{"as_of":"2026-08-15T00:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6f404f0fa0a23a6d9b3db8b9a78c0eedab663814130e75fec6e0549d43a18623","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:00:17.776094Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:34:10.397255Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-30T09:24:32.488223Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"cited_work":{"arxiv_id":"2505.20471","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.20471","snapshot_observed_at":"2026-06-30T09:24:32.488223Z","title":"WeatherEdit: Controllable weather editing with 4D gaussian field.arXiv preprint arXiv:2505.20471, 2025","venue":null,"work_id":"6510f8b5-ea9f-4c18-964a-97e2e501a3a5","year":2025},"citing_paper":{"arxiv_id":"2604.18993","last_updated":"2026-04-21T02:24:49Z","snapshot_observed_at":"2026-08-10T22:59:11.522205Z","submitted_at":"2026-04-21T02:24:49Z","title":"AutoAWG: Adverse Weather Generation with Adaptive Multi-Controls for Automotive Videos","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T03:26:27.592191Z"},"links":{"cited_paper":"/paper/2505.20471","citing_paper":"/paper/2604.18993"},"observation_digest":"sha256:475026bff50bd271e25f9be048224f3b75541dce54bdc0412e3c3c3304da53c6","observation_id":"ba988fde-3b21-414c-b0b7-cd213b6c7236","resolution":{"observed_at":"2026-05-10T03:29:21.928846Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"cited_work":{"arxiv_id":"2505.20471","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.20471","snapshot_observed_at":"2026-06-30T09:24:32.488223Z","title":"WeatherEdit: Controllable weather editing with 4D gaussian field.arXiv preprint arXiv:2505.20471, 2025","venue":null,"work_id":"6510f8b5-ea9f-4c18-964a-97e2e501a3a5","year":2025},"citing_paper":{"arxiv_id":"2606.29020","last_updated":"2026-06-27T17:38:21Z","snapshot_observed_at":"2026-07-07T00:03:02.476882Z","submitted_at":"2026-06-27T17:38:21Z","title":"Semantic-Aware, Physics-Informed, Geometry-Grounded Weather Video Synthesis","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-06-30T09:19:50.748415Z"},"links":{"cited_paper":"/paper/2505.20471","citing_paper":"/paper/2606.29020"},"observation_digest":"sha256:e65d1762827ab7f030296d5fcbd897d4c9841ae4e6fe3111af44ccfc72adb5a8","observation_id":"7966978c-7aa0-44eb-9daf-46bb0ffd278e","resolution":{"observed_at":"2026-06-30T09:24:32.490033Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.20471","snapshot_observed_at":"2026-08-01T01:59:52.818123Z","title":"Weatheredit: Controllable weather editing with 4d gaussian field,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25612","last_updated":"2026-07-28T11:43:17Z","snapshot_observed_at":"2026-08-11T22:33:39.306286Z","submitted_at":"2026-07-28T11:43:17Z","title":"Multi-Sensor Alignment for Weather Simulations","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T01:59:52.818123Z"},"links":{"cited_paper":"/paper/2505.20471","citing_paper":"/paper/2607.25612"},"observation_digest":"sha256:83b46ec100a3a530817321c20efb9827fce015c5abb68c974490f4a95e5272c7","observation_id":"f826b389-6460-4ec1-801d-a182a16c406e","resolution":{"observed_at":"2026-08-01T01:59:52.818123Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.20471","snapshot_observed_at":"2026-08-07T00:34:10.397255Z","title":"Weatheredit: Controllable 13 weather editing with 4D gaussian field","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.04412","last_updated":"2026-08-05T03:47:18Z","snapshot_observed_at":"2026-08-11T05:48:38.558419Z","submitted_at":"2026-08-05T03:47:18Z","title":"muSync-GS: Physics-Synchronized Driving Video Synthesis for Weather and Geometric Road Hazards","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T00:34:10.397255Z"},"links":{"cited_paper":"/paper/2505.20471","citing_paper":"/paper/2608.04412"},"observation_digest":"sha256:de584f247b7f2ce05f37ea32badb45b93eaab5e4bb27b07dc4e134cb85851ffa","observation_id":"8751d46a-12e2-426a-96d1-a227a836fe3b","resolution":{"observed_at":"2026-08-07T00:34:10.397255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.20471/citation-record","integrity":"/paper/2505.20471/integrity","json":"/paper/2505.20471/citation-record.json","paper":"/paper/2505.20471"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:13.695340Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:13.695340Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:8a4151cf473734445e87840f3d30e67728a50ca85d6b9a0539051aef457d92e1","observation_id":"0769bcc2-28b9-4c9d-8859-edf0ae428e6a","resolution":{"observed_at":"2026-08-07T14:00:13.695340Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:23.635893Z","title":"Deep learning-based robust positioning for all-weather autonomous driving","venue":null,"work_id":"198af229-ff79-4117-b842-11bbeea4ac40","year":2022},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:13.790136Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:9baa978dc91a0b4ca2f907f162bc463d138caf629912557affbc6f59961d5554","observation_id":"57e6f12e-6bfa-40fc-bf86-85e1d328369b","resolution":{"observed_at":"2026-08-07T14:00:23.703303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:23.503503Z","title":"On a measure of divergence between two statistical populations defined by their probability distributions","venue":null,"work_id":"f7a3da39-fa75-4bf2-b0c1-7fd0558eb629","year":1943},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:13.887801Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:6a510e5510c651f74a485dae8cbe4998af1a72ef465820a454e55c178f0553af","observation_id":"fda21319-68c4-490d-9acd-99f9b325f6ed","resolution":{"observed_at":"2026-08-07T14:00:23.554630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:23.360745Z","title":"Muses: The multi-sensor semantic perception dataset for driving under uncertainty","venue":null,"work_id":"fd35c871-cf6d-4174-99d5-3287adabe1d0","year":2024},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:13.978559Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:a905b5681cf1e7a35e8430502490a184c0c8459090390cedfe055d4f40cabb28","observation_id":"2990e0c7-acd0-4524-a7c9-f6b5466497ca","resolution":{"observed_at":"2026-08-07T14:00:23.452809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:23.113573Z","title":null,"venue":null,"work_id":"b2440a2b-ab20-42de-8bd0-9638cce53bc7","year":2023},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:14.070267Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:156655533026ee8a957f16fb43f62f4b2dd856ccd64e85fa1b64cb514aa58a18","observation_id":"6bc15452-edb8-4639-afb7-b96de8fcd8d2","resolution":{"observed_at":"2026-08-07T14:00:23.219801Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:14.169705Z","title":"nuscenes: A multimodal dataset for autonomous driving","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:14.169705Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:66f1b6af8c627143262c5cf8be759c51c24d9ca0ed0b07af800498bbd51f4bb4","observation_id":"5313155f-0394-4f57-b8be-0bd77297df8c","resolution":{"observed_at":"2026-08-07T14:00:14.169705Z","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":"2026-08-07T14:00:14.309915Z","title":"Omnire: Omni urban scene reconstruction","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:14.309915Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:2037a6c851bb4e87cb3c3d6de7b835e9a24139bc4cde12a3d2ff2445acddc162","observation_id":"8a32aeb7-c1cd-48f6-91f4-2047f98bc07d","resolution":{"observed_at":"2026-08-07T14:00:14.309915Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:22.809674Z","title":"Turboedit: Text-based image editing using few-step diffusion models, 2024","venue":null,"work_id":"81f1ec63-4fd6-4816-8d14-1437623bb0c5","year":2024},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:14.411925Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:c49831c5788dba1b45f967c08358b4ebe7e46a4883435c3c2f3d446c67b6a990","observation_id":"f18d9385-0ec9-49fe-9f46-7b98593673ad","resolution":{"observed_at":"2026-08-07T14:00:22.939403Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:22.506883Z","title":"Modeling the accumulation of wind-driven snow","venue":null,"work_id":"3951bd26-cc87-4338-93ed-aa0fbeea150f","year":2002},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:14.536551Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:4209bef421d4c2d84df40ab06d51b78da75f5decdc3ad6e1fcfcee258ba70891","observation_id":"fda8d956-4afa-4076-94a7-176fddf00bde","resolution":{"observed_at":"2026-08-07T14:00:22.662699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:22.250440Z","title":"Stylegan-nada: Clip-guided domain adaptation of image generators","venue":null,"work_id":"ac086de2-5c8a-4a9a-a945-caee6d3a17c8","year":2022},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:14.639130Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:0b30f254c8c7f9a597bcf473e940ea160ddfa97ed21f483a9dd91386d72f163a","observation_id":"81dd6a7a-b47c-49f3-8b29-87d499b8a81e","resolution":{"observed_at":"2026-08-07T14:00:22.372724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:21.975457Z","title":"A history of the unity game engine","venue":null,"work_id":"4db160b3-6d41-4587-85cf-dd1a264876ee","year":2014},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:14.738772Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:e3e82dcd4ec8e9664f44f7028fb180bfe6c24741f884d12c1b206def40edb196","observation_id":"cd452d46-6a7c-45b3-8d36-d83bb1f072eb","resolution":{"observed_at":"2026-08-07T14:00:22.105427Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:21.738796Z","title":"Semantic understanding of foggy scenes with purely synthetic data","venue":null,"work_id":"bce28238-e23c-4cec-8726-b009020b1ddb","year":2019},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:14.866770Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:a08027acd6b994dcc698b92aff1e45713f3e048f9d962a48d5e591570020a2a6","observation_id":"bf4bb8b4-8b80-486f-9069-fa8612e7acb8","resolution":{"observed_at":"2026-08-07T14:00:21.871059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:14.959175Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:14.959175Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:19559af783615cf35c6ab62f9416ec65b2d9804779aa39a7b4a8f37a7179dfe0","observation_id":"00000a53-1fdb-426e-9399-5fdc3e479ac9","resolution":{"observed_at":"2026-08-07T14:00:14.959175Z","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":"2026-08-07T14:00:15.042884Z","title":"Lora: Low-rank adaptation of large language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:15.042884Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:24ed49aea406dbd43fdef04e8f7878345913a410ea0591128a60b67b07e6e0ac","observation_id":"202ce50f-f22c-4389-af3d-fac999bc90f5","resolution":{"observed_at":"2026-08-07T14:00:15.042884Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:21.484547Z","title":"Weathergan: Unsupervised multi-weather image-to-image translation via single content-preserving uresnet generator","venue":null,"work_id":"aca1d112-07c1-4061-bb9d-c3753781c536","year":2022},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:15.139005Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:42a492682eeea3cbabc74ecff3db9ff825cb9278a424b8e4c9def17f0a4ff431","observation_id":"5fae6361-38bc-49fc-9357-21fb7101f706","resolution":{"observed_at":"2026-08-07T14:00:21.595618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:15.238185Z","title":"3d gaussian splatting for real-time radiance field rendering","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:15.238185Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:ada582563877617693d05a88441254e9efa2e5efb086400b2fddda6a28ea27fd","observation_id":"3cb86914-706d-46be-80c6-e31e532f7fef","resolution":{"observed_at":"2026-08-07T14:00:15.238185Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:21.334784Z","title":"A closed-form solution to photorealistic image stylization","venue":null,"work_id":"8d40259d-bc24-48e3-be0c-0413d6df6ef3","year":2018},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:15.306933Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:257ddb182f64308fc67bc551e328c372ca901e01eb94f1ee9c51ebe25e8171fb","observation_id":"15ec2444-93b6-44d2-bc54-943e9c328d6c","resolution":{"observed_at":"2026-08-07T14:00:21.396722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:21.196008Z","title":"Climatenerf: Extreme weather synthesis in neural radiance field","venue":null,"work_id":"feecff4c-0817-4bb8-85ea-dcf953d51673","year":2023},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:15.381981Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:bc6dba8e0e333eeb9ce8d47ed1c136f88137db6129562d365edd492c4724e1ed","observation_id":"b2f36f2a-bdda-4ee0-9e71-d2b6ce3d11cb","resolution":{"observed_at":"2026-08-07T14:00:21.256810Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:21.053346Z","title":"Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d","venue":null,"work_id":"416c1812-3f6c-4879-881b-7dd3a98d92b1","year":2022},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:15.453904Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:39f5a678fdf9908ea2135dc583bb34edc3c897802d5a6622943c436fb3b1a820","observation_id":"11ccd58e-f0a3-4385-94e9-18bba119c978","resolution":{"observed_at":"2026-08-07T14:00:21.133321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:20.915733Z","title":"Magic3d: High-resolution text-to-3d content creation","venue":null,"work_id":"073e4377-4d4d-4f93-82cd-3ae3b61ce391","year":2023},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:15.558399Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:0492eb0b0130750c682bc8e25969e67268f010cf614efdf38880441f70ecf88b","observation_id":"a2927c40-df8e-422e-977e-1c64ca1b957d","resolution":{"observed_at":"2026-08-07T14:00:21.006201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:20.677819Z","title":"Humangaussian: Text-driven 3d human generation with gaussian splatting","venue":null,"work_id":"ea4e8f49-2cbd-4e79-b511-8c66e640dbe0","year":2024},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:15.679437Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:ab317c5934d4f05f71323fdcc4bfd3c502d3f37aa34cabc28663711f60dec9b6","observation_id":"5e0ff693-55e7-4247-b515-2cb259d9b7b2","resolution":{"observed_at":"2026-08-07T14:00:20.792899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.01073","last_updated":"2022-01-05T00:07:35Z","snapshot_observed_at":"2026-08-14T03:40:56.071989Z","submitted_at":"2021-08-02T17:59:47Z","title":"SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.01073","snapshot_observed_at":"2026-08-07T14:00:15.760559Z","title":"Sdedit: Guided image synthesis and editing with stochastic differential equations","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:15.760559Z"},"links":{"cited_paper":"/paper/2108.01073","citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:37fafbb883e6ebfa5fd8a055fb4d619b3966c1596be08e36452ceff40b114734","observation_id":"8ba03d1b-d6d5-4075-87af-ff7003b29fc6","resolution":{"observed_at":"2026-08-07T14:00:15.760559Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:20.547113Z","title":"Srinivasan, Matthew Tancik, Jonathan T","venue":null,"work_id":"ff9b29ec-415e-4aac-8272-4f5d7b7bc7b2","year":2020},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:15.879095Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:3bce484a13f072c8f209da5170ca70d92bb64769b3afde855d21ff2054a0a11f","observation_id":"89d18733-38ac-4060-9b3c-3d4c91e3e20d","resolution":{"observed_at":"2026-08-07T14:00:20.609539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:20.397888Z","title":"T2i-adapter: learning adapters to dig out more controllable ability for text-to-image diffusion models","venue":null,"work_id":"9d928d54-5835-473f-8413-c71ba14daf9d","year":2024},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:15.944043Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:6d757791e8abd0ccdf5301a8d56c3424cec406c3377df9d5a3c28e3602fd8fd8","observation_id":"26639736-f8be-4f29-9a24-6a9cef4a7169","resolution":{"observed_at":"2026-08-07T14:00:20.473788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12036","last_updated":"2024-03-18T17:59:40Z","snapshot_observed_at":"2026-08-13T00:51:00.135177Z","submitted_at":"2024-03-18T17:59:40Z","title":"One-Step Image Translation with Text-to-Image Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12036","snapshot_observed_at":"2026-08-07T14:00:16.022975Z","title":"One-step image translation with text-to-image models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:16.022975Z"},"links":{"cited_paper":"/paper/2403.12036","citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:931c7cb0e8fa12940bd6a9f9b87552bf875a6f287cddfe407aace24c81529a08","observation_id":"5dc98436-3992-4beb-ab2b-368b591c3b66","resolution":{"observed_at":"2026-08-07T14:00:16.022975Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:20.247833Z","title":"Weathergs: 3d scene reconstruction in adverse weather conditions via gaussian splatting","venue":null,"work_id":"4e9080cf-afbe-4b87-9a11-3edf753e7e0b","year":2025},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:16.136827Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:de1f5f3fa7f4b59093eafe9f70e87d90a78f11bd23e3d944da940b84dea2df80","observation_id":"3e8bba0b-84cf-4729-b09b-8a469f96b089","resolution":{"observed_at":"2026-08-07T14:00:20.322016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:20.106822Z","title":"Weatherdg: Llm-assisted procedural weather generation for domain-generalized semantic segmentation","venue":null,"work_id":"f14009b1-5b77-4718-bedf-03461805266c","year":2025},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:16.223613Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:ea3fa561c1ffd0a7718ee9198f661adc1d6ffc32d25dc6fbf6d4ea3229c4049d","observation_id":"a7d18979-f6ab-4d92-a227-b2fb8602517c","resolution":{"observed_at":"2026-08-07T14:00:20.183885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:19.972231Z","title":"Allweather-net: Unified image enhancement for autonomous driving under adverse weather and low-light conditions","venue":null,"work_id":"b0b54f37-e0db-4950-aad1-55192dc3f9c7","year":2025},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:16.319282Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:437a19656eb2a8bacaa42db41868752d1f93f2121d49bf55a0e8d3af96f5e8d3","observation_id":"af4c6a5f-4ab8-4049-b315-9d55e1528c66","resolution":{"observed_at":"2026-08-07T14:00:20.034215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:16.397971Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:16.397971Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:f8e1ad713022b6bbbfcfc16517543742f8155db6ac0d2b2b2e19bdaabb11db60","observation_id":"4a6ce85f-a960-4e5a-bfb9-8b7f648a007b","resolution":{"observed_at":"2026-08-07T14:00:16.397971Z","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":"2026-08-07T14:00:16.485506Z","title":"High-resolution image synthesis with latent diffusion models, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:16.485506Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:dcb427688f55c9d39fa6ff87ae21d439ff642984defd7671847ccecf12f96ca3","observation_id":"7fa4e0e2-37c5-4577-8545-54879d057bbb","resolution":{"observed_at":"2026-08-07T14:00:16.485506Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:19.783653Z","title":"Let it snow: On the synthesis of adverse weather image data","venue":null,"work_id":"d2ca0913-122e-4ae7-92eb-b76a6337d9e1","year":2021},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:16.557763Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:47e7a6aa9a17d3d0b9668f18edf4a581cb3c9ea81db4fc0fd72d2602a492495e","observation_id":"6e493836-74e0-47bb-9e1f-4af960cf9534","resolution":{"observed_at":"2026-08-07T14:00:19.861222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:19.643889Z","title":"Acdc: The adverse conditions dataset with correspondences for semantic driving scene understanding","venue":null,"work_id":"0903cd39-aef4-4e9d-8179-ec46d4434dfb","year":2021},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:16.648449Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:e964d06551c2f0eb6971380b0caf0f0fedaaca1b8b1ece554507e8fe35213599","observation_id":"cec4d606-bb0e-4763-b580-2bb711ad0464","resolution":{"observed_at":"2026-08-07T14:00:19.700378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:19.520222Z","title":"Climategan: Raising climate change awareness by generating images of floods","venue":null,"work_id":"2df1b5ee-d2b0-4109-bc32-1f704dbf6152","year":null},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:16.724246Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:3c3be94a455b2491fa71990a03712b5ed92c79be4f1bcb645636e31f4fa88f3e","observation_id":"865918a3-000a-46bf-bcfc-8d57aaa7b82f","resolution":{"observed_at":"2026-08-07T14:00:19.569638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.03709","last_updated":"2019-05-02T15:34:53Z","snapshot_observed_at":"2026-08-14T16:38:09.569312Z","submitted_at":"2019-05-02T15:34:53Z","title":"Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.03709","snapshot_observed_at":"2026-08-07T14:00:16.820949Z","title":"Visualizing the consequences of climate change using cycle-consistent adversarial networks","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:16.820949Z"},"links":{"cited_paper":"/paper/1905.03709","citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:9fe9b15fd971255d46928031ce1914b50ea24531bbf98e6ad87ab6c76f1f13af","observation_id":"afa89889-1a12-4a4a-9eae-e95e9055b8be","resolution":{"observed_at":"2026-08-07T14:00:16.820949Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:19.350040Z","title":"A material point method for snow simulation","venue":null,"work_id":"f8bf121b-ff95-4033-9696-79a62bc48fbf","year":2013},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:16.915076Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:8dc50d5975f9557d3505ad5115915058c27277bd9922c5f1ce5fd37a18184456","observation_id":"69e2d63f-15a8-4a2a-9757-0e7c12ee70ab","resolution":{"observed_at":"2026-08-07T14:00:19.416373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:17.010314Z","title":"Scalability in perception for autonomous driving: Waymo open dataset","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:17.010314Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:3c26d31f3ba40adadee4f2762a0dce82789cb252beffdf5603d8084ed5979500","observation_id":"0dfa2049-0123-48a3-9c36-339fb2a76600","resolution":{"observed_at":"2026-08-07T14:00:17.010314Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:19.207799Z","title":null,"venue":null,"work_id":"60bad6f0-f960-4272-9855-ec5eeb2f86a7","year":2022},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:17.077939Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:510b2a3ee3e2cf1641e505e3b0e8075b884b71cabbf39fe3c3a8cc3f2373aea6","observation_id":"7510fed7-252a-4469-889c-3f366eab3935","resolution":{"observed_at":"2026-08-07T14:00:19.264970Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:19.060204Z","title":"Pandaset: Advanced sensor suite dataset for autonomous driving","venue":null,"work_id":"4f2b0278-8b30-46ea-aaf0-e709c807465d","year":2021},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:17.172086Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:137b91c3575b1fca07b95d98e14c0a072015f75806057abcbdd75b45c900c95d","observation_id":"c862898c-2b90-4a2b-933d-73d795d7fd27","resolution":{"observed_at":"2026-08-07T14:00:19.124968Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:18.872043Z","title":"Nerf-ds: Neural radiance fields for dynamic specular objects","venue":null,"work_id":"3bd2cbac-956b-46e7-9c30-6982e5a5ed0b","year":2023},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:17.264681Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:5655c4791faf27044b80f5494c6f88a03b46cc01d54090ed555408bb61369b93","observation_id":"97aba290-2144-4fbe-8fa5-68a530a3bf40","resolution":{"observed_at":"2026-08-07T14:00:18.958118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:18.722043Z","title":"Aviles-Rivero, Yulun Zhang, Jing Qin, and Lei Zhu","venue":null,"work_id":"596952bd-0658-4b10-b533-e3436bdb12c9","year":2024},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:17.382675Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:46843f2b55e9f195e566c67eb6e92fcb5810f175f9b40501a20a555ba01b9921","observation_id":"9bedfcc3-d5b2-45ce-ae1b-a75eba205d1c","resolution":{"observed_at":"2026-08-07T14:00:18.810000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:18.549204Z","title":"Bdd100k: A diverse driving dataset for heterogeneous multitask learning","venue":null,"work_id":"9760e201-6a64-4f94-89c3-4b3914bf0b6e","year":2020},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:17.454266Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:4d63d39475e056414e887a587af12a11bb6e8fd6281fbc57feebad35f3a01198","observation_id":"b5dc4cf7-d06e-4d79-9240-31f26633a7bd","resolution":{"observed_at":"2026-08-07T14:00:18.641866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:18.412504Z","title":"Weatherstream: Light transport automation of single image deweathering","venue":null,"work_id":"b616d3f5-9d42-4b52-b8d3-304158158c67","year":2023},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:17.542685Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:63bd039e83f128ca09abefdd12cfad20e5177cc7926add5f46780c9d64c6837b","observation_id":"a7b1b7b9-d613-4364-99a4-30b2abc7442e","resolution":{"observed_at":"2026-08-07T14:00:18.457282Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:18.237152Z","title":"Adding conditional control to text-to-image diffusion models","venue":null,"work_id":"64275296-2736-407c-8c00-f8cd13d207e9","year":2023},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:17.605589Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:bed729dc9b2e834fa91542493416429a1e3433fa3c1cb6f16c50ccd3c8a17aad","observation_id":"14ecd829-8086-43a2-8008-9945154194cb","resolution":{"observed_at":"2026-08-07T14:00:18.315862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:18.075921Z","title":"Unpaired image-to-image translation using cycle-consistent adversarial networks","venue":null,"work_id":"c3873701-b398-4926-bfdc-049274eff92a","year":2017},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:17.694250Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:0c45e184b0e612036a00ce29372eead0d412d04ecfc84663e36e3edad0071fbd","observation_id":"7b7371c6-9bf1-48b8-83d4-bec88b9c8dcf","resolution":{"observed_at":"2026-08-07T14:00:18.136004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:17.914311Z","title":"The flow from simulation to reality","venue":null,"work_id":"06e3e727-03f3-4947-8bf7-55800466fb33","year":2022},"citing_paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field","version":3},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-07T14:00:17.776094Z"},"links":{"citing_paper":"/paper/2505.20471"},"observation_digest":"sha256:4470ae4dfd92c20a8bf2ce9ac0b74725bce838402c7a59532b64fe62a03c32c1","observation_id":"bab0f7ef-cc1e-4e38-9ab8-e1a215508263","resolution":{"observed_at":"2026-08-07T14:00:17.995179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.20471","last_updated":"2025-08-07T13:07:35Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T04:20:49.870052Z","submitted_at":"2025-05-26T19:10:47Z","title":"WeatherEdit: Controllable Weather Editing with 4D Gaussian Field"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":0,"verified_fuzzy":31},"total_outbound_references":45},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 4 inbound Pith citation observations for arXiv:2505.20471."}