{"as_of":"2026-08-10T03:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ff9d3469dae4e2a3a9d02a0e83b3c4db9929d8afb70d5841dcc8e3f04e4d1d76","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T00:04:51.065659Z","state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2607.23237/citation-record","integrity":"/paper/2607.23237/integrity","json":"/paper/2607.23237/citation-record.json","paper":"/paper/2607.23237"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:04:48.292514Z","title":"Bramm, Pavel V","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:48.292514Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:4aca8bd17b42ad33bc6301767321a90d7aeef4fe714597a444ea447e101ddbe9","observation_id":"923864e6-af53-4a7d-b7c8-4b8e9de48cb5","resolution":{"observed_at":"2026-08-01T00:04:48.292514Z","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":"2026-08-01T00:04:48.754960Z","title":"Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:48.754960Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:9ca736d458e4e2276cb5c848f246670de6af2c31aaa7e8351366ae95f097cd56","observation_id":"6db38701-c0b0-4988-902a-1b45e9b98e14","resolution":{"observed_at":"2026-08-01T00:04:48.754960Z","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":"2026-08-01T00:04:49.395126Z","title":"Lundberg and Su-In Lee","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:49.395126Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:a2cbaee82ba3f663561a5a95195330c341ba13fdd96468a6d8a66f96122243bc","observation_id":"fd7dd5fa-3d79-41fc-863f-b1317a6cc901","resolution":{"observed_at":"2026-08-01T00:04:49.395126Z","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":"2026-08-01T00:04:49.673541Z","title":null,"venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:49.673541Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:eb2f472b30efbb8bdc0498e74e910e57f57200854459098569695bb60fc2a5db","observation_id":"5bb4bf78-d23a-4c85-ba6b-a4a7895f049b","resolution":{"observed_at":"2026-08-01T00:04:49.673541Z","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":"2026-08-01T00:04:50.076621Z","title":"Flood forecasting with machine learning models in an operational framework.Hydrology and Earth System Sciences, 26(15):4013–4032,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:50.076621Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:02140263c9ab458eff6316342e04e5eaf138134423eeb7b1dd301578cca108cb","observation_id":"b5040364-2ea3-466c-a0e4-68dc8bd4a238","resolution":{"observed_at":"2026-08-01T00:04:50.076621Z","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":"2026-08-01T00:04:50.193591Z","title":"”why should i trust you?”: Explain- ing the predictions of any classifier","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:50.193591Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:6c1e360f54a8db5fdf59aed4bf8ad4370c278489c708797e59528b3d411c9071","observation_id":"7869a827-ce25-43d2-a57b-e301b0a038a3","resolution":{"observed_at":"2026-08-01T00:04:50.193591Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.00950","last_updated":"2021-04-02T09:14:00Z","snapshot_observed_at":"2026-08-09T20:28:17.305240Z","submitted_at":"2021-04-02T09:14:00Z","title":"Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.00950","snapshot_observed_at":"2026-08-01T00:04:50.517986Z","title":"Explainable artificial intelligence (xai) on timeseries data: A survey","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:50.517986Z"},"links":{"cited_paper":"/paper/2104.00950","citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:12e756d0781c1ad1628418c10e712c9637ba799ae72728fb231cb3b33800b26f","observation_id":"3b6008c7-95d8-4dd9-8f4e-415a008e1b54","resolution":{"observed_at":"2026-08-01T00:04:50.517986Z","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":"2026-08-01T00:04:50.806175Z","title":"Deep inside convolutional networks: Visualising image classification models and saliency maps","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:50.806175Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:ce8c725e9f9474fe61691fe0205a48c8c71c5838999855def51045568b797764","observation_id":"dc6e2193-b8b9-43a6-91b4-08c44bff820c","resolution":{"observed_at":"2026-08-01T00:04:50.806175Z","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":"2026-08-01T00:04:51.065659Z","title":"From black box to insight: Explainable ai for extreme event pre- paredness","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:51.065659Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:bd327aba187d7fa54bce7e5f5ef1d29e059dec65bc1041ef3ad265ef6b454fb9","observation_id":"7d657690-b6bd-4e20-8842-8b144f809957","resolution":{"observed_at":"2026-08-01T00:04:51.065659Z","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":"2026-08-01T00:04:49.807456Z","title":"Towards flash-flood prediction in the dry dead sea region utilizing radar rainfall information","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":2007,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:49.807456Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:09d9c16612360f570009f1926f4afe2ecbed1ad0836065c17f7647fa57d52c41","observation_id":"51ee394e-e18b-43d2-8123-c0e12a52c0ad","resolution":{"observed_at":"2026-08-01T00:04:49.807456Z","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":"2026-08-01T00:04:49.927838Z","title":"Global prediction of extreme floods in ungauged watersheds.Nature, 627:559–563,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":2009,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:49.927838Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:f6c0582bdc0e013fc1292e8744407411c259735b55586046a5667ae089dd0c52","observation_id":"8c4c4558-0f40-4b83-9661-1efdc50e1d84","resolution":{"observed_at":"2026-08-01T00:04:49.927838Z","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":"2026-08-01T00:04:50.925444Z","title":"Transparency in ai for emer- gency management: building trust and accountability.AI and Ethics, 5:3967–3980, Mar","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:50.925444Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:b061231bf364df7d5ca76daa907820590e69ee4f56628770ee333b00c828ded1","observation_id":"0bb33787-bd66-4345-ac88-98b3aa51dc05","resolution":{"observed_at":"2026-08-01T00:04:50.925444Z","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":"2026-08-01T00:04:50.329751Z","title":"Controls of flash flood peak discharge in mediterranean basins and the special role of runoff-contributing areas.Journal of Hydrology, 565:846– 860,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:50.329751Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:c43e5ee8ca2d9fae3abf44f9d2adeff22f9ebfea1ddc11f883cc3ce154995bc3","observation_id":"2ca4ad6a-68b1-4a57-8985-7ca1647d3ab7","resolution":{"observed_at":"2026-08-01T00:04:50.329751Z","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":"2026-08-01T00:04:49.557627Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:49.557627Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:aca37df099fcbd092d21e2dcc27f66029d20d51ac7421f4779351694d3fc79eb","observation_id":"2d280c8f-aa9f-46a3-8ce7-7efa7cbfbb95","resolution":{"observed_at":"2026-08-01T00:04:49.557627Z","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":"2026-08-01T00:04:48.906910Z","title":"Concept bottleneck models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:48.906910Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:574df1b4a85c2a1453b7f263e93e026b6f6404d3be83ef0f0f255da3e690a27f","observation_id":"44b30a15-d9a7-457b-9e45-8d1586486d1f","resolution":{"observed_at":"2026-08-01T00:04:48.906910Z","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":"2026-08-01T00:04:49.176789Z","title":"Caravan: A global community dataset for large-sample hydrology.Sci- entific Data, 10(1):61,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:49.176789Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:a36a73537e82b84e037122c6685df3840458f28b71a34793d6b6fa7213d83cc9","observation_id":"d4f02b38-7a63-45e8-b505-0e786b17bbf5","resolution":{"observed_at":"2026-08-01T00:04:49.176789Z","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":"2026-08-01T00:04:49.024730Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:49.024730Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:d2a3b72f725db30fdaf91748acc3989f34740fb4e0c4992aaed89328b09b8a03","observation_id":"c7e0dd6b-c381-44aa-a1fb-e364fe791baa","resolution":{"observed_at":"2026-08-01T00:04:49.024730Z","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":"2026-08-01T00:04:50.650417Z","title":"Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:50.650417Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:6c31b5ad3b1d1b19a2c9610744a2e3158d76689b36e91656a86ea26139504cc1","observation_id":"39efc351-5336-45d0-9f21-e09f2aae1dc3","resolution":{"observed_at":"2026-08-01T00:04:50.650417Z","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":"2026-08-01T00:04:48.623588Z","title":"River flooding mechanisms and their changes in europe revealed by explainable machine learn- ing.Hydrology and Earth System Sciences, 26(24):6339– 6359,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:48.623588Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:f6ff65d441867bd5b1ae0ba9d951f99dd5c12d4802dc8ef6305bb20713ec1fbe","observation_id":"7f7993a9-6c87-40f3-87d1-f91f38326f8f","resolution":{"observed_at":"2026-08-01T00:04:48.623588Z","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":"2026-08-01T00:04:49.273830Z","title":"Probing the limit of hydrologic predictability with the transformer network.Journal of Hydrology, 637:131389,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:49.273830Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:37d068b1c0bc199b8b579f0e86115d7e16505caa9413d112fdb2f74c0081dab5","observation_id":"91c1b462-2fc0-4a4b-a067-572553ab5fe0","resolution":{"observed_at":"2026-08-01T00:04:49.273830Z","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":"2026-08-01T00:04:48.479155Z","title":"Frame, Frederik Kratzert, Daniel Klotz, Martin Gauch, Guy Shalev, Oren Gilon, Lorne M","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:48.479155Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:8dbf2a5355141cbd21d175526ff28fd48af90942eb52e69061a12916b9f6fee6","observation_id":"899154ef-53e0-4ba0-a3e6-0a8219f09284","resolution":{"observed_at":"2026-08-01T00:04:48.479155Z","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":"2026-08-01T00:04:48.362636Z","title":"Matin, Ghassan Beydoun, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-01T00:04:48.362636Z"},"links":{"citing_paper":"/paper/2607.23237"},"observation_digest":"sha256:08b7acb7c09f02112d5b5666d941a5f74e6ca74e2e41a20b6eb74a86d998ecc9","observation_id":"eae0f9db-9bf5-4221-a19f-b58e5b8f2774","resolution":{"observed_at":"2026-08-01T00:04:48.362636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.23237","last_updated":"2026-07-25T14:45:26Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-01T00:04:47.902158Z","submitted_at":"2026-07-25T14:45:26Z","title":"Context-Aware Concept Distillation for Trustworthy Flood Prediction"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":22,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":22},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.23237."}