{"as_of":"2026-08-17T12:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0a1aa237e3e581def1e991c92255dac855b2092a40830cf3ad8fc5d4ff0de1d3","coverage":[{"denominator":66,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":66,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T16:59:50.807922Z","state":"measured"},{"denominator":66,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":66,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2507.12135/citation-record","integrity":"/paper/2507.12135/integrity","json":"/paper/2507.12135/citation-record.json","paper":"/paper/2507.12135"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:00:02.506835Z","title":"Learning photographic global tonal adjustment with a database of input/output image pairs","venue":null,"work_id":"306820d2-f550-4a6b-be08-d8eae0a3e7b7","year":2011},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:43.796860Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:1fb0c493d1f6db95061f5ea68bd7f9aaeea7c9821500df2de447b1ef29e3af28","observation_id":"152e5cf5-c590-4cec-b910-fd59e5b59cf6","resolution":{"observed_at":"2026-08-06T17:00:02.549581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:00:02.455115Z","title":"Learning to see in the dark","venue":null,"work_id":"cb359583-247a-4f57-8a25-5113c4103770","year":2018},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:43.906618Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:df27176c11192de883bab616511e407eb7c285f543f069239be18711889e331c","observation_id":"e5c90728-4772-4f3d-a749-a160f2d30228","resolution":{"observed_at":"2026-08-06T17:00:02.476814Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:00:02.408404Z","title":"Real-time edge-aware image processing with the bilateral grid","venue":null,"work_id":"f6fb8b85-4b31-4f96-8573-189b8d43e6b3","year":2007},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:44.016952Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:6776e060c01bde3e9e07134c3005d02811d051ff404c994a84c495c0e2204406","observation_id":"8fd0c3fd-5ae0-4b41-b7db-08de7441442c","resolution":{"observed_at":"2026-08-06T17:00:02.429012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:00:02.385960Z","title":"Bilateral guided upsampling","venue":null,"work_id":"8f1f0271-a00c-4766-a61e-b9b42bbcb85a","year":2016},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:44.137800Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:9e65a87389b07ce07061d2c50af7f182b8861839cb63ec8ba8a81c9141407a9b","observation_id":"a8f18408-fe82-4eef-b7bd-98bdc2b53e27","resolution":{"observed_at":"2026-08-06T17:00:02.389070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:00:02.378031Z","title":"Simple baselines for image restoration","venue":null,"work_id":"533a51b0-fbb7-4d56-b8f2-9c56b58c89fa","year":2022},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:44.268458Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:93a2fd0d7dda1f0e1a5147122b3d1d01cc5b7298fa791ce5333fded9cfbf27fb","observation_id":"80cc3cbb-0cea-4aad-8073-0d329542fdd4","resolution":{"observed_at":"2026-08-06T17:00:02.380682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:00:02.355796Z","title":"Cyclemlp: A mlp-like architecture for dense visual predictions","venue":null,"work_id":"ba28313a-34df-4852-bd9b-0a0f37f586aa","year":null},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:44.384069Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:58c8b6053991535822b27a9fa738bfdfe7e58f9b7fa7def3ecfdc4e94b3c5ecf","observation_id":"cb36b6cb-7569-431a-b4fb-0783824698e7","resolution":{"observed_at":"2026-08-06T17:00:02.372313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:00:02.164208Z","title":"Deep photo enhancer: Unpaired learning for im- age enhancement from photographs with gans","venue":null,"work_id":"c572353e-0d41-493e-96ad-2df7e64308d2","year":2018},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:44.477832Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:5acaeca63fbec4462eb9f116d44dde4ddc44f716f718740d94ea3760f8053d0b","observation_id":"ba4aa830-4a22-4b45-b790-495a388fa1ce","resolution":{"observed_at":"2026-08-06T17:00:02.241313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.01883","last_updated":"2022-03-30T13:36:31Z","snapshot_observed_at":"2026-08-16T18:26:57.047629Z","submitted_at":"2021-05-05T06:17:40Z","title":"RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.01883","snapshot_observed_at":"2026-08-06T16:59:44.601196Z","title":"Repmlp: Re- parameterizing convolutions into fully-connected layers for image recognition","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:44.601196Z"},"links":{"cited_paper":"/paper/2105.01883","citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:e4acfa88e7caeed78adb7710c98b0199e903ea3b2df6f7624f8a8e22ca695e4f","observation_id":"81bc1655-91d4-4ad5-af75-2c56aa294a63","resolution":{"observed_at":"2026-08-06T16:59:44.601196Z","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":"2026-08-06T17:00:01.948695Z","title":"Deep bilateral learning for real- time image enhancement","venue":null,"work_id":"a904c1e1-0788-4880-a985-fa954a930a0b","year":2017},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:44.767989Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:d8928989c895b099d4bb8d9bb0f80ca418aaf7175ab93078cd1c669a69dba357","observation_id":"b8d851d7-9d94-4041-bb36-5b1816e98250","resolution":{"observed_at":"2026-08-06T17:00:02.067892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:00:01.757883Z","title":"Zero-reference deep curve estimation for low-light image enhancement","venue":null,"work_id":"b94a25e4-ccb2-4237-a389-f53bd68aba15","year":2020},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:44.886215Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:f04c2cad7d4aa7bf3c951fd121ac520992d1486d4d28652250a2b7e33cba3e71","observation_id":"0aa820b3-19b7-4d41-a335-5bf3bb35ea8b","resolution":{"observed_at":"2026-08-06T17:00:01.823500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:00:01.544312Z","title":"Hire-mlp: Vi- sion mlp via hierarchical rearrangement","venue":null,"work_id":"41a67c78-8890-430e-9311-fda51b9c04e4","year":2022},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:44.992757Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:30243d7f8599c897c98e648d67b0b2a22b1c7b08b02522eb13dab54e5c2b413d","observation_id":"5c3ce4bf-dffb-430f-9778-a5d354e5e18c","resolution":{"observed_at":"2026-08-06T17:00:01.654591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:00:01.327077Z","title":"An fpga-based fully pipelined bilateral grid for real-time image denoising","venue":null,"work_id":"d7900f48-983e-420b-a33c-be8767162b12","year":2021},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:45.114604Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:833ed6e8e02799d7c6c3fd2b1277687440c0bc43fe3ada511bf576a04d69835f","observation_id":"85ab89b4-e31b-4e84-92a7-e2d9a0b205a8","resolution":{"observed_at":"2026-08-06T17:00:01.428745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:00:01.069461Z","title":"Con- ditional sequential modulation for efficient global image re- touching","venue":null,"work_id":"efe0b069-d078-4fd2-a889-e46a23f49a6d","year":2020},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:45.232486Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:2cfebdf1a258db17ed7ea86587b3595a4694871932336502a01c1833b5ceca5f","observation_id":"579d373f-c1b1-4133-bd30-bbebe56d4906","resolution":{"observed_at":"2026-08-06T17:00:01.178782Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:00:00.867645Z","title":"Deep residual learning for image recognition","venue":null,"work_id":"33c7b3e8-3b7f-4058-88be-8bc02ee1272a","year":2016},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:45.356775Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:90b4f24762646481265c3a1157971fb81e36d81d42a78114069d8fcf0286bc44","observation_id":"69285d05-90bb-4a86-b6d0-0af399f269fb","resolution":{"observed_at":"2026-08-06T17:00:00.961564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:00:00.657385Z","title":"Vision permutator: A per- mutable mlp-like architecture for visual recognition","venue":null,"work_id":"83416177-5130-408f-ad39-57747dd72bfb","year":2022},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:45.465031Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:71a04374125d99be9513e5af7d32a22904617b787826555d3a226eadf7116b97","observation_id":"05169d3e-2b23-4776-b8d7-935a0c3723bd","resolution":{"observed_at":"2026-08-06T17:00:00.763949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:00:00.401574Z","title":"Exposure normalization and compensation for multiple-exposure correction","venue":null,"work_id":"ffcf2865-60f5-40bc-884a-35ff08129a93","year":2022},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:45.600684Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:6782809bbbfaf5b319120c745ed35fa27b880e60de6b86ac809b75346122eb5c","observation_id":"117ed21f-e705-4f42-a99d-977729420faa","resolution":{"observed_at":"2026-08-06T17:00:00.546867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:00:00.210678Z","title":"Deep fourier-based exposure correction network with spatial- frequency interaction","venue":null,"work_id":"c109608c-f518-4a5f-a9f9-7e28ffeb914d","year":2022},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:45.781426Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:7bac833ca1a016dbc694501c99f3d9d7726c7376cd7f49b573ace9f61b8d61a6","observation_id":"9c39c65f-8914-4358-9e50-bdd750df284d","resolution":{"observed_at":"2026-08-06T17:00:00.283088Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:59.969881Z","title":"Context-based automatic local image enhancement","venue":null,"work_id":"b80db444-659d-4578-8b74-2ce39deee098","year":2012},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:45.925357Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:de171936abbca9d686ceffebd6bdfff12d5a54b5a4fa7b27598de3b9ee84d25a","observation_id":"1d33ec3f-b452-42ee-8a38-fc86688a9513","resolution":{"observed_at":"2026-08-06T17:00:00.109281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:59.722308Z","title":"Dslr-quality photos on mobile devices with deep convolutional networks","venue":null,"work_id":"4f2e96ee-2b05-4269-a4ab-0d1428a907a4","year":2017},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:46.050083Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:c14da207c5dd3b3c87ab9454bd915c307a4b75b8cfb5f63ffb818c6b3f108bd7","observation_id":"85e0ca64-02a7-43e6-a720-2ba704a25eb3","resolution":{"observed_at":"2026-08-06T16:59:59.817615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:59.569668Z","title":"Enlightengan: Deep light enhancement without paired supervision","venue":null,"work_id":"ca9ce14f-af81-4cf0-9922-b38b8fec5510","year":2021},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:46.208212Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:20678d484c8516cfa4a13245fca3e57f079d0357b4f32362a02fe5878938fe2e","observation_id":"7375dddf-b258-4563-86eb-fb0b2600ab21","resolution":{"observed_at":"2026-08-06T16:59:59.630753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:59.416031Z","title":"Per- sonalization of image enhancement","venue":null,"work_id":"0bbf2aee-c4ed-4f25-941a-4c87de2e677f","year":2010},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:46.306686Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:55af14acbe35b0e25f6d348a75ea07452e3f716d46e7f781c2adc15e742ab2bb","observation_id":"10938d22-c314-4161-86fe-32c15fcaa36b","resolution":{"observed_at":"2026-08-06T16:59:59.493971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:59.267153Z","title":"Global and local enhancement networks for paired and unpaired im- age enhancement","venue":null,"work_id":"4fbb65be-3689-4545-abfb-abd44fcf7c7c","year":2020},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:46.423704Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:7107305f0d614ce9307897ab0a3fc4aeb57e6f661fd5e8d0fdde6c10a74e0ffd","observation_id":"cac95faf-ee9d-4f4b-a60e-3516f45c4d71","resolution":{"observed_at":"2026-08-06T16:59:59.342301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:59.125612Z","title":"Jsi-gan: Gan- based joint super-resolution and inverse tone-mapping with pixel-wise task-specific filters for uhd hdr video","venue":null,"work_id":"cea6f2b5-4a56-4476-8cd7-b0a89926a9b7","year":2020},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:46.476219Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:81016afe3aa45fbb94fd0d52a86312b589c8f36f1122f408910b9d4ff9d25bff","observation_id":"6cb9cadb-eead-4584-8861-66af5038b186","resolution":{"observed_at":"2026-08-06T16:59:59.164971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:58.988186Z","title":"Image-adaptive 3d lookup tables for real-time image enhancement with bilateral grids","venue":null,"work_id":"c4a0916d-ba33-4608-ba71-e4b377769b52","year":2024},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:46.593057Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:1ea710d2eb5ed2220f7a0ca448bfc0c8b29cb7284a415944fb3877faec1e5b7d","observation_id":"8ff451dc-bbf9-4997-8749-f975e3bf1c5f","resolution":{"observed_at":"2026-08-06T16:59:59.051387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-14T18:51:16.666127Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-06T16:59:46.683390Z","title":"Adam: A method for stochastic optimization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:46.683390Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:4e71d39d9e9272eb62404728d78bb3846cc1fc4a63839c8f7a738f80daeb4d4a","observation_id":"5e0e98cd-531e-481d-b68e-dac67e7a4a8e","resolution":{"observed_at":"2026-08-06T16:59:46.683390Z","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":"2026-08-06T16:59:58.839067Z","title":"Automatic content-aware color and tone stylization","venue":null,"work_id":"2e200076-cee2-4938-98d5-e2b211144934","year":null},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:46.736063Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:cdf6b8e5556d70d685da715a6ab42789888547727f28ffdc580fcd3e4fa7d1ed","observation_id":"48938394-6308-4d9f-9406-e2bf3ca75f9d","resolution":{"observed_at":"2026-08-06T16:59:58.913222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.13412","last_updated":"2020-10-26T08:16:25Z","snapshot_observed_at":"2026-08-16T19:10:39.882374Z","submitted_at":"2020-10-26T08:16:25Z","title":"Flexible Piecewise Curves Estimation for Photo Enhancement","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.13412","snapshot_observed_at":"2026-08-06T16:59:46.814878Z","title":"Flexible piecewise curves estimation for photo enhancement","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:46.814878Z"},"links":{"cited_paper":"/paper/2010.13412","citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:20d8894f04d70adb6c6078c9ece403d775c21af04fffa6cb615a6a22a2a9527d","observation_id":"c84a78fe-097e-47fa-a8ed-b0a415b69140","resolution":{"observed_at":"2026-08-06T16:59:46.814878Z","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":"2026-08-06T16:59:58.711321Z","title":"Real-time expo- sure correction via collaborative transformations and adap- tive sampling","venue":null,"work_id":"5b9f5e29-e959-4790-9ebe-f409181f6174","year":2024},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:46.937305Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:0db470cccaf2f01774fc81ec20f72865dba497890a8f908e8b2bf6c037835e58","observation_id":"0b257488-8a43-4164-9f60-b8d7baf20d70","resolution":{"observed_at":"2026-08-06T16:59:58.766753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:58.540349Z","title":"Ppr10k: A large-scale portrait photo retouch- ing dataset with human-region mask and group-level consis- tency","venue":null,"work_id":"8436df45-724e-4beb-ab6e-543266e0f2a2","year":2021},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:47.044454Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:10072ac16b4de47c2176b02dad0ab403808167873c5f8a93d608662263e9160c","observation_id":"527772ce-16c7-4c8c-955b-60631c8d3acc","resolution":{"observed_at":"2026-08-06T16:59:58.618939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:58.347260Z","title":"Iterative prompt learning for unsupervised backlit image enhancement","venue":null,"work_id":"1f29ab85-3a0f-4924-a50c-d88cf47b4466","year":2023},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:47.118639Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:971f577a55b3745e420b540874dbf21a03eb5da32c447dce382a276742f96d50","observation_id":"a77398ff-edb5-47eb-ba37-b56660f01bb4","resolution":{"observed_at":"2026-08-06T16:59:58.449662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:56.907244Z","title":"4d lut: learnable context-aware 4d lookup table for image enhancement","venue":null,"work_id":"c7fc3567-0021-4820-b2b4-a48e8a4baf61","year":2023},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:47.213195Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:4372181a5398b2a9cd83021c99138b6708905a7f04dc71d0f28d8d46ec2278a5","observation_id":"68bbe48f-d371-446f-8e74-dbbb4829a79b","resolution":{"observed_at":"2026-08-06T16:59:58.219347Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:56.017006Z","title":"Pay attention to mlps","venue":null,"work_id":"79403786-6a2e-42e3-bc89-6893adbceb16","year":2021},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:47.302147Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:bbad197001043ceb131040caab895e0939cdf986e3c0b120830f666d693208ab","observation_id":"0ec81c5b-14a0-4e41-8f97-b25c9a116320","resolution":{"observed_at":"2026-08-06T16:59:56.490575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:55.713631Z","title":"Pixel-learnable 3dlut with saturation-aware compensation for image enhancement","venue":null,"work_id":"deb84f16-09a6-4526-b6ca-58702a4e073b","year":2024},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:47.391958Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:cfa23693319b009685a286bf0f01da96730b126ca6a5b94ac357dea4da41323b","observation_id":"0060ec8c-eeb8-4d38-a4f7-e52ba7236310","resolution":{"observed_at":"2026-08-06T16:59:55.819451Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:55.360701Z","title":"Autostyle: Automatic style transfer from im- age collections to users’ images","venue":null,"work_id":"4af0de9d-5b05-43bc-a70f-a57cce9612a1","year":2014},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:47.495603Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:f4a02dc1049edbfec14b501e876d635d5bc2c05f9774009633a9f83207d994e8","observation_id":"7c3711e7-60b9-434d-992d-7e13a3ed04fa","resolution":{"observed_at":"2026-08-06T16:59:55.590445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:55.086768Z","title":"Deeplpf: Deep local para- metric filters for image enhancement","venue":null,"work_id":"a4180588-cd7f-42c3-9c80-6032e69d326b","year":2020},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:47.641050Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:d78057b0709ea7288c4da86572c2553547232f596fdcedfaa6160bfb12efef1e","observation_id":"20170d38-c7d0-4daa-b983-f6be04c3e191","resolution":{"observed_at":"2026-08-06T16:59:55.168756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:54.937901Z","title":"Curl: Neural curve layers for global image enhancement","venue":null,"work_id":"cda59cbe-1147-4d1a-a344-8d7c26cfc4fa","year":2020},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:47.827402Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:d6f4c8da6efee5927c8dd19cce6f97b606dc1ef8f84fd52c70dfa9cb0cc5e048","observation_id":"a9fe9933-deb0-4e70-acb1-90aff9ffea86","resolution":{"observed_at":"2026-08-06T16:59:55.011371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:54.791232Z","title":"Distort-and-recover: Color enhancement using deep reinforcement learning","venue":null,"work_id":"fe09b204-f0d6-4941-a849-1b021da2d244","year":2018},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:47.995975Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:21d77bc4d416f5630c1d469f31b69b2d871efc0bd242e0f62a0a23c92bf222bc","observation_id":"7ec65a3b-a74b-4474-9390-3ae6af1df9b0","resolution":{"observed_at":"2026-08-06T16:59:54.855466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:54.643153Z","title":"Color transfer between images","venue":null,"work_id":"43eb558f-2dab-42b8-8606-694341168d3d","year":2001},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:48.112544Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:4d53759c66edc5eb485916dcb41d15a114a098cba0ec09e7c19bc9d87b73c024","observation_id":"dfdd8ca5-8c8d-4b2a-a372-3aa7764da7ba","resolution":{"observed_at":"2026-08-06T16:59:54.718869Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:54.442793Z","title":"Improved implicit neural representation with fourier reparameterized training","venue":null,"work_id":"767439b8-c8db-4326-b745-81378379b4c9","year":2024},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:48.246089Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:83a6250a5062f52c2897916f0951063f8f5dad0f66c874fbe898e3ac24d5f357","observation_id":"195b34bb-5380-4962-8f22-77a372197718","resolution":{"observed_at":"2026-08-06T16:59:54.536599Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-08-14T23:20:42.336514Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-08-06T16:59:48.370634Z","title":"Very deep convo- lutional networks for large-scale image recognition","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:48.370634Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:0614fd50c7bd8bac89edcc2fda31e6dc62cd0c78aabea7672bec2ab5839e0dc4","observation_id":"25aba397-f2cc-4e83-9b6e-cf3fc7a653dc","resolution":{"observed_at":"2026-08-06T16:59:48.370634Z","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":"2026-08-06T16:59:54.246667Z","title":"Starenhancer: Learning real-time and style-aware image enhancement","venue":null,"work_id":"0b01433c-5a49-4d08-94fd-768d6e4e219b","year":2021},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:48.507839Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:6530edcfb8bfc1e9a8fc6c9c9bfb39bcd888258a049e6f648027dacfd090366d","observation_id":"7e123302-ea25-4985-9f27-e68c097db961","resolution":{"observed_at":"2026-08-06T16:59:54.353704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:54.120195Z","title":"Mlp-mixer: An all-mlp architecture for vision","venue":null,"work_id":"50bffbb7-3080-48db-8498-494ca2ff0785","year":null},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:48.629991Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:e1836c338d0b1cf4172343896533d2a5bbdb5a6728c6ffea7483f34430058245","observation_id":"653464bb-3517-452d-a1b8-bf4801cd09c0","resolution":{"observed_at":"2026-08-06T16:59:54.167697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:53.986841Z","title":"Resmlp: Feedforward networks for image classification with data-efficient training","venue":null,"work_id":"492ecd43-ad6f-44d6-8590-3c642ec2bbd0","year":2022},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:48.751274Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:d8329515f7596c205b8964962e34b5eec4ea5e351844ae4773d76ff06b32e49b","observation_id":"88024e29-24d6-4c49-b008-4501e6e4ee3d","resolution":{"observed_at":"2026-08-06T16:59:54.059433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:53.817936Z","title":"Maxim: Multi-axis mlp for image processing","venue":null,"work_id":"702b5799-4d6a-41b3-9a0a-3b8647e72173","year":2022},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:48.862818Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:5e4e48a2c6971aa8b6e5ada64cd8c30ebc8ec56fb95f4fbe63ef264bf3b0bc5d","observation_id":"b5516c7e-d4b6-4888-93f3-0ef658321a66","resolution":{"observed_at":"2026-08-06T16:59:53.900142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:53.673396Z","title":"Lgabl: Uhd multi-exposure image fusion via local and global aware bilateral learning","venue":null,"work_id":"2ec40703-c714-4020-82b8-f6c4f5396d35","year":null},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:48.921227Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:5d13cf7c3e4357c41df44ea7a1e9e7064e64f6ce409be7676431d77c20d5fd06","observation_id":"16c2f5f0-2268-43ee-881d-dbd07272471f","resolution":{"observed_at":"2026-08-06T16:59:53.742085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:53.529415Z","title":"Local color distributions prior for image enhancement","venue":null,"work_id":"c4cc9f77-cd32-4745-973b-28ff4b096a02","year":2022},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:49.066787Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:ddb0e1ad37cb6598817306ce15ff0c299014692dc6770267879faea1dfbd5227","observation_id":"1154c245-7c69-44a2-a03c-baf0175ea9d9","resolution":{"observed_at":"2026-08-06T16:59:53.598700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:53.338120Z","title":"Underexposed photo enhance- ment using deep illumination estimation","venue":null,"work_id":"acade986-0bca-493e-a8c2-576c3df3f9d0","year":2019},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:49.216211Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:0767d8633b4522528db122ff464fad8fb2a29d732187e6915d895fa10ad5e655","observation_id":"981fa9ec-d3e9-4d46-a1d5-2d8f2ecdd8c0","resolution":{"observed_at":"2026-08-06T16:59:53.431557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:53.172586Z","title":"Real-time image en- hancer via learnable spatial-aware 3d lookup tables","venue":null,"work_id":"129cac43-dfe8-4d5c-80cc-e4a5be0e13bc","year":2021},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:49.314747Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:2c11e5b1ac8b6ba9abeebf2bbc93464992a250a395a94afe2ef8b434f8800eea","observation_id":"8f0c47e7-9cdc-41f0-b1c9-5bf317f85267","resolution":{"observed_at":"2026-08-06T16:59:53.237887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:49.409391Z","title":"Image quality assessment: from error visibility to structural similarity","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:49.409391Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:7ef38df66c60105aa6c465e6f09f37905c0e137e2d902cf20916d84a198657e8","observation_id":"4762d7e3-0d83-4686-9cf3-2674ed8fea95","resolution":{"observed_at":"2026-08-06T16:59:49.409391Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1808.04560","last_updated":"2018-08-14T07:20:55Z","snapshot_observed_at":"2026-08-14T18:41:28.445359Z","submitted_at":"2018-08-14T07:20:55Z","title":"Deep Retinex Decomposition for Low-Light Enhancement","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1808.04560","snapshot_observed_at":"2026-08-06T16:59:49.509712Z","title":"Deep retinex decomposition for low-light enhancement","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:49.509712Z"},"links":{"cited_paper":"/paper/1808.04560","citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:c39f3dc485fd1bd18d1782c9355c881aae61f2779ab972304ca1d945f53bfb8b","observation_id":"ada80064-940a-47e4-9c42-4547dca609c6","resolution":{"observed_at":"2026-08-06T16:59:49.509712Z","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":"2026-08-06T16:59:53.043402Z","title":"Uretinex-net: Retinex-based deep unfolding network for low-light image enhancement","venue":null,"work_id":"f273be42-82c0-4a46-875c-7edb18da6d60","year":2022},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:49.609189Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:104a565165a7b96361ef8f0416e9c2de6e4bdd3289685a2e3b659f3b520518f7","observation_id":"fd238261-6236-487f-a309-a312270eb762","resolution":{"observed_at":"2026-08-06T16:59:53.094090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:52.915619Z","title":"Semi-supervised learning for low-light image enhancement by pseudo low-light image","venue":null,"work_id":"e246b571-5547-4735-94a5-b959317918a8","year":2023},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:49.707824Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:0b41e46dc5aa214ce5f9eaab899775df6523a36de9092718dc61f56baee2090b","observation_id":"b8e219b4-adc5-4f4b-b514-b6549c98b01f","resolution":{"observed_at":"2026-08-06T16:59:52.980057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:52.748357Z","title":"Bilateral grid learning for stereo matching networks","venue":null,"work_id":"b7f76740-513f-468e-b00a-e7107ee16f23","year":2021},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:49.803273Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:ab4556c1d6157301b19cf910e58bb518987cbb26084b76d9745423f6287da5bd","observation_id":"ba2888a5-eebb-4e09-a1a7-a7d408433377","resolution":{"observed_at":"2026-08-06T16:59:52.820792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:52.576840Z","title":"Deep bilateral learning for stereo image super-resolution","venue":null,"work_id":"958454f3-439f-414e-a2ad-23b7faf7c445","year":2021},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:49.874755Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:9a1e87292530222453d343c233148cd16b22280eedf9e841e7f55128c4ea5017","observation_id":"1ef0411b-264f-479c-921e-0ceec5764141","resolution":{"observed_at":"2026-08-06T16:59:52.641371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:52.400988Z","title":"Automatic photo adjustment using deep neu- ral networks","venue":null,"work_id":"7c76e6d3-4af6-47ed-96e5-9e80c4f58596","year":2016},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:49.974555Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:3c70c33aa7c19d3542295a5aedc3adad50e15f033af6125fcf6f0e4437f23458","observation_id":"8ab5e65c-1be5-48b9-8d1b-a37455d7c928","resolution":{"observed_at":"2026-08-06T16:59:52.463308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:52.279071Z","title":"Adaint: Learning adaptive intervals for 3d lookup tables on real-time image enhancement","venue":null,"work_id":"e4033493-3040-4b7f-9589-f4b90e1e5250","year":2022},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:50.075325Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:8e4334b787a5dd7c121b38d6148dfd6aa0df79485a9247d09427b87189b19e8a","observation_id":"8f6c187f-01d3-44e7-a15f-60e12bf348b3","resolution":{"observed_at":"2026-08-06T16:59:52.344645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:52.085372Z","title":"Seplut: Separable image-adaptive lookup tables for real-time image enhancement","venue":null,"work_id":"f52ac424-eb79-40f9-a0ea-9d9b591530a9","year":2022},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:50.125629Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:8595b1adcc3479492fb9cc298e01a8ca5ce1001ad5c3bcb14bf0fead19a9d7a6","observation_id":"381db482-8d46-4415-a0a8-9a54cec87462","resolution":{"observed_at":"2026-08-06T16:59:52.181576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:51.910979Z","title":"Learning image-adaptive 3d lookup tables for high perfor- mance photo enhancement in real-time","venue":null,"work_id":"97bb3c5b-d025-4670-b4b6-a870356cdbb1","year":2020},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:50.228772Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:c9e2b1e3c080fb0060034455642b9ad99cb25cdfeef27053054772a80067af97","observation_id":"16b10e0e-01c5-4a51-883c-a23df31db68d","resolution":{"observed_at":"2026-08-06T16:59:51.992536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:50.297303Z","title":"Clut-net: Learning adaptively compressed representations of 3dluts for lightweight image enhancement","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:50.297303Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:171277301cf5035b7ca5922a4bb63064f914bfdb086f1a76c9c81d80fb12309e","observation_id":"17db102d-989c-4a87-b6d5-a9e8b122180f","resolution":{"observed_at":"2026-08-06T16:59:50.297303Z","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":"2026-08-06T16:59:51.705401Z","title":"Lookup table meets lo- cal laplacian filter: pyramid reconstruction network for tone mapping","venue":null,"work_id":"bb1813ea-bad7-4fbd-978f-005f5c23344f","year":2023},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:50.354096Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:d4cec585bd7c371d35b8cc684c9df65d5c0c3fe591f229375b049c6bbfaf3a52","observation_id":"bf115fb3-a416-4b45-ad2e-9509ff162de2","resolution":{"observed_at":"2026-08-06T16:59:51.777998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:50.430164Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:50.430164Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:4822af31b7ec39613e6a9515f2c4af361b8c1e2d37bd5ecb44b45d4f804f524b","observation_id":"4bd60f5a-b4cc-4c0e-b388-5ae62f7e67ce","resolution":{"observed_at":"2026-08-06T16:59:50.430164Z","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":"2026-08-06T16:59:51.546072Z","title":"Kindling the darkness: A practical low-light image enhancer","venue":null,"work_id":"ad3fd477-34ad-46ec-9228-401861dec047","year":2019},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:50.531834Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:74b2cbbb95552f4f96140f5fd7efb97b6fd0dba1d033a713e4e5d3561f75f262","observation_id":"14324c00-9d66-4b09-b82b-5472cbdcd9d6","resolution":{"observed_at":"2026-08-06T16:59:51.625061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:51.393628Z","title":"Ultra-high-definition image hdr reconstruc- tion via collaborative bilateral learning","venue":null,"work_id":"6fd65cf6-ed8d-4c30-892e-3107512968ea","year":2021},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:50.580556Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:69a5bae8bcb2dab6809dba7f75bb8165783561ac05e5d30f46fcd5a8ab7ac4a1","observation_id":"f6b2cef4-96be-4a77-8a9c-73fd94359994","resolution":{"observed_at":"2026-08-06T16:59:51.466532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:51.242415Z","title":"4k-resolution photo exposure correction at 125 fps with˜ 8k parameters","venue":null,"work_id":"bb00688c-5a03-4bdc-8d99-96c1612c6a60","year":2024},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:50.656306Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:5a7b67f36321a9ad55a1afe85e821f6e0a666abe14ed6d00ba02195381337b43","observation_id":"3aa9a3d0-25b4-4d42-9abd-1d4c53f485ec","resolution":{"observed_at":"2026-08-06T16:59:51.316669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:51.090171Z","title":"The width in NAF-block is set as","venue":null,"work_id":"e4594f08-351e-4183-b390-864877ec38f0","year":null},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:50.740494Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:1d9c97b3fe21014574a064888e3cb93f8b32291f46e84522ba358e014d275bb7","observation_id":"0e1a3d37-e715-4c2f-a2d4-4146b2eb2cf6","resolution":{"observed_at":"2026-08-06T16:59:51.157482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T16:59:50.953775Z","title":"We then apply the pixel unshuffle operation to reduce its resolution by a factor of 4 while expanding the channel count by 16 times","venue":null,"work_id":"c9b3d526-7ea4-4fef-8faf-3b30edbd75cc","year":null},"citing_paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:50.807922Z"},"links":{"citing_paper":"/paper/2507.12135"},"observation_digest":"sha256:edf2b01179f6fa966ad3d9cdcbf11753450d6d3897b86b69f567687aa012471b","observation_id":"b896b29e-a5a8-4d21-a590-17956b91e29a","resolution":{"observed_at":"2026-08-06T16:59:51.004236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.12135","last_updated":"2025-07-16T11:09:39Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T16:01:22.797615Z","submitted_at":"2025-07-16T11:09:39Z","title":"Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement"},"reference_resolution":{"displayed":66,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":0,"verified_fuzzy":58},"total_outbound_references":66},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2507.12135."}