{"as_of":"2026-08-16T01:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:351dd6fddedefe31e6c47a2bd3faa75d0b104a91d732eafd2d290a15549f4f04","coverage":[{"denominator":57,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":57,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T13:54:17.552706Z","state":"measured"},{"denominator":57,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":57,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2604.13383/citation-record","integrity":"/paper/2604.13383/integrity","json":"/paper/2604.13383/citation-record.json","paper":"/paper/2604.13383"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Argan: Attentive recurrent generative adversarial network for shadow detection and removal","venue":null,"work_id":"3983a6db-c5a3-4b84-bddd-544475f6e045","year":2019},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:64e96c8c8da2c5af3da8158f51a075605e5d1bd13c7b9d36d44a90975eebc11e","observation_id":"b86fd20e-9cc8-42eb-9bc1-20f0a39d6a5d","resolution":{"observed_at":"2026-05-18T20:22:52.035625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Shadowrefiner: Towards mask-free shadow removal via fast fourier transformer","venue":null,"work_id":"f6175ff1-8e42-4d46-9778-16048df32aec","year":2024},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:5bbe7581ebebd055d66fc39b22d1152e574577b85864aa55a6eb0ba91ba17d1d","observation_id":"b9fab638-dcc5-4123-ac35-11387bccd678","resolution":{"observed_at":"2026-05-18T20:22:52.039238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dehazedct: Towards effective non- homogeneous dehazing via deformable convolutional trans- former","venue":null,"work_id":"cb863846-410c-4cc7-9417-7f46fb2e0395","year":2024},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:bef8744aec4300e21dce9928678101014aa102d4705d2ac332b7fb166861e10b","observation_id":"6a776e89-f088-4f7c-b7ae-be68345b22ac","resolution":{"observed_at":"2026-05-18T20:22:52.031947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Ecmamba: Consolidating selective state space model with retinex guidance for efficient multiple exposure correc- tion.Advances in Neural Information Processing Systems","venue":null,"work_id":"f7a33f9f-6dd2-432e-8273-ef90d7dd0790","year":2024},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:9323d72756e74e7606d5e36df2da0b807b292e5922bb2a85ca6f777588e9d5b8","observation_id":"421c803b-2edc-4a33-b0ff-98540f03909a","resolution":{"observed_at":"2026-05-18T20:22:52.202885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"To- wards scale-aware low-light enhancement via structure- guided transformer design","venue":null,"work_id":"fcc4c3c5-0736-4d73-aca7-443f2eb9e1f5","year":2025},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:10d22b2b00d7d640cc54b802b2263fc40f7814894d687e2dbc45a813f3c625a4","observation_id":"5f22a597-3797-406e-8174-8f3394e36c4c","resolution":{"observed_at":"2026-05-18T20:22:52.145709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Retinex-guided histogram transformer for mask-free shadow removal","venue":null,"work_id":"4dbfbbab-6610-4963-aff9-7e0a77796c8c","year":2025},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:7df2d97d35b018ee25a097c4350ba12b7db23ed857a4150638554b75296afa2e","observation_id":"046600f5-6237-43fc-8e21-ce1dc838af4b","resolution":{"observed_at":"2026-05-18T20:22:52.212990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Zero- reference joint low-light enhancement and deblurring via vi- sual autoregressive modeling with vlm-derived modulation","venue":null,"work_id":"3725893b-e142-4a1a-9d11-5f9207fcf867","year":2026},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:22ca298ac561f9070966c929144fa251ff263e181209249e05cb7ecbaaed7765","observation_id":"b24cab0e-0e51-4f7c-9a70-378562dd8537","resolution":{"observed_at":"2026-05-18T20:22:52.150297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"An image is worth 16x16 words: Trans- formers for image recognition at scale","venue":null,"work_id":"9003e6d0-fb60-4cfe-aed0-3bc7e7c26094","year":2021},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:a60df4b3ac5e26434c4f56e32207d2a2254ad04e9aa39b16eb22ae7d667aa1c0","observation_id":"6ae3e6fc-fc51-4c1f-badf-3a15a73a1d0a","resolution":{"observed_at":"2026-05-18T20:22:52.057564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Finlayson, Steven D","venue":null,"work_id":"61653f9f-bf66-43d3-90df-03448d4cae38","year":2002},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:811e79fe19891d2787bffc3fbd8d9251f4ecbeb604ddd4a48f047bc6bc7e6cf3","observation_id":"c5ff7282-a61d-49a8-a354-ed744d32298d","resolution":{"observed_at":"2026-05-18T20:22:52.206239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Finlayson, Steven D","venue":null,"work_id":"48da4943-db8d-478c-a910-7b4ef357bbfb","year":2005},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:96d8d2b8dfe2b7056a8246eab9e5b9377432489b8c27d7b3e756530ecc441174","observation_id":"72a7ae55-7217-4a8a-9709-61ae1eb9c9bd","resolution":{"observed_at":"2026-05-18T20:22:52.188905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Finlayson, Mark S","venue":null,"work_id":"4f991f64-5e53-4375-852d-e0f19551964e","year":2009},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:2b28a516ac3fcf32e43d70379e14d1b83efdacb9d18300cdfe0807abbeb6e149","observation_id":"2799a82c-0ec7-4df4-823c-501c1baec967","resolution":{"observed_at":"2026-05-18T20:22:52.192048Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Shadowformer: Global context helps image shadow re- moval","venue":null,"work_id":"aad7d24d-b017-47c0-ba65-1caefcfd496d","year":2023},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:9652a74c718a012a6ee03bd46e7bfbd8ec5d3520946001e26e6358359ca8655c","observation_id":"0289d1cf-cabf-4cf5-b36c-1465a4416b52","resolution":{"observed_at":"2026-05-18T20:22:52.209727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Shadowd- iffusion: When degradation prior meets diffusion model for shadow removal","venue":null,"work_id":"81ff7f31-8ced-4720-b82a-e0f4f9479a99","year":2023},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:d53e0c965a0550dd57d00291af4789271417bef75113f3480a9f51f6cdda3cac","observation_id":"5df6b03d-cbc5-4c4d-ab59-fdf47764c82e","resolution":{"observed_at":"2026-05-18T20:22:52.124824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Paired regions for shadow detection and removal.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 35(12):2956–2967","venue":null,"work_id":"3ebcc4ac-cbde-4c98-8b04-9f0fb0d93f08","year":2013},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:304a7b8632908207a3a3b1233b68458063db392e32ab00496d37286f96dc2730","observation_id":"c72ba249-dc2a-454b-b963-b715d699cd4d","resolution":{"observed_at":"2026-05-18T20:22:52.137751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Maskshadownet: Toward shadow removal via masked adap- tive instance normalization.IEEE Signal Processing Letters, 28:1699–1703","venue":null,"work_id":"745bedca-9a16-4d1b-a1c5-471496e24731","year":2021},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:8e81c9e54d76dfb299837936c2ab1fa02fc1a5eebd4fcd0bfdc25914e43fcbf7","observation_id":"0027b6f6-e4b2-439a-8a3d-5e358bcd63da","resolution":{"observed_at":"2026-05-18T20:22:52.199532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Coordinate atten- tion for efficient mobile network design","venue":null,"work_id":"4b505b75-44b5-4d56-9587-0e24cc1cffde","year":2021},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:1dc664594fecc6260ad5806a363af76635c55336d4033afe1153a4fe89a79510","observation_id":"d4659962-9df9-4f25-a719-4893d067d5bf","resolution":{"observed_at":"2026-05-18T20:22:52.111532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Revisiting shadow de- tection: A new benchmark dataset for complex world.IEEE Transactions on Image Processing, 30:1925–1938","venue":null,"work_id":"23149569-082a-41c1-8a98-b7501946f407","year":1925},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:31adfb19a5d574194aface1955b533b4c70812ebe2b88098e3d2b4381ddb63b2","observation_id":"1b047123-fba2-4122-9817-56039c2758b8","resolution":{"observed_at":"2026-05-18T20:22:52.074606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2409.02108","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-01T13:55:45.591323Z","title":"Unveiling deep shadows: A survey and benchmark on image and video shadow detection, removal, and generation in the deep learning era","venue":null,"work_id":"4bf3094d-5c38-4778-8fde-a15a6247828e","year":2024},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:b9925578239f1db8ff9b81b1eee9feb699cd76e1b7237596d26a0a35b7b9d746","observation_id":"c90b63fd-8cf3-437f-870f-303596c66b81","resolution":{"observed_at":"2026-05-10T13:55:28.703560Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mgrln-net: Mask-guided resid- ual learning network for joint single-image shadow detection and removal","venue":null,"work_id":"c364c9d6-73e5-4dd2-acbf-192b9e5d501b","year":2022},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:2fc93eff096dc3474bf754a93337e84cee34c32c7fed01d768755ea7d9f30528","observation_id":"b5a3d44d-5d89-425a-a3ae-d0576f6a09b1","resolution":{"observed_at":"2026-05-18T20:22:52.185487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"3bd949e5-21d5-47f2-a6a5-27122263ee27","year":2021},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:db9e375f329c73b186fd0a7e4e1f755570b6def7af538e3e8b315f01eb0b2bcf","observation_id":"dba3b45c-99e8-4798-9a61-8117b2a2b571","resolution":{"observed_at":"2026-05-18T20:22:52.028279Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Kingma and Jimmy Ba","venue":null,"work_id":"8c9d0137-68c5-4d29-8af6-c9bfc190588a","year":2015},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:1425012a31cd1a76d95ff39ad88c73702d051e5b80afd5606d9e26dc7e63beff","observation_id":"a9fba83b-20b8-4c77-b76a-6991f5bddef7","resolution":{"observed_at":"2026-05-18T20:22:52.024693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Shadow removal via shadow image decomposition","venue":null,"work_id":"c6551d66-fa6c-486c-90cb-9c6a74e42104","year":2019},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:b6be27149266329403aaa5c2341e4ff0de85a4e9fa801ac4c896f3709bfddac8","observation_id":"af82df53-ac8f-4ccd-9e1b-98bc1740633e","resolution":{"observed_at":"2026-05-18T20:22:52.109106Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"From shadow segmentation to shadow removal","venue":null,"work_id":"8f86d7bb-9151-4ea6-8200-bbde42228078","year":2020},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:a8311de5e3f23f5d1b6f1aee2b3049cec4e2842c3dd725c83357adef967fe3c0","observation_id":"f5d62eef-3d31-4679-9585-2e8d99c18138","resolution":{"observed_at":"2026-05-18T20:22:52.041730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Swinir: Image restoration using swin transformer","venue":null,"work_id":"aef34a90-c342-48cb-8a3e-e23e39a9141e","year":2021},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:bb31cbb6063ec7ecf4a41e39ca651a1d1e8174d9153bee770e98ba8785abc7d8","observation_id":"14888ef0-f24e-4d82-94f3-9748bfff480f","resolution":{"observed_at":"2026-05-18T20:22:52.066505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Grid- dehazenet: Attention-based multi-scale network for image dehazing","venue":null,"work_id":"d8cf0f9c-6351-4853-bffb-e6af2de93d12","year":2019},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:5ba78ef43812c08799ab246b0a59d3e55e2fea374c4bc62b27b316a92786c830","observation_id":"97347fac-b414-4dfb-b93d-0caf667ca9fd","resolution":{"observed_at":"2026-05-18T20:22:52.241880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Griddehazenet+: An enhanced multi-scale network with intra-task knowledge transfer for single image dehaz- ing.IEEE Transactions on Intelligent Transportation Sys- tems","venue":null,"work_id":"5c388c58-53b0-4192-8147-93d480a887b2","year":2022},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:eab7f5e74415551412fd9aab99f20d3b8bb0f264863ea65d03a9ab680a079aa3","observation_id":"c1108a5b-3076-4a27-9379-b3b7b9a72cc2","resolution":{"observed_at":"2026-05-18T20:22:52.075003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.00341","last_updated":"2024-02-01T05:08:39Z","snapshot_observed_at":"2026-08-13T04:29:33.158193Z","submitted_at":"2024-02-01T05:08:39Z","title":"Recasting Regional Lighting for Shadow Removal","version":1},"cited_work":{"arxiv_id":"2402.00341","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.00341","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"64006f1c-67cd-4758-931b-a0e0a3318c73","year":2024},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"cited_paper":"/paper/2402.00341","citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:528563ce975e31efc8dff5a8e0367862e1b17a9b32367637d9557abc90fe413b","observation_id":"c40c87f7-2011-4e1a-b06c-4b352c0f1fa1","resolution":{"observed_at":"2026-05-10T13:55:28.712323Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows","venue":null,"work_id":"0ad7885a-7a0c-4d94-9f33-32e86e9aec18","year":2021},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:1b8a6d091dcaf7180625d1d91982cf5172e7e799d35285d646aaeecf2efe19a1","observation_id":"5eda86e0-97e7-44ee-8853-062f127f4577","resolution":{"observed_at":"2026-05-18T20:22:52.177464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"From shadow generation to shadow removal","venue":null,"work_id":"e44778b5-3079-44ea-8f07-daead1de5c8a","year":2021},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:2824d95f60003a363e985b758b729b55eb402fa696183838e900da02d1a58b7a","observation_id":"e079955c-cf03-463e-ba5c-4c094b0b1a8a","resolution":{"observed_at":"2026-05-18T20:22:52.230627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A convnet for the 2020s","venue":null,"work_id":"73e1cfa5-4c6b-460c-a08d-970a1d46b7c7","year":2022},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:201d93c75a4cd71b39524d701736365f86e107e308be3e88b09cb641f5789cb8","observation_id":"e8a3ff82-7f42-455f-8c15-40e1f977fc9e","resolution":{"observed_at":"2026-05-18T20:22:52.217856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Hirformer: Dynamic high resolution transformer for large-scale image shadow removal","venue":null,"work_id":"2b999380-3f08-4239-b166-6d259ffd56a7","year":2024},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:27e79303cf5c3596a73ac45e725d6e88c1c8b24861ae61abd66dd1fa47450036","observation_id":"60c15973-355e-4626-a2ea-9c2b7f574758","resolution":{"observed_at":"2026-05-18T20:22:52.061890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"f312a7f8-0659-41ba-9efe-112b20590c49","year":1989},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:d6af96e537fc6b4dd8b7950440147caf99a58c8a8707595651b0fe3b1e15dd47","observation_id":"289bb087-302f-4c3d-a199-acc10c661b82","resolution":{"observed_at":"2026-05-18T20:22:52.181216Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deep multi-scale convolutional neural network for dynamic scene deblurring","venue":null,"work_id":"9c8ca0ed-38fe-4bfe-a871-27d491fd17ec","year":2017},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:bc9e0a86e7d503a218d3598996cf1c2b987924fed71aa9d6d56e736b8b1c170e","observation_id":"8de38f30-86bd-483e-b7b1-2dd2dd3452c7","resolution":{"observed_at":"2026-05-18T20:22:52.053649Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Pytorch: An im- perative style, high-performance deep learning library","venue":null,"work_id":"c0e59ae3-33cc-4b59-b4df-ff54e805c774","year":2019},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:505ce7ce1d660dc6191463a7e72d8e7f5dc8ee449960a6f29d062d03983ae93a","observation_id":"7211e4cf-8272-41b7-883e-1b899641143e","resolution":{"observed_at":"2026-05-18T20:22:52.049722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Ffa-net: Feature fusion attention network for single image dehazing","venue":null,"work_id":"6db2daf4-f554-42c7-a690-e3018d499041","year":2020},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:9025b24ecf243722473556edb1e2af6bfdc36cfd1b5b67a4cfaf63c34d125374","observation_id":"7671c5b2-de79-4a33-87b0-9288a7395fc8","resolution":{"observed_at":"2026-05-18T20:22:52.195565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d7ec9034-7760-4cd0-b864-4455a55e358c","year":2017},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:dbd2b6980fcc50f65e86555ab49158205c4b4c5cbc5b31aadc6c52c6c25d1020","observation_id":"36cca572-1bab-43a7-9db0-99e3d994f349","resolution":{"observed_at":"2026-05-18T20:22:52.224090Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T15:03:56.555820Z","title":"U-net: Convolutional networks for biomedical image segmentation","venue":null,"work_id":"0d6246d6-9e44-4582-b4a7-ac5ecb97940f","year":2015},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:bc599daaa064763c8700f3aac73945800e01a3b3f6710d0707420514f2184319","observation_id":"e2724aea-598b-408d-8762-b4116f65ddf8","resolution":{"observed_at":"2026-05-18T20:22:52.236474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Molina-Bakhos, Danna Xue, Yixiong Yang, Maria Pilligua, Ramon Baldrich, Maria Vanrell, and Javier Vazquez-Corral","venue":null,"work_id":"0525de38-e76a-4561-b66d-a65b427e466e","year":2025},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:fd570f4615f8c189eef48efbc278effa0705f004cdc2a17598b882c9e649a461","observation_id":"6a02ee4c-f0bc-46d7-8488-a5fe14289228","resolution":{"observed_at":"2026-05-18T20:22:52.087930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Vision transformers for single image dehazing.IEEE Transactions on Image Processing","venue":null,"work_id":"bb75efac-b722-4257-a9ab-6a8cc8226535","year":2023},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:8fc604804fc47867aa46004a7a0dde4cfb62541460bbba809ae5159681eaa5cb","observation_id":"3ffd37b8-c1cd-45d4-a22d-8a335582e246","resolution":{"observed_at":"2026-05-18T20:22:52.148065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Wsrd: A novel benchmark for high resolution image shadow removal","venue":null,"work_id":"5875eae8-3378-46a1-b60a-c6d91eec3d84","year":2023},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:08e9cf405c91198d4d7b707e065fcf85e3aedd26658ec6d19b4799b77afc789b","observation_id":"6db85511-0bd0-4142-8b18-f52eb44adc14","resolution":{"observed_at":"2026-05-18T20:22:52.116236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Ntire 2025 ambient lighting normalization challenge report","venue":null,"work_id":"9b0d0953-ebe9-4730-afc1-4438218bfdd7","year":2025},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:2dd1b6d6355bd419ac5f58504d00682531abdcebef6801bc297c4bb8b1ca0ff3","observation_id":"f1a0e868-da57-4be2-b8ae-88cd60b207db","resolution":{"observed_at":"2026-05-18T20:22:52.107260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Ntire 2026 ambient lighting normaliza- tion challenge report","venue":null,"work_id":"65fdb4be-c850-4eed-871d-85fa968fd5f5","year":2026},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:90b052e4abc14b46f02af1f482cb3eaf3c553f432ed3944e58833cabaab6e9c3","observation_id":"ee1aed96-53a2-456a-a6f2-a20e9e8db70b","resolution":{"observed_at":"2026-05-18T20:22:52.099590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18730","last_updated":"2024-03-27T16:20:55Z","snapshot_observed_at":"2026-08-13T03:56:01.333275Z","submitted_at":"2024-03-27T16:20:55Z","title":"Towards Image Ambient Lighting Normalization","version":1},"cited_work":{"arxiv_id":"2403.18730","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.18730","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Towards image ambient lighting normalization","venue":null,"work_id":"e66c5050-e3cb-4df4-802b-01b6118e3fe0","year":2024},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"cited_paper":"/paper/2403.18730","citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:31796bdae0760ba2a9a27e1dc8af96bf0057e1aa909fd5b693db3f6b19efd047","observation_id":"97b52f6d-b794-44ac-95d1-7259069f6fd6","resolution":{"observed_at":"2026-05-10T13:55:28.699174Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Yago Vicente and Dimitris Samaras","venue":null,"work_id":"f0787698-14ae-41fc-ad8d-1a010b41c5a6","year":2014},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:4e7b55f49ca7e111e8b0e6c86d61b4af4b05f288aa65b33882b239f6ce9680dc","observation_id":"5b63040b-e2a6-40e5-9b3b-46e1a2959678","resolution":{"observed_at":"2026-05-18T20:22:52.103119Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Stacked conditional generative adversarial networks for jointly learning shadow detection and shadow removal","venue":null,"work_id":"a2496aec-e1b6-4726-a95a-1a68af095122","year":2018},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:344c6a1e91ea875940859fc2054995319e900e231112c04205d3506be51852cc","observation_id":"a54feca1-4cb8-4eab-9ded-75e3287c9188","resolution":{"observed_at":"2026-05-18T20:22:52.143537Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.09000","last_updated":"2025-08-12T15:11:18Z","snapshot_observed_at":"2026-08-15T17:28:44.073026Z","submitted_at":"2025-08-12T15:11:18Z","title":"UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale","version":1},"cited_work":{"arxiv_id":"2508.09000","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.09000","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Uniconvnet: Expanding effec- tive receptive field while maintaining asymptotically gaus- sian distribution for convnets of any scale","venue":null,"work_id":"bf941373-8523-49c2-87f5-983bb86185d1","year":2025},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"cited_paper":"/paper/2508.09000","citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:d91bc4859bc28235a9cec5efc066e521ba9753a58ef1f54d3dbeb89e314c866d","observation_id":"3b446b17-debb-4fac-b0a7-39ec0e09a240","resolution":{"observed_at":"2026-05-10T13:55:28.708431Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Bovik, Hamid R","venue":null,"work_id":"33e571b0-1a55-434e-86b6-bdd50ae1bb8c","year":2004},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:c816269c27b552088cbb374789972abe9793b045a6cbd9795ae75ad43ce66e24","observation_id":"8a853ec8-f42f-4c17-94b6-89d3c825373a","resolution":{"observed_at":"2026-05-18T20:22:52.152370Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Homoformer: Homogenized transformer for image shadow removal","venue":null,"work_id":"69c7c7f9-b944-4c24-88ef-c401a49d4509","year":2024},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:2ff6860aa1fc55766c559218c0917b639a3f85c811a20048178d0923dd13f443","observation_id":"6bf19439-df0b-4f39-b274-79e0e7a8d347","resolution":{"observed_at":"2026-05-18T20:22:52.135144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Shadow-aware dynamic convolution for shadow removal.Pattern Recognition","venue":null,"work_id":"eda9cf8e-b362-4f8b-800f-ca6f18aba8b9","year":2024},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:022d160d3952dabb463b09958f7a5281c8f951714a9c2623be42233f3f8503d1","observation_id":"4ea6f0d6-ffdf-4a4e-8425-cb70fc43858d","resolution":{"observed_at":"2026-05-18T20:22:52.167429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Towards efficient and scale-robust ultra- high-definition image demoireing","venue":null,"work_id":"9e3a8ed8-2e9f-4a2e-8c6d-8945a05d2560","year":2022},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:9585fafc0ae017843a2df7456ec83eb5a74fea6e0d732e3b2ccd165cc5dccc71","observation_id":"935082f7-f19f-450f-8669-643e7422908c","resolution":{"observed_at":"2026-05-18T20:22:52.173224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Restormer: Efficient transformer for high-resolution image restoration","venue":null,"work_id":"9b67abb1-1e79-4cac-a653-8224137b27fc","year":2022},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:2b7bd8dc99585a06eacd2a0adce1d0752f2d6ea88e2a3937b3b328f0c12db753","observation_id":"bf2935e1-8698-4727-a494-0ec11b68e7d4","resolution":{"observed_at":"2026-05-18T20:22:52.139183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Shadow re- mover: Image shadow removal based on illumination recov- ering optimization.IEEE Transactions on Image Processing, 24(11):4623–4636","venue":null,"work_id":"eab9c272-8cb0-4276-a3e3-34822c731b76","year":2015},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:3e57b645fb50c61da28dc60a9c100d4a66e1dfb4ccd524d823b863bf3c807da6","observation_id":"3e3eaf89-375f-432c-9305-fd0748e8dceb","resolution":{"observed_at":"2026-05-18T20:22:52.131032Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Efros, Eli Shecht- man, and Oliver Wang","venue":null,"work_id":"cd9160d3-fe9a-482e-9e6f-cbd336aebb8d","year":2018},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:536f71df818cb6f0b80fdd2ac53bb746bd1c902326d77a58c3c7851a75bd204a","observation_id":"952599bb-318e-4cc7-af32-3b3dc6507824","resolution":{"observed_at":"2026-05-18T20:22:52.165526Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Breaking through the haze: An advanced non-homogeneous dehazing method based on fast fourier convolution and convnext","venue":null,"work_id":"16f03ebf-fcb5-459f-8bb1-d90b5c41dad0","year":2023},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:de9b6e7c1816f231265f8530edca6ab81596e0f439d219f0118c2c7b5e5d94f3","observation_id":"0458f1de-453b-4df3-baf9-63da00697190","resolution":{"observed_at":"2026-05-18T20:22:52.164151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Glare: Low light image enhancement via generative latent feature based codebook retrieval","venue":null,"work_id":"a8f03616-6c7e-42b7-923f-b47743bee222","year":2024},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:07f77a263d226ed7317e6a6e083579857934821168e161f5be7eb262f4ab105e","observation_id":"0b7d379d-d971-4876-b6bf-e09cc2d4b345","resolution":{"observed_at":"2026-05-18T20:22:52.157744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Lita-gs: Illumination- agnostic novel view synthesis via reference-free 3d gaussian splatting and physical priors","venue":null,"work_id":"855447fc-7f22-444e-a972-74fca4fca9be","year":2025},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:e50251adc1438f2aedb38fff6fd19a049599ffc61ea6a04833c4da9a49af2360","observation_id":"3d7a392b-3f57-479d-a002-e3fc62bdbf93","resolution":{"observed_at":"2026-05-18T20:22:52.168972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Low-light image enhancement via generative perceptual priors","venue":null,"work_id":"88f6f20a-825b-4f1c-b6e4-de3ccb7919ea","year":2025},"citing_paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-10T13:54:17.552706Z"},"links":{"citing_paper":"/paper/2604.13383"},"observation_digest":"sha256:d73204cc341309d4a2dc2bfd5a94954dacd30a55fefb33260c2200084beac514","observation_id":"6994752d-4582-4a1b-b059-37949f1a78bd","resolution":{"observed_at":"2026-05-18T20:22:52.161400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.13383","last_updated":"2026-04-15T01:13:18Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T18:21:23.870817Z","submitted_at":"2026-04-15T01:13:18Z","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization"},"reference_resolution":{"displayed":57,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":4,"verified_fuzzy":50},"total_outbound_references":57},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2604.13383."}