11.716387Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:1378121983cf862228fc0cdaa234b1cfe612f0e9b200d358eb54f052f831ba70","observation_id":"d71c0a65-1b34-41dd-8201-c36e0a6c5682","resolution":{"observed_at":"2026-08-01T10:29:11.716387Z","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":"2026-08-01T10:29:11.778244Z","title":"Proceedings of the 2024 SIAM International Conference on Data Mining (SDM) , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:11.778244Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:d99162b5cdefea7ea658edf0b3e69a41321b3fa1a91d6b0d5aea4e4e0f0cd7ca","observation_id":"45311f5e-f8b7-4b18-870d-027e831fb056","resolution":{"observed_at":"2026-08-01T10:29:11.778244Z","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":"2026-08-01T10:29:11.893178Z","title":"IEEE transactions on knowledge and data engineering , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:11.893178Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:a85443787c73bd935e804d46bfbc920c30cfcf584e92076717f6b5ae44d6199d","observation_id":"53b79481-555f-465e-be46-1d5ffac14164","resolution":{"observed_at":"2026-08-01T10:29:11.893178Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.06266","last_updated":"2025-05-13T02:04:13Z","snapshot_observed_at":"2026-08-07T15:56:08.877389Z","submitted_at":"2025-05-05T21:16:10Z","title":"Knowledge Guided Encoder-Decoder Framework: Integrating Multiple Physical Models for Agricultural Ecosystem Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.06266","snapshot_observed_at":"2026-08-01T10:29:12.049060Z","title":"arXiv preprint arXiv:2505.06266 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:12.049060Z"},"links":{"cited_paper":"/paper/2505.06266","citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:322a704f0ece03a6b2bcb496c9775216a4e8d96bc7c79b09a7758ecc8641a0bd","observation_id":"1e184a73-c055-45f6-9c6a-baf8b6890b38","resolution":{"observed_at":"2026-08-01T10:29:12.049060Z","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":"2026-08-01T10:29:12.112131Z","title":"Environmental Data Science , volume=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:12.112131Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:515506b0cd5914944ce80593f65f5deed6657211afcf19d2330c12c422d5e4b5","observation_id":"285d3b9e-5bb5-4fd5-86d8-fe2c4ac4f29c","resolution":{"observed_at":"2026-08-01T10:29:12.112131Z","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":"2026-08-01T10:29:12.190565Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:12.190565Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:2917cd791c53f3128b76643da98033412d2d54b6754b74d2c82f5dea70acf035","observation_id":"85b03bcb-fc51-4117-8213-fc184167bf12","resolution":{"observed_at":"2026-08-01T10:29:12.190565Z","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":"2026-08-01T10:29:12.283808Z","title":"ACM Computing Surveys , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:12.283808Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:566445ed22632a77e168898f7525dbddb9898f993f57792c610449bc87cb6db2","observation_id":"78312b5a-32f7-4909-bf90-c8e76e2a41ad","resolution":{"observed_at":"2026-08-01T10:29:12.283808Z","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":"2026-08-01T10:29:12.354563Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:12.354563Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:aa95f989d9325fc96d7061b269ad64d8dc32ee20237e73dbc830d7bf00d090d3","observation_id":"df0db757-7d85-4aaf-81cd-96aa096dff93","resolution":{"observed_at":"2026-08-01T10:29:12.354563Z","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":"2026-08-01T10:29:12.482150Z","title":"International Conference on Machine Learning , pages=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:12.482150Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:0b1036e4b892767c17b416db588de7f862603d299ad2c80cbf3e7cfa023bdbb0","observation_id":"528123ae-cbd4-4739-bc94-e0693fa02669","resolution":{"observed_at":"2026-08-01T10:29:12.482150Z","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":"2026-08-01T10:29:12.567295Z","title":"Science , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:12.567295Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:fea9a425c50b09c025e2a892720b4dc67d09a3b0934e8d2a46c13547f5480e9a","observation_id":"23759fbe-84d0-48a4-8369-9c2d4825767b","resolution":{"observed_at":"2026-08-01T10:29:12.567295Z","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":"2026-08-01T10:29:12.648258Z","title":"Science , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:12.648258Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:9b3bdb843b280014b6a2962fd4cba21a25f7f09a182b7873fcdfdec75314f9cc","observation_id":"2525f5bb-ebd0-4610-abe7-86c0e9553eff","resolution":{"observed_at":"2026-08-01T10:29:12.648258Z","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":"2026-08-01T10:29:12.751237Z","title":"Nature , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:12.751237Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:a51394aac7a3e2ed5990096c9d3ee223752bfe251be0bb7f6b01437014102643","observation_id":"08746882-2621-4dc3-bd15-a9f1e80859cd","resolution":{"observed_at":"2026-08-01T10:29:12.751237Z","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":"2026-08-01T10:29:12.836987Z","title":"Limnology and Oceanography , volume=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:12.836987Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:86929726321cb21a9370b13ecdfd245a22f044aa0755a224f8b0ab6959ab28dc","observation_id":"c72a0898-d429-45c0-90aa-e8c9c76a559b","resolution":{"observed_at":"2026-08-01T10:29:12.836987Z","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":"2026-08-01T10:29:12.954226Z","title":"ACM Transactions on Intelligent Systems and Technology (TIST) , volume=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:12.954226Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:0010dd7eb7244ad9fd30d378607ea648f0f6b867e16ab52f4a411bd3650c9abb","observation_id":"0b6e2117-7446-45c3-aa6c-204c67cb646d","resolution":{"observed_at":"2026-08-01T10:29:12.954226Z","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":"2026-08-01T10:29:13.043578Z","title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:13.043578Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:f56052e12fb46986664bc7e8b2a3f4ef94e15d81a2e2a449cd3510b76c03ed6d","observation_id":"f46f788f-495a-4355-80df-cb1fb6e9d85a","resolution":{"observed_at":"2026-08-01T10:29:13.043578Z","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":"2026-08-01T10:29:13.126880Z","title":"Nature Reviews Earth & Environment , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:13.126880Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:bec9d09788ded80af1918d68d50b7af67bfff3c4b07edc34cfbe0cc066f60b9f","observation_id":"e174d375-8989-4825-85c7-1d5c3f462abf","resolution":{"observed_at":"2026-08-01T10:29:13.126880Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.11328","last_updated":"2021-11-25T20:59:18Z","snapshot_observed_at":"2026-08-13T19:42:31.314756Z","submitted_at":"2021-10-21T17:57:08Z","title":"A Fine-Grained Analysis on Distribution Shift","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.11328","snapshot_observed_at":"2026-08-01T10:29:13.211440Z","title":"arXiv preprint arXiv:2110.11328 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:13.211440Z"},"links":{"cited_paper":"/paper/2110.11328","citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:8d827fb5d12e99893f239f9fa23d01ed4815b46aa074d957822b99ba39af9ba5","observation_id":"5326a00a-5b2b-43c6-98ee-cbed23d1dcaa","resolution":{"observed_at":"2026-08-01T10:29:13.211440Z","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":"2026-08-01T10:29:13.374586Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:13.374586Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:949cf8a867fb2e042620d73b44f89913a6edf4478ac531bdd33858c88e5c0541","observation_id":"5f5384c5-b2d9-4788-af93-2082784b67d1","resolution":{"observed_at":"2026-08-01T10:29:13.374586Z","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":"2026-08-01T10:29:13.478528Z","title":"Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:13.478528Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:c6769861636334168bbddc7ba7e1324ce55d811430cd47bf04039df295ceda3d","observation_id":"b108f8b8-c686-448a-a75f-73f1b3871001","resolution":{"observed_at":"2026-08-01T10:29:13.478528Z","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":"2026-08-01T10:29:13.540349Z","title":"IEEE transactions on pattern analysis and machine intelligence , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:13.540349Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:e55d0b043734f04d9aced46a110de7bf6a99e9a007f5d620a135d1921078b7a6","observation_id":"af29664d-1336-427f-b13d-821ffd379ee2","resolution":{"observed_at":"2026-08-01T10:29:13.540349Z","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":"2026-08-01T10:29:13.600246Z","title":"Artificial Intelligence Review , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:13.600246Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:8302c63b8011c85164303a38318af0932b7bb388d221b3b4a7e319ab5e44ea4d","observation_id":"e9be261e-1862-4c19-a517-2b9db6974ef8","resolution":{"observed_at":"2026-08-01T10:29:13.600246Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.02008","last_updated":"2021-04-05T16:58:09Z","snapshot_observed_at":"2026-08-14T01:12:02.544304Z","submitted_at":"2021-04-05T16:58:09Z","title":"Domain Generalization with MixStyle","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.02008","snapshot_observed_at":"2026-08-01T10:29:13.684762Z","title":"arXiv preprint arXiv:2104.02008 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:13.684762Z"},"links":{"cited_paper":"/paper/2104.02008","citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:ea4bf9519b010fbbfd5e1e5a6c2429e2bb268555a05938d3066e417376df0de0","observation_id":"8e6d2dab-f6fa-4774-9c7e-e8dfb768df6f","resolution":{"observed_at":"2026-08-01T10:29:13.684762Z","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":"2026-08-01T10:29:13.802844Z","title":"Proceedings of the AAAI conference on artificial intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:13.802844Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:e8d3eb7f59bbbdedee5c4d880b39c0d32082deb99226f8b385b97495f89ba484","observation_id":"2c222b2d-8f34-42e8-a883-b11c2ae96d7e","resolution":{"observed_at":"2026-08-01T10:29:13.802844Z","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":"2026-08-01T10:29:13.904452Z","title":"Journal of machine learning research , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:13.904452Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:ecaf6cdd308f4170d2db59664e921278e88ddcb5f65596dc58e4e485df6e8cd8","observation_id":"ca0b4825-ab86-4865-ac0a-6cd7450410e9","resolution":{"observed_at":"2026-08-01T10:29:13.904452Z","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":"2026-08-01T10:29:14.067471Z","title":"2015 , institution=","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:14.067471Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:df309ec350bde483b09af54db8b677e9a5b3bbf35648cd4a40e0193ced4237b6","observation_id":"7e374402-cdff-4aab-96c8-c15b70d62013","resolution":{"observed_at":"2026-08-01T10:29:14.067471Z","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":"2026-08-01T10:29:14.146392Z","title":"Agricultural Economics , volume=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:14.146392Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:af15a3257c38f87b4149dfcaad25c6c501337e8ca906f209504d002352c70076","observation_id":"6b3b8101-c30d-4bad-b5b7-27cfd5653ad2","resolution":{"observed_at":"2026-08-01T10:29:14.146392Z","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":"2026-08-01T10:29:14.292287Z","title":"Geoscientific Model Development , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:14.292287Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:b855e875540727c728254b54279ceaf7244d585727f16a72a7ee74894be0f179","observation_id":"26a43bc2-7801-4789-bc1a-7bba54c1b2e3","resolution":{"observed_at":"2026-08-01T10:29:14.292287Z","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":"2026-08-01T10:29:14.434606Z","title":"Proceedings of the 2021 SIAM International Conference on Data Mining (SDM) , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:14.434606Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:683fc2cbca80c32cec1f3ebac7d574686d2b935d2d34b8dcf30aef99ec0f0163","observation_id":"70097a97-13ac-4927-a6d5-e4b96a0e2346","resolution":{"observed_at":"2026-08-01T10:29:14.434606Z","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":"2026-08-01T10:29:14.569833Z","title":"2021 IEEE International Conference on Data Mining (ICDM) , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:14.569833Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:8a5dac2af58525fd9bb2f14eb4c34d400cf4e726504c65c06490adfc002c64d2","observation_id":"96ae6386-66b3-47ce-a58e-2dc4aebb5d2a","resolution":{"observed_at":"2026-08-01T10:29:14.569833Z","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":"2026-08-01T10:29:14.699884Z","title":"Water Resources Research , volume=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:14.699884Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:b6614d81e4092511bc67ce78b2654a571da431a82207330bf1c5f2f5c23a9289","observation_id":"6c2cd185-336a-4b2a-bcc5-65329613e616","resolution":{"observed_at":"2026-08-01T10:29:14.699884Z","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":"2026-08-01T10:29:14.842177Z","title":"Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:14.842177Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:7251169245a6f14dd6df89065b51707c8aaff76e232d692dc1e9561e6c0bf0b0","observation_id":"bf8eab20-15f6-4768-b707-60a8e3e38c2a","resolution":{"observed_at":"2026-08-01T10:29:14.842177Z","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":"2026-08-01T10:29:15.024490Z","title":"International conference on machine learning , pages=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:15.024490Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:b011fb139c73fb0e6a8992d64a22e85ca20ebcb8a899da2851cc5e75af184a30","observation_id":"ee0a5640-965e-4f0c-bda4-e6fde5f7590d","resolution":{"observed_at":"2026-08-01T10:29:15.024490Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.00749","last_updated":"2024-05-01T03:37:12Z","snapshot_observed_at":"2026-08-13T00:17:54.975851Z","submitted_at":"2024-05-01T03:37:12Z","title":"More is Better: Deep Domain Adaptation with Multiple Sources","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.00749","snapshot_observed_at":"2026-08-01T10:29:15.142921Z","title":"arXiv preprint arXiv:2405.00749 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:15.142921Z"},"links":{"cited_paper":"/paper/2405.00749","citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:5c0f248d906b94ecc79fd7403d44c7bf4ff699f5e7b0bb098a1ca7b73fb26f29","observation_id":"cb9136e5-49c9-4c57-8ebe-93b7331c1669","resolution":{"observed_at":"2026-08-01T10:29:15.142921Z","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":"2026-08-01T10:29:15.215267Z","title":"International Conference on Machine Learning , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:15.215267Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:a85048ccdbffa950347a188235f5217ff2b8e3f9ba90ea5b6b296180279fac7a","observation_id":"02e0f5e4-be6d-4a93-b54e-e21c3670c109","resolution":{"observed_at":"2026-08-01T10:29:15.215267Z","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":"2026-08-01T10:29:15.322755Z","title":"Proceedings of the AAAI conference on artificial intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:15.322755Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:14f5264c7dc7dcc732ded38c519367e1decf5a9a44360bb1a847fbfee0f80dec","observation_id":"acd99e1c-bfcd-4b27-902e-005b0f12dbcc","resolution":{"observed_at":"2026-08-01T10:29:15.322755Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14616","last_updated":"2024-05-23T14:27:07Z","snapshot_observed_at":"2026-08-12T23:59:47.584955Z","submitted_at":"2024-05-23T14:27:07Z","title":"TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14616","snapshot_observed_at":"2026-08-01T10:29:15.474242Z","title":"arXiv preprint arXiv:2405.14616 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:15.474242Z"},"links":{"cited_paper":"/paper/2405.14616","citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:b8b1652e949af69212c8f647c335fa03b06bdaa40d40b4d81a2c7d928debb521","observation_id":"f7f79445-b9b0-4d66-9069-e64221060bdf","resolution":{"observed_at":"2026-08-01T10:29:15.474242Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02186","last_updated":"2023-04-12T02:34:03Z","snapshot_observed_at":"2026-08-15T06:28:14.418963Z","submitted_at":"2022-10-05T12:19:51Z","title":"TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.02186","snapshot_observed_at":"2026-08-01T10:29:15.589644Z","title":"arXiv preprint arXiv:2210.02186 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:15.589644Z"},"links":{"cited_paper":"/paper/2210.02186","citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:d2561d72a56adcc51e55923f97ee8b599495030373769921b511a36431236b58","observation_id":"bafa68c1-a1e0-43d2-8a75-e315afad4111","resolution":{"observed_at":"2026-08-01T10:29:15.589644Z","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":"2026-08-01T10:29:15.704981Z","title":"International conference on machine learning , pages=","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:15.704981Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:42217d5b54874d8bac498fe13d23bb2a1e214ef098fb9c09e7d871660a2918a9","observation_id":"80f4d2af-de87-4ebe-afff-538ddcb651fc","resolution":{"observed_at":"2026-08-01T10:29:15.704981Z","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":"2026-08-01T10:29:15.793675Z","title":"arXiv preprint arXiv:2509.14563 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:15.793675Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:c6a6ab8ef5b2203ec4b8df8d67ad43fb62a283926d2446e92d7d6aad3b8b0666","observation_id":"8dd3c592-57b7-4e21-82bc-782835508e10","resolution":{"observed_at":"2026-08-01T10:29:15.793675Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.04163","last_updated":"2025-05-07T06:26:11Z","snapshot_observed_at":"2026-08-13T04:17:22.674974Z","submitted_at":"2025-05-07T06:26:11Z","title":"Retrieval Augmented Time Series Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.04163","snapshot_observed_at":"2026-08-01T10:29:15.919593Z","title":"arXiv preprint arXiv:2505.04163 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:15.919593Z"},"links":{"cited_paper":"/paper/2505.04163","citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:8947ab8ba0705a667dabcc82eeff89192c6fb694d75e16e1c813673b05a6ae8a","observation_id":"67d8b9b2-df8e-47a1-a584-c543744a6431","resolution":{"observed_at":"2026-08-01T10:29:15.919593Z","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":"2026-08-01T10:29:16.048360Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:16.048360Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:d7391f2b100cac54d46e209aa4c2bbe3712514dd65d0854e1582a1a129519d1d","observation_id":"6d301786-c8fd-4557-99c8-83c67dfd8135","resolution":{"observed_at":"2026-08-01T10:29:16.048360Z","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":"2026-08-01T10:29:16.138986Z","title":"2025 , booktitle=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:16.138986Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:f33c47aa73d16b1d655312d528c1ca84819123d28697a1fa8c820066f46dabf3","observation_id":"648275ad-5eb2-4f8c-bc20-107a212c4d59","resolution":{"observed_at":"2026-08-01T10:29:16.138986Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.19543","last_updated":"2025-06-29T14:57:19Z","snapshot_observed_at":"2026-08-14T21:14:32.217969Z","submitted_at":"2024-04-30T13:14:51Z","title":"RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.19543","snapshot_observed_at":"2026-08-01T10:29:16.199113Z","title":"arXiv preprint arXiv:2404.19543 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:16.199113Z"},"links":{"cited_paper":"/paper/2404.19543","citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:7b373291da0f34e1bfa56579697aed73db49abe24b116908e016c962e56b6475","observation_id":"439aab74-36a3-4761-ae73-4d84e12bdca1","resolution":{"observed_at":"2026-08-01T10:29:16.199113Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12837","last_updated":"2024-10-03T22:29:47Z","snapshot_observed_at":"2026-08-14T02:02:36.563956Z","submitted_at":"2024-10-03T22:29:47Z","title":"A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12837","snapshot_observed_at":"2026-08-01T10:29:16.256935Z","title":"arXiv preprint arXiv:2410.12837 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:16.256935Z"},"links":{"cited_paper":"/paper/2410.12837","citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:814e81f5d493468e37bad7d26451314a38f4936137b57ffca1834a25d659ed77","observation_id":"6855a3b4-d5b4-46b9-85b4-6bf507ff19f0","resolution":{"observed_at":"2026-08-01T10:29:16.256935Z","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":"2026-08-01T10:29:16.333155Z","title":"Limnology and Oceanography , volume=","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:16.333155Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:09a7872160a2c80015c40cd0a5e8814d94dc86fd0453a2bfbda43973ec5154c3","observation_id":"6932812c-e797-42e4-bcb3-a2d75b8efc28","resolution":{"observed_at":"2026-08-01T10:29:16.333155Z","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":"2026-08-01T10:29:16.408891Z","title":"Limnology and Oceanography: Methods , volume=","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:16.408891Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:30f9412d0d04ef6a3dac1782c0ddd2f68b023b902cb7dd9cfc0e4ae5a90db5ca","observation_id":"27147065-66d8-4b58-9663-cb417ed644c0","resolution":{"observed_at":"2026-08-01T10:29:16.408891Z","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":"2026-08-01T10:29:16.522947Z","title":"Geoscientific Model Development , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:16.522947Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:5068d592c9742537908082d9341cff6e981fb3d063514b7e11ffcc1b7eb8fa29","observation_id":"b4a35b84-5835-4d28-84cb-0f45e29a2a74","resolution":{"observed_at":"2026-08-01T10:29:16.522947Z","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":"2026-08-01T10:29:16.604840Z","title":"Limnology and Oceanography , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:16.604840Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:5411a5da448856847c146129ce8634254a249b35fbbcf4994a9a6f11df1d3f99","observation_id":"31791a7d-c06b-499b-9f78-cc824d0c79bd","resolution":{"observed_at":"2026-08-01T10:29:16.604840Z","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":"2026-08-01T10:29:16.678948Z","title":"Nature , volume=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:16.678948Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:97c653ade821ac50b532d3094ccabb85b49d471a632c6b697467ded7c3610f4a","observation_id":"ffde450a-3aea-43b2-92fc-f5e161c87fc1","resolution":{"observed_at":"2026-08-01T10:29:16.678948Z","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":"2026-08-01T10:29:16.759588Z","title":"2024 IEEE International Conference on Data Mining (ICDM) , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:16.759588Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:887ffa648d7062edeab0efea271212b1e97d22fc1806cbf075bdc1694619dab6","observation_id":"8b698d49-9144-4b8c-ba7f-a44187cc0c60","resolution":{"observed_at":"2026-08-01T10:29:16.759588Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.08921","last_updated":"2024-09-10T15:38:56Z","snapshot_observed_at":"2026-08-12T23:03:11.496267Z","submitted_at":"2024-08-15T12:20:24Z","title":"Graph Retrieval-Augmented Generation: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.08921","snapshot_observed_at":"2026-08-01T10:29:16.831438Z","title":"arXiv preprint arXiv:2408.08921 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:16.831438Z"},"links":{"cited_paper":"/paper/2408.08921","citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:7f8d09c01b2b2b866fe7f8151a362daddfbe29210c9042702e755f2ad7e50606","observation_id":"c0b9a40e-cbb2-4d4b-a40c-7fcd13fbe27e","resolution":{"observed_at":"2026-08-01T10:29:16.831438Z","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":"2026-08-01T10:29:16.891197Z","title":"EDIS , volume=","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:16.891197Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:b31c15f21c6091c7355e220f66d62130f602d3c0c6f53cb84db99f21e8113dd1","observation_id":"9edb430d-1ed9-42c7-b4fb-24605b567eb0","resolution":{"observed_at":"2026-08-01T10:29:16.891197Z","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":"2026-08-01T10:29:16.947876Z","title":"Limnology and Oceanography , volume=","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:16.947876Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:a4d6c043fb74c4f35fea96fbeeb7cf9b08b15d6f697e24dd0003ac0c32e1510b","observation_id":"bdb20a96-be4a-450c-a6f4-7ab9b91d0296","resolution":{"observed_at":"2026-08-01T10:29:16.947876Z","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":"2026-08-01T10:29:17.018030Z","title":"Transactions of the American Fisheries Society , volume=","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:17.018030Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:7c2206b254e7eb16a13f8397d5bdafa19a9f75f7335e398c51165d6e9a4e60b1","observation_id":"ebd3807d-0397-4526-8a14-1175418b6e52","resolution":{"observed_at":"2026-08-01T10:29:17.018030Z","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":"2026-08-01T10:29:17.100340Z","title":"Scientific Data , volume=","venue":null,"work_id":null,"year":1984},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:17.100340Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:65e2c59324fd4dc5728a42e04388f67bb30e54f7ab1fdb788830337de4276490","observation_id":"a7a08710-d89f-45e8-8320-138ae6d4d720","resolution":{"observed_at":"2026-08-01T10:29:17.100340Z","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":"2026-08-01T10:29:17.177607Z","title":"Environmental Modelling & Software , volume=","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:17.177607Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:e8e8efa78e6682c677062840f87d234472c3980a7a5742f084368618d8867464","observation_id":"0282fb57-d34e-4157-8095-0c18a94f5175","resolution":{"observed_at":"2026-08-01T10:29:17.177607Z","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":"2026-08-01T10:29:17.255517Z","title":"The Twelfth International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:17.255517Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:8c6512e6ca33d392aae050855321fb7f414d50e9b8632b59f6425aafa81a271b","observation_id":"2b1a7578-60dd-4317-9c88-0dfbc1909bb1","resolution":{"observed_at":"2026-08-01T10:29:17.255517Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.06053","last_updated":"2023-09-11T11:19:49Z","snapshot_observed_at":"2026-08-14T03:01:42.816784Z","submitted_at":"2023-03-10T16:41:24Z","title":"TSMixer: An All-MLP Architecture for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.06053","snapshot_observed_at":"2026-08-01T10:29:17.331865Z","title":"arXiv preprint arXiv:2303.06053 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:17.331865Z"},"links":{"cited_paper":"/paper/2303.06053","citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:834eb1e55c02e71f26402d3e4c3ccb1f76994e36a96cf98f511d8892af896676","observation_id":"00497ecc-8426-404e-87fe-1c63728e6c1b","resolution":{"observed_at":"2026-08-01T10:29:17.331865Z","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":"2026-08-01T10:29:17.408486Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:17.408486Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:a003e07aaa2a2ed71b2ba0c96c469f0aa8012afdd2d6bd4e18baa44f00554c05","observation_id":"d9e89799-0f10-4129-a5e6-a8c8a773062c","resolution":{"observed_at":"2026-08-01T10:29:17.408486Z","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":"2026-08-01T10:29:17.465434Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:17.465434Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:8ed9c16c9a9a882704b592a94d6c9ef65fa6d7be7fbe3c2c4a74d98c87e15a91","observation_id":"db6e09f7-2db2-40c2-b926-8e52790c4819","resolution":{"observed_at":"2026-08-01T10:29:17.465434Z","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":"2026-08-01T10:29:17.523495Z","title":"Proceedings of the 2019 SIAM international conference on data mining , pages=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-08-01T10:29:17.523495Z"},"links":{"citing_paper":"/paper/2607.20230"},"observation_digest":"sha256:24c48ce0de791162efa231080a548c0e4ababe5f195c69aac54992f0b14c47de","observation_id":"ffd30f27-68fb-4883-9be4-a8c284b7f38e","resolution":{"observed_at":"2026-08-01T10:29:17.523495Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.20230","last_updated":"2026-07-22T14:49:10Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T20:19:33.906925Z","submitted_at":"2026-07-22T14:49:10Z","title":"PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":100,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":105},"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 100 of 105 outbound references and 0 inbound Pith citation observations for arXiv:2607.20230."}